Results 21 to 30 of about 2,523,764 (195)

Updating known distribution models for forecasting climate change impact on endangered species [PDF]

open access: yes, 2013
To plan endangered species conservation and to design adequate management programmes, it is necessary to predict their distributional response to climate change, especially under the current situation of rapid change.
A Castro   +83 more
core   +3 more sources

Comparison of single- and multi-scale models for the prediction of the Culicoides biting midge distribution in Germany

open access: yesGeospatial Health, 2016
This study analysed Culicoides presence-absence data from 46 sampling sites in Germany, where monitoring was carried out from April 2007 until May 2008.
Renke Lühken   +6 more
doaj   +1 more source

Rana temporaria on Monti della Laga (Central Italy): isolated population or wide distribution? First record in Abruzzo and Marche

open access: yesActa Herpetologica, 2021
In Central Italy Rana temporaria is only known to occur as a glacial relict on the eastern side of Monti della Laga (Lazio). In this study we report the presence of the species in other areas of the mountain chain, with documented sightings in five ...
Francesco Di Toro   +7 more
doaj   +1 more source

Confronting species distribution model predictions with species functional traits. [PDF]

open access: yesEcol Evol, 2016
AbstractSpecies distribution models are valuable tools in studies of biogeography, ecology, and climate change and have been used to inform conservation and ecosystem management. However, species distribution models typically incorporate only climatic variables and species presence data.
Wittmann ME   +4 more
europepmc   +5 more sources

How can model comparison help improving species distribution models? [PDF]

open access: yesPLoS ONE, 2013
Today, more than ever, robust projections of potential species range shifts are needed to anticipate and mitigate the impacts of climate change on biodiversity and ecosystem services. Such projections are so far provided almost exclusively by correlative
Emmanuel Stephan Gritti   +3 more
doaj   +1 more source

Mapping the Abundance of Multipurpose Agroforestry Faidherbia albida Trees in Senegal

open access: yesRemote Sensing, 2022
Multi-purpose Faidherbia albida trees represent a vital component of agroforestry parklands in West Africa as they provide resources (fodder for livestock, fruits and firewood) and support water lifting and nutrient recycling for cropping.
Tingting Lu   +6 more
doaj   +1 more source

Modeling effects of abiotic factors on the abundances of eight woody species in the Harana forest using artificial networks, random forest, and generalized linear models

open access: yesEcological Processes, 2023
Background Abiotic factors exert different impacts on the abundance of individual tree species in the forest but little has been known about the impact of abiotic factors on the individual plant, particularly, in a tropical forest.
Girma Ayele Bedane   +2 more
doaj   +1 more source

Responses of four dominant dryland plant species to climate change in the Junggar Basin, northwest China

open access: yesEcology and Evolution, 2019
Aim Dryland ecosystems are exceedingly sensitive to climate change. Desertification induced by both climate changes and human activities seriously threatens dryland vegetation.
Jian Xiao   +5 more
doaj   +1 more source

Predicting extinctions with species distribution models

open access: yesCambridge 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

The shadow model: how and why small choices in spatially explicit species distribution models affect predictions [PDF]

open access: yesPeerJ, 2022
The use of species distribution models (SDMs) has rapidly increased over the last decade, driven largely by increasing observational evidence of distributional shifts of terrestrial and aquatic populations.
Christian J. C. Commander   +4 more
doaj   +2 more sources

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