Food availability and flight routes for migratory birds: a GIS approach
- Published
- Accepted
- Subject Areas
- Spatial and Geographic Information Systems
- Keywords
- wild berries, food availability, GRASS GIS, 3d visibility, forest types, QGIS, Open source, R-statistics, kernel, bird migration
- Copyright
- © 2016 Tattoni et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2016. Food availability and flight routes for migratory birds: a GIS approach. PeerJ Preprints 4:e2168v1 https://doi.org/10.7287/peerj.preprints.2168v1
Abstract
Bird migration is a wide studied phenomenon but still many factors that influence migratory flows remain unknown or poorly understood. Food availability en route is particularly important for many species and can affect their migration success, pattern and timing but this relationship have not often been addressed at wide scale due to the lack of spatial models of food availability on the terrain.The aim of this work is to fill this gap with a GIS-database approach that links together spatial and non-spatial information in order to map and measure food availability in the different periods of the year in the SE Alps, an important node of European migratory routes. We created a unique database that contains information on the presence and periods of fruitification of 52 wild plants carriyng berries and a series of original cartographic themes. With this approach we were able to identify various flyways and compare them with known stopover sites, ringing stations and food availability using a mix of techniques of statistical geostatistical and interpretation of ecological data.
Author Comment
This is an article intended for the OGRS2016 Collection, General session track.