Morphological characterization and habitat suitability modeling of the goat population of Benin under climate change scenarios
作者机构:Ecole des Sciences et Techniques de Production AnimaleFacultédes Sci-ences AgronomiquesUniversitéd’Abomey-CalaviAbomey-CalaviBénin Laboratoire d’Ecologie AppliquéeFacultédes Sciences AgronomiquesUni-versitéd’Abomey-CalaviAbomey-CalaviBénin Laboratoire de Botanique et Ecologie VégétaleFacultédes Sciences et TechniquesUniversitéd’Abomey-CalaviAbomey-CalaviBénin Organic Plant Production and Agroecosys-tems Research in the Tropics and SubtropicsOrganic Agricultural SciencesUniversity of KasselWitzenhausenGermany.
出 版 物:《Ecological Processes》 (生态过程(英文))
年 卷 期:2022年第11卷第1期
页 面:631-653页
核心收录:
学科分类:07[理学] 070601[理学-气象学] 0706[理学-大气科学]
主 题:Capra hircus Climate change Ecological niche modeling Farm animal species MaxEnt model Morphology
摘 要:Background:Insufficient knowledge of the genetic and phenotypic diversity in the local Beninese goat population combined with the lack of understanding of its adaptive capacity to ongoing environmental and societal changes hampers the development of strategies for better management and genetic *** objective of this study was to establish the current geographical distribution of goats in Benin based on their morphology and model the potential habitat suitability of the three known main goat phenotypes(i.e.,Djallonkégoat or TypeⅠ,Sahelian goat or TypeⅡ,and their Crossbreeds or TypeⅢ)under climate change *** qualitative and 26 linear body measurements were taken on 2114 adult female goats sampled across the three vegetation zones of the *** ratios were generated from the quantitative *** data were analyzed using generalized linear model procedures followed by multiple comparisons of least-squares means and multivariate analytical methods,including canonical discrimination analysis and hierarchical ascendant *** goat was then assigned to one of the three aforementioned main goat phenotypes following its morphological characteristics and according to the a priori cluster membership defined in the previous *** Maximum Entropy algorithm was used to model the current and future distribution of the three goat phenotypes under climate change scenario using the Representative Conservation Pathways 4.5 and ***:All linear body measurements varied among vegetation *** the discriminant function analysis,71%of the measured individuals were correctly classified in their vegetation zone of origin by seven measured variables and three *** cluster procedure analysis revealed two groups of goats subdivided into the three main *** modeling results showed that the currently highly favorable habitats were distributed in the South for TypeⅠ,in the North for TypeⅡ,and both South and North for Type