Monitoring wetland of Poyang Lake National Nature Reserve zone by remote sensing

2008 ◽  
Author(s):  
Xinghua Le ◽  
Zhewen Fan ◽  
Yu Fang ◽  
Yuping Yu ◽  
Yun Zhang
2014 ◽  
Vol 26 (2) ◽  
pp. 243-252 ◽  
Author(s):  
CHEN Bing ◽  
◽  
CUI Peng ◽  
LIU Guanhua ◽  
LI Fengshan ◽  
...  

2014 ◽  
Vol 26 (2) ◽  
pp. 253-259 ◽  
Author(s):  
YE Chun ◽  
◽  
WU Guiping ◽  
ZHAO Xiaosong ◽  
WANG Xiaolong ◽  
...  

2013 ◽  
Vol 25 (5) ◽  
pp. 707-714 ◽  
Author(s):  
YE Chun ◽  
◽  
ZHAO Xiaosong ◽  
WU Guiping ◽  
WANG Xiaolong ◽  
...  

Diversity ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 308
Author(s):  
Megersa Tsegaye Debela ◽  
Qingming Wu ◽  
Lu Chen ◽  
Xueying Sun ◽  
Zhuo Xu ◽  
...  

The present study aimed to investigate the structure, composition and diversity of the over-wintering aquatic bird community of Poyang Lake, including Poyang Lake National Nature Reserve (PNNR), Nanji National Nature Reserve (NNNR) and Duchang Provincial Nature Reserve (DPNR), China. After the preliminary survey, birds surveyed from vantage points at each study site between the years 2016 and 2020 in the winter season. A total of 58 bird species belonging to nine orders and 13 families were observed. The study showed variation in effective species numbers (Species richness, Shannon’s diversity and Simpson’s diversity) among the three study sites and the survey years. Nanji National Nature Reserve had the highest avian diversity, whereas Duchang Provincial Nature Reserve had the lowest. Globally threatened bird species, Siberian Crane (critically endangered), Oriental Stork (endangered), found in our study sites. However, the current management practices of the nature reserve and conservation of this globally threatened bird species are inadequate, especially of Duchang Provincial Nature Reserve. Therefore, for long term conservation of birds in these areas, it needs continuing intentional improvement of the sites and awareness creation to the local community.


2021 ◽  
Vol 13 (14) ◽  
pp. 2781
Author(s):  
Juan Durango-Cordero ◽  
Behara Satyanarayana ◽  
Jonathan Cheung-Wai Chan ◽  
Jan Bogaert ◽  
Farid Dahdouh-Guebas

The present research developed a novel methodological framework to differentiate natural mangrove stands (i.e., original), from stands which were planted and stands naturally established after interaction between planted and non-planted stands (e.g., through pollination, i.e., non-original). Ground-truth and remote sensing data were collected for Zhanjiang Mangrove National Nature Reserve (ZMNNR) in P.R. China. First, satellite images of Corona (1967) and GeoEye-1 (2009) were overlaid to identify original (1967) and non-original (2009) mangrove stands. Second, in both stands a total of 75 in situ plots (25 m2) were measured for ground-truthing of tree structural parameters including height, density, basal area and Complexity Index (CI). From temporal satellite data, we identify 236.12 ha of original mangrove and 567.88 ha of non-original mangrove in the reserve. Averaged measurements of the original mangrove stands, i.e., stem density (1164 nos. 0.1 ha−1), basal area (90.3 m2 0.1 ha−1) and CI (100.59), indicated that they were in a state of maturity and less disturbed compared to the non-original mangroves (density, 1241 nos. 0.1 ha−1; basal area, 4.92 m2 0.1 ha−1 and CI, 55.65). The Kruskal–Wallis test showed significant differentiation between the original and non-original mangrove tree structural parameters: Kandelia obovata’s density, X2 = 34.78, d.f. = 1, p = 0.001; basal area, X2 = 108.15, d.f. = 1, p = 0.001; Rizhopora stylosa’s density, X2 = 64.03, d.f. = 1, p = 0.001; basal area, X2 = 117.96, d.f. = 1, p = 0.001. The latter is also evident from the clustering plots generated from the Principal Component Analysis (PCA). Vegetation dynamics at the ZMNNR also enabled us to compare the species composition and distribution patterns with other Indo-West Pacific regions. Overall, the present study not only highlights the advantage of >50 years old satellite data but also provide a benchmark for future ecological research, conservation and management of the ZMNNR.


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