当前位置: X-MOL 学术Ecol. Eng. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Quantifying the impacts of lithology on vegetation restoration using a random forest model in a karst trough valley, China
Ecological Engineering ( IF 3.8 ) Pub Date : 2020-09-01 , DOI: 10.1016/j.ecoleng.2020.105973
Yina Qiao , Hui Chen , Yongjun Jiang

Abstract Karst regions in southwest China are characterized by vulnerable ecological environment. Knowledge on the driving factors of vegetation cover change could provide valuable information for ecological restoration management. However, quantitative identification of the key drivers for the vegetation restoration remains challenging in karst trough valleys. In this study, we used normalized difference vegetation index (NDVI) time series (2000–2016), Theil-Sen median analysis, Mann-Kendall trend test, and Hurst exponent to analyze the vegetation cover trends in a karst trough valley. The performance of multiple linear regression (MLR), generalized additive models (GAM), support vector machine (SVM), and random forest (RF) in accounting for vegetation cover change were compared. The results showed that vegetation cover trends for increasing, stable and decreasing accounted for 71.44%, 28.16% and 0.40% of the study area, respectively. Lithology had a significant effect on spatial patterns of temporal change and future sustainability in NDVI (p
更新日期:2020-09-01
down
wechat
bug