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Evaluating early-warning indicators of critical transitions in natural aquatic ecosystems
- 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.
- Subjects :
- Intraguild predation
0106 biological sciences
Aquatic Ecology and Water Quality Management
Time series
Food Chain
Time Factors
010504 meteorology & atmospheric sciences
media_common.quotation_subject
Climate
Theoretical models
Fresh Water
Biology
Biostatistics
010603 evolutionary biology
01 natural sciences
Freshwater ecosystem
Models, Biological
Natural (archaeology)
Resilience indicators
Animals
Ecosystem
14. Life underwater
Trophic cascade
ComputingMilieux_MISCELLANEOUS
0105 earth and related environmental sciences
media_common
Multidisciplinary
Competition
Warning system
business.industry
Ecology
Aquatic ecosystem
Environmental resource management
500 Naturwissenschaften und Mathematik::590 Tiere (Zoologie)::590 Tiere (Zoologie)
Aquatische Ecologie en Waterkwaliteitsbeheer
Eutrophication
Lakes
PNAS Plus
13. Climate action
international
Predatory Behavior
[SDE]Environmental Sciences
Psychological resilience
[SDE.BE]Environmental Sciences/Biodiversity and Ecology
business
Subjects
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⟩