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景观生态风险研究进展及基于生态系统服务的评价框架: ESRISK
Review of landscape ecological risk and an assessment framework based on ecological services: ESRISK

查看参考文献70篇

曹祺文 1   张曦文 2,3   马洪坤 2   吴健生 2,3 *  
文摘 在快速城市化过程中,高强度人为活动对生态系统结构和服务功能造成极大扰动,进而产生一定生态风险。近年来,景观生态风险评价的兴起为景观格局—生态过程互馈研究提供了新的视角,可有效支持生态系统管理。本文在探讨生态风险、区域生态风险与景观生态风险联系与区别的基础上,重点评述了景观指数法和风险“源—汇”法等主要景观生态风险评价方法,归纳了基于生态系统服务的景观生态风险研究进展。进一步地,以生态系统服务退化为损失表征,从地形、人为胁迫、生态恢复力、景观脆弱性等维度构建概率表征指标体系,提出了基于生态系统服务的景观生态风险评价(ESRISK)框架,以期为景观生态风险研究提供一个更为完善、综合的评价方法参考,并辅助支持风险减缓策略制定和有限资源的高效分配。最后,从生态系统服务权衡与协同关系、评价结果不确定性分析、景观生态风险与景观格局多尺度关联关系、脆弱性研究深化等方面做出展望。
其他语种文摘 During rapid urbanization, high-intensity human activities have imposed significant stress on the structure and services of the ecosystem, resulting in ecological risk. In recent years, rising landscape ecological risk assessments have provided a new perspective for studying the relationship between landscape patterns and the ecological process, which can effectively support ecosystem management. Through a comparison of the concepts of ecological risk, regional ecological risk, and landscape ecological risk, this paper primarily reviews the two main methods for landscape ecological risk assessment: landscape index method and risk "source-sink" method. We also discuss the research progress of landscape ecological risk based on ecological services. In addition, this paper puts forward a framework for landscape ecological risk assessment, ESRISK, based on ecosystem services. In this framework, ecological loss is represented by the degradation level of key ecological services, and risk probability is represented from the perspectives of terrain, artificial stress, ecological restoration, and landscape vulnerability. As for scientific rigor, the ESRISK framework is a comprehensive assessment of landscape ecological risk in the urban and regional development process, in which the landscape is the study object and ecosystem services serve as the medium. In terms of application prospects, the ESRISK framework is applicable to different assessment purposes, study areas, and scales. The framework could also potentially provide a more integrative paradigm for assessment of landscape ecological risk and support the determination of regional adaptive risk mitigation strategy, and the efficient allocation of limited resources. Lastly, we have submitted future research trends from four perspectives: (1) Focusing on long-term ecosystem service loss dynamics and incorporating tradeoffs and synergies among ecosystem services into the assessment framework; (2) strengthening the analysis of uncertainty in assessment results and risk decision scenario simulation; (3) revealing relationships between landscape ecological risk and landscape patterns, as well as multi-scale and nonlinear characteristics; and (4) integrating remote sensing and socioeconomic data to deepen risk assessment into vulnerability research.
来源 地理学报 ,2018,73(5):843-855 【核心库】
DOI 10.11821/dlxb201805005
关键词 景观生态风险 ; 生态系统服务 ; 景观格局 ; 生态风险概率 ; ESRISK ; 研究进展
地址

1. 清华大学建筑学院, 北京, 10008  

2. 北京大学城市规划与设计学院, 城市人居环境科学与技术 国家重点实验室, 深圳, 518055  

3. 北京大学城市与环境学院, 地表过程与模拟教育部重点实验室, 北京, 100871

语种 中文
文献类型 综述型
ISSN 0375-5444
学科 自然地理学
基金 国家自然科学基金项目
文献收藏号 CSCD:6229008

参考文献 共 70 共4页

1.  Zhao Z. Integration of ecosystem services into ecological risk assessment for implementation in ecosystembased river management: A case study of the Yellow River, China. Human and Ecological Risk Assessment,2013,19(1):80-97 CSCD被引 2    
2.  彭建. 景观生态风险评价研究进展与展望. 地理学报,2015,70(4):664-677 CSCD被引 198    
3.  Liu J G. Complexity of coupled human and natural systems. Science,2007,317(5844):1513-1516 CSCD被引 96    
4.  彭建. 低丘缓坡建设开发综合生态风险评价及发展权衡——以大理白族自治州为例. 地理学报,2015,70(11):1747-1761 CSCD被引 31    
5.  张小飞. 城市综合生态风险评价——以淮北市城区为例. 生态学报,2011,31(20):6204-6214 CSCD被引 38    
6.  Munns W R. Assessing risks to wildlife populations from multiple stressors: Overview of the problem and research needs. Ecology and Society,2006,11(1):709-723 CSCD被引 4    
7.  周启星. 城镇化过程生态风险评价案例研究. 生态学报,1998,18(4):337-342 CSCD被引 19    
8.  付在毅. 区域生态风险评价. 地球科学进展,2001,16(2):267-271 CSCD被引 117    
9.  Hunsaker C T. Assessing ecological risk on a regional scale. Environmental Management,1990,14(3):325-332 CSCD被引 70    
10.  Landis W G. Design considerations and a suggested approach for regional and comparative ecological risk assessment. Human and Ecological Risk Assessment: An International Journal,1997,3(3):287-297 CSCD被引 38    
11.  Wiegers J K. A regional multiple-stressor rank-based ecological risk assessment for the Fjord of Port Valdez, Alaska. Human and Ecological Risk Assessment: An International Journal,1998,4(5):1125-1173 CSCD被引 12    
12.  陈春丽. 区域生态风险评价的关键问题与展望. 生态学报,2010,30(3):808-816 CSCD被引 35    
13.  Forman R T T. Land Mosaics: The Ecology of Landscapes and Regions,1995 CSCD被引 63    
14.  肖笃宁. 当代景观生态学的进展和展望. 地理科学,1997,17(4):69-77 CSCD被引 5    
15.  曾辉. 景观生态学,2017 CSCD被引 10    
16.  Jorgensen E E. Restored riparian buffers as tools for ecosystem restoration in the MAIA: Processes, endpoints, and measures of success for water, soil, flora, and fauna. Environmental Monitoring & Assessment,2000,63(1):199-210 CSCD被引 1    
17.  彭建. 区域生态系统健康评价——研究方法与进展. 生态学报,2007,27(11):4877-4885 CSCD被引 79    
18.  刘焱序. 基于生态适应性循环三维框架的城市景观生态风险评价. 地理学报,2015,70(7):1052-1067 CSCD被引 76    
19.  Liu S L. Evaluating the influence of road networks on landscape and regional ecological risk: A case study in Lancang River Valley of Southwest China. Ecological Engineering,2008,34(2):91-99 CSCD被引 38    
20.  Xie H. Ecological risk assessment of land use change in the Poyang Lake Eco-economic Zone, China. International Journal of Environmental Research and Public Health,2013,10(1):328-346 CSCD被引 11    
引证文献 75

1 王飞 南昌市城镇空间扩展与景观生态风险的耦合关系 生态学报,2019,39(4):1248-1262
CSCD被引 21

2 石玉琼 榆林市景观生态风险及其时空分异 干旱区研究,2019,36(2):494-504
CSCD被引 10

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论文科学数据集

1. 国家生态屏障区1-km分辨率土壤保持逐年数据集(2000-2015)

2. 国家生态屏障区产水服务量1-km栅格逐年数据集(2000-2015)

3. 洞庭湖区堤垸1949-2013空间分布数据集

数据来源:
国家对地观测科学数据中心
PlumX Metrics
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