Abstract
A range of indices are available to calculate terrestrial habitat connectivity based on land-use/land- cover data. Two tools (Graphab and MiraMon) were used to create timeseries datasets (1987-2022) and build the pipeline to analyse trends in connectivity. Data4Land tool was developed to enrich LULC datasets with OpenStreetMap data. Habitat connectivity indices of forest-dwelling mammals and target species (Testudo hermanni) for Catalonia (Spain) were produced. In contrast to shrublands and meadows, forest connectivity mainly follows a positive trend, but considerable spatial differences are observed between Barcelona, protected areas and Pyrenees. The developed workflow supports decision-making and trade-offs between stakeholders in spatial planning.
| Original language | English |
|---|---|
| Title of host publication | 33rd GISRUK Conference 2025 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 17 Apr 2025 |
| Event | 33rd Annual GIS Research UK Conference - University of Bristol, Bristol, United Kingdom Duration: 23 Apr 2025 → 25 Apr 2025 |
Conference
| Conference | 33rd Annual GIS Research UK Conference |
|---|---|
| Abbreviated title | GISRUK |
| Country/Territory | United Kingdom |
| City | Bristol |
| Period | 23/04/25 → 25/04/25 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 15 Life on Land
Keywords
- spatial data
- biodiversity
- habitat connectivity
- land-use/land-cove
- spatial modelling
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