Warming underpins community turnover in temperate freshwater and terrestrial communities.
Journal
Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555
Informations de publication
Date de publication:
01 Mar 2024
01 Mar 2024
Historique:
received:
28
09
2023
accepted:
21
02
2024
medline:
2
3
2024
pubmed:
2
3
2024
entrez:
1
3
2024
Statut:
epublish
Résumé
Rising temperatures are leading to increased prevalence of warm-affinity species in ecosystems, known as thermophilisation. However, factors influencing variation in thermophilisation rates among taxa and ecosystems, particularly freshwater communities with high diversity and high population decline, remain unclear. We analysed compositional change over time in 7123 freshwater and 6201 terrestrial, mostly temperate communities from multiple taxonomic groups. Overall, temperature change was positively linked to thermophilisation in both realms. Extirpated species had lower thermal affinities in terrestrial communities but higher affinities in freshwater communities compared to those persisting over time. Temperature change's impact on thermophilisation varied with community body size, thermal niche breadth, species richness and baseline temperature; these interactive effects were idiosyncratic in the direction and magnitude of their impacts on thermophilisation, both across realms and taxonomic groups. While our findings emphasise the challenges in predicting the consequences of temperature change across communities, conservation strategies should consider these variable responses when attempting to mitigate climate-induced biodiversity loss.
Identifiants
pubmed: 38429327
doi: 10.1038/s41467-024-46282-z
pii: 10.1038/s41467-024-46282-z
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1921Informations de copyright
© 2024. The Author(s).
Références
Lenoir, J. et al. Species better track climate warming in the oceans than on land. Nat. Ecol. Evol. 4, 1044–1059 (2020).
pubmed: 32451428
doi: 10.1038/s41559-020-1198-2
Freeman, B. G., Song, Y., Feeley, K. J. & Zhu, K. Montane species track rising temperatures better in the tropics than in the temperate zone. Ecol. Lett. 24, 1697–1708 (2021).
pubmed: 34000078
doi: 10.1111/ele.13762
De Frenne, P. et al. Microclimate moderates plant responses to macroclimate warming. Proc. Natl. Acad. Sci. USA 110, 18561–18565 (2013).
pubmed: 24167287
pmcid: 3832027
doi: 10.1073/pnas.1311190110
Gottfried, M. et al. Continent-wide response of mountain vegetation to climate change. Nat. Clim. Chang 2, 111–115 (2012).
doi: 10.1038/nclimate1329
Bertrand, R. et al. Changes in plant community composition lag behind climate warming in lowland forests. Nature 479, 517–520 (2011).
pubmed: 22012261
doi: 10.1038/nature10548
Devictor, V. et al. Uncertainty in thermal tolerances and climatic debt. Nat. Clim. Chang. 2, 638–639 (2012).
doi: 10.1038/nclimate1668
Stuart-Smith, R. D., Edgar, G. J., Barrett, N. S., Kininmonth, S. J. & Bates, A. E. Thermal biases and vulnerability to warming in the world’s marine fauna. Nature 528, 88–92 (2015).
pubmed: 26560025
doi: 10.1038/nature16144
Zellweger, F. et al. Forest microclimate dynamics drive plant responses to warming. Science 368, 772–775 (2020).
pubmed: 32409476
doi: 10.1126/science.aba6880
Comte, L., Olden, J. D., Tedesco, P. A., Ruhi, A. & Giam, X. Climate and land-use changes interact to drive long-term reorganization of riverine fish communities globally. Proc. Natl .Acad. Sci. USA 118, e2011639118 (2021).
pubmed: 34155095
pmcid: 8271677
doi: 10.1073/pnas.2011639118
Feeley, K. J., Bravo-Avila, C., Fadrique, B., Perez, T. M. & Zuleta, D. Climate-driven changes in the composition of New World plant communities. Nat. Clim. Chang. 10, 965–970 (2020).
doi: 10.1038/s41558-020-0873-2
Fadrique, B. et al. Widespread but heterogeneous responses of Andean forests to climate change. Nature 564, 207–212 (2018).
pubmed: 30429613
doi: 10.1038/s41586-018-0715-9
Haase, P. et al. Moderate warming over the past 25 years has already reorganized stream invertebrate communities. Sci. Total Environ. 658, 1531–1538 (2019).
