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生态系统服务权衡最新研究进展

本站小编 Free考研考试/2022-01-01

邓楚雄,
朱大美,
聂小东,
刘唱唱,
李忠武,,
刘俊宇,
张光叶,
肖林辉,
张宇婷
湖南师范大学资源与环境科学学院 长沙 410081
基金项目: 国家自然科学基金项目U19A2047
湖南省教育厅重点项目18A044
湖南省研究生科研创新项目CX2018B298

详细信息
作者简介:邓楚雄, 主要研究方向为资源评价与生态经济。E-mail:dcxppd@hunnu.edu.cn
通讯作者:李忠武, 主要研究方向为土壤侵蚀与碳循环。E-mail:lzw17002@hunnu.edu.cn
中图分类号:K9

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文章访问数:316
HTML全文浏览量:15
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被引次数:0
出版历程

收稿日期:2020-02-03
录用日期:2020-05-29
刊出日期:2020-10-01

Progress of research regarding the trade-offs of ecosystem services

DENG Chuxiong,
ZHU Damei,
NIE Xiaodong,
LIU Changchang,
LI Zhongwu,,
LIU Junyu,
ZHANG Guangye,
XIAO Linhui,
ZHANG Yuting
College of Resources and Environmental Sciences, Hunan Normal University, Changsha 410081, China
Funds: the National Natural Science Foundation of ChinaU19A2047
the Key Project of Department of Education of Hunan Province18A044
the Postgraduate Scientific Research Innovation Project of Hunan ProvinceCX2018B298

More Information
Corresponding author:LI Zhongwu, E-mail:lzw17002@hunnu.edu.cn


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摘要
摘要:生态系统服务权衡研究对协调生态环境保护和社会经济发展至关重要。为推动生态系统服务管理和提升人类福祉,本文以Web of Science核心合集(WOS)和中国科学引文数据库(CSCD)为数据源,运用文献计量分析法,系统梳理和总结生态系统服务权衡研究的学科知识基础、科学领域结构和热点变化等发展现状以及最新研究进展。研究表明:1)不同研究层面上,生态系统服务间的权衡关系受外部风险和人类需求、参数选取和服务提供者及区域差异性和不均衡性的影响。2)研究方法主要有基于关系识别和具体表征的权衡分析、权衡模拟和预测的模型量化分析和生态系统服务权衡管理优化的多准则分析3类。3)生态系统服务权衡关键驱动因子为城市化、生态工程和气候变化。基于此,我们认为把握生态系统服务权衡不同研究层面的关联特征、创新和优化生态系统服务权衡研究方法、准确甄别生态系统服务权衡关键驱动因子以及充分整合多维生态系统服务权衡资源搭建数据共享平台是未来研究的重点。
关键词:生态系统服务权衡/
文献计量/
评估方法/
供需特征/
关键驱动因子
Abstract:The extreme intensification of human activities and global climate change have exerted immense pressure on the ecological environment. According to the Millennium Ecosystem Services Assessment, approximately 60% of ecosystem services are in decline globally. Therefore, to better maintain ecological health, promote human well-being, and achieve more sustainability in harmonizing environmental protection and socio-economic development, there remains an urgent need to summarize recent studies on the trade-offs of ecosystem services. In this study, based on the Web of Science Core Collection Database (WOS) and the Chinese Science Citation Database (CSCD), CiteSpace was used to determine the current situation and analyze the latest research on ecosystem services trade-offs by choosing different techniques to create a co-citation cluster view of the citations, a knowledge map of the co-occurrence of subject structure, and a key word emergence map. The results showed that: 1) the trade-offs between ecosystem services are affected by external risks and human needs at the ecosystem level, parameter selection and service providers at the landscape level, and regional differences and heterogeneity at the regional level. 2) Research methods mainly include three categories: trade-off analysis based on relationship recognition and concrete characterization, a module-based quantitative analysis of trade-off simulation and prediction, and multi-criterion analysis toward the optimization of ecosystem service trade-off management. 3) Urbanization, ecological engineering, and climate change are three key drivers of the trade-offs associated with ecosystem services. Most of the trade-offs between supply services, regulation, and support services are caused by urbanization. Ecological engineering improves ecosystem regulation and support services, but reduces supply services to some extent. Global climate change increases external risks while decreasing ecosystem service provision, regulation, and support functions. Based on this analysis, understanding the associated characteristics of ecosystem service trade-offs at various research levels, modifying and innovating study methods, identifying the major factors, and finally, integrating resources to build a data-sharing platform for ecosystem service trade-offs should be the focus of future research.
Key words:Ecosystem services trade-offs/
Literature statistical analysis/
Assessment methods/
Supply and demand characteristics/
Key driving factors

