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作 者:杨东 杨秀春 金云翔[1] 徐斌[1] YANG Dong;YANG Xiuchun;JIN Yunxiang;XU Bin(Key Laboratory of Agri-informatics,Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning,Chinese Academy of Agricultural Sciences,Beijing 100081,China;Research Center for Grassland Ecology and Resources,School of Grassland Science,Beijing Forestry University,Beijing 100083,China)
机构地区:[1]农业部农业信息技术重点实验室/中国农业科学院农业资源与农业区划研究所,北京100081 [2]北京林业大学草业与草原学院/草地资源与生态研究中心,北京100083
出 处:《草业科学》2021年第9期1782-1792,共11页Pratacultural Science
基 金:国家重点研发计划(2017YFC0506504);国家自然科学基金(41571105)。
摘 要:草地生物量是衡量草地生态系统生产力的重要指标,也是研究草地生态系统物质循环的重要基础。为了系统梳理草地生物量遥感监测研究进展,以Web of Science中1995–2020年的557篇相关文献作为数据源,运用CiteSpace软件从发表论文的国家、机构和学科分布,以及关键词共现、文献共被引、期刊共被引等角度分别进行可视化的计量分析。结果表明,草地生物量遥感监测发文量随时间推移总体呈增长趋势;发文量排名前3的国家为美国、中国和德国;中国科学院发文量最多,且远超过其他机构;发表论文的学科以生态学、环境科学和遥感科学为主;从期刊被引用看,《Ecology》、《Oecologia》和《Global Change Biology》为被引频次前3的期刊;关键词共现图谱显示植被、草原、气候变化、生态、地上生物量等为主要节点关键词;通过对热点关键词以及被引文献聚类结果分析,揭示新的遥感数据源和监测技术方法将会促进草地生物量遥感监测领域的迅速发展。Grassland biomass is an important indicator of the productivity of grassland ecosystems and an important factor in evaluating the material cycle of grassland ecosystems.This study was designed to systematically evaluate the research progress of using remote sensing to monitor grassland biomass.To this end,we collected 557 documents related to the remote sensing-based evaluation of grassland biomass from the Web of Science produced between 1995 and 2020.This dataset was then evaluated using CiteSpace,which allowed for information visualization and analysis from the perspective of country/institution/discipline distribution,keyword co-occurrence,document co-citation and journal co-citation.The results show that the number of papers produced using remote sensing technologies has largely increased over the last few decades.The top three countries producing this type of research are the United States,China and Germany.The number of documents issued by the Chinese Academy of Sciences far exceeds that of any of the other institutions,and ecology,environmental science,and remote sensing are the primary disciplines described in these papers.“Ecology”is the most cited journal and has the greatest influence in this field.The keyword co-occurrence map shows that vegetation,grassland,climate change,ecology,and above-ground biomass are all important node keywords.Additional analysis of the hot keywords and the results of cited literature clustering show that new remote sensing data sources and model construction methods should bring new opportunities for the development of novel applications for remote sensing-based monitoring of grassland biomass.
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