生态学杂志2026，Vol.45Issue(1)：276-283,8.DOI:10.13292/j.1000-4890.202601.001
基于优化的MaxEnt模型的遵义乡土花椒适生区预测
Prediction of suitable distribution for Zunyi native Chinese prickly ash based on optimized MaxEnt
摘要
Abstract
Zunyi native Chinese prickly ash in Guizhou Province has excellent pericarp quality.Predicting the dis-tribution of suitable areas is of great significance for extending the cultivation of this species.Based on the informa-tion of 33 distribution points and 27 ecological factors,we adopted the MaxEnt model optimized by ENMeval com-bined with ArcGIS to predict the distribution of suitable areas for Zunyi native Chinese prickly ash,.and analyzed the main ecological factors affecting its distribution.The results showed that the receiver operating characteristic curve area(AUC)of the training sample under both 1970-2000 and 2050s climate conditions was higher than 0.9,indicating that the prediction result was reliable.The dominant ecological factors affecting the distribution of Zunyi native Chinese prickly ash were the precipitation of the driest month,the lowest temperature of the coldest month,isothermality,and the annual temperature range,with the cumulative contribution of those four factors being 97.3％.The areas of highly,moderately,and lowly suitable distribution of this species under the climate conditions of 1970-2000 were 1.35×104,0.93×104,and 0.57×104 km2,respectively.The highly suitable areas were mainly distributed in Chishui,northern Xishui,Tongzi,and Daozhen in northern Zunyi.The highly suitable area of Zunyi native Chinese prickly ash will decrease in both RCP26 and RCP45 climate scenarios by 2050,with the main re-duction areas being Xishui,Tongzi,and Daozhen.关键词
花椒/最大熵模型/ArcGIS/潜在适生区/气候变化Key words
Chinese prickly ash/maximum entropy model/ArcGIS/potentially suitable region/climate change引用本文复制引用
陈翠萍,王志琴,余红梅,周朝彬,王景燕..基于优化的MaxEnt模型的遵义乡土花椒适生区预测[J].生态学杂志,2026,45(1):276-283,8.基金项目
贵州省科技厅基础研究计划项目(黔科合基础-ZK[2022]一般579)、贵州省林业局应用基础研究项目(黔林科合[2022]39号)、国家重点研发计划项目(2018YFD1000605和2020YFD1000700)、赤水河流域环境保护与山地农业发展人才基地项目和贵州省教育厅自然科学研究项目(黔教技[2023]043号)资助. （黔科合基础-ZK[2022]一般579）
