ArticleGlobal change biology2025
Climate-Driven Habitat Loss and Natural Fragmentation Increase Extinction Risk and Compromise Population Viability in Freshwater Fish.
Article in Global change biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- How the Choice of Spatial Resolution Affects Freshwater Fish Species Distribution Models.Ecology and evolution · 2026Article
- Climate-Driven Habitat Loss and Natural Fragmentation Increase Extinction Risk and Compromise Population Viability in Freshwater Fish.Global change biology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Climate change is one of the major drivers of the current extinction crisis. In this context, determining the probability of species extinction is crucial. In aquatic ecosystems, basin area is a key factor influencing extinction risk. Habitat fragmentation can significantly reduce river basin size and lead to both deterministic and stochastic extinctions. Deterministic extinctions occur when climatic conditions become unfavorable across the entire area of occupancy of populations, while stochastic extinctions result from temporal variability in population size driven by stochastic events. In this study, we developed an extinction model incorporating species presence probability, basin area, and biological parameters. Using species distribution modeling to estimate current and future species distributions, we applied the extinction model to freshwater fish species in France to quantify deterministic and stochastic extinctions as well as population viability under future climatic conditions. Our results showed a significant effect of climate change on deterministic extinction rates, depending on the species considered and their spawning thermal preferences. We also observed spatial patterns in extinction rates, with small coastal rivers being particularly impacted. Furthermore, our results showed an effect of climate change on population viability, especially for cold-water species. While our results did not indicate high extinction rates for most species, they revealed that cold-water species could be severely affected by habitat loss due to climate change and natural fragmentation, with potentially greater impacts under anthropogenic fragmentation. The application of this model could be highly valuable for identifying both priority areas and species of concern in conservation planning.
Indexed as
Identifiers
What OpenQuestion holds
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.