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    Climate-driven tradeoffs between landscape connectivity and the maintenance of the coastal carbon sink

    Macreadie, P. I. et al. The future of Blue Carbon science. Nat. Commun. 10, 3998 (2019).Article 
    ADS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Herbert, E. R., Windham-Myers, L. & Kirwan, M. L. Sea-level rise enhances carbon accumulation in United States tidal wetlands. One Earth 4, 425–433 (2021).Article 
    ADS 

    Google Scholar 
    Rogers, K. et al. Wetland carbon storage controlled by millennial-scale variation in relative sea-level rise. Nature 567, 91–95 (2019).Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar 
    Murray, N. J. et al. The global distribution and trajectory of tidal flats. Nature 565, 222–225 (2019).Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar 
    Saintilan, N. et al. Thresholds of mangrove survival under rapid sea level rise. Science 368, 1118–1121 (2020).Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar 
    Waycott, M. et al. Accelerating loss of seagrasses across the globe threatens coastal ecosystems. Proc. Natl Acad. Sci. USA 106, 12377–12381 (2009).Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Kirwan, M. L. & Gedan, K. B. Sea-level driven land conversion and the formation of ghost forests. Nat. Clim. Change 9, 450–457 (2019).Article 
    ADS 

    Google Scholar 
    Raabe, E. A. & Stumpf, R. P. Expansion of tidal marsh in response to sea-level rise: Gulf Coast of Florida, USA. Estuaries Coast. 39, 145–157 (2016).Article 

    Google Scholar 
    Ury, E. A., Yang, X., Wright, J. P. & Bernhardt, E. S. Rapid deforestation of a coastal landscape driven by sea-level rise and extreme events. Ecol. Appl. 31, e02339 (2021).Article 
    PubMed 

    Google Scholar 
    Mariotti, G. Revisiting salt marsh resilience to sea level rise: are ponds responsible for permanent land loss? J. Geophys. Res. Earth Surf. 121, 1391–1407 (2016).Article 
    ADS 

    Google Scholar 
    Schepers, L., Brennand, P., Kirwan, M. L., Guntenspergen, G. R. & Temmerman, S. Coastal marsh degradation into ponds induces irreversible elevation loss relative to sea level in a microtidal system. Geophys. Res. Lett. 47, e2020GL089121 (2020).Article 
    ADS 

    Google Scholar 
    Schieder, N. W., Walters, D. C. & Kirwan, M. L. Massive upland to wetland conversion compensated for historical marsh loss in Chesapeake Bay, USA. Estuaries Coasts 41, 940–951 (2018).Article 

    Google Scholar 
    Chmura, G. L., Anisfeld, S. C., Cahoon, D. R. & Lynch, J. C. Global carbon sequestration in tidal, saline wetland soils. Glob. Biogeochem. Cycles 17, 1111 (2003).Fourqurean, J. W. et al. Seagrass ecosystems as a globally significant carbon stock. Nat. Geosci. 5, 505–509 (2012).Article 
    ADS 
    CAS 

    Google Scholar 
    Mcleod, E. et al. A blueprint for blue carbon: toward an improved understanding of the role of vegetated coastal habitats in sequestering CO2. Front. Ecol. Environ. 9, 552–560 (2011).Article 

    Google Scholar 
    Smart, L. S. et al. Aboveground carbon loss associated with the spread of ghost forests as sea levels rise. Environ. Res. Lett. 15, 104028 (2020).Article 
    ADS 
    CAS 

    Google Scholar 
    Smith, A. J. & Kirwan, M. L. Sea level-driven marsh migration results in rapid net loss of carbon. Geophys. Res. Lett. 48, e2021GL092420 (2021).Article 
    ADS 
    CAS 

    Google Scholar 
    Phang, V. X. H., Chou, L. M. & Friess, D. A. Ecosystem carbon stocks across a tropical intertidal habitat mosaic of mangrove forest, seagrass meadow, mudflat and sandbar. Earth Surf. Process. Landf. 40, 1387–1400 (2015).Article 
    ADS 
    CAS 

    Google Scholar 
    Saavedra-Hortua, D. A., Friess, D. A., Zimmer, M. & Gillis, L. G. Sources of particulate organic matter across mangrove forests and adjacent ecosystems in different geomorphic settings. Wetlands 40, 1047–1059 (2020).Article 

    Google Scholar 
    Windham-Myers, L., Crooks, S. & Troxler, T. G. A Blue Carbon Primer: The State of Coastal Wetland Carbon Science, Practice and Policy (CRC Press, 2018).Donatelli, C., Kalra, T. S., Fagherazzi, S., Zhang, X. & Leonardi, N. Dynamics of marsh-derived sediments in lagoon-type estuaries. J. Geophys. Res. Earth Surf. 125, e2020JF005751 (2020).Article 
    ADS 

    Google Scholar 
    Hopkinson, C. S., Morris, J. T., Fagherazzi, S., Wollheim, W. M. & Raymond, P. A. Lateral marsh edge erosion as a source of sediments for vertical marsh accretion. J. Geophys. Res. Biogeosci. 123, 2444–2465 (2018).Article 
    CAS 

    Google Scholar 
    Mitchell, M. G. E., Bennett, E. M. & Gonzalez, A. Linking landscape connectivity and ecosystem service provision: current knowledge and research gaps. Ecosystems 16, 894–908 (2013).Article 

    Google Scholar 
    Pearson, R. M. et al. Disturbance type determines how connectivity shapes ecosystem resilience. Sci. Rep. 11, 1188 (2021).Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Grande, T. O., Aguiar, L. M. S. & Machado, R. B. Heating a biodiversity hotspot: connectivity is more important than remaining habitat. Landsc. Ecol. 35, 639–657 (2020).Article 

    Google Scholar 
    Olliver, E. A. & Edmonds, D. A. Hydrological connectivity controls magnitude and distribution of sediment deposition within the Deltaic Islands of Wax Lake Delta, LA, USA. J. Geophys. Res. Earth Surf. 126, e2021JF006136 (2021).Article 
    ADS 

    Google Scholar 
    Ward, N. D. et al. Representing the function and sensitivity of coastal interfaces in Earth system models. Nat. Commun. 11, 2458 (2020).Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Wohl, E. et al. Connectivity as an emergent property of geomorphic systems. Earth Surf. Process. Landf. 44, 4–26 (2019).Article 
    ADS 

    Google Scholar 
    Kirwan, M. L. & Mudd, S. M. Response of salt-marsh carbon accumulation to climate change. Nature 489, 550–553 (2012).Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar 
    Rietl, A. J., Megonigal, J. P., Herbert, E. R. & Kirwan, M. L. Vegetation type and decomposition priming mediate brackish marsh carbon accumulation under interacting facets of global change. Geophys. Res. Lett. 48, e2020GL092051 (2021).Article 
    ADS 
    CAS 

    Google Scholar 
    Kirwan, M. L., Walters, D. C., Reay, W. G. & Carr, J. A. Sea level driven marsh expansion in a coupled model of marsh erosion and migration. Geophys. Res. Lett. 43, 4366–4373 (2016).Article 
    ADS 

    Google Scholar 
    Mariotti, G. & Fagherazzi, S. A numerical model for the coupled long-term evolution of salt marshes and tidal flats. J. Geophys. Res. Earth Surf. 115, F01004 (2010).Theuerkauf, E. J., Stephens, J. D., Ridge, J. T., Fodrie, F. J. & Rodriguez, A. B. Carbon export from fringing saltmarsh shoreline erosion overwhelms carbon storage across a critical width threshold. Estuar. Coast. Shelf Sci. 164, 367–378 (2015).Article 
    CAS 

    Google Scholar 
    Murray, A. B. Reducing model complexity for explanation and prediction. Geomorphology 90, 178–191 (2007).Article 
    ADS 

    Google Scholar 
    Murray, A. B. & Paola, C. A cellular model of braided rivers. Nature 371, 54–57 (1994).Article 
    ADS 

    Google Scholar 
    Mariotti, G. & Carr, J. Dual role of salt marsh retreat: long-term loss and short-term resilience. Water Resour. Res. 50, 2963–2974 (2014).Article 
    ADS 

    Google Scholar 
    Mudd, S. M., Howell, S. M. & Morris, J. T. Impact of dynamic feedbacks between sedimentation, sea-level rise, and biomass production on near-surface marsh stratigraphy and carbon accumulation. Estuar. Coast. Shelf Sci. 82, 377–389 (2009).Article 
    ADS 
    CAS 

    Google Scholar 
    Mudd, S. M., Fagherazzi, S., Morris, J. T. & Furbish, D. J. Flow, sedimentation, and biomass production on a vegetated salt marsh in South Carolina: toward a predictive model of marsh morphologic and ecologic evolution. Ecogeomorphology Tidal Marshes 59, 165–188 (2004).Reeves, I. R. B. et al. Impacts of seagrass dynamics on the coupled long-term evolution of barrier-marsh-bay systems. J. Geophys. Res. Biogeosci. 125, e2019JG005416 (2020).Article 
    ADS 

    Google Scholar 
    Spivak, A. C., Sanderman, J., Bowen, J. L., Canuel, E. A. & Hopkinson, C. S. Global-change controls on soil-carbon accumulation and loss in coastal vegetated ecosystems. Nat. Geosci. 12, 685–692 (2019).Article 
    ADS 
    CAS 

    Google Scholar 
    de Broek, M. V. et al. Long-term organic carbon sequestration in tidal marsh sediments is dominated by old-aged allochthonous inputs in a macrotidal estuary. Glob. Change Biol. 24, 2498–2512 (2018).Article 
    ADS 

    Google Scholar 
    Noyce, G. L., Kirwan, M. L., Rich, R. L. & Megonigal, J. P. Asynchronous nitrogen supply and demand produce nonlinear plant allocation responses to warming and elevated CO2. Proc. Natl Acad. Sci. USA 116, 21623–21628 (2019).Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Smith, A. J., Noyce, G. L., Megonigal, J. P., Guntenspergen, G. R. & Kirwan, M. L. Temperature optimum for marsh resilience and carbon accumulation revealed in a whole-ecosystem warming experiment. Glob. Change Biol. 28, 3236–3245 (2022).Article 
    CAS 

    Google Scholar 
    Guimond, J. & Tamborski, J. Salt marsh hydrogeology: a review. Water 13, 543 (2021).Article 
    CAS 

    Google Scholar 
    Xin, P. et al. Surface water and groundwater interactions in salt marshes and their impact on plant ecology and coastal biogeochemistry. Rev. Geophys. 60, e2021RG000740 (2022).Article 
    ADS 

    Google Scholar 
    Chen, Y. & Kirwan, M. L. Climate-driven decoupling of wetland and upland biomass trends on the mid-Atlantic coast. Nat. Geosci. 15, 913–918 (2022).Article 
    ADS 
    CAS 

    Google Scholar 
    Rapalee, G., Trumbore, S. E., Davidson, E. A., Harden, J. W. & Veldhuis, H. Soil Carbon stocks and their rates of accumulation and loss in a boreal forest landscape. Glob. Biogeochem. Cycles 12, 687–701 (1998).Article 
    ADS 
    CAS 

    Google Scholar 
    Stewart, C. E., Paustian, K., Conant, R. T., Plante, A. F. & Six, J. Soil carbon saturation: concept, evidence and evaluation. Biogeochemistry 86, 19–31 (2007).Article 
    CAS 

    Google Scholar 
    Zhou, T. et al. Age-dependent forest carbon sink: Estimation via inverse modeling. J. Geophys. Res. Biogeosci. 120, 2473–2492 (2015).Article 
    CAS 

    Google Scholar 
    Morris, J. T., Sundareshwar, P. V., Nietch, C. T., Kjerfve, B. & Cahoon, D. R. Responses of coastal wetlands to rising sea level. Ecology 83, 2869–2877 (2002).Article 

    Google Scholar 
    Kirwan, M. L., Temmerman, S., Skeehan, E. E., Guntenspergen, G. R. & Fagherazzi, S. Overestimation of marsh vulnerability to sea level rise. Nat. Clim. Change 6, 253–260 (2016).Article 
    ADS 

    Google Scholar 
    Brinson, M. M., Christian, R. R. & Blum, L. K. Multiple states in the sea-level induced transition from terrestrial forest to estuary. Estuaries 18, 648–659 (1995).Article 
    CAS 

    Google Scholar 
    Schieder, N. W. & Kirwan, M. L. Sea-level driven acceleration in coastal forest retreat. Geology 47, 1151–1155 (2019).Article 
    ADS 

    Google Scholar 
    Leonardi, N., Ganju, N. K. & Fagherazzi, S. A linear relationship between wave power and erosion determines salt-marsh resilience to violent storms and hurricanes. Proc. Natl Acad. Sci. USA 113, 64–68 (2016).Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar 
    Feagin, R. A., Martinez, M. L., Mendoza-Gonzalez, G. & Costanza, R. Salt marsh zonal migration and ecosystem service change in response to global sea level rise: a case study from an urban region. Ecol. Soc. 15, 14 (2010).Sapkota, Y. & White, J. R. Marsh edge erosion and associated carbon dynamics in coastal Louisiana: a proxy for future wetland-dominated coastlines world-wide. Estuar. Coast. Shelf Sci. 226, 106289 (2019).Article 
    CAS 

    Google Scholar 
    Smith, K. E. L., Terrano, J. F., Khan, N. S., Smith, C. G. & Pitchford, J. L. Lateral shoreline erosion and shore-proximal sediment deposition on a coastal marsh from seasonal, storm and decadal measurements. Geomorphology 389, 107829 (2021).Article 

    Google Scholar 
    Bouma, T. J. et al. Short-term mudflat dynamics drive long-term cyclic salt marsh dynamics. Limnol. Oceanogr. 61, 2261–2275 (2016).Article 
    ADS 

    Google Scholar 
    Gillis, L. G. et al. Potential for landscape-scale positive interactions among tropical marine ecosystems. Mar. Ecol. Prog. Ser. 503, 289–303 (2014).Article 
    ADS 

    Google Scholar 
    Schuerch, M., Dolch, T., Reise, K. & Vafeidis, A. T. Unravelling interactions between salt marsh evolution and sedimentary processes in the Wadden Sea (southeastern North Sea). Prog. Phys. Geogr. Earth Environ. 38, 691–715 (2014).Article 

    Google Scholar 
    Gonneea, M. E. et al. Salt marsh ecosystem restructuring enhances elevation resilience and carbon storage during accelerating relative sea-level rise. Estuar. Coast. Shelf Sci. 217, 56–68 (2019).Article 
    ADS 
    CAS 

    Google Scholar 
    McTigue, N. et al. Sea level rise explains changing carbon accumulation rates in a salt marsh over the past two millennia. J. Geophys. Res. Biogeosci. 124, 2945–2957 (2019).Article 
    CAS 

    Google Scholar 
    Wang, F., Lu, X., Sanders, C. J. & Tang, J. Tidal wetland resilience to sea level rise increases their carbon sequestration capacity in United States. Nat. Commun. 10, 5434 (2019).Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Wang, F. et al. Global blue carbon accumulation in tidal wetlands increases with climate change. Natl Sci. Rev. 8, nwaa296 (2021).Article 
    CAS 
    PubMed 

    Google Scholar 
    Ganju, N. K., Defne, Z., Elsey-Quirk, T. & Moriarty, J. M. Role of tidal wetland stability in lateral fluxes of particulate organic matter and carbon. J. Geophys. Res. Biogeosci. 124, 1265–1277 (2019).Article 
    CAS 

    Google Scholar 
    Krauss, K. W. et al. The role of the upper tidal estuary in wetland blue carbon storage and flux. Glob. Biogeochem. Cycles 32, 817–839 (2018).Article 
    ADS 
    CAS 

    Google Scholar 
    Baustian, M. M., Stagg, C. L., Perry, C. L., Moss, L. C. & Carruthers, T. J. B. Long-term carbon sinks in marsh soils of coastal louisiana are at risk to wetland loss. J. Geophys. Res. Biogeosci. 126, e2020JG005832 (2021).Article 
    ADS 

    Google Scholar 
    DeLaune, R. D. & White, J. R. Will coastal wetlands continue to sequester carbon in response to an increase in global sea level?: a case study of the rapidly subsiding Mississippi river deltaic plain. Clim. Change 110, 297–314 (2012).Article 
    ADS 

