Environment suitability mapping of livestock: A case study of Ethiopian indigenous sheep and goats

dc.creatorAtassi, Layal
dc.creatorHaile, Aynalem
dc.creatorSolomon, Dawit
dc.creatorDemissie, Teferi Dejene
dc.creatorRischkowsky, Barbara A.
dc.creatorBiradar, Chandrashekhar M.
dc.creatorMwacharo, Joram M.
dc.date2022-11
dc.date2022-09-05T10:19:28Z
dc.date2022-09-05T10:19:28Z
dc.date.accessioned2026-06-27T14:22:48Z
dc.descriptionDemand for livestock products is increasing as climate volatility threatens animal productivity and welfare. Therefore, novel technologies and approaches to meet these challenges are required. Geo-informatics and geo-visualization can address a critical question in this endeavor -where can improved indigenous, newly developed and composite breeds be introduced while retaining optimal productivity and resilience to climatic and environmental volatility? Here, a case study of four and two Ethiopian indigenous breeds of sheep (Atsbi, Doyogena, Horro, Menz) and goats (Abergelle, Yabello), and geo-informatics based spatial analytics generating, for each breed, a suitability index map is presented. The analysis reveals overlapping and breed-specific enviro-geographic and ecological suitability niches. More than 51% of Ethiopia is unsuitable for the optimal performance of the six breeds. The proportions of unsuitable land are 64.84% (Menz), 53.44% (Horro), 76.98% (Doyogena), 83.53% (Atsbi), 82.37% (Abergelle) and 63.89% (Yabello). The suitable production range for the four sheep breeds show a slight overlap, but that of the two goat breeds did not. The goats are best suited to the drylands, but the niche for Abergelle is in the north, and that of Yabello is in the south of Ethiopia. The heatmaps suggest that the mean annual temperature and precipitation have the largest contribution in the classification of geographic areas into suitability classes. Our results provide insights for targeting location specific species- and breed-interventions, and with climate change trajectories and natural resource base abundance, will be a major criterion for building resilient livestock production systems. Furthermore, ecological suitability mapping can allow practitioners to evaluate potential geographic ranges for newly-developed, experimental, and improved livestock breeds to design sustainable and innovative agro-ecological solutions.
dc.identifierhttps://hdl.handle.net/10568/121088
dc.identifier.urihttp://hdl.handle.net/123456789/77958
dc.languageen
dc.publisherElsevier
dc.relationhttps://hdl.handle.net/20.500.11766/9208
dc.relationhttps://hdl.handle.net/20.500.11766.1/F8LMUC
dc.relationhttps://hdl.handle.net/20.500.11766/9209
dc.relationhttps://hdl.handle.net/20.500.11766.1/K7H7HQ
dc.relationhttps://hdl.handle.net/20.500.11766/9210
dc.relationhttps://hdl.handle.net/20.500.11766.1/3G2PZB
dc.relationhttps://hdl.handle.net/20.500.11766/9211
dc.relationhttps://hdl.handle.net/20.500.11766.1/HC6ORC
dc.relationhttps://hdl.handle.net/20.500.11766/9212
dc.relationhttps://hdl.handle.net/20.500.11766.1/3PTSM2
dc.relationhttps://hdl.handle.net/20.500.11766/9213
dc.relationhttps://hdl.handle.net/20.500.11766.1/BOW4EN
dc.relationhttps://hdl.handle.net/20.500.11766/9214
dc.relationhttps://hdl.handle.net/20.500.11766.1/FK2/NOLRDD
dc.relationhttps://hdl.handle.net/20.500.11766/9215
dc.relationhttps://hdl.handle.net/20.500.11766.1/FK2/SFQFXV
dc.relationhttps://hdl.handle.net/20.500.11766/9216
dc.relationhttps://hdl.handle.net/20.500.11766.1/FK2/FVKFTC
dc.relationhttps://hdl.handle.net/20.500.11766/9217
dc.relationhttps://hdl.handle.net/20.500.11766.1/FK2/E8ULPK
dc.relationhttps://hdl.handle.net/20.500.11766/9218
