scholarly journals Spatial–Temporal Dynamics of Wetland Vegetation Related to Water Level Fluctuations in Poyang Lake, China

Water ◽  
2016 ◽  
Vol 8 (9) ◽  
pp. 397 ◽  
Author(s):  
Zhiqiang Tan ◽  
Jiahu Jiang
Keyword(s):  
Water Level ◽  
Temporal Dynamics ◽  
Poyang Lake ◽  
Wetland Vegetation ◽  
Water Level Fluctuations

Responses of wetland vegetation in Poyang Lake, China to water-level fluctuations

Hydrobiologia ◽  
2016 ◽  
Vol 773 (1) ◽  
pp. 35-47 ◽  
Author(s):  
Xue Dai ◽  
Rongrong Wan ◽  
Guishan Yang ◽  
Xiaolong Wang ◽  
Ligang Xu
Keyword(s):  
Water Level ◽  
Poyang Lake ◽  
Wetland Vegetation ◽  
Water Level Fluctuations

Water-level fluctuations are key for phytoplankton taxonomic communities and functional groups in Poyang Lake

2019 ◽  
Vol 104 ◽  
pp. 470-478 ◽  
Author(s):  
Jinfu Liu ◽  
Yuwei Chen ◽  
Mingjia Li ◽  
Baogui Liu ◽  
Xia Liu ◽  
...  
Keyword(s):  
Water Level ◽  
Functional Groups ◽  
Poyang Lake ◽  
Water Level Fluctuations

Water-level fluctuations affect the alpha and beta diversity of macroinvertebrates in Poyang Lake, China

2020 ◽  
Author(s):  
Chaozhong Tan ◽  
Tianjin Sheng ◽  
Lizhu Wang ◽  
Evance Mbao ◽  
Jin Gao ◽  
...  
Keyword(s):  
Water Level ◽  
Beta Diversity ◽  
Poyang Lake ◽  
High Water ◽  
Freshwater Ecosystems ◽  
Water Level Fluctuations ◽  
Spatial And Temporal Variability ◽  
Alpha And Beta Diversity ◽  
Β Diversity ◽  
Α Diversity

Water-level fluctuations (WLFs) are a key influence on aquatic biodiversity in seasonally inundatedfreshwater ecosystems. However, how unregulated WLFs affect macroinvertebrates in lake-floodplain systemsexperiencing considerable annual fluctuations remains unclear. We explored spatial and temporal variability intaxonomic α and β diversity in the largest fluctuating lake in China, Poyang Lake, during two hydrological seasons.We hypothesized that taxa richness (α diversity) is greater in the floodplain than in the lake channel due to greateravailability of trophic resources, and that variability in assemblage composition (β diversity) in the channel isgreater during the high-water season (HWS) than the low-water season (LWS) due to increased habitat heterogeneity.Benthic macroinvertebrate assemblages were sampled, water physicochemical and hydrological variables weremeasured, and geographical coordinates were determined at 34 sites during the HWS (October 2017) and LWS(January and April 2018). A total of 74 taxa were recorded. Macroinvertebrate α diversity was comparable in thefloodplain and the lake channel. Beta diversity in the channel was greater during HWS than LWS. Hydrologicalvariables influenced β diversity during LWS and geographical distance between sites increased β diversity duringHWS, whereas physicochemical variables did not influence β diversity in either hydrological season. Our resultssuggest that extensive WLFs altered macroinvertebrate biodiversity among hydrological seasons by extending waterinto floodplains during HWS and reducing substrate heterogeneity in the lake channel during LWS. We thushighlight the importance of WLFs that maintain such environmental seasonality in supporting the biodiversity ofbenthic macroinvertebrates in naturally dynamic freshwater ecosystems.

Impact of water level fluctuations on the succession of zooplankton in Poyang lake

2020 ◽  
Vol 40 (4) ◽  
Author(s):  
吕乾 LÜ Qian ◽  
胡旭仁 HU Xuren ◽  
聂雪 NIE Xue ◽  
欧阳珊 OUYANG Shan ◽  
王超 WANG Chao ◽  
...  
Keyword(s):  
Water Level ◽  
Poyang Lake ◽  
Water Level Fluctuations

Monitoring the spatio-temporal dynamics of the wetland vegetation in Poyang Lake by Landsat and MODIS observations

2020 ◽  
Vol 725 ◽  
pp. 138096 ◽  
Author(s):  
Shaojie Mu ◽  
Bing Li ◽  
Jing Yao ◽  
Guishan Yang ◽  
Rongrong Wan ◽  
...  
Keyword(s):  
Temporal Dynamics ◽  
Poyang Lake ◽  
Wetland Vegetation ◽  
Spatio Temporal

Impact of seasonal water-level fluctuations on autumn vegetation in Poyang Lake wetland, China

2019 ◽  
Vol 13 (2) ◽  
pp. 398-409 ◽  
Author(s):  
Xue Dai ◽  
Rongrong Wan ◽  
Guishan Yang ◽  
Xiaolong Wang ◽  
Ligang Xu ◽  
...  
Keyword(s):  
Water Level ◽  
Poyang Lake ◽  
Water Level Fluctuations ◽  
Poyang Lake Wetland

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

Water ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 8
Author(s):  
Xi Jiang ◽  
Jiasheng Wang ◽  
Xiaoguang Liu ◽  
Juan Dai
Keyword(s):  
Water Level ◽  
Vegetation Cover ◽  
Vegetation Index ◽  
Poyang Lake ◽  
Dynamic Change ◽  
Wetland Vegetation ◽  
Spatial And Temporal Variation ◽  
Gradual Change ◽  
Mean Water Level ◽  
The Mean

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.

Effect of water level fluctuations on wintering goose abundance in Poyang Lake wetlands of China

2016 ◽  
Vol 27 (2) ◽  
pp. 248-258 ◽  
Author(s):  
Shaoxia Xia ◽  
Yu Liu ◽  
Bin Chen ◽  
Yifei Jia ◽  
Huan Zhang ◽  
...  
Keyword(s):  
Water Level ◽  
Poyang Lake ◽  
Water Level Fluctuations ◽  
Effect Of Water ◽  
Lake Wetlands
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