    Google Scholar 
    Lovelock, C. E. & Duarte, C. M. Dimensions of Blue Carbon and emerging perspectives. Biol. Lett. 15, 20180781 (2019).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Lovelock, C. E. & Reef, R. Variable impacts of climate change on Blue Carbon. One Earth 3, 195–211 (2020).Article 
    ADS 

    Google Scholar 
    Bernal, B. & Mitsch, W. J. Comparing carbon sequestration in temperate freshwater wetland communities. Glob. Change Biol. 18, 1636–1647 (2012).Article 
    ADS 

    Google Scholar 
    Mack, S. K., Lane, R. R., Deng, J., Morris, J. T. & Bauer, J. J. Wetland carbon models: applications for wetland carbon commercialization. Ecol. Model. 476, 110228 (2023).Article 
    CAS 

    Google Scholar 
    Young, I. R. & Verhagen, L. A. The growth of fetch limited waves in water of finite depth. Part 1. Total energy and peak frequency. Coast. Eng. 29, 47–78 (1996).Article 

    Google Scholar 
    Mariotti, G. & Fagherazzi, S. Critical width of tidal flats triggers marsh collapse in the absence of sea-level rise. Proc. Natl Acad. Sci. USA 110, 5353–5356 (2013).Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Koppel, J., van de, Wal, D., van der, Bakker, J. P. & Herman, P. M. J. Self‐organization and vegetation collapse in salt marsh ecosystems. Am. Nat. 165, E1–E12 (2005).Article 
    PubMed 

    Google Scholar 
    D’Alpaos, A., Lanzoni, S., Marani, M. & Rinaldo, A. Landscape evolution in tidal embayments: modeling the interplay of erosion, sedimentation, and vegetation dynamics. J. Geophys. Res. Earth Surf. 112, F01008 (2007).Kirwan, M. L. et al. Limits on the adaptability of coastal marshes to rising sea level. Geophys. Res. Lett. 37, L23401 (2010).Larsen, L. G. & Harvey, J. W. How vegetation and sediment transport feedbacks drive landscape change in the everglades and wetlands worldwide. Am. Nat. 176, E66–E79 (2010).Article 
    PubMed 

    Google Scholar 
    Smith, J. A. M. The role of Phragmites australis in mediating inland salt marsh migration in a Mid-Atlantic Estuary. PLoS ONE 8, e65091 (2013).Article 
    ADS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Mariotti, G., Elsey-Quirk, T., Bruno, G. & Valentine, K. Mud-associated organic matter and its direct and indirect role in marsh organic matter accumulation and vertical accretion. Limnol. Oceanogr. 65, 2627–2641 (2020).Article 
    ADS 
    CAS 

    Google Scholar 
    Ladd, C. J. T., Duggan-Edwards, M. F., Bouma, T. J., Pagès, J. F. & Skov, M. W. Sediment supply explains long-term and large-scale patterns in salt marsh lateral expansion and erosion. Geophys. Res. Lett. 46, 11178–11187 (2019).Article 
    ADS 

    Google Scholar 
    Törnqvist, T. E., Jankowski, K. L., Li, Y.-X. & González, J. L. Tipping points of Mississippi Delta marshes due to accelerated sea-level rise. Sci. Adv. 6, eaaz5512 (2020).Article 
    ADS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Fagherazzi, S. et al. Numerical models of salt marsh evolution: ecological, geomorphic, and climatic factors. Rev. Geophys. 50, RG1002 (2012). More

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    Human footprint is associated with shifts in the assemblages of major vector-borne diseases

    Ellis, E. C. et al. People have shaped most of terrestrial nature for at least 12,000 years. Proc. Natl. Acad. Sci. USA 118, e2023483118 (2021).Article 
    CAS 

    Google Scholar 
    Williams, B. A. et al. Change in terrestrial human footprint drives continued loss of intact ecosystems. One Earth 3, 371–382 (2020).Article 

    Google Scholar 
    Kuipers, K. J. J. et al. Habitat fragmentation amplifies threats from habitat loss to mammal diversity across the world’s terrestrial ecoregions. One Earth 4, 1505–1513 (2021).Article 

    Google Scholar 
    Venter, O. et al. Sixteen years of change in the global terrestrial human footprint and implications for biodiversity conservation. Nat. Commun. 7, 12558 (2016).Article 
    CAS 

    Google Scholar 
    Watson, J. E. M. & Venter, O. Mapping the continuum of humanity’s footprint on land. One Earth 1, 175–180 (2019).Article 

    Google Scholar 
    Foley, J. A. et al. Global consequences of land use. Science 309, 570–574 (2005).Article 
    CAS 

    Google Scholar 
    Glidden, C. K. et al. Human-mediated impacts on biodiversity and the consequences for zoonotic disease spillover. Curr. Biol. 31, R1342–R1361 (2021).Article 
    CAS 

    Google Scholar 
    Grobbelaar, A. A. et al. Resurgence of yellow fever in Angola, 2015-2016. Emerg. Infect. Dis. 22, 1854–1855 (2016).Article 

    Google Scholar 
    Gubler, D. J. Epidemic dengue/dengue hemorrhagic fever as a public health, social and economic problem in the 21st century. Trends Microbiol. 10, 100–103 (2002).Article 
    CAS 

    Google Scholar 
    Hotez, P. J. Neglected tropical diseases in the Anthropocene: the cases of Zika, Ebola, and other infections. PLoS Negl. Trop. Dis. 10, e0004648 (2016).Article 

    Google Scholar 
    Paixão, E. S., Teixeira, M. G. & Rodrigues, L. C. Zika, chikungunya and dengue: the causes and threats of new and re-emerging arboviral diseases. BMJ Glob. Health 3, e000530 (2018).Article 

    Google Scholar 
    Rosenberg, R. et al. Vital signs: trends in reported vectorborne disease cases – United States and territories, 2004-2016. Morb. Mortal. Wk. Rep. 67, 496–501 (2018).Article 

    Google Scholar 
    World Malaria Report 2020: 20 Years of Global Progress and Challenges (WHO, 2020); https://apps.who.int/iris/handle/10665/337660Lambin, E. F., Tran, A., Vanwambeke, S. O., Linard, C. & Soti, V. Pathogenic landscapes: interactions between land, people, disease vectors, and their animal hosts. Int. J. Health Geogr. 9, 54 (2010).Article 

    Google Scholar 
    Shocket, M. S. et al. Transmission of West Nile and five other temperate mosquito-borne viruses peaks at temperatures between 23 °C and 26 °C. eLife 9, e58511 (2020).Article 
    CAS 

    Google Scholar 
    Kilpatrick, A. M. & Randolph, S. E. Drivers, dynamics, and control of emerging vector-borne zoonotic diseases. Lancet 380, 1946–1955 (2012).Article 

    Google Scholar 
    Franklinos, L. H. V., Jones, K. E., Redding, D. W. & Abubakar, I. The effect of global change on mosquito-borne disease. Lancet Infect. Dis. 19, e302–e312 (2019).Article 

    Google Scholar 
    Keys, P. W., Barnes, E. A. & Carter, N. H. A machine-learning approach to human footprint index estimation with applications to sustainable development. Environ. Res. Lett. 16, 044061 (2021).Article 

    Google Scholar 
    Venter, O. et al. Global terrestrial human footprint maps for 1993 and 2009. Sci. Data 3, 160067 (2016).Article 

    Google Scholar 
    Di Marco, M., Ferrier, S., Harwood, T. D., Hoskins, A. J. & Watson, J. E. M. Wilderness areas halve the extinction risk of terrestrial biodiversity. Nature 573, 582–585 (2019).Article 

    Google Scholar 
    Hill, J. E., DeVault, T. L., Wang, G. & Belant, J. L. Anthropogenic mortality in mammals increases with the human footprint. Front. Ecol. Environ. 18, 13–18 (2020).Article 

    Google Scholar 
    Elsen, P. R., Monahan, W. B. & Merenlender, A. M. Topography and human pressure in mountain ranges alter expected species responses to climate change. Nat. Commun. 11, 1974 (2020).Article 
    CAS 

    Google Scholar 
    Su, J., Yin, H. & Kong, F. Ecological networks in response to climate change and the human footprint in the Yangtze River Delta urban agglomeration, China. Landsc. Ecol. 36, 2095–2112 (2021).Article 

    Google Scholar 
    Hansen, A. J. et al. A policy-driven framework for conserving the best of Earth’s remaining moist tropical forests. Nat. Ecol. Evol. 4, 1377–1384 (2020).Article 

    Google Scholar 
    Dos Santos, C. V. B., da Paixão Sevá, A., Werneck, G. L. & Struchiner, C. J. Does deforestation drive visceral leishmaniasis transmission? A causal analysis. Proc. R. Soc. B 288, 20211537 (2021).Article 

    Google Scholar 
    MacDonald, A. J. & Mordecai, E. A. Amazon deforestation drives malaria transmission, and malaria burden reduces forest clearing. Proc. Natl. Acad. Sci. USA 116, 22212–22218 (2019).Article 
    CAS 

    Google Scholar 
    Honório, N. A. et al. Dispersal of Aedes aegypti and Aedes albopictus (Diptera: Culicidae) in an urban endemic dengue area in the State of Rio de Janeiro, Brazil. Mem. Inst. Oswaldo Cruz 98, 191–198 (2003).Article 

    Google Scholar 
    Rodrigues, N. B. et al. Brazilian Aedes aegypti as a competent vector for multiple complex arboviral coinfections. J. Infect. Dis. 224, 101–108 (2021).Article 

    Google Scholar 
    Weinstein, J. S., Leslie, T. F. & von Fricken, M. E. Spatial associations between land use and infectious disease: Zika virus in Colombia. Int. J. Environ. Res. Public Health 17, E1127 (2020).Article 

    Google Scholar 
    Heukelbach, J., Alencar, C. H., Kelvin, A. A., de Oliveira, W. K. & Pamplona de Góes Cavalcanti, L. Zika virus outbreak in Brazil. J. Infect. Dev. Countr. 10, 116–120 (2016).Article 

    Google Scholar 
    Lowe, R. et al. The Zika virus epidemic in Brazil: from discovery to future implications. Int. J. Environ. Res. Public Health 15, E96 (2018).Article 

    Google Scholar 
    Alves, M. C. G. P., de Matos, M. R., de Lourdes Reichmann, M. & Dominguez, M. H. Estimation of the dog and cat population in the State of São Paulo. Rev. Saude Publica 39, 891–897 (2005).Article 

    Google Scholar 
    Mordecai, E. A. et al. Thermal biology of mosquito-borne disease. Ecol. Lett. 22, 1690–1708 (2019).Article 

    Google Scholar 
    Gage, K. L., Burkot, T. R., Eisen, R. J. & Hayes, E. B. Climate and vectorborne diseases. Am. J. Prev. Med. 35, 436–450 (2008).Article 

    Google Scholar 
    Doenças e Agravos de Notificação – 2007 em Diante (SINAN) (DATASUS, Ministério da Saúde do Brasil, 2021); https://datasus.saude.gov.br/acesso-a-informacao/doencas-e-agravos-de-notificacao-de-2007-em-diante-sinan/SIVEP – MALÁRIA Notificação de Casos (Ministério da Saúde do Brasil, 2021); http://200.214.130.44/sivep_malaria/R Core Team. R: A language and environment for statistical computing (R Foundation for Statistical Computing, 2020); https://www.R-project.org/Sorichetta, A. et al. High-resolution gridded population datasets for Latin America and the Caribbean in 2010, 2015, and 2020. Sci. Data 2, 150045 (2015).Article 

    Google Scholar 
    Harris, I., Osborn, T. J., Jones, P. & Lister, D. Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset. Sci. Data 7, 109 (2020).Article 

    Google Scholar 
    Souza at. al. Reconstructing three decades of land use and land cover changes in Brazilian biomes with Landsat archive and Earth Engine. Remote Sens. 12, https://doi.org/10.3390/rs12172735 (2020).Fountain-Jones, N. M. et al. How to make more from exposure data? An integrated machine learning pipeline to predict pathogen exposure. J. Anim. Ecol. 88, 1447–1461 (2019).Article 

    Google Scholar 
    Breiman, L. Random forests. Mach. Learn. 45, 5–32 (2001).Article 

    Google Scholar 
    Genuer, R., Poggi, J.-M. & Tuleau-Malot, C. Variable selection using random forests. Pattern Recogn. Lett. 31, 2225–2236 (2010).Article 

    Google Scholar 
    Wei, T. et al. Package ‘corrplot’. Statistician 56, e24 (2017).
    Google Scholar 
    Ratner, B. The correlation coefficient: its values range between +1/−1, or do they? J. Target. Meas. Anal. Mark. 17, 139–142 (2009).Article 

    Google Scholar 
    Ishwaran, H. & Kogalur, U. B. Fast unified random forests for survival, regression, and classification (RF-SRC) (2019).O’Brien, R. & Ishwaran, H. A random forests quantile classifier for class imbalanced data. Pattern Recognit. 90, 232–249 (2019).Article 

    Google Scholar 
    Silge, J. & Mahoney, M. spatialsample: spatial resampling infrastructure. R version 0.2.1 (2023).Bhatt, S. et al. The global distribution and burden of dengue. Nature 496, 504–507 (2013).Article 
    CAS 

    Google Scholar 
    Weaver, S. C. & Forrester, N. L. Chikungunya: evolutionary history and recent epidemic spread. Antivir. Res. 120, 32–39 (2015).Article 
    CAS 

    Google Scholar 
    Puntasecca, C. J., King, C. H. & LaBeaud, A. D. Measuring the global burden of chikungunya and Zika viruses: a systematic review. PLoS Negl. Trop. Dis. 15, e0009055 (2021).Article 

    Google Scholar 
    Baeza, A., Santos-Vega, M., Dobson, A. P. & Pascual, M. The rise and fall of malaria under land-use change in frontier regions. Nat. Ecol. Evol. 1, 108 (2017).Article 

    Google Scholar 
    de Araújo Pedrosa, F. & de Alencar Ximenes, R. A. Sociodemographic and environmental risk factors for American cutaneous leishmaniasis (ACL) in the State of Alagoas, Brazil. Am. J. Trop. Med. Hyg. 81, 195–201 (2009).Article 

    Google Scholar 
    Gonçalves, N. V. et al. Cutaneous leishmaniasis: spatial distribution and environmental risk factors in the state of Pará, Brazilian Eastern Amazon. J. Infect. Dev. Countr. 13, 939–944 (2019).Article 

    Google Scholar 
    Leishmaniasis (Pan American Health Organization, 2022); https://www.paho.org/en/topics/leishmaniasisHarhay, M. O., Olliaro, P. L., Costa, D. L. & Costa, C. H. N. Urban parasitology: visceral leishmaniasis in Brazil. Trends Parasitol. 27, 403–409 (2011).Article 

    Google Scholar  More

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    Vitamin B12 is not shared by all marine prototrophic bacteria with their environment

