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The Critical Role of Coefficients: Updating Allometric Normalisation Constants for Modern Ecology and Modelling. [PDF]
Ecol LettBlyth PSA +11 more
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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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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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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
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 ...
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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 ...
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Data-centric species distribution modeling
2023This is a repository for the manuscript: Hansen, S. E., M. J. Monfils, R. A. Hackett, R. T. Goebel, and A. K. Monfils. 2024. Data-centric species distribution modeling: Impacts of modeler decisions in a case study of invasive European frog-bit. Applications in Plant Sciences 12: e11573. https://doi.org/10.1002/aps3.11573.
Hansen, Sara E. +4 more
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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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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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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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