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DOI10.1016/j.ecolind.2023.110228
Construction and evaluation of ecological networks among natural protected areas based on quality-structure-function: A case study of the Qinghai-Tibet area
Gu, Ziling; Gong, Jian; Wang, Ying
发表日期2023
ISSN1470-160X
EISSN1872-7034
卷号151
英文摘要The construction of natural protected area (NPA) systems is an important initiative to protect biodiversity and maintain the health and stability of natural ecosystems. The Qinghai-Tibet area (QTA) has extremely high ecological value, and the NPAs in this area account for more than half of the NPAs in China. As human activities have intensified, an increasing number of research has been conducted on the NPAs in the region. However, the assessment of the ecological network of the NPAs in the QTA is underexplored. This study assessed the ecological networks derived from the NPA system in the QTA from a quality-structure-function perspective. First, the study used the remote sensing ecological index (RSEI) to map the ecological resistance surface of the QTA, generated ecological corridors based on circuit theory, and identified ecological barriers and pinch points in the ecological network to evaluate the quality of the network. Next, the spatial syntax method was used to assess the structural characteristics of the connectivity for the ecological network. Finally, the study analysed changes in the human activity intensity and species population around ecological corridors to quantitatively explore the corridor's biodiversity maintenance function in the context of increased human activity. The findings demon-strated that the ecological network quality of the NPAs within the QTA was generally good. However, some areas such as the Hung River Valley in Qilian-Qinghai Lake were observed to exhibit ecological quality concerns, identified as ecological barrier points. These ecological challenges stem from the competing interests of envi-ronmental corridors and the development and utilization of land. In terms of the structural indicators of the ecological network, the closeness of the ecological network in the eastern part of the study area was higher than that in the western part; however, the mean depth shows the opposite pattern, indicating that the northeast has a better overall connectivity than the west. In addition, the intensity of the human footprint and the number of species decreased continuously with increasing distance from the ecological network. However, over the last two decades, a noticeable increase in human footprint intensity has occurred, and the magnitude of this increase grows with increasing distance from the ecological network, indicating that the ecological network is experi-encing mounting pressure due to more frequent human activities. However, ecological networks still play a key role in maintaining biodiversity and protecting the ecological environment. The findings of this study could provide a scientific support for protecting the eco-security shield functions in the QTA and globally.
关键词Natural protected areasEcological corridorsRemote sensing ecological indexCircuit theorySpatial syntaxQinghai-Tibet area
英文关键词ECOSYSTEM SERVICES; NATURE-RESERVE; CIRCUIT-THEORY; BIODIVERSITY; CONNECTIVITY; GOALS; LAND
WOS研究方向Biodiversity Conservation ; Environmental Sciences
WOS记录号WOS:000987952500001
来源期刊ECOLOGICAL INDICATORS
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/283035
作者单位China University of Geosciences - Wuhan
推荐引用方式
GB/T 7714
Gu, Ziling,Gong, Jian,Wang, Ying. Construction and evaluation of ecological networks among natural protected areas based on quality-structure-function: A case study of the Qinghai-Tibet area[J],2023,151.
APA Gu, Ziling,Gong, Jian,&Wang, Ying.(2023).Construction and evaluation of ecological networks among natural protected areas based on quality-structure-function: A case study of the Qinghai-Tibet area.ECOLOGICAL INDICATORS,151.
MLA Gu, Ziling,et al."Construction and evaluation of ecological networks among natural protected areas based on quality-structure-function: A case study of the Qinghai-Tibet area".ECOLOGICAL INDICATORS 151(2023).
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