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spatialMaxent: Adapting species distribution modeling to spatial data [PDF]

open access: yesEcology and Evolution, 2023
Conventional practices in species distribution modeling lack predictive power when the spatial structure of data is not taken into account. However, choosing a modeling approach that accounts for overfitting during model training can improve predictive ...
Lisa Bald, Jannis Gottwald, Dirk Zeuss
doaj   +3 more sources

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 ...
Senait D. Senay, Susan P. Worner
doaj   +6 more sources

Ensemble Species Distribution Modeling of Climate Change Impacts on Endangered Amphibians and Reptiles in South Korea [PDF]

open access: yesAnimals
Climate change poses a serious threat to amphibians and reptiles, which are especially vulnerable because of limited thermoregulatory capacity and restricted dispersal.
Jae-Ho Lee   +5 more
doaj   +2 more sources

Integrating species distribution modeling and climate projections to predict ant species redistribution [PDF]

open access: yesScientific Reports
As ecologically dominant keystone species, ants play critical roles in ecosystem functioning and trophic interactions. This study examines current and future distribution patterns of five ant species (Cataglyphis nodus, Crematogaster subdentata, Lasius ...
Arsalan Khalili-Moghadam   +1 more
doaj   +2 more sources

Comparing sample bias correction methods for species distribution modeling using virtual species

open access: yesEcosphere, 2021
A key assumption in species distribution modeling (SDM) with presence‐background (PB) methods is that sampling of occurrence localities is unbiased and that any sampling bias is proportional to the background distribution of environmental covariates ...
Richard Inman   +3 more
doaj   +2 more sources

Caveats for correlative species distribution modeling

open access: yesEcological Informatics, 2015
Abstract Correlative species distribution models are becoming commonplace in the scientific literature and public outreach products, displaying locations, abundance, or suitable environmental conditions for harmful invasive species, threatened and endangered species, or species of special concern.
Catherine S Jarnevich   +2 more
exaly   +2 more sources

Range Shifts in the Worldwide Expansion of Oenothera drummondii subsp. drummondii, a Plant Species of Coastal Dunes

open access: yesDiversity, 2021
Oenothera drummondii is a coastal dunes plant species from the North American continent that has affected the natural structure and dynamics of Spanish, Israeli, and Chinese shores as an invasive species.
Frida R. Castillo-Infante   +3 more
doaj   +1 more source

Terrestrial or marine species distribution model: Why not both? A case study with seabirds

open access: yesEcology and Evolution, 2021
Species reliant on both the terrestrial and marine realms present a challenge for conventional species distribution models (SDMs). For such species, standard single‐realm SDMs may omit key information that could result in decreased model accuracy and ...
Henry Häkkinen   +3 more
doaj   +1 more source

Winners and Losers: Cordulegaster Species under the Pressure of Climate Change

open access: yesInsects, 2023
(1) Bioclimatic factors have a proven effect on species distributions in terrestrial, marine, or freshwater ecosystems. Because of anthropogenic effects, the changes in these variables are accelerated; thus, the knowledge of the impact has great ...
Judit Fekete   +6 more
doaj   +1 more source

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   +2 more sources

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