Meiofaunal community structure and dynamics in a Hong Kong mangrove

2001 ◽  
Author(s):  
Hong Zhou
Keyword(s):  
Hong Kong ◽  
Community Structure ◽  
Structure And Dynamics ◽  
Meiofaunal Community

Levels of Spatial Variability: The “Community” Problem

1990 ◽  
Vol 5 ◽  
pp. 13-30 ◽  
Author(s):  
D. A. Springer ◽  
A. I. Miller
Keyword(s):  
Community Structure ◽  
Spatial Variability ◽  
Species Distribution ◽  
Distribution Patterns ◽  
The Past ◽  
Structure And Dynamics ◽  
Evolutionary Units ◽  
The Way

The way we view species distribution patterns, particularly at the level commonly referred to as the “community”, has changed over the past 70 years in biology and, subsequently, in paleontology. Because the degree to which species associations can be interpreted as ecological and evolutionary units depends ultimately on recognition and interpretation of faunal spatial variability, we need to understand the nature of this variability at all levels of resolution before we can adequately address questions of “community” structure and dynamics. While it is possible to recognize spatial variability at several levels, from the distributions of individuals within a species to the overall pattern created by the global biota, we must ask whether these patterns really comprise a hierarchy with natural discontinuities (Fig. 1), or whether it is more realistic to view them as a continuous variability spectrum.

scholarly journals The meiofaunal community structure of a Mediterranean lagoon (Gialova lagoon, Ionian Sea)

2000 ◽  
Vol 54 (1) ◽  
pp. 7-17 ◽  
Author(s):  
V. E. McArthur ◽  
D. Koutsoubas ◽  
N. Lampadariou ◽  
C. Dounas
Keyword(s):  
Community Structure ◽  
Ionian Sea ◽  
Mediterranean Lagoon ◽  
Meiofaunal Community

scholarly journals Assessment of Effect of Hydropower Plant Projects on Socio-Environmental Sustenance and Development in Rwanda: A Review Done At Rubagabaga Hydropower Ltd.

2022 ◽  
Vol 10 (01) ◽  
pp. 2888-2904
Author(s):  
Dr. MUTESI Jean Claude
Keyword(s):  
Community Structure ◽  
Null Hypothesis ◽  
Quantitative Research ◽  
Target Population ◽  
Positive Influence ◽  
Hydropower Plant ◽  
P Value ◽  
Structure And Dynamics ◽  
Hydropower Plants ◽  
The Impact

The study investigated the socio-economic and environmental impact of hydropower projects in Rwanda with a case study of Rubagabaga hydropower Ltd operating from Nyabihu District. It examines the impact of a socio-economic and environmental hydropower plant in Rwanda, identifies the challenge hydropower plants face in Rwanda, and finally investigates the relationship between hydro powers and their socio-economic impact in Rwanda? In this research, the quantitative research design is based on statistical data of the research that was used with quantitative and qualitative methods. Questionnaires were used to collect data. The target population of this study was made up of 252 participants including 154 respondents all from ten different villages surrounding the Rubagabaga plant in Nyabihu District. Data were analyzed using descriptive and correlation analysis and tables that were interpreted to confirm or deny the relevance of the main and specific objectives. Based on results from table no.16 demonstrates that the beta= 0.397 with the t value of 2.333 and the p-value of 0. 021. Since the p-value is less than 0.05, the researcher rejected the null hypothesis and considered it an alternate. There is a strong positive relationship between environmental assessment of hydropower plant projects and socio-environmental sustenance and development. In a nutshell, the researcher has rejected the null hypothesis and considered its alternate. Community structure and dynamics have a positive influence on socio-environmental sustenance and development. Table no.16 shows that beta= 0.341 with the t value of 2.668 as the p-value was 0.009. Since the p-value is less than 0.05. Therefore, the researcher rejected the null hypothesis and considered it an alternate. According to table no.21, the changes in community structure and dynamics of the hydropower plant project cause the increase of 0.341 (34.1%) of the socio-environment sustenance and development. The ratio of beta modal results for the t value expressed t=2.66 hence the probability value is significant on socio-environment sustenance and development noting that sig. =0.009. Carefully, the researcher has rejected the null hypothesis and considered its alternate. With this in mind, community structure and dynamics has a positive influence on socio-environmental sustenance and development. Table no.16 has shown beta= 0.478 with the t value of 4.543 as the p-value was 0.000 which is less than 0.05. According to the findings, the changes in government policies, stability, and support of hydropower plant project causes the increase of 0.478 (47.80%) of the socio-environment sustenance and development. The ratio of beta modal results for the t value expressed t= 4.54 hence the probability value is significant on socio-environment sustenance and development noting that sig. =0.000.

scholarly journals Habitat Heterogeneity Determines Climate Impact on Zooplankton Community Structure and Dynamics

PLoS ONE ◽  
2014 ◽  
Vol 9 (3) ◽  
pp. e90875 ◽  
Author(s):  
Saskia A. Otto ◽  
Rabea Diekmann ◽  
Juha Flinkman ◽  
Georgs Kornilovs ◽  
Christian Möllmann
Keyword(s):  
Community Structure ◽  
Habitat Heterogeneity ◽  
Zooplankton Community ◽  
Climate Impact ◽  
Zooplankton Community Structure ◽  
Structure And Dynamics

Monitoring Microbial Community Structure and Dynamics duringin situU(VI) Bioremediation with a Field-Portable Microarray Analysis System

2010 ◽  
Vol 44 (14) ◽  
pp. 5516-5522 ◽  
Author(s):  
Darrell P. Chandler ◽  
Alexander Kukhtin ◽  
Rebecca Mokhiber ◽  
Christopher Knickerbocker ◽  
Dora Ogles ◽  
...  
Keyword(s):  
Community Structure ◽  
Microbial Community ◽  
Microarray Analysis ◽  
Microbial Community Structure ◽  
Structure And Dynamics ◽  
Analysis System
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