Does detailed vegetation structure derived from airborne laser scanning (ALS) contribute to prediction of abundance and species richness of birds and beetles in boreal forest?

Lindberg, Eva (author): Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för skoglig resurshushållning,Department of Forest Resource Management

Roberge, Jean-Michel (author): Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för vilt, fisk och miljö,Department of Wildlife, Fish and Environmental Studies

Löfroth, Therese (author): Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för vilt, fisk och