    Vitamin B12 biosynthesis potential of different bacteriaB vitamins play a key role in complex marine microbial interactions as they are obligatory cofactors in various essential metabolic reactions in all living organism [13, 14, 39,40,41]. An exciting fact about B12 is that genes for synthesis of this complex cofactor have never made the transition to the eukaryotic kingdom, although it is required by both prokaryotes and eukaryotes. De novo synthesis is restricted to a minor fraction of bacteria and archaea, thus, suggesting that the ability to synthesise B12 is disproportionate to its demand in nature [1, 4]. This phenomenon can be observed in various habitats, for example in the soil microbiome, where the proportion of B12 producers is less than one tenth [8]. Similar findings have been shown for the microbiome on human skin, where only 1% of the core species are predicted to produce B12 de novo, while 39 % of the species are predicted to use B12 for metabolism [42]. In order to adequately answer this fundamental question regarding the balance between B12 availability and consumption, we should aim to better understand the synthesis potential of individual prototrophic prokaryotes.Here we present intra- and extracellular B12 concentrations of various B12 prototrophic, alphaproteobacterial strains. The concentration of intracellular B12 differs widely between the various heterotrophic bacteria examined. Converted, B12 molecules detected per cell ranged between 664 to 26,619 in the analysed bacterial cultures, including B12-provider and B12-retainer. Such strong variation in intracellular B12 concentrations have already been shown for a number of other prokaryotes, including Archaea, heterotrophic bacteria, and cyanobacteria [11, 34]. Also, in these studies, the detected intracellular B12 values differed up to three orders of magnitude and showed values similar to the ones we detected. Whether factors such as cell size, which we did not consider in our analysis, or the exact growth phase in which we took the samples had an influence on the strong variation cannot be clarified here. It is quite conceivable that different B12 requirements of the individual cells or different regulatory mechanisms of B12 synthesis played a decisive role for the intracellular B12 concentrations. Nevertheless, we can conclude that not only the genetic B12 biosynthetic potential within a microbial community is decisive, but rather which prokaryote is actually present is crucial for the availability of B12.The extracellular concentrations of B12 detected in M. algicola and P. inhibens were about 8 and 256 times lower than respective intracellular levels. For example, M. algicola secreted about 936 B12 molecules per cell, which was roughly 85 times more as detected for P. inhibens. On the basis of the detected B12 demand of T. pseudonana determined by the bioassay, we can calculate that the eukaryote requires roughly 135,000 B12 molecules per cell, if we base the limitation of cell number solely on B12 availability. Thus, it would take about 144 living M. algicola cells that release B12 to cover the requirements for the growth of one T. pseudonana cell. In fact, the bacterial cell numbers in the stationary phase of the B12-provider-diatom co-cultures were at least 110 times higher than the cell numbers of T. pseudonana. These calculations are all based on ideal laboratory conditions, with sufficient supply of inorganic nutrients and organic substrates and may differ in natural environments where viral infections or sloppy feeding can lead to cell disruption and subsequent release of intracellular B12 [43, 44]. Also, B12 requirement of T. pseudonana cells can vary under different growth conditions. For example, it has been shown that growth of T. pseudonana even with 1 pM of B12 can result in a significant change in the metabolite pool of the diatom, which in turn may have implications for the interaction with bacteria [45]. Nevertheless, our data give a first approximate insight into the interplay between B12-producers and -consumers in the world of microorganisms.Bacterial effects on the growth of T. pseudonana
    Growth characteristics of T. pseudonana in co-culture show not only the obligatory provision of B12 by bacteria but also other bacterial factors that influence growth. For example, we observed that Sulfitobacter litoralis, a representative of the Roseobacter group, showed inhibitory behaviour towards the diatom. Other studies have shown that Roseobacter group isolates can produce inhibitory substances, roseobacticides, which can suppress the growth of eukaryotic phototrophs [46]. The provision of B12 leads to a promotion in growth and, at the same time, growth of the diatom is inhibited. One reason for the different growth characteristics of the diatoms observed in co-culture with different bacteria could be the adaptation to different habitats where the bacterial isolates naturally occur.In contrast to these observations, Celeribacter baekdonensis DSM 27375 significantly stimulated the growth of T. pseudonana. Even though C. baekdonensis did not provide B12 despite being synthesized, its presence in co-culture with B12 addition significantly increased the growth rate and growth yield of T. pseudonana compared to the positive control of the corresponding experimental run. In previous bacterial-diatom co-culture experiments, it has been shown that the excretion of cyclic peptides, diketopiperazines, by a bacterium, significantly increased diatom cell numbers [47]. Another plausible scenario is the synthesis and excretion of indoleacetic acid (IAA) by C. baekdonensis, which is a growth-promoting hormone for diatoms [48]. A similar effect is also conceivable for C. baekdonensis and would be exciting to explore in greater depth.A finding that appears to be overlooked in the context of our actual question is the fact that the expected bacterial cell death does not necessarily lead to the release of B12, which would promote the growth of T. pseudonana, and thus promote the interaction. Even after up to six weeks in co-culture, we cannot observe significant growth of T. pseudonana despite the presence of a bacterial B12 prototroph. This fact highlights the importance of cell lysis mechanisms in nature, for example caused by viral infections or sloppy feeding. Already today, these two natural processes are considered to play a significant role in the turnover of dissolved organic matter [44, 49,50,51] and are likely to also have a decisive influence on the release of B-vitamins in marine ecosystems [23]. Additionally, T. pseudonana is known to secret a B12 binding protein under B12 deficient conditions that has an affinity constant of 2 × 1011 M−1. This protein might help them to acquire B12 from the surroundings, when it is released through bacterial cell lysis mechanism [52]. Other phytoplankton might also have a similar strategy to scavenge B12 from the environment. When intracellular B12 is considered as a reservoir for other B12 auxotrophic microorganisms, then, for example, already 19 M. algicola cells would be sufficient to enable the growth of one T. pseudonana cell.The vital cofactor B12 is not shared by all prototrophic bacteriaAbout half of the marine phytoplankton species are B12 auxotrophs and rely on prototrophic prokaryotes to obtain this essential vitamin [1, 53]. Several co-culture experiments have confirmed that individual marine bacterial isolates, mainly Alphaproteobacteria, enable phytoplankton species to overcome their auxotrophy by providing the essential cofactor [13,14,15,16, 27, 28]. In our study we hypothesised that not all B12 prototrophs share B12 with other microorganisms and to prove that we performed individual co-culture experiments between T. pseudonana and 33 B12 prototrophic bacteria. B12 prototrophy of the bacterial isolates was confirmed by their genetic ability to synthesize B12 (Supplementary table S2) and their ability to grow in B12-free medium. The results of our study support this hypothesis, as we were able to identify one group of bacteria that enables growth of T. pseudonana by the supply of the essential cofactor, B12-providers. On the other hand, we also identified a second group of B12 prototrophic bacteria that did not support the growth of the diatom, the B12-retainers. Moreover, while categorizing them into B12-providers and B12-retainers, we observed that there are species within one genus, such as P. inhibens and P. galleciensis, in which one is a B12-provider and the other is a B12-retainer, respectively, although both of them possess the necessary genes for B12 biosynthesis. Yet, the question remains why some bacteria share the cofactor, and others, despite an obligatory interaction enforced in co-culture, do not. In the following, we describe and discuss three scenarios that we consider plausible, whereby not only one scenario has to be correct, but rather all three can take place in the B12-retainer strains that we have identified.First, biosynthesis of metabolites, such as the energetically costly B12 cofactor, are subject to intracellular regulation. Transcriptional regulation of the B12 biosynthesis pathway determines whether, and in what quantity B12 is synthesised in the cell. For example, sigma factors can alter the specificity of an RNA polymerase for a particular promoter, so that gene expression is enhanced or reduced [54]. In the case of the bacterial isolate Propionibacterium strain UF1, the riboswitch cbiMCbl was identified to regulate the gene expression of the cobA operon and thus controls B12 biosynthesis [55]. It is also known that sufficient availability of B12 can repress B12 biosynthesis gene expression in bacteria [56, 57]. In gram-negative proteobacteria as well as in cyanobacteria, for example, cobalamin (pseudocobalamin, in case of some bacteria) biosynthesis and B12 transport genes are regulated by inhibition of translation initiation, whereas in some gram-positive bacteria gene regulation proceeds by transcriptional antitermination [58]. The mechanisms described above are likely to also occur in the bacterial isolates that we tested. The large difference between the detected intracellular B12 concentrations could therefore be due to differences in gene regulation of the different bacteria and may also have had an influence on the release of B12 in the co-culture with T. pseudonana.Second, cobalamin, which we referred to here as B12 for simplicity, belongs to a group of B12-like metabolites, called cobamides. Each cobamide differs in the lower ligand attached. For example, the common cobamide, cobalamin, which is bioavailable to most microorganisms, carries 5,6-dimethylbenzimidazol (DMB) as its lower ligand, whereas pseudocobalamin synthesised by cyanobacteria in high concentrations in the ocean and being less or not bioavailable to most microorganisms, has adenine attached as its lower ligand [11, 41, 59, 60]. In general, the lower ligands of cobamides can be divided into benzimidazoles, purines, and phenols, and more than a dozen cobamides and cobamide-analogs have already been discovered [61]. However, research into the synthesis and actual diversity of cobamides, especially in marine bacteria and archaea, is still in its infancy. In our study, we were unable to detect intracellular B12 in four out of eight bacterial B12-retainer strains, although the cell counts at the time of sampling should have been sufficient for its detection. However, as is generally the case, our LC-MS analysis only targets cobalamin (B12) with its different upper ligands (adenosyl-, cyano-, methyl-, and hydroxy-cobalamin). Therefore, we cannot exclude the possibility that the here studied bacteria synthesise different cobamides, which are possibly not or less bioavailable to T. pseudonana, and not covered by our analytical measurement method. This speculation was supported by the fact that one of these four B12- retainer strains, Sulfitobacter sp. DFL-23, does not possess the DMB synthesis gene bluB and there was no intracellular B12 detected in this strain (Supplementary table S2 and Table 2). Again, it is difficult to explain this phenomenon solely depending on the presence of annotated DMB synthesis gene, as for Loktanella salsilacus DSM 16199 no bluB gene was annotated, still we detected intracellular B12 in this strain using our detection method (Supplementary table S2 and Table 2).Third, the bacteria we have identified as B12-retainer simply may not have actively released the synthesised B12 into their environment. Regardless of the importance of B12 for the vast majority of living organisms on our planet, its excretion mechanisms are to our knowledge still largely unknown. Its size of more than 1,350 Dalton does not allow sufficient diffusion through the cell membrane, which would enable microbial interactions [32]. Thus, it is likely that an unknown mechanism is required for its release. This assumption is further supported by the fact that we were able to detect intracellular B12 in four of the eight B12-retainer strains and at concentrations comparable to those detected in the B12-provider strains. In addition, we could detect intracellular B12 in P. xiamenensis, but none in its exometabolome. On the other hand, presence of extracellular B12 was detected in the exometabolome of both the provider strains examined, M. algicola and P. inhibens. Our findings show that not all bacteria share the pivotal cofactor with their environment, which has an impact on our current understanding of the marine B12 cycle and presumably in other ecosystems as well. The active exchange of B12 and thus microbial interaction plays a much smaller role than previously assumed for a relatively large number of bacteria. Consequently, for some of the B12 prototrophic bacteria within a community, it is likely that the cofactor is only released upon cell lysis.B12 production in the marine ecosystem and ecological implicationsLooking at the original source of B12 in nature, namely prototrophic bacteria and archaea, the bacteria studied here show pronounced differences between the biosynthetic potentials of the cofactors and the ability to share them with their environment. Thus, the natural source of vitamin B12 within a given ecosystem does not primarily depend on the ratio of prototrophic bacteria, but even more crucially on how much of the cofactor is synthesised by the prototrophic prokaryotes within an ecosystem and is actively released. The fact that some bacteria do not voluntarily share B12 with ambient microorganisms, significantly increases the importance of processes, such as sloppy feeding by zooplankton or virus infections [44, 49,50,51], for the release of vitamins in the marine and likely also other ecosystems.Our results also contribute to the controversially discussed question of whether B12 prototrophic bacteria live in symbiosis with phototrophic microorganisms [13, 30]. Despite numerous co-cultivation experiments demonstrating the obligatory provision of B12 by individual bacteria to phototrophic microorganisms, the decisive question of the mechanism of provision has so far been overlooked [13,14,15,16, 27, 28]. In our view, however, this question is crucial when assessing whether a symbiotic interaction is taking place. Our results support the hypothesis that a bacterial mechanism for the active release is likely to exist, as our experiments distinguish between B12-provider and B12-retainer within prototrophic bacteria. Looking at the ecological niches and the isolation sites of the two respective groups, differences can be identified. Most B12-provider strains were isolated from or discovered in association with eukaryotic microorganisms, whereas most B12-retainer strains were isolated as free-living in the ocean (Supplementary table S4). Moreover, six of the tested bacterial strains were isolated from dinoflagellates and five of them were B12-provider. Since we used a diatom as a B12 auxotrophic organism in our study, it would also be interesting to know if these B12-provider strains also provide B12 to other phytoplankton, such as dinoflagellates. Also, in this study we only studied bacteria from the alphaproteobacteria class, since a large share of them are known to be B12 prototrophs and abundant in the marine ecosystem. For future studies, it would be interesting to see if a similar pattern of B12 provisioning can be observed in bacteria from other classes. Our results indicate that the B12 prototrophy of a bacterium does not necessarily indicate a mutualistic interaction with other auxotrophic microorganisms. However, the bacterial group of B12-provider in particular seems to favour living in close proximity to other microorganisms, which is why the exchange of B12 for e.g. organic compounds can establish itself as a distinct symbiotic interaction between individual microorganisms. More

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    A longer wood growing season does not lead to higher carbon sequestration

    Verkerk, P., et al. Forest products in the global bioeconomy. The role of forest products in the global bioeconomy—Enabling substitution by wood-based products and contributing to the Sustainable Development Goals (2022). https://doi.org/10.4060/cb7274enChen, J., Ter-Mikaelian, M. T., Ng, P. Q. & Colombo, S. J. Ontario’s managed forests and harvested wood products contribute to greenhouse gas mitigation from 2020 to 2100. For. Chron. 43, 269–282 (2018).
    Google Scholar 
    Howard, C., Dymond, C. C., Griess, V. C., Tolkien-Spurr, D. & van Kooten, G. C. Wood product carbon substitution benefits: A critical review of assumptions. Carbon Balance Manag. 16, 1–11 (2021).Article 

    Google Scholar 
    Eriksson, L. O. et al. Climate change mitigation through increased wood use in the European construction sector-towards an integrated modelling framework. Eur. J. For. Res. 131, 131–144 (2012).Article 

    Google Scholar 
    Pan, Y. et al. A large and persistent carbon sink in the world’s forests. Science (80-.) 333, 988–993 (2011).Article 
    ADS 
    CAS 

    Google Scholar 
    Chuine, I. Why does phenology drive species distribution?. Philos. Trans. R. Soc. B Biol. Sci. 365, 3149–3160 (2010).Article 

    Google Scholar 
    Silvestro, R. et al. From phenology to forest management: Ecotypes selection can avoid early or late frosts, but not both. For. Ecol. Manag. 436, 21–26 (2019).Article 

    Google Scholar 
    Buttò, V., Rossi, S., Deslauriers, A. & Morin, H. Is size an issue of time? Relationship between the duration of xylem development and cell traits. Ann. Bot. 123, 1257–1265 (2019).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Cartenì, F. et al. The physiological mechanisms behind the earlywood-to-latewood transition: A process-based modeling approach. Front. Plant Sci. 9, 1053 (2018).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Buttò, V., Rozenberg, P., Deslauriers, A., Rossi, S. & Morin, H. Environmental and developmental factors driving xylem anatomy and micro-density in black spruce. New Phytol. 230, 957–971 (2021).Article 
    PubMed 

    Google Scholar 
    Buttó, V. et al. Regionwide temporal gradients of carbon allocation allow for shoot growth and latewood formation in boreal black spruce. Glob. Ecol. Biogeogr. 30, 1657–1670 (2021).Article 

    Google Scholar 
    Rathgeber, C. B. K. et al. Anatomical, developmental and physiological bases of tree-ring formation in relation to environmental factors. In Stable Isotopes in Tree Rings Vol. 8 (eds Siegwolf, R. T. W. et al.) 61–99 (Springer, Cham, 2022).Chapter 

    Google Scholar 
    Dória, L. C., Sonsin-Oliveira, J., Rossi, S. & Marcati, C. R. Functional trade-offs in volume allocation to xylem cell types in 75 species from the Brazilian savanna Cerrado. Ann. Bot. 130, 445–456 (2022).Article 
    PubMed 

    Google Scholar 
    Rossi, S., Cairo, E., Krause, C. & Deslauriers, A. Growth and basic wood properties of black spruce along an alti-latitudinal gradient in Quebec, Canada. Ann. For. Sci. 72, 77–87 (2015).Article 

    Google Scholar 
    Shi, J. L., Riedl, B., Deng, J., Cloutier, A. & Zhang, S. Y. Impact of log position in the tree on mechanical and physical properties of black spruce medium-density fibreboard panels. Can. J. For. Res. 37, 866–873 (2007).Article 

