Graph-Based Approaches Modeling to Assess Ecological Connectivity, Create Natural Habitats and Strengthen Ecological Networks in Ouagadougou, Burkina Faso

Cities in developing countries are particularly vulnerable to natural resource degradation, as urban development is often unplanned, and even when it is, it does not take biodiversity into account.Yet biodiversity is crucial to the construction and transformation of sustainable cities in Africa.Integrating ecological connectivity into urban planning is an essential tool for conserving and enhancing biodiversity and improving the quality of ecosystem services for city dwellers.This study aimed to assess ecological connectivity using the landscape graph modeling approach to identify priority fragments and dispersal corridors for conservation in the city of Ouagadougou, based on their overall contribution to forest habitat quality and connectivity.The ecological network modeling methodology used was based on the landscape graph approach, using Graphab 3 and QGIS 3.38.2software.Urban terrestrial mammals, a group of species sensitive to deforestation, were used as data for modelling.The main results reveal significant fragmentation of forest habitats, characterized by isolated habitat patches and a limited number of functional corridors.Local connectivity metrics calculations identified strategic habitats and essential corridors to be preserved.This spatial modeling research highlights the need to integrate conservation strategies into urban planning, particularly through the creation of corridor networks, with an emphasis on nature-based solutions for urban biodiversity.

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Publication Details

Journal
International Journal of Sustainable Development and Planning
Published
2025-05-31
DOI
https://doi.org/10.18280/ijsdp.200515
Primary Topic
Sustainability and Ecological Systems Analysis
Type
article
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article

Graph-Based Approaches Modeling to Assess Ecological Connectivity, Create Natural Habitats and Strengthen Ecological Networks in Ouagadougou, Burkina Faso

Marie Anita Temgoua Zemo, Bernard Tossou Atchrimi, Youmanli Enok Ferdinand Combary
International Journal of Sustainable Development and Planning
Sustainability and Ecological Systems Analysis
article

Graph-Based Approaches Modeling to Assess Ecological Connectivity, Create Natural Habitats and Strengthen Ecological Networks in Ouagadougou, Burkina Faso

Marie Anita Temgoua Zemo, Bernard Tossou Atchrimi, Youmanli Enok Ferdinand Combary
article en

Abstract

Cities in developing countries are particularly vulnerable to natural resource degradation, as urban development is often unplanned, and even when it is, it does not take biodiversity into account.Yet biodiversity is crucial to the construction and transformation of sustainable cities in Africa.Integrating ecological connectivity into urban planning is an essential tool for conserving and enhancing biodiversity and improving the quality of ecosystem services for city dwellers.This study aimed to assess ecological connectivity using the landscape graph modeling approach to identify priority fragments and dispersal corridors for conservation in the city of Ouagadougou, based on their overall contribution to forest habitat quality and connectivity.The ecological network modeling methodology used was based on the landscape graph approach, using Graphab 3 and QGIS 3.38.2software.Urban terrestrial mammals, a group of species sensitive to deforestation, were used as data for modelling.The main results reveal significant fragmentation of forest habitats, characterized by isolated habitat patches and a limited number of functional corridors.Local connectivity metrics calculations identified strategic habitats and essential corridors to be preserved.This spatial modeling research highlights the need to integrate conservation strategies into urban planning, particularly through the creation of corridor networks, with an emphasis on nature-based solutions for urban biodiversity.

International Journal of Sustainable Development and PlanningVol. 20(5)
Life in Land
Openalex Percentile: Top 87%
Sustainability and Ecological Systems Analysis
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