作者: Siliang Lin , Yaozhu Jiang , Jiekun He , Guangzhi Ma , Yang Xu
DOI: 10.7717/PEERJ.3320
关键词: Forest restoration 、 Old-growth forest 、 Productivity 、 Geography 、 Fragmentation (computing) 、 Forest ecology 、 Deforestation 、 Intact forest landscape 、 Agroforestry 、 Random forest
摘要: The study of the past, present, and future state dynamics tropical natural forest cover (NFC) might help to better understand pattern deforestation fragmentation as well influence social processes. obtained information will support development effective conservation policies strategies. In present study, we used historical data road network, topography, climatic productivity reconstruct NFC maps Hainan Island, China, from 1950s 2010s, using random algorithm. We investigated spatial temporal patterns change 2010s found that it was highly dynamic in both space time. Our showed grid cells with low were more vulnerable decrease, suggesting actions regarding forests need focus on regions high ecological value. also identified hot spots change, which provides insights into changes over