ArticleEcology letters2016
N-dimensional hypervolumes to study stability of complex ecosystems.
Article in Ecology letters, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- Amino acid-specific isotopes reveal changing five-dimensional niche segregation in Pacific seabirds over 50 years.Scientific reports · 2024Article
- Living at the edge: the functional niche occupation of woody plant communities in the submediterranean ecotone.Annals of botany · 2023Article
- Climate and land-use changes drive biodiversity turnover in arthropod assemblages over 150 years.Nature ecology & evolution · 2021Article
- Forest structure, not climate, is the primary driver of functional diversity in northeastern North America.The Science of the total environment · 2021Article
- A Landscape Epidemiological Approach for Predicting Chronic Wasting Disease: A Case Study in Virginia, US.Frontiers in veterinary science · 2021Article
- Model-based hypervolumes for complex ecological data.Ecology · 2019Article
- Drought effects on the stability of forest-grassland ecotones under gradual climate change.PloS one · 2018Article
- An invariability-area relationship sheds new light on the spatial scaling of ecological stability.Nature communications · 2017Article
- Behavioral Hypervolumes of Predator Groups and Predator-Predator Interactions Shape Prey Survival Rates and Selection on Prey Behavior.The American naturalist · 2017Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Although our knowledge on the stabilising role of biodiversity and on how it is affected by perturbations has greatly improved, we still lack a comprehensive view on ecosystem stability that is transversal to different habitats and perturbations. Hence, we propose a framework that takes advantage of the multiplicity of components of an ecosystem and their contribution to stability. Ecosystem components can range from species or functional groups, to different functional traits, or even the cover of different habitats in a landscape mosaic. We make use of n-dimensional hypervolumes to define ecosystem states and assess how much they shift after environmental changes have occurred. We demonstrate the value of this framework with a study case on the effects of environmental change on Alpine ecosystems. Our results highlight the importance of a multidimensional approach when studying ecosystem stability and show that our framework is flexible enough to be applied to different types of ecosystem components, which can have important implications for the study of ecosystem stability and transient dynamics.
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Registered trials
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