    Google Scholar 
    Rathgeber, C. B. K., Decoux, V. & Leban, J. M. Linking intra-tree-ring wood density variations and tracheid anatomical characteristics in Douglas fir (Pseudotsuga menziesii (Mirb.) Franco). Ann. For. Sci. 63, 699–706 (2006).Article 

    Google Scholar 
    Cuny, H. E., Rathgeber, C. B. K., Frank, D., Fonti, P. & Fournier, M. Kinetics of tracheid development explain conifer tree-ring structure. New Phytol. 203, 1231–1241 (2014).Article 
    PubMed 

    Google Scholar 
    Wodzicki, T. J. & Zajaczkowski, S. Methodical problems in studies on seasonal production of cambial xylem derivatives. Acta Soc. Bot. Pol. 39, 519–520 (1970).
    Google Scholar 
    Silvestro, R. et al. Upscaling xylem phenology: Sample size matters. Ann. Bot. https://doi.org/10.1093/aob/mcac110 (2022).Article 
    PubMed 

    Google Scholar 
    Rossi, S., Girard, M. J. & Morin, H. Lengthening of the duration of xylogenesis engenders disproportionate increases in xylem production. Glob. Chang. Biol. 20, 2261–2271 (2014).Article 
    ADS 
    PubMed 

    Google Scholar 
    Gonsamo, A., Chen, J. M. & Ooi, Y. W. Peak season plant activity shift towards spring is reflected by increasing carbon uptake by extratropical ecosystems. Glob. Change Biol. 24, 2117–2128 (2018).Article 
    ADS 

    Google Scholar 
    Dow, C. et al. Warm springs alter timing but not total growth of temperate deciduous trees. Nature 608, 552–557 (2022).Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar 
    Oribe, Y., Funada, R. & Kubo, T. Relationships between cambial activity, cell differentiation and the localization of starch in storage tissues around the cambium in locally heated stems of Abies sachalinensis (Schmidt) Masters. Trees Struct. Funct. 17, 185–192 (2003).Article 

    Google Scholar 
    Schrader, J. et al. Polar auxin transport in the wood-forming tissues of hybrid aspen is under simultaneous control of developmental and environmental signals. Proc. Natl. Acad. Sci. USA 100, 10096–10101 (2003).Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Deslauriers, A., Huang, J. G., Balducci, L., Beaulieu, M. & Rossi, S. The contribution of carbon and water in modulating wood formation in black spruce saplings. Plant Physiol. 170, 2072–2084 (2016).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Silvestro, R., Brasseur, S., Klisz, M., Mencuccini, M. & Rossi, S. Bioclimatic distance and performance of apical shoot extension: Disentangling the role of growth rate and duration in ecotypic differentiation. For. Ecol. Manag. 477, 118483 (2020).Article 

    Google Scholar 
    Perrin, M., Rossi, S. & Isabel, N. Synchronisms between bud and cambium phenology in black spruce: Early-flushing provenances exhibit early xylem formation. Tree Physiol. 37, 593–603 (2017).Article 
    PubMed 

    Google Scholar 
    Begum, S., Nakaba, S., Yamagishi, Y., Oribe, Y. & Funada, R. Regulation of cambial activity in relation to environmental conditions: Understanding the role of temperature in wood formation of trees. Physiol. Plant. 147, 46–54 (2013).Article 
    CAS 
    PubMed 

    Google Scholar 
    Kagawa, A., Sugimoto, A. & Maximov, T. C. 13CO2 pulse-labelling of photoassimilates reveals carbon allocation within and between tree rings. Plant Cell Environ. 29, 1571–1584 (2006).Article 
    CAS 
    PubMed 

    Google Scholar 
    Hansen, J. & Beck, E. The fate and path of assimilation products in the stem of 8-year-old Scots pine (Pinus sylvestris L.) trees. Trees 4, 16–21 (1990).Article 

    Google Scholar 
    Fu, P. L., Grießinger, J., Gebrekirstos, A., Fan, Z. X. & Bräuning, A. Earlywood and latewood stable carbon and oxygen isotope variations in two pine species in Southwestern China during the recent decades. Front. Plant Sci. 7, 2050 (2017).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Anfodillo, T. et al. Widening of xylem conduits in a conifer tree depends on the longer time of cell expansion downwards along the stem. J. Exp. Bot. 63, 837–845 (2012).Article 
    CAS 
    PubMed 

    Google Scholar 
    Linares, J. C., Camarero, J. J. & Carreira, J. A. Plastic responses of Abies pinsapo xylogenesis to drought and competition. Tree Physiol. 29, 1525–1536 (2009).Article 
    PubMed 

    Google Scholar 
    Rossi, S., Morin, H. & Deslauriers, A. Causes and correlations in cambium phenology: Towards an integrated framework of xylogenesis. J. Exp. Bot. 63, 2117–2126 (2012).Article 
    CAS 
    PubMed 

    Google Scholar 
    Li, X. et al. Age dependence of xylogenesis and its climatic sensitivity in Smith fir on the south-eastern Tibetan Plateau. Tree Physiol. 33, 48–56 (2013).Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar 
    Rathgeber, C. B. K., Rossi, S. & Bontemps, J. D. Cambial activity related to tree size in a mature silver-fir plantation. Ann. Bot. 108, 429–438 (2011).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Buttò, V. et al. Comparing the cell dynamics of tree-ring formation observed in microcores and as predicted by the Vaganov-Shashkin model. Front. Plant Sci. 11, 1268 (2020).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Koga, S. & Zhang, S. Y. Relationships between wood density and annual growth rate components in balsam fir (Abies balsamea). Wood Fiber Sci. 34, 146–157 (2002).CAS 

    Google Scholar 
    Messier, C. et al. Functional ecology of advance regeneration in relation to light in boreal forests. Can. J. For. Res. 29, 812–823 (1999).Article 

    Google Scholar 
    Pothier, D., Elie, J. G., Auger, I., Mailly, D. & Gaudreault, M. Spruce budworm-caused mortality to balsam fir and black spruce in pure and mixed conifer stands. For. Sci. 58, 24–33 (2012).Article 

    Google Scholar 
    Paixao, C., Krause, C., Morin, H. & Achim, A. Wood quality of black spruce and balsam fir trees defoliated by spruce budworm: A case study in the boreal forest of Quebec, Canada. For. Ecol. Manag. 437, 201–210 (2019).Article 

    Google Scholar 
    Pretzsch, H., Biber, P., Schütze, G., Kemmerer, J. & Uhl, E. Wood density reduced while wood volume growth accelerated in Central European forests since 1870. For. Ecol. Manag. 429, 589–616 (2018).Article 

    Google Scholar 
    Reyer, C. et al. Projections of regional changes in forest net primary productivity for different tree species in Europe driven by climate change and carbon dioxide. Ann. For. Sci. 71, 211–225 (2014).Article 

    Google Scholar 
    Fang, J. et al. Evidence for environmentally enhanced forest growth. Proc. Natl. Acad. Sci. USA 111, 9527–9532 (2014).Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Pretzsch, H., Biber, P., Schütze, G., Uhl, E. & Rötzer, T. Forest stand growth dynamics in Central Europe have accelerated since 1870. Nat. Commun. 5, 1–10 (2014).Article 

    Google Scholar 
    Gao, S. et al. An earlier start of the thermal growing season enhances tree growth in cold humid areas but not in dry areas. Nat. Ecol. Evol. https://doi.org/10.1038/s41559-022-01668-4 (2022).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Soil Classification Working Group. The Canadian System of Soil Classification. (1998).Rossi, S., Anfodillo, T. & Menardi, R. Trephor: A new tool for sampling microcores from tree stems. IAWA J. 27, 89–97 (2006).Article 

    Google Scholar 
    Deslauriers, A., Morin, H. & Begin, Y. Cellular phenology of annual ring formation of Abies balsamea in the Quebec boreal forest (Canada). Can. J. For. Res. 33, 190–200 (2003).Article 

    Google Scholar 
    Rossi, S., Deslauriers, A. & Anfodillo, T. Assessment of cambial activity and xylogenesis by microsampling tree species: An example at the Alpine timberline. IAWA J. 27, 383–394 (2006).Article 

    Google Scholar 
    Filion, L. & Cournoyer, L. Variation in wood structure of eastern larch defoliated by the larch sawfly in subarctic Quebec, Canada. Can. J. For. Res. 25, 1263–1268 (1995).Article 

    Google Scholar 
    R Development Core Team. R: A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing. (2015). More

  • in

    Larval rockfish growth and survival in response to anomalous ocean conditions

    Bindoff, N. L. et al. Changing ocean, marine ecosystems, and dependent communities. in IPCC special report on the ocean and cryosphere in a changing climate (eds. Pörtner, H.-O. et al.) (2019).Johnson, G. C. & Lyman, J. M. Warming trends increasingly dominate global ocean. Nat. Clim. Chang. 10, 757–761 (2020).ADS 

    Google Scholar 
    Doney, S. C. et al. Climate change impacts on marine ecosystems. Ann. Rev. Mar. Sci. 4, 11–37 (2012).PubMed 

    Google Scholar 
    Pinsky, M. L. & Mantua, N. J. Emerging adaptation approaches for climate- ready fisheries management. Oceanography 27, 146–159 (2014).
    Google Scholar 
    Bailey, K. M. & Houde, E. D. Predation on eggs and larvae of marine fishes and the recruitment problem. Adv. Mar. Biol. 25, 1–83 (1989).
    Google Scholar 
    Houde, E. D. Comparative growth, mortality, and energetics of marine fish larvae: temperature and implied latitudinal effects. Fish. Bull. 87, 471–495 (1989).
    Google Scholar 
    Wang, H., Shen, S., Chen, Y.-S., Kiang, Y.-K. & Heino, M. Life histories determine divergent population trends for fishes under climate warming. Nat. Commun. 11, 1–9 (2020).
    Google Scholar 
    Llopiz, J. K. et al. Early life history and fisheries oceanography: New questions in a changing world. Oceanography 27, 26–41 (2014).
    Google Scholar 
    Lasker, R. Field criteria for survival of anchovy larvae: The relation between inshore chlorophyll maximum layers and successful first feeding. Fish. Bull. 73, 453–462 (1975).
    Google Scholar 
    Cury, P. & Roy, C. Optimal environmental window and pelagic fish recruitment success in upwelling areas. Can. J. Fish. Aquat. Sci. 46, 670–680 (1989).
    Google Scholar 
    Iles, T. D. & Sinclair, M. Atlantic herring: Stock discreteness and abundance. Science 215, 627–633 (1982).ADS 
    CAS 
    PubMed 

    Google Scholar 
    Houde, E. D. Fish early life dynamics and recruitment variability. Am. Fish. Soc. Symp. 2, 17–29 (1987).ADS 

    Google Scholar 
    Searcy, S. P. & Sponaugle, S. Selective mortality during the larval – juvenile transition in two coral reef fishes. Ecology 82, 2452–2470 (2001).
    Google Scholar 
    Shima, J. S. & Findlay, A. M. Pelagic larval growth rate impacts benthic settlement and survival of a temperate reef fish. Mar. Ecol. Prog. Ser. 235, 303–309 (2002).ADS 

    Google Scholar 
    Bakun, A. Global climate change and intensification of coastal ocean upwelling. Science 247(198), 201 (1990).ADS 

    Google Scholar 
    Snyder, M. A., Sloan, L., Diffenbaugh, N. & Bell, J. Future climate change and upwelling in the California Current. Geophys. Res. Lett. 30, 1823 (2003).ADS 

    Google Scholar 
    Bakun, A., Field, D. B., Redondo-Rodriguez, A. & Weeks, S. J. Greenhouse gas, upwelling-favorable winds, and the future of coastal ocean upwelling ecosystems. Glob. Chang. Biol. 16, 1213–1228 (2010).ADS 

    Google Scholar 
    Bakun, A. & Nelson, C. The seasonal cycle of wind-stress curl in subtropical eastern boundary current regions. J. Phys. Oceanogr. 21, 1815–1834 (1991).ADS 

    Google Scholar 
    Shanks, A. L. & Eckert, G. L. Population persistence of California Current fishes and benthic crustaceans: A marine drift paradox. Ecol. Monogr. 75, 505–524 (2005).
    Google Scholar 
    Cushing, D. H. Plankton production and year-class strength in fish populations: An update of the match/mismatch hypothesis. Adv. Mar. Biol. 26, 249–293 (1990).
    Google Scholar 
    Carr, M. H. Habitat selection and recruitment of an assemblage of temperate zone reef fishes. J. Exp. Mar. Bio. Ecol. 146, 113–137 (1991).
    Google Scholar 
    Asch, R. G. Climate change and decadal shifts in the phenology of larval fishes in the California Current ecosystem. Proc. Natl. Acad. Sci. U. S. A. 112, E4065–E4074 (2015).ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Auth, T. D., Daly, E. A., Brodeur, R. D. & Fisher, J. L. Phenological and distributional shifts in ichthyoplankton associated with recent warming in the northeast Pacific Ocean. Glob. Chang. Biol. 24, 259–272 (2018).ADS 
    PubMed 

    Google Scholar 
    Sydeman, W. J. et al. Climate change and wind intensification in coastal upwelling ecosystems. Science 345, 77–80 (2014).ADS 
    CAS 
    PubMed 

    Google Scholar 
    Bond, N. A., Cronin, M. F., Freeland, H. & Mantua, N. Causes and impacts of the 2014 warm anomaly in the NE Pacific. Geophys. Res. Lett. 42, 3414–3420 (2015).ADS 

    Google Scholar 
    Cavole, A. et al. Biological impacts of the 2013–2015 warm water anomaly in the Northeast Pacific: Winner, losers, and the future. Oceanography 29, 273–285 (2016).
    Google Scholar 
    Lenarz, W. H. A history of California rockfish fisheries. In Proceeding of the International Rockfish Symposium. Anchorage, Alaska, Univ. of Alaska (1987).Brodeur, R. D., Buchanan, J. C. & Emmett, R. L. Pelagic and demersal fish predators on juvenile and adult forage fishes in the northern California Current: Spatial and temporal variations. CalCOFI Rep. 55, 96–116 (2014).
    Google Scholar 
    Mills, K. L., Laidig, T., Ralston, S. & Sydeman, W. J. Diets of top predators indicate pelagic juvenile rockfish (Sebastes spp.) abundance in the California Current System. Fish. Oceanogr. 16, 273–283 (2007).
    Google Scholar 
    Santora, J. A., Schroeder, I. D., Field, J. C., Wells, B. K. & Sydeman, W. J. Spatio-temporal dynamics of ocean conditions and forage taxa reveal regional structuring of seabird-prey relationships. Ecol. Appl. 24, 1730–1747 (2014).PubMed 

    Google Scholar 
    McClatchie, S. et al. Food limitation of sea lion pups and the decline of forage off central and southern California. R. Soc. Open Sci. 3, 150628 (2016).ADS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Love, B. M. S., Yoklavich, M. & Thorsteinson, L. The Rockfishes of the Northeast Pacific (Univ of California Press, 2002).
    Google Scholar 
    Ralston, S. & Howard, D. F. On the development of year-class stength and cohort variability in two northern California rockfishes. Fish. Bull. 93, 710–720 (1995).
    Google Scholar 
    Wells, B. K. et al. Untangling the relationships among climate, prey, and top predators in an ocean ecosystem. Mar. Ecol. Prog. Ser. 364, 15–29 (2008).ADS 

    Google Scholar 
    Zabel, R. W., Levin, P. S., Tolimieri, N. & Mantua, N. J. Interactions between climate and population density in the episodic recruitment of bocaccio, Sebastes paucispinis, a Pacific rockfish. Fish. Oceanogr. 20, 294–304 (2011).
    Google Scholar 
    Peterson, W. T. et al. Applied fisheries oceanography: Ecosystem indicators of ocean conditions inform fisheries management in the California Current. Oceanography 27, 80–89 (2014).
    Google Scholar 
    Wheeler, S. G., Anderson, T. W., Bell, T. W., Morgan, S. G. & Hobbs, J. A. Regional productivity predicts individual growth and recruitment of rockfishes in a northern California upwelling system. Limnol. Oceanogr. 62, 754–767 (2016).ADS 

