[HTML][HTML] Comparing the performance of global, geographically weighted and ecologically weighted species distribution models for Scottish wildcats using GLM and …
Species distribution modeling has emerged as a foundational method to predict occurrence
and suitability of species in relation to environmental variables to advance ecological …
and suitability of species in relation to environmental variables to advance ecological …
Host, environment, and anthropogenic factors drive landscape dynamics of an environmentally transmitted pathogen: Sarcoptic mange in the bare‐nosed wombat
Understanding the spatial dynamics and drivers of wildlife pathogens is constrained by
sampling logistics, with implications for advancing the field of landscape epidemiology and …
sampling logistics, with implications for advancing the field of landscape epidemiology and …
[HTML][HTML] Simulating multi-scale optimization and variable selection in species distribution modeling
Species distribution modeling (SDM) is a fundamental tool in theoretical and applied
ecology. However, relatively little is known about the performance of different approaches for …
ecology. However, relatively little is known about the performance of different approaches for …
Machine learning algorithms for the prediction of EUROP classification grade and carcass weight, using 3-dimensional measurements of beef carcasses
H Nisbet, N Lambe, GA Miller… - Frontiers in Animal …, 2024 - frontiersin.org
Introduction Mechanical grading can be used to objectively classify beef carcasses. Despite
its many benefits, it is scarcely used within the beef industry, often due to infrastructure and …
its many benefits, it is scarcely used within the beef industry, often due to infrastructure and …
Unexpected sources of uncertainty in projecting habitat shifts for Arctic shorebirds under climate change
CM Anderson, L Fahrig, J Rausch… - Diversity and …, 2024 - Wiley Online Library
Abstract Aim The rapidly changing Arctic is ideal for investigating uncertainties in climate
projections. Despite the challenges of collecting data in this region, an unprecedented large …
projections. Despite the challenges of collecting data in this region, an unprecedented large …
[HTML][HTML] Reviving the Arabian leopard: Harnessing historical data to map habitat and pave the way for reintroduction
Abstract The Arabian leopard (Panthera pardus nimr) has experienced dramatic range and
population contractions over the last century. Conservation efforts for this felid focused on …
population contractions over the last century. Conservation efforts for this felid focused on …
Multi-model assessment of potential natural vegetation to support ecological restoration
Ecological restoration is imperative for controlling desertification. Potential natural
vegetation (PNV), the theoretical vegetation succession state, can guides near-natural …
vegetation (PNV), the theoretical vegetation succession state, can guides near-natural …
Machine learning allows for large-scale habitat prediction of a wide-ranging carnivore across diverse ecoregions
Objectives We tested two methods for predicting continental-scale, second-order habitat
selection of a wide-ranging large carnivore, the mountain lion (Puma concolor), to support …
selection of a wide-ranging large carnivore, the mountain lion (Puma concolor), to support …
[HTML][HTML] Using AutoML and generative AI to predict the type of wildfire propagation in Canadian conifer forests
Accurate prediction of wildfire behaviour is critical for safe and effective fire management
and suppression. This study focused on develo** and evaluating machine learning (ML) …
and suppression. This study focused on develo** and evaluating machine learning (ML) …
Cross-realm transferability of species distribution models–Species characteristics and prevalence matter more than modelling methods applied
Abstract Species Distribution Models (SDMs) are frequently applied in ecological research,
but geographic transferability of SDMs holds major uncertainties. Here, we assess the cross …
but geographic transferability of SDMs holds major uncertainties. Here, we assess the cross …