Affiliation:
1. Ministry of Education Key Laboratory of Ecology and Resource Use of the Mongolian Plateau & Inner Mongolia Key Laboratory of Grassland Ecology School of Ecology and Environment Inner Mongolia University Hohhot China
2. Co–Innovation Center for Sustainable Forestry in Southern China College of Ecology and Environment Nanjing Forestry University Nanjing China
3. The Orchid Conservation and Research Centre of Shenzhen Shenzhen China
4. Department of Land Resource Management School of Public Administration China University of Geosciences Wuhan China
Abstract
AbstractNatural environmental factors and anthropogenic activities could have strong impacts on threatened species distribution. Based on Random Forest modeling and ordinary least squares models, we tested the correlations between natural environmental factors (mean annual temperature (MAT), mean annual precipitation (MAP) and elevation range), anthropogenic activities (changes in cropland area, population density and pasture area) over different periods (between 1700 and 1800, between 1800 and 1900, and between 1900 and 2000) and ratio of threatened orchids in China. The results showed that threatened orchids were concentrated in Southwest China, Central China and Northeast China. The ratio of threatened orchids was positively correlated with MAT and MAP, but negatively correlated with elevation range. In addition, the three anthropogenic activity variables most correlated with threatened orchids ratio were changes of cropland area between 1900 and 2000, population density between 1700 and 1800, and between 1800 and 1900. These correlations were positive, indicating that areas with more anthropogenic activities had more threatened orchids. Moreover, MAP and changes of cropland area between 1900 and 2000 together were more correlated with threatened orchids ratio than other variables. These findings suggest important roles of contemporary climate and anthropogenic activities in shaping the distribution of threatened orchid species in China.
Funder
Natural Science Foundation of Inner Mongolia Autonomous Region
National Key Research and Development Program of China
Publisher
American Geophysical Union (AGU)
Reference61 articles.
1. Random forests, machine learning 45;Breiman L.;Journal of Clinical Microbiology,2001
2. Tree of life for the genera of Chinese vascular plants