More stories

  • in

    Building a living shoreline to help combat climate change

    I’m a conservation land manager at the Port of San Diego in California. My team and I aim to manage the tidelands around San Diego Bay, an area of more than 4,850 hectares, three-quarters of which is covered by water at high tide. At least 60% of the bay’s shoreline is ‘hardened’ — that is, it is edged with either a solid seawall or rip rap, piles of artificial boulders.To prevent erosion of the adjacent natural shoreline and restore wetlands, we’re participating in the San Diego Bay Native Oyster Living Shoreline project. As part of that, in December 2021, we placed 360 reef balls — depicted in this photograph from September this year — along 260 metres of shoreline to form the foundation of a native-oyster reef in the south bay. Here, I’m looking for oysters that have settled and are growing on the spheres.The reef balls are made out of ‘baycrete’, a concrete mixture made with local sand and the shells of farmed oysters. These attract wild oysters, which come to live there. We’re targeting the native Olympia oysters (Ostrea lurida), which can filter up to 190 litres of water per day. And sediment should accumulate behind the reef balls, encouraging the growth of eelgrass (Zostera marina). The grass is the foundation of the bay’s food chain.In a couple of years, native oysters will cover the reef balls, forming an artificial reef offshore. This reef will cause storm waves to break farther from the shoreline, protecting the adjacent salt marsh. Just inland from this area is a wetlands habitat refuge for the endangered California least tern (Sternula antillarum browni), and many birds are already hopping onto the reef balls and eating what’s living there.Living shorelines are an important part of sequestering carbon to combat climate change — both eelgrass and oysters store a lot of carbon. The reef balls are win–win–win. I often joke that we’re trying to save the planet one acre (0.4 hectares) at a time. More

  • in

    Thermal physiology integrated species distribution model predicts profound habitat fragmentation for estuarine fish with ocean warming

    Reygondeau, G. & Beaugrand, G. Future climate-driven shifts in distribution of Calanus finmarchicus. Glob. Change Biol. 17, 756–766 (2011).Article 
    ADS 

    Google Scholar 
    Grieve, B. D., Hare, J. A. & Saba, V. S. Projecting the effects of climate change on Calanus finmarchicus distribution within the U.S. Northeast Continental Shelf. Sci. Rep. 7, 6264 (2017).Article 
    ADS 

    Google Scholar 
    Bosso, L. et al. The rise and fall of an alien: Why the successful colonizer Littorina saxatilis failed to invade the Mediterranean Sea. Biol. Invasions 24, 3169–3187 (2022).Article 

    Google Scholar 
    Guisan, A. & Zimmermann, N. E. Predictive habitat distribution models in ecology. Ecol. Model. 135, 147–186 (2000).Article 

    Google Scholar 
    Guisan, A. & Thuiller, W. Predicting species distribution: offering more than simple habitat models. Ecol. Lett. 8, 993–1009 (2005).Article 

    Google Scholar 
    Kaschner, K., Watson, R., Trites, A. W. & Pauly, D. Mapping world-wide distributions of marine mammal species using a relative environmental suitability (RES) model. Mar. Ecol. Prog. Ser. 316, 285–310 (2006).Article 
    ADS 

    Google Scholar 
    Pearson, R. G. & Dawson, T. P. Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful?. Glob. Ecol. Biogeogr. 12, 361–371 (2003).Article 

    Google Scholar 
    Buckley, L. B. Linking traits to energetics and population dynamics to predict lizard ranges in changing environments. Am. Nat. 171, E1–E19 (2008).Article 

    Google Scholar 
    Kolbe, J. J., Kearney, M. & Shine, R. Modeling the consequences of thermal trait variation for the cane toad invasion of Australia. Ecol. Appl. 20, 2273–2285 (2010).Article 

    Google Scholar 
    Sanford, E. & Kelly, M. W. Local adaptation in marine invertebrates. Ann. Rev. Mar. Sci. 3, 509–535 (2011).Article 

    Google Scholar 
    Somero, G. N., Lockwood, B. L. & Tomanek, L. Biochemical Adaptation: Response to Environmental Challenges, From Life’s Origins to the Anthropocene (Sinauer Associates, 2017).
    Google Scholar 
    Kuo, E. S. & Sanford, E. Geographic variation in the upper thermal limits of an intertidal snail: Implications for climate envelope models. Mar. Ecol. Prog. Ser. 388, 137–146 (2009).Article 
    ADS 

    Google Scholar 
    Smeraldo, S. et al. Ignoring seasonal changes in the ecological niche of non-migratory species may lead to biases in potential distribution models: lessons from bats. Biodivers. Conserv. 27, 2425–2441 (2018).Article 

    Google Scholar 
    Gamliel, I. et al. Incorporating physiology into species distribution models moderates the projected impact of warming on selected Mediterranean marine species. Ecography 43, 1090–1106 (2020).Article 

    Google Scholar 
    Kearney, M. R., Wintle, B. A. & Porter, W. P. Correlative and mechanistic models of species distribution provide congruent forecasts under climate change. Conserv. Lett. 3, 203–213 (2010).Article 

    Google Scholar 
    Buckley, L. B., Waaser, S. A., MacLean, H. J. & Fox, R. Does including physiology improve species distribution model predictions of responses to recent climate change?. Ecology 92, 2214–2221 (2011).Article 

    Google Scholar 
    Fry, F. E. J. Effects of the environment on animal activity. Pub. Ontario Fish. Lab. No. 68. Toronto Studies Biol. Ser. 55, 1–52 (1947).
    Google Scholar 
    Brett, J. R. Energetic responses of salmon to temperature. A study of some thermal relations in the physiology and freshwater ecology of sockeye salmon (Oncorhynchus nerkd). Am Zoologist 11, 99–113 (1971).Article 

    Google Scholar 
    Pörtner, H. O. & Knust, R. Climate change affects marine fishes through the oxygen limitation of thermal tolerance. Science 315, 95–97 (2007).Article 
    ADS 

    Google Scholar 
    Pörtner, H. O. & Farrell, A. P. Physiology and climate change. Science 322, 690–692 (2008).Article 

    Google Scholar 
    Eliason, E. J. et al. Differences in thermal tolerance among sockeye salmon populations. Science 332, 109–112 (2011).Article 
    ADS 
    CAS 

    Google Scholar 
    Donelson, J. M., Munday, P. L., McCormick, M. I. & Pitcher, C. R. Rapid transgenerational acclimation of a tropical reef fish to climate change. Nat. Clim. Change 2, 30–32 (2012).Article 
    ADS 

    Google Scholar 
    Pörtner, H. Climate change and temperature-dependent biogeography: Oxygen limitation of thermal tolerance in animals. Naturwissenschaften 88, 137–146 (2001).Article 
    ADS 

    Google Scholar 
    Pörtner, H.-O. Oxygen-and capacity-limitation of thermal tolerance: A matrix for integrating climate-related stressor effects in marine ecosystems. J. Exp. Biol. 213, 881–893 (2010).Article 

    Google Scholar 
    Clark, T. D., Sandblom, E. & Jutfelt, F. Response to Farrell and to Pörtner and Giomi. J. Exp. Biol. 216, 4495–4497 (2013).Article 

    Google Scholar 
    Farrell, A. P. Aerobic scope and its optimum temperature: Clarifying their usefulness and limitations: Correspondence on J. Exp. Biol. 216, 2771–2782. J. Exp. Biol. 216, 4493–4494 (2013).Article 

    Google Scholar 
    Dillon, M. E., Wang, G. & Huey, R. B. Global metabolic impacts of recent climate warming. Nature 467, 704–706 (2010).Article 
    ADS 
    CAS 

    Google Scholar 
    Deutsch, C., Ferrel, A., Seibel, B., Pörtner, H.-O. & Huey, R. B. Climate change tightens a metabolic constraint on marine habitats. Science 348, 1132–1135 (2015).Article 
    ADS 
    CAS 

    Google Scholar 
    Gillooly, J. F., Brown, J. H., West, G. B., Savage, V. M. & Charnov, E. L. Effects of size and temperature on metabolic rate. Science 293, 2248–2251 (2001).Article 
    ADS 
    CAS 

    Google Scholar 
    Brown, J. H., Gillooly, J. F., Allen, A. P., Savage, V. M. & West, G. B. Toward a metabolic theory of ecology. Ecology 85, 1771–1789 (2004).Article 

    Google Scholar 
    Clarke, A. Is there a universal temperature dependence of metabolism?. Funct. Ecol. 18, 252–256 (2004).Article 

    Google Scholar 
    Clarke, A. & Fraser, K. P. P. Why does metabolism scale with temperature?. Funct. Ecol. 18, 243–251 (2004).Article 

    Google Scholar 
    Fangue, N. A., Hofmeister, M. & Schulte, P. M. Intraspecific variation in thermal tolerance and heat shock protein gene expression in common killifish, Fundulus heteroclitus. J. Exp. Biol. 209, 2859–2872 (2006).Article 
    CAS 

    Google Scholar 
    Dhillon, R. S. & Schulte, P. M. Intraspecific variation in the thermal plasticity of mitochondria in killifish. J. Exp. Biol. 214, 3639–3648 (2011).Article 
    CAS 

    Google Scholar 
    Fangue, N. A., Podrabsky, J. E., Crawshaw, L. I. & Schulte, P. M. Countergradient variation in temperature preference in populations of killifish Fundulus heteroclitus. Physiol. Biochem. Zool. 82, 776–786 (2009).Article 

    Google Scholar 
    Healy, T. M. & Schulte, P. M. Thermal acclimation is not necessary to maintain a wide thermal breadth of aerobic scope in the common killifish (Fundulus heteroclitus). Physiol. Biochem. Zool. 85, 107–119 (2012).Article 
    CAS 

    Google Scholar 
    Chust, G. et al. Are Calanus spp. shifting poleward in the North Atlantic? A habitat modelling approach. ICES J. Mar. Sci. 71, 241–253 (2014).Article 

    Google Scholar 
    Norin, T., Malte, H. & Clark, T. D. Aerobic scope does not predict the performance of a tropical eurythermal fish at elevated temperatures. J. Exp. Biol. 217, 244–251 (2014).
    Google Scholar 
    Payne, N. L. et al. Temperature dependence of fish performance in the wild: links with species biogeography and physiological thermal tolerance. Funct. Ecol. 30, 903–912 (2016).Article 

    Google Scholar 
    Raffel, T. R. et al. Disease and thermal acclimation in a more variable and unpredictable climate. Nat. Clim. Change 3, 146–151 (2013).Article 
    ADS 

    Google Scholar 
    Sinclair, B. J. et al. Can we predict ectotherm responses to climate change using thermal performance curves and body temperatures?. Ecol. Lett. 19, 1372–1385 (2016).Article 

    Google Scholar 
    Dahlke, F. T. et al. Northern cod species face spawning habitat losses if global warming exceeds 1.5°C. Sci. Adv. 4, 8821 (2018).Article 
    ADS 

    Google Scholar 
    Pörtner, H.-O. & Giomi, F. Nothing in experimental biology makes sense except in the light of ecology and evolution: Correspondence on J. Exp. Biol. 2771-2782. J. Exp. Biol. 216, 4494–4495 (2013).Article 

