Results 21 to 30 of about 95,111 (302)

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

Examining and addressing the Wallacean shortfall : species distribution modelling and biodiversity patterns of hawkmoths in the old world [PDF]

open access: yes, 2013
The geographic distribution of the species is one of the basic units of information in ecology and biogeography, yet for the vast majority of the species in the world is quite unknown. It is a phenomenon called the Wallacean shortfall.
Ballesteros-Meja, L.
core   +1 more source

Identification of potential suitable habitats and high conservation value areas for threatened species in Rajah Sikatuna Protected Landscape, Philippines [PDF]

open access: yesOne Ecosystem
Identifying suitable habitats and High Conservation Value Areas (HCVAs) for threatened species is critical for informing site-based management in biodiversity-rich, but vulnerable landscapes.
Wilbert Aureo   +6 more
doaj   +3 more sources

Interpreting predictive maps of disease: highlighting the pitfalls of distribution models in epidemiology

open access: yesGeospatial Health, 2014
The application of spatial modelling to epidemiology has increased significantly over the past decade, delivering enhanced understanding of the environmental and climatic factors affecting disease distributions and providing spatially continuous ...
Nicola A. Wardrop   +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

Quantifying the distribution and potential biotic interactions between deer and flora using species distribution modelling

open access: yesAnnals of GIS, 2023
Invasive species are ranked as one of the leading drivers of global biodiversity loss. To mitigate their impact, we must understand the future risks caused by invasive species, particularly to flora of conservation concern.
J. O’Mahony   +2 more
doaj   +1 more source

Records of common species of amphibians and reptiles widespread in northern, central, western and southern Ukraine [PDF]

open access: yesBiodiversity Data Journal, 2023
The dataset includes records of amphibian and reptile species from northern, central, western and southern Ukraine made by Ukrainian herpetologist O. D. Nekrasova during her field trips in the period from 1996 to 2022. Chosen species were not included in
Oksana Nekrasova, Oleksii Marushchak
doaj   +3 more sources

Ecological niche modelling and nDNA sequencing support a new, morphologically cryptic beetle species unveiled by DNA barcoding. [PDF]

open access: yes, 2011
DNA sequencing techniques used to estimate biodiversity, such as DNA barcoding, may reveal cryptic species. However, disagreements between barcoding and morphological data have already led to controversy.
Hendrich, Lars   +12 more
core   +1 more source

Delineating generalized species boundaries from species distribution data and a species distribution model [PDF]

open access: yesInternational Journal of Geographical Information Science, 2013
Species distribution models (SDM) are commonly used to provide information about species ranges or extents, and often are intended to represent the entire area of potential occupancy or suitable habitat in which individuals occur. While SDMs can provide results over various geographic extents, they normally operate within a grid and cannot delimit ...
Matthew P. Peters   +3 more
openaire   +1 more source

Machine Learning and Its Applications in Studying the Geographical Distribution of Ants

open access: yesDiversity, 2022
Traditional species distribution modelling relies on the links between species and their environments, but often such information is unavailable or unreliable.
Shan Chen, Yuanzhao Ding
doaj   +1 more source

Home - About - Disclaimer - Privacy