Global research trends and gaps in ecological compensation studies from 1990 to 2020: A scientometric review

生计 可持续发展 衡平法 持续性 中国 环境资源管理 生态系统服务 补偿(心理学) 生物多样性 贫穷 业务 政治学 地理 环境规划 生态学 生态系统 农业 经济 考古 法学 生物 心理学 精神分析
作者
Li Wang,Tiangui Lv,Xinmin Zhang,Han Hu,Xiao Qiong Cai
出处
期刊:Journal for Nature Conservation [Elsevier]
卷期号:65: 126097-126097 被引量:16
标识
DOI:10.1016/j.jnc.2021.126097
摘要

Ecosystems are facing severe destruction and threats due to unreasonable human utilization. Repairing damage to nature and protect biodiversity through ecological compensation will be an inevitable measure for achieving sustainable development. To explore the current research hotspots and future research directions of ecological compensation, this paper tries to search the WoS Core Collection and collects 685 ecological compensation papers published between 1990 and 2020. R language and CiteSpace software were applied in this paper. It is found that: (1) The number of articles has gone through the initial explorations, fluctuating growth, and rapid development of the field from 1990 to 2020. Only 7.5% of authors have published more than two papers. (2) Regarding the production of papers, the top 3 countries are the US, China, and the UK. At present, the majority of countries focus on independent research, and international cooperation is gradually strengthening. (3) The current research hotpots mainly invlove biodiversity and sustainable development, ecological compensation for forests and water resources, China's Grain-to-Green Project, poverty reduction, livelihood issues, public participation willingness and equity issues, indicating that ecological compensation is a rapidly emerging interdisciplinary academic field. (4) The results reveal several research directions in the future: strengthening theoretical research, resolving issues pertaining to the complex relationships among stakeholders, encouraging a transformation from qualitative to quantitative research, increasing the focus of ecological compensation models on local conditions, and applying more scientific models and high-tech tools in effect evaluation.
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