Suitability analysis for Jatropha curcas production in Ethiopia - a spatial modeling approachReportar como inadecuado

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Environmental Systems Research

, 3:25

First Online: 16 December 2014Received: 14 April 2014Accepted: 21 November 2014


BackgroundJatropha is an oil-bearing plant growing in tropical and subtropical regions of the world within 30°N and 35°S latitudes. It is considered as a potential solution to the prevailing shortage of fossil fuel and environmental challenges. However, in most parts of Africa including Ethiopia, traditional land allocation systems for biodiesel investment do not involve integration of multiple variables. This research tries to introduce the advantages of Geographical Information Systems GIS and Spatial Analytical Hierarchy Process SAHP to identify suitable areas for jatropha production in Ethiopia. Combination of these methods enables integration of different environmental data in a multi-criteria analysis. The study will provide basic information in the biodiesel investment, which has been susceptible to failure due to poor land allocation. The methods used in this study will also be available for similar endeavors in the future.

ResultsIn general, although individual factor evaluations provided varying amounts of suitability, results of weighted overlay analysis for biophysical suitability evaluation using spatial modeling methods identified 15.07% 166,082 km, 76.57% 844,040 km and 8.36% 92114 km of the land as highly suitable, moderately suitable and not suitable for jatropha production, respectively.

ConclusionThe methods used in this study provided considerably reliable estimate of suitable sites for jatropha production in Ethiopia. In this study, the main limiting factors of jatropha production identified were elevation, climate temperature and rainfall extremities and water logging conditions. Suitable sites do not compete with existing land use systems ensuring that biodiesel production will not risk food security programs.

KeywordsSAHP GIS Land suitability Jatropha curcas L Spatial modeling AbbreviationsAHPAnalytical Hierarchy Process

BRTBoosted Regression Tree

CARTClassification and Regression Tree

CBOCommunity based organization

CIConsistency index

CRConsistency ratio

CRGEClimate Resilient Green Economy

DEMDigital Elevation Model

EPAEnvironmental Protection Authority

FAOFood and Agriculture Organization of the Unites Nations

GISGeographic Information Systems

GPSGlobal Positioning Systems

IBCInstitute of Biodiversity Conservation

MaxEntMaximum Entropy

MELCAMovement for Ecological Learning and Community Action

MMEMinistry of Mines and Energy

NBENational Bank of Ethiopia

NGONon-governmental organization

PRBPopulation Reference Bureau

RIRandom Consistency Index

SAHPSpatial Analytic Hierarchy Process

Electronic supplementary materialThe online version of this article doi:10.1186-s40068-014-0025-7 contains supplementary material, which is available to authorized users.

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Autor: Habitamu Taddese


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