ArticleEcology and evolution2025
Designing a Climate Change Resilient Landscape Connectivity Network From a Multi-Species Perspective.
Article in Ecology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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Who cites it
1 citing paper in PubMed.
- Designing a Climate Change Resilient Landscape Connectivity Network From a Multi-Species Perspective.Ecology and evolution · 2025Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is strong evidence that climate change causes species range shifts and declines. Protected areas and suitable habitats are important for maintaining biodiversity. Species range changes depend on landscape connectivity between areas, facilitating movement and colonisation. Conservationists should identify landscape connectivity, as climate change causes species to move at different points in time. We quantified national connectivity for England for a sample of nationally important taxa associated with limestone and upland habitats, reflecting the White Peak as example focal region. We generated England-wide species distribution models for 15 species for three climate change time scenarios (Shared Socioeconomic Pathway 245): current, 2050 and 2090. We inverted these models, applying circuit theory analysis, to create connectivity maps. We applied
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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.