The spatiotemporal profile and adaptation determine the joint effects and interactions of multiple stressors

  • Biodiversity is declining worldwide as ecosystems are increasingly threatened by multiple stressors associated with anthropogenic global change. Stressors frequently co-occur across scales spatially and temporally, resulting in joint effects that are additive or non-additive, i.e., antagonism or synergism. Forecasting and counteracting threats from intensifying stressors requires improved mechanistic understanding of joint effects, which is currently relatively low. To date, research on multiple stressors has been biased toward simplified scenarios, emphasized classification of interactions over realized joint effects, and mostly ignored adaptation (i.e., phenotypic plasticity or evolving life-history traits) of organisms. To investigate if more a realistic scenarios design incorporating complex spatiotemporal stressor profiles and adaption change joint effects and interactions of multiple stressors compared to simplified scenarios, we modified a spatially explicit meta-population model for a generic freshwater insect. We used the model to simulate different, hypothetical spatiotemporal profiles of a continuous and a discrete stressor and evaluated their joint effects and interactions. Agricultural land use represented the continuous stressor impacting meta-population patch quality and network connectivity and related scenarios implied different trajectories. Climatic events represented the discrete stressor impacting all patches simultaneously by temporary mortality events, with related scenarios implying different event severity. Adaptation mitigated the effects of climatic events based on previous events.

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Metadaten
Author:Lucas Streib, Jürg W. Spaak, Marius Kloft, Ralf B. Schäfer
URN:urn:nbn:de:hbz:386-kluedo-96647
ISSN:2190-4715
Parent Title (English):Environmental Sciences Europe
Publisher:Springer Nature
Document Type:Article
Language of publication:English
Date of Publication (online):2024/06/21
Year of first Publication:2024
Publishing Institution:Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau
Date of the Publication (Server):2026/02/26
Issue:Volume 36 / Issue 1
Page Number:16
Source:10.1186/s12302-024-00945-2
Faculties / Organisational entities:Landau - Fachbereich Natur- und Umweltwissenschaften
DDC-Cassification:5 Naturwissenschaften und Mathematik / 500 Naturwissenschaften
Collections:Open-Access-Publikationsfonds
Licence (German):Lizenz nach Originalpublikation