Predicting bird species richness using remote sensing in boreal agricultural-forest mosaics
: Luoto M, Virkkala R, Heikkinen RK, Rainio K
Publisher: ECOLOGICAL SOC AMER
: 2004
Ecological Applications
ECOLOGICAL APPLICATIONS
: ECOL APPL
: 14
: 6
: 1946
: 1962
: 17
: 1051-0761
DOI: https://doi.org/10.1890/02-5176
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.