Results 141 to 150 of about 12,763 (276)
A Large-Scale MaxEnt Model for the Distribution of the Endangered Pygmy Madtom
Samantha A. Allen +2 more
openalex +1 more source
Abstract Species distribution models (SDMs) play a vital role in biodiversity research, conservation planning and ecological niche modelling by predicting species distributions based on environmental conditions. The selection of predictors is crucial, strongly impacting both model accuracy and how well the predictions reflect ecological patterns.
Robin Zbinden +5 more
wiley +1 more source
Prediction of Potential Suitable Distribution Areas of Quasipaa spinosa in China Based on MaxEnt Optimization Model [PDF]
Jinliang Hou +3 more
openalex +1 more source
We modeled the current and future distributions of seven Geositta species along elevational gradients in South America under two climate change scenarios. Our results show that most species are projected to lose suitable habitats, particularly under the high‐emission scenario, with distinct responses between lowland and highland taxa.
Ricardo C. Meireles +3 more
wiley +1 more source
Snakes on Trains: Railways May Sway Goa's King Cobra Distribution
Distribution of King Cobras (Ophiophagus kaalinga) across Goa, India, shows occurrence in climatically suitable forests and, notably, also along low‐suitability railway corridors, suggesting that snakes may be accidentally transported on trains, leading to range expansion.
Dikansh S. Parmar +4 more
wiley +1 more source
Ecological Niche Modeling of Three Fangfeng Species Under Present and Future Climate Scenarios. [PDF]
Tian Q +9 more
europepmc +1 more source
Incremental Entropy Relation as an Alternative to MaxEnt [PDF]
A. Plastino +5 more
openalex +1 more source
We provide two case‐studies that incorporate climate‐change refugia into management at local and regional scales. We demonstrate methods to test refugia predictions and monitor effectiveness. We share lessons learned to help other practitioners and scientists incorporate climate‐change refugia into management.
Christopher P. Nadeau +8 more
wiley +1 more source

