RIPARIAN BIRD COMMUNITY STRUCTURE AND DYNAMICS: DOG ISLAND, RED BLUFF, CALIFORNIA

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.

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Bird community structure in natural and urbanized habitats along an altitudinal gradient in Pauri district (Garhwal Himalaya) of Uttarakhand state, India

Biologia ◽

10.2478/s11756-012-0068-z ◽

2012 ◽

Vol 67 (4) ◽

Cited By ~ 8

Author(s):

Archana Naithani ◽

Dinesh Bhatt

Keyword(s):

Community Structure ◽

Altitudinal Gradient ◽

Diversity Index ◽

Bird Species ◽

Bird Community ◽

High Elevation ◽

Base Line ◽

Natural Habitats ◽

Forest Habitat ◽

Rarefaction Analysis

AbstractIn the Indian subcontinent there is hardly any study that compares the bird community structure of urban/suburban areas with those of forest habitat. The present survey identified diverse assemblages of birds in the Pauri district at different elevations. A total of 125 bird species belonging to 40 families including two least count species (Lophura leucomelanos and Pucrasia marcolopha) were recorded during this survey in the forest and urbanized habitats of Pauri District (Garhwal Hiamalaya) of Uttarakhand state, India. The high elevation (Pauri 1600–2100 m a.s.l.), mid elevation (Srikot-Khanda 900–1300 m a.s.l.) and low elevation (Srinagar 500–900 m a.s.l.) contributed 88.8%, 63.2% and 58.4% of the total species respectively. Rarefaction analysis and Shannon diversity index showed that the high elevation forest habitat had highest bird species richness (BSR) and bird species diversity (BSD) followed by the mid and then the low elevation forests. BSR and BSD fluctuated across seasons at all elevations but not across habitat types. Present study provides a base line data about avian community composition in urbanized and natural habitats along altitudinal gradient in the study area. This information may be useful to the conservation biologists for the better management and conservation of the avifauna in the Western Himalaya, a part of one of the hot biodiversity spots of the world.

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Bird community structure in native forest fragments and Acacia mangium plantations in Borneo

The Wilson Journal of Ornithology ◽

10.1676/16-125.1 ◽

2018 ◽

Vol 130 (1) ◽

pp. 112 ◽

Cited By ~ 4

Author(s):

Alison R. Styring ◽

Joanes Unggang ◽

Alex Jukie ◽

Ollince Tateh ◽

Nyegang Megom ◽

...

Keyword(s):

Community Structure ◽

Acacia Mangium ◽

Bird Community ◽

Native Forest ◽

Forest Fragments

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Natural Population and Community Structure and Dynamics: the “Supply — Side Ecology”, Theory and the Field Data

The Application of Mathematics to the Sciences of Nature ◽

10.1007/978-1-4615-0591-4_13 ◽

2002 ◽

pp. 179-187 ◽

Cited By ~ 2

Author(s):

Giovanni Santangelo

Keyword(s):

Community Structure ◽

Natural Population ◽

Field Data ◽

Supply Side ◽

Structure And Dynamics

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

International Journal of Scientific Research and Management ◽

10.18535/ijsrm/v10i1.em7 ◽

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.

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