V. Cuevas-Reyes, Alfredo Loaiza, Obed Gutiérrez, Germán Buendía, C. Rosales-Nieto
{"title":"Typology of production units and livestock technologies for adaptation to drought in Sinaloa, Mexico","authors":"V. Cuevas-Reyes, Alfredo Loaiza, Obed Gutiérrez, Germán Buendía, C. Rosales-Nieto","doi":"10.47280/revfacagron(luz).v41.n1.06","DOIUrl":null,"url":null,"abstract":"Drought as an effect of climate change affects the productivity and sustainability of livestock systems. The objective of this study was to analyze how technological land management for adaptation to climate change adopted by livestock farmers in southern Sinaloa, Mexico, corresponds to the typologies identified in the study area. A non-probabilistic sampling was applied, selecting 50 production units (UP) in six municipalities of Sinaloa, whose information was analyzed by cluster analysis and descriptive statistics. It were identified three livestock typologies. Cluster 1 (46 %), was defined as subsistence since its production units (PU) has few animals and showed the smallest total surface area, the producers are the oldest and use the shade in paddocks and the adjustment of stocking rates as drought mitigation practices. Cluster 2 (46 %), sowed the medium productive behavior, are younger producers whose PU showed the largest area of crops and rangeland, this group adopted stocking rate adjustment, forage conservation and species diversification as mitigation measures. Cluster 3 (8 %) showed the highest total area, livestock inventory and productivity levels; drought mitigation decisions are focused on stocking rate adjustment and forage conservation. The study identified mitigation practices related to land use from the farmers' point of view. These results can be used to conduct studies in similar environments and to scale adaptation measures for climate change from the local level and by type of farmer.","PeriodicalId":509934,"journal":{"name":"Revista de la Facultad de Agronomía, Universidad del Zulia","volume":"79 3","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista de la Facultad de Agronomía, Universidad del Zulia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47280/revfacagron(luz).v41.n1.06","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Drought as an effect of climate change affects the productivity and sustainability of livestock systems. The objective of this study was to analyze how technological land management for adaptation to climate change adopted by livestock farmers in southern Sinaloa, Mexico, corresponds to the typologies identified in the study area. A non-probabilistic sampling was applied, selecting 50 production units (UP) in six municipalities of Sinaloa, whose information was analyzed by cluster analysis and descriptive statistics. It were identified three livestock typologies. Cluster 1 (46 %), was defined as subsistence since its production units (PU) has few animals and showed the smallest total surface area, the producers are the oldest and use the shade in paddocks and the adjustment of stocking rates as drought mitigation practices. Cluster 2 (46 %), sowed the medium productive behavior, are younger producers whose PU showed the largest area of crops and rangeland, this group adopted stocking rate adjustment, forage conservation and species diversification as mitigation measures. Cluster 3 (8 %) showed the highest total area, livestock inventory and productivity levels; drought mitigation decisions are focused on stocking rate adjustment and forage conservation. The study identified mitigation practices related to land use from the farmers' point of view. These results can be used to conduct studies in similar environments and to scale adaptation measures for climate change from the local level and by type of farmer.