IDENTIFY THE RISK OF ENVIRONMENTAL DEGRADATION WITH ECOLOGICAL MODEL AND REMOTE SENSING: A CASE STUDY OF NATURAL FOREST IN XISHUANGBANNA
文献类型:会议论文
作者 | Tan Jianbo1,2![]() ![]() ![]() ![]() ![]() ![]() ![]() |
出版日期 | 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)
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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 |
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.Research Center for Digital Mountain and Remote Sensing Application, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu; 610041, China; 2.University of Chinese Academy of Science, Beijing; 100049, 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. |
入库方式: OAI收割
来源:成都山地灾害与环境研究所
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