pubmed: 30678011
doi: 10.1016/j.scitotenv.2018.12.234
Richard, B. et al. The climatic debt is growing in the understorey of temperate forests: stand characteristics matter. Glob. Ecol. Biogeogr. 30, 1474–1487 (2021).
doi: 10.1111/geb.13312
Wiens, J. J. Faster diversification on land than sea helps explain global biodiversity patterns among habitats and animal phyla. Ecol. Lett. 18, 1234–1241 (2015).
pubmed: 26346782
doi: 10.1111/ele.12503
Vaughan, I. P. & Gotelli, N. J. Water quality improvements offset the climatic debt for stream macroinvertebrates over twenty years. Nat. Commun. 10, 1–8 (2019).
doi: 10.1038/s41467-019-09736-3
Termaat, T. et al. Distribution trends of European dragonflies under climate change. Divers. Distrib. 25, 936–950 (2019).
doi: 10.1111/ddi.12913
McFadden, I. R. et al. Linking human impacts to community processes in terrestrial and freshwater ecosystems. Ecol. Lett. 26, 203–218 (2023).
pubmed: 36560926
doi: 10.1111/ele.14153
Roth, T., Plattner, M. & Amrhein, V. Plants, birds and butterflies: short-term responses of species communities to climate warming vary by taxon and with altitude. PLoS One 9, e82490 (2014).
pubmed: 24416144
pmcid: 3885385
doi: 10.1371/journal.pone.0082490
Bowler, D. E. et al. Cross-realm assessment of climate change impacts on species’ abundance trends.Nat, Ecol, Evol, 1, 1–7 (2017).
doi: 10.1038/s41559-016-0067
Speakman, J. R. & Król, E. Maximal heat dissipation capacity and hyperthermia risk: neglected key factors in the ecology of endotherms. J. Anim. Ecol. 79, 726–746 (2010).
pubmed: 20443992
doi: 10.1111/j.1365-2656.2010.01689.x
Angilletta, M. J. Jr & Dunham, A. E. The temperature-size rule in ectotherms: simple evolutionary explanations may not be general. Am. Nat. 162, 332–342 (2003).
pubmed: 12970841
doi: 10.1086/377187
Peralta-Maraver, I. & Rezende, E. L. Heat tolerance in ectotherms scales predictably with body size. Nat. Clim. Chang. 11, 58–63 (2020).
doi: 10.1038/s41558-020-00938-y
Horne, C. R., Hirst, A. G. & Atkinson, D. Temperature-size responses match latitudinal-size clines in arthropods, revealing critical differences between aquatic and terrestrial species. Ecol. Lett. 18, 327–335 (2015).
pubmed: 25682961
doi: 10.1111/ele.12413
Bonachela, J. A., Burrows, M. T. & Pinsky, M. L. Shape of species climate response curves affects community response to climate change. Ecol. Lett. 24, 708–718 (2021).
pubmed: 33583096
doi: 10.1111/ele.13688
Khaliq, I., Hof, C., Prinzinger, R., Böhning-Gaese, K. & Pfenninger, M. Global variation in thermal tolerances and vulnerability of endotherms to climate change. Proc. Biol. Sci. 281, 20141097 (2014).
pubmed: 25009066
pmcid: 4100521
Bertrand, R. et al. Ecological constraints increase the climatic debt in forests. Nat. Commun. 7, 12643 (2016).
pubmed: 27561410
pmcid: 5007460
doi: 10.1038/ncomms12643
Read, Q. D. et al. Tropical bird species have less variable body sizes. Biol. Lett. 14, 20170453 (2018).
pubmed: 29367214
pmcid: 5803585
doi: 10.1098/rsbl.2017.0453
Duffy, J. E., Lefcheck, J. S., Stuart-Smith, R. D., Navarrete, S. A. & Edgar, G. J. Biodiversity enhances reef fish biomass and resistance to climate change. Proc. Natl. Acad. Sci. USA 113, 6230–6235 (2016).
pubmed: 27185921
pmcid: 4896699
doi: 10.1073/pnas.1524465113
Isbell, F. et al. Biodiversity increases the resistance of ecosystem productivity to climate extremes. Nature 526, 574–577 (2015).
pubmed: 26466564
doi: 10.1038/nature15374
Cardinale, B. J. et al. Biodiversity loss and its impact on humanity. Nature 486, 59–67 (2012).
pubmed: 22678280
doi: 10.1038/nature11148
Antão, L. H. et al. Temperature-related biodiversity change across temperate marine and terrestrial systems. Nat. Ecol. Evol. 4, 927–933 (2020).
pubmed: 32367031
doi: 10.1038/s41559-020-1185-7
McLean, M. et al. Disentangling tropicalization and deborealization in marine ecosystems under climate change. Curr. Biol. (2021) https://doi.org/10.1016/j.cub.2021.08.034 .
