气候变化领域集成服务门户(CCPortal): The use of ecological niche models improves biogeographic regionalization of the Balsas Depression, Mexico

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DOI	10.1111/jvs.13261
	The use of ecological niche models improves biogeographic regionalization of the Balsas Depression, Mexico
	Flores-Tolentino, Mayra; Villasenor, Jose Luis; Ibarra-Manriquez, Guillermo; Rodriguez, Rolando Ramirez; Morales-Linares, Jonas; Dorado, Oscar
发表日期	2024
ISSN	1100-9233
EISSN	1654-1103
起始页码	35
结束页码	3
卷号	35 期号:3
英文摘要	AimBiogeographic regionalization classifies zones in terms of their biotas and contributes to understanding the ecological and historical factors that affect the distribution of species. We use Ecological Niche Modeling (ENM) to complement missing information on species distribution and thus improve the accuracy of biogeographic boundaries.LocationBalsas Depression Floristic Province, Mexico.MethodsBased on parameters documented in herbarium collections and environmental variables, ENM was carried out to determine the most suitable environmental conditions for a species to thrive (i.e., the species' ecological niche). The ENM and spatial analysis were used to obtain the biogeographic regionalization of the seasonally dry tropical forest (SDTF) in the Balsas Depression (BD), Mexico, through spatial analysis. Using the Maxent algorithm, we constructed ecological niche models (ENMs) of 134 flowering plant species distributed preferentially in the SDTF (characteristic species), most of them endemic to the BD. Subsequently, we obtained an incidence matrix based on the information from the 134 ENMs, which was used to analyze the turnover of species in Biodiverse software. The turnover matrix was used for Non-metric Multidimensional Scaling (NMDS) ordination and clustering analyses. Finally, the environmental predictors most related to species turnover were identified using the relative environmental turnover method.ResultsThe clustering analysis divided the SDTF in the BD into four floristic districts - two located in its western part and two in the eastern region. The NMDS differentiated, in the first component, two districts in the western region and one in the eastern. Seven environmental variables contributed significantly to explaining the turnover of species in these districts; the most significant were the elevation, pH, and precipitation of the coldest quarter.Main ConclusionsThe use of ENM for the regionalization of areas with high species richness allows for a more detailed classification of subregions and the distribution patterns of the species that define their limits. This provides a more solid theoretical basis for the investigation of biogeographic patterns. The sum of 134 ecological niche models of endemic and/or characteristic species of the Balsas Depression represents the potential distribution of the plant diversity of the seasonally dry tropical forest.image
英文关键词	biogeography; distribution patterns; endemism; environmental turnover; Maxent; spatial analysis; species distribution; turnover species
语种	英语
WOS研究方向	Plant Sciences ; Environmental Sciences & Ecology ; Forestry
WOS类目	Plant Sciences ; Ecology ; Forestry
WOS记录号	WOS:001216697100001
来源期刊	JOURNAL OF VEGETATION SCIENCE
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/305306
作者单位	Universidad Autonoma del Estado de Morelos; Universidad Nacional Autonoma de Mexico; Benemerita Universidad Autonoma de Puebla; Universidad Autonoma del Estado de Morelos
推荐引用方式 GB/T 7714	Flores-Tolentino, Mayra,Villasenor, Jose Luis,Ibarra-Manriquez, Guillermo,et al. The use of ecological niche models improves biogeographic regionalization of the Balsas Depression, Mexico[J],2024,35(3).
APA	Flores-Tolentino, Mayra,Villasenor, Jose Luis,Ibarra-Manriquez, Guillermo,Rodriguez, Rolando Ramirez,Morales-Linares, Jonas,&Dorado, Oscar.(2024).The use of ecological niche models improves biogeographic regionalization of the Balsas Depression, Mexico.JOURNAL OF VEGETATION SCIENCE,35(3).
MLA	Flores-Tolentino, Mayra,et al."The use of ecological niche models improves biogeographic regionalization of the Balsas Depression, Mexico".JOURNAL OF VEGETATION SCIENCE 35.3(2024).