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DOI | 10.7717/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 |
ISSN | 2167-8359 |
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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