A decision support tool for targeting inland valleys with high potential for agricultural development and biodiversity and ecosystem services preservation

Inland valleys are defined as the upper parts of river drainage systems with a complete toposequence from the interfluves to the valley bottom with its seasonally waterlogged depression. Due to their specific hydrological conditions, where the bottom of the valley has predominant water seasonally or...

Full description

Bibliographic Details
Main Authors: Dossou-Yovo, Elliott Ronald, Akpoti, Komlavi
Format: Informe técnico
Language:Inglés
Published: Accelerating Impacts of CGIAR Climate Research for Africa 2022
Subjects:
Online Access:https://hdl.handle.net/10568/119809
_version_ 1855519459572187136
author Dossou-Yovo, Elliott Ronald
Akpoti, Komlavi
author_browse Akpoti, Komlavi
Dossou-Yovo, Elliott Ronald
author_facet Dossou-Yovo, Elliott Ronald
Akpoti, Komlavi
author_sort Dossou-Yovo, Elliott Ronald
collection Repository of Agricultural Research Outputs (CGSpace)
description Inland valleys are defined as the upper parts of river drainage systems with a complete toposequence from the interfluves to the valley bottom with its seasonally waterlogged depression. Due to their specific hydrological conditions, where the bottom of the valley has predominant water seasonally or throughout the year, inland valleys have a favorable agricultural production, especially for the rice crop. Thus, the inland valleys are considered Africa's future food baskets. While Africa Rice Centre has deployed considerable efforts in characterizing inland valleys ecology in West Africa in recent years, there is still a need to develop actionable maps of inland valleys in terms of the geodatabase and their suitability for rice production in the region. These outputs (geodatabase and suitability) are needed to support project development and implementation for NGOs, and research institutions and to orient government policies aiming at expanding cropland in inland valleys with limited impact on biodiversity and ecosystem services. International Water Management Institute and AfricaRice developed a decision support system to map inland valleys and their potential for agricultural development in Mali using integrated fuzzy-based morphometry multi-scale and ecological niche modeling approach. The integrated approach developed was validated with an accuracy over 90% for both the testing and training datasets. In total, 6,815,205 ha of inland valleys were located, mapped, and characterized using both biophysical and socio-economic variables. Of the total inland valleys area, 802761 ha were mapped as suitable for rice-based systems development, while the remaining 6012444 ha were mapped as suitable for biodiversity and ecosystem services preservation. The tool can be used by the national government, investors, agronomists, and potential land users to identify inland valleys where cropland expansion, sustainable intensification, and ecosystem services preservations could all be feasible.
format Informe técnico
id CGSpace119809
institution CGIAR Consortium
language Inglés
publishDate 2022
publishDateRange 2022
publishDateSort 2022
publisher Accelerating Impacts of CGIAR Climate Research for Africa
publisherStr Accelerating Impacts of CGIAR Climate Research for Africa
record_format dspace
spelling CGSpace1198092025-11-11T16:47:02Z A decision support tool for targeting inland valleys with high potential for agricultural development and biodiversity and ecosystem services preservation Dossou-Yovo, Elliott Ronald Akpoti, Komlavi agriculture climate-smart agriculture climate change Inland valleys are defined as the upper parts of river drainage systems with a complete toposequence from the interfluves to the valley bottom with its seasonally waterlogged depression. Due to their specific hydrological conditions, where the bottom of the valley has predominant water seasonally or throughout the year, inland valleys have a favorable agricultural production, especially for the rice crop. Thus, the inland valleys are considered Africa's future food baskets. While Africa Rice Centre has deployed considerable efforts in characterizing inland valleys ecology in West Africa in recent years, there is still a need to develop actionable maps of inland valleys in terms of the geodatabase and their suitability for rice production in the region. These outputs (geodatabase and suitability) are needed to support project development and implementation for NGOs, and research institutions and to orient government policies aiming at expanding cropland in inland valleys with limited impact on biodiversity and ecosystem services. International Water Management Institute and AfricaRice developed a decision support system to map inland valleys and their potential for agricultural development in Mali using integrated fuzzy-based morphometry multi-scale and ecological niche modeling approach. The integrated approach developed was validated with an accuracy over 90% for both the testing and training datasets. In total, 6,815,205 ha of inland valleys were located, mapped, and characterized using both biophysical and socio-economic variables. Of the total inland valleys area, 802761 ha were mapped as suitable for rice-based systems development, while the remaining 6012444 ha were mapped as suitable for biodiversity and ecosystem services preservation. The tool can be used by the national government, investors, agronomists, and potential land users to identify inland valleys where cropland expansion, sustainable intensification, and ecosystem services preservations could all be feasible. 2022-06-10 2022-06-10T14:27:34Z 2022-06-10T14:27:34Z Report https://hdl.handle.net/10568/119809 en Open Access application/pdf Accelerating Impacts of CGIAR Climate Research for Africa Dossou-Yovo E, Akpoti K. 2022. A decision support tool for targeting inland valleys with high potential for agricultural development and biodiversity and ecosystem services preservation. Accelerating Impacts of CGIAR Climate Research for Africa (AICCRA).
spellingShingle agriculture
climate-smart agriculture
climate change
Dossou-Yovo, Elliott Ronald
Akpoti, Komlavi
A decision support tool for targeting inland valleys with high potential for agricultural development and biodiversity and ecosystem services preservation
title A decision support tool for targeting inland valleys with high potential for agricultural development and biodiversity and ecosystem services preservation
title_full A decision support tool for targeting inland valleys with high potential for agricultural development and biodiversity and ecosystem services preservation
title_fullStr A decision support tool for targeting inland valleys with high potential for agricultural development and biodiversity and ecosystem services preservation
title_full_unstemmed A decision support tool for targeting inland valleys with high potential for agricultural development and biodiversity and ecosystem services preservation
title_short A decision support tool for targeting inland valleys with high potential for agricultural development and biodiversity and ecosystem services preservation
title_sort decision support tool for targeting inland valleys with high potential for agricultural development and biodiversity and ecosystem services preservation
topic agriculture
climate-smart agriculture
climate change
url https://hdl.handle.net/10568/119809
work_keys_str_mv AT dossouyovoelliottronald adecisionsupporttoolfortargetinginlandvalleyswithhighpotentialforagriculturaldevelopmentandbiodiversityandecosystemservicespreservation
AT akpotikomlavi adecisionsupporttoolfortargetinginlandvalleyswithhighpotentialforagriculturaldevelopmentandbiodiversityandecosystemservicespreservation
AT dossouyovoelliottronald decisionsupporttoolfortargetinginlandvalleyswithhighpotentialforagriculturaldevelopmentandbiodiversityandecosystemservicespreservation
AT akpotikomlavi decisionsupporttoolfortargetinginlandvalleyswithhighpotentialforagriculturaldevelopmentandbiodiversityandecosystemservicespreservation