西南林业大学学报2024，Vol.44Issue(5)：52-60,9.DOI:10.11929/j.swfu.202303072
基于标志种分布预测的哀牢山植被潜在分布及气候解释研究
Prediction on the Potential Distribution of Vegetation and Climate Interpretation Based on the Distribution of Indicative Species in Ailao Mountain
摘要
Abstract
Based on the 12 indicative species Ailao Mountain vegetation geographical information and 19 biological climate factor data as the research object.Using ArcGIS software research and MaxEnt model predict-ing species in the current climate background in China and the Ailao Mountain potential suitable area.The results show that the 5 types of vegetation MaxEnt model prediction accuracy is a very good level(AUC＞0.90).The main factors affecting the warm coniferous forest are mainly temperature annum range(bio7)and mean temperat-ure of coldest quarter(bio1 1);warm coniferous forest of the dominant factors precipitation of warmest quarter(bio 18),annual mean temperature(bio1),isothermality(bio3)and temperature annum range(bio7);the dominant factor of semi-humid evergreen broad-leaved forest is min temperature of coldest month(bio6),temperature sea-sonality(bio4),temperature annum range(bio7),mean temperature of coldest quarter(bio11)and annual mean temperature(bio1);the dominant factor of montane mois evergreen broad-leaved forest are mainly min temperat-ure of coldest month(bio6),temperature annum range(bio7),temperature seasonality(bio4),precipitation of warmest quarter(bio18)and precipitation of coldest quarter(bio 19);the dominant factor of the dry hot valleys sparse shrub grass is temperature seasonality(bio4),mean temperature of coldest quarter(bio11),min temperat-ure of coldest month(bio6),mean diurnal range(bio2),temperature annum range(bio7),precipitation of warmest quarter(bio18)and precipitation of driest month(bio14).Warm temperate coniferous forests and semi humid evergreen broad-leaved forests are mainly distributed in the high suitability areas of southwestern China and the central northern part of the Ailao Mountains.Warm temperate coniferous forests are mainly distributed in Yun-nan and the southwestern part of the Ailao Mountains in China.Wet evergreen broad-leaved forests in the middle mountains are mainly distributed in southwestern China,Taiwan,and the entire Ailao Mountains.Sparse shrubs and grass in dry and hot river valleys are mainly distributed in southwestern China,such as Guangdong,Guangxi,Fujian,Taiwan,and the central,southern,and northern parts of the Ailao Mountains.The simulation results of MaxEnt model can accurately reflect 5 types of vegetation,and provide reference for the protection and manage-ment of vegetation in Ailao Mountains.关键词
植被/标志种/MaxEnt模型/生物气候因子/适生区Key words
vegetation/indicative species/MaxEnt model/bioclimatic variable/suitable area分类
农业科技引用本文复制引用
何兰君,李林霞,欧光龙..基于标志种分布预测的哀牢山植被潜在分布及气候解释研究[J].西南林业大学学报,2024,44(5):52-60,9.基金项目
科技部科技基础资源调查专项(2019FY101600)资助 （2019FY101600）
云南省高层次人才培养计划青年拔尖人才专项(YNWRQN-BJ-2018-184)资助. （YNWRQN-BJ-2018-184）
