scholarly journals Analysing the spatial patterns of livestock anthrax in Kazakhstan in relation to environmental factors: a comparison of local (Gi*) and morphology cluster statistics

2012 ◽  
Vol 7 (1) ◽  
pp. 111 ◽  
Author(s):  
Ian T. Kracalik ◽  
Jason K. Blackburn ◽  
Larisa Lukhnova ◽  
Yerlan Pazilov ◽  
Martin E. Hugh-Jones ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Spatial Patterns

scholarly journals First circumpolar assessment of Arctic freshwater phytoplankton and zooplankton diversity: Spatial patterns and environmental factors

2021 ◽  
Author(s):  
Ann Kristin Schartau ◽  
Heather L. Mariash ◽  
Kirsten S. Christoffersen ◽  
Daniel Bogan ◽  
Olga P. Dubovskaya ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Spatial Patterns ◽  
Freshwater Phytoplankton

scholarly journals Spatial Variation in Bacterioplankton Communities in the Pearl River, South China: Impacts of Land Use and Physicochemical Factors

2020 ◽  
Vol 8 (6) ◽  
pp. 814
Author(s):  
Lei Zhou ◽  
Weiyuan Chen ◽  
Jijia Sun ◽  
Li Liu ◽  
Xiande Huang
Keyword(s):  
Land Use ◽  
Environmental Factors ◽  
Spatial Patterns ◽  
Agricultural Land ◽  
Anthropogenic Activities ◽  
Specific Conductivity ◽  
Pearl River ◽  
Physicochemical Factors ◽  
The Pearl River ◽  
Bacterioplankton Communities

River ecosystems are critical for human and environmental health, with bacterioplankton playing a vital role in biogeochemical cycles. Unveiling the spatial patterns of bacterioplankton communities in relation to environmental factors is important for understanding the processes of microbial variation and functional maintenance. However, our understanding of the correlations among bacterioplankton communities, physicochemical factors, and land use, especially in large rivers affected by intensive anthropogenic activities, remains relatively poor. Here, we investigated the bacterioplankton communities in July 2018 in three main tributaries of the Pearl River, i.e., Beijiang, Xijiang, and Pearl River Delta, based on 16S rRNA high-throughput sequencing. Results showed that the most dominant phyla, Proteobacteria, Actinobacteria, Cyanobacteria, and Planctomycetes accounted for 33.75%, 22.15%, 11.65%, and 10.48% of the total abundance, respectively. The bacterioplankton communities showed remarkable differences among the three tributaries in terms of composition, structure, diversity, and predictive functional profiles. Mantel and partial Mantel tests revealed that the bacterioplankton communities were affected by physicochemical variables (p < 0.01) and land use (p < 0.01). Redundancy analysis identified specific conductivity, dissolved oxygen, agricultural land, ammonium, urban land, and water transparency as the dominant environmental factors influencing the bacterioplankton communities in the Pearl River. Variation partitioning analysis indicated that both physicochemical factors and land use had direct effects on the bacterioplankton community, and that land use may also shape bacterioplankton communities through indirect effects of physicochemical factors on riverine ecosystems. This study provides fundamental information on the diversity, spatial patterns, and influencing factors of bacterioplankton communities in the Pearl River, which should enhance our understanding of how such communities change in response to environmental gradients and anthropogenic activities.

Spatial patterns of mesozooplankton communities in the Northwestern Iberian shelf during autumn shaped by key environmental factors

2017 ◽  
Vol 198 ◽  
pp. 257-268 ◽  
Author(s):  
Rula Domínguez ◽  
Susana Garrido ◽  
A. Miguel P. Santos ◽  
Antonina dos Santos
Keyword(s):  
Environmental Factors ◽  
Spatial Patterns

Spatial patterns of leaf δ13C and its relationship with plant functional groups and environmental factors in China

2017 ◽  
Vol 122 (7) ◽  
pp. 1564-1575 ◽  
Author(s):  
Mingxu Li ◽  
Changhui Peng ◽  
Meng Wang ◽  
Yanzheng Yang ◽  
Kerou Zhang ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Functional Groups ◽  
Spatial Patterns ◽  
Plant Functional Groups

Assessing Quality of Life Across Mexico City Using Socio-Economic and Environmental Factors

2020 ◽  
Vol 11 (3) ◽  
pp. 68-86
Author(s):  
Gustavo Alberto Ovando Montejo ◽  
Amy E. Frazier
Keyword(s):  
Quality Of Life ◽  
Environmental Factors ◽  
Mexico City ◽  
Spatial Patterns ◽  
Environmental Conditions ◽  
Physical Structure ◽  
Urban Quality Of Life ◽  
Quality Of Life Index ◽  
The City

Urban quality of life studies increasingly incorporate both socio-economic and environmental factors into their analyses, yet few studies have explored how the socio-economic factors relate to the environmental conditions or how to statistically describe the spatial patterns of quality of life as they relate to the socio-economic and environmental structure of a city. This paper evaluates a quality of life index for Mexico City that takes into account both social and environmental factors through a factor analysis and explores the relationship between the contributing environmental and social factors through a regression analysis. The spatial patterns of quality of life across the city are then examined using a geographic clustering technique. Results indicate that both socio-economic and environmental segregation characterize the physical structure of Mexico City and suggest that the peripheral areas of the city suffer from poor socio-economic conditions even though they have positive environmental conditions.

scholarly journals The impact of socio-economic and environmental factors on the spatial patterns of cancer incidence in Israel: A registry-based cohort study

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Inass Kayyal Tarabeia ◽  
Aviad Zick ◽  
Yaron Michael ◽  
Itai Kloog ◽  
Ilan Levy ◽  
...  
Keyword(s):  
Cohort Study ◽  
Environmental Factors ◽  
Spatial Patterns ◽  
Cancer Incidence ◽  
The Impact

Spatial Patterns of Macrobenthic Communities in Shallow-Water Tidal Embayments and Their Association with Environmental Factors

2009 ◽  
Vol 44 (1) ◽  
pp. 119-135 ◽  
Author(s):  
Yong Q. Tian ◽  
Jianjun Wang ◽  
John A. Duff ◽  
Brian L. Howes ◽  
Angeliki Evgenidou
Keyword(s):  
Environmental Factors ◽  
Shallow Water ◽  
Spatial Patterns ◽  
Macrobenthic Communities
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