A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
Predicting bird species richness using remote sensing in boreal agricultural-forest mosaics
Tekijät: Luoto M, Virkkala R, Heikkinen RK, Rainio K
Kustantaja: ECOLOGICAL SOC AMER
Julkaisuvuosi: 2004
Lehti:: Ecological Applications
Tietokannassa oleva lehden nimi: ECOLOGICAL APPLICATIONS
Lehden akronyymi: ECOL APPL
Vuosikerta: 14
Numero: 6
Aloitussivu: 1946
Lopetussivu: 1962
Sivujen määrä: 17
ISSN: 1051-0761
DOI: https://doi.org/10.1890/02-5176
Tiivistelmä
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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