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    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

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    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

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    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

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    Ant milk: The mysterious fluid that helps them thrive

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    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

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    Seasonal variation in daily activity patterns of snow leopards and their prey

    Lima, S. L. & Dill, L. M. Behavioral decisions made under the risk of predation: A review and prospectus. Can. J. Zool. 68, 619–640 (1990).Article 

    Google Scholar 
    Ordiz, A., Stoen, O. G., Delibes, M. & Swenson, J. E. Predators or prey? Spatio-temporal discrimination of human-derived risk by brown bears. Oecologia 166, 59–67 (2011).Article 
    ADS 

    Google Scholar 
    Glass, T. W., Breed, G. A., Robards, M. D., Williams, C. T. & Kielland, K. Trade-off between predation risk and behavioural thermoregulation drives resting behaviour in a cold-adapted mesocarnivore. Anim. Behav. 175, 163–174 (2021).Article 

    Google Scholar 
    Daan, S. & Aschoff, J. Circadian rhytms of locomotor activity in captive birds and mammals: Their variation with seasons and latitude. Oecologia 18, 269–316 (1975).Article 
    ADS 

    Google Scholar 
    Kronfeld-Schor, N. & Dayan, T. Partitioning of time as an ecological resource. Annu. Rev. Ecol. Evol. Syst. 34, 153–181 (2003).Article 

    Google Scholar 
    Garcia, R. A., Cabeza, M., Rahbek, C. & Araujo, M. B. Multiple dimensions of climate change and their implications for biodiversity. Science 344, 1247579 (2014).Article 

    Google Scholar 
    Curio, E. The Ethology of Predation (Springer-Verlag, 1976).Book 

    Google Scholar 
    Linkie, M. & Ridout, M. S. Assessing tiger-prey interactions in Sumatran rainforests. J. Zool. 284, 224–229 (2011).Article 

    Google Scholar 
    Heurich, M. et al. Activity patterns of Eurasian lynx are modulated by light regime and individual traits over a wide latitudinal range. PLoS ONE 9, e114143 (2014).Article 
    ADS 

    Google Scholar 
    Harmsen, B. J., Foster, R. J., Silver, S. C., Ostro, L. E. T. & Doncaster, C. P. Jaguar and puma activity patterns in relation to their main prey. Mamm. Biol. 76, 320–324 (2011).Article 

    Google Scholar 
    Foster, V. C. et al. Jaguar and puma activity patterns and predator-prey interactions in four Brazilian biomes. Biotropica 45, 373–379 (2013).Article 

    Google Scholar 
    Theuerkauf, J. et al. Daily patterns and duration of wolf activity in the Bialowieza forest, Poland. J. Mammal. 84, 243–253 (2003).Article 

    Google Scholar 
    Hebblewhite, M., Merrill, E. H. & McDonald, T. L. Spatial decomposition of predation risk usign resource selection functions: An example in a wolf-elk predator-prey system. Oikos 111, 101–111 (2005).Article 

    Google Scholar 
    Balme, G., Hunter, L. & Slotow, R. Feeding habitat selection by hunting leopards Panthera pardus in a woodland Savanna: Prey catchability versus abundance. Anim. Behav. 74, 589–598 (2007).Article 

    Google Scholar 
    Smith, J. A. et al. Where and when to hunt? Decomposing predation success of an ambush carnivore. Ecology 101, e03172 (2020).Article 

    Google Scholar 
    Hopcraft, J. G. C., Sinclair, A. R. E. & Packer, C. Planning for success: Serengeti lions seek prey accessibility rather than abundance. J. Anim. Ecol. 74, 559–566 (2005).Article 

    Google Scholar 
    Theuerkauf, J. What drives wolves: Fear or hunger? Humans, diet, climate and wolf activity patterns. Ethology 115, 649–657 (2009).Article 

    Google Scholar 
    Funston, P. J., Mills, M. G. & Biggs, H. C. Factors affecting the hunting success of male and female lions in the Kruger National Park. J. Zool. 253, 419–431 (2001).Article 

    Google Scholar 
    Schaller, G. The Serengeti lion (The University of Chicago Press, IL, 1972).
    Google Scholar 
    Bailey, T. N. The African Leopard, Ecology and Behaviour of a Solitary Felid (The Blackburn Press, 1993).Book 

    Google Scholar 
    Jenny, D. & Zuberbühler, K. Hunting behaviour in West African forest leopards. Afr. J. Ecol. 43, 197–200 (2005).Article 

