Arid
DOI10.3390/rs14030708
Modelling Impacts of Environmental Water on Vegetation of a Semi-Arid Floodplain-Lakes System Using 30-Year Landsat Data
Wu, Chunying; Webb, James Angus; Stewardson, Michael J.
通讯作者Wu, CY (corresponding author),Univ Melbourne, Fac Engn & IT, Dept Infrastruct Engn, Melbourne, Vic 3010, Australia. ; Wu, CY (corresponding author),Univ Melbourne, Australian German Climate & Energy Coll, Melbourne, Vic 3010, Australia. ; Wu, CY (corresponding author),Karlsruhe Inst Technol, Inst Appl Geosci, D-76131 Karlsruhe, Germany.
来源期刊REMOTE SENSING
EISSN2072-4292
出版年2022
卷号14期号:3
英文摘要River floodplains are among the most dynamic and diverse ecosystems on the planet. They are at risk of degradation due to river regulation and climate change. Environmental water has been delivered to floodplains to maintain environmental health by mimicking natural floods. It is important to understand the long-term effects of environmental water to floodplain vegetation to support its management. This study used Normalized Differences Vegetation index (NDVI) from the 30-year Landsat datasets of the Hattah Lakes floodplain in Australia to investigate the drivers of vegetation dynamics. We developed generalized additive mixed models (GAMM) to model responses of vegetation to environmental water, natural floods, precipitation, temperature, and distance to water across multiple spatial and temporal scales. We found the effect of environmental water on floodplain vegetation to be quite different from that of natural floods in both space and time. Vegetation in most areas of Hattah Lakes will respond to natural floods within one month of flooding, while positive responses to environmental water occur 1 to 3 months after inundation and are more restricted spatially. For environmental water planning, managers need to be aware of these differences. The implementation of new infrastructure to transport or retain environmental water on floodplains needs to be planned carefully, with continuous monitoring of rainfall and natural floods. Whilst environmental floods do not mimic the effect of natural floods, they do provide some positive benefits that can partially offset effects of reduced natural floods.
英文关键词environmental water vegetation normalized differences vegetation index (NDVI) generalized additive mixed model (GAMM) Hattah Lakes climate change
类型Article
语种英语
开放获取类型gold, Green Published
收录类别SCI-E
WOS记录号WOS:000759461900001
WOS关键词RIVER ; FLOW ; INUNDATION ; CLIMATE ; MURRAY ; INDEX ; CONNECTIVITY ; CHALLENGES ; GREENNESS ; RESPONSES
WOS类目Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/376393
作者单位[Wu, Chunying; Webb, James Angus; Stewardson, Michael J.] Univ Melbourne, Fac Engn & IT, Dept Infrastruct Engn, Melbourne, Vic 3010, Australia; [Wu, Chunying] Univ Melbourne, Australian German Climate & Energy Coll, Melbourne, Vic 3010, Australia; [Wu, Chunying] Karlsruhe Inst Technol, Inst Appl Geosci, D-76131 Karlsruhe, Germany
推荐引用方式
GB/T 7714
Wu, Chunying,Webb, James Angus,Stewardson, Michael J.. Modelling Impacts of Environmental Water on Vegetation of a Semi-Arid Floodplain-Lakes System Using 30-Year Landsat Data[J],2022,14(3).
APA Wu, Chunying,Webb, James Angus,&Stewardson, Michael J..(2022).Modelling Impacts of Environmental Water on Vegetation of a Semi-Arid Floodplain-Lakes System Using 30-Year Landsat Data.REMOTE SENSING,14(3).
MLA Wu, Chunying,et al."Modelling Impacts of Environmental Water on Vegetation of a Semi-Arid Floodplain-Lakes System Using 30-Year Landsat Data".REMOTE SENSING 14.3(2022).
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