Environment suitability mapping of livestock: A case study of Ethiopian indigenous sheep and goats
Demand 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...
| Main Authors: | , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
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Elsevier
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/121088 |
| _version_ | 1855518921597124608 |
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| author | Atassi, Layal Haile, Aynalem Solomon, Dawit Demissie, Teferi Dejene Rischkowsky, Barbara A. Biradar, Chandrashekhar M. Mwacharo, Joram M. |
| author_browse | Atassi, Layal Biradar, Chandrashekhar M. Demissie, Teferi Dejene Haile, Aynalem Mwacharo, Joram M. Rischkowsky, Barbara A. Solomon, Dawit |
| author_facet | Atassi, Layal Haile, Aynalem Solomon, Dawit Demissie, Teferi Dejene Rischkowsky, Barbara A. Biradar, Chandrashekhar M. Mwacharo, Joram M. |
| author_sort | Atassi, Layal |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Demand 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. |
| format | Journal Article |
| id | CGSpace121088 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace1210882025-10-26T12:54:34Z Environment suitability mapping of livestock: A case study of Ethiopian indigenous sheep and goats Atassi, Layal Haile, Aynalem Solomon, Dawit Demissie, Teferi Dejene Rischkowsky, Barbara A. Biradar, Chandrashekhar M. Mwacharo, Joram M. indigenous breeds small ruminants sheep goats livestock adaptation gis goal 1 no poverty geo-informatics ecological niche modeling environmental health and biodiversity Demand 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. 2022-11 2022-09-05T10:19:28Z 2022-09-05T10:19:28Z Journal Article https://hdl.handle.net/10568/121088 en https://hdl.handle.net/20.500.11766/9208 https://hdl.handle.net/20.500.11766.1/F8LMUC https://hdl.handle.net/20.500.11766/9209 https://hdl.handle.net/20.500.11766.1/K7H7HQ https://hdl.handle.net/20.500.11766/9210 https://hdl.handle.net/20.500.11766.1/3G2PZB https://hdl.handle.net/20.500.11766/9211 https://hdl.handle.net/20.500.11766.1/HC6ORC https://hdl.handle.net/20.500.11766/9212 https://hdl.handle.net/20.500.11766.1/3PTSM2 https://hdl.handle.net/20.500.11766/9213 https://hdl.handle.net/20.500.11766.1/BOW4EN https://hdl.handle.net/20.500.11766/9214 https://hdl.handle.net/20.500.11766.1/FK2/NOLRDD https://hdl.handle.net/20.500.11766/9215 https://hdl.handle.net/20.500.11766.1/FK2/SFQFXV https://hdl.handle.net/20.500.11766/9216 https://hdl.handle.net/20.500.11766.1/FK2/FVKFTC https://hdl.handle.net/20.500.11766/9217 https://hdl.handle.net/20.500.11766.1/FK2/E8ULPK https://hdl.handle.net/20.500.11766/9218 https://hdl.handle.net/20.500.11766.1/FK2/HZP9YK https://hdl.handle.net/20.500.11766/9219 https://hdl.handle.net/20.500.11766.1/FK2/KNIMMJ https://hdl.handle.net/20.500.11766/9220 https://hdl.handle.net/20.500.11766.1/FK2/YELSIX https://hdl.handle.net/20.500.11766/9221 https://hdl.handle.net/20.500.11766.1/FK2/H9LODV https://hdl.handle.net/20.500.11766/9222 https://hdl.handle.net/20.500.11766.1/FK2/DWH1CE https://hdl.handle.net/20.500.11766/9243 https://hdl.handle.net/20.500.11766.1/FK2/AOFQB1 https://hdl.handle.net/20.500.11766/9223 https://hdl.handle.net/20.500.11766.1/FK2/7VFBCC https://hdl.handle.net/20.500.11766/9224 https://hdl.handle.net/20.500.11766.1/FK2/KMMSWP https://hdl.handle.net/20.500.11766/9225 https://hdl.handle.net/20.500.11766.1/FK2/SZR891 https://hdl.handle.net/20.500.11766/9226 https://hdl.handle.net/20.500.11766.1/FK2/BUPG2M https://hdl.handle.net/20.500.11766/9227 https://hdl.handle.net/20.500.11766.1/FK2/4MM7WC https://hdl.handle.net/20.500.11766/9228 https://hdl.handle.net/20.500.11766.1/FK2/ZVPGZM https://hdl.handle.net/20.500.11766/9229 https://hdl.handle.net/20.500.11766.1/FK2/DYLS83 https://hdl.handle.net/20.500.11766/9230 https://hdl.handle.net/20.500.11766.1/FK2/T7L5Q6 https://hdl.handle.net/20.500.11766/9231 https://hdl.handle.net/20.500.11766.1/FK2/KRWKMY https://hdl.handle.net/20.500.11766/9232 https://hdl.handle.net/20.500.11766.1/FK2/QYBLLT https://hdl.handle.net/20.500.11766/9233 https://hdl.handle.net/20.500.11766.1/FK2/KO7EOY https://hdl.handle.net/20.500.11766/9234 https://hdl.handle.net/20.500.11766.1/FK2/5TP9ZE https://hdl.handle.net/20.500.11766/9235 https://hdl.handle.net/20.500.11766.1/FK2/9HN8MY https://hdl.handle.net/20.500.11766/9236 https://hdl.handle.net/20.500.11766.1/FK2/8077WU https://hdl.handle.net/20.500.11766/9237 https://hdl.handle.net/20.500.11766.1/FK2/WVSJYU https://hdl.handle.net/20.500.11766/9238 https://hdl.handle.net/20.500.11766.1/FK2/34VVJI https://hdl.handle.net/20.500.11766/9239 https://hdl.handle.net/20.500.11766.1/FK2/U35OSK https://hdl.handle.net/20.500.11766/9240 https://hdl.handle.net/20.500.11766.1/FK2/YAAOP8 https://hdl.handle.net/20.500.11766/9241 https://hdl.handle.net/20.500.11766.1/FK2/8M3A5J https://hdl.handle.net/20.500.11766/9242 https://hdl.handle.net/20.500.11766.1/FK2/BETDUR Open Access Elsevier Atassi, 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 |
| spellingShingle | indigenous breeds small ruminants sheep goats livestock adaptation gis goal 1 no poverty geo-informatics ecological niche modeling environmental health and biodiversity Atassi, Layal Haile, Aynalem Solomon, Dawit Demissie, Teferi Dejene Rischkowsky, Barbara A. Biradar, Chandrashekhar M. Mwacharo, Joram M. Environment suitability mapping of livestock: A case study of Ethiopian indigenous sheep and goats |
| title | Environment suitability mapping of livestock: A case study of Ethiopian indigenous sheep and goats |
| title_full | Environment suitability mapping of livestock: A case study of Ethiopian indigenous sheep and goats |
| title_fullStr | Environment suitability mapping of livestock: A case study of Ethiopian indigenous sheep and goats |
| title_full_unstemmed | Environment suitability mapping of livestock: A case study of Ethiopian indigenous sheep and goats |
| title_short | Environment suitability mapping of livestock: A case study of Ethiopian indigenous sheep and goats |
| title_sort | environment suitability mapping of livestock a case study of ethiopian indigenous sheep and goats |
| topic | indigenous breeds small ruminants sheep goats livestock adaptation gis goal 1 no poverty geo-informatics ecological niche modeling environmental health and biodiversity |
| url | https://hdl.handle.net/10568/121088 |
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