Dornelas, M. et al. BioTIME: a database of biodiversity time series for the Anthropocene. Glob. Ecol. Biogeogr. 27, 760–786 (2018).
pubmed: 30147447
pmcid: 6099392
doi: 10.1111/geb.12729
Comte, L. et al. RivFishTIME: a global database of fish time‐series to study global change ecology in riverine systems. Glob. Ecol. Biogeogr. 30, 38–50 (2021).
doi: 10.1111/geb.13210
Fürst, J., Bollmann, K., Gossner, M. M., Duelli, P. & Obrist, M. K. Increased arthropod biomass, abundance and species richness in an agricultural landscape after 32 years. J. Insect Conserv. 27, 219–232 (2023).
doi: 10.1007/s10841-022-00445-9
Duelli, P., Wermelinger, B., Moretti, M. & Obrist, M. К Fire and windthrow in forests: winners and losers in Neuropterida and Mecoptera. Alp. Entomol. 3, 39 (2019).
doi: 10.3897/alpento.3.30868
Moretti, M. et al. Fire-induced taxonomic and functional changes in saproxylic beetle communities in fire sensitive regions. Ecography 33, 760–771 (2010).
doi: 10.1111/j.1600-0587.2009.06172.x
Elmendorf, S. C. et al. Experiment, monitoring, and gradient methods used to infer climate change effects on plant communities yield consistent patterns. Proc. Natl. Acad. Sci. USA 112, 448–452 (2015).
pubmed: 25548195
doi: 10.1073/pnas.1410088112
Speakman, J. R. Body size, energy metabolism and lifespan. J. Exp. Biol. 208, 1717–1730 (2005).
pubmed: 15855403
doi: 10.1242/jeb.01556
Duque, A., Stevenson, P. R. & Feeley, K. J. Thermophilization of adult and juvenile tree communities in the northern tropical Andes. Proc. Natl. Acad. Sci. USA 112, 10744–10749 (2015).
pubmed: 26261350
pmcid: 4553780
doi: 10.1073/pnas.1506570112
Pinsky, M. L., Eikeset, A. M., McCauley, D. J., Payne, J. L. & Sunday, J. M. Greater vulnerability to warming of marine versus terrestrial ectotherms. Nature 569, 108–111 (2019).
pubmed: 31019302
doi: 10.1038/s41586-019-1132-4
Sunday, J. M. et al. Thermal-safety margins and the necessity of thermoregulatory behavior across latitude and elevation. Proc. Natl. Acad. Sci. USA 111, 5610–5615 (2014).
pubmed: 24616528
pmcid: 3992687
doi: 10.1073/pnas.1316145111
Tan, H., Hirst, A. G., Atkinson, D. & Kratina, P. Body size and shape responses to warming and resource competition. Funct. Ecol. 35, 1460–1469 (2021).
doi: 10.1111/1365-2435.13789
Stevens, J. T., Safford, H. D., Harrison, S. & Latimer, A. M. Forest disturbance accelerates thermophilization of understory plant communities. J. Ecol. 103, 1253–1263 (2015).
doi: 10.1111/1365-2745.12426
Thomas, M. K., Kremer, C. T., Klausmeier, C. A. & Litchman, E. A global pattern of thermal adaptation in marine phytoplankton. Science 338, 1085–1088 (2012).
pubmed: 23112294
doi: 10.1126/science.1224836
Woolway, R. I. et al. Phenological shifts in lake stratification under climate change. Nat. Commun. 12, 2318 (2021).
pubmed: 33875656
pmcid: 8055693
doi: 10.1038/s41467-021-22657-4
Bartosiewicz, M. et al. Hot tops, cold bottoms: synergistic climate warming and shielding effects increase carbon burial in lakes. Limnol. Oceanogr. Lett. 4, 132–144 (2019).
doi: 10.1002/lol2.10117
Pearce-Higgins, J. W., Eglington, S. M., Martay, B. & Chamberlain, D. E. Drivers of climate change impacts on bird communities. J. Anim. Ecol. 84, 943–954 (2015).
pubmed: 25757576
doi: 10.1111/1365-2656.12364
Ellenberg, H. et al. Zeigerwerte von Pflanzen in Mitteleuropa. Datenbank. Scr. Geobot. 18, 1–258 (1992).