    Google Scholar 
    Pörtner, H.-O. How and how not to investigate the oxygen and capacity limitation of thermal tolerance (OCLTT) and aerobic scope: Remarks on the article by Gräns et al. J. Exp. Biol. 217, 4432–4433 (2014).Article 

    Google Scholar 
    Kleiber, M. Body size and metabolism. Hilgardia 6, 315–353 (1932).Article 
    CAS 

    Google Scholar 
    Killen, S. S., Atkinson, D. & Glazier, D. S. The intraspecific scaling of metabolic rate with body mass in fishes depends on lifestyle and temperature. Ecol. Lett. 13, 184–193 (2010).Article 

    Google Scholar 
    Norin, T. & Gamperl, A. K. Metabolic scaling of individuals vs. populations: Evidence for variation in scaling exponents at different hierarchical levels. Funct. Ecol. 32, 379–388 (2018).Article 

    Google Scholar 
    Jayasundara, N., Kozal, J. S., Arnold, M. C., Chan, S. S. L. & Giulio, R. T. D. High-throughput tissue bioenergetics analysis reveals identical metabolic allometric scaling for teleost hearts and whole organisms. PLoS ONE 10, e0137710 (2015).Article 

    Google Scholar 
    Kinnison, M. T., Unwin, M. J. & Quinn, T. P. Migratory costs and contemporary evolution of reproductive allocation in male chinook salmon. J. Evol. Biol. 16, 1257–1269 (2003).Article 
    CAS 

    Google Scholar 
    Clarke, A. & Johnston, N. M. Scaling of metabolic rate with body mass and temperature in teleost fish. J. Anim. Ecol. 68, 893–905 (1999).Article 

    Google Scholar 
    Duvernell, D. D., Lindmeier, J. B., Faust, K. E. & Whitehead, A. Relative influences of historical and contemporary forces shaping the distribution of genetic variation in the Atlantic killifish, Fundulus heteroclitus. Mol. Ecol. 17, 1344–1360 (2008).Article 

    Google Scholar 
    Navarro-Racines, C., Tarapues, J., Thornton, P., Jarvis, A. & Ramirez-Villegas, J. High-resolution and bias-corrected CMIP5 projections for climate change impact assessments. Sci. Data 7, 1–14 (2020).Article 

    Google Scholar 
    Franke, R. Scattered data interpolation: Tests of some methods. Math. Comput. 38, 181–200 (1982).MathSciNet 
    MATH 

    Google Scholar 
    Levitus, S. et al. World ocean heat content and thermosteric sea level change (0–2000 m), 1955–2010. Geophys. Res. Lett. 39, 15. https://doi.org/10.1029/2012GL051106 (2012).Article 

    Google Scholar 
    Kaschner, K. et al. AquaMaps: Predicted Range Maps for Aquatic Species (Worldwide Web Electronic Publication, 2019).
    Google Scholar 
    Jayasundara, N. Ecological significance of mitochondrial toxicants. Toxicology 391, 64–74 (2017).Article 
    CAS 

    Google Scholar 
    Beers, J. M. & Jayasundara, N. Antarctic notothenioid fish: what are the future consequences of ‘losses’ and ‘gains’ acquired during long-term evolution at cold and stable temperatures?. J. Exp. Biol. 218, 1834–1845 (2015).Article 

    Google Scholar 
    Lear, K. O. et al. Thermal performance responses in free-ranging elasmobranchs depend on habitat use and body size. Oecologia 191, 829–842 (2019).Article 
    ADS 

    Google Scholar 
    Good, S. et al. The current configuration of the OSTIA system for operational production of foundation sea surface temperature and ice concentration analyses. Remote Sens. 12, 720 (2020).Article 
    ADS 

    Google Scholar 
    Stocker, T. Climate Change 2013: The Physical Science Basis: Working Group I Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (Cambridge University Press, 2014).
    Google Scholar 
    Ready, J. et al. Predicting the distributions of marine organisms at the global scale. Ecol. Model. 221, 467–478 (2010).Article 

    Google Scholar 
    Pawlowicz, R. M_Map: A Mapping Package for MATLAB, Version 1.4 m. Computer Software, UBC EOAS. https://www.eoas.ubc.ca/rich/map.html (2020).Schulzweida, U., Kornblueh, L. & Quast, R. CDO User’s Guide. Climate Data Operators, Version 1, (2006).Nychka, D., Furrer, R., Paige, J. & Sain, S. Fields: Tools for Spatial Data. R Package Version 11.6. (2017).Chen, Z., Farrell, A. P., Matala, A. & Narum, S. R. Mechanisms of thermal adaptation and evolutionary potential of conspecific populations to changing environments. Mol. Ecol. 27, 659–674 (2018).Article 

    Google Scholar 
    da Silva, C. R. B., Riginos, C. & Wilson, R. S. An intertidal fish shows thermal acclimation despite living in a rapidly fluctuating environment. J. Comp. Physiol. B. 189, 385–398 (2019).Article 

    Google Scholar 
    Slesinger, E. et al. The effect of ocean warming on black sea bass (Centropristis striata) aerobic scope and hypoxia tolerance. PLoS ONE 14, e0218390 (2019).Article 
    CAS 

    Google Scholar 
    Moffett, E. R., Fryxell, D. C., Palkovacs, E. P., Kinnison, M. T. & Simon, K. S. Local adaptation reduces the metabolic cost of environmental warming. Ecology 99, 2318–2326 (2018).Article 

    Google Scholar 
    Turker, H. The effect of water temperature on standard and routine metabolic rate in two different sizes of Nile tilapia. Kafkas Universitesi Veteriner Fakultesi Dergisi 17, 575–580 (2011).
    Google Scholar 
    Hvas, M., Folkedal, O., Imsland, A. & Oppedal, F. The effect of thermal acclimation on aerobic scope and critical swimming speed in Atlantic salmon, Salmo salar. J. Exp. Biol. 220, 2757–2764 (2017).
    Google Scholar 
    Ohlberger, J., Mehner, T., Staaks, G. & Hölker, F. Intraspecific temperature dependence of the scaling of metabolic rate with body mass in fishes and its ecological implications. Oikos 121, 245–251 (2012).Article 

    Google Scholar 
    Kunz, K. L. et al. New encounters in Arctic waters: A comparison of metabolism and performance of polar cod (Boreogadus saida) and Atlantic cod (Gadus morhua) under ocean acidification and warming. Polar Biol. 39, 1137–1153 (2016).Article 

    Google Scholar 
    Norin, T., Bailey, J. A. & Gamperl, A. K. Thermal biology and swimming performance of Atlantic cod (Gadus morhua) and haddock (Melanogrammus aeglefinus). PeerJ 7, e7784 (2019).Article 

    Google Scholar 
    Nowell, L. B. et al. Swimming energetics and thermal ecology of adult bonefish (Albula vulpes): A combined laboratory and field study in Eleuthera, The Bahamas. Environ. Biol. Fishes 98, 2133–2146 (2015).Article 

    Google Scholar 
    Pang, X., Yuan, X.-Z., Cao, Z.-D., Zhang, Y.-G. & Fu, S.-J. The effect of temperature on repeat swimming performance in juvenile qingbo (Spinibarbus sinensis). Fish Physiol. Biochem. 41, 19–29 (2015).Article 
    CAS 

    Google Scholar 
    Schwieterman, G. D. et al. Metabolic Rates and Hypoxia Tolerences of clearnose skate (Rostaraja eglanteria), summer flounder (Paralichthys dentatus), and thorny skate (Amblyraja radiata). Biology 8, 56 (2019).Article 
    CAS 

    Google Scholar 
    Xie, H. et al. Effects of acute temperature change and temperature acclimation on the respiratory metabolism of the snakehead. Turk. J. Fish. Aquat. Sci. 17, 535–542 (2017).Article 

    Google Scholar  More

  • in

    Impacts of soil nutrition on floral traits, pollinator attraction, and fitness in cucumbers (Cucumis sativus L.)

    Fichtner, K. & Schulze, E. D. The effect of nitrogen nutrition on growth and biomass partitioning of annual plants originating from habitats of different nitrogen availability. Oecologia 92, 236–241 (1992).Article 
    ADS 
    CAS 

    Google Scholar 
    Rodger, J. G. et al. Widespread vulnerability of flowering plant seed production to pollinator declines. Sci. Adv. 7, eabd3524. https://doi.org/10.1126/sciadv.abd3524 (2021).Article 
    ADS 

    Google Scholar 
    de Groot, C. C., Marcelis, L. F. M., van den Boogaard, R., Kaiser, W. M. & Lambers, H. Interaction of nitrogen and phosphorus nutrition in determining growth. Plant Soil 248, 257–268 (2003).Article 

    Google Scholar 
    Wang, Z. & Li, S. Effects of nitrogen and phosphorus fertilization on plant growth and nitrate accumulation in vegetables. J. Plant Nutr. 27, 539–556 (2004).Article 
    CAS 

    Google Scholar 
    Razaq, M., Zhang, P. & Shen, H. L. Influence of nitrogen and phosphorous on the growth and root morphology of Acer mono. PLoS One 12, e0171321. https://doi.org/10.1371/journal.pone.0171321 (2017).Article 
    CAS 

    Google Scholar 
    Poulton, J. L., Bryla, D., Koide, R. T. & Stephenson, A. G. Mycorrhizal infection and high soil phosphorus improve vegetative growth and the female and male functions in tomato. New Phytol. 154, 255–264 (2002).Article 
    CAS 

    Google Scholar 
    Burkle, L. A. & Irwin, R. E. The effects of nutrient addition on floral characters and pollination in two subalpine plants, Ipomopsis aggregata and Linum lewisii. Plant Ecol. 203, 83–98 (2009).Article 

    Google Scholar 
    Burkle, L. A. & Irwin, R. E. Beyond biomass: measuring the effects of community-level nitrogen enrichment on floral traits, pollinator visitation and plant reproduction. J. Ecol. 98, 705–717 (2010).Article 

    Google Scholar 
    Hoover, S. E. R. et al. Warming, CO2, and nitrogen deposition interactively affect a plant-pollinator mutualism. Ecol. Lett. 15, 227–234 (2012).Article 

    Google Scholar 
    Lau, T. C. & Stephenson, A. G. Effects of soil nitrogen on pollen production, pollen grain size, and pollen performance in Cucurbita pepo (Cucurbitaceae). Am. J. Bot. 80, 763–768 (1993).Article 
    CAS 

    Google Scholar 
    Lau, T. C. & Stephenson, A. Effects of soil phosphorus on pollen production, pollen size, pollen phosphorus content, and the ability to sire seeds in Cucurbita pepo (Cucurbitaceae). Sex. Plant Reprod. 7, 215–220 (1994).Article 

    Google Scholar 
    Atasay, A., Akgül, H., Uçgun, K. & Şan, B. Nitrogen fertilization affected the pollen production and quality in apple cultivars ‘Jerseymac’ and ‘Golden Delicious’. Acta Agric. Scand. Sect. B. Soil Plant Sci. 63, 460–465 (2013).
    Google Scholar 
    Shuel, R. W. Some aspects of the relation between nectar secretion and nitrogen, phosphorus, and potassium nutrition. Can. J. Plant Sci. 37, 220–236 (1957).Article 
    CAS 

