A1 Refereed original research article in a scientific journal
Predicting bird species richness using remote sensing in boreal agricultural-forest mosaics
Authors: Luoto M, Virkkala R, Heikkinen RK, Rainio K
Publisher: ECOLOGICAL SOC AMER
Publication year: 2004
Journal:: Ecological Applications
Journal name in source: ECOLOGICAL APPLICATIONS
Journal acronym: ECOL APPL
Volume: 14
Issue: 6
First page : 1946
Last page: 1962
Number of pages: 17
ISSN: 1051-0761
DOI: https://doi.org/10.1890/02-5176
Abstract
We conclude that, instead of scattered study plots in which birds are counted, predictive modeling requires large study areas where the variation within the whole landscape can be taken into account. A spatial grid system with several environmental variables derived from remote sensing data produces the most reliable data sets, which can be used when predicting species richness in other landscapes.
We conclude that, instead of scattered study plots in which birds are counted, predictive modeling requires large study areas where the variation within the whole landscape can be taken into account. A spatial grid system with several environmental variables derived from remote sensing data produces the most reliable data sets, which can be used when predicting species richness in other landscapes.
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