Results 11 to 20 of about 14,653,154 (285)

Uncertainty analysis of species distribution models.

open access: yesPLoS ONE, 2019
The maximum entropy model, a commonly used species distribution model (SDM) normally combines observations of the species occurrence with environmental information to predict the geographic distributions of animal or plant species.
Xi Chen   +2 more
doaj   +3 more sources

Species distribution modeling in the tropics: problems, potentialities, and the role of biological data for effective species conservation [PDF]

open access: yes, 2009
In this paper we aim to investigate the problems and potentialities of species distribution modeling (SDM) as a tool for conservation planning and policy development and implementation in tropical regions.
Alkemade, J. R. M.   +7 more
core   +11 more sources

Bounding species distribution models [PDF]

open access: yesCurrent Zoology, 2011
Species distribution models are increasing in popularity for mapping suitable habitat for species of management concern. Many investigators now recognize that extrapolations of these models with geographic information systems (GIS) might be sensitive to ...
Thomas J. STOHLGREN, Catherine S. JARNEVICH, Wayne E. ESAIAS,Jeffrey T. MORISETTE
doaj   +3 more sources

Species distribution models for species distribution modellers [PDF]

open access: yesFrontiers of Biogeography, 2012
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
doaj   +5 more sources

Species distribution modeling in the cloud [PDF]

open access: yesConcurrency and Computation: Practice and Experience, 2013
SummarySpecies 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
openaire   +3 more sources

Understanding spatial effects in species distribution models.

open access: yesPLoS ONE, 2023
Species Distribution Models often include spatial effects which may improve prediction at unsampled locations and reduce Type I errors when identifying environmental drivers.
Iosu Paradinas   +2 more
doaj   +1 more source

Species distribution models of tropical deep-sea snappers. [PDF]

open access: yesPLoS ONE, 2015
Deep-sea fisheries provide an important source of protein to Pacific Island countries and territories that are highly dependent on fish for food security. However, spatial management of these deep-sea habitats is hindered by insufficient data.
Céline Gomez   +5 more
doaj   +1 more source

Monotonicity-constrained species distribution models [PDF]

open access: yesEcology, 2011
Flexible modeling frameworks for species distribution models based on generalized additive models that allow for smooth, nonlinear effects and interactions are of increasing importance in ecology. Commonly, the flexibility of such smooth function estimates is controlled by means of penalized estimation procedures.
Benjamin, Hofner   +2 more
openaire   +2 more sources

Potential Coffee Distribution in a Central-Western Region of Mexico

open access: yesEcologies, 2023
Currently, there is a world coffee production crisis which has been attributed, among other factors, to the COVID-19 pandemic that affected the development of productive agricultural activities.
Armando Avalos Jiménez   +3 more
doaj   +1 more source

Multi-Scenario Species Distribution Modeling [PDF]

open access: yesInsects, 2019
Correlative species distribution models (SDMs) are increasingly being used to predict suitable insect habitats. There is also much criticism of prediction discrepancies among different SDMs for the same species and the lack of effective communication about SDM prediction uncertainty.
Senait D. Senay, Susan P. Worner
openaire   +4 more sources

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