RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2023, Vol. 32 >> Issue (8): 1653-1663.doi: 10.11870/cjlyzyyhj202308009

Previous Articles     Next Articles

Seasonal Landscape Pattern Changes of Shengjin Lake and #br# Its Influencing Factors During the Wintering Period of Waterbirds

CHEN Xin-tong1,2,3, HE Bin-fang1,2,3, HUO Yan-feng1,2,3, ZHANG Hong-qun1,2,3,  LIU Hui-min1,2,3, XUN Shang-pei1,2,3   

  1. (1. Anhui Province Key Laboratory of Atmospheric Science and Satellite Remote Sensing, Anhui Institute of Meteorological Sciences, Hefei 230031, China; 2. Shouxian National Climatology Observatory, Shouxian 232200, China; 
    3. Huaihe River Basin Typical Farm Eco-meteorological Experiment Field of CMA, Shouxian 232200, China)

  • Online:2023-08-20 Published:2023-08-23

Abstract: The Shengjin Lake in Anhui Province is an important wintering habitat for waterbirds in the middle and lower Yangtze River floodplain. As a river-connected lake, the landscape pattern manifests seasonal changes that affects the habitat suitability of waterbirds. This study investigated the change of landscape pattern of Shengjin Lake and the influencing factors, using correlation analysis and regression models, for the period of waterbird wintering season (i.e., from November 2021 to April 2022). Data of remote sensing images of Landsat and GF6, water levels, and meteorological data were collected. Results showed that the water level played a major role in controlling the landscape pattern. In the early wintering period when the water level was below 11 m, the grassland and mudflats area reached the maximum values of 51.6 km2 and 14.4 km2, respectively. A rising of water level during the middle wintering season led to an expansion of water surface area and a rapid shrinkage of grassland and mudflats coverage, reaching the minimum of 5.6 km2 and 8.5 km2, respectively. In the late wintering period when the water level was above 13 m, the core area of Shengjin Lake Reserve was dominated by water surface, and the area of grassland and mudflats was less than 5 km2,distributing near the lake bank. The human control in Huangpen Sluice caused a decline of water level in early March, and an associated increase of the coverage of grassland. The findings were further supported by a statistical analysis. At the landscape scale, the water level was significantly positively correlated with the largest patch index and contagion index (p<0.05), while negatively correlated with the patch density and Shannon’s diversity index (p<0.05). Moreover, regression results revealed that precipitation was a major factor affecting the water level of Shengjin Lake (p<0.05). In the middle and late wintering periods, precipitation affected the landscape pattern of Shengjin Lake via its influence on the lake water level. The Reserve Department may regulate the lake water level according to the seasonal changes of the landscape pattern of Shengjin Lake to provide a suitable habitat for waterbirds during the wintering season.

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] LI Jian-Bao, HUANG Xian-Jin, MENG Hao, ZHOU Yan, XU Guo-Liang, WU Chang-Yan. Analysis of Cumulative Target Completion Rate of Carbon Intensity in China During the Period of “Twelfth Five-Year”[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(08): 1655 .
[2] LI Jia-yi, KUANG Hong-hai, TAN Chao, WANG Pei-pei.  

Spatio-Temporal Characteristics and Ecological Response of Urban Expansion in the Yangtze River Economic Zone [J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(10): 2153 -2161 .

[3] WANG Lei, LI Cheng-li.  

The Effect of Multi-Center Structure of Urban Agglomerations in Central China [J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(10): 2231 -2240 .

[4] TANG Zijun, CHEN Long, QIN Jun, ZHENG Xiang . Numerical Simulation of the Local Flow Field and the Boundary Layer Structure in the Pollution Process in Wuhan[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(11): 2540 -2547 .
[5] WANG Dongxiang, ZHANG Yiming, WANG Ruicheng, ZHAO Bingyan, ZHANG Zhiqi, HUANG Xianyu, . Characteristics of Dissolved Organic Matter in Pore Water from the Dajiuhu Peatland, Central China[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(11): 2568 -2577 .
[6] WANG Hai-li, HAN Guang-zhong, XIE Xian-jian. Spatiotemporal Pattern Evolvement Based on the DEA Model and Its Driving Factors of Arable Land Utilization Efficiency of the Southwest Region in China[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(12): 2784 -2795 .
[7] WANG Cong-cong, WANG Yi-cheng, MA Ren-feng, WANG Jing-min. Impact of Economic Agglomeration on Pollution of Smog Based on Spatial Econometric Model:The Case Study of Yangtze River Delta[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2019, 28(01): 1 -11 .
[8] ZHAO Shu-cheng, ZHANG Zhan-yu, XIA Ji-hong, YANG Jie, SHENG Li-ting, TANG Dan, CHEN Xiao-an, . Phosphorus Adsorption Characteristics of Riparian Soils Surrounding Poyang Lake[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2019, 28(01): 166 -174 .
[9] RUAN Tian, ZHA Qian-yu, YANG Ru, GAO Chao. Effects on Runoff Above the Cuntan Station Area in the Yangtze River Basin Under the 1.5℃ and 2.0℃ Global Warming[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2019, 28(02): 407 -415 .
[10] NIU Qian, ZHOU Xu, ZHANG Ji, JIANG Xiao, YANG Jiang-zhou. Evolution of Ecosystem Resilience in Mountainous Cities of Karst——Taking Guiyang Urban Area as An Example[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2019, 28(03): 722 -730 .