Untangling key abiotic predictors of terrestrial mammal diversity patterns across ecoregions and species groups in Kenya

	Untangling key abiotic predictors of terrestrial mammal diversity patterns across ecoregions and species groups in Kenya
	Onditi, KO; Song, WY; Li, XY; Musila, S; Chen, ZZ; Li, Q; Mathenge, J; Kioko, E; Jiang, XL
	2023
发表期刊	ECOLOGICAL INDICATORS
ISSN	1470-160X
卷号	154
摘要	Understanding the interactions between abiotic (environmental and anthropogenic) factors and species diversity and distribution patterns is fundamental to improving the ecological representativeness of biodiversity man-agement tools such as protected areas (PAs). However, significant knowledge gaps remain about how species' ecological and evolutionary opportunities are associated with abiotic factors, especially in biodiversity-rich but economically ill-equipped countries such as Kenya. Here, we explored the interactions of terrestrial mammal diversity patterns and abiotic factors across species groups and ecoregions in Kenya. We coupled data on terrestrial mammal occurrences, phylogeny, functional traits, and environmental predictors in Kenya to derive multiple diversity indices, encompassing species richness and phylogenetic and functional richness, and mean pairwise and nearest taxon distances. We explored the interactions of these indices with several abiotic factors using multivariate regression analyses while adjusting for spatial autocorrelation. The results showed weak correlations between species richness versus the phylogenetic and functional diversity indices. The best-fit models explained variable proportions of diversity indices between species groups and ecoregions and consis-tently retained annual temperature and precipitation averages and seasonality and human footprint as the strongest predictors. Compared to the species-poor xeric northern and eastern Kenya regions, the predictors had weak associations with diversity variances in the species-rich mesic western and central Kenya regions, similar to focal species groups compared to ordinal classifications and the combined species pool. These findings illustrate that climate and human footprint interplay determine multiple facets of terrestrial mammal diversity patterns in Kenya. Accordingly, curbing human activities degrading long-term climatic regimes is vital to ensuring the ecological integrity of terrestrial mammal communities and should be integrated into biodiversity management frameworks. For a holistic representation of critical conservation areas, biodiversity managements should also prioritize terrestrial mammal phylogenetic and functional attributes besides species richness.
收录类别	SCI
语种	英语
文献类型	期刊论文
条目标识符	http://ir.kiz.ac.cn/handle/152453/14174
专题	科研部门_兽类生态与进化（蒋学龙）
推荐引用方式 GB/T 7714	Onditi, KO,Song, WY,Li, XY,et al. Untangling key abiotic predictors of terrestrial mammal diversity patterns across ecoregions and species groups in Kenya[J]. ECOLOGICAL INDICATORS,2023,154.
APA	Onditi, KO.,Song, WY.,Li, XY.,Musila, S.,Chen, ZZ.,...&Jiang, XL.(2023).Untangling key abiotic predictors of terrestrial mammal diversity patterns across ecoregions and species groups in Kenya.ECOLOGICAL INDICATORS,154.
MLA	Onditi, KO,et al."Untangling key abiotic predictors of terrestrial mammal diversity patterns across ecoregions and species groups in Kenya".ECOLOGICAL INDICATORS 154(2023).

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