School of Economics, Central South University of Forestry and Technology, No.498, Shaoshan South Road, Changsha, Hunan Province, 410004, China.
School of Economics and Management, Beijing Forestry University, No. 35, Tsinghua East Road, Haidian District, Beijing, 100083, China.
Environ Sci Pollut Res Int. 2020 Jun;27(17):21213-21230. doi: 10.1007/s11356-020-08408-w. Epub 2020 Apr 8.
Rapid urbanization and the excessive human harvesting of forests have led to a continuous decline in the carrying capacity of forests in China. As a result, quantitative means of measuring forest resource carrying capacity are greatly needed, with a view to identifying problem areas and their causes and formulating effective response strategies. This paper puts forward a framework and methodology for constructing a forest resource carrying capacity index (FRCCI). To do this, we first calculate a forest ecological security index (FESI), using an evaluation index system. Ideal FESI values are then simulated by introducing a forest ecological location coefficient (FELC), and the FRCCI is obtained as the difference between the ideal FESI and the FESI. The study considers the 1086 counties that compose the Yangtze River Economic Belt in China, using forest and socioeconomic data for 2015. The resulting FRCCI values indicate that the forests of Yunnan province are generally in a state of "no overload," while Sichuan, Guizhou, Chongqing, Hunan, Hubei, Jiangxi, and Zhejiang provinces occupied a state of "critical overload" and Anhui and Jiangsu provinces experienced "general overload." The spatial pattern of the FRCCI in the study region presented significant centralization, with high FRCCI values mainly clustered in areas in the upper reaches of the Yangtze River and low FRCCI values mainly clustered in areas in the midstream and downstream reaches of the River. The study identifies 416 counties identified as forest carrying capacity problem areas (38.31% of the study area); these areas were mainly concentrated in Shanghai and Anhui province. We argue that a number of measures would be helpful in improving FRCCI values, including promoting the forest state index by strengthening reforestation as well as afforestation, reducing the external pressure on forests by means of energy saving and emission reduction strategies, and formulating comprehensive policy measures to promote the carrying capacity of forests in the whole study area and in the problem areas.
快速的城市化和人类对森林的过度采伐导致中国森林的承载能力持续下降。因此,迫切需要采用定量手段来衡量森林资源承载能力,以识别问题区域及其原因,并制定有效的应对策略。本文提出了构建森林资源承载能力指数(FRCCI)的框架和方法。为此,我们首先使用评价指标体系计算森林生态安全指数(FESI),然后通过引入森林生态区位系数(FELC)来模拟理想的 FESI 值,并将理想 FESI 值与 FESI 值之间的差值作为 FRCCI。本研究考虑了中国长江经济带的 1086 个县,使用了 2015 年的森林和社会经济数据。得出的 FRCCI 值表明,云南省的森林总体处于“无过载”状态,而四川、贵州、重庆、湖南、湖北、江西和浙江省处于“临界过载”状态,安徽和江苏省则经历了“一般过载”。研究区域的 FRCCI 空间格局呈现出显著的集中化,高 FRCCI 值主要集中在长江上游地区,低 FRCCI 值主要集中在中下游地区。研究共识别出 416 个森林承载能力问题区域(占研究区域的 38.31%);这些区域主要集中在上海和安徽省。我们认为,采取多种措施有助于提高 FRCCI 值,包括通过加强造林和再造林来提高森林状态指数,通过节能减排战略来减少森林的外部压力,以及制定全面的政策措施来促进整个研究区域和问题区域的森林承载能力。