Journal
REMOTE SENSING
Volume 7, Issue 4, Pages 4233-4252Publisher
MDPI
DOI: 10.3390/rs70404233
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Funding
- Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning (FORMAS)
- Future Forests
- Swedish Energy Agency
- Swedish Governmental Agency for Innovation Systems (VINNOVA)
- Stiftelsen Gunnar och Birgitta Nordins fond (The Royal Swedish Academy of Agriculture and Forestry) [H14-0081-GBN]
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In managed landscapes, conservation planning requires effective methods to identify high-biodiversity areas. The objective of this study was to evaluate the potential of airborne laser scanning (ALS) and forest estimates derived from satellite images extracted at two spatial scales for predicting the stand-scale abundance and species richness of birds and beetles in a managed boreal forest landscape. Multiple regression models based on forest data from a 50-m radius (i.e., corresponding to a homogenous forest stand) had better explanatory power than those based on a 200-m radius (i.e., including also parts of adjacent stands). Bird abundance and species richness were best explained by the ALS variables maximum vegetation height and vegetation cover between 0.5 and 3 m (both positive). Flying beetle abundance and species richness, as well as epigaeic (i.e., ground-living) beetle richness were best explained by a model including the ALS variable maximum vegetation height (positive) and the satellite-derived variable proportion of pine (negative). Epigaeic beetle abundance was best explained by maximum vegetation height at 50 m (positive) and stem volume at 200 m (positive). Our results show that forest estimates derived from satellite images and ALS data provide complementary information for explaining forest biodiversity patterns. We conclude that these types of remote sensing data may provide an efficient tool for conservation planning in managed boreal landscapes.
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