Brice, M.-H., Cazelles, K., Legendre, P. & Fortin, M.-J. Disturbances amplify tree community responses to climate change in the temperate–boreal ecotone. Glob. Ecol. Biogeogr. 28, 1668–1681 (2019).
doi: 10.1111/geb.12971
Dornelas, M. et al. Assemblage time series reveal biodiversity change but not systematic loss. Science 344, 296–299 (2014).
pubmed: 24744374
doi: 10.1126/science.1248484
Zizka, A. et al. CoordinateCleaner: standardized cleaning of occurrence records from biological collection databases.Methods Ecol. Evol. 10, 744–751 (2019).
doi: 10.1111/2041-210X.13152
Karger, D. N. et al. Climatologies at high resolution for the earth’s land surface areas. Sci. Data 4(1), 20 (2017).
doi: 10.1038/sdata.2017.122
Wanders, N., Vliet, M. T. H., Wada, Y., Bierkens, M. F. P. & Beek, L. P. H. High‐resolution global water temperature modeling. Water Resour. Res. 55, 2760–2778 (2019).
doi: 10.1029/2018WR023250
Jones, E. R. et al. DynQual v1.0: A high-resolution global surface water quality model. Geosci. Model Dev. Discussions 1–24 (2022) https://doi.org/10.5194/gmd-2022-222 .
Comte, L. & Olden, J. D. Climatic vulnerability of the world’s freshwater and marine fishes. Nat. Clim. Chang. 7, 718–722 (2017).
doi: 10.1038/nclimate3382
Bennett, J. M. et al. GlobTherm, a global database on thermal tolerances for aquatic and terrestrial organisms. Sci. Data 5, 180022 (2018).
pubmed: 29533392
pmcid: 5848787
doi: 10.1038/sdata.2018.22
Padfield, D., Yvon-Durocher, G., Buckling, A., Jennings, S. & Yvon-Durocher, G. Rapid evolution of metabolic traits explains thermal adaptation in phytoplankton. Ecol. Lett. 19, 133–142 (2016).
pubmed: 26610058
doi: 10.1111/ele.12545
Aranguren-Gassis, M., Kremer, C. T., Klausmeier, C. A. & Litchman, E. Nitrogen limitation inhibits marine diatom adaptation to high temperatures. Ecol. Lett. 22, 1860–1869 (2019).
pubmed: 31429516
doi: 10.1111/ele.13378
Froese, R. & Pauly, D. FishBase 2000: Concepts, Design and Data Sources. ICLARM Contrib. No. 1594. International Center for Living Aquatic Resources Management. (ICLARM, Los Baños, Laguna, Philippines, 2000).
Kattge, J. et al. TRY plant trait database - enhanced coverage and open access. Glob. Chang. Biol. 26, 119–188 (2020).
doi: 10.1111/gcb.14904
Etard, A., Morrill, S. & Newbold, T. Global gaps in trait data for terrestrial vertebrates. Glob. Ecol. Biogeogr. 29, 2143–2158 (2020).
doi: 10.1111/geb.13184
Dormann, C. F. et al. Collinearity: a review of methods to deal with it and a simulation study evaluating their performance. Ecography 36, 27–46 (2013).
doi: 10.1111/j.1600-0587.2012.07348.x
Pinheiro, J. nlme: linear and nonlinear mixed effects models. R package version 3.1-98. http://cran.r-project.org/package=nlme (2011).
RCore, T. R: A language and environment for statistical computing. (R Foundation for Statistical Computing, Vienna, Austria, 2016).
Ilyas, I. F. & Chu, X. Data Cleaning. (Morgan & Claypool, 2019).