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Evaluating early-warning indicators of critical transitions in natural aquatic ecosystems

Authors :
Vasilis Dakos
Peeter Nõges
Rita Adrian
Annika W. Walters
Ulrike Scharfenberger
Daniel E. Schindler
Deniz Özkundakci
Lars-Anders Hansson
Ellen Van Donk
Annette B.G. Janssen
Philip C. Reid
Alena S. Gsell
Aquatic Ecology (AqE)
Lund Univ, Dept Biol Aquat Ecol, Lund, Sweden
Netherlands Inst Ecol NIOO KNAW, Dept Aquat Ecol, Wageningen, Netherlands
Institut des Sciences de l'Evolution de Montpellier (UMR ISEM)
École pratique des hautes études (EPHE)
Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre National de la Recherche Scientifique (CNRS)-Institut de recherche pour le développement [IRD] : UR226
Source :
Proceedings of the National Academy of Sciences of the United States of America, 113(50), E8089-E8095. National Academy of Sciences, Proceedings of the National Academy of Sciences of the United States of America, Proceedings of the National Academy of Sciences of the United States of America, National Academy of Sciences, 2016, 113 (50), pp.E8089-E8095, Proceedings of the National Academy of Sciences of the United States of America, National Academy of Sciences, 2016, 113 (50), pp.E8089-E8095. ⟨10.1073/pnas.1608242113⟩, Proceedings of the National Academy of Sciences of the United States of America, 113(50), E8089-E8095, Proceedings of the National Academy of Sciences of the United States of America 113 (2016) 50
Publication Year :
2016

Abstract

Ecosystems can show sudden and persistent changes in state despite only incremental changes in drivers. Such critical transitions are difficult to predict, because the state of the system often shows little change before the transition. Early-warning indicators (EWIs) are hypothesized to signal the loss of system resilience and have been shown to precede critical transitions in theoretical models, paleo-climate time series, and in laboratory as well as whole lake experiments. The generalizability of EWIs for detecting critical transitions in empirical time series of natural aquatic ecosystems remains largely untested, however. Here we assessed four commonly used EWIs on long-term datasets of five freshwater ecosystems that have experienced sudden, persistent transitions and for which the relevant ecological mechanisms and drivers are well understood. These case studies were categorized by three mechanisms that can generate critical transitions between alternative states: competition, trophic cascade, and intraguild predation. Although EWIs could be detected in most of the case studies, agreement among the four indicators was low. In some cases, EWIs were detected considerably ahead of the transition. Nonetheless, our results show that at present, EWIs do not provide reliable and consistent signals of impending critical transitions despite using some of the best routinely monitored freshwater ecosystems. Our analysis strongly suggests that a priori knowledge of the underlying mechanisms driving ecosystem transitions is necessary to identify relevant state variables for successfully monitoring EWIs.

Details

ISSN :
10916490 and 00278424
Volume :
113
Issue :
50
Database :
OpenAIRE
Journal :
Proceedings of the National Academy of Sciences of the United States of America
Accession number :
edsair.doi.dedup.....83424bc4745b86dd262b5b83e25c8557
Full Text :
https://doi.org/10.1073/pnas.1608242113⟩