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2011
The results show that among the three approaches, the potentially suitable habitats derived from cartographic overlay cover the largest area and are likely to overestimate existing occurrence areas. The logistic regression model predicts approximately 56% as suitable area, while maximum entropy results covers approximately 9% of the sanctuary. Although
Trisurat, Yongyut, Toxopeus, A.G.
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The results show that among the three approaches, the potentially suitable habitats derived from cartographic overlay cover the largest area and are likely to overestimate existing occurrence areas. The logistic regression model predicts approximately 56% as suitable area, while maximum entropy results covers approximately 9% of the sanctuary. Although
Trisurat, Yongyut, Toxopeus, A.G.
openaire +2 more sources
Geography Compass, 2010
Abstract The use of species distribution models (SDM) to map and monitor animal and plant distributions has become increasingly important in the context of awareness of environmental change and its ecological consequences. From their original inception as resource inventory and conservation mapping tools, SDM have evolved along with ...
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Abstract The use of species distribution models (SDM) to map and monitor animal and plant distributions has become increasingly important in the context of awareness of environmental change and its ecological consequences. From their original inception as resource inventory and conservation mapping tools, SDM have evolved along with ...
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Shaping an ecosystem for species distribution modeling
Proceedings of the 7th International Conference on Management of computational and collective intElligence in Digital EcoSystems, 2015Species Distribution Modeling applications depend on large amounts of data containing important hidden insights and patterns that can be discovered using statistic and/or genetic algorithms to support predictive analyses for biodiversity conservation.
Michel J. M. Bieleveld +2 more
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Predicting the potential distribution of bamboo with species distribution models
2012 20th International Conference on Geoinformatics, 2012Using history climate data and two representative climate change scenarios, we predicted the potential distribution of bamboo in China from 1961 to 2099 based on specie distribution models. Through evaluating the impact of presence-only, true-absence and pseudo-absence data on SVM models accuracy on the potential distribution of bamboo during 1981–2000,
Jiaxin Jin +6 more
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Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources, 2019
The use of species distribution models (SDM) is of increasing popularity when studying biological invasions, e.g. to assess the impact of climate change on invasive species, to prioritize conservation measures, or to study invasive evolutionary biology ...
V. Srivastava +2 more
semanticscholar +1 more source
The use of species distribution models (SDM) is of increasing popularity when studying biological invasions, e.g. to assess the impact of climate change on invasive species, to prioritize conservation measures, or to study invasive evolutionary biology ...
V. Srivastava +2 more
semanticscholar +1 more source
Progress in Physical Geography: Earth and Environment, 2012
The main goal of species distribution modeling is to identify important underlying factors related to broad-scale ecological patterns in order to make meaningful explanations or accurate predictions. When standard statistical methods such as regression are used to formulate these models, assumptions about the spatial structure of the data and the model
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The main goal of species distribution modeling is to identify important underlying factors related to broad-scale ecological patterns in order to make meaningful explanations or accurate predictions. When standard statistical methods such as regression are used to formulate these models, assumptions about the spatial structure of the data and the model
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Species sensitivity distributions: data and model choice
Marine Pollution Bulletin, 2002Species sensitivity distributions (SSDs) are increasingly incorporated into ecological risk assessment procedures. Although these new techniques offer a more transparent approach to risk assessment they demand more and superior quality data. Issues of data quantity and quality are especially important for marine datasets that tend to be smaller (and ...
Grist, EPM +4 more
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Ecological Indicators, 2019
Developing spatially explicit models of Ecosystem Services (ES) distribution and diversity across the territory has been increasingly attracting the interest of researchers and policy-makers due to its potential to operacionalize and mainstream the ES ...
Pedro Clemente +5 more
semanticscholar +1 more source
Developing spatially explicit models of Ecosystem Services (ES) distribution and diversity across the territory has been increasingly attracting the interest of researchers and policy-makers due to its potential to operacionalize and mainstream the ES ...
Pedro Clemente +5 more
semanticscholar +1 more source
Models for the logarithmic species abundance distributions
Theoretical Population Biology, 1974Abstract Three models, developed by Karlin, McGregor and Ewens to describe evolving populations of selectively neutral genotypes, are shown to lead to various versions of Fisher's logarithmic series distribution for species abundance. Statistical inference procedures and measures of diversity which have been developed in one of the two contexts are ...
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Building Statistical Models To Analyze Species Distributions
Ecological Applications, 2006Abstract Models of the geographic distributions of species have wide application in ecology. But the nonspatial, single-level regression models that ecologists typically employ do not deal with problems of sampling irregularity or spatial dependence, and do not adequately quantify uncertainty. We show here how to build statistical models
Andrew M, Latimer +3 more
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