dc.relationhttps://hdl.handle.net/20.500.11766.1/FK2/HZP9YK
dc.relationhttps://hdl.handle.net/20.500.11766/9219
dc.relationhttps://hdl.handle.net/20.500.11766.1/FK2/KNIMMJ
dc.relationhttps://hdl.handle.net/20.500.11766/9220
dc.relationhttps://hdl.handle.net/20.500.11766.1/FK2/YELSIX
dc.relationhttps://hdl.handle.net/20.500.11766/9221
dc.relationhttps://hdl.handle.net/20.500.11766.1/FK2/H9LODV
dc.relationhttps://hdl.handle.net/20.500.11766/9222
dc.relationhttps://hdl.handle.net/20.500.11766.1/FK2/DWH1CE
dc.relationhttps://hdl.handle.net/20.500.11766/9243
dc.relationhttps://hdl.handle.net/20.500.11766.1/FK2/AOFQB1
dc.relationhttps://hdl.handle.net/20.500.11766/9223
dc.relationhttps://hdl.handle.net/20.500.11766.1/FK2/7VFBCC
dc.relationhttps://hdl.handle.net/20.500.11766/9224
dc.relationhttps://hdl.handle.net/20.500.11766.1/FK2/KMMSWP
dc.relationhttps://hdl.handle.net/20.500.11766/9225
dc.relationhttps://hdl.handle.net/20.500.11766.1/FK2/SZR891
dc.relationhttps://hdl.handle.net/20.500.11766/9226
dc.relationhttps://hdl.handle.net/20.500.11766.1/FK2/BUPG2M
dc.relationhttps://hdl.handle.net/20.500.11766/9227
dc.relationhttps://hdl.handle.net/20.500.11766.1/FK2/4MM7WC
dc.relationhttps://hdl.handle.net/20.500.11766/9228
dc.relationhttps://hdl.handle.net/20.500.11766.1/FK2/ZVPGZM
dc.relationhttps://hdl.handle.net/20.500.11766/9229
dc.relationhttps://hdl.handle.net/20.500.11766.1/FK2/DYLS83
dc.relationhttps://hdl.handle.net/20.500.11766/9230
dc.relationhttps://hdl.handle.net/20.500.11766.1/FK2/T7L5Q6
dc.relationhttps://hdl.handle.net/20.500.11766/9231
dc.relationhttps://hdl.handle.net/20.500.11766.1/FK2/KRWKMY
dc.relationhttps://hdl.handle.net/20.500.11766/9232
dc.relationhttps://hdl.handle.net/20.500.11766.1/FK2/QYBLLT
dc.relationhttps://hdl.handle.net/20.500.11766/9233
dc.relationhttps://hdl.handle.net/20.500.11766.1/FK2/KO7EOY
dc.relationhttps://hdl.handle.net/20.500.11766/9234
dc.relationhttps://hdl.handle.net/20.500.11766.1/FK2/5TP9ZE
dc.relationhttps://hdl.handle.net/20.500.11766/9235
dc.relationhttps://hdl.handle.net/20.500.11766.1/FK2/9HN8MY
dc.relationhttps://hdl.handle.net/20.500.11766/9236
dc.relationhttps://hdl.handle.net/20.500.11766.1/FK2/8077WU
dc.relationhttps://hdl.handle.net/20.500.11766/9237
dc.relationhttps://hdl.handle.net/20.500.11766.1/FK2/WVSJYU
dc.relationhttps://hdl.handle.net/20.500.11766/9238
dc.relationhttps://hdl.handle.net/20.500.11766.1/FK2/34VVJI
dc.relationhttps://hdl.handle.net/20.500.11766/9239
dc.relationhttps://hdl.handle.net/20.500.11766.1/FK2/U35OSK
dc.relationhttps://hdl.handle.net/20.500.11766/9240
dc.relationhttps://hdl.handle.net/20.500.11766.1/FK2/YAAOP8
dc.relationhttps://hdl.handle.net/20.500.11766/9241
dc.relationhttps://hdl.handle.net/20.500.11766.1/FK2/8M3A5J
dc.relationhttps://hdl.handle.net/20.500.11766/9242
dc.relationhttps://hdl.handle.net/20.500.11766.1/FK2/BETDUR
dc.rightsOpen Access
dc.sourceAtassi, L., Haile, A., Solomon, D., Demissie, T., Rischkowsky, B., Biradar, C., & Mwacharo, J. M. (2022). Environment suitability mapping of livestock: A case study of Ethiopian indigenous sheep and goats. In Small Ruminant Research (Vol. 216, p. 106775). Elsevier BV. https://doi.org/10.1016/j.smallrumres.2022.106775
dc.subjectindigenous breeds
dc.subjectsmall ruminants
dc.subjectsheep
dc.subjectgoats
dc.subjectlivestock
dc.subjectadaptation
dc.subjectgis
dc.subjectgoal 1 no poverty
dc.subjectgeo-informatics
dc.subjectecological niche modeling
dc.subjectenvironmental health and biodiversity
dc.titleEnvironment suitability mapping of livestock: A case study of Ethiopian indigenous sheep and goats
dc.typeJournal Article

Archivos