IDENTIFY THE RISK OF ENVIRONMENTAL DEGRADATION WITH ECOLOGICAL MODEL AND REMOTE SENSING: A CASE STUDY OF NATURAL FOREST IN XISHUANGBANNA

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部成都山地灾害与环境研究所 > 数字山地与遥感应用中心

	IDENTIFY THE RISK OF ENVIRONMENTAL DEGRADATION WITH ECOLOGICAL MODEL AND REMOTE SENSING: A CASE STUDY OF NATURAL FOREST IN XISHUANGBANNA
	Tan Jianbo 1,2; Li Ainong 2; Lei Guangbin 2; Jin Huaan 2; Zhao Wei 2; Yin Gaofei 2; Bian Jinhu 2
	2017
会议日期	JUL 23-28, 2017
会议地点	Fort Worth
关键词	risk of environmental degradation IUCN Red List of Ecosystems ecological amplitude remote sensing xishuangbanna nature forest
页码	3521-3524
国家	TX
英文摘要	Ecosystems is survived in the suitable environment which provide appropriately abiotic resources for organism and IUCN have applied abiotic degradation as Criterion C to assess the risk of ecosystems. However, the origin and collapse status of the criterion is vague for assessors, and the results are inconsistent as the response of ecosystems to environment are different. Therefore, the ecological amplitude of ecosy stemto environment stress was introduced in the ecosystems risk assessment with the relationship between criterion and ecological amplitude. To put this concept into practice, remote sensing was applied to acquire the optimum and tolerance of each ecosystem. The natural forest in xishuangbanna was assessed by this proposed method to identify the stress of temperature. The result show that the status of natural forest in the past is least concern (LC), and vulnerable (VU) in the feature. With temperature in the future significantly increasing, natural forest may be suffered with heat stress. The proposed method describe the risk derived from degradation of environment in mechanism greatly improved the consistency and feasibility of Criterion C in the ecosystems risk assessment.
产权排序	1
会议录	2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
会议录出版者	IEEE
会议录出版地	NEW YORK
语种	英语
ISSN号	2153-6996
ISBN号	978-1-5090-4951-6
WOS记录号	WOS:000426954603153
内容类型	会议论文
源URL	[http://ir.imde.ac.cn/handle/131551/35219]
专题	成都山地灾害与环境研究所_数字山地与遥感应用中心
通讯作者	Li Ainong
作者单位	1.University of Chinese Academy of Science, Beijing; 100049, China 2.Research Center for Digital Mountain and Remote Sensing Application, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu; 610041, China;
推荐引用方式 GB/T 7714	Tan Jianbo,Li Ainong,Lei Guangbin,et al. IDENTIFY THE RISK OF ENVIRONMENTAL DEGRADATION WITH ECOLOGICAL MODEL AND REMOTE SENSING: A CASE STUDY OF NATURAL FOREST IN XISHUANGBANNA[C]. 见:. Fort Worth. JUL 23-28, 2017.