基于优化MaxEnt模型的板齿鼠Bandicota indica在中国适生区预测与分析

板齿鼠Bandicota indica对农作物危害极大, 传播多种人兽共患疾病且扩散能力强?及时掌握板齿鼠种群动态及其分布区动态, 对其监测?预警及防控具有参考意义?本文对板齿鼠分布数据的筛选方法和MaxEnt模型参数的设置进行优化, 使用R软件的ENMeval程序包对48个参数组合进行测试, 筛选出构建MaxEnt模型的最优参数?基于板齿鼠分布数据和参数优化的MaxEnt模型预测板齿鼠在中国适生区的分布, 结果表明, 板齿鼠在中国的适生区分布于广东?广西?台湾?福建?云南?四川?贵州?江西?海南?西藏?浙江等, 总面积为68.6万km2, 占研究区面积的7.23%左右?最暖季降水量?等温性和年均温是影响板齿鼠分布的主导环境因子?本研究不仅模拟了板齿鼠在我国的潜在地理分布, 更为该鼠的分布与环境变量之间关系的研究提供了理论参考?

Prediction and analysis of potential suitable habitats of Bandicota indica in China based on optimized MaxEnt model

Bandicota indica causes serious damage to crops, transmits a variety of zoonoses and has a high dispersal capability, and thus understanding its population dynamics and distribution dynamics is significant for the monitoring, early warning and prevention of this rodent. The selection method of distribution data of B. indica and the parameter setting of MaxEnt software were optimized in this study. The optimal parameters were selected for MaxEnt model from 48 different parameter combinations by using the R program package ENMeval. The MaxEnt model based on the distribution data and optimal parameters was used to predict the potential distribution of B. indica in China. The prediction results showed that the suitable habitats of B. indica in China were distributed in Guangdong, Guangxi, Taiwan, Fujian, Yunnan, Sichuan, Guizhou, Jiangxi, Hainan, Tibet, Zhejiang. The total area of suitable habitats was 686 000 km2, accounting for about 7.23% of the total land area of China. Precipitation of the warmest quarter, isothermality and annual mean temperature were the main environmental variables affecting the distribution of B. indica. The results of this study not only predicted the suitable distribution areas of B. indica in China, but also provide theoretical references for the study of the relationship between the distribution of B. indica and environmental variables.