Synergistic interactions among growing stressors increase risk to an Arctic ecosystem

Autor: K. R. Arrigo, Gert L. van Dijken, M. A. Cameron, J. van der Grient, L. M. Wedding, L. Hazen, J. Leape, G. Leonard, A. Merkl, F. Micheli, M. M. Mills, S. Monismith, N. T. Ouellette, A. Zivian, M. Levi, R. M. Bailey
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Nature Communications, Vol 11, Iss 1, Pp 1-8 (2020)
Druh dokumentu: article
ISSN: 2041-1723
DOI: 10.1038/s41467-020-19899-z
Popis: Multiple co-occurring stressors may affect food webs in ways that are not predictable by studying individual stressors. Here the authors apply a network interaction model to a marine food web in the Arctic, finding that nonlinear interactions between stressors can more than double the risk of population collapse compared to simpler simulations.
Databáze: Directory of Open Access Journals