Impacts of Species Misidentification on Species Distribution Modeling with Presence-Only Data [PDF]
ISPRS International Journal of Geo-Information, 2015 Spatial records of species are commonly misidentified, which can change the predicted distribution of a species obtained from a species distribution model (SDM).
Hugo Costa +3 more
doaj +5 more sources
Modeling Invasive Plant Species in Kenya’s Northern Rangelands
Frontiers in Environmental Science, 2020 Kenya is composed of diverse geographic regions and is heavily impacted by climatic variability. Habitat heterogeneity has led to a diverse number of plants and animals. Invasive species, however, threaten this biodiversity. This study mapped the current
Edward Ouko +12 more
doaj +1 more source
Future uncertainties for the distribution and conservation of Paubrasilia echinata under climate change [PDF]
Acta Botânica Brasílica, 2019 Paubrasilia echinata is a widely cultivated endangered tree species with small populations restricted to a narrow strip of habitats along the Brazilian coast. The potential impacts of climate change on the distribution of P.
Luíz Fernando Esser +2 more
doaj +1 more source
Range map datasets for terrestrial vertebrates across Taiwan
Data in Brief, 2022 Accurate data describing the geographic distribution of specific species form the basis for effective conservation management policies. However, for most species the freely available distributional information is usually confined to either expert maps or
An-Yu Chang +14 more
doaj +1 more source
Community Confounding In Joint Species Distribution Models [PDF]
Scientific Reports, 2021 Abstract Joint species distribution models have become ubiquitous for studying species-habitat relationships and dependence among species. Accounting for community structure often improves predictive power, but can also alter inference on species-habitat relationships.
Justin J. Van Ee +2 more
openaire +3 more sources
Connecting species’ geographical distributions to environmental variables: range maps versus observed points of occurrence [PDF]
, 2020 Connecting the geographical occurrence of a species with underlying environmental variables is fundamental for many analyses of life history evolution and for modeling species distributions for both basic and practical ends.
del Hoyo J. +7 more
core +1 more source
Monotonicity-constrained species distribution models [PDF]
Ecology, 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
Predicting extinctions with species distribution models
Cambridge Prisms: Extinction, 2023 Abstract Predictions of species-level extinction risk from climate change are mostly based on species distribution models (SDMs). Reviewing the literature, we summarise why the translation of SDM results to extinction risk is conceptually and methodologically challenged and why critical SDM assumptions are unlikely to be met under ...
Zurell, Damaris +3 more
openaire +3 more sources
Used-habitat calibration plots: a new procedure for validating species distribution, resource selection, and step-selection models [PDF]
, 2018 “Species distribution modeling” was recently ranked as one of the top five “research fronts” in ecology and the environmental sciences by ISI's Essential Science Indicators (Renner and Warton 2013), reflecting the importance of predicting how species ...
ArchMiller, Althea A. +5 more
core +1 more source
book review: Species distribution models for species distribution modellers [PDF]
Frontiers 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.
openaire +3 more sources