Biodiversity early warning of rural ecological landscape based on DPSIR model

XU Wenting; XIE Zongqiang; GE Jielin; XU Kai; XIONG Gaoming; MAO Jiangtao

doi:10.12357/cjea.20230622

Volume 31 Issue 12

Dec. 2023

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Article Navigation > Chinese Journal of Eco-Agriculture > 2023 > 31(12): 1943-1952

XU W T, XIE Z Q, GE J L, XU K, XIONG G M, MAO J T. Biodiversity early warning of rural ecological landscape based on DPSIR model[J]. Chinese Journal of Eco-Agriculture, 2023, 31(12): 1943−1952 doi: 10.12357/cjea.20230622

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Biodiversity early warning of rural ecological landscape based on DPSIR model

doi: 10.12357/cjea.20230622

XU Wenting^1
,,
XIE Zongqiang^{1, 2
,
,},
GE Jielin¹,
XU Kai¹,
XIONG Gaoming¹,
MAO Jiangtao^{1, 2}

1.
State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
2.
University of Chinese Academy of Sciences, Beijing 101408, China

Funds: This study was supported by the National Key Research and Development Project of China (2019YFD1100403).

More Information

Corresponding author: E-mail: xie@ibcas.ac.cn
Received Date: 2023-10-26
Accepted Date: 2023-12-04

Available Online: 2023-12-07

Publish Date: 2023-12-15

Abstract

Abstract

In view of the potential threats to biodiversity in the process of rural revitalization and the needs of conservation and management, this study organically combined the theories and methods of biodiversity with society, economy, population, etc., and built the early warning index system of biodiversity in rural ecological landscape based on the DPSIR (Driving Force-Pressure-State-Impact-Response) model. Based on the principles of scientificity, relevance, practicality and comparability, the index system reflects the impact of human interference, global change, major disasters, measures and inputs taken by human to maintain the biodiversity of rural ecological landscape, and other factors on rural biodiversity, including 12 factors and 25 indicators of the driving force, pressure, state, impact and response of biodiversity. The mean square deviation method was used to determine the weight value of each index, divide the evaluation level. And the comprehensive index method was used to warn the biodiversity of the rural ecological landscape. The rural biodiversity in this study comprehensively considered the “Ecology, Production, Living” functions of the countryside. Therefore, the species of wild animals and plants, crop species, and rural green plants were all included in the calculation of the biodiversity index. This research method has been applied in the Paifang Community of Nanjing to give early warning to the high risk area. This study provides a new idea and method for biodiversity protection and evaluation in the revitalization and planning of green livable countryside, and it is of great significance to build a beautiful countryside with green harmony.
- Rural landscape,
- Early warning of biodiversity,
- DPSIR model,
- Indicator system

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References(32)

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