    Google Scholar 
    Ralston, S., Sakuma, K. M. & Field, J. C. Interannual variation in pelagic juvenile rockfish (Sebastes spp.) abundance – going with the flow. Fish. Oceanogr. 22, 288–308 (2013).
    Google Scholar 
    Schroeder, I. D. et al. Source water variability as a driver of rockfish recruitment in the california current ecosystem: Implications for climate change and fisheries management. Can. J. Fish. Aquat. Sci. 76, 950–960 (2019).CAS 

    Google Scholar 
    Ottmann, D., Grorud-Colvert, K., Huntington, B. & Sponaugle, S. Interannual and regional variability in settlement of groundfishes to protected and fished nearshore waters of Oregon, USA. Mar. Ecol. Prog. Ser. 598, 131–145 (2018).ADS 

    Google Scholar 
    Haggarty, D. R., Lotterhos, K. E. & Shurin, J. B. Young-of-the-year recruitment does not predict the abundance of older age classes in black rockfish in Barkley Sound, British Columbia. Canada. Mar. Ecol. Prog. Ser. 574, 113–126 (2017).ADS 

    Google Scholar 
    Checkley, D. M. & Barth, J. A. Patterns and processes in the California Current System. Prog. Oceanogr. 83, 49–64 (2009).ADS 

    Google Scholar 
    Jacox, M. G. et al. Forcing of multiyear extreme ocean temperatures that impacted California Current living marine resources in 2016. Bull. Am. Meteorol. Soc. 99, S27–S33 (2018).
    Google Scholar 
    Thompson, A. R. et al. Indicators of pelagic forage community shifts in the California Current Large Marine Ecosystem, 1998–2016. Ecol. Indic. 105, 215–228 (2019).
    Google Scholar 
    Du, X. & Peterson, W. T. Phytoplankton community structure in 2011–2013 compared to the extratropical warming event of 2014–2015. Geophys. Res. Lett. 45, 1534–1540 (2018).ADS 

    Google Scholar 
    Peterson, W. T. et al. The pelagic ecosystem in the Northern California Current off Oregon during the 2014–2016 warm anomalies within the context of the past 20 years. J. Geophys. Res. Ocean. 122, 7267–7290 (2017).ADS 

    Google Scholar 
    Brodeur, R. D., Auth, T. D. & Phillips, A. J. Major shifts in pelagic micronekton and macrozooplankton community structure in an upwelling ecosystem related to an unprecedented marine heatwave. Front. Mar. Sci. 6, 1–15 (2019).
    Google Scholar 
    Sutherland, K. R., Sorensen, H. L., Blondheim, O. N., Brodeur, R. D. & Galloway, A. W. E. Range expansion of tropical pyrosomes in the northeast Pacific Ocean. Ecology 99, 2397–2399 (2018).PubMed 

    Google Scholar 
    Brodeur, R. D., Hunsicker, M. E., Hann, A. & Miller, T. W. Effects of warming ocean conditions on feeding ecology of small pelagic fishes in a coastal upwelling ecosystem: A shift to gelatinous food sources. Mar. Ecol. Prog. Ser. 617–618, 149–163 (2019).ADS 

    Google Scholar 
    Bosley, K. L. et al. Feeding ecology of juvenile rockfishes off Oregon and Washington based on stomach content and stable isotope analyses. Mar. Biol. 161, 2381–2393 (2014).CAS 

    Google Scholar 
    Reilly, C. A., Echeverria, T. W. & Ralston, S. Interannual variation and overlap in the diets of pelagic juvenile rockfish (Genus: Sebastes) off central California. Fish. Bull. 90, 505–515 (1992).
    Google Scholar 
    Sumida, B. Y. & Moser, H. G. Food and feeding of bocaccio (Sebastes paucispinis) and comparison with Pacific hake (Merluccius productus) larvae in the California Current. Calif. Coop. Ocean. Fish. Investig. Reports 25, 112–118 (1984).
    Google Scholar 
    Auth, T. D., Brodeur, R. D., Soulen, H. L., Ciannelli, L. & Peterson, W. T. The response of fish larvae to decadal changes in environmental forcing factors off the Oregon coast. Fish. Oceanogr. 20, 314–328 (2011).
    Google Scholar 
    Frölicher, T. L. & Laufkötter, C. Emerging risks from marine heat waves. Nat. Commun. 9, 1–4 (2018).
    Google Scholar 
    Campana, S. E. Year-class strength and growth rate in young Atlantic cod Gadus morhua. Mar. Ecol. Prog. Ser. 135, 21–26 (1996).ADS 

    Google Scholar 
    Brander, K. Effects of environmental variability on growth and recruitment in cod (Gadus morhua) using a comparative approach. Oceanol. Acta 23, 485–496 (2000).
    Google Scholar 
    Sponaugle, S., Grorud-Colvert, K. & Pinkard, D. Temperature-mediated variation in early life history traits and recruitment success of the coral reef fish Thalassoma bifasciatum in the Florida Keys. Mar. Ecol. Prog. Ser. 308, 1–15 (2006).ADS 

    Google Scholar 
    Grorud-Colvert, K. & Sponaugle, S. Variability in water temperature affects trait-mediated survival of a newly settled coral reef fish. Oecologia 165, 675–686 (2011).ADS 
    PubMed 

    Google Scholar 
    Boehlert, G. W. & Yoklavich, M. M. Effects of temperature, ration, and fish size on the growth of juvenile black rockfish, Sebastes melanops. Environ. Biol. Fishes 8, 17–28 (1983).
    Google Scholar 
    Chin, B., Nakagawa, M. & Yamashita, Y. Effects of feeding and temperature on survival and growth of larval black rockfish Sebastes schlegeli in rearing conditions. Aquac. Sci. 55, 619–627 (2007).
    Google Scholar 
    Woodbury, D. & Ralston, S. Interannual variation in growth rates and back-calculated birthdate distributions of pelagic juvenile rockfishes (Sebastes spp.) off the central California coast. Fish. Bull. 89, 523–533 (1991).
    Google Scholar 
    Fennie, H., Sponaugle, S., Daly, E. & Brodeur, R. Prey tell: what quillback rockfish early life history traits reveal about their survival in encounters with juvenile coho salmon. Mar. Ecol. Prog. Ser. 650, 7–18 (2020).ADS 

    Google Scholar 
    Laidig, T. E., Chess, J. R. & Howard, D. F. Relationship between abundance of juvenile rockfishes (Sebastes spp.) and environmental variables documented off northern California and potential mechanisms for the covariation. Fish. Bull. 105, 39–48 (2007).
    Google Scholar 
    Robert, D., Castonguay, M. & Fortier, L. Early growth and recruitment in Atlantic mackerel Scomber scombrus: discriminating the effects of fast growth and selection for fast growth. Mar. Ecol. Prog. Ser. 337, 209–219 (2007).ADS 

    Google Scholar 
    Hare, J. A. & Cowen, R. K. Size, growth, development, and survival of the planktonic larvae of Pomatomus saltatrix (Pisces: Pomatomidae). Ecology 78, 2415–2431 (1997).
    Google Scholar 
    Takasuka, A., Aoki, I. & Mitani, I. Evidence of growth-selective predation on larval Japanese anchovy Engraulis japonicus in Sagami Bay. Mar. Ecol. Prog. Ser. 252, 223–238 (2003).ADS 

    Google Scholar 
    Anderson, J. T. A review of size dependent survival during pre-recruit stages of fishes in relation to recruitment. J. Northwest Atl. Fish. Sci. 8, 55–66 (1988).
    Google Scholar 
    Miller, T., Crowder, L. B., Rice, J. A. & Marschall, E. A. Larval size and recruitment mechanisms in fishes: toward a conceptual framework. Can. J. Fish. Aquat. Sci. 45, 1657–1670 (1988).
    Google Scholar 
    Chambers, R. C. & Leggett, W. C. Size and age at metamorphosis in marine fishes: analysis of laboratory-reared winter flounder (Pseudopieuronectes americanus) with a review of variation in other species. Can. J. Fish. Aquat. Sci. 44, 1936–1947 (1987).
    Google Scholar 
    Kashef, N., Sogard, S., Fisher, R. & Largier, J. Ontogeny of critical swimming speeds for larval and pelagic juvenile rockfishes (Sebastes spp., family Scorpaenidae). Mar. Ecol. Prog. Ser. 500, 231–243 (2014).ADS 

    Google Scholar 
    Paradis, A. R., Pepin, P. & Brown, J. A. Vulnerability of fish eggs and larvae to predation: review of the influence of the relative size of prey and predator. Can. J. Fish. Aquat. Sci. 53, 1226–1235 (1996).
    Google Scholar 
    Purcell, J. E. Predation on fish larvae and eggs by the hydromedusa Aequorea victoria at a herring spawning ground in British Columbia. Can. J. Fish. Aquat. Sci. 46, 1415–1427 (1989).
    Google Scholar 
    McLeod, I. M. & Clark, T. D. Limited capacity for faster digestion in larval coral reef fish at an elevated temperature. PLoS ONE 11, 1–13 (2016).
    Google Scholar 
    Takahashi, M., Checkley, D. M., Litz, M. N. C., Brodeur, R. D. & Peterson, W. T. Responses in growth rate of larval northern anchovy (Engraulis mordax) to anomalous upwelling in the northern California Current. Fish. Oceanogr. 21, 393–404 (2012).
    Google Scholar 
    Team, R. C. R: A language and environment for statistical computing. (2013).Brady, R. X., Alexander, M. A., Lovenduski, N. S. & Rykaczewski, R. R. Emergent anthropogenic trends in California Current upwelling. Geophys. Res. Lett. 44, 5044–5052 (2017).ADS 

    Google Scholar 
    Peterson, W. T. & Keister, J. E. Interannual variability in copepod community composition at a coastal station in the northern California Current: A multivariate approach. Deep Res. Part II Top. Stud. Oceanogr. 50, 2499–2517 (2003).ADS 

    Google Scholar 
    Ammann, A. J. SMURFs: Standard monitoring units for the recruitment of temperate reef fishes. J. Exp. Mar. Bio. Ecol. 299, 135–154 (2004).
    Google Scholar 
    Anderson, T. W. & Carr, M. H. BINCKE: A highly efficient net for collecting reef fishes. Environ. Biol. Fishes 51, 111–115 (1998).
    Google Scholar 
    Kilkenny, C., Browne, W., Cuthill, I. C., Emerson, M. & Altman, D. G. Animal research: Reporting in vivo experiments: The ARRIVE guidelines. Br. J. Pharmacol. 160, 1577–1579 (2010).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Laidig, T. E. & Adams, P. B. Methods used to identify pelagic juvenile rockfish (Genus Sebastes) occuring along the coast of central California. NOAA Technical Memorandum NMFS (1991).Di Lorenzo, E. & Mantua, N. Multi-year persistence of the 2014/15 North Pacific marine heatwave. Nat. Clim. Chang. 6, 1042–1047 (2016).ADS 

    Google Scholar 
    Yoklavich, M. M. & Boehlert, G. W. Daily growth increments in otoliths of juvenile black rockfish, Sebastes melanops: An evaluation of autoradiography as a new method of validation. Fish. Bull. 85, 826–832 (1987).
    Google Scholar 
    Miller, J. A. & Shanks, A. L. Evidence for limited larval dispersal in black rockfish (Sebastes melanops): Implications for population structure and marine-reserve design. Can. J. Fish. Aquat. Sci. 61, 1723–1735 (2004).
    Google Scholar 
    Sponaugle, S. Daily otolith increments in the early stages of tropical fish. In Tropical Fish Otoliths: Information for Assessment, Management and Ecology (eds Green, B. et al.) 93–132 (Springer, 2009).
    Google Scholar 
    Laidig, T., Ralston, S. & Bence, J. R. Dynamics of growth in the early life history of shortbelly rockfish Sebastes jordani. Fish. Bull. 89, 611–621 (1991).
    Google Scholar 
    Thorrold, S. R. & Hare, J. A. Otolith applications in reef fish ecology. In Coral Reef Fishes: Dynamics and Diversity in a Complex Ecosystem (ed. Sale, P. F.) 243–264 (Academic Press, 2002).
    Google Scholar 
    Field, J. C., MacCall, A. D., Ralston, S., Love, M. S. & Miller, E. F. Bocaccionomics: The effectiveness of pre-recruit indices for assessment and management of bocaccio. Calif. Coop. Ocean. Fish. Investig. Reports 51, 77–90 (2010).
    Google Scholar 
    Carrascal, L. M., Galván, I. & Gordo, O. Partial least squares regression as an alternative to current regression methods used in ecology. Oikos 118, 681–690 (2009).
    Google Scholar  More

  • in

    Interannual variability in early life phenology is driven by climate and oceanic processes in two NE Atlantic flatfishes

    Cheung, W. W. L. et al. Shrinking of fishes exacerbates impacts of global ocean changes on marine ecosystems. Nat. Clim. Change 3, 1–5 (2012).
    Google Scholar 
    Pilotto, F. et al. Meta-analysis of multidecadal biodiversity trends in Europe. Nat. Commun. 11, 3486 (2010).Article 
    ADS 

    Google Scholar 
    Ong, J. J. L. et al. Contrasting environmental drivers of adult and Juvenile growth in a marine fish: Implications for the effects of climate change. Sci. Rep. 5, 10859 (2015).Article 
    ADS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Rijnsdorp, A. D., Peck, M. A., Engelhard, G. H., Moellmann, C. & Pinnegar, J. K. Resolving the effect of climate change on fish populations. ICES J. Mar. Sci. 66(7), 1570–1583 (2009).Article 

    Google Scholar 
    Pankhurst, N. W. & Munday, P. L. Effects of climate change on fish reproduction and early life history stages. Mar. Freshw. Res. 62(9), 1015 (2011).Article 
    CAS 

    Google Scholar 
    Ainsworth, C. H. et al. Potential impacts of climate change on Northeast Pacific marine foodwebs and fisheries. ICES J. Mar. Sci. 68, 1217–1229 (2011).Article 

    Google Scholar 
    Morrongiello, J. R., Horn, P. L., Ó Maolagáin, C. & Sutton, P. J. H. Synergistic effects of harvest and climate drive synchronous somatic growth within key New Zealand fisheries. Glob. Change Biol. 27(7), 1470–1484 (2021).Article 
    ADS 
    CAS 

    Google Scholar 
    Ottersen, G., Hjermann, D. O. & Stensenth, N. C. Changes in spawning stocks structure strengthen the link between climate and recruitment in a heavily fished cod (Gadus morhua) stock. Fish. Oceanogr. 15(3), 230–243 (2006).Article 

    Google Scholar 
    Cheung, W. W. L. & Oyinlola, M. A. Vulnerability of flatfish and their fisheries to climate change. J. Sea Res. 140, 1–10 (2018).Article 
    ADS 

    Google Scholar 
    Fedewa, E. J., Miller, J. A. & Hurst, T. P. Pre-settlement process of northern rock sole (Lepidopsetta polyxystra) in relation to interannual variability in the Gulf of Alaska. J. Sea Res. 111, 25–36 (2016).Article 
    ADS 

    Google Scholar 
    Cabral, H. N. et al. Relative importance of estuarine flatfish nurseries along the Portuguese coast. J. Sea Res. 57, 209–217 (2007).Article 
    ADS 

    Google Scholar 
    Martinho, F., van der Veer, H. W., Cabral, H. N. & Pardal, M. A. Juvenile nursery colonization patterns for the European flounder (Platichthys flesus): A latitudinal approach. J. Sea Res. 84, 61–69 (2013).Article 
    ADS 

    Google Scholar 
    Primo, A. L. et al. Contrasting links between growth and survival in the early life stages of two flatfish species. Estuar. Coast. Shelf Sci. 254, 107314 (2021).Article 

    Google Scholar 
    Vaz, A., Scarcella, G., Pardal, M. A. & Martinho, F. Water temperature gradients drive early life-history patterns of the common sole (Solea solea L.) in the Northeast Atlantic and Mediterranean. Aquat. Ecol. 53(5) (2019).Geffen, A., van der Veer, H. W. & Nash, R. The cost of metamorphosis in flatfishes. J. Sea Res. 58(1), 35–45 (2007).Article 
    ADS 

