Article

Predicting the distribution of common wild mammal species across Europe - are there sufficient occurrence data?

2025-03-03

Abstract excerpt

Context: Knowledge of where wildlife species are and in what number is critical to support robust contingency planning for diseases affecting animal and human health. For common widespread species in particular, comprehensive surveillance is impractical and challenging to coordinate. This is where models can be useful, to fill in the gaps and direct survey efforts to maximise understanding. The ENETWILD project wa...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 9c060271-0bcd-531a-a196-0a136e769e15
DOI: 10.1101/2025.02.27.640497

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Predicting the distribution of common wild mammal species across Europe - are there sufficient occurrence data?DOI 10.1101/2025.02.27.640497Read

Landscape connectivity for predicting the spread of ASF in the European wild boar populationSemantic proximity Read

Tracking the distribution and impacts of diseases with biological records and distribution modellingSemantic proximity Read

Title: A widespread mesocarnivore at a crossroads: Distribution patterns and emerging threats to Jungle Cat (Felis chaus) conservationSemantic proximity Read

A widespread mesocarnivore at a crossroads: Distribution patterns and emerging threats to Jungle Cat (Felis chaus) conservationSemantic proximity Read

Alleviating human–wildlife conflicts: identifying the causes and mapping the risk of illegal poisoning of wild faunaSemantic proximity Read

Modelling Approaches for Predicting the Distribution of Skin NTDs: A Systematic ReviewSemantic proximity Read

Phylogenetic and biogeographical traits predict unrecognized hosts of zoonotic leishmaniasisSemantic proximity Read

Analysis of a European general wildlife health surveillance program: chances, challenges and recommendationsSemantic proximity Read

Predictive ecological niche models using Open Access-‘BIG DATA’ quantify anthropogenic influence: Overlapping common (Panthera pardus), snow leopard (P. uncia) and prey species in Central HimalayaSemantic proximity Read

Modelling the distribution of the tick Ixodes ricinus in England and Wales using passive surveillance data from citizen science reportsSemantic proximity Read

Different environmental contexts, different responses: Evaluating the drivers of red fox occupancy patterns in PortugalSemantic proximity Read

Ecological traits explain wild felid responses to human-modified landscapes in Brazil: an open-data approach for conservationSemantic proximity Read