Main environmental variables influencing the abundance of plant species under risk category

作     者：Pablo Antúnez Pablo Antúnez

作者机构：División de Estudios de PosgradoUniversidad de la Sierra Juárez68725 Oax.México 

出 版 物：《Journal of Forestry Research》 (林业研究（英文版）)

年 卷 期：2022年第33卷第4期

页      面：1209-1217页

核心收录：

学科分类：07[理学] 0713[理学-生态学] 

基　　金：the National Council of Science and Technology of Mexico for the postdoc fellowship awarded 

主　　题：Correlative models Climate change Effect of topography Endemic species IUCN list Machine learning algorithms 

摘      要：Determining climatic and physiographic variables in Mexico’s major ecoregions that are limiting to biodiversity and species of high conservation concern is essential for their ***,at the national level to date,few studies have been performed with large data sets and crossconfirmation using multiple statistical ***,we used 25 endemic,rare and endangered species from 3610 sampling points throughout Mexico and 25 environmental attributes,including average precipitation for different seasons of the year,annual dryness index,slope of the terrain;and maximum,minimum and average temperatures to test our hypothesis that these species could be assessed with the same weight among all variables,showing similar indices of *** results using principal component analysis,covariation analysis by permutations,and random forest regression showed that summer precipitation,length of the frost-free period,spring precipitation,winter precipitation and growing season precipitation all strongly influence the abundance of tropical *** contrast,annual precipitation and the balance at different seasons(summer and growing season)were the most relevant variables on the temperate region *** dry areas,the minimum temperature of the coldest month and the maximum temperature of the warmest month were the most significant *** these different associations in different climatic regions could support a more precise management and conservation plan for the preservation of plant species diversity in forests under different global warming scenarios.