Skip to main content
padlock icon - secure page this page is secure

A national‐scale model of linear features improves predictions of farmland biodiversity

The full text article is temporarily unavailable.

We apologise for the inconvenience. Please try again later.



Modelling species distribution and abundance is important for many conservation applications, but it is typically performed using relatively coarse‐scale environmental variables such as the area of broad land‐cover types. Fine‐scale environmental data capturing the most biologically relevant variables have the potential to improve these models. For example, field studies have demonstrated the importance of linear features, such as hedgerows, for multiple taxa, but the absence of large‐scale datasets of their extent prevents their inclusion in large‐scale modelling studies.
No References
No Citations
No Supplementary Data
No Article Media
No Metrics

Keywords: GIS; Hedgerow; abundance model; agriculture; bird; butterfly; remote sensing; species distribution model

Document Type: Research Article

Publication date: December 1, 2017

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more