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DOI10.7717/peerj.16210
A bibliometric analysis of research trends and hotspots in alpine grassland degradation on the Qinghai-Tibet Plateau
Xu, Zhe; Li, Xian; Zhang, Lu
发表日期2023
ISSN2167-8359
卷号11
英文摘要A bibliometric analysis of current research, hotspots, and development trends was used to develop an overall framework of mechanisms of alpine grassland degradation on the Qinghai-Tibet Plateau. This investigation includes data from 1,330 articles on alpine grassland degradation on the Qinghai-Tibet Plateau, acquired from the Chinese Science Citation Database (CSCD) and Web of Science Core Collection (WOS). Research was divided into three themes: spatial scope and management of typical grassland degradation problems, dynamic mechanisms of grassland degradation and effects of ecological engineering, and grassland degradation risk based on remote sensing technology. The results of the analysis showed that the research can be summarized into three aspects: typical grassland degradation identification, dynamic mechanism analysis of grassland degradation, and grassland ecosystem stability strategy. The main findings can summarized, as follows: (1) Ecological analyses using the river source as a typical region defined the formation of black soil beachtype degraded grasslands in the region, and promoted the ecological environment management and protection of the alpine grassland by discussing the causes of regional ecological environment changes; (2) Dynamic mechanism analyses of climate change and characteristics analyses of grassland vegetation-soil degradation revealed that alpine grassland degradation is the result of multiple main factors; and (3) Risk prediction methods for grassland degradation, methods of grassland management and sustainable countermeasures for agriculture and animal husbandry development, and the development of a comprehensive index of influencing factors on grassland degradation all indicate that selecting the right grassland restoration measures is the key to grassland restoration. Remote sensing monitoring and high-throughput sequencing technology should be used in future research on grassland ecosystems. In addition, multiscale, multidimensional, and multidisciplinary systematic research methods and long-term series data mining could help identify the characteristics and causes of alpine grassland system degradation. These findings can help identify a more effective coordination of landscape, water, lake, field, forest, grass, and sand management for the prevention of alpine grassland degradation.
关键词Qinghai-Tibet PlateauAlpine grassland degradationBibliometric methodResearch hot spotsGrassland degradation riskClimate changeBlack soil beach
英文关键词SOIL ORGANIC-CARBON; CLIMATE-CHANGE; MEADOW; ECOSYSTEM; IMPACTS; PRODUCTIVITY; RANGELANDS; DIVERSITY; COMMUNITY; BIOMASS
WOS研究方向Multidisciplinary Sciences
WOS记录号WOS:001104434900002
来源期刊PEERJ
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/282733
作者单位Chinese Academy of Sciences; Research Center for Eco-Environmental Sciences (RCEES); Southwest Forestry University - China
推荐引用方式
GB/T 7714
Xu, Zhe,Li, Xian,Zhang, Lu. A bibliometric analysis of research trends and hotspots in alpine grassland degradation on the Qinghai-Tibet Plateau[J],2023,11.
APA Xu, Zhe,Li, Xian,&Zhang, Lu.(2023).A bibliometric analysis of research trends and hotspots in alpine grassland degradation on the Qinghai-Tibet Plateau.PEERJ,11.
MLA Xu, Zhe,et al."A bibliometric analysis of research trends and hotspots in alpine grassland degradation on the Qinghai-Tibet Plateau".PEERJ 11(2023).
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