@article{3e850bfc82124f0e8fe6e7d3a70fdc9a,
title = "Mean species responses predict effects of environmental change on coexistence",
abstract = "Environmental change research is plagued by the curse of dimensionality: the number of communities at risk and the number of environmental drivers are both large. This raises the pressing question if a general understanding of ecological effects is achievable. Here, we show evidence that this is indeed possible. Using theoretical and simulation-based evidence for bi- and tritrophic communities, we show that environmental change effects on coexistence are proportional to mean species responses and depend on how trophic levels on average interact prior to environmental change. We then benchmark our findings using relevant cases of environmental change, showing that means of temperature optima and of species sensitivities to pollution predict concomitant effects on coexistence. Finally, we demonstrate how to apply our theory to the analysis of field data, finding support for effects of land use change on coexistence in natural invertebrate communities.",
keywords = "climate change, community ecology, environmental ecology, environmental stressors, food chains, food webs, global change, pollution",
author = "{De Laender}, Frederik and Camille Carpentier and Timoteo Carletti and Chuliang Song and Samantha Rumschlag and Michael Mahon and Marie Simonin and G{\'e}za Mesz{\'e}na and Gy{\"o}rgy Barabas",
note = "Funding Information: This research used resources of the {\textquoteleft}Plateforme Technologique de Calcul Intensif (PTCI){\textquoteright} ( http://www.ptci.unamur.be ) located at the University of Namur, Belgium, which is supported by the FNRS‐FRFC, the Walloon Region and the University of Namur (Conventions No. 2.5020.11, GEQ U.G006.15, 1610468, RW/GEQ2016 et U.G011.22). The PTCI is the member of the {\textquoteleft}Consortium des {\'E}quipements de Calcul Intensif (C{\'E}CI){\textquoteright} ( http://www.ceci‐hpc.be ). FDL acknowledges support from the University of Namur through his NARC fellowship. GM was funded by the Hungarian National Research, Development and Innovation Office (grant K123796). We thank Ryan Hill for feedback on the data analysis. Finally, we thank three anonymous reviewers for their constructive feedback which helped to improve the paper. Funding Information: This research used resources of the {\textquoteleft}Plateforme Technologique de Calcul Intensif (PTCI){\textquoteright} (http://www.ptci.unamur.be) located at the University of Namur, Belgium, which is supported by the FNRS-FRFC, the Walloon Region and the University of Namur (Conventions No. 2.5020.11, GEQ U.G006.15, 1610468, RW/GEQ2016 et U.G011.22). The PTCI is the member of the {\textquoteleft}Consortium des {\'E}quipements de Calcul Intensif (C{\'E}CI){\textquoteright} (http://www.ceci-hpc.be). FDL acknowledges support from the University of Namur through his NARC fellowship. GM was funded by the Hungarian National Research, Development and Innovation Office (grant K123796). We thank Ryan Hill for feedback on the data analysis. Finally, we thank three anonymous reviewers for their constructive feedback which helped to improve the paper. Publisher Copyright: {\textcopyright} 2023 John Wiley & Sons Ltd.",
year = "2023",
month = sep,
doi = "10.1111/ele.14278",
language = "English",
volume = "26",
pages = "1535--1547",
journal = "Ecology Letters",
issn = "1461-023X",
publisher = "Wiley-Blackwell Publishing Ltd",
number = "9",
}