Study on Urban Land Ecological Security Pattern and Obstacle Factors in the Beijing–Tianjin–Hebei Region

Abstract

Land ecological security is the material basis of the sustainable development of human society. The coordinated development of the Beijing–Tianjin–Hebei region is a major national strategy of China. Land ecological security is of great significance to the coordinated development of the Beijing–Tianjin–Hebei region and the maintenance of China’s ecological security. In this paper, the pressure–state–response (PSR) model is used to construct an evaluation index system of land ecological security, an entropy-weight technique for order preference by similarity to ideal solution (TOPSIS) method is used to calculate the land ecological security index in the Beijing–Tianjin–Hebei region, and an obstacle degree model is used to reveal the obstacle factors. The results show that the overall level of land ecological security in the Beijing–Tianjin–Hebei region was low, and that the security level presented a pattern of “high in the north and low in the south”. The land ecological security level was mainly affected by the state subsystem and response subsystem, and the average index of the pressure subsystem was 0.543, which reached the safe state. The main obstacle factors are per capita grassland area, per capita forest area, green land rate of built-up area, urbanization rate, per capita cultivated land, etc. This study provides a theoretical basis for the construction of the land ecological security system, sustainable utilization of land resources and regional sustainable development in the Beijing–Tianjin–Hebei region and promotes the formation of a benign circulation pattern of land ecosystem and effective prevention and control of land ecological and environmental risks in the region.

Assessment of Land Ecological Security from 2000 to 2020 in the Chengdu Plain Region of China

“…Although this study constructs an indicator system based on the PSR model, taking into account various dimensions and aspects, the subjective nature of indicator selection introduces individual characteristics. For instance, GDP values have been used as indicators in the pressure dimension [72], as well as in the response dimension by considering industrial segmentation [73,74], and even as indicators in the state dimension by normalizing them per capita [72,75]. NDVI values, which reflect regional vegetation coverage, are commonly used for evaluating the state dimension [76], and some have further calculated forest coverage or green space coverage as indicators in the response dimension [72].…”

“…For instance, GDP values have been used as indicators in the pressure dimension [72], as well as in the response dimension by considering industrial segmentation [73,74], and even as indicators in the state dimension by normalizing them per capita [72,75]. NDVI values, which reflect regional vegetation coverage, are commonly used for evaluating the state dimension [76], and some have further calculated forest coverage or green space coverage as indicators in the response dimension [72]. Furthermore, the completeness of regional data can also affect indicator selection.…”

Research on Evaluation Method of Urban Human Settlement Environment Quality Based on Back Propagation Neural Network

“…In geography, the urban human settlement environment is more regarded as a large-scale geoinformation system [4], and urban structure is more discussed. Assessing urban human settlements holds great significance in terms of the survival and development of the population [5], as it offers essential parameters for the transformation of urban industrial structure and the optimization of human settlements.…”

Comprehensive Evaluation of the Quality of Rural Habitat Environment in Huizhou Cultural and Ecological Protection Zone

“…The entropy-TOPSIS method is a sophisticated assessment method that adds the TOPSIS model to the entropy method. [15] Compared with the traditional TOPSIS method subjective will is lower, the objective factual data is more effectively embodied, improving the accuracy of the calculation results. At the same time, it is an attempt and breakthrough to apply the TOPSIS research method to the evaluation of human environment.…”