    Google Scholar 
    Packer, C., Swanson, A., Ikanda, D. & Kushnir, H. Fear of darkness, the full moon and the nocturnal ecology of African lions. PLoS ONE 6, e22285 (2011).Article 
    ADS 
    CAS 

    Google Scholar 
    Palmer, M. S., Fieberg, J., Swanson, A., Kosmala, M. & Packer, C. A “dynamic” landscape of fear: Prey responses to spatiotemporal variations in predation risk across the lunar cycle. Ecol. Letters 20, 1364–1373 (2017).Article 
    CAS 

    Google Scholar 
    Steinmetz, R., Seuaturien, N. & Chutipong, W. Tigers, leopards, and dholes in a half-empty forest: Assessing species interactions in a guild of threatened carnivores. Biol. Cons. 163, 68–78 (2013).Article 

    Google Scholar 
    Carter, N., Jasny, M., Gurung, B. & Liu, J. Impacts of people and tigers on leopard spatiotemporal activity patterns in a global biodiversity hotspot. Global Ecol. Conserv. 3, 149–162 (2015).Article 

    Google Scholar 
    George, S. L. & Crooks, K. R. Recreation and large mammal activity in an urban nature reserve. Biol. Cons. 133, 107–117 (2006).Article 

    Google Scholar 
    Beltrán, J. F. & Delibes, M. Environmental determinants of circadian activity of free-ranging Iberian lynxes. J. Mammal. 75, 382–393 (1994).Article 

    Google Scholar 
    McNab, B. K. The standard energetics of mammalian carnivores: Felidae and Hyaenidae. Sikes Can. J. Zool. 78, 2227–2239 (2000).Article 

    Google Scholar 
    Mishra, C. et al. Increasing risks for emerging infectious diseases within a rapidly changing High Asia. Ambio 51, 494–507 (2022).Article 

    Google Scholar 
    Mishra, C., Redpath, S. M. & Suryawanshi, K. R. Livestock predation by snow leopards: Conflicts and the search for solutions. In Snow Leopards (eds McCarthy, T. M. & Mallon, D.) 59–67 (Academic Press, 2016).Chapter 

    Google Scholar 
    Farrington, J. D., and J. Li. 2016. Climate change impacts on snow leopard range. In: McCarthy, T.M., Mallon, D., editors. Snow Leopards. Academic Press.Jackson, R. Home Range, Movements and Habitat use of Snow Leopard in Nepal (Dissertation niversity of London, London, 1996).
    Google Scholar 
    McCarthy, T. M., Fuller, T. K. & Munkhtsog, B. Movements and activities of snow leopards in Southwestern Mongolia. Biol. Cons. 124, 527–537 (2005).Article 

    Google Scholar 
    Salvatori, M. et al. Co-occurrence of snow leopard, wolf and Siberian ibex under livestock encroachment into protected areas across the Mongolian Altai. Biol. Cons. 261, 109294 (2021).Article 

    Google Scholar 
    Rode, J. et al. Population monitoring of snow leopards using camera trapping in Naryn state nature reserve, Kyrgyzstan, between 2016 and 2019. Global Ecol. Conserv. 31, e01850 (2021).Article 

    Google Scholar 
    Sharma, R. K. et al. Spatial variation in population-density of snow leopards in a multiple use landscape in Spiti Valley Trans-Himalay. PLoS ONE 16, e0250900 (2021).Article 
    CAS 

    Google Scholar 
    Kachel, S. M., Karimov, K. & Wirsing, A. J. Predator niche overlap and partitioning and potential interactions in the mountains of Central Asia. J. Mammal. 103, 1019–1029 (2022).Article 

    Google Scholar 
    Johansson, Ö., Simms, A. & McCarthy, T. M. From VHF to satellite GPS collars: Advancements in snow leopard telemetry. In Snow leopards (eds McCarthy, T. M. & Mallon, D.) p355-365 (Academic Press, 2016).Chapter 

    Google Scholar 
    Johansson, Ö. et al. Snow leopard predation in a livestock dominated landscape in Mongolia. Biol. Cons. 184, 251–258 (2015).Article 

    Google Scholar 
    Havmøller, R. W., Jacobsen, N. S., Scharff, N., Rovero, F. & Zimmermann, F. Assessing the activity pattern overlap among leopards (Panthera pardus), potential prey and competitors in a complex landscape in Tanzania. J. Zool. 311, 175–182 (2020).Article 

