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Vegetation Dynamic in a Large Floodplain Wetland: The Effects of Hydroclimatic Regime

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成果类型:
期刊论文
作者:
Jing, Lei;Zeng, Qing;He, Ke;Liu, Peizhong;Fan, Rong;...
通讯作者:
Lu, C
作者机构:
[Lu, Cai; Lei, Guangchun; Fan, Rong; Zeng, Qing; Jing, Lei; He, Ke; Liu, Peizhong] Beijing Forestry Univ, Sch Ecol & Nat Conservat, Beijing 100083, Peoples R China.
[Lu, Weizhi; Jing, Lei] Cent South Univ Forestry & Technol, Natl Engn Lab Appl Technol Forestry & Ecol South C, Changsha 410004, Peoples R China.
[Jing, Lei] Cent South Univ Forestry & Technol, Key Lab Soil & Water Conservat & Desertificat Comb, Changsha 410004, Peoples R China.
[Wen, Li] Dept Planning & Environm, Sci Econ & Insights Div, Lidcombe, NSW 2000, Australia.
通讯机构:
[Lu, C ] B
Beijing Forestry Univ, Sch Ecol & Nat Conservat, Beijing 100083, Peoples R China.
语种:
英文
关键词:
wetland transition;random forest;singular spectrum analysis;generalized additive mixed models;time series;Phragmites encroachment
期刊:
Remote Sensing
ISSN:
2072-4292
年:
2023
卷:
15
期:
10
页码:
2614-
基金类别:
Conceptualization, L.J., L.W., Q.Z. and C.L.; data curation, L.W.; formal analysis, G.L. and L.W.; funding acquisition, W.L. and G.L.; investigation, L.J., K.H., P.L. and R.F.; methodology, L.J. and L.W.; project administration, W.L. and C.L.; software, L.W.; supervision, L.W.; validation, L.J., G.L. and C.L.; visualization, L.J. and C.L.; writing—original draft, L.J., Q.Z. and C.L.; writing—review and editing, L.W. and C.L. All authors have read and agreed to the published version of the manuscript. This research was funded by the National Key Research and Development Program of China, grant number 2017YFC0405300; the National Natural Science Foundation of China, grant numbers U20A2089 and 41971152; and the Natural Science Foundation of Hunan Province, China, grant number 2021JJ20012.
机构署名:
本校为其他机构
院系归属:
生命科学与技术学院
摘要:
Floodplain wetlands are among the most dynamic ecosystems on Earth, featuring high biodiversity and productivity. They are also sensitive to anthropogenic disturbances and are globally threatened. Understanding how flow regime drives the spatiotemporal dynamics of wetland habitats is fundamental to effective conservation practices. In this study, using Landsat imagery and the random forest (RF) machine learning algorithm, we mapped the winter distribution of four wetland habitats (i.e., Carex meadow, reedbed, mudflat, and shallow water) in East...

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