Zhang Yuxiang, Guan Dongjie, Wu Lei, Su Xiangyuan, Zhou Lilei, Peng Guochuan
School of Smart City, Chongqing Jiaotong University, No.66 Xuefu Rd., Nan'an Dist., Chongqing 400074, China.
School of Smart City, Chongqing Jiaotong University, No.66 Xuefu Rd., Nan'an Dist., Chongqing 400074, China; State Key Laboratory of Mountain Bridge and Tunnel Engineering, Chongqing Jiaotong University, No.66 Xuefu Rd., Nan'an Dist., Chongqing 400074, China.
Sci Total Environ. 2022 Dec 15;852:158377. doi: 10.1016/j.scitotenv.2022.158377. Epub 2022 Aug 29.
Ecological compensation has become very common worldwide due to the imbalance in the development of modern society, economy, and the environment and the increased pressure on ecosystem carrying capacity. Nonetheless, the various approaches for quantifying ecological compensation standards differ significantly. Thus, the process for determining a reasonable ecological compensation threshold is important to understand. To ensure the maximization of ecosystem service supply and economic benefit incentives for farmers, this paper constructs a discriminant model of an ecological compensation threshold based on the minimum data approach and the most appropriate land use scenario to define the ecological compensation threshold of the Sloping Land Conversion Program in the upper Yangtze River basin. The results show that with an increase in the compensation price, the proportion of farmers participating in returning farmland to forests and grassland increases, and water conservation increases. However, the discriminant curve first increases to a certain threshold point and then decreases, after which the ecoefficiency rate obtained from the compensation decreases. The ecological compensation thresholds for Chongqing, Sichuan, Yunnan, Guizhou, Hubei, Qinghai, Gansu, Tibet and Shaanxi provinces are 17.74 yuan/m, 13.79 yuan/m, 19.1 yuan/m, 17.79 yuan/m, 15.28 yuan/m, 45.14 yuan/m, 17.23 yuan/m, 25.2 yuan/m and 22.36 yuan/m, respectively. This research examines ecological compensation standards in different watersheds throughout the world and discusses the relationship between ecological compensation and water conservation. The discriminant model of the ecological compensation threshold can provide a new reference for the implementation and management of ecological compensation policies.
由于现代社会、经济与环境发展的不平衡以及生态系统承载能力压力的增加,生态补偿在全球范围内已变得十分普遍。尽管如此,量化生态补偿标准的各种方法存在显著差异。因此,理解确定合理生态补偿阈值的过程很重要。为确保生态系统服务供给最大化以及对农民的经济利益激励,本文基于最小数据方法和最合适的土地利用情景构建了生态补偿阈值判别模型,以界定长江上游流域退耕还林还草工程的生态补偿阈值。结果表明,随着补偿价格的提高,参与退耕还林还草的农民比例增加,水源涵养量也增加。然而,判别曲线先上升至某一阈值点后下降,此后从补偿中获得的生态效率降低。重庆、四川、云南、贵州、湖北、青海、甘肃、西藏和陕西等省份的生态补偿阈值分别为17.74元/米、13.79元/米、19.1元/米、17.79元/米、15.28元/米、45.14元/米、17.23元/米、25.2元/米和22.36元/米。本研究考察了全球不同流域的生态补偿标准,并探讨了生态补偿与水源涵养之间的关系。生态补偿阈值判别模型可为生态补偿政策的实施与管理提供新的参考。