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Current and future predicting potential areas of Oxytenanthera abyssinica(***)using MaxEnt model under climate change in Northern Ethiopia

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Ecological Processes 2020年第1期9卷 59-73页

作者： Yikunoamlak Gebrewahid Selemawi Abrehe Esayas Meresa Gebru Eyasu kiros abay Gebrehiwot Gebreab kiros Kidanemariam Gezu Adissu Gebrekidan Abreha Girmay Darcha Mekelle Agricultural Research Center(MARC) Tigray Agricultural Research Institute(TARI)P.O.Box 256TigrayEthiopia Mekelle Soil Research Center(MSRC) Tigray Agricultural Research Institute(TARI)P.O.Box 1070TigrayEthiopia Humera Agricultural Research Center(HuARC) Tigray Agricultural Research Institute(TARI)P.O.Box 62TigrayEthiopia Abergele Agricultural Research Center(AARC) Tigray Agricultural Research Institute(TARI)P.O.Box 44TigrayEthiopia Shire-Mytsebri Agricultural Research Center(SmARC) Tigray Agricultural Research Institute(TARI)P.O.Box 241TigrayEthiopia

Introduction:Climate change will either improve,reduce,or shift its appropriate climatic habitat of a particular species,which could result in shifts from its geographical *** the potential distribution through MaxEnt modeling has been developed as an appropriate tool for assessing habitat distribution and resource conservation to protect bamboo ***:Our objective is to model the current and future distribution of Oxytenanthera abyssinica(***)based on three representative concentration pathways(RCP)(RCP2.6,RCP4.5,and RCP8.5)for 2050s and 2070s using a maximum entropy model(MaxEnt)in Northern *** modeling procedure,77 occurrence records and 11 variables were retained to simulate the current and future distributions of Oxytenanthera abyssinica in Northern *** evaluate the performance of the model,the area under the receiver operating characteristic(ROC)curve(AUC)was ***:All of the AUCs(area under curves)were greater than 0.900,thereby placing these models in the“excellent”*** jackknife test also showed that precipitation of the coldest quarter(Bio19)and precipitation of the warmest quarter(Bio18)contributed 66.8%and 54.7%to the *** the area of current distribution,1367.51 km2(2.52%),7226.28 km2(13.29%),and 5377.26 km2(9.89%)of the study area were recognized as high,good,and moderate potential habitats of Oxytenanthera abyssinica in Northern Ethiopia,and the high potential area was mainly concentrated in Tanqua Abergele(0.70%),Kola Temben(0.65%),Tselemti(0.60%),and Tsegede(0.31%).Kafta Humera was also the largest good potential area,which accounts for 2.75%.Compared to the current distribution,the total area of the high potential regions and good potential regions for Oxytenanthera abyssinica under the three RCPs(RCP2.6,RCP4.5,and RCP8.5)would increase in the 2050s and ***,the total area of the least potential regions under the three RCPs(RCP2.6,RCP4.5,and RCP8.5)in 2050s and 2070s would

关键词： Oxytenanthera abyssinica MaxEnt model Climate change

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Evaluation of land suitability for Moringa oleifera tree cultivation by using Geospatial technology:The case of Dhidhessa Catchment,abay Basin,Ethiopia

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Oil Crop Science 2023年第1期8卷 45-55页

作者： Mitiku Badasa Moisa Muleta Ebissa Feyissa Indale Niguse Dejene Firdissa Sadeta Tiye kiros Tsegay Deribew Zenebe Reta Roba Mengistu Muleta Gurmessa Dessalegn Obsi Gemeda Department of Agricultural Engineering Faculty of TechnologyWollega University Shambu CampusEthiopia Department of Earth Sciences College of Natural and Computational SciencesWollega University Nekemte CampusNekemteEthiopia Department of Geography and Environmental Studies Wollega UniversityGimbi CampusGimbiEthiopia Department of Geography and Environmental Studies Raya UniversityMaichewEthiopia Department of Forestry College of Natural Resource and Agricultural EconomicsMettu University Bedele CampusEthiopia Department of Fisheries and Aquatic Sciences Faculty of AgricultureWollega University Shambu CampusShambuEthiopia Department of Natural Resource Management College of Agriculture and Veterinary MedicineJimma UniversityEthiopia

Land suitability analysis of Moringa oleifera tree cultivation is important to enhance its product,as the demand forthis tree for medicinal values and food sources is increasing ***,this study aimed to assess suitableland for Moringa oleifera tree cultivation by using the integration of multi-criteria evaluation with geospatialtechnologies in the Dhidhessa catchment,western *** parameters,namely:slope,land use and landcover(LULC),soil texture,land surface temperature,and rainfall data,were used in this *** land suitabilityevaluation of Moringa oleifera is classified into three classes as highly suitable,moderately suitable,and *** results revealed that,about 344.4 km2(12.2%)of the area is categorized into highly suitable,and2343.7 km2(83%)is moderately suitable for Moringa tree,whereas,137.2 km2(4.9%)is categorized as notsuitable for Moringa oleifera tree ***,based on the finding of the study,we suggested that farmers andother stakeholders can cultivate Moringa oleifera trees in the Dhidhessa catchment.

关键词： Moringa tree Medicinal plant Overlay analysis AHP MCE

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