English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The identification of the wood mouse  Apodemus sylvaticus  and the yellow-necked mouse  Apodemus flavicollis  in the field has challenged many generations of field mammalogists, particularly in northern Spain and continental Italy. These two species present highly similar morphologic and morphometric characteristics especially when they are sympatric. Existing identification methods rely on morphometric and biometric measurements collected on killed or etherized animals, whereas in many field studies measurement may be taken only on live and awake animals. Genetic methods, instead, are time consuming, expensive and do not allow immediate identification in the field, which is a requirement in many types of ecological works. To contribute in filling this knowledge gap, the aims of this research were: 1) to assess biometric measurements (weight and length of hind foot) that allow species identification on live and awake animals and 2) to develop a predictive model and related software that, subject to refinement based on study area, will allow researchers to prioritise the selection of individuals to be identified by molecular approach. This model, based on a large (&gt;1500) sample of individuals captured in two different sites in central Italy, should help to classify live and awake individuals of  Apodemus  species. Attached to this paper is a Microsoft Excel spreadsheet that may be used to apply the model to new data.

Field identification of Apodemus flavicollis and Apodemus sylvaticus : a quantitative comparison of different biometric measurements