Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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The drivers of community structure, diversity and distribution, has generated a lot of interest among many scientists, giving the complex environmental and biological interaction, at different scales. This prompted the application of multivariate techniques to explain the factors influencing variations in wetland plant community structure, diversity and distribution, in Northern Region of Ghana. A total of 40 species were sampled and separated into four community structure(swamp forest community; shrub land community; grassland community and herbaceous community), using DCA. Herbs, grasses and trees/shrubs constituted 72.72%, 27.27% and 0.01% respectively. Change in plant community distribution was marginal, as the first two axes only explained 1.18% of the variance along a longitudinal profile of environmental gradient. Species turnover was low, indicating a far more unimodal responses of some species to a gradient of disturbances than others. Plant diversity was moderate(H′ = 1.86 -2.66).
Collins Ayine Nsor. 2015. \u201cDeterminants of Aquatic Plant Community Structure, Diversity Anddistribution in Wetlands of Northern Region (Ghana)\u201d. Global Journal of Science Frontier Research - C: Biological Science GJSFR-C Volume 15 (GJSFR Volume 15 Issue C1): .
Crossref Journal DOI 10.17406/GJSFR
Print ISSN 0975-5896
e-ISSN 2249-4626
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Total Score: 101
Country: South Africa
Subject: Global Journal of Science Frontier Research - C: Biological Science
Authors: Collins Ayine Nsor (PhD/Dr. count: 0)
View Count (all-time): 140
Total Views (Real + Logic): 4200
Total Downloads (simulated): 2119
Publish Date: 2015 03, Fri
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Neural Networks and Rules-based Systems used to Find Rational and
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The drivers of community structure, diversity and distribution, has generated a lot of interest among many scientists, giving the complex environmental and biological interaction, at different scales. This prompted the application of multivariate techniques to explain the factors influencing variations in wetland plant community structure, diversity and distribution, in Northern Region of Ghana. A total of 40 species were sampled and separated into four community structure(swamp forest community; shrub land community; grassland community and herbaceous community), using DCA. Herbs, grasses and trees/shrubs constituted 72.72%, 27.27% and 0.01% respectively. Change in plant community distribution was marginal, as the first two axes only explained 1.18% of the variance along a longitudinal profile of environmental gradient. Species turnover was low, indicating a far more unimodal responses of some species to a gradient of disturbances than others. Plant diversity was moderate(H′ = 1.86 -2.66).
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