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图1WOS(a)和CSCD(b)数据库题录文献共被引聚类视图
Figure1.Bibliographic literature co-citation clustering view in WOS (a) and CSCD (b) databases


下载: 全尺寸图片幻灯片


图2WOS和CSCD数据库题录文献主要研究方向的共现知识图谱
Figure2.Bibliographic literature co-occurrence knowledge map of main research directions in WOS and CSCD databases


下载: 全尺寸图片幻灯片

表1WOS数据库中前16个关键词突现表
Table1.Top 16 keywords with the strongest citation bursts in WOS database
Keyword Year Strength Begin End 2005-2019
need 2005 3.087 1 2006 2013 ▂▃▃▃▃▃▃▃▃▂▂▂▂▂▂
water quality 2005 2.719 4 2008 2014 ▂▂▂▃▃▃▃▃▃▃▂▂▂▂▂
wetland 2005 4.327 6 2009 2014 ▂▂▂▂▃▃▃▃▃▃▂▂▂▂▂
economic value 2005 2.514 9 2009 2011 ▂▂▂▂▃▃▃▂▂▂▂▂▂▂▂
benefit 2005 2.671 0 2011 2012 ▂▂▂▂▂▂▃▃▂▂▂▂▂▂▂
ecology 2005 4.896 9 2011 2014 ▂▂▂▂▂▂▃▃▃▃▂▂▂▂▂
valuation 2005 2.627 3 2011 2012 ▂▂▂▂▂▂▃▃▂▂▂▂▂▂▂
gi 2005 3.290 7 2013 2016 ▂▂▂▂▂▂▂▂▃▃▃▃▂▂▂
habitat 2005 3.605 0 2013 2014 ▂▂▂▂▂▂▂▂▃▃▂▂▂▂▂
indicator 2005 4.422 3 2014 2016 ▂▂▂▂▂▂▂▂▂▃▃▃▂▂▂
environment 2005 2.572 7 2013 2014 ▂▂▂▂▂▂▂▂▃▃▂▂▂▂▂
the United States 2005 2.722 9 2015 2016 ▂▂▂▂▂▂▂▂▂▂▃▃▂▂▂
deforestation 2005 2.722 9 2015 2016 ▂▂▂▂▂▂▂▂▂▂▃▃▂▂▂
payment 2005 2.722 9 2015 2016 ▂▂▂▂▂▂▂▂▂▂▃▃▂▂▂
urban expansion 2005 2.971 9 2017 2019 ▂▂▂▂▂▂▂▂▂▂▂▂▃▃▃
InVEST model 2005 3.490 8 2017 2019 ▂▂▂▂▂▂▂▂▂▂▂▂▃▃▃