    Google Scholar 
    Cowen, R. K., Lwiza, K. M. M., Sponaugle, S., Paris, C. B. & Olson, D. B. Connectivity in marine populations: Open or closed?. Science 287, 857–859 (2000).Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar 
    Gillanders, B. M., Black, B. A., Meekan, M. G. & Morrison, M. A. Climatic effects on the growth of a temperate reef fish from the Southern Hemisphere: a biochronological approach. Mar. Biol. 159, 1327–1333 (2012).Article 

    Google Scholar 
    Treml, E. A., Ford, J. R., Black, K. P. & Swearer, S. E. Identifying the key biophysical drivers, connectivity outcomes, and metapopulation consequences of larval dispersal in the sea. Mov. Ecol. 3(1), 345 (2015).Article 

    Google Scholar 
    Gibson, R. N. Behaviour and the distribution of flatfishes. J. Sea Res. 37(1997), 241–256 (1997).Article 
    ADS 

    Google Scholar 
    Mellado-Cano, J., Barriopedro, D., García-Herrera, R., Trigo, R. M. & Hernández, A. Examining the North Atlantic Oscillation, East Atlantic Pattern, and jet variability since 1685. J. Clim. 32, 6285–6298 (2019).Article 
    ADS 

    Google Scholar 
    Tanner, S. E. et al. Marine regime shifts impact synchrony of deep-sea fish growth in the northeast Atlantic. Oikos 129(12), 1781–1794 (2020).Article 

    Google Scholar 
    Trigo, R. M., Osborn, T. J. & Corte-Real, J. M. The North Atlantic Oscillation influence on Europe: Climate impacts and associated physical mechanisms. Clim. Res. 20, 9–17 (2002).Article 

    Google Scholar 
    Leis, J. M. et al. Does fish larval dispersal differ between high and low latitudes?. Proc. R. Soc. B Biol. Sci. 280(1759), 20130327 (2013).Article 

    Google Scholar 
    Raventos, N., Torrado, H., Arthur, R., Alcoverro, T. & Macpherson, E. Temperature reduces fish dispersal as larvae grow faster to their settlement size. J. Anim. Ecol. 90(6), 1419–1432 (2021).Article 
    PubMed 

    Google Scholar 
    Santos, A. M. P. et al. Physical-biological interactions in the life history of small Pelagic Fish in the Western Iberia upwelling ecosystem. Prog. Oceanogr. 74(2), 192–209 (2007).Article 
    ADS 

    Google Scholar 
    Le Pape, O. & Bonhommeau, S. The food limitation hypothesis for juvenile marine fish. Fish Fish. 16(3), 373–398 (2015).Article 

    Google Scholar 
    Fox, C. et al. Birth-date selection in early life stage of plaice Pleuronectes platessa in the eastern Irish Sea (British Isles). Mar. Ecol. Prog. Ser. 345, 255–269 (2007).Article 
    ADS 

    Google Scholar 
    Joh, M. & Wada, A. Inter-annual and spatial difference in hatch date and settlement date distribution and planktonic larval duration in yellow striped flounder Pseudopleuronectes Herzensteini. J. Sea Res. 137, 26–34 (2018).Article 
    ADS 

    Google Scholar 
    Pinto, M. et al. Influence of oceanic and climate conditions on the early life history of European seabass Dicentrarchus labrax. Mar. Environ. Res. 169, 105362 (2021).Article 
    CAS 
    PubMed 

    Google Scholar 
    Morais, P., Dias, E., Babaluk, J. & Antunes, C. The migration patterns of the European flounder Platichthys flesus (Linnaeus, 1758) (Pleuronectidae, Pisces) at the southern limit of its distribution range: Ecological implications and fishery management. J. Sea Res. 65, 235–246 (2011).Article 
    ADS 

    Google Scholar 
    Lacroix, G., Maes, G. E., Bolle, L. J. & Volckaert, F. Modelling dispersal dynamics of the early life stages of a marine flatfish (Solea Solea L.). J. Sea Res. 84(C), 13–25 (2013).Article 
    ADS 

    Google Scholar 
    Tanner, S. E., Teles-Machado, A., Martinho, F., Peliz, A. & Cabral, H. N. Modelling larval dispersal Dynamics of common sole (Solea solea) along the western Iberian coast. Prog. Oceanogr. 156, 78–90 (2017).Article 
    ADS 

    Google Scholar 
    Amorim, E., Ramos, S., Elliott, M. & Bordalo, A. A. Immigration and early life stages recruitment of the European flounder (Platichthys flesus) to an estuarine nursery: The influence of environmental factors. J. Sea Res. 107(Part 1), 56–66 (2016).Article 
    ADS 

    Google Scholar 
    Vasconcelos, R. P., Reis-Santos, P., Costa, M. J. & Cabral, H. N. Connectivity between estuaries and marine environment: Integrating metrics to assess estuarine nursery function. Ecol. Indic. 11(5), 1123–1133 (2011).Article 

    Google Scholar 
    Orio, A. et al. Spatial contraction of demersal fish populations in a large marine ecosystem. J. Biogeogr. 46(3), 633–645 (2019).Article 

    Google Scholar 
    Peliz, A., Rosa, T. L., Santos, A. M. P. & Pissarra, J. L. Fronts, jets, and counter-flows in the Western Iberian upwelling system. J. Mar. Syst. 35, 61–77 (2002).Article 

    Google Scholar 
    Teles-Machado, A., Peliz, A., McWilliams, J. C., Dubert, J. & Le Cann, B. Circulation on the Northwestern Iberian Margin: Swoddies. Prog. Oceanogr 140, 116–133 (2016).Article 
    ADS 

    Google Scholar 
    Primo, A. L. et al. Colonization and nursery habitat use patterns of larval and juvenile flatfish species in a small temperate estuary. J. Sea. Res. 76(C), 126–134 (2013).Article 
    ADS 

    Google Scholar 
    Vasconcelos, R. P. et al. Evidence of estuarine nursery origin of five coastal fish species along the Portuguese coast through otolith elemental fingerprints. Estuar. Coast. Shelf Sci. 79, 317–327 (2008).Article 
    ADS 

    Google Scholar 
    du Sert, N. P. et al. The ARRIVAGE guidelines 2.0: updated guidelines for reporting animal research. J. Physiol. Lond. 598(18), 3793–3801 (2020).Article 

    Google Scholar 
    Trigo, R. M. et al. The impact of north atlantic wind and cyclone trends on European precipitation and significant wave height in the Atlantic. Ann. N. Y. Acad. Sci. 1146(1), 212–234 (2008).Article 
    ADS 
    PubMed 

    Google Scholar 
    Murase, H., Nagashima, H., Yonezaki, S., Matsukura, R. & Kitakado, T. Application of a generalized additive model (GAM) to reveal relationships between environmental factors and distributions of Pelagic Fish and Krill: a Case Study in Senday Bay, Japan. ICES J. Mar. Sci. 66(6), 1417–1424 (2009).Article 

    Google Scholar 
    Wood, S. N. Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models. J. R. Stat. Soc. Ser. B Stat. Methodol. 73(1), 3–36 (2011).Article 
    MathSciNet 
    MATH 

    Google Scholar 
    Tanner, S. E. et al. Regional climate, primary productivity and fish biomass drive growth cariation and population resilience in a small pelagic fish. Ecol. Indic. 103, 530–541 (2019).Article 

    Google Scholar 
    Almeida, J. R., Gravato, C. & Guilermino, L. Effects of temperature in juvenile Seabass (Dicentrarchus labrax L.) biomarker responses and behaviour: implications for environmental monitoring. Estuaries Coasts 38, 45–55 (2015).Article 
    CAS 

    Google Scholar 
    Sims, D. W., Wearmouth, V. J., Genner, M. J., Southward, A. J. & Hawkins, S. J. Low-temperature-driven early spawning migration of a temperate marine fish. J. Anim. Ecol. 73(2), 333–341 (2004).Article 

    Google Scholar 
    Faria, A. M., Muha, T., Morote, R. & Chicharro, M. A. Influence of starvation on the critical swimming behaviour of the Senegalensis sole (Solea senegalensis) and its relationship with RNA/DNA ratios during ontogeny. Sci. Mar. 75(1), 87–94 (2011).Article 
    CAS 

    Google Scholar 
    Downie, A. T., Illing, B., Faria, A. M. & Rummer, J. L. Swimming performance of marine fish larvae: review of a universal trait under ecological and environmental pressure. Rev. Fish Biol. Fish. 30, 93–108 (2020).Article 

    Google Scholar 
    Durant, J. M. et al. Contrasting effects of rising temperatures on trophic interactions in marine ecosystems. Na. Sci. Rep. 9(1), 15213 (2019).Article 
    ADS 

    Google Scholar 
    Stenseth, N. C. et al. Ecological effects of climate fluctuations. Science 297(5585), 1292–1296 (2002).Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar 
    Harrington, A. M., Clark, K. F. & Hamlin, H. J. Expected ocean warming conditions significantly alter the transcriptone of developing postlarval American lobsters (Homarus americanus): Implications for energetic trade-offs. Comp. Biochem. Physiol. D Genom. Proteom. 36, 100716 (2020).CAS 

    Google Scholar 
    Pörtner, H. O. & Farrell, A. P. Ecology. Physiol. Clim. Change. Sci. 322(5902), 690–692 (2008).
    Google Scholar 
    Drinkwater, K. F. et al. On the processes linking climate to ecosystem changes. J. Mar. Syst. 79, 374–388 (2010).Article 

    Google Scholar 
    Alix, M., Kjesbu, O. S. & Anderson, K. C. From Gametogenesis to spawning: How climate-driven warming affects teleost reproductive biology. J. Fish Biol. 97(3), 607–632 (2020).Article 
    PubMed 

    Google Scholar 
    Conover, D. O. & Present, T. M. C. Countergradient variation in growth rate: compensation for length of the growing season among Atlantic silversides from different latitudes. Oceanologia 83, 316–324 (1990).ADS 

    Google Scholar 
    van de Wolfshaar, K. E., Barbut, L. & Lacroix, G. From spawning to first-year recruitment: the fate of Juvenile Sole Growth and survival under future climate conditions in the North Sea. ICES J. Mar. Sci. (2021).Cabral, H. et al. Contrasting impacts of climate change on connectivity and larval recruitment to estuarine nursery areas. Prog. Oceanogr. 196, 102608 (2011).Article 

    Google Scholar 
    Iglesias, I., Lorenzo, M. N. & Taboada, J. J. Seasonal predictability of the East Atlantic Pattern from sea surface temperatures. PLoS ONE 9(1), 86439–86448 (2014).Article 
    ADS 

    Google Scholar 
    Rodríguez-Puebla, C., Encinas, A. H., García-Casado, L. A. & Nieto, S. Trends in warm days and cold nights over the Iberian Peninsula: relationships to large-scale variables. Clim. Change 100(3), 667–684 (2010).Article 
    ADS 

    Google Scholar 
    Hurrell, J. W. & Van Loon, H. Decadal variations in climate associated with the North Atlantic oscillation. Clim. Change 36, 301–326 (1997).Article 

    Google Scholar 
    Henderson, P. A. & Seaby, R. M. The role of climate in determining the temporal variation in abundance, recruitment and growth of sole Solea solea in the Bristol Channel. JMBA 85, 197–204 (2005).
    Google Scholar 
    Rodwell, M. J., Rowell, D. P. & Folland, C. K. Oceanic forcing of the wintertime North Atlantic Oscillation and European Climate. Letters to Nature 398, 320–323 (1999).Article 
    ADS 
    CAS 

    Google Scholar 
    Hurrell, J. W. Decadal trends in the North Atlantic oscillation: Regional temperatures and precipitation. Sci. 269, 676–679 (1995).Article 
    ADS 
    CAS 

    Google Scholar 
    Avalos, M. R. et al. Comparing the foraging strategies of a seabird predator when recovering from drastic climatic event. Mar. Biol. 164, 48 (2017).Article 

    Google Scholar 
    Wang, C., Liu, H. & Lee, S. K. The record-breaking cold temperatures during the winter of 2009/2010 in the Northern Hemisphere. Atmos. Sci. Lett. 11(3), 161–168 (2010).Article 
    ADS 
    CAS 

    Google Scholar 
    Rodrigo, F. S. Exploring combined influences of Seasonal East Atlantic (EA) and North Atlantic Oscillation (NAO) on the temperature-precipitation relationship in the Iberian Peninsula. Geosciences 11(5), 211 (2021).Article 
    ADS 

    Google Scholar 
    Alvarez, I., Gommez-Gesteira, M., Decastro, M. & Dias, J. M. Spatiotemporal evolution of upwelling regime along the western coast of the Iberian Peninsula. J. Geophys. Res. Oceans 113(C7), C07020 (2008).Article 
    ADS 

    Google Scholar 
    Demarcq, H. Trends in primary production, Sea surface temperature and wind in upwelling systems (1998–2007). Prog. Oceanogr. 83(1), 376–385 (2009).Article 
    ADS 

    Google Scholar 
    Thorrold, S. R., Latkoczy, C., Swart, P. K. & Jones, C. M. Natal homing in a marine fish metapopulation. Science 291, 297–299 (2001).Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar  More

  • in

    Mock community as an in situ positive control for amplicon sequencing of microbiotas from the same ecosystem

    Proctor, L. Priorities for the next 10 years of human microbiome research. Nature 569(7758), 623–625 (2019).Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar 
    Bahl, M. I., Bergström, A. & Licht, T. R. Freezing fecal samples prior to DNA extraction affects the Firmicutes to Bacteroidetes ratio determined by downstream quantitative PCR analysis. FEMS Microbiol. Lett. 329, 193–197 (2012).Article 
    CAS 
    PubMed 

    Google Scholar 
    Wu, X. et al. Metagenomic insights into nitrogen and phosphorus cycling at the soil aggregate scale driven by organic material amendments. Sci. Total Environ. 785, 147329 (2021).Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar 
    Singh, B. K., Millard, P., Whiteley, A. S. & Murrell, J. C. Unravelling rhizosphere-microbial interactions: Opportunities and limitations. Trends Microbiol. 12, 386–393 (2004).Article 
    CAS 
    PubMed 

    Google Scholar 
    Methé, B. A. et al. A framework for human microbiome research. Nature 486, 215–221 (2012).Article 
    ADS 
    PubMed Central 

    Google Scholar 
    Pascoe, E. L., Hauffe, H. C., Marchesi, J. R. & Perkins, S. E. Network analysis of gut microbiota literature: An overview of the research landscape in non-human animal studies. ISME J. 11, 2644–2651 (2017).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Gilbert, J. A., Jansson, J. K. & Knight, R. Earth microbiome project and global systems biology. mSystems 3, e00217-17 (2018).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Trivedi, P., Leach, J. E., Tringe, S. G., Sa, T. & Singh, B. K. Plant–microbiome interactions: from community assembly to plant health. Nat. Rev. Microbiol. 18(11), 607–621 (2020).Article 
    CAS 
    PubMed 

    Google Scholar 
    Lloyd-Price, J. et al. Multi-omics of the gut microbial ecosystem in inflammatory bowel diseases. Nature 569(7758), 655–662 (2019).Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Chen, T. et al. A plant genetic network for preventing dysbiosis in the phyllosphere. Nature 580(7805), 653–657 (2020).Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Holman, D. B. & Gzyl, K. E. A meta-analysis of the bovine gastrointestinal tract microbiota. FEMS Microbiol. Ecol. 95, 72 (2019).Article 

    Google Scholar 
    Chen, L. et al. Plant growth–promoting bacteria improve maize growth through reshaping the rhizobacterial community in low-nitrogen and low-phosphorus soil. Biol. Fertil. Soils 57, 1075–1088. https://doi.org/10.1007/S00374-021-01598-6 (2021).Article 
    CAS 

    Google Scholar 
    Sommer, F. et al. The gut microbiota modulates energy metabolism in the hibernating brown bear Ursus arctos. Cell Rep. 14, 1655–1661 (2016).Article 
    CAS 
    PubMed 

    Google Scholar 
    Hauffe, H. C. & Barelli, C. Conserve the germs: The gut microbiota and adaptive potential. Conserv. Genet. 20(1), 19–27 (2019).Article 

