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Sensors and Materials
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Sensors and Materials, Volume 33, Number 12(5) (2021)
Copyright(C) MYU K.K.
pp. 4659-4680
S&M2787 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2021.3664
Published: December 28, 2021

Natural Ecological Background of Terrestrial Vegetation in China: Identification Methods and Spatial Differentiation Characteristics [PDF]

Peng Hou, Yan Chen, Jun Zhai, Jing Hou, Min Yang, Diandian Jin, Hanshou Zhu, Haifeng Gao, Huawei Wan, and Zhuo Fu

(Received September 25, 2021; Accepted December 23, 2021)

Keywords: natural ecological background, evaluation of conservation and restoration effectiveness, terrestrial ecosystems, forest, grassland

The closeness of the value of regional ecological parameters to the value of the natural ecological background can be used to efficiently evaluate the effectiveness of vegetation protection and ecological restoration. Advances in remote sensing technology have promoted the use of terrestrial ecosystem parameters obtained by multispectral sensors to identify the ecological background. Therefore, it is important to identify and construct the natural ecological background. By considering the authenticity of nature reserve ecosystems and the spatial differentiation of vegetation ecosystems, in this study we established an identification method for the natural ecological background of vegetation predicated upon a complete geographical unit. In China, land is divided into 106 regions based on different ecosystem functions. Additionally, 292 national nature reserves have been established throughout the country to conserve unique forest and grassland ecosystems. Using the spatial relationship between ecological function regions and the national nature reserves, ecological units of the natural ecological background were identified. The natural ecological background included two types of ecosystems: forest and grassland. It was composed of the current background, recovery rate background, and stability background, including four vegetation parameters that can effectively reflect the vegetation function and community structure: gross primary productivity (GPP), net primary productivity (NPP), leaf area index (LAI), and fractional vegetation cover (FVC). The spatial characteristics of the natural ecological background based on this method were clearly observed. These spatial characteristics are consistent with the ecosystem types and their combination characteristics, the soil and water conditions required for vegetation growth, and the corresponding ecosystem services. Therefore, the findings hold certain objectivity, have a scientific basis, and can be used as a reference for evaluating the effectiveness of terrestrial ecosystem protection and restoration in China.

Corresponding author: Yan Chen, Jun Zhai


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This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Peng Hou, Yan Chen, Jun Zhai, Jing Hou, Min Yang, Diandian Jin, Hanshou Zhu, Haifeng Gao, Huawei Wan, and Zhuo Fu, Natural Ecological Background of Terrestrial Vegetation in China: Identification Methods and Spatial Differentiation Characteristics, Sens. Mater., Vol. 33, No. 12, 2021, p. 4659-4680.



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