    Google Scholar 
    Robacker, D. C., Flottum, P. K., Sammataro, D. & Erickson, E. H. Effects of climatic and edaphic factors on soybean flowers and on the subsequent attractiveness of the plants to honey bees. Field Crops Res. 6, 267–278 (1983).Article 

    Google Scholar 
    Dror, I., Yaron, B. & Berkowitz, B. The human impact on all soil-forming factors during the anthropocene. ACS Environ. Au 2, 11–19 (2022).Article 
    CAS 

    Google Scholar 
    David, T. I., Storkey, J. & Stevens, C. J. Understanding how changing soil nitrogen affects plant–pollinator interactions. Arthropod. Plant Interact. 13, 671–684 (2019).Article 

    Google Scholar 
    Russo, L., Buckley, Y. M., Hamilton, H., Kavanagh, M. & Stout, J. C. Low concentrations of fertilizer and herbicide alter plant growth and interactions with flower-visiting insects. Agric. Ecosyst. Environ. 304, 107141. https://doi.org/10.1016/j.agee.2020.107141 (2020).Article 
    CAS 

    Google Scholar 
    Akter, A. & Klečka, J. Water stress and nitrogen supply affect floral traits and pollination of the white mustard, Sinapis alba (Brassicaceae). PeerJ 10, e13009. https://doi.org/10.7717/peerj.13009 (2022).Article 
    CAS 

    Google Scholar 
    Wu, Y. et al. Soil water and nutrient availability interactively modify pollinator-mediated directional and correlational selection on floral display. New Phytol. https://doi.org/10.1111/nph.18537 (2022).Article 

    Google Scholar 
    Nicolson, S. W. Sweet solutions: nectar chemistry and quality. Philos. Trans. R. Soc. Lond. B Biol. Sci. 377, 2163. https://doi.org/10.1098/rstb.2021.0163 (2022).Article 
    CAS 

    Google Scholar 
    Vaudo, A. D., Tooker, J. F., Grozinger, C. M. & Patch, H. M. Bee nutrition and floral resource restoration. Curr. Opin. Insect Sci. 10, 133–141 (2015).Article 

    Google Scholar 
    Cnaani, J., Thomson, J. D. & Papaj, D. R. Flower choice and learning in foraging bumblebees: effects of variation in nectar volume and concentration. Ethology 112, 278–285 (2006).Article 

    Google Scholar 
    Vaudo, A. D., Patch, H. M., Mortensen, D. A., Tooker, J. F. & Grozinger, C. M. Macronutrient ratios in pollen shape bumble bee (Bombus impatiens) foraging strategies and floral preferences. Proc. Natl. Acad. Sci. U. S. A. 113, E4035–E4042. https://doi.org/10.1073/pnas.1606101113 (2016).Article 
    ADS 
    CAS 

    Google Scholar 
    Vaudo, A. D. et al. Pollen protein: lipid macronutrient ratios may guide broad patterns of bee species floral preferences. Insects 11, 132. https://doi.org/10.3390/insects11020132 (2020).Article 

    Google Scholar 
    Cardoza, Y. J., Harris, G. K. & Grozinger, C. M. Effects of soil quality enhancement on pollinator-plant interactions. Psyche 2012, 581458. https://doi.org/10.1155/2012/581458 (2012).Article 

    Google Scholar 
    Ceulemans, T., Hulsmans, E., Vanden Ende, W. & Honnay, O. Nutrient enrichment is associated with altered nectar and pollen chemical composition in Succisa pratensis Moench and increased larval mortality of its pollinator Bombus terrestris L.. PLoS One 12, e0175160. https://doi.org/10.1371/journal.pone.0175160 (2017).Article 
    CAS 

    Google Scholar 
    Russo, L., Vaudo, A. D., Fisher, C. J., Grozinger, C. M. & Shea, K. Bee community preference for an invasive thistle associated with higher pollen protein content. Oecologia 190, 901–912 (2019).Article 
    ADS 

    Google Scholar 
    Russo, L., Keller, J., Vaudo, A. D., Grozinger, C. M. & Shea, K. Warming increases pollen lipid concentration in an invasive thistle, with minor effects on the associated floral-visitor community. Insects 11, 20. https://doi.org/10.3390/insects11010020 (2019).Article 

    Google Scholar 
    Awmack, C. S. & Leather, S. R. Host plant quality and fecundity in herbivorous insects. Annu. Rev. Entomol. 47, 817–844 (2002).Article 
    CAS 

    Google Scholar 
    Carisey, N. & Bauce, E. Does nutrition-related stress carry over to spruce budworm, Choristoneura fumiferana (Lepidoptera: Tortricidae) progeny?. Bull. Entomol. Res. 92, 101–108 (2002).Article 
    CAS 

    Google Scholar 
    Zhang, G. & Han, X. N: P stoichiometry in Ficus racemosa and its mutualistic pollinator. J. Plant Ecol. 3, 123–130 (2010).Article 

    Google Scholar 
    Visanuvimol, L. & Bertram, S. M. How dietary phosphorus availability during development influences condition and life history traits of the cricket Acheta domesticas. J. Insect Sci. 11, 63. https://doi.org/10.1673/031.011.6301 (2011).Article 

    Google Scholar 
    Dovrat, G., Meron, E., Shachak, M., Golodets, C. & Osem, Y. Plant size is related to biomass partitioning and stress resistance in water-limited annual plant communities. J. Arid Environ. 165, 1–9 (2019).Article 
    ADS 

    Google Scholar 
    Bobbink, R. et al. Global assessment of nitrogen deposition effects on terrestrial plant diversity: a synthesis. Ecol. Appl. 20, 30–59 (2010).Article 
    CAS 

    Google Scholar 
    Tao, L. & Hunter, M. D. Does anthropogenic nitrogen deposition induce phosphorus limitation in herbivorous insects?. Glob. Chang. Biol. 18, 1843–1853 (2012).Article 
    ADS 

    Google Scholar 
    Tognetti, P. M. et al. Negative effects of nitrogen override positive effects of phosphorus on grassland legumes worldwide. Proc. Natl. Acad. Sci. 118(28), e2023718118. https://doi.org/10.1073/pnas.2023718118 (2021).Article 
    CAS 

    Google Scholar 
    Leghari, S. J. et al. Role of nitrogen for plant growth and development: a review. Adv. Environ. Biol. 10, 209–218 (2016).
    Google Scholar 
    Carvalheiro, L. G. et al. Soil eutrophication shaped the composition of pollinator assemblages during the past century. Ecography 43, 209–221 (2020).Article 

    Google Scholar 
    Lefcheck, J. S. Piecewisesem: piecewise structural equation modelling in R for ecology, evolution, and systematics. Methods Ecol. Evol. 7, 573–579 (2016).Article 

    Google Scholar 
    Roulston, T. H., Cane, J. H. & Buchmann, S. L. What governs protein content of pollen: Pollinator preferences, pollen–pistil interactions, or phylogeny?. Ecol. Monogr. 70, 617–643 (2000).
    Google Scholar 
    Pacini, E. & Hesse, M. Pollenkitt—its composition, forms and functions. Flora 200, 399–415 (2005).Article 

    Google Scholar 
    Vaudo, A. D. et al. Bumble bees regulate their intake of essential protein and lipid pollen macronutrients. J. Exp. Biol. 219, 3962–3970 (2016).CAS 

    Google Scholar 
    Vaudo, A. D., Farrell, L. M., Patch, H. M., Grozinger, C. M. & Tooker, J. F. Consistent pollen nutritional intake drives bumble bee (Bombus impatiens) colony growth and reproduction across different habitats. Ecol. Evol. 8, 5765–5776 (2018).Article 

    Google Scholar 
    Treanore, E. D., Vaudo, A. D., Grozinger, C. M. & Fleischer, S. J. Examining the nutritional value and effects of different floral resources in pumpkin agroecosystems on Bombus impatiens worker physiology. Apidologie 50, 542–552 (2019).Article 

    Google Scholar 
    Baker, H. G. & Baker, I. The predictive value of nectar chemistry to the recognition of pollinator types. Israel J. Bot. 39, 157–166 (1990).CAS 

    Google Scholar 
    Thomson, J. D. Pollen transport and deposition by bumble bees in Erythronium: influences of floral nectar and bee grooming. J. Ecol. 74, 329–341 (1986).Article 

    Google Scholar 
    Gonzalez, M. V., Coque, M. & Herrero, M. Influence of pollination systems on fruit set and fruit quality in kiwifruit (Actinidia deliciosa). Ann. Appl. Biol. 132, 349–355 (1998).Article 

    Google Scholar 
    Morandin, L. A., Laverty, T. M. & Kevan, P. G. Effect of bumble bee (Hymenoptera: Apidae) pollination intensity on the quality of greenhouse tomatoes. J. Econ. Entomol. 94, 172–179 (2001).Article 
    CAS 

    Google Scholar 
    Karron, J. D., Mitchell, R. J. & Bell, J. M. Multiple pollinator visits to Mimulus ringens (Phrymaceae) flowers increase mate number and seed set within fruits. Am. J. Bot. 93, 1306–1312 (2006).Article 

    Google Scholar 
    Kiatoko, N., Raina, S. K., Muli, E. & Mueke, J. Enhancement of fruit quality in Capsicum annum through pollination by Hypotrigona gribodoi in Kakamega Western Kenya. Entomol. Sci. 17, 106–110 (2014).Article 

    Google Scholar 
    Abrol, D. P., Gorka, A. K., Ansari, M. J., Al-Ghamdi, A. & Al-Kahtani, S. Impact of insect pollinators on yield and fruit quality of strawberry. Saudi J. Biol. Sci. 26, 524–530 (2019).Article 

    Google Scholar 
    Osman, M. A., Raju, P. S. & Peacock, J. M. The effect of soil temperature, moisture and nitrogen on Striga asiatica (L.) Kuntze seed germination, viability and emergence on sorghum (Sorghum bicolor L. Moench) roots under field conditions. Plant Soil 131, 265–273 (1991).Article 
    CAS 

    Google Scholar 
    Rose, T. J. & Raymond, C. A. Seed phosphorus effects on rice seedling vigour in soils differing in phosphorus status. Agronomy 10(12), 1919. https://doi.org/10.3390/agronomy10121919 (2020).Article 
    CAS 

    Google Scholar 
    Cavatorta, J. et al. ‘Marketmore 97’: a monoecious slicing cucumber inbred with multiple disease and insect resistances. HortScience 42, 707–709 (2007).Article 

    Google Scholar 
    Friedman, J. The evolution of annual and perennial plant life histories: ecological correlates and genetic mechanisms. Annu. Rev. Ecol. Evol. Syst. 51, 461–481 (2020).Article 

    Google Scholar 
    Alzate-Marin, A. L. et al. Warming and elevated CO2 induces changes in the reproductive dynamics of a tropical plant species. Sci. Total Environ. 768, 144899. https://doi.org/10.1016/j.scitotenv.2020.144899 (2021).Article 
    ADS 
    CAS 

    Google Scholar 
    Mu, J. et al. Domesticated honey bees evolutionarily reduce flower nectar volume in a Tibetan lotus. Ecology 95, 3161–3172 (2014).Article 