    Google Scholar 
    Kitchener, A. C., Van Valkenburgh, B. & Yamaguchi, N. Felid form and function. In Biology and Conservation of Wild Felids (eds MacDonald, D. W. & Loveridge, A. J.) 83–106 (Oxford University Press, 2010).
    Google Scholar 
    Fuglesteg, B. N., Haga, Ø. E., Folkow, L. P., Fuglei, E. & Blix, A. S. Seasonal variations in basal metabolic rate, lower critical temperature and responses to temporary starvation in the arctic fox (Alopex lagopus) from Svalbard. Polar Biol. 29, 308–319 (2005).Article 

    Google Scholar 
    Doris, P. A. & Baker, M. A. Effect of dehydration on thermoregulation in cats exposed to high ambient temperatures. J. Appl. Physiol. 51, 46–54 (1981).Article 
    CAS 

    Google Scholar 
    Forrest, J. L. et al. Conservation and climate change: Assessing the vulnerability of snow leopard habitat to treeline shift in the Himalaya. Biol. Cons. 150, 129–135 (2012).Article 

    Google Scholar 
    Sharma, R. K., Bhatnagar, Y. V. & Mishra, C. Does livestock benefit or harm snow leopards?. Biol. Cons. 190, 8–13 (2015).Article 

    Google Scholar 
    Samelius, G. et al. Keeping predators out: Testing fences to reduce livestock depredation at night-time corrals. Oryx 55, 466–472 (2021).Article 

    Google Scholar 
    Hebblewhite, M. & Merrill, E. Modelling wildlife-human relationships for social species with mixed-effects resource selection models. J. Appl. Ecol. 45, 834–844 (2007).Article 

    Google Scholar 
    Johansson, Ö., Malmsten, J., Mishra, C., Lkhagvajav, P. & McCarthy, T. Reversible immobilization of free-ranging snow leopards (Panthera uncia) with a combination of medetomidine and tiletamine-zolazepam. J. Wildl. Dis. 49, 338–346 (2013).Article 

    Google Scholar 
    Johansson, Ö., Kachel, S. & Weckworth, B. Guidelines for telemetry studies on snow leopards. Animals 12, 1663 (2022).Article 

    Google Scholar 
    Bjørneraas, K., Van Moorter, B., Rolandsen, C. M. & Herfindal, I. Screening global positioning system location data for errors using animal movement characteristics. J. Wildl. Manag. 74, 1361–1366 (2010).Article 

    Google Scholar 
    Pålsson O. 2022. Maternal behaviour of the snow leopard (Panthera uncial). MSc thesis. Uppsala University, Uppsala; Sweden https://www.diva-portal.org/smash/get/diva2:1668965/FULLTEXT01.pdf.du Sert, N. P. et al. Reporting animal research: Explanation and elaboration for the ARRIVE guidelines 20. PLoS Biol. 18, e3000411 (2020).Article 

    Google Scholar 
    Nygren, E. 2015. Activity patterns of snow leopards (Panthera uncia) at their kill sites. MSc thesis, Swedish University of Agricultural Sciences, Uppsala, Sweden. https://stud.epsilon.slu.se/8109/1/nygren_e_150625.pdf.Johansson, Ö. et al. Land sharing is essential for snow leopard conservation. Biol. Cons. 203, 1–7 (2016).Article 

    Google Scholar 
    Johansson, Ö. et al. The timing of breeding and independence for snow leopard females and their cubs. Mamm. Biol. 101, 173–180 (2021).Article 

    Google Scholar 
    Nouvellet, P., Rasmussen, G. S. A., Macdonald, D. W., Courchamp, F. & Braae, A. Noisy clocks and silent sunrises: Measurement methods of daily activity pattern. J. Zool. 286, 179–184 (2012).Article 

    Google Scholar 
    Ridout, M. S. & Linkie, M. Estimating overlap of daily activity patterns from camera trap data. J. Agric. Biol. Environ. Stat. 14, 322–337 (2009).Article 
    MathSciNet 
    MATH 

    Google Scholar 
    R Development core team. 2019. R: A language and environment for statistical computing. R foundation for statistical computing Vienna, Austria. www.R-project.org/.Wood, S. N. Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models. J. Roy. Stat. Soc. B 73, 3–36 (2011).Article 
    MathSciNet 
    MATH 

    Google Scholar  More

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    Nature’s biggest news stories of 2022

    Russia invades UkraineThe global science community was quick to condemn Russian’s invasion of Ukraine in February. Research organizations moved fast to cut ties with Russia, stopping funding and collaborations, and journals came under pressure to boycott Russian authors.The situation escalated when Russian forces attacked Europe’s largest nuclear power plant, Zaporizhzhia, in March, prompting fears of a nuclear accident. Russian troops continue to occupy the power plant. Since the invasion began, thousands of civilians have been killed and millions displaced; many others, including scientists, have fled the country.The war has affected research in space and climate science, disrupted fieldwork and played a significant part in the global energy crisis. The invasion could also precipitate a new era for European defence research.JWST delights astronomers

