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A novel and direct ecological risk assessment index for environmental degradation based on response curve approach and remotely sensed data
Tan, Jianbo1,2,3; Li, Ainong1; Lei, Guangbin1; Bian, Jinhu1; Zhang, Zhenjian1,2
Corresponding AuthorLi, Ainong(ainongli@imde.ac.cn)
2019-03-01
Source PublicationECOLOGICAL INDICATORS
ISSN1470-160X
Volume98Pages:783-793
AbstractEcosystems are at risk of environmental degradation by the intensification of human activities and climate change over the world. This manuscript aims to present a systematic and direct methodology for abiotic risk assessment. In this study, a novel ecological risk assessment index called "performance relative severity index" (PRS) was developed to directly identify the risk of ecosystem collapse due to abiotic stress. The index is acquired by calculating the degree of deviation from performance of ecosystems to optimum performance that caused by the degradation of environment. First, the key abiotic variables distinguishing ecosystems should be identified. Second, the response curve indicating the relationship between ecosystem performance and key abiotic variables should be constructed. Due to the lack of the information on the response curve for some regions, the minimum and maximum points of optimum and tolerance range, defining the response curve of ecosystem to abiotic variables, should be acquired. The minimum and maximum optimal points were obtained through the relationships between the index derived from remotely sensed data and abiotic variables, and the minimum and maximum tolerance points were acquired by the relationships between the occurrence of ecosystem and its environment. Based on the response curve of ecosystem to abiotic variable, the performance of ecosystem to current abiotic variables were available. Finally, the PRS was acquired through calculating the ratio of the change in the performance of ecosystems caused by environmental degradation to the change that would cause an ecosystem to collapse. The proposed methodology was applied to calculate the PRS of the natural forest regarding temperature in Xishuangbanna, a biodiversity hotspot located in Southwestern China. The results show that the suitable bioclimatic zone for ecosystems in Xishuangbanna would be shifted to higher altitude region under global warming. Considering ecosystems are always lag behind the effects of climate changes, these conversions indicate potential heat-stress to the natural forests of lowland in Xishuangbanna due to significantly rising temperatures in the future.
KeywordEnvironmental degradation Ecological risk assessment index Response curve of ecosystems to environment Remotely sensed data Xishuangbanna
DOI10.1016/j.ecolind.2018.11.038
Indexed BySCI
WOS KeywordECOSYSTEM PERFORMANCE ANOMALIES ; CLIMATE-CHANGE ; FOREST VEGETATION ; PROTECTED AREAS ; RIVER-BASIN ; BIODIVERSITY ; CONSERVATION ; MODEL ; XISHUANGBANNA ; DIVERSITY
Language英语
Funding ProjectNational Natural Science Foundation of China[41631180] ; National Natural Science Foundation of China[41571373] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19030303] ; National Key Research and Development Program of China[2016YFA0600103] ; National Key Research and Development Program of China[2016YFC0500201-06] ; Science and Technology Service Network Initiative of Chinese Academy of Sciences[KFJ-EW-STS-020-02] ; Hunan science and technology project[2017TP1029] ; 135 Strategic Program of the Institute of Mountain Hazards and Environment, CAS[SDS-135-1708]
WOS Research AreaBiodiversity & Conservation ; Environmental Sciences & Ecology
WOS SubjectBiodiversity Conservation ; Environmental Sciences
WOS IDWOS:000464891100079
Funding OrganizationNational Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; National Key Research and Development Program of China ; Science and Technology Service Network Initiative of Chinese Academy of Sciences ; Hunan science and technology project ; 135 Strategic Program of the Institute of Mountain Hazards and Environment, CAS
PublisherELSEVIER SCIENCE BV
Citation statistics
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/25955
Collection中国科学院水利部成都山地灾害与环境研究所
Corresponding AuthorLi, Ainong
Affiliation1.Chinese Acad Sci, Inst Mt Hazards & Environm, Res Ctr Digital Mt & Remote Sensing Applicat, Chengdu 610041, Sichuan, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Hunan Prov Inst Land & Resources Planning, Hunan Key Lab Land Resources Evaluat & Utilizat, Changsha 410001, Hunan, Peoples R China
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Corresponding Author Affilication中国科学院水利部成都山地灾害与环境研究所
Recommended Citation
GB/T 7714
Tan, Jianbo,Li, Ainong,Lei, Guangbin,et al. A novel and direct ecological risk assessment index for environmental degradation based on response curve approach and remotely sensed data[J]. ECOLOGICAL INDICATORS,2019,98:783-793.
APA Tan, Jianbo,Li, Ainong,Lei, Guangbin,Bian, Jinhu,&Zhang, Zhenjian.(2019).A novel and direct ecological risk assessment index for environmental degradation based on response curve approach and remotely sensed data.ECOLOGICAL INDICATORS,98,783-793.
MLA Tan, Jianbo,et al."A novel and direct ecological risk assessment index for environmental degradation based on response curve approach and remotely sensed data".ECOLOGICAL INDICATORS 98(2019):783-793.
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