    Google Scholar 
    Cruden, R. W. Pollen-ovule ratios: a conservative indicator of breeding systems in flowering plants. Evolution 31, 32–46 (1977).
    Google Scholar 
    Costa, C. M. & Yang, S. Counting pollen grains using readily available, free image processing and analysis software. Ann. Bot. 104, 1005–1010 (2009).Article 

    Google Scholar 
    Schneider, C. A., Rasband, W. S. & Eliceiri, K. W. NIH Image to ImageJ: 25 years of image analysis. Nat. Methods 9, 671–675 (2012).Article 
    CAS 

    Google Scholar 
    Vaudo, A. D., Patch, H. M., Mortensen, D. A., Grozinger, C. M. & Tooker, J. F. Bumble bees exhibit daily behavioral patterns in pollen foraging. Arthropod. Plant. Interact. 8, 273–283 (2014).
    Google Scholar  More

  • in

    Ant milk: The mysterious fluid that helps them thrive

    Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain
    the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in
    Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles
    and JavaScript. More

  • in

    Grazing pressure on drylands

    Maestre and colleagues collected data using a standardized field survey at 98 sites across 25 countries and 6 continents, fitted linear mixed models to data from all sites and grazing pressure levels, and then applied a multimodel inference procedure to select the set of best-fitting models. The authors found interactions between grazing and biodiversity in almost half of the best-fitting models, where increasing grazing pressure had positive effects on ecosystem services in colder sites with high plant species richness. However, increases in grazing pressure at warmer sites with high rainfall seasonality and low plant species richness interacted with soil properties to either increase or reduce the delivery of multiple ecosystem services. The authors’ findings highlight how increasing herbivore richness could enhance ecosystem service delivery across contrasting environmental and biodiversity conditions, enhancing soil carbon storage and reducing the negative impacts of increased grazing pressure. More

  • in

    Diversity of Trichoderma species associated with soil in the Zoige alpine wetland of Southwest China

