State Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Fujian Normal University, Fuzhou, Fujian, China.
Institute of Geography, Fujian Normal University, Fuzhou, Fujian, China.
Environ Monit Assess. 2020 Jan 20;192(2):125. doi: 10.1007/s10661-020-8076-x.
The spatial misallocation of ecological restoration and its associated economic costs may lead to ecological restoration failure. We analyzed environmental effects of ecological restoration measures, using data from runoff plots, and estimated the ecosystem states under different types of ecological restoration measures using a catastrophe model. We then assessed the spatial misallocation of restoration between sites, where natural restoration can still be used versus those where artificial restoration should be used instead, and estimated the resulting economic costs due to this misallocation in the Zhuxi watershed in the red soil hilly region of China. Results using the catastrophe model were different from those obtained solely based on linear analyses of the runoff plots. Linear models were found to not apply well to the distribution of ecological restoration measures because Changting County reapplied for funding from 2012 to 2017 to maintain projects. There was much spatial misallocation in the studied region, with artificial restoration used at many sites where natural restoration can still be used, which resulted in economic costs of 2453.00 × 10 Chinese renminbi (RMB) from 2012 to 2017. The catastrophe model could analyze the spatial misallocation of ecological restoration and its associated economic costs, and it could reveal the catastrophic phenomena that traditional approaches could not.
生态恢复的空间错位及其相关经济成本可能导致生态恢复失败。我们利用来自径流场的数据分析了生态恢复措施的环境影响，并利用突变模型估计了不同类型生态恢复措施下的生态系统状态。然后，我们评估了在竹溪流域（中国红壤丘陵区）的不同地点，自然恢复仍可利用与人工恢复应替代的恢复之间的恢复空间错位，并估计了这种错位导致的经济成本。突变模型的结果与仅基于径流场的线性分析得出的结果不同。线性模型不适用于生态恢复措施的分布，因为长汀县在 2012 年至 2017 年期间重新申请了资金来维持项目。研究区域存在大量的空间错位，许多本来可以自然恢复的地方却采用了人工恢复，这导致 2012 年至 2017 年期间经济成本为 2453.00×10 人民币。突变模型可以分析生态恢复的空间错位及其相关经济成本，并揭示传统方法无法揭示的灾难性现象。
