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Evaluating early-warning indicators of critical transitions in natural aquatic ecosystems.
Gsell, Alena Sonia; Scharfenberger, Ulrike; Özkundakci, Deniz; Walters, Annika; Hansson, Lars-Anders; Janssen, Annette B G; Nõges, Peeter; Reid, Philip C; Schindler, Daniel E; Van Donk, Ellen; Dakos, Vasilis; Adrian, Rita.
Affiliation
  • Gsell AS; Ecosystem Research, Leibniz Institute of Freshwater Ecology and Inland Fisheries, 12587 Berlin, Germany; a.gsell@nioo.knaw.nl.
  • Scharfenberger U; Aquatic Ecology, Netherlands Institute of Ecology, 6708 PB Wageningen, The Netherlands.
  • Özkundakci D; Ecosystem Research, Leibniz Institute of Freshwater Ecology and Inland Fisheries, 12587 Berlin, Germany.
  • Walters A; Department of Biology, Chemistry, and Pharmacy, Free University of Berlin, 14195 Berlin, Germany.
  • Hansson LA; Waikato Regional Council, 3216 Hamilton, New Zealand.
  • Janssen AB; Wyoming Cooperative Fish and Wildlife Research Unit, US Geological Survey, Laramie, WY 82071.
  • Nõges P; Department of Biology, Lund University, 223 62 Lund, Sweden.
  • Reid PC; Aquatic Ecology, Netherlands Institute of Ecology, 6708 PB Wageningen, The Netherlands.
  • Schindler DE; Department of Aquatic Ecology and Water Quality Management, Wageningen University, Wageningen, The Netherlands.
  • Van Donk E; Centre for Limnology, Institute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, 61117 Tartumaa, Estonia.
  • Dakos V; The Laboratory, Sir Alister Hardy Foundation for Ocean Science, Plymouth PL1 2PB, United Kingdom.
  • Adrian R; Marine Institute, Plymouth University, Plymouth PL4 8AA, United Kingdom.
Proc Natl Acad Sci U S A ; 113(50): E8089-E8095, 2016 12 13.
Article in En | MEDLINE | ID: mdl-27911776
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ecosystem / Fresh Water / Models, Biological Type of study: Prognostic_studies Limits: Animals Language: En Journal: Proc Natl Acad Sci U S A Year: 2016 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ecosystem / Fresh Water / Models, Biological Type of study: Prognostic_studies Limits: Animals Language: En Journal: Proc Natl Acad Sci U S A Year: 2016 Type: Article