    Google Scholar 
    Pollock, J., Glendinning, L., Wisedchanwet, T. & Watson, M. The madness of microbiome: Attempting to find consensus ‘best practice’ for 16S microbiome studies. Appl. Environ. Microbiol. 84(7), e02627-17 (2018).Article 
    ADS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Thompson, L. R. et al. A communal catalogue reveals Earth’s multiscale microbial diversity. Nature 551(7681), 457–463 (2017).Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Costea, P. I. et al. Towards standards for human fecal sample processing in metagenomic studies. Nat. Biotechnol. 35, 1069–1076 (2017).Article 
    CAS 
    PubMed 

    Google Scholar 
    Gloor, G. B., Macklaim, J. M., Pawlowsky-Glahn, V. & Egozcue, J. J. Microbiome datasets are compositional: And this is not optional. Front. Microbiol. 8, 2224 (2017).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Tourlousse, D. M. et al. Synthetic spike-in standards for high-throughput 16S rRNA gene Amplicon sequencing. Nucleic Acids Res. 45, e23–e23 (2017).PubMed 

    Google Scholar 
    Thissen, J. B. et al. Axiom Microbiome Array, the next generation microarray for high-throughput pathogen and microbiome analysis. PLoS ONE 14, e0212045 (2019).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Ducarmon, Q. R., Hornung, B. V. H., Geelen, A. R., Kuijper, E. J. & Zwittink, R. D. Toward standards in clinical microbiota studies: Comparison of three DNA extraction methods and two bioinformatic pipelines. mSystems 5, e00547-19 (2020).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Ray, T. et al. The microbiome of common bedding materials before and after use on commercial dairy farms. Anim. Microbiome 4(1), 1–21 (2022).Article 
    MathSciNet 
    CAS 

    Google Scholar 
    Akhremchuk, K. V. et al. Gut microbiome of healthy people and patients with hematological malignancies in Belarus. Microbiol. Indep. Res. J. (MIR J.) 9, 18–30 (2022).Article 

    Google Scholar 
    Smets, W. et al. A method for simultaneous measurement of soil bacterial abundances and community composition via 16S rRNA gene sequencing. Soil Biol. Biochem. 96, 145–151 (2016).Article 
    CAS 

    Google Scholar 
    Palmer, J. M., Jusino, M. A., Banik, M. T. & Lindner, D. L. Non-biological synthetic spike-in controls and the AMPtk software pipeline improve mycobiome data. PeerJ 6, e4925 (2018).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Alteio, L. V. et al. A critical perspective on interpreting amplicon sequencing data in soil ecological research. Soil Biol. Biochem. 160, 108357 (2021).Article 
    CAS 

    Google Scholar 
    Stämmler, F. et al. Adjusting microbiome profiles for differences in microbial load by spike-in bacteria. Microbiome 4, 1–13 (2016).Article 

    Google Scholar 
    Risely, A., Wilhelm, K., Clutton-Brock, T., Manser, M. B. & Sommer, S. Diurnal oscillations in gut bacterial load and composition eclipse seasonal and lifetime dynamics in wild meerkats. Nat. Commun. 12(1), 1–12 (2021).Article 

    Google Scholar 
    Risely, A., et al. Gut microbiota repeatability is contingent on temporal scale and age in wild meerkats. ecoevorxiv (2022). https://doi.org/10.32942/OSF.IO/DSQFRSzóstak, N. et al. The standardisation of the approach to metagenomic human gut analysis: From sample collection to microbiome profiling. Sci. Rep. 12(1), 1–21 (2022).Article 

    Google Scholar 
    Tourlousse, D. M. et al. Synthetic spike-in standards for high-throughput 16S rRNA gene amplicon sequencing. Nucleic Acids Res. 45, e23 (2017).PubMed 

    Google Scholar 
    Sheu, S. Y., Arun, A. B., Jiang, S. R., Young, C. C. & Chen, W. M. Allobacillus halotolerans gen. nov., sp. Nov. isolated from shrimp paste. Int. J. Syst. Evol. Microbiol. 61, 1023–1027 (2011).Article 
    CAS 
    PubMed 

    Google Scholar 
    Surendra, V., Bhawana, P., Suresh, K., Srinivas, T. N. R. & Anil Kumar, P. Imtechella halotolerans gen. nov., sp. nov., a member of the family Flavobacteriaceae isolated from estuarine water. Int. J. Syst. Evol. Microbiol. 62, 2624–2630 (2012).Article 
    CAS 
    PubMed 

    Google Scholar 
    Praeg, N. et al. The role of land management and elevation in shaping soil microbial communities: Insights from the Central European Alps. Soil Biol. Biochem. 150, 107951 (2020).Article 
    CAS 

    Google Scholar 
    Albonico, F. et al. Raw milk and fecal microbiota of commercial Alpine dairy cows varies with herd, fat content and diet. PLoS ONE 15, e0237262 (2020).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Watson, S. E. et al. Global change-driven use of onshore habitat impacts polar bear faecal microbiota. ISME J. https://doi.org/10.1038/s41396-019-0480-2 (2019).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Huebner, K. L. et al. Effects of a Saccharomyces cerevisiae fermentation product on liver abscesses, fecal microbiome, and resistome in feedlot cattle raised without antibiotics. Sci. Rep. 9(1), 1–11 (2019).Article 

    Google Scholar 
    Fan, P. et al. Host genetic effects upon the early gut microbiota in a bovine model with graduated spectrum of genetic variation. ISME J. 14(1), 302–317 (2019).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Mtshali, K., Khumalo, Z. T. H., Kwenda, S., Arshad, I. & Thekisoe, O. M. M. Exploration and comparison of bacterial communities present in bovine faeces, milk and blood using 16S rRNA metagenomic sequencing. PLoS ONE 17, e0273799 (2022).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Johnson, J. S. et al. Evaluation of 16S rRNA gene sequencing for species and strain-level microbiome analysis. Nat. Commun. 10(1), 5029 (2019).Article 
    ADS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Pei, A. Y. et al. Diversity of 16S rRNA genes within individual prokaryotic genomes. Appl. Environ. Microbiol. 76, 3886 (2010).Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Stoler, N. & Nekrutenko, A. Sequencing error profiles of Illumina sequencing instruments. NAR Genomics Bioinforma. 3, lqab019 (2021).Article 

    Google Scholar 
    Schirmer, M. et al. Insight into biases and sequencing errors for amplicon sequencing with the Illumina MiSeq platform. Nucleic Acids Res. 43, e37–e37 (2015).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    McLaren, M. R., Willis, A. D. & Callahan, B. J. Consistent and correctable bias in metagenomic sequencing experiments. Elife 8, e46923 (2019).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Gonzalez, J. M., Portillo, M. C., Belda-Ferre, P. & Mira, A. Amplification by PCR artificially reduces the proportion of the rare biosphere in microbial communities. PLoS ONE 7, e29973 (2012).Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Gilbert, J. A., Jansson, J. K. & Knight, R. The earth microbiome project: Successes and aspirations. BMC Biol. 12, 1–4 (2014).Article 

    Google Scholar 
    Caporaso, J. G. et al. Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample. Proc. Natl. Acad. Sci. U.S.A. 108, 4516–4522 (2011).Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar 
    Caporaso, J. G. et al. Moving pictures of the human microbiome. Genome Biol. 12, 1–8 (2011).Article 

    Google Scholar 
    McDonald, D. et al. American gut: An open platform for citizen science microbiome research. mSystems 3, e00031-18 (2018).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Illumina. IMPORTANT NOTICE This document provides information for an application for 16S Metagenomic Sequencing Library Preparation Preparing 16S Ribosomal RNA Gene Amplicons for the Illumina MiSeq System.Teng, F. et al. Impact of DNA extraction method and targeted 16S-rRNA hypervariable region on oral microbiota profiling. Sci. Rep. 8(1), 1–12 (2018).Article 
    ADS 

    Google Scholar 
    Willis, C., Desai, D. & Laroche, J. Influence of 16S rRNA variable region on perceived diversity of marine microbial communities of the Northern North Atlantic. FEMS Microbiol. Lett. 366, fnz152 (2019).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Chen, Z. et al. Impact of preservation method and 16S rRNA hypervariable region on gut microbiota profiling. mSystems 4, e00271-18 (2019).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Sanada, T. J. et al. Gut microbiota modification suppresses the development of pulmonary arterial hypertension in an SU5416/hypoxia rat model. Pulm. Circ. 10(3), 1–3. https://doi.org/10.1177/2045894020929147 (2020).Article 
    MathSciNet 
    CAS 

    Google Scholar 
    Praeg, N., Schwinghammer, L. & Illmer, P. Larix decidua and additional light affect the methane balance of forest soil and the abundance of methanogenic and methanotrophic microorganisms. FEMS Microbiol. Lett. 366, 259 (2019).Article 

    Google Scholar 
    Vandeputte, D. et al. Quantitative microbiome profiling links gut community variation to microbial load. Nature 551(7681), 507–511 (2017).Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar 
    Sanders, H. L. Marine benthic diversity: A comparative study. Am. Nat. 102, 243–282. https://doi.org/10.1086/282541 (2015).Article 

    Google Scholar 
    Aitchison, J. The statistical analysis of compositional data. J. R. Stat. Soc. Ser. B 44, 139–160 (1982).MathSciNet 
    MATH 

    Google Scholar 
    Stanaway, I. B. et al. Human oral buccal microbiomes are associated with farmworker status and azinphos-methyl agricultural pesticide exposure. Appl. Environ. Microbiol. 83, e02149-16 (2017).Article 
    PubMed 

    Google Scholar 
    Grice, E. A. et al. A diversity profile of the human skin microbiota. Genome Res. 18, 1043–1050 (2008).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Payne, M. A. et al. Horizontal and vertical transfer of oral microbial dysbiosis and periodontal disease. J. Dent. Res. 98, 1503–1510 (2019).Article 
    CAS 
    PubMed 

    Google Scholar 
    Karasov, T. L. et al. The relationship between microbial population size and disease in the Arabidopsis thaliana phyllosphere. bioRxiv https://doi.org/10.1101/828814 (2020).Article 

    Google Scholar 
    Caporaso, J. G. et al. Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms. ISME J. 6(8), 1621–1624 (2012).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Apprill, A., McNally, S., Parsons, R. & Weber, L. Minor revision to V4 region SSU rRNA 806R gene primer greatly increases detection of SAR11 bacterioplankton. Aquat. Microb. Ecol. 75, 129–137 (2015).Article 

    Google Scholar 
    Albanese, D., Fontana, P., De Filippo, C., Cavalieri, D. & Donati, C. MICCA: A complete and accurate software for taxonomic profiling of metagenomic data. Sci. Rep. 5(1), 1–7 (2015).Article 

    Google Scholar 
    Edgar, R. C. UNOISE2: improved error-correction for Illumina 16S and ITS amplicon sequencing. bioRxiv https://doi.org/10.1101/081257 (2016).Article 

    Google Scholar 
    Team, R. C. R: A Language and Environment for Statistical Computing. (2019).Bates, D., Mächler, M., Bolker, B. M. & Walker, S. C. Fitting linear mixed-effects models using lme4. J. Stat. Softw. 67, 1–48 (2015).Article 

    Google Scholar 
    De Mendiburu, F. Agricolae: statistical procedures for agricultural research. R package version, 1(1). https://scholar.google.com/scholar?hl=it&as_sdt=0%2C5&q=Agricolae%3A+Statistical+Procedures+for+Agricultural+Research&btnG (2014).Mortazavi, A., Williams, B. A., McCue, K., Schaeffer, L. & Wold, B. Mapping and quantifying mammalian transcriptomes by RNA-Seq. Nat. Methods 5(7), 621–628 (2008).Article 
    CAS 
    PubMed 

    Google Scholar 
    Metsalu, T. & Vilo, J. ClustVis: A web tool for visualizing clustering of multivariate data using Principal Component Analysis and heatmap. Nucleic Acids Res. 43, W566–W570 (2015).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Gloor, G. B. & Reid, G. Compositional analysis: A valid approach to analyze microbiome high-throughput sequencing data. Can. J. Microbiol. https://doi.org/10.1139/cjm-2015-082162,692-703 (2016).Article 
    PubMed 

    Google Scholar 
    McMurdie, P. J. & Holmes, S. phyloseq: An R package for reproducible interactive analysis and graphics of microbiome census data. PLoS ONE 8, e61217 (2013).Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Oksanen, J., Blanchet, F. G., Friendly, M., Kindt, R., Legendre, P., McGlinn, D., Minchin, P. R., O’Hara, R. B., Simpson, G. L., Solymos, P., Stevens M. H. H., Szöcs, E. & Wagner, H. vegan: Community Ecology Package. R package version 2.5-7. 2020 (2022).Wickham H (2016). ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag, New York. More

  • in

    Pan-Arctic marine biodiversity and species co-occurrence patterns under recent climate

    Randelhoff, A. et al. Pan-Arctic ocean primary production constrained by turbulent nitrate fluxes. Front. Mar. Sci. https://doi.org/10.3389/fmars.2020.00150 (2020).Article 

    Google Scholar 
    Wegner, C. et al. Variability in transport of terrigenous material on the shelves and the deep Arctic Ocean during the Holocene. Polar Res. https://doi.org/10.3402/polar.v%v.24964 (2015).Article 

    Google Scholar 
    Arrigo, K. R. & van Dijken, G. L. Continued increases in Arctic Ocean primary production. Prog. Oceanogr. 136, 60–70. https://doi.org/10.1016/j.pocean.2015.05.002 (2015).Article 
    ADS 

    Google Scholar 
    Lewis, K. M., van Dijken, G. L. & Arrigo, K. R. Changes in phytoplankton concentration now drive increased Arctic Ocean primary production. Science 369, 198–202. https://doi.org/10.1126/science.aay8380 (2020).Article 
    CAS 
    PubMed 

    Google Scholar 
    Mueter, F. J. et al. Possible future scenarios in the gateways to the Arctic for Subarctic and Arctic marine systems: II. Prey resources, food webs, fish, and fisheries. ICES J. Mar. Sci. 78, 3017–3045. https://doi.org/10.1093/icesjms/fsab122 (2021).Article 

    Google Scholar 
    Alabia, I. D. et al. Multiple facets of marine biodiversity in the Pacific Arctic under future climate. Sci. Total Environ. 744, 140913. https://doi.org/10.1016/j.scitotenv.2020.140913 (2020).Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar 
    CAFF. Arctic Biodiversity Assessment. Status and trends in Arctic biodiversity. (Conservation of Arctic Flora and Fauna, Akureyri, Iceland, 2013).Stafford, K. M., Farley, E. V., Ferguson, M., Kuletz, K. J. & Levine, R. Northward range expansion of subarctic upper trophic level animals into the Pacific Arctic Region. Oceanography. 35, 158–166. https://doi.org/10.5670/oceanog.2022.101 (2022).Csapó, H. K., Grabowski, M. & Węsławski, J. M. Coming home—Boreal ecosystem claims Atlantic sector of the Arctic. Sci. Total Environ. 771, 144817. https://doi.org/10.1016/j.scitotenv.2020.144817 (2021).Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar 
    Frainer, A. et al. Climate-driven changes in functional biogeography of Arctic marine fish communities. Proc. Natl. Acad. Sci. 114, 12202–12207. https://doi.org/10.1073/pnas.1706080114 (2017).Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Gordó-Vilaseca, C., Stephenson, F., Coll, M., Lavin, C. & Costello, M. J. Three decades of increasing fish biodiversity across the northeast Atlantic and the Arctic Ocean. Proc. Natl. Acad. Sci. 120, e2120869120. https://doi.org/10.1073/pnas.2120869120 (2023).Article 
    CAS 
    PubMed 

    Google Scholar 
    Kalenitchenko, D., Joli, N., Potvin, M., Tremblay, J. -É. & Lovejoy, C. Biodiversity and species change in the arctic ocean: A view through the lens of nares strait. Front. Mar. Sci. https://doi.org/10.3389/fmars.2019.00479 (2019).Article 

    Google Scholar 
    Michel, C. et al. Arctic Ocean outflow shelves in the changing Arctic: A review and perspectives. Prog. Oceanogr. 139, 66–88. https://doi.org/10.1016/j.pocean.2015.08.007 (2015).Article 
    ADS 

