Correlation between Chla concentration and environmental factors in Poyang Lake, China

2013 ◽  
pp. 219-224
Author(s):  
Mao-Lin Hu ◽  
Hui-Ming Zhou ◽  
Fei Li
Keyword(s):  
Environmental Factors ◽  
Poyang Lake ◽  
Chla Concentration

Species selection for landscape rehabilitation and their response to environmental factors in Poyang Lake wetlands

2013 ◽  
Vol 33 (18) ◽  
pp. 5828-5834 ◽  
Author(s):  
谢冬明 XIE Dongming ◽  
金国花 JIN Guohua ◽  
周杨明 ZHOU Yangming ◽  
黄灵光 HUANG Lingguang ◽  
谭胤静 TAN Yinjing ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Poyang Lake ◽  
Species Selection ◽  
Selection For ◽  
Landscape Rehabilitation ◽  
Lake Wetlands

Relationship Between Vegetation Community Distribution Patterns and Environmental Factors in Typical Wetlands of Poyang Lake, China

Wetlands ◽  
2017 ◽  
Vol 39 (S1) ◽  
pp. 75-87 ◽  
Author(s):  
Hongxiang Fan ◽  
Ligang Xu ◽  
Xiaolong Wang ◽  
Jiahu Jiang ◽  
Wenjuan Feng ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Poyang Lake ◽  
Distribution Patterns ◽  
Vegetation Community

Environmental factors contributing to avian influenza risk in Poyang Lake region, China

2016 ◽  
Vol 75 (18) ◽  
Author(s):  
Xiaowen Li ◽  
Jing Yang ◽  
Shanqian Huang ◽  
Tao Zhang ◽  
Jianyu Chang ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Avian Influenza ◽  
Poyang Lake ◽  
Poyang Lake Region ◽  
Lake Region

Analysis of the correlations between environmental factors and rare cranes in the Poyang Lake region of China

2018 ◽  
Vol 44 (1) ◽  
pp. 140-148 ◽  
Author(s):  
Zhiqiang Huang ◽  
Lin Lu ◽  
Gengying Jiao ◽  
Jianhong Jiang ◽  
Qing Ye
Keyword(s):  
Environmental Factors ◽  
Poyang Lake ◽  
Poyang Lake Region ◽  
Lake Region

Canonical Correspondence Analysis on Phytoplankton Community and its Environmental Factors in Poyang Lake

2013 ◽  
Vol 671-674 ◽  
pp. 2604-2612
Author(s):  
Chun Hua Hu ◽  
Wei Shi ◽  
Qian Lou ◽  
Guo Ning Wang ◽  
Wen Bin Zhou
Keyword(s):  
Environmental Factors ◽  
Water Temperature ◽  
Phytoplankton Community ◽  
Poyang Lake ◽  
Water Environment ◽  
Hydrodynamic Conditions ◽  
Total Abundance ◽  
Average Abundance ◽  
Dry Seasons ◽  
Geographic Differences

Aimed at identifying the key influencing environmental factors of phytoplankton community, we investigated phytoplankton in June 2010 and February 2011 in Poyang Lake. Species from 58 genuses, 32 families and 7 phyla had been found in the investigations, and the major phyla were Chlorophyta, Bacillariophyta and Cyanophyta. The average abundance of phytoplankton in summer and winter were 35.92×105 cell/L and 26.63×105 cell/L, respectively. Even though the unique hydrodynamic conditions of such a water passing lake (during flood seasons Poyang Lake forming a vast lake, but in dry seasons, lake recedes into a channel) make the water environment unstably, Chlorophyta are able to adapt to the conditions and grow well, therefore, the lake was dominated by Chlorophyta, especially Chlorella and Cosmarium, respectively accounting for 56.38 % and 52.10 % of the total abundance in summer and winter. CCA ordination on 12 sampling sites, 58 genuses of phytoplankton and 10 environmental factors demonstrated that there were great geographic differences of water environmental physicochemical conditions in winter, while in summer, it’s not significant, besides, DO, water temperature and nutrients (nitrogen and phosphate) were the most important environmental factors that regulated the distribution of phytoplankton community.

Reductionist thinking and animal models in neuropsychiatric research

2019 ◽  
Vol 42 ◽  
Author(s):  
Nicole M. Baran
Keyword(s):  
Animal Models ◽  
Mental Disorders ◽  
Environmental Factors ◽  
Neuropsychiatric Disorders ◽  
Model Organisms ◽  
Developmental Genetic ◽  
Term Study ◽  
Genetic And Environmental Factors ◽  
Mechanisms Of Plasticity

AbstractReductionist thinking in neuroscience is manifest in the widespread use of animal models of neuropsychiatric disorders. Broader investigations of diverse behaviors in non-model organisms and longer-term study of the mechanisms of plasticity will yield fundamental insights into the neurobiological, developmental, genetic, and environmental factors contributing to the “massively multifactorial system networks” which go awry in mental disorders.

The dual nature of obesity in metabolic programming: quantity versus quality of adipose tissue

2020 ◽  
Vol 134 (18) ◽  
pp. 2447-2451
Author(s):  
Anissa Viveiros ◽  
Gavin Y. Oudit
Keyword(s):  
Adipose Tissue ◽  
Environmental Factors ◽  
Maternal Obesity ◽  
Metabolic Programming ◽  
Dual Nature ◽  
Prevalence Of Obesity ◽  
Adipose Tissue Volume ◽  
Males And Females ◽  
Metabolically Healthy

Abstract The global prevalence of obesity has been rising at an alarming rate, accompanied by an increase in both childhood and maternal obesity. The concept of metabolic programming is highly topical, and in this context, describes a predisposition of offspring of obese mothers to the development of obesity independent of environmental factors. Research published in this issue of Clinical Science conducted by Litzenburger and colleagues (Clin. Sci. (Lond.) (2020) 134, 921–939) have identified sex-dependent differences in metabolic programming and identify putative signaling pathways involved in the differential phenotype of adipose tissue between males and females. Delineating the distinction between metabolically healthy and unhealthy obesity is a topic of emerging interest, and the precise nature of adipocytes are key to pathogenesis, independent of adipose tissue volume.

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