ArticleEcology and evolution2017
Conceptualizing ecosystem tipping points within a physiological framework.
Article in Ecology and evolution, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 76 citations in OpenAlex.
- Emergent effects of global change on consumption depend on consumers and their resources in marine systems.Proceedings of the National Academy of Sciences of the United States of America · 2022Pooled it
- Multiple Dimensions Define Thresholds for Population Resilience of the Eastern Oyster,Ecology and evolution · 2025Article
- Reconciling Variability in Multiple Stressor Effects Using Environmental Performance Curves.Ecology letters · 2025Article
- Incorporating otolith-isotope inferred field metabolic rate into conservation strategies.Conservation physiology · 2024Article
- Predicting effects of multiple interacting global change drivers across trophic levels.Global change biology · 2023Article
- Applying a social-ecological systems lens to patterns of policy, operational change, and gender participation in a large Aotearoa New Zealand organisation.Journal of the Royal Society of New Zealand · 2022Article
- High predictability of direct competition between marine diatoms under different temperatures and nutrient states.Ecology and evolution · 2020Article
- Biodiversity mediates the effects of stressors but not nutrients on litter decomposition.eLife · 2020Article
- Climate change rapidly warms and acidifies Australian estuaries.Nature communications · 2020Article
- Applicability of Dynamic Energy Budget (DEB) models across steep environmental gradients.Scientific reports · 2018Article
- Conceptualizing ecosystem tipping points within a physiological framework.Ecology and evolution · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 6 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Connecting the nonlinear and often counterintuitive physiological effects of multiple environmental drivers to the emergent impacts on ecosystems is a fundamental challenge. Unfortunately, the disconnect between the way "stressors" (e.g., warming) is considered in organismal (physiological) and ecological (community) contexts continues to hamper progress. Environmental drivers typically elicit biphasic physiological responses, where performance declines at levels above and below some optimum. It is also well understood that species exhibit highly variable response surfaces to these changes so that the optimum level of any environmental driver can vary among interacting species. Thus, species interactions are unlikely to go unaltered under environmental change. However, while these nonlinear, species-specific physiological relationships between environment and performance appear to be general, rarely are they incorporated into predictions of ecological tipping points. Instead, most ecosystem-level studies focus on varying levels of "stress" and frequently assume that any deviation from "normal" environmental conditions has similar effects, albeit with different magnitudes, on all of the species within a community. We consider a framework that realigns the positive and negative physiological effects of changes in climatic and nonclimatic drivers with indirect ecological responses. Using a series of simple models based on direct physiological responses to temperature and ocean
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.