中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Assessing habitat suitability for wintering geese by using Normalized Difference Water Index (NDWI) in a large floodplain wetland, China

文献类型:期刊论文

作者Teng, Jiakun1,2; Xia, Shaoxia1; Liu, Yu1; Yu, Xiubo1,2; Duan, Houlang1,2; Xiao, Han1,2; Zhao, Chuanpeng1,2
刊名ECOLOGICAL INDICATORS
出版日期2021-03-01
卷号122页码:9
关键词Wintering geese Habitat suitability NDWI Water level Poyang Lake
ISSN号1470-160X
DOI10.1016/j.ecolind.2020.107260
通讯作者Xia, Shaoxia(xiasx@igsnrr.ac.cn) ; Yu, Xiubo(yuxb@igsnrr.ac.cn)
英文摘要Hydrological condition is one of the most important factors affecting the abundance and distribution of water-birds in large freshwater floodplains, as it influences their habitat and food availability. The hydrological condition is commonly indicated with site-based hydrological data such as water level. Site-based data have high temporal resolution but are less effective to represent the spatial characteristics, a requirement for ecological/habitat models. In this study, we propose a method to identify suitable habitats for wintering geese based on the Normalized Difference Water Index (NDWI) derived from Sentinel-2 satellite images. The relationships between NDWI, water level and geese occurrence were analyzed. The results showed that the NDWI of Poyang Lake can explain 75% of the changes in water level and at least 42% of the geese occurrence during wintering periods (with the exception of February 2019). The monthly NDWI optimal ranges suitable for wintering geese were identified to be from -0.12 to 0 and suitable NDWI threshold range is from -0.27 to 0.14. Based on this threshold range, we identified the suitable habitat for geese and found that the suitable habitat area first increased and later decreased during the whole wintering periods, following an inverted U-shaped dynamic. We concluded that NDWI can be used to improve distribution models of waterbird species to support their protection and wetland management.
WOS关键词EAST DONGTING LAKE ; SPECIES DISTRIBUTION MODELS ; HYDROLOGICAL CONDITIONS ; INUNDATION CHANGES ; RIVER FLOODPLAIN ; WADING BIRDS ; LAND-USE ; MIGRATION ; AREAS ; COMMUNITIES
资助项目National Natural Science Foundation of China[41701212] ; National Natural Science Foundation of China[41971133] ; Strategic Priority Research Program of the Chinese Academy of Science[XDA23040203] ; Strategic Priority Research Program of the Chinese Academy of Science[XDA19020305] ; Science and Technology Project by Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences[Y9V90104YZ] ; Chinese Bird Diversity Observation Network
WOS研究方向Biodiversity & Conservation ; Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000613232500005
出版者ELSEVIER
资助机构National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Science ; Science and Technology Project by Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences ; Chinese Bird Diversity Observation Network
源URL[http://ir.igsnrr.ac.cn/handle/311030/160748]  
专题中国科学院地理科学与资源研究所
通讯作者Xia, Shaoxia; Yu, Xiubo
作者单位1.Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Teng, Jiakun,Xia, Shaoxia,Liu, Yu,et al. Assessing habitat suitability for wintering geese by using Normalized Difference Water Index (NDWI) in a large floodplain wetland, China[J]. ECOLOGICAL INDICATORS,2021,122:9.
APA Teng, Jiakun.,Xia, Shaoxia.,Liu, Yu.,Yu, Xiubo.,Duan, Houlang.,...&Zhao, Chuanpeng.(2021).Assessing habitat suitability for wintering geese by using Normalized Difference Water Index (NDWI) in a large floodplain wetland, China.ECOLOGICAL INDICATORS,122,9.
MLA Teng, Jiakun,et al."Assessing habitat suitability for wintering geese by using Normalized Difference Water Index (NDWI) in a large floodplain wetland, China".ECOLOGICAL INDICATORS 122(2021):9.

入库方式: OAI收割

来源:地理科学与资源研究所

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