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Designing a Climate Change Resilient Landscape Connectivity Network From a Multi-Species Perspective
Carlos P E Bedson1,2, Ben L Payne1, Chris Sutherland3
1Natural England Cambridge UK.
Climate change drives species shifts, making landscape connectivity crucial for biodiversity. This study mapped England's connectivity network, revealing key areas for conservation planning amidst changing habitats.
Area of Science:
- Ecology
- Conservation Biology
- Climate Change Science
Background:
- Climate change is causing significant species range shifts and population declines.
- Maintaining biodiversity requires protected areas and suitable, connected habitats.
- Landscape connectivity is vital for species movement and successful colonization.
Purpose of the Study:
- To quantify national landscape connectivity in England for key taxa.
- To model species distribution and connectivity under future climate change scenarios.
- To identify critical areas for conservation planning by mapping the future connectivity network.
Main Methods:
- Generated species distribution models for 15 taxa across three climate scenarios (current, 2050, 2090).
- Applied circuit theory analysis to model landscape connectivity.
- Used z-score standardization and identified the top decile of connectivity as the network.
Main Results:
- The landscape connectivity network showed increased permeability and diffuse species requirements.
- High connectivity areas were identified in South West/South East England and the central Pennines, indicating potential latitudinal shifts.
- The national network spanned 1,029,000 ha, with 13% within Sites of Special Scientific Interest (SSSIs).
Conclusions:
- Future species distributions will require more diffuse connectivity, highlighting the need for adaptive conservation strategies.
- Specific regions in England are critical for maintaining landscape connectivity for diverse taxa.
- The study provides a framework for identifying national and regional conservation priorities to support species under climate change.
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