ArticleEcology letters2020
The effect of climate change on the resilience of ecosystems with adaptive spatial pattern formation.
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 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
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Who cites it
17 citing papers in PubMed.
- Evolution shapes ecosystem resilience through spatial self-organization.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Self-organized hummock-hollow patterns redistribute salinity stress in coastal meadows.Science advances · 2026Article
- Early Warning Signals in Ecological Time-Series.Entropy (Basel, Switzerland) · 2026Review
- How spatial patterns can lead to less resilient ecosystems.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Wavelength Selection for Periodic Travelling Waves: An Unsolved Problem.Bulletin of mathematical biology · 2026Article
- Causes and consequences of disordered hyperuniformity in global drylands.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Impact and elastic modulus of coal mining on terrestrial ecosystems.Scientific reports · 2025Article
- How spatiotemporal dynamics can enhance ecosystem resilience.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Turing Instabilities are Not Enough to Ensure Pattern Formation.Bulletin of mathematical biology · 2024Article
- The hidden order of Turing patterns in arid and semi-arid vegetation ecosystems.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Fairy circle tales.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Self-organized mud cracking amplifies the resilience of an iconic "Red Beach" salt marsh.Science advances · 2023Article
- Phase-separation physics underlies new theory for the resilience of patchy ecosystems.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Research Advancement in Grassland Ecosystem Vulnerability and Ecological Resilience and Its Inspiration for Improving Grassland Ecosystem Services in the Karst Desertification Control.Plants (Basel, Switzerland) · 2022Review
- Article
- Fairy circles reveal the resilience of self-organized salt marshes.Science advances · 2021Article
- A nucleation framework for transition between alternate states: short-circuiting barriers to ecosystem recovery.Ecology · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
In a rapidly changing world, quantifying ecosystem resilience is an important challenge. Historically, resilience has been defined via models that do not take spatial effects into account. These systems can only adapt via uniform adjustments. In reality, however, the response is not necessarily uniform, and can lead to the formation of (self-organised) spatial patterns - typically localised vegetation patches. Classical measures of resilience cannot capture the emerging dynamics in spatially self-organised systems, including transitions between patterned states that have limited impact on ecosystem structure and productivity. We present a framework of interlinked phase portraits that appropriately quantifies the resilience of patterned states, which depends on the number of patches, the distances between them and environmental conditions. We show how classical resilience concepts fail to distinguish between small and large pattern transitions, and find that the variance in interpatch distances provides a suitable indicator for the type of imminent transition. Subsequently, we describe the dependency of ecosystem degradation based on the rate of climatic change: slow change leads to sporadic, large transitions, whereas fast change causes a rapid sequence of smaller transitions. Finally, we discuss how pre-emptive removal of patches can minimise productivity losses during pattern transitions, constituting a viable conservation strategy.
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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.