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, 2020
In recent years, the use of ecological niche models (ENMs) and species distribution models (SDMs) to explore the patterns and processes behind observed distribution of species has experienced an explosive growth.
Sara M. Melo‐Merino +2 more
semanticscholar +1 more source
In recent years, the use of ecological niche models (ENMs) and species distribution models (SDMs) to explore the patterns and processes behind observed distribution of species has experienced an explosive growth.
Sara M. Melo‐Merino +2 more
semanticscholar +1 more source
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
openaire +2 more sources
, 2020
Species distribution models can be affected by overprediction when dispersal movement is not incorporated into the modelling process. We compared the efficiency of seven methods that take into account spatial constraints to reduce overprediction when ...
P. Mendes +3 more
semanticscholar +1 more source
Species distribution models can be affected by overprediction when dispersal movement is not incorporated into the modelling process. We compared the efficiency of seven methods that take into account spatial constraints to reduce overprediction when ...
P. Mendes +3 more
semanticscholar +1 more source
A quantitative synthesis of the importance of variables used in MaxEnt species distribution models
Journal of Biogeography, 2017Johanna Bradie, B. Leung
semanticscholar +3 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 ...
openaire +2 more sources
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 ...
openaire +1 more source
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
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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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