下载: 导出CSV
表2CSCD数据库中前12个关键词突现表
Table2.Top 12 keywords with the strongest citation bursts in CSCD database
关键词 Keyword Year Strength Begin End 2007-2019
生态系统服务 Ecosystem services 2007 3.969 7 2007 2014 ▃▃▃▃▃▃▃▃▂▂▂▂▂
土壤保持 Soil conservation 2007 1.271 3 2013 2014 ▂▂▂▂▂▂▃▃▂▂▂▂▂
权衡 Tradeoffs 2007 1.827 6 2015 2016 ▂▂▂▂▂▂▂▂▃▃▂▂▂
生态系统 Ecosystem 2007 1.409 6 2015 2016 ▂▂▂▂▂▂▂▂▃▃▂▂▂
生态服务价值 Eco-services value 2007 0.946 9 2015 2016 ▂▂▂▂▂▂▂▂▃▃▂▂▂
价值评估 Value evaluation 2007 0.933 5 2015 2016 ▂▂▂▂▂▂▂▂▃▃▂▂▂
生态用地 Ecological land 2007 0.933 5 2015 2016 ▂▂▂▂▂▂▂▂▃▃▂▂▂
InVEST模型 InVEST model 2007 0.229 6 2015 2016 ▂▂▂▂▂▂▂▂▃▃▂▂▂
生态安全 Ecological security 2007 1.010 5 2017 2019 ▂▂▂▂▂▂▂▂▂▂▃▃▃
生态系统服务价值 Ecosystem services value 2007 1.010 5 2017 2019 ▂▂▂▂▂▂▂▂▂▂▃▃▃
京津冀城市群 Beijing-Tianjin-Hebei city cluster 2007 0.669 3 2017 2019 ▂▂▂▂▂▂▂▂▂▂▃▃▃
生态 Ecology 2007 0.669 3 2017 2019 ▂▂▂▂▂▂▂▂▂▂▃▃▃


下载: 导出CSV
表3生态系统服务权衡模拟与预测模型
Table3.Models of ecosystem service trade-offs simulation and prediction
模型分类
Model classification
具体模型
Concrete model
优点
Advantage
不足
Disadvantage
生态生产功能模型
Ecological production function model
InVEST 参数需求少、操作灵活、应用广泛、可视化表达强、认可度高
Less parameters requirement, flexible operation, wide application, strong visual expression and high recognition
参数设置依据不充分、忽略生物物理过程
Insufficient basis for parameter setting, ignoring biophysical processes
InFOREST 处开发初级阶段, 推广少
In the initial stage of development, less promotion
MIMES 能较好地模拟生态系统服务时空动态功能
Better simulate the spatiotemporal dynamic functions of ecosystem services
模型尚不成熟, 有很多模块正在开发之中
The model is not yet mature and many modules are under development
EPM 考虑了生态、经济和居民生活质量等问题
Consider ecological, economic, and quality of life of residents
可推广性差
Poor scalability
SolVES 适用性广
Wide applicability
只能对生态系统服务社会价值进行量化
Only quantify the social value of ecosystem services
SAORES 为土地利用格局优化和关键生态系统服务最大化提供借鉴
Provide references for optimization of land use patterns and maximization of key ecosystem services
模型评估的准确性校验及不确定性分析有所忽略
The accuracy check and uncertainty analysis of the model evaluation are ignored
EcoMetric 输入地面调查的物理环境因子, 结果较准确
Enter the physical environmental factors of the ground survey with more accurate results
人类偏好模型
Human preference model
EcoAIM 利于多种生态系统服务权衡方法间的比较
Facilitate comparisons among multiple ecosystem
service trade-offs
依靠管理者的决策, 主观性较强
Reliance on managerial decision making, strong subjectivity
ESValue 利于比较现实产出和预期产出之间的关系, 有助于确立最合适的自然资源管理策略
Facilitate comparison of the relationship between actual and expected output, and help to establish the most appropriate natural resource management strategy
依赖专家经验, 主观性较强, 主要用于美国地区
Reliance on expert experience, strong subjectivity, mainly used in the United States
价值转移模型
Value transfer shift model
ARIES 智能化实现生态系统服务功能的评估, 应用前景好
Intelligent assessment of ecosystem service functions and good application prospects
数据分辨率差、评估结果精度低、目前只适用于美国及墨西哥部分区域
Poor data resolution, low accuracy of evaluation results, currently only applicable to parts of the United States and Mexico
NAIS 基于文献数据确定生态系统服务价值, 忽略了时空差异性
Determine ecosystem service value based on literature data, ignoring spatio-temporal differences


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