    Google Scholar 
    Ribeiro, S. et al. Vulnerability of the North Water ecosystem to climate change. Nat. Commun. 12, 4475. https://doi.org/10.1038/s41467-021-24742-0 (2021).Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Poisot, T., Stouffer, D. B. & Gravel, D. Beyond species: Why ecological interaction networks vary through space and time. Oikos 124, 243–251. https://doi.org/10.1111/oik.01719 (2015).Article 

    Google Scholar 
    Ratzke, C., Barrere, J. & Gore, J. Strength of species interactions determines biodiversity and stability in microbial communities. Nat. Ecol. Evolut. 4, 376–383. https://doi.org/10.1038/s41559-020-1099-4 (2020).Article 

    Google Scholar 
    Blanchet, F. G., Cazelles, K. & Gravel, D. Co-occurrence is not evidence of ecological interactions. Ecol. Lett. 23, 1050–1063. https://doi.org/10.1111/ele.13525 (2020).Article 
    PubMed 

    Google Scholar 
    Michael, E. L. Marine ecology and the coefficient of association: A plea in behalf of quantitative biology. J. Ecol. 8, 54–59. https://doi.org/10.2307/2255213 (1920).Article 

    Google Scholar 
    Gotelli, N. J., Graves, G. R. & Rahbek, C. Macroecological signals of species interactions in the Danish avifauna. Proc. Natl. Acad. Sci. 107, 5030–5035. https://doi.org/10.1073/pnas.0914089107 (2010).Article 
    ADS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Gotelli, N. J. & McCabe, D. J. Species co-occurrence: A meta-analysis of J. M. Diamond’s assembly rules model. Ecology 83, 2091–2096. https://doi.org/10.1890/0012-9658(2002)083[2091:SCOAMA]2.0.CO;2 (2002).Article 

    Google Scholar 
    Ulrich, W. Species co-occurrences and neutral models: Reassessing J. M. Diamond’s Assembly Rules. Oikos 107, 603–609 (2004).Article 

    Google Scholar 
    Kraan, C., Thrush, S. F. & Dormann, C. F. Co-occurrence patterns and the large-scale spatial structure of benthic communities in seagrass meadows and bare sand. BMC Ecol. 20, 37. https://doi.org/10.1186/s12898-020-00308-4 (2020).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Tulloch, A. I. T., Chadès, I. & Lindenmayer, D. B. Species co-occurrence analysis predicts management outcomes for multiple threats. Nat. Ecol. Evolut. 2, 465–474. https://doi.org/10.1038/s41559-017-0457-3 (2018).Article 

    Google Scholar 
    Drinkwater, K. F. et al. Possible future scenarios for two major Arctic Gateways connecting Subarctic and Arctic marine systems: I. Climate and physical–chemical oceanography. ICES J. Mar. Sci. 78, 3046–3065. https://doi.org/10.1093/icesjms/fsab182 (2021).Article 

    Google Scholar 
    Pilfold, N. W., McCall, A., Derocher, A. E., Lunn, N. J. & Richardson, E. Migratory response of polar bears to sea ice loss: To swim or not to swim. Ecography 40, 189–199. https://doi.org/10.1111/ecog.02109 (2017).Article 

    Google Scholar 
    Chambault, P. et al. The impact of rising sea temperatures on an Arctic top predator, the narwhal. Sci. Rep. 10, 18678. https://doi.org/10.1038/s41598-020-75658-6 (2020).Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Perovich, D. et al. Arctic Report Card 2020: Sea Ice. https://doi.org/10.25923/n170-9h57 (2020).Post, E. et al. Ecological dynamics across the arctic associated with recent climate change. Science 325, 1355–1358. https://doi.org/10.1126/science.1173113 (2009).Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar 
    Post, E. et al. Ecological consequences of sea-ice decline. Science 341, 519–524. https://doi.org/10.1126/science.1235225 (2013).Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar 
    Bienhold, C. et al. Effects of sea ice retreat and ocean warming on the Laptev Sea continental slope ecosystem (1993 vs 2012). Front. Mar. Sci. https://doi.org/10.3389/fmars.2022.1004959 (2022).Article 

    Google Scholar 
    Olafsdottir, A. H. et al. Geographical expansion of Northeast Atlantic mackerel (Scomber scombrus) in the Nordic Seas from 2007 to 2016 was primarily driven by stock size and constrained by low temperatures. Deep Sea Res. Part II 159, 152–168. https://doi.org/10.1016/j.dsr2.2018.05.023 (2019).Article 

    Google Scholar 
    MacKenzie, B. R., Payne, M. R., Boje, J., Høyer, J. L. & Siegstad, H. A cascade of warming impacts brings bluefin tuna to Greenland waters. Glob. Change Biol. 20, 2484–2491. https://doi.org/10.1111/gcb.12597 (2014).Article 
    ADS 

    Google Scholar 
    Alabia, I. D. et al. Distribution shifts of marine taxa in the Pacific Arctic under contemporary climate changes. Divers. Distrib. 24, 1583–1597. https://doi.org/10.1111/ddi.12788 (2018).Article 

    Google Scholar 
    Stewart, D. B. & Barber, D. G. in A Little Less Arctic: Top Predators in the World’s Largest Northern Inland Sea, Hudson Bay (eds Steven H. Ferguson, Lisa L. Loseto, & Mark L. Mallory) 1–38 (Springer Netherlands, 2010).Ferland, J., Gosselin, M. & Starr, M. Environmental control of summer primary production in the Hudson Bay system: The role of stratification. J. Mar. Syst. 88, 385–400. https://doi.org/10.1016/j.jmarsys.2011.03.015 (2011).Article 

    Google Scholar 
    Peacock, E., Derocher, A. E., Lunn, N. J. & Obbard, M. E. in A Little Less Arctic: Top Predators in the World’s Largest Northern Inland Sea, Hudson Bay (eds Steven H. Ferguson, Lisa L. Loseto, & Mark L. Mallory) 93–116 (Springer Netherlands, 2010).Chambellant, M. in A Little Less Arctic: Top Predators in the World’s Largest Northern Inland Sea, Hudson Bay (eds Steven H. Ferguson, Lisa L. Loseto, & Mark L. Mallory) 137–158 (Springer Netherlands, 2010).Mallory, M. L., Gaston, A. J., Gilchrist, H. G., Robertson, G. J. & Braune, B. M. in A Little Less Arctic: Top Predators in the World’s Largest Northern Inland Sea, Hudson Bay (eds Steven H. Ferguson, Lisa L. Loseto, & Mark L. Mallory) 179–195 (Springer Netherlands, 2010).Lone, K., Hamilton, C. D., Aars, J., Lydersen, C. & Kovacs, K. M. Summer habitat selection by ringed seals (Pusa hispida) in the drifting sea ice of the northern Barents Sea. Polar Res. https://doi.org/10.33265/polar.v38.3483 (2019).Article 

    Google Scholar 
    Jackson, R. et al. Holocene polynya dynamics and their interaction with oceanic heat transport in northernmost Baffin Bay. Sci. Rep. 11, 10095. https://doi.org/10.1038/s41598-021-88517-9 (2021).Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Stafford, K. M. et al. Beluga whales in the western Beaufort Sea: Current state of knowledge on timing, distribution, habitat use and environmental drivers. Deep Sea Res. Part II 152, 182–194. https://doi.org/10.1016/j.dsr2.2016.11.017 (2018).Article 

    Google Scholar 
    Kuletz, K. J. et al. Seasonal spatial patterns in seabird and marine mammal distribution in the eastern Chukchi and western Beaufort seas: Identifying biologically important pelagic areas. Prog. Oceanogr. 136, 175–200. https://doi.org/10.1016/j.pocean.2015.05.012 (2015).Article 
    ADS 

    Google Scholar 
    Polyakov, I. V. et al. Borealization of the Arctic Ocean in response to anomalous advection from sub-arctic seas. Front. Mar. Sci. https://doi.org/10.3389/fmars.2020.00491 (2020).Article 

    Google Scholar 
    Fossheim, M. et al. Recent warming leads to a rapid borealization of fish communities in the Arctic. Nat. Clim. Change 5, 673–677. https://doi.org/10.1038/nclimate2647 (2015).Article 
    ADS 

    Google Scholar 
    Ardyna, M. et al. Recent Arctic Ocean sea ice loss triggers novel fall phytoplankton blooms. Geophys. Res. Lett. 41, 6207–6212. https://doi.org/10.1002/2014GL061047 (2014).Article 
    ADS 

    Google Scholar 
    Randelhoff, A. & Sundfjord, A. Short commentary on marine productivity at Arctic shelf breaks: Upwelling, advection and vertical mixing. Ocean Sci. 14, 293–300. https://doi.org/10.5194/os-14-293-2018 (2018).Article 
    ADS 

    Google Scholar 
    Bluhm, B. A. et al. The Pan-Arctic continental slope: sharp gradients of physical processes affect pelagic and benthic ecosystems. Front. Mar. Sci. https://doi.org/10.3389/fmars.2020.544386 (2020).Article 

    Google Scholar 
    Daase, M., Berge, J., Søreide, J. E. & Falk-Petersen, S. in Arctic Ecology (ed David N. Thomas) Ch. 9, 219–259 (Wiley, 2021).McGill, B. J., Enquist, B. J., Weiher, E. & Westoby, M. Rebuilding community ecology from functional traits. Trends Ecol. Evol. 21, 178–185. https://doi.org/10.1016/j.tree.2006.02.002 (2006).Article 
    PubMed 

    Google Scholar 
    Young, K. A. Asymmetric competition, habitat selection, and niche overlap in Juvenile Salmonids. Ecology 85, 134–149 (2004).Article 

    Google Scholar 
    Aguilera, M. A., Valdivia, N., Broitman, B. R., Jenkins, S. R. & Navarrete, S. A. Novel co-occurrence of functionally redundant consumers induced by range expansion alters community structure. Ecology 101, e03150. https://doi.org/10.1002/ecy.3150 (2020).Article 
    PubMed 

    Google Scholar 
    Usinowicz, J. & Levine, J. M. Species persistence under climate change: A geographical scale coexistence problem. Ecol. Lett. 21, 1589–1603. https://doi.org/10.1111/ele.13108 (2018).Article 
    PubMed 

    Google Scholar 
    Durant, J. M. et al. Contrasting effects of rising temperatures on trophic interactions in marine ecosystems. Sci. Rep. 9, 15213. https://doi.org/10.1038/s41598-019-51607-w (2019).Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    García-Baquero, G. & Crujeiras, R. M. Can environmental constraints determine random patterns of plant species co-occurrence?. Ecol. Evol. 5, 1088–1099. https://doi.org/10.1002/ece3.1349 (2015).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Bar-Massada, A. Complex relationships between species niches and environmental heterogeneity affect species co-occurrence patterns in modelled and real communities. Proc. R. Soc. B Biol. Sci. 282, 20150927. https://doi.org/10.1098/rspb.2015.0927 (2015).Article 

    Google Scholar 
    Overland, J. E., Wang, M., Walsh, J. E. & Stroeve, J. C. Future Arctic climate changes: Adaptation and mitigation time scales. Earth’s Future 2, 68–74. https://doi.org/10.1002/2013EF000162 (2014).Article 
    ADS 

    Google Scholar 
    Hirawake, T. et al. Response and biodiversity of Arctic ecosystems to environmental change: Findings from the ArCS project. Polar Sci. https://doi.org/10.1016/j.polar.2020.100533 (2020).Article 

    Google Scholar 
    Solan, M., Archambault, P., Renaud, P. E. & März, C. The changing Arctic Ocean: Consequences for biological communities, biogeochemical processes and ecosystem functioning. Philos. Trans. R. Soc. A Math. Phys. Eng. Sci. 378, 20200266. https://doi.org/10.1098/rsta.2020.0266 (2020).Article 
    ADS 

    Google Scholar 
    Timmermans, M.-L. & Marshall, J. Understanding Arctic Ocean circulation: A review of ocean dynamics in a changing climate. J. Geophys. Res. Oceans. 125, e2018JC014378. https://doi.org/10.1029/2018JC014378 (2020).Article 
    ADS 

    Google Scholar 
    Reynolds, R. W. et al. Daily high-resolution-blended analyses for sea surface temperature. J. Clim. 20, 5473–5496. https://doi.org/10.1175/2007JCLI1824.1 (2007).Article 
    ADS 

    Google Scholar 
    Amante, C. & Eakins, B. W. ETOPO1 1 Arc-Minute Global Relief Model: Procedures, Data Sources and Analysis. NOAA Technical Memorandum NESDIS NGDC-24. National Geophysical Data Center, NOAA. https://doi.org/10.7289/V5C8276M (2009).Lehodey, P., Murtugudde, R. & Senina, I. Bridging the gap from ocean models to population dynamics of large marine predators: A model of mid-trophic functional groups. Prog. Oceanogr. 84, 69–84. https://doi.org/10.1016/j.pocean.2009.09.008 (2010).Article 
    ADS 

    Google Scholar 
    Green, D. B. et al. Modelled mid-trophic pelagic prey fields improve understanding of marine predator foraging behaviour. Ecography 43, 1014–1026. https://doi.org/10.1111/ecog.04939 (2020).Article 

    Google Scholar 
    Pérez-Jorge, S. et al. Environmental drivers of large-scale movements of baleen whales in the mid-North Atlantic Ocean. Divers. Distrib. 26, 683–698. https://doi.org/10.1111/ddi.13038 (2020).Article 

    Google Scholar 
    Aiello-Lammens, M. E., Boria, R. A., Radosavljevic, A., Vilela, B. & Anderson, R. P. spThin: An R package for spatial thinning of species occurrence records for use in ecological niche models. Ecography 38, 541–545. https://doi.org/10.1111/ecog.01132 (2015).Article 

    Google Scholar 
    Barbet-Massin, M., Jiguet, F., Albert, C. H. & Thuiller, W. Selecting pseudo-absences for species distribution models: How, where and how many?. Methods Ecol. Evol. 3, 327–338. https://doi.org/10.1111/j.2041-210X.2011.00172.x (2012).Article 

    Google Scholar 
    Thuiller, W., Georges D., Gueguen, M., Engler, R., & Breiner, F. biomod2: Ensemble Platform for species Distribution Modeling. R package version 3.5.1. http://CRAN.R-project.org/package=biomod2 (2021). Accessed on 15 January 2022.
    Baselga, A. & Orme, C. D. L. betapart: An R package for the study of beta diversity. Methods Ecol. Evol. 3, 808–812. https://doi.org/10.1111/j.2041-210X.2012.00224.x (2012).Article 

    Google Scholar 
    Griffith, D. M., Veech, J. A. & Marsh, C. J. cooccur: Probabilistic species co-occurrence analysis in R. J. Stat. Softw. Code Snippets 69, 1–17. https://doi.org/10.18637/jss.v069.c02 (2016).Article 

    Google Scholar 
    Veech, J. A. A probabilistic model for analysing species co-occurrence. Glob. Ecol. Biogeogr. 22, 252–260. https://doi.org/10.1111/j.1466-8238.2012.00789.x (2013).Article 

    Google Scholar 
    Abdi, A. M. et al. First assessment of the plant phenology index (PPI) for estimating gross primary productivity in African semi-arid ecosystems. Int. J. Appl. Earth Obs. Geoinf. 78, 249–260. https://doi.org/10.1016/j.jag.2019.01.018 (2019).Article 
    ADS 

    Google Scholar 
    Ban, S. S., Alidina, H. M., Okey, T. A., Gregg, R. M. & Ban, N. C. Identifying potential marine climate change Refugia: A case study in Canada’s Pacific marine ecosystems. Glob. Ecol. Conserv. 8, 41–54. https://doi.org/10.1016/j.gecco.2016.07.004 (2016).Article 

    Google Scholar 
    Alabia, I. D. et al. Marine biodiversity Refugia in a climate-sensitive subarctic shelf. Glob. Change Biol. 27, 3299–3311. https://doi.org/10.1111/gcb.15632 (2021).Article 

    Google Scholar 
    Alabia, I. D., Saitoh, S.-I., Igarashi, H., Ishikawa, Y. & Imamura, Y. Spatial habitat shifts of oceanic cephalopod (Ommastrephes bartramii) in oscillating climate. Remote Sensing. https://doi.org/10.3390/rs12030521 (2020).Article 

    Google Scholar  More