    Trichoderma species collectionEighty strains were obtained from 100 soil samples collected from Zoige alpine wetland ecological regions in China. Details of the strains isolated from soil samples are given in Table 1. All strains were subsequently used for morphological identification, while fifty-seven were used for phylogenetic analysis.Table 1 Details of 80 Trichoderma isolates from the Zoige alpine wetland in this study.Full size tablePhylogenetic analysisThe ITS region used preliminarily as a species identification criterion was applied to TrichOKey at www.ISTH.info70. However, the ITS region has a low number of variable sites and long insertions in certain species; thus, it is unsuitable for a phylogenetic reconstruction of this group41. Our study successfully amplified most fragments of the genes tef1, rpb2, and acl1. We also designed a pair of new primers based on the full-length tef1 gene, 5′-GAGAAGTTCGAGAAGGTGAGC-3′ and 5′-ATGTCACGGACGGCGAAAC-3′, with which a 1.4-kb fragment was amplified for most isolates.All samples analyzed in our study were divided into 4 primary clades based on the gpd gene region, including 49 strains from the T. harzianum complex, 3 T. rossicum strains, 1 T. polysporum strain and one unknown species (4 Trichoderma sp. strains) (Fig. 1). Maximum parsimony analysis was conducted among 101 strains, with Protocrea farinosa (CPK 2472) and P. pallida (CBS 299.78) used as outgroup (Table 2). The dataset for the rpb2, tef1 and acl1 genes contained 3403 characteristics, among which 1152 were parsimony-informative, 988 were variable and parsimony-uninformative, and 1263 were constant. The most parsimonious trees are shown in Fig. 2 (tree length = 5054, consistency index = 0.6005, homoplasy index = 0.3995, retention index = 0.8105, rescaled consistency index = 0.4867).Figure 1Neighbor-joining tree based on partial gpd gene sequences from 57 Trichoderma isolates. Parsimony bootstrap values of more than 50% are shown at nodes.Full size imageTable 2 Trichoderma strain included in the multi-gene sequence analysis, with details of clade, strain number, location, and GenBank accessions of the sequences generated.Full size tableFigure 2Maximum parsimony tree of Trichoderma species inferred from the combined rpb2, tef1 and acl1 partial sequences. Maximum parsimony bootstrap values above 50% are shown at nodes. The tree was rooted with Protocrea farinose and P. pallida Isolates from this study are shown in red (new species in bold).Full size imageThe phylogram showed that 57 stains belonged to the following four clades: Harzianum, Polysporum, Stromaticum, and Longibrachiatum. The strains of the first three clades with neighboring named species were well supported by bootstrap values greater than 90%. The Harzianum clade contained T. alni, T. atrobrunneum, T. harzianum and T. pyramidale of the Trichoderma species complex. The Polysporum clade contained only T. polysporum, and the Stromaticum clade contained T. rossicum. The Longibrachiatum clade contained four strains of Trichoderma sp., T25, T43, T44 and T48, which were separated from any other known taxa of this clade showed a low bootstrap value (MPBP = 62%) with T. citrinoviride and T. saturnisporum. We thus regarded it as a new species and named it Trichoderma zoigense, as described in the next section.Growth ratesAs shown in Fig. 3, the genus Trichoderma from Zoige alpine wetland ecological regions was able to grow in a range from 15 to 35 °C, and the suitable growth temperature for most species ranged from 20 to 30 °C. All seven species identified had normal viability at relatively low temperature (15 °C), and they rarely grew well over 35 °C except for T. zoigense. For T. atrobrunneum, T. harzianum and T. pyramidale, the optimum growth temperature on CMD was 25 to 30 °C. T. alni and T. rossicum preferred a cool growth environment, with an optimum temperature of 25 °C, whereas T. zoigense was more partial to a hot environment, with an optimum temperature of 30 °C, and it even grew well up to 35 °C. T. polysporum was the only slow-growing species that grew with less than 6.0 mm/day between 15 and 30 °C and did not survive at 35 °C. The above results showed that all species had different growth rates but were not completely differentiated from each other on CMD. These species were roughly divided into four groups based on their optimum growth temperature.Figure 3Growth rates of 7 species of Trichoderma on CMD given as mm per day at five temperatures. The values were the means of 3–5 experiments, with 1–3 representative isolates per species.Full size imageRelationship with ecological factorsOur results revealed a substantial disparity in the number and distribution of Trichoderma species among Zoige alpine wetland ecological regions (Tables 3, 4). Table 3 showed that T. harzianum was found in all four soil types, but most isolates of this species were obtained from peat soil. T. rossicum, T. alni and T. zoigense were also present in meadow soil and subalpine meadow soil, whereas T. atrobrunneum was found in aeolian sandy soil and peat soil. T. polysporum was found only in peat soil.Table 3 Isolation frequency of Trichoderma species in different soil types (%).Full size tableTable 4 Isolation frequency of Trichoderma species in different soil layers (%) species.Full size tableIn regard to the different soil layers shown in Table 4, T. harzianum was widely distributed in the five soil layers at depths of 0–100 cm. T. rossicum, T. alni and T. zoigense were isolated mainly from the soil layers at depths of 0–50 cm. Both T. atrobrunneum and T. pyramidale were isolated from depths of 0–10 cm, and T. polysporum was found only in the soil layers at depths of 50–100 cm.Regarding isolation frequency, T. harzianum was the most common of the seven species with a 23% isolation frequency, and it was therefore the dominant species in the zone, while the rare species T. polysporum and T. pyramidale had the lowest isolation frequencies at 1%.TaxonomyNew speciesTrichoderma zoigense G.S. Gong & G.T. Tang, sp. nov. (Fig. 4).Figure 4Cultures and asexual morph of Trichoderma zoigense. (a–d). Cultures at 20 °C [(a) on CMD, 7 days; (b) on MEA, 4 days; (c) on PDA, 4 days; and (d) on SNA, 7 days]. (e) Conidiation tuft (CMD, 4 days). (f–k) Conidiophores and phialides (CMD, 5–7 days). (l) Chlamydospores (PDA, 8 days). (m) Conidia (CMD, 5 days). Scale bars: (e) = 2 mm; (f–m) = 10 μm.Full size imageMycoBank: MB 82114.Typification: CHINA. SICHUAN PROVINCE: Zoige Alpine Wetland, on soil, 29 June 2013, G.S. Gong T44 (holotype CGMCC3.20145). GenBank: ITS = KX632531; TEF = KX632588; RPB2 = KX632645; ACL1 = KX632702; GPD = KX632759.Etymology: zoigense (Latin), the specific epithet about the place where the type was found.Description: Cultures and anamorph: optimal growth at 25 °C on all four media. On CMD after 72 h, growth is 25–28 mm at 20 °C and 28–31 mm at 25 °C. Colony is dense and has a wavy to crenate margin. Surface becomes distinctly zonate and white to grayish-green but celadon to atrovirens later, and it is granular in the center and distinctly radially downy outside and shows whitish surface hyphae and reverse-diffusing croci to pale brown pigment (Fig. 4a). Aerial hyphae are numerous to punctate and long, forming radial strands, with white mycelial patches appearing in aged cultures (Fig. 4e). Autolytic excretions are rare, with no coilings observed. Conidiation was noted after 3–4 d at 25 °C, a yellow or greenish color appears after 7 days, conidiation is effuse, and in intense tufts, erect conidiophores occur around the plug and on aerial hyphae. They are mainly concentrated along the colony center, show a white color that turns green, and then finally degenerate, with conidia often adhering in chains. Conidiophores are short and simple with asymmetric branches. Branches produce phialides directly. Phialides are generally solitary along main axes and side branches and sometimes paired in the terminal position of the main axes, sometimes in whorls of 2–3. Phialides are 4.5–10.5 × 2–5 μm ((overline{x }) = 7.5 ± 1.5 × 3 ± 0.5, n = 50) and 1.5–2.5 μm ((overline{x }) = 2 ± 0.2) wide at the base, lageniform or ampulliform, mostly uncinate or slightly curved, less straight, and often distinctly widened in the middle (Fig. 4f–k). Conidia are 3–4.5 × 2.3–4 μm ((overline{x }) = 3.5 ± 0.3 × 3 ± 0.3, n = 50) and initially hyaline, and they turn green and are oblong or ellipsoidal, almost with constricted sides, and smooth, eguttulate or with minute guttules, with indistinct scars (Fig. 4m).On PDA, after 72 h, growth is 35–41 mm at 20 °C and 50–55 mm at 25 °C; and mycelium covers the plate after 5 days at 25 °C. Colonies are dense with wavy to crenate margins; and mycelia are conspicuously differentiated in width of the primary and secondary hyphae. Surface becomes distinctly zonate, yellowish-green to prasinous in color and celadon to atrovirens later, and it is farinose to granular in the center, distinctly radially downy outside, with whitish of surface hyphae and reverse-diffusing brilliant yellow to fruit-green pigment (Fig. 4c). Aerial hyphae are numerous, long and ascend several millimeters, forming radial strands, with white mycelial patches appearing in aged cultures. Autolytic excretions are rare; and no coilings are observed. Odor is indistinct or fragrant. Chlamydospores examined after 7 days at 4.5–9 × 4.5–7.5 μm ((overline{x }) = 6 ± 1.1 × 6 ± 0.7, n = 50), and they are terminal, intercalary, globose or ellipsoidal, and smooth (Fig. 4l). Conidiation is noted after 3–4 days and yellow or greenish after 7 days. Conidiophores are short and simple with asymmetric branches; conidia are greenish, ellipsoidal, and smooth.On SNA, after 72 h, growth is 13–15 mm at 20 °C and, 16–21 mm at 25 °C; and mycelium covers the plate after 12–13 days at 25 °C. Colony is similar to that on CMD, with a little wave margin, although mycelia are looser and slower on the agar surface. Aerial hyphae are relatively inconspicuous and long along the colony margin. Autolytic activity and coiling are absent or inconspicuous. No diffusing pigment or distinct odor are produced (Fig. 4d). Conidiation was noted after 3–4 days at 25 °C, and many amorphous, loose white or aqua cottony tufts occur, mostly median from the plug outwards, and they are confluent to masses up and white but then turn green. After 4–5 days, conidiation becomes dense within the tufts, which are loose at their white margins with long, straight, or slightly sinuous sterile ends in the periphery. Tufts consisting of a loose reticulum with branches often at right angles, give rise to several main axes. Main axes are regular and tree-like, with few or many paired or unpaired side branches. Branches are flexuous, and phialides are solitary along the main axes and side branches, and they are sometimes paired in the terminal position of the main axes, sometimes in whorls of 2–3 that are often cruciform or in pseudo-whorls up to 4. Phialides and conidia are similar to that on CMD.New records for ChinaTrichoderma atrobrunneum F. B. Rocha et al., Mycologia 107: 571, 2015 (Fig. 5).Figure 5Cultures and asexual morph of Trichoderma atrobrunneum. (a–d) Cultures at 25 °C [(a) on CMD, 7 days; (b) on MEA, 4 days; (c) on PDA, 15 days; and (d) on SNA, 7 days]. (e) Conidiation tuft (SNA, 7 days). (f–i,k,l) Conidiophores and phialides (CMD, 5–7 days). (j) Conidia (CMD, 6 days). (m) Chlamydospores (PDA, 7 days). Scale bars: (e) = 2 mm; (f–m) = 10 μm.Full size imageSpecimen examined: CHINA. SICHUAN PROVINCE: Zoige Alpine Wetland, on soil, 29 June 2013, G.S. Gong T42 (holotype CGMCC.20167). GenBank: ITS = KX632514; TEF = KX632571; RPB2 = KX632628; ACL1 = KX632685; GPD = KX632742.Description: Cultures and anamorph: optimal growth at 25 °C on all media. On CMD, after 72 h, growth is 35–37 mm at 20 °C and 46–53 mm at 25 °C; mycelium covers the plate after 5–6 days at 25 °C. Colonies show distinct zonation. Mycelia are loose and thin; hyphae are narrow, sinuous and often form strands on the margin (Fig. 5a). Aerial hyphae are slight, forming a thin white to green downy fluffy or floccose mat. The light brown or brown pigment is observed, with no distinct odor noted. Conidiophores are pyramidal, often with opposing and somewhat widely spaced branches, with the main axis and each branch terminating in a cruciate, sometimes verticillate, whorl of up to four phialides. Phialides are ampulliform to lageniform and 4.9–7.6 × 2.2–3.0 μm ((overline{x }) = 6 ± 0.7 × 2.5 ± 0.2, n = 50) and 1.5–2.5 μm ((overline{x }) = 1.5 ± 0.3) wide at the base (Fig. 5f–i,k,l). Conidia are 2.5–4 × 2.5–3.5 μm ((overline{x }) = 3 ± 0.3 × 3 ± 0.2, n = 50), yellow to green, smooth, and circular to ellipsoidal (Fig. 5j).On PDA, after 72 h, growth is 41–43 mm at 20 °C and 50–55 mm at 25 °C; and mycelium covers the plate after 5–6 days at 25 °C. Colonies show indistinct zonation. Mycelia are dense, opaque, and thick; hyphae are wide, sinuous and often form strands on the margin (Fig. 5c). Margin is thick and defined. Aerial hyphae are abundant and form a thick green downy mat. Conidiation forms abundantly within 4 days in broad concentric rings. Chlamydospores examined after 7 days are 5–9 × 5.5–8.5 μm ((overline{x }) = 6.5 ± 0.9 × 6.5 ± 0.9, n = 30), globose when terminal, smooth, and intercalary (Fig. 5m).On SNA, after 72 h, growth is 33–35 mm at 20 °C and 38–40 mm at 25 °C; and mycelium covers the plate after 7–8 days at 25 °C. Colonies show distinct zonation. Mycelia are thin and yellow to green; hyphae are wide and sinuous, with indistinct strands on the margin (Fig. 5d). Margin is thin and ill-defined. Aerial hyphae are slight, forming a thin green downy fluff appearing in the colony (Fig. 5e). Diffusing pigment was observed in a ring, and no distinct odor was noted. Conidiation is similar to CMD.Accepted species previously reported in ChinaTrichoderma alni Jaklitsch, Mycologia 100: 799. 2008 (Fig. 6).Figure 6Cultures and asexual morph of Trichoderma alni. (a–d). Cultures after 7 days at 25 °C [(a) on CMD; (b) on MEA; (c) on PDA; and (d) on SNA]. € Coilings of aerial hyphae (PDA, 6 days). (f–j,l). Conidiophores and phialides (CMD, 5–7 days). (k) Conidiation tuft (PDA, 7 days). (m) Conidia (CMD, 6 days). (n,o) Chlamydospores (PDA, 7 days). Scale bars: (e–j,l–o) = 10 μm; (k) = 2 mm.Full size imageDescription: Cultures and anamorph: Optimum growth at 25 °C on all media; no growth at 35 °C. On CMD, after 72 h, growth of 34–36 mm at 20 °C and 50–51 mm at 25 °C; and mycelium covers the plate after 5–6 days at 25 °C. Colonies show distinct zonation. Mycelia are loose and thin; hyphae are narrow and sinuous and often form strands on the margin (Fig. 6a). Aerial hyphae are slight and form a thin white to green downy, fluffy or floccose mat. No diffusing pigment or distinct odor is noted. Conidiophores are hyaline and thick, with side branches on several levels at the base of the elongations that are mostly paired and in right angles with phialides in whorls of 3–5. Phialides are 5.5–11.5 × 2–3.5 μm ((overline{x }) = 8 ± 1.4 × 2.5 ± 0.4, n = 50) and 1.5–2.5 μm ((overline{x }) = 2 ± 0.4) wide at the base, often short and wide, and ampulliform (Fig. 6f–j,l). Conidia are 3–4 × 2.5–3.5 μm ((overline{x }) = 3.5 ± 0.2 × 3 ± 0.2, n = 50), dark green, smooth, and ellipsoidal (Fig. 6m).On PDA, after 72 h, growth is 33–35 mm at 20 °C and 41–43 mm at 25 °C; and mycelium covers the plate after 6–7 days at 25 °C. Colonies show indistinct zonation. Mycelia are dense, opaque, and thick; hyphae are wide, sinuous and often form strands on the margin (Fig. 6c). Margin is thin and ill defined. Aerial hyphae are slight, coiled (Fig. 6e), forming a thin white to green downy, fluffy or floccose mat (Fig. 6k). Chlamydospores examined after 7 days are 6–9.5 × 5–8 μm ((overline{x }) = 7.5 ± 0.9 × 7 ± 0.9, n = 30), globose to oval when terminal, and smooth, and few are intercalary (Fig. 6n,o).On SNA, after 72 h, growth is 18–19 mm at 20 °C and 28–32 mm at 25 °C; and mycelium covers the plate after 6–7 days at 25 °C. Colonies show distinct zonation. Mycelia are thin and yellow to green; hyphae are wide and sinuous and show indistinct strands on the margin (Fig. 6d). Margin is thin and ill-defined. Aerial hyphae are slight and form a thin white downy, fluffy, or floccose mat appearing in distal parts of the colony. No diffusing pigment or distinct odor was noted. Conidiation is similar to CMD.Trichoderma harzianum Rifai, Mycol. Pap. 116: 38, 1969 (Fig. 7).Figure 7Cultures and asexual morph of Trichoderma harzianum. (a–d) Cultures after 7 days at 20 °C [(a) on CMD; (b) on MEA; (c) on PDA; and (d) on SNA]. (e) Conidiation tuft (CMD, 7 days). (f–j) Conidiophores and phialides (CMD, 5–7 days). (k) Conidia (CMD, 5 days). (l,m) Chlamydospores (PDA, 7 days). Scale bars: (e) = 2 mm; (f–m) = 10 μm.Full size imageDescription: Cultures and anamorph: optimal growth at 25 °C on all media. On CMD, after 72 h, growth is 34–38 mm at 20 °C and 46–53 mm at 25 °C; mycelium covers the plate after 5–6 days at 25 °C. Colonies show distinct zonation. Mycelia are loose and thin; hyphae are narrow, sinuous, and often form strands on the margin (Fig. 7a). Aerial hyphae are abundant and radiating and form thick green downy, fluffy, or floccose mats (Fig. 7e). No diffusing pigment, but fragrant odor noted. Conidiophores are pyramidal with opposing branches, with each branch terminating in a cruciate whorl of up to four or five phialides. Phialides are frequently solitary or in a whorl of three or four. Phialides are ampulliform to lageniform and often constricted below the tip to form a narrow neck of 4.5–8 × 2–3.5 μm ((overline{x }) = 6 ± 0.8 × 2.5 ± 0.3, n = 50) and 1–2.5 μm ((overline{x }) = 2 ± 0.3) wide at the base (Fig. 7f–j). Conidia are subglobose to ovoid, 3–4.5 × 2.5–3.3 μm ((overline{x }) = 3.5 ± 0.3 × 3 ± 0.2, n = 50), laurel-green to bright green, smooth, and ellipsoidal (Fig. 7k).On PDA, after 72 h, growth is 41–43 mm at 20 °C and 50–55 mm at 25 °C; and mycelium covers the plate after 5–6 days at 25 °C. Colonies show distinct zonation. Mycelia are dense, opaque, and thick; hyphae are wide and sinuous and often form strands on the margin (Fig. 7c). Margin is thick and ill defined. Aerial hyphae are abundant and radiating and form thick green downy, fluffy or floccose mats. Chlamydospores examined after 7 days are 5.5–9 × 5.5–9.0 μm ((overline{mathrm{x} }) = 7 ± 0.8 × 7 ± 0.8, n = 30), globose to oval when terminal and smooth, showing an almost unobserved intercalary (Fig. 7l,m).On SNA, after 72 h, growth is 33–35 mm at 20 °C and 38–40 mm at 25 °C; and mycelium covers the plate after 7–8 days at 25 °C. Colonies show distinct zonation. Mycelia are thin and green; hyphae are narrow and sinuous and show indistinct strands on the margin (Fig. 7d). Margin is thin and ill defined. Aerial hyphae are slight and form a thick downy, fluffy, or floccose mat appearing in the colony. No diffusing pigment or distinct fragrant odor was noted. Conidiation was similar to CMD.Trichoderma polysporum Rifai, Mycol. Pap. 116: 18, 1969 (Fig. 8).Figure 8Cultures and asexual morph of Trichoderma polysporum. (a–d) Cultures at 20 °C [(a) on CMD, 7 days; (b) on MEA, 15 days; (c) on PDA, 15 days; and (d) on SNA, 15 days]. (i) Conidiation tuft (PDA, 15 days). (e–h,j) Conidiophores and phialides (CMD, 5–7 days). (k) Chlamydospores (CMD, 7 days). (l) Conidia (PDA, 6 days). Scale bars: (i) = 2 mm; (e–h,j) = 10 μm.Full size imageDescription: Cultures and anamorph: optimal growth at 20 °C on all media, no growth at 35 °C. On CMD, after 72 h, growth is 14–16 mm at 20 °C and 9–12 mm at 25 °C; and mycelium covers the plate after 9–10 days at 20 °C. A colony is hyaline, thin and loose, with little mycelium on the agar surface, and it is indistinctly zonate but becomes zonate by conidiation in white tufts after 4–5 d and grass green to green after 6 days (Fig. 8a). Aerial hyphae are long and dense and forming little greenish aggregates that are granular to pulvinate. No pigment or odor. Conidiation noted after 4–5 days, and it is white to greenish, with sterile smooth to rough helical elongations in the distal zones from pustules. Conidiophores are hyaline and thick with side branches on several levels at the base of the elongations that are mostly paired and at right angles with phialides in whorls of 2–5. Phialides are 5–10.5 × 2.5–4 μm ((overline{x }) = 7 ± 1.9 × 3.5 ± 0.4, n = 50) and 2–4 μm ((overline{x }) = 3 ± 0.5) wide at the base, often short and wide and ampulliform (Fig. 8e–h,j). Conidia are 2.5–4 × 2–3 μm ((overline{x }) = 3.5 ± 0.4 × 2.5 ± 0.2, n = 50), hyaline, smooth, and ellipsoidal (Fig. 10l).On PDA, after 72 h, growth is 24–26 mm at 20 °C and 13–16 mm at 25 °C; and mycelium covers the plate after 8–9 days at 20 °C. A colony is densest, distinctly zonate, and grass green to spearmint green; mycelia are conspicuously dense; and surface hyphae form radial strands (Fig. 8c). Aerial hyphae are long and dense and form greenish aggregates that are granular to pulvinate (Fig. 8i). No diffusing pigment and odor. Chlamydospores examined after 7 days are 5.5–9 × 5–7.5 μm ((overline{x }) = 7 ± 0.9 × 6 ± 0.6, n = 30), globose to oval when terminal, and smooth, with an almost unobserved intercalary (Fig. 8k).On SNA, growth is approximately 7 mm/day at 20 °C and 5 mm/day at 25 °C; and mycelium covers the plate after 10 days at 20 °C. A colony is hyaline, thin, and loose, with little mycelium on the agar surface, not or indistinctly zonate, but becomes zonate by conidiation in white tufts after 4–5 days; and the margin is downy by long aerial hyphae, which degenerating/dissolving soon (Fig. 8d).Trichoderma pyramidale W. Jaklitsch & P. Chaverri, Mycologia 107: 581, 2015 (Fig. 9).Figure 9Cultures and asexual morph of Trichoderma pyramidale. (a–d) Cultures at 25 °C [(a) on CMD, 7 days; (b) on MEA, 4 days; (c) on PDA, 4 days; and (d) on SNA, 4 days]. (e) Conidiation tuft (PDA, 7 days). (f–j) Conidiophores and phialides (CMD, 5–7 days). (k) Conidia (CMD, 6 days). (l) Chlamydospores (PDA, 7 days). Scale bars: (e) = 2 mm; (f–l) = 10 μm.Full size imageDescription: Cultures and anamorph: optimal growth at 25 °C on all media, with little growth at 35 °C. On CMD, after 72 h, growth is 29–32 mm at 20 °C and 48–53 mm at 25 °C; and mycelium covers the plate after 5–6 days at 25 °C. Colonies show distinct zonation. Mycelium is loose and thin; hyphae are narrow, sinuous, and often form strands on the margin (Fig. 9a). Aerial hyphae are slight, forming a thin white to green downy, fluffy or floccose mat. Brown pigment is shown, but no distinct odor noted. Conidiophores are hyaline and thick with side branches on several levels at the base of the elongations that are mostly paired and at right angles with phialides in whorls of 3–5. Phialides are 5–9.5 × 2.5–3 μm ((overline{x }) = 7 ± 1.1 × 3 ± 0.3, n = 50) and 1–2.5 μm ((overline{x }) = 1.5 ± 0.3) wide at the base and often short, wide, and ampulliform (Fig. 9f–j). Conidia are 2.5–4 × 2.5–3.5 μm ((overline{x }) = 3.5 ± 0.3 × 3 ± 0.2, n = 50), green, smooth, and ellipsoidal (Fig. 9k).On PDA, after 72 h, growth is 41–43 mm at 20 °C and 50–55 mm at 25 °C; and mycelium covers the plate after 5–6 days at 25 °C. Colonies show indistinct zonation. Mycelia are dense, opaque, and thick; hyphae are wide, sinuous and often form strands on the margin (Fig. 9c). Margin is thin and ill defined. Aerial hyphae are slight and form a thin white to green downy, fluffy or floccose mat (Fig. 9e). Chlamydospores examined after 7 days are 5.5–10 × 5.5–10 μm ((overline{x }) = 7 ± 0.9 × 7 ± 0.9, n = 30), globose to oval when terminal or intercalary, and smooth (Fig. 9l).On SNA, after 72 h, growth is 33–35 mm at 20 °C and 38–40 mm at 25 °C; and mycelium covers the plate after 7–8 days at 25 °C. Colonies show distinct zonation. Mycelium is thin, yellow to green; hyphae are wide, sinuous, with indistinct strands on the margin (Fig. 9d). Margin is thin and ill defined. Aerial hyphae are slight and form a thin white downy, fluffy or floccose mat in distal parts of the colony. No diffusing pigment or distinct odor noted. Conidiation similar to CMD.Trichoderma rossicum Bissett et al., Canad. J. Bot. 81: 578, 2003 (Fig. 10).Figure 10Cultures and asexual morph of Trichoderma rossicum. (a–d) Cultures after 7 days at 25 °C [(a) on CMD; (b) on MEA; (c) on PDA; and (d) on SNA]. € Conidiation tuft (PDA, 7 days). (f–h,j,k) Conidiophores and phialides (CMD, 5–7 days). (i) Elongations (CMD, 6 days). (l,n) Conidia (CMD, 6 days). (m) Chlamydospores (PDA, 7 days). Scale bars: (e) = 2 mm; (f–n) = 10 μm.Full size imageDescription: Cultures and anamorph: optimal growth at 25 °C on all media. On CMD, growth of 10–11 mm/day at 20 °C and 15–17 mm/day at 25 °C; and mycelium covers the plate after 6–7 days at 20 °C. Colony is dense with a wavy margin, and the surface becomes distinctly zonate (Fig. 10a). Aerial hyphae are numerous, long, elongate, and villiform in the plate (Fig. 10i). No diffusing pigment or odor. Autolytic activity is variable, and coilings are scarce or inconspicuous. Conidiation noted after 3–4 days at 20 °C. Conidiation is effuse and in intense tufts that are hemispherical or irregular, and they show wide wheel grain banding that is gray green to deep green. Conidiophores radiate from the reticulum and are broad, straight, sinuous or helically twisted, show distally slightly pointed elongations, taper from the main axes to top branches, and present primary branches arranged in pairs or in whorls of 2–3, with secondary branches to solitary. Phialides are 4.5–14 × 2.5–4 μm ((overline{x }) = 7 ± 1.5 × 3.5 ± 0.3, n = 50) and 2–3.5 μm ((overline{x }) = 3 ± 0.4) wide at the base, ampulliform, and in whorls of 3–6 (Fig. 10f–h,j,k). Conidia are 3.5–5.5 × 2.5–4 μm ((overline{x }) = 4.5 ± 0.5 × 3 ± 0.2, n = 50), short cylindrical, and a gray color when single and pea green to yellow green in a group (Fig. 10l,n).On PDA, growth is 12–15 mm/day at 20 °C, 12–16 mm/day at 25 °C; and mycelium covers the plate after 4–5 days at 25 °C. Colony is denser with a wavy margin than that on CMD, and the surface is distinctly zonate (Fig. 10c). Aerial hyphae are numerous, long, and villiform to pulvinate in the plate. No diffusing pigment and odor (Fig. 10e). Autolytic activity is variable, coilings are scarce or inconspicuous. Chlamydospores examined after 7 days are 6.5–9.5 × 6–9 μm ((overline{x }) = 7 ± 1.0 × 7 ± 0.9, n = 30), terminal and intercalary, globose or ellipsoidal, and smooth (Fig. 10m).On SNA, growth is 8–13 mm/day at 20 °C and 8–12 mm/day at 25 °C; and mycelium covers the plate after 6–7 day at 25 °C. Colony is hyaline, thin and dense; and mycelium degenerate rapidly (Fig. 10d). Aerial hyphae are inconspicuous, autolytic activity is scant, and coilings are distinct. Conidiation noted after approximately 4 days and starts in white fluffy tufts spreading from the center to form concentric zones, and they compact to pustules with a white to greenish color. More

