Estimating the nonlinear response of landscape patterns to ecological resilience using a random forest algorithm: Evidence from the Yangtze River Delta

Estimating the nonlinear response of landscape patterns to ecological resilience using a random forest algorithm: Evidence from the Yangtze River Delta

Ecological resilience (ER) is considered a key factor in resolving complex human and natural systems conflicts and managing risk during the period of rapid development. However, the importance of landscape patterns for ER is not given enough attention in previous studies. Therefore, we selected the...

Full description

Bibliographic Details
Main Authors: Xiaobin Ma, Jinhe Zhang, Peijia Wang, Leying Zhou, Yi Sun
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:Ecological Indicators
Subjects:
Landscape patterns
MSPA
Random forest regression algorithm
Ecological resilience
Ecosystem services
Yangtze River Delta region
Online Access:http://www.sciencedirect.com/science/article/pii/S1470160X23005514

Internet

http://www.sciencedirect.com/science/article/pii/S1470160X23005514

Similar Items