    Stephans Quintet, a grouping of five galaxies, taken by NASA’s James Webb Space Telescope.Credit: NASA, ESA, CSA, and STScI via Getty

    NASA’s James Webb Space Telescope (JWST) — the most complex telescope ever built — reached its destination in space in January after decades of planning. In July, astronomers were awed by the telescope’s first image — of thousands of distant galaxies in the constellation Volans. Since then, the US$10-billion observatory has captured a steady stream of spectacular images, and astronomers have been working feverishly on early data. Insights include detailed observations of an exoplanet, and leading contenders for the most distant galaxy ever seen.NASA also decided not to rename the telescope, despite calls from some astronomers to do so because the telescope’s namesake, a former NASA administrator, held high-ranking government positions in the 1950s and 1960s, when the United States systematically fired gay and lesbian government employees. A NASA investigation “found no evidence that Webb was either a leader or proponent of firing government employees for their sexual orientation”, the agency said in a statement in November.AI predicts protein structuresResearchers announced in July that they had used the revolutionary artificial-intelligence (AI) network AlphaFold to predict the structures of more than 200 million proteins from roughly one million species, covering almost every known protein from all organisms whose genomes are held in databases. The development of AlphaFold netted its creators at the London-based AI company DeepMind, owned by Alphabet, one of this year’s US$3-million Breakthrough prizes — the most lucrative awards in science.AlphaFold isn’t the only player on the scene. Meta (formerly Facebook), in California, has developed its own AI network, called ESMFold, and used it to predict the shapes of roughly 600 million possible proteins from bacteria, viruses and other microorganisms that have not been isolated or cultured. Scientists are using these tools to dream up proteins that could form the basis of new drugs and vaccines.Monkeypox goes global

    The monkeypox virus (shown here as a coloured transmission electron micrograph) is related to the smallpox virus.Credit: CDC/Science Photo Library

    The rapid global spread of monkeypox (recently renamed ‘mpox’ by the World Health Organization) this year caught many scientists off guard. Previously, the virus had mainly been confined to Central and West Africa, but from May this year, infections started appearing in Europe, the United States, Canada and many other countries, mostly in young and middle-aged men who have sex with men. The virus is related to smallpox, and the circulating strain only rarely causes severe disease or death. But its fast spread led the World Health Organization to declare the global outbreak a ‘public-health emergency of international concern’, the agency’s highest alert level, in July.As cases soared, researchers got to work trying to understand the dynamics of the disease. Studies confirmed that it is transmitted primarily through repeated skin-to-skin contact, and trials of possible treatments got under way. Existing smallpox vaccines were also used to suppress the virus in some countries. Six months after mpox infections first started increasing, vaccination efforts and behavioural changes seemed to have curbed its spread in Europe and the United States. Researchers predict a range of scenarios from here — the most hopeful being that the virus fizzles out in non-endemic countries over the next few months or years.The Moon has a revivalThe Moon has become a popular destination for space missions this year. First off the launch pad, in August, was South Korea’s Danuri probe, which is expected to arrive at its destination in January and orbit the Moon for a year. The mission is the country’s first foray beyond Earth’s orbit and is carrying a host of experiments.Last month, NASA’s hotly anticipated Artemis programme — which aims to send astronauts to the Moon in the next few years — finally kicked off with the launch of an uncrewed capsule called Orion, a joint venture with the European Space Agency. As part of a test flight to see whether the system can transport people safely to the Moon, the capsule flew out past the Moon and made its way back to Earth safely this month.A lunar spacecraft made by a Japanese company launched this month. ispace’s M1 lander is aiming to be the first of several private ventures to land on the surface of the Moon next year. The lander will carry two rovers, one for the United Arab Emirates and another for the Japan Aerospace Exploration Agency, JAXA. The rovers will be a first for both countries.Climate-change funding

    People cross a flooded highway in Sindh province, Pakistan in August.Credit: Waqar Hussein/EPA-EFE/Shutterstock

