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Article

Evaluation of the Spatiotemporal Evolution of China’s Ecological Spatial Network Function–Structure and Its Pattern Optimization

Beijing Key Laboratory of Precision Forestry, Beijing Forestry University, Beijing 100083, China
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Author to whom correspondence should be addressed.
Remote Sens. 2022, 14(18), 4593; https://doi.org/10.3390/rs14184593
Submission received: 22 July 2022 / Revised: 5 September 2022 / Accepted: 10 September 2022 / Published: 14 September 2022

Abstract

(1) Background: Eco−spatial networks play an important role in enhancing ecosystem services and landscape connectivity. It is necessary to study landscape structure optimization to achieve synergistic gains in network connectivity and ecosystem functionality. (2) Method: Based on remote sensing data, RS and GIS were used to evaluate the spatiotemporal changes in ecosystem services in China. Combined with complex network theory, the spatiotemporal evolution of China’s ecological spatial network and its topological structure from 2005 to 2020 is discussed. Network function–structure co−optimization was carried out using the edge augmentation strategy. (3) Result: The “three River resource” has high water conservation and high soil and water conservation in southeastern hilly areas. There is strong windbreak and sand fixation in southeastern Inner Mongolia. In the past 15 years, there have been about 8200 sources and about 14,000 corridors. The network has the characteristics of small−world and heterogeneity. After optimization, 18 sources and 3180 corridors are added, and the network connectivity and robustness are stronger. Finally, five regions are divided according to the network heterogeneity and corresponding protection and management countermeasures are proposed to provide scientific guidance for the country’s territorial space planning.
Keywords: China; eco−spatial network; complex network; function−structural synergy; robustness; pattern optimization China; eco−spatial network; complex network; function−structural synergy; robustness; pattern optimization

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MDPI and ACS Style

Liu, H.; Niu, T.; Yu, Q.; Yang, L.; Ma, J.; Qiu, S. Evaluation of the Spatiotemporal Evolution of China’s Ecological Spatial Network Function–Structure and Its Pattern Optimization. Remote Sens. 2022, 14, 4593. https://doi.org/10.3390/rs14184593

AMA Style

Liu H, Niu T, Yu Q, Yang L, Ma J, Qiu S. Evaluation of the Spatiotemporal Evolution of China’s Ecological Spatial Network Function–Structure and Its Pattern Optimization. Remote Sensing. 2022; 14(18):4593. https://doi.org/10.3390/rs14184593

Chicago/Turabian Style

Liu, Hongjun, Teng Niu, Qiang Yu, Linzhe Yang, Jun Ma, and Shi Qiu. 2022. "Evaluation of the Spatiotemporal Evolution of China’s Ecological Spatial Network Function–Structure and Its Pattern Optimization" Remote Sensing 14, no. 18: 4593. https://doi.org/10.3390/rs14184593

APA Style

Liu, H., Niu, T., Yu, Q., Yang, L., Ma, J., & Qiu, S. (2022). Evaluation of the Spatiotemporal Evolution of China’s Ecological Spatial Network Function–Structure and Its Pattern Optimization. Remote Sensing, 14(18), 4593. https://doi.org/10.3390/rs14184593

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