ArticleEcology letters2020
Foreseeing the future of mutualistic communities beyond collapse.
Article in Ecology letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed.
- Early Warning Signals in Ecological Time-Series.Entropy (Basel, Switzerland) · 2026Review
- Impacts of ectomycorrhizal forest change on nutrient cycling, forest resilience, and ecosystem services.The ISME journal · 2026Review
- Cooperation destabilizes communities, but competition pays the price.Journal of biosciences · 2026Article
- Spatial early warning signals to assess economic resilience.iScience · 2025Article
- Observing network dynamics through sentinel nodes.Nature communications · 2025Article
- Multivariate resilience indicators to anticipate vector-borne disease outbreaks: A West Nile virus case-study.PLoS computational biology · 2025Article
- An information-theoretic foreshadowing of mathematicians' sudden insights.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Revealing unseen dynamical regimes of ecosystems from population time-series data.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Applicability of spatial early warning signals to complex network dynamics.Journal of the Royal Society, Interface · 2025Article
- Reviving collapsed plant-pollinator networks from a single species.PLoS biology · 2024Article
- Anticipating regime shifts by mixing early warning signals from different nodes.Nature communications · 2024Article
- Attractor landscapes: a unifying conceptual model for understanding behaviour change across scales of observation.Health psychology review · 2023Article
- The buzz around biodiversity decline: Detecting pollinator shifts using a systematic review.iScience · 2023Article
- Early warnings for multi-stage transitions in dynamics on networks.Journal of the Royal Society, Interface · 2023Article
- Rising temperature drives tipping points in mutualistic networks.Royal Society open science · 2023Article
- Ranking species based on sensitivity to perturbations under non-equilibrium community dynamics.Ecology letters · 2023Article
- Coexistence in diverse communities with higher-order interactions.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Estimating comparable distances to tipping points across mutualistic systems by scaled recovery rates.Nature ecology & evolution · 2022Article
- Hidden effects of habitat restoration on the persistence of pollination networks.Ecology letters · 2022Article
- Community structure determines the predictability of population collapse.The Journal of animal ecology · 2022Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Changing conditions may lead to sudden shifts in the state of ecosystems when critical thresholds are passed. Some well-studied drivers of such transitions lead to predictable outcomes such as a turbid lake or a degraded landscape. Many ecosystems are, however, complex systems of many interacting species. While detecting upcoming transitions in such systems is challenging, predicting what comes after a critical transition is terra incognita altogether. The problem is that complex ecosystems may shift to many different, alternative states. Whether an impending transition has minor, positive or catastrophic effects is thus unclear. Some systems may, however, behave more predictably than others. The dynamics of mutualistic communities can be expected to be relatively simple, because delayed negative feedbacks leading to oscillatory or other complex dynamics are weak. Here, we address the question of whether this relative simplicity allows us to foresee a community's future state. As a case study, we use a model of a bipartite mutualistic network and show that a network's post-transition state is indicated by the way in which a system recovers from minor disturbances. Similar results obtained with a unipartite model of facilitation suggest that our results are of relevance to a wide range of mutualistic systems.
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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.