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

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...

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Autores principales: Géant Basimine Chuma, Nadège Cizungu Cirezi, Jean Mubalama Mondo, Yannick Mugumaarhahama, Deckas Mushamalirwa Ganza, Karume Katcho, Gustave Nachigera Mushagalusa, Serge Schmitz
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Publicado: Elsevier 2021
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GIS
Acceso en línea:https://doaj.org/article/6f9035ece92c478187083c272a70b64c
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spelling oai:doaj.org-article:6f9035ece92c478187083c272a70b64c2021-12-04T04:36:08ZSuitability for agroforestry implementation around Itombwe Natural Reserve (RNI), eastern DR Congo: Application of the Analytical Hierarchy Process (AHP) approach in geographic information system tool2666-719310.1016/j.tfp.2021.100125https://doaj.org/article/6f9035ece92c478187083c272a70b64c2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2666719321000649https://doaj.org/toc/2666-7193The 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.Géant Basimine ChumaNadège Cizungu CireziJean Mubalama MondoYannick MugumaarhahamaDeckas Mushamalirwa GanzaKarume KatchoGustave Nachigera MushagalusaSerge SchmitzElsevierarticleAgroforestryLand use suitabilityGISMulti-Criteria Analysis (MCA)RN ItombweForestrySD1-669.5Plant ecologyQK900-989ENTrees, Forests and People, Vol 6, Iss , Pp 100125- (2021)
institution DOAJ
collection DOAJ
language EN
topic Agroforestry
Land use suitability
GIS
Multi-Criteria Analysis (MCA)
RN Itombwe
Forestry
SD1-669.5
Plant ecology
QK900-989
spellingShingle Agroforestry
Land use suitability
GIS
Multi-Criteria Analysis (MCA)
RN Itombwe
Forestry
SD1-669.5
Plant ecology
QK900-989
Géant Basimine Chuma
Nadège Cizungu Cirezi
Jean Mubalama Mondo
Yannick Mugumaarhahama
Deckas Mushamalirwa Ganza
Karume Katcho
Gustave Nachigera Mushagalusa
Serge Schmitz
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
description 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.
format article
author Géant Basimine Chuma
Nadège Cizungu Cirezi
Jean Mubalama Mondo
Yannick Mugumaarhahama
Deckas Mushamalirwa Ganza
Karume Katcho
Gustave Nachigera Mushagalusa
Serge Schmitz
author_facet Géant Basimine Chuma
Nadège Cizungu Cirezi
Jean Mubalama Mondo
Yannick Mugumaarhahama
Deckas Mushamalirwa Ganza
Karume Katcho
Gustave Nachigera Mushagalusa
Serge Schmitz
author_sort Géant Basimine Chuma
title 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
title_short 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_sort 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
publisher Elsevier
publishDate 2021
url https://doaj.org/article/6f9035ece92c478187083c272a70b64c
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