Examining the spatiotemporal change of forest resource carrying capacity of the Yangtze River Economic Belt in China

Exploring the Role of Forest Resources Abundance on Economic Development in the Yangtze River Delta Region: Application of Spatial Durbin SDM Model

“…The carrying capacity of forest resources is also affected by urbanization and over-harvesting of forests, especially in Jiangsu and Anhui, where the carrying capacity of forest resources is generally overloaded. Generally, afforestation, energy conservation, and emission reduction measures reduce external pressure on forests [46] by converting forest resource flow into forest resource stock, studying how to reduce dependence on foreign forest resources, adjusting industrial structure, and ultimately improving forest resource utilization structures and efficiency [47].…”

Fuzzy Correlation Evaluation of Forest Ecological Carrying Capacity Considering the Interaction between Attributes

“…where Sim is the similarity between two generalized trapezoidal fuzzy numbers which is defined by formula (2).…”

“…Tree leaves have the ability to purify air pollution, at the same time, tree roots can also maintain water and soil, prevent wind and fix sand. Forests have a certain absorption and purification effect on environmental pollution [2]. At present, human society is committed to the rapid development of the economy and technology, but it is also faced with many contradictions such as resources, ecological environment, and social and economic development.…”

“…In the evaluation of the regional forest's ecological carrying capacity, Li Yan [5] calculated the index of forest's ecological carrying capacity based on the PSR model, and studied the evolution law of the trajectory of the center of gravity of forest's ecological carrying capacity in Anhui Province from 2001 to 2016; Liao [3] used the entropy weight TOPSIS method to study the evolution law and dynamic relationship of forest's ecological carrying rate; Jiang et al [6] used the literature retrieval method, Delphi method, principal component analysis method, and AHP to construct the evaluation index system of forest ecological carrying capacity; Tang [2] proposed a framework and method for constructing a forest resource carrying capacity indicator, the ideal forest ecological security indicator was simulated by the forest ecological location coefficient, and using the difference between it and the forest ecological security index as the forest resource carrying capacity index for the crosssectional data of 1086 counties constituting the Yangtze River Economic Belt in China in 2015; Mi Yun et al [7] measured the current situation of environmental pollution through the entropy weight TOPSIS method, and analyzed the temporal and spatial distribution of forest ecological carrying capacity in Shaanxi Province from 2008 to 2017; Cui et al [8] used the entropy weight TOPSIS method to calculate the forest ecological carrying capacity and environmental pollution pressure index, then studied the evolution law of the forest ecological carrying rate; Song [9] put forward the forest environmental carrying capacity evaluation system from many aspects, and used the proposed depth learning model to comprehensively evaluate and predict the forest environmental carrying capacity of 40 cities in the Yangtze River Delta region of China; Moukhtar [10] quantified the environmental carrying capacity of the petrified forest protectorate in eastern Greater Cairo from three levels: physical carrying capacity(PCC), real carrying capacity(RCC) and effective carrying capacity(ECC); Zhu and Zhang [11] used the entropy weight method to determine the indicator weight, and analyzed the change of forest ecological carrying capacity in Changbai County, Jilin Province. Liao [12] developed a "direction-speedpattern" tri-dimensional framework, and assessed ecological carrying capacity(ECC) by incorporating the resource provision capacity and environmental support capacity.…”

Comparative Study on Relative Fossil Energy Carrying Capacity in China and the United States

“…Subsequently, various concepts and theories of carrying capacity were introduced in different development stages and resources conditions. These theories, mainly focusing on the carrying capacities of natural resources, among which the carrying capacities of land, minerals, forest, ocean, etc., have been studied for a long time and achieved fruitful research [11][12][13][14][15]. Carrying capacity is a kind of portrayal of the survival ratio and consumption coefficient among human, nature, and society, and it is a sustainable development capacity under the threshold of harmonious development without being broken [16].…”