  • in

    Global habitat suitability modeling reveals insufficient habitat protection for mangrove crabs

    Valiela, I., Bowen, J. L. & York, J. K. Mangrove Forests: One of the World’s Threatened Major Tropical Environments: At least 35% of the area of mangrove forests has been lost in the past two decades, losses that exceed those for tropical rain forests and coral reefs, two other well-known threatened environments. Bioscience 51, 807–815. https://doi.org/10.1641/0006-3568(2001)051[0807:MFOOTW]2.0.CO;2 (2001).Article 

    Google Scholar 
    Kuenzer, C., Bluemel, A., Gebhardt, S., Quoc, T. V. & Dech, S. Remote sensing of mangrove ecosystems: A review. Remote Sens. 3, 1. https://doi.org/10.3390/rs3050878 (2011).Article 

    Google Scholar 
    Turschwell, M. P. et al. Multi-scale estimation of the effects of pressures and drivers on mangrove forest loss globally. Biol. Cons. 247, 108637. https://doi.org/10.1016/j.biocon.2020.108637 (2020).Article 

    Google Scholar 
    Millennium Ecosystem Assessment. Ecosystems and Human Well-being: Synthesis. (2005).Nagelkerken, I. et al. The habitat function of mangroves for terrestrial and marine fauna: A review. Aquat. Bot. 89, 155–185. https://doi.org/10.1016/j.aquabot.2007.12.007 (2008).Article 

    Google Scholar 
    Hamilton, S. E. & Casey, D. Creation of a high spatio-temporal resolution global database of continuous mangrove forest cover for the 21st century (CGMFC-21). Glob. Ecol. Biogeogr. 25, 729–738. https://doi.org/10.1111/geb.12449 (2016).Article 

    Google Scholar 
    Friess, D. A. et al. The state of the world’s Mangrove forests: Past, present, and future. Annu. Rev. Environ. Resour. 44, 89–115. https://doi.org/10.1146/annurev-environ-101718-033302 (2019).Article 