    There were many reasons to feel despondent about the United Nations Climate Change Conference of the Parties (COP27) in Egypt last month, but an agreement on a new ‘loss and damage’ fund was one bright spot. The fund will help low- and middle-income countries to cover the cost of climate-change impacts, such as the catastrophic floods in Pakistan this year, which caused more than US$30 billion worth of damage and economic losses.But calls at COP27 to phase out fossil fuels were blocked by oil-producing states, and many blamed the lack of progress on the energy crisis sparked by Russia’s invasion of Ukraine. High natural-gas prices have led some European nations to rely temporarily on coal. Global carbon emissions from fossil fuels are expected to hit 37.5 billion tonnes this year, a new record. The window to limit warming to 1.5–2 ºC above pre-industrial temperatures is disappearing fast — and might even have passed.Omicron’s offspring drive the pandemicOmicron and its descendants dominated all other coronavirus variants this year. The fast-spreading strain was first detected in southern Africa in November 2021, and quickly spread around the globe. From early on, it was clear that Omicron could evade immune-system defences more successfully than previous variants, which has meant that vaccines are less effective. Throughout the year, a diverse group of immune-dodging offshoots of Omicron has emerged, making it challenging for scientists to predict coming waves of infection.Vaccines based on Omicron variants have been rolled out in some countries in the hope they will offer greater protection than previous jabs, but early data suggest the extra benefit is modest. Nasal sprays against COVID-19 have also become a tool in the vaccine arsenal. The idea is that these stop the virus at the site where it first takes hold. In September, China and India approved needle-free COVID-19 vaccines that are delivered through the nose or mouth, and many similar vaccines are in various stages of development.Pig organs transplanted into people

    Surgeons in Baltimore, Maryland transplanted the first pig heart into a person in January.Credit: EyePress News/Shutterstock

    In January, US handyman David Bennett became the first person to receive a transplanted heart from a genetically modified pig — a crucial first step in determining whether animals could provide a source of organs for people who need them. Bennett survived for another eight weeks after the transplant, but researchers were impressed that he lived for that long, given that the human immune system attacks non-genetically modified pig organs in minutes. A few months later, two US research groups independently reported transplanting pig kidneys into three people who had been declared legally dead because they did not have brain function. The organs weren’t rejected and started producing urine. Researchers say the next step is clinical trials to test such procedures thoroughly in living people.Elections and science

    Luís Inácio Lula da Silva was elected president of Brazil in October.Credit: Fabio Vieira/FotoRua/NurPhoto via Getty

    National elections in Brazil, Australia and France brought relief for many researchers. After three years of science-damaging policies under right-wing president Jair Bolsonaro, Brazil narrowly elected leftist labour leader and former president Luiz Inácio Lula da Silva to lead the country in October. Scientists are hopeful that Lula’s return will result in a desperately needed boost to research funding and greater protection for the Amazon rainforest.French researchers were buoyed by President Emmanuel Macron’s victory over far-right candidate Marine Le Pen in April, and the election of Anthony Albanese as prime minister in Australia in May was seen as a good thing for science and climate-change action, too. In China, Xi Jinping cemented his legacy with an historic third term as head of the Chinese Communist Party. Xi has placed science and innovation at the heart of his country’s growth strategy.In other nations, it was unclear how research would fare under new leaders, such as Giorgia Meloni, the far-right candidate elected as Italy’s first female prime minister in October. Science was not a priority for the United Kingdom’s three prime ministers this year, although they have retained previous commitments to raise research funding. After Boris Johnson reisgned, Liz Truss was in the position for just seven weeks before she too resigned and the current Prime Minister Rishi Sunak took over.Environmental push beginsThis week, conservation and political leaders are attempting to finalize a global deal to protect the environment. The UN’s Convention on Biological Diversity Conference of the Parties (COP15) is under way in Montreal, Canada. A new biodiversity treaty, known as the post-2020 Global Diversity Framework, has been delayed by more than two years because of the COVID-19 pandemic. Progress towards an agreement has been slow, and the deal looked under threat when negotiations stalled over financing during international talks in Nairobi in June. Financial pledges from some nations to support biodiversity helped discussions to move forward, but estimates suggest that US$700 billion more is needed annually to protect the natural world. At the meeting, delegates will hopefully agree on targets to stabilize species’ declines by 2030 and reverse them by mid-century. More

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    Mild shading promotes sesquiterpenoid synthesis and accumulation in Atractylodes lancea by regulating photosynthesis and phytohormones

    Mild shading facilitates sesquiterpenoid accumulation and growth in Atractylodes lancea rhizomeTo determine a concrete shading value for the production of high-quality and high-yielding AR, we examined the major compounds, including the sesquiterpenoids hinesol (Hin), β-eudesmol (Edu), and atractylone (Atl), and the polyacetylene atractylodin (Atd), as well as the biomass of AR at different growth stages (Fig. 1A–C) under various light intensities. The sum of these four volatile oils as the total volatile oil content was subsequently analyzed. The results revealed that the accumulation of volatile oils was significantly different (p  More