Habitat Connectivity Trends: Calculation, Modelling and Assessment

Vitalii Kriukov; Lucy Bastin; Riyad Rahman; Ivette Serral; Joan Maso

doi:10.5281/ZENODO.15237078

Habitat Connectivity Trends: Calculation, Modelling and Assessment

Vitalii Kriukov, Lucy Bastin, Riyad Rahman, Ivette Serral, Joan Maso

Research output: Chapter in Book/Published conference output › Conference publication

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	https://doi.org/10.5281/ZENODO.15237078
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

Keywords

spatial data
biodiversity
habitat connectivity
land-use/land-cove
spatial modelling

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10.5281/ZENODO.15237078Licence: CC BY 4.0

Cite this

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title = "Habitat Connectivity Trends: Calculation, Modelling and Assessment",

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.",

keywords = "spatial data, biodiversity, habitat connectivity, land-use/land-cove, spatial modelling",

author = "Vitalii Kriukov and Lucy Bastin and Riyad Rahman and Ivette Serral and Joan Maso",

year = "2025",

month = apr,

day = "17",

doi = "10.5281/ZENODO.15237078",

language = "English",

booktitle = "33rd GISRUK Conference 2025",

note = "33rd Annual GIS Research UK Conference , GISRUK ; Conference date: 23-04-2025 Through 25-04-2025",

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T1 - Habitat Connectivity Trends: Calculation, Modelling and Assessment

AU - Kriukov, Vitalii

AU - Bastin, Lucy

AU - Rahman, Riyad

AU - Serral, Ivette

AU - Maso, Joan

PY - 2025/4/17

Y1 - 2025/4/17

N2 - 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.

AB - 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.

KW - spatial data

KW - biodiversity

KW - habitat connectivity

KW - land-use/land-cove

KW - spatial modelling

UR - https://zenodo.org/doi/10.5281/zenodo.15237078

U2 - 10.5281/ZENODO.15237078

DO - 10.5281/ZENODO.15237078

M3 - Conference publication

BT - 33rd GISRUK Conference 2025

T2 - 33rd Annual GIS Research UK Conference

Y2 - 23 April 2025 through 25 April 2025

ER -

Habitat Connectivity Trends: Calculation, Modelling and Assessment

Abstract

Conference

Keywords

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