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Article

Landsat Observations of Two Decades of Wetland Changes in the Estuary of Poyang Lake during 2000–2019

by 1,2, 1,2,*, 1,2,* and 1,2
1
Changjiang River Scientific Research Institute, Wuhan 430000, China
2
Key Laboratory of the Regulation and Flood Control of Middle and Lower Reaches of the Yangtze River under Ministry of Water Resources, Wuhan 430000, China
*
Authors to whom correspondence should be addressed.
Academic Editors: Zheng Duan and Babak Mohammadi
Water 2022, 14(1), 8; https://doi.org/10.3390/w14010008
Received: 10 November 2021 / Revised: 16 December 2021 / Accepted: 17 December 2021 / Published: 21 December 2021
The stability of wetlands is threatened by the combined effects of global climate change and human activity. In particular, the vegetation cover status of lake wetlands has changed. Here, the change in vegetation cover at the estuary of Poyang Lake was monitored, and its influencing factors are studied to elucidate the dynamic change characteristics of vegetation at the inlet of this lake. Flood and water level changes are two of the main factors affecting the evolution of wetland vegetation at the estuary of Poyang Lake. Therefore, Landsat data from 2000 to 2019 were used to study the spatial and temporal variation in the Normalized Difference Vegetation Index (NDVI) in the vegetation cover area. Theil–Sen Median trend analysis and Mann–Kendall tests were used to study the long-term trend characteristics of NDVI. The response between NDVI and the explanatory variables at the estuary of Poyang Lake was quantified using regression tree analysis to study the regional climate, water level, and flood inundation duration. Results showed the following: (1) Vegetation in a large area of the study area improved significantly from 2000 to 2010 and only slightly from 2010 to 2019, and few areas with slight degradation of vegetation were found. In most of these areas, the vegetation from 2000 to 2010 exhibited a gradual change, from nothing to something, which started around 2004; (2) The main variable that separated the NDVI values was the mean water level in October. When the mean October water level was greater than 14.467 m, the study area was still flooded in October. Thus, the regional value of BestNDVI was approximately 0.3, indicating poor vegetation growth. When the mean water level in October was less than 14.467 m, the elevation of the study area was higher than the water level value, and after the water receded in October, the wetland vegetation exhibited autumn growth in that year. Thus, the vegetation in the study area grew more abundantly. These results could help manage and protect the degraded wetland ecology. View Full-Text
Keywords: lake wetland; Normalized Difference Vegetation Index; regression tree lake wetland; Normalized Difference Vegetation Index; regression tree
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MDPI and ACS Style

Jiang, X.; Wang, J.; Liu, X.; Dai, J. Landsat Observations of Two Decades of Wetland Changes in the Estuary of Poyang Lake during 2000–2019. Water 2022, 14, 8. https://doi.org/10.3390/w14010008

AMA Style

Jiang X, Wang J, Liu X, Dai J. Landsat Observations of Two Decades of Wetland Changes in the Estuary of Poyang Lake during 2000–2019. Water. 2022; 14(1):8. https://doi.org/10.3390/w14010008

Chicago/Turabian Style

Jiang, Xi, Jiasheng Wang, Xiaoguang Liu, and Juan Dai. 2022. "Landsat Observations of Two Decades of Wetland Changes in the Estuary of Poyang Lake during 2000–2019" Water 14, no. 1: 8. https://doi.org/10.3390/w14010008

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