Suitability for agroforestry implementation around Itombwe Natural Reserve (RNI), eastern DR Congo
Application of the Analytical Hierarchy Process (AHP) approach in geographic information system tool
Bibliographic Data
| ID | 19586186 |
|---|---|
| Authors | Géant Basimine Chuma (0000-0002-9023-2395, Université Evangélique en Afrique, corresponding author), Nadège Cizungu Cirezi (0000-0002-0133-2619, Université Evangélique en Afrique), Jean M Mondo (0000-0001-7197-6551, Université Evangélique en Afrique), Yannick Mugumaarhahama (0000-0002-4690-502X, Université Evangélique en Afrique), Deckas Mushamalirwa Ganza, Deckas Ganza (Rainforest Foundation Norway), Karume Katcho (0000-0003-1146-8808, Université Evangélique en Afrique), Gustave Nachigera Mushagalusa (Université Evangélique en Afrique), Serge Schmitz (0000-0002-3412-818X, University of Liège) |
| Year | 2021 |
| Volume | 6 |
| Pages | 100125 |
| Publication date | 2021-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Trees Forests and People (JOURNAL) |
| Journal identifiers | ISSN: 2666-7193 • E-ISSN: 2666-7193 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.tfp.2021.100125 |
| OpenAlex | W3184362545 |
| Language | EN |
| Citations received | 2 |
| References cited | 27 |
The choice of appropriate land use suitability based on specific environmental and socio-economic factors could ensure sustainable land resource management in rural areas. Different land use suitability assessment approaches exist and have been successfully applied for agroforestry systems, natural or semi-natural ecosystems. In this study, different land use suitability levels for agroforestry were assessed around the Itombwe Natural Reserve (RNI), eastern Democratic Republic of Congo (DRC). Information related to soil unity, topography, climate, road infrastructures, rivers, villages, land use and land cover were analyzed using the Analytical Hierarchy Process (AHP). Moreover, spatial analyses were conducted for determining the matrix that confronts adopted variables and their corresponding weights. After performing the analyses in ArcGIS 10.7, results allowed identifying four agroforestry suitability zones, ranging from very high (~29.2%), high (~22.3%), moderate (~34%) and low (~14.5%) suitable zones. Suitability classes varied with locations (districts). The zoning around the RNI and the produced suitability maps from this study provide a valuable resource for decision-making in targeting areas suitable for agroforestry, and thus, contribute in preserving the RNI from degradation related to inadequate anthropogenic practices
Analytic hierarchy process · Archaeology · Biology · Cartography · Economics · Environmental resource management · Geographic information system · Geography · Hierarchy · Natural resource · Nature reserve · Operations research · Agriculture and Rural Development Research · Computer Science · Engineering · Environmental Science · Multi-Criteria Decision Making · Soil and Land Suitability Analysis · Ecology · Forestry
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| Citations per year | 0.67 |
|---|---|
| Citation span | 2023 - 2024 (2) |
| Highly cited | No |