    Google Scholar 
    Zeng, Y., Friess, D. A., Sarira, T. V., Siman, K. & Koh, L. P. Global potential and limits of mangrove blue carbon for climate change mitigation. Curr. Biol. 31, 1737-1743.e1733. https://doi.org/10.1016/j.cub.2021.01.070 (2021).Article 
    CAS 

    Google Scholar 
    zu Ermgassen, P. S. E. et al. Fishers who rely on mangroves: Modelling and mapping the global intensity of mangrove-associated fisheries. Estuar. Coast. Shelf Sci. 247, 106975. https://doi.org/10.1016/j.ecss.2020.106975 (2020).Article 

    Google Scholar 
    Walters, A. D. et al. Do hotspots fall within protected areas? A geographic approach to planning analysis of regional freshwater biodiversity. Freshw. Biol. 64, 2046–2056. https://doi.org/10.1111/fwb.13394 (2019).Article 

    Google Scholar 
    Blasco, F., Saenger, P. & Janodet, E. Mangroves as indicators of coastal change. CATENA 27, 167–178. https://doi.org/10.1016/0341-8162(96)00013-6 (1996).Article 

    Google Scholar 
    Gilman, E. L., Ellison, J., Duke, N. C. & Field, C. Threats to mangroves from climate change and adaptation options: A review. Aquat. Bot. 89, 237–250. https://doi.org/10.1016/j.aquabot.2007.12.009 (2008).Article 

    Google Scholar 
    Hamilton, S. Assessing the role of commercial aquaculture in displacing mangrove forest. Bull. Mar. Sci. 89, 585–601 (2013).Article 

    Google Scholar 
    Lovelock, C. E. et al. The vulnerability of Indo-Pacific mangrove forests to sea-level rise. Nature 526, 559–563. https://doi.org/10.1038/nature15538 (2015).Article 
    ADS 
    CAS 

    Google Scholar 
    Richards Daniel, R. & Friess Daniel, A. Rates and drivers of mangrove deforestation in Southeast Asia, 2000–2012. Proc. Natl. Acad. Sci. 113, 344–349. https://doi.org/10.1073/pnas.1510272113 (2016).Article 
    ADS 
    CAS 

    Google Scholar 
    Appeltans, W. et al. The magnitude of global marine species diversity. Curr. Biol. 22, 2189–2202. https://doi.org/10.1016/j.cub.2012.09.036 (2012).Article 
    CAS 

    Google Scholar 
    Ward, R. D., Friess, D. A., Day, R. H. & MacKenzie, R. A. Impacts of climate change on mangrove ecosystems: A region by region overview. Ecosyst. Health Sustain. 2, e01211. https://doi.org/10.1002/ehs2.1211 (2016).Article 

    Google Scholar 
    Van der Stocken, T., Vanschoenwinkel, B., Carroll, D., Cavanaugh, K. C. & Koedam, N. Mangrove dispersal disrupted by projected changes in global seawater density. Nat. Clim. Chang. 12, 685–691. https://doi.org/10.1038/s41558-022-01391-9 (2022).Article 
    ADS 

    Google Scholar 
    Alongi, D. M. The impact of climate change on Mangrove forests. Curr. Clim. Change Rep. 1, 30–39. https://doi.org/10.1007/s40641-015-0002-x (2015).Article 

    Google Scholar 
    Giri, C. et al. Status and distribution of mangrove forests of the world using earth observation satellite data. Glob. Ecol. Biogeogr. 20, 154–159. https://doi.org/10.1111/j.1466-8238.2010.00584.x (2011).Article 

    Google Scholar 
    Kristensen, E. Mangrove crabs as ecosystem engineers; with emphasis on sediment processes. J. Sea Res. 59, 30–43. https://doi.org/10.1016/j.seares.2007.05.004 (2008).Article 
    ADS 

    Google Scholar 
    Penha-Lopes, G. et al. Are fiddler crabs potentially useful ecosystem engineers in mangrove wastewater wetlands?. Mar. Pollut. Bull. 58, 1694–1703. https://doi.org/10.1016/j.marpolbul.2009.06.015 (2009).Article 
    CAS 

    Google Scholar 
    Sharifian, S., Kamrani, E. & Saeedi, H. Global biodiversity and biogeography of mangrove crabs: Temperature, the key driver of latitudinal gradients of species richness. J. Therm. Biol 92, 102692. https://doi.org/10.1016/j.jtherbio.2020.102692 (2020).Article 
    CAS 

    Google Scholar 
    Phillips, S. J., Anderson, R. P. & Schapire, R. E. Maximum entropy modeling of species geographic distributions. Ecol. Model. 190, 231–259. https://doi.org/10.1016/j.ecolmodel.2005.03.026 (2006).Article 

    Google Scholar 
    Guisan, A. & Zimmermann, N. E. Predictive habitat distribution models in ecology. Ecol. Model. 135, 147–186. https://doi.org/10.1016/S0304-3800(00)00354-9 (2000).Article 

    Google Scholar 
    Guisan, A. et al. Predicting species distributions for conservation decisions. Ecol. Lett. 16, 1424–1435. https://doi.org/10.1111/ele.12189 (2013).Article 

    Google Scholar 
    Guisan, A., Thuiller, W. & Zimmermann, N. E. Habitat Suitability and Distribution Models: With Applications in R. (Cambridge University Press, 2017).Luan, J., Zhang, C., Xu, B., Xue, Y. & Ren, Y. Modelling the spatial distribution of three Portunidae crabs in Haizhou Bay, China. PLoS ONE 13, e0207457. https://doi.org/10.1371/journal.pone.0207457 (2018).Article 
    CAS 

    Google Scholar 
    Kafash, A. et al. The Gray Toad-headed Agama, Phrynocephalus scutellatus, on the Iranian Plateau: The degree of niche overlap depends on the phylogenetic distance. Zool. Middle East 64, 47–54. https://doi.org/10.1080/09397140.2017.1401309 (2018).Article 

    Google Scholar 
    Yousefi, M., Shabani, A. A. & Azarnivand, H. Reconstructing distribution of the Eastern Rock Nuthatch during the Last Glacial Maximum and Last Interglacial. Avian Biol. Res. 13, 3–9. https://doi.org/10.1177/1758155919874537 (2019).Article 

    Google Scholar 
    De Rock, P. et al. Predicting large-scale habitat suitability for cetaceans off Namibia using MinxEnt. Mar. Ecol. Prog. Ser. 619, 149–167 (2019).Article 
    ADS 

    Google Scholar 
    Saeedi, H., Basher, Z. & Costello, M. J. Modelling present and future global distributions of razor clams (Bivalvia: Solenidae). Helgol. Mar. Res. 70, 23. https://doi.org/10.1186/s10152-016-0477-4 (2016).Article 

    Google Scholar 
    Bosso, L. et al. The rise and fall of an alien: why the successful colonizer Littorina saxatilis failed to invade the Mediterranean Sea. Biol. Invas. 24, 3169–3187. https://doi.org/10.1007/s10530-022-02838-y (2022).Article 

    Google Scholar 
    Moradmand, M. & Yousefi, M. Ecological niche modelling and climate change in two species groups of huntsman spider genus Eusparassus in the Western Palearctic. Sci. Rep. 12, 4138. https://doi.org/10.1038/s41598-022-08145-9 (2022).Article 
    ADS 
    CAS 

    Google Scholar 
    Compton, T. J., Leathwick, J. R. & Inglis, G. J. Thermogeography predicts the potential global range of the invasive European green crab (Carcinus maenas). Divers. Distrib. 16, 243–255. https://doi.org/10.1111/j.1472-4642.2010.00644.x (2010).Article 

    Google Scholar 
    Kafash, A., Ashrafi, S. & Yousefi, M. Modeling habitat suitability of bats to identify high priority areas for field monitoring and conservation. Environ. Sci. Pollut. Res. 29, 25881–25891. https://doi.org/10.1007/s11356-021-17412-7 (2022).Article 

    Google Scholar 
    Leathwick, J. et al. Novel methods for the design and evaluation of marine protected areas in offshore waters. Conserv. Lett. 1, 91–102. https://doi.org/10.1111/j.1755-263X.2008.00012.x (2008).Article 

    Google Scholar 
    Charrua, A. B., Bandeira, S. O., Catarino, S., Cabral, P. & Romeiras, M. M. Assessment of the vulnerability of coastal mangrove ecosystems in Mozambique. Ocean Coast. Manag. 189, 105145. https://doi.org/10.1016/j.ocecoaman.2020.105145 (2020).Article 

    Google Scholar 
    Khajoei Nasab, F., Mehrabian, A. & Mostafavi, H. Mapping the current and future distributions of Onosma species endemic to Iran. J. Arid Land 12, 1031–1045. https://doi.org/10.1007/s40333-020-0080-z (2020).Article 

    Google Scholar 
    Allyn, A. J. et al. Comparing and synthesizing quantitative distribution models and qualitative vulnerability assessments to project marine species distributions under climate change. PLoS ONE 15, e0231595. https://doi.org/10.1371/journal.pone.0231595 (2020).Article 
    CAS 

    Google Scholar 
    Makki, T., Mostafavi, H., Matkan, A. & Aghighi, H. Modelling Climate-Change Impact on the Spatial Distribution of Garra Rufa (Heckel, 1843) (Teleostei: Cyprinidae). Iran. J. Sci. Technol. Trans. A: Sci. 45, 795–804. https://doi.org/10.1007/s40995-021-01088-2 (2021).Article 

    Google Scholar 
    Bolon, I. et al. What is the impact of snakebite envenoming on domestic animals? A nation-wide community-based study in Nepal and Cameroon. Toxicon: X 9–10, 100068. https://doi.org/10.1016/j.toxcx.2021.100068 (2021).Sharma, A., Dubey, V. K., Johnson, J. A., Rawal, Y. K. & Sivakumar, K. Is there always space at the top? Ensemble modeling reveals climate-driven high-altitude squeeze for the vulnerable snow trout Schizothorax richardsonii in Himalaya. Ecol. Ind. 120, 106900. https://doi.org/10.1016/j.ecolind.2020.106900 (2021).Article 

    Google Scholar 
    Yousefi, M., Naderloo, R. & Keikhosravi, A. Freshwater crabs of the Near East: Increased extinction risk from climate change and underrepresented within protected areas. Glob. Ecol. Conserv. 38, e02266. https://doi.org/10.1016/j.gecco.2022.e02266 (2022).Article 

    Google Scholar 
    Sheykhi Ilanloo, S. et al. Applying opportunistic observations to model current and future suitability of the Kopet Dagh Mountains for a Near Threatened avian scavenger. Avian Biol. Res. 14, 18–26. https://doi.org/10.1177/1758155920962750 (2020).Article 

    Google Scholar 
    Naderloo, R. Grapsoid crabs (Decapoda: Brachyura: Thoracotremata) of the Persian Gulf and the Gulf of Oman. Zootaxa 3048(1), 1. https://doi.org/10.11646/zootaxa.3048.1.1 (2011).Article 

