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2019
Models of species distributions aim to describe and often to predict the spatial distribution of individual species, using as a basis the species’ relationship with its environment. At a broad level this can be done in two main ways. The first is to model the processes that underpin where the species occur: demographic or physiological processes that ...
Adam Duarte +2 more
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Models of species distributions aim to describe and often to predict the spatial distribution of individual species, using as a basis the species’ relationship with its environment. At a broad level this can be done in two main ways. The first is to model the processes that underpin where the species occur: demographic or physiological processes that ...
Adam Duarte +2 more
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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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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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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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Modelling Species’ Distributions
2011Species distribution models have become a commonplace exercise over the last 10 years, however, analyses vary due to different traditions, aims of applications and statistical backgrounds. In this chapter, I lay out what I consider to be the most crucial steps in a species distribution analysis: data pre-processing and visualisation, dimensional ...
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Virtual species distribution models
Progress in Physical Geography: Earth and Environment, 2014Species distribution models (SDMs) have become a dominant paradigm for quantifying species-environment relationships, and both the models and their outcomes have seen widespread use in conservation studies, particularly in the context of climate change research.
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Geostatistical Modeling of Species Distributions
1997The geographic distribution of an organism forms a nested hierarchy of patterns across a range of spatial and temporal scales. Generalizing distribution patterns from locality data is difficult because of the inability to maintain a given level of sampling intensity with increasing spatial scale.
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Species Distribution Modeling in the Cloud
2012Species distribution modeling is a process aiming at computationally predicting the distribution of species in geographic areas on the basis of environmental parameters including climate data. Such a quantitative approach has a lot of potentialities in many areas that include setting up conservation priorities, testing biogeographic hypotheses ...
Candela L. +4 more
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