The Asymmetric Response Concept explains ecological consequences of multiple stressor exposure and release.

Matthijs Vos, Daniel Hering,Mark O Gessner, Florian Leese,Ralf B Schäfer, Ralph Tollrian,Jens Boenigk, Peter Haase,Rainer Meckenstock, Daria Baikova, Helena Bayat,Arne Beermann, Daniela Beisser,Bánk Beszteri, Sebastian Birk,Lisa Boden, Verena Brauer,Mario Brauns, Dominik Buchner,Andrea Burfeid-Castellanos, Gwendoline David, Aman Deep, Annemie Doliwa,Micah Dunthorn, Julian Enß,Camilo Escobar-Sierra, Christian K Feld,Nicola Fohrer, Daniel Grabner, Una Hadziomerovic,Sonja C Jähnig, Maik Jochmann,Shaista Khaliq, Jens Kiesel, Annabel Kuppels,Kathrin P Lampert, T T Yen Le,Armin W Lorenz, Graciela Medina Madariaga, Benjamin Meyer,Jelena H Pantel, Iris Madge Pimentel,Ntambwe Serge Mayombo, Hong Hanh Nguyen,Kristin Peters, Svenja M Pfeifer,Sebastian Prati, Alexander J Probst, Dominik Reiner,Peter Rolauffs, Alexandra Schlenker, Torsten C Schmidt,Manan Shah, Guido Sieber,Tom Lennard Stach, Ann-Kathrin Tielke, Anna-Maria Vermiert,Martina Weiss, Markus Weitere,Bernd Sures

The Science of the total environment(2023)

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摘要
Our capacity to predict trajectories of ecosystem degradation and recovery is limited, especially when impairments are caused by multiple stressors. Recovery may be fast or slow and either complete or partial, sometimes result in novel ecosystem states or even fail completely. Here, we introduce the Asymmetric Response Concept (ARC) that provides a basis for exploring and predicting the pace and magnitude of ecological responses to, and release from, multiple stressors. The ARC holds that three key mechanisms govern population, community and ecosystem trajectories. Stress tolerance is the main mechanism determining responses to increasing stressor intensity, whereas dispersal and biotic interactions predominantly govern responses to the release from stressors. The shifting importance of these mechanisms creates asymmetries between the ecological trajectories that follow increasing and decreasing stressor intensities. This recognition helps to understand multiple stressor impacts and to predict which measures will restore communities that are resistant to restoration.
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