A Benford’s law-based framework to determine the threshold of occurrence sites for species distribution modelling from ecological monitoring databases [PDF]
The use of data-based species distribution models (SDMs) has increased significantly in recent years. However, studies of determining the minimum requirements of occurrence sites from ecological monitoring datasets used in species distribution modelling ...
Taeyong Shim, Zhonghyun Kim, Jinho Jung
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Species distribution models for species distribution modellers [PDF]
ISSN 1948‐6596 news and update book review Species distribution models for species distribution modellers Ecological niches and geographic distributions, by Townsend A. Peterson, Jorge Soberon, Richard G. Pearson, Robert P. Anderson, Enrique Martinez‐Meyer, Miguel Nakamura & Miguel B.
Carsten F Dormann
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Using fuzzy logic to compare species distribution models developed on the basis of expert knowledge and sampling records [PDF]
Background Experts use knowledge to infer the distribution of species based on fuzzy logical assumptions about the relationship between species and the environment. Thus, expert knowledge is amenable to fuzzy logic modelling, which give to propositions a
David Romero +3 more
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Parasite species co-occurrence patterns on Peromyscus: Joint species distribution modelling [PDF]
Hosts are often infested by multiple parasite species, but it is often unclear whether patterns of parasite co-occurrence are driven by parasite habitat requirements or parasite species interactions.
Jasmine S.M. Veitch +2 more
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Assessment of fuzzy logic to enhance species distribution modelling of two cryptic wood boring beetle species in Australia [PDF]
Fuzzy logic presents a promising approach for Species Distribution Modelling by generating a value that can be used for comparative purposes termed ‘environmental favourability’.
Xingyu Li +4 more
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A Stepwise Assessment of Parsimony and Fuzzy Entropy in Species Distribution Modelling [PDF]
Entropy is intrinsic to the geographical distribution of a biological species. A species distribution with higher entropy involves more uncertainty, i.e., is more gradually constrained by the environment.
Alba Estrada, Raimundo Real
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Improving Species Distribution Modelling of freshwater invasive species for management applications. [PDF]
Freshwater ecosystems rank among the most endangered ecosystems in the world and are under increasing threat from aquatic invasive species (AIS). Understanding the range expansion of AIS is key for mitigating their impacts.
Marta Rodríguez-Rey +3 more
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A virtual species set for robust and reproducible species distribution modelling tests [PDF]
Predicting species potential and future distribution has become a relevant tool in biodiversity monitoring and conservation. In this data article we present the suitability map of a virtual species generated based on two bioclimatic variables, and a ...
Carol X. Garzon-Lopez +3 more
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Missing in action: Species competition is a neglected predictor variable in species distribution modelling. [PDF]
The central role of species competition in shaping community structure in ecosystems is well appreciated amongst ecologists. However species competition is a consistently missing variable in Species Distribution Modelling (SDM).
Kudzai Shaun Mpakairi +5 more
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Temporally stacked bee forage species distribution modeling for flower abundance mapping
Predicting spatial distribution of flowering forage availability is critical for guiding migratory beekeeping decisions.Species distribution modelling (SDM) is widely used to predict the geographic distribution or species ranges. Stacked distributions of
Vidushi Patel +4 more
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