scholarly journals BENTHIC MACROINVERTEBRATE DIVERSITY AND FUNCTIONAL FEEDING GROUPS IN RELATION TO PHYSICOCHEMICAL FACTORS IN SANJIANG PLAIN WETLANDS, NORTHEAST CHINA

2019 ◽  
Vol 17 (2) ◽  
pp. 3387-3402
Author(s):  
I E SHABANI ◽  
M H LIU ◽  
H X YU ◽  
J.-B. B. MUHIGWA ◽  
F F GENG
Keyword(s):  
Northeast China ◽  
Sanjiang Plain ◽  
Benthic Macroinvertebrate ◽  
Functional Feeding Groups ◽  
Feeding Groups ◽  
Physicochemical Factors

Benthic Invertebrates Monitoring of the Muling River basin in Northeast China

2020 ◽  
Author(s):  
Xu Sun ◽  
Hongxian Yu
Keyword(s):  
River Basin ◽  
Environmental Variables ◽  
Wiener Index ◽  
Sanjiang Plain ◽  
Functional Feeding Groups ◽  
Heilongjiang Province ◽  
Total Abundance ◽  
Feeding Groups ◽  
Biodiversity Index ◽  
Northeast Of China

Abstract Background: Muling River is the fifth-largest river in Heilongjiang Province, and it is also the main feeding river to the Ussuri River which is the boundary river of China and Russia in Heilongjiang Province northeast of China. Muling River basin located in the south of Sanjiang Plain. Macroinvertebrate samples were collected using a D-frame net and Shannon-Wiener index were calculated in terms of abundance. Results: A total of 158 genera or species macroinvertebrate were collected from the 28 sampling sites and classified into six functional feeding groups including 61 gatherers/collectors, 42 predators, 22 scrapers, 14 shredders, 11 filterers/collectors and 8 omnivores. The correlation and relationship between environmental variables and macroinvertebrate functional feeding groups was explored using Pearson analysis and redundancy analysis. The analysis results displayed that macroinvertebrate functional feeding groups had strong relationships with the environmental variables in the Muling River basin.Conclusions: All FFGs, total abundance and Shannon-Wiener index were not significantly different. Total abundance of macroinvertebrates was higher in summer and biodiversity index was higher in autumn. Environmental factors of natural gradients and nutrition indicator were not significantly different, while others were significantly different.

Preliminary Results on Aquatic Insects in the Me Linh Station for Biodiversity, Vinh Phuc Province

2017 ◽  
Vol 33 (4) ◽  
Author(s):  
Nguyen Van Hieu ◽  
Nguyen Van Vinh
Keyword(s):  
Quantitative Analysis ◽  
Aquatic Insects ◽  
Field Survey ◽  
Aquatic Insect ◽  
Insect Species ◽  
Functional Feeding Groups ◽  
Species Number ◽  
Feeding Groups ◽  
Preliminary Results

An intensive field survey on aquatic insects of Me Linh Station for Biodiversity in Vinhphuc province was conducted in December 2015. Specimens were collected at 8 different sites and aquatic insects were collected both quantitatively by Surber net and qualitatively by hand net, pond net. As a result, a total of 110 aquatic insect species belonging to 98 genera, 49 families and 9 orders were recognized. Among these, the order Ephemeroptera had the highest species number with 26 species, followed by Odonata with 25 species, Trichoptera with 18 species, Coleoptera with 15 species, Hemiptera with 11 species, Diptera with 9 species. Lepidoptera, Plecoptera and Megaloptera had the lowest of species number, represented by 3 species of Lepidoptera, 2 species of Plecoptera and 1 species of Megaloptera. Besides, the quantitative analysis results and the functional feeding groups were provided.

scholarly journals Simulating Land-Use Changes and Predicting Maize Potential Yields in Northeast China for 2050

2021 ◽  
Vol 18 (3) ◽  
pp. 938
Author(s):  
Luoman Pu ◽  
Jiuchun Yang ◽  
Lingxue Yu ◽  
Changsheng Xiong ◽  
Fengqin Yan ◽  
...  
Keyword(s):  
Land Use ◽  
Food Security ◽  
Northeast China ◽  
Land Use Changes ◽  
Sanjiang Plain ◽  
Potential Production ◽  
Potential Yield ◽  
The Sanjiang Plain ◽  
Ecological Zones ◽  
The Future

Crop potential yields in cropland are the essential reflection of the utilization of cropland resources. The changes of the quantity, quality, and spatial distribution of cropland will directly affect the crop potential yields, so it is very crucial to simulate future cropland distribution and predict crop potential yields to ensure the future food security. In the present study, the Cellular Automata (CA)-Markov model was employed to simulate land-use changes in Northeast China during 2015–2050. Then, the Global Agro-ecological Zones (GAEZ) model was used to predict maize potential yields in Northeast China in 2050, and the spatio-temporal changes of maize potential yields during 2015–2050 were explored. The results were the following. (1) The woodland and grassland decreased by 5.13 million ha and 1.74 million ha respectively in Northeast China from 2015 to 2050, which were mainly converted into unused land. Most of the dryland was converted to paddy field and built-up land. (2) In 2050, the total maize potential production and average potential yield in Northeast China were 218.09 million tonnes and 6880.59 kg/ha. Thirteen prefecture-level cities had maize potential production of more than 7 million tonnes, and 11 cities had maize potential yields of more than 8000 kg/ha. (3) During 2015–2050, the total maize potential production and average yield decreased by around 23 million tonnes and 700 kg/ha in Northeast China, respectively. (4) The maize potential production increased in 15 cities located in the plain areas over the 35 years. The potential yields increased in only nine cities, which were mainly located in the Sanjiang Plain and the southeastern regions. The results highlight the importance of coping with the future land-use changes actively, maintaining the balance of farmland occupation and compensation, improving the cropland quality, and ensuring food security in Northeast China.

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