    Google Scholar 
    Naderloo, R. Atlas of crabs of the Persian Gulf. (2017).Innocenti, G., Schubart, C. D. & Fratini, S. Description of Metopograpsus cannicci, new species, a pseudocryptic crab species from East Africa and the Western Indian Ocean (Decapoda: Brachyura: Grapsidae). Raffles Bull. Zool. (RBZ) 68, 619–628 (2020).
    Google Scholar 
    Hemmati, M. R., Shojaei, M. G., Taheri Mirghaed, A., Mashhadi Farahani, M. & Weigt, M. Food sources for camptandriid crabs in an arid mangrove ecosystem of the Persian Gulf: a stable isotope approach. Isotop. Environ. Health Stud. 57, 457–469. https://doi.org/10.1080/10256016.2021.1925665 (2021).Article 
    CAS 

    Google Scholar 
    Tittensor, D. P. et al. Global patterns and predictors of marine biodiversity across taxa. Nature 466, 1098–1101. https://doi.org/10.1038/nature09329 (2010).Article 
    ADS 
    CAS 

    Google Scholar 
    Kordas, R. L., Harley, C. D. G. & O’Connor, M. I. Community ecology in a warming world: The influence of temperature on interspecific interactions in marine systems. J. Exp. Mar. Biol. Ecol. 400, 218–226. https://doi.org/10.1016/j.jembe.2011.02.029 (2011).Article 

    Google Scholar 
    Hall, S. & Thatje, S. Temperature-driven biogeography of the deep-sea family Lithodidae (Crustacea: Decapoda: Anomura) in the Southern Ocean. Polar Biol. 34, 363–370. https://doi.org/10.1007/s00300-010-0890-0 (2011).Article 

    Google Scholar 
    Hannah, L. Climate Change Biology. Academic Press (2015).Ali, H. et al. Expanding or shrinking? range shifts in wild ungulates under climate change in Pamir-Karakoram mountains, Pakistan. PLoS ONE 16, e0260031. https://doi.org/10.1371/journal.pone.0260031 (2022).Article 
    CAS 

    Google Scholar 
    Yousefi, M. et al. Climate change is a major problem for biodiversity conservation: A systematic review of recent studies in Iran. Contemp. Probl. Ecol. 12, 394–403. https://doi.org/10.1134/S1995425519040127 (2019).Article 

    Google Scholar 
    Doney, S. C. et al. Climate Change Impacts on Marine Ecosystems. Ann. Rev. Mar. Sci. 4, 11–37. https://doi.org/10.1146/annurev-marine-041911-111611 (2011).Article 

    Google Scholar 
    Worm, B. & Lotze, H. K. in Climate Change (Second Edition) (ed Trevor M. Letcher) 195–212 (Elsevier, 2016).Ramírez, F., Afán, I., Davis, L. S. & Chiaradia, A. Climate impacts on global hot spots of marine biodiversity. Sci. Adv. 3, e1601198. https://doi.org/10.1126/sciadv.1601198 (2017).Article 
    ADS 

    Google Scholar 
    Worm, B. et al. Impacts of Biodiversity Loss on Ocean Ecosystem Services. Science 314, 787–790. https://doi.org/10.1126/science.1132294 (2006).Article 
    ADS 
    CAS 

    Google Scholar 
    Lester, S. E. et al. Biological effects within no-take marine reserves: a global synthesis. Mar. Ecol. Prog. Ser. 384, 33–46 (2009).Article 
    ADS 

    Google Scholar 
    Daru, B. H. & le Roux, P. C. Marine protected areas are insufficient to conserve global marine plant diversity. Glob. Ecol. Biogeogr. 25, 324–334. https://doi.org/10.1111/geb.12412 (2016).Article 

    Google Scholar 
    Sala, E. et al. Protecting the global ocean for biodiversity, food and climate. Nature https://doi.org/10.1038/s41586-021-03371-z (2021).Article 

    Google Scholar 
    Embling, C. B. et al. Using habitat models to identify suitable sites for marine protected areas for harbour porpoises (Phocoena phocoena). Biol. Cons. 143, 267–279. https://doi.org/10.1016/j.biocon.2009.09.005 (2010).Article 

    Google Scholar 
    Magris, R. A. & Déstro, G. F. G. Predictive modeling of suitable habitats for threatened marine invertebrates and implications for conservation assessment in Brazil. Braz. J. Oceanogr. 58, 57–68 (2010).Article 

    Google Scholar 
    Welch, H., Pressey, R. L. & Reside, A. E. Using temporally explicit habitat suitability models to assess threats to mobile species and evaluate the effectiveness of marine protected areas. J. Nat. Conserv. 41, 106–115. https://doi.org/10.1016/j.jnc.2017.12.003 (2018).Article 

    Google Scholar 
    Rhoden, C. M., Peterman, W. E. & Taylor, C. A. Maxent-directed field surveys identify new populations of narrowly endemic habitat specialists. PeerJ 5, e3632–e3632. https://doi.org/10.7717/peerj.3632 (2017).Article 

    Google Scholar 
    Ancillotto, L., Mori, E., Bosso, L., Agnelli, P. & Russo, D. The Balkan long-eared bat (Plecotus kolombatovici) occurs in Italy—First confirmed record and potential distribution. Mamm. Biol. 96, 61–67. https://doi.org/10.1016/j.mambio.2019.03.014 (2019).
    Article 

    Google Scholar 
    Imtiyaz, B. B., Sweta, P. D., Prakash, K. K. Threats to marine biodiversity. Mar. Biodivers.: Present Status Prospects (2011).Robinson, N. M., Nelson, W. A., Costello, M. J., Sutherland, J. E. & Lundquist, C. J. A systematic review of marine-based species distribution models (SDMs) with recommendations for best practice. Front. Mar. Sci. 4, 421 (2017).Article 

    Google Scholar 
    Fabri-Ruiz, S., Danis, B., David, B. & Saucède, T. Can we generate robust species distribution models at the scale of the Southern Ocean?. Divers. Distrib. 25, 21–37. https://doi.org/10.1111/ddi.12835 (2019).Article 

    Google Scholar 
    Maxwell, D. L., Stelzenmüller, V., Eastwood, P. D. & Rogers, S. I. Modelling the spatial distribution of plaice (Pleuronectes platessa), sole (Solea solea) and thornback ray (Raja clavata) in UK waters for marine management and planning. J. Sea Res. 61, 258–267. https://doi.org/10.1016/j.seares.2008.11.008 (2009).Article 
    ADS 

    Google Scholar 
    Marshall, C. E., Glegg, G. A. & Howell, K. L. Species distribution modelling to support marine conservation planning: The next steps. Mar. Policy 45, 330–332. https://doi.org/10.1016/j.marpol.2013.09.003 (2014).Article 

    Google Scholar 
    GBIF. GBIF Occurrence Download https://doi.org/10.15468/dl.khpu28. GBIF (2021).Spalding, M. D. et al. Marine ecoregions of the world: A bioregionalization of coastal and shelf areas. Bioscience 57, 573–583. https://doi.org/10.1641/B570707 (2007).Article 

    Google Scholar 
    Basher, Z., Bowden, D. A. & Costello, M. J. Global marine environment datasets (GMED). World Wide Web Electron. Publ. 14, 1 (2018).
    Google Scholar 
    Barnes, D. Ecology of subtropical hermit crabs in SW Madagascar: short-range migrations. Mar. Biol. 142, 549–557. https://doi.org/10.1007/s00227-002-0968-5 (2003).Article 

    Google Scholar 
    Naimullah, M. et al. Association of environmental factors in the Taiwan Strait with distributions and habitat characteristics of three swimming crabs. Remote Sens. 12, 1. https://doi.org/10.3390/rs12142231 (2020).Article 

    Google Scholar 
    Malvé, M. E., Rivadeneira, M. M. & Gordillo, S. Northward range expansion of the European green crab Carcinus maenas in the SW Atlantic: a synthesis after ~20 years of invasion history. bioRxiv, 2020.2011.2004.368761, doi:https://doi.org/10.1101/2020.11.04.368761 (2020).Merow, C., Smith, M. J. & Silander, J. A. Jr. A practical guide to MaxEnt for modeling species’ distributions: what it does, and why inputs and settings matter. Ecography 36, 1058–1069. https://doi.org/10.1111/j.1600-0587.2013.07872.x (2013).Article 

    Google Scholar 
    Naimi, B. & Araújo, M. B. sdm: a reproducible and extensible R platform for species distribution modelling. Ecography 39, 368–375. https://doi.org/10.1111/ecog.01881 (2016).Article 

    Google Scholar 
    Team, R. C. R: A Language and Environment for Statistical Computing (2020).Fielding, A. H. & Bell, J. F. A review of methods for the assessment of prediction errors in conservation presence/absence models. Environ. Conserv. 24, 38–49. https://doi.org/10.1017/S0376892997000088 (1997).Article 

    Google Scholar 
    Swets John, A. Measuring the Accuracy of Diagnostic Systems. Science 240, 1285–1293. https://doi.org/10.1126/science.3287615 (1988).Article 
    ADS 
    MathSciNet 
    MATH 

    Google Scholar 
    Phillips, S. J., Anderson, R. P., Dudík, M., Schapire, R. E. & Blair, M. E. Opening the black box: an open-source release of Maxent. Ecography 40, 887–893. https://doi.org/10.1111/ecog.03049 (2017).Article 

    Google Scholar 
    Hijmans, R. J. raster: Geographic Data Analysis and Modeling. R package version 3.3–7 (2020).UNEP-WCMC and IUCN. Protected Planet: The World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM). UNEP-WCMC and IUCN (2021). More

  • in

    Improving access to aquatic foods

    Bennett, A. et al. Nat. Food https://doi.org/10.1038/s43016-022-00642-4 (2022).Article 

    Google Scholar 
    Simmance, F. A. et al. Nat. Commun. 3, 174 (2022).
    Google Scholar 
    Kolding, J., van Zwieten, P., Martin, F., Funge-Smith, S. & Poulain, F. Freshwater Small Pelagic Fish and Their Fisheries in the Major African Lakes and Reservoirs in Relation to Food Security and Nutrition (Food and Agriculture Organization of the United Nations, 2019).Pradhan, S. K., Nayak, P. K. & Armitage, D. Curr. Res. Environ. Sustain. 4, 100128 (2022).Article 

    Google Scholar 
    Byrd, K. A., Pincus, L., Pasqualino, M. M., Muzofa, F. & Cole, S. M. Matern. Child Nutr. 17, e13192 (2021).Article 

    Google Scholar 
    Chiwaula, L. S., Chirwa, G. C., Binauli, L. S., Banda, J. & Nagoli, J. Agric. Food Econ. 6, 1–15 (2018).Article 

    Google Scholar 
    Cole, S. M. et al. Ecol. Soc. 23, 18 (2018).Article 

    Google Scholar 
    Manyungwa, C. L., Hara, M. M. & Chimatiro, S. K. Marit. Stud. 18, 275–285 (2019).Article 

    Google Scholar 
    Coates, J. et al. Food Policy 81, 82–94 (2018).Article 

    Google Scholar 
    Stevens, G. A. et al. Lancet Glob. Health 10, e1590–e1599 (2022).Article 

    Google Scholar 
    Hicks, C. C. et al. Nat. Food 3, 851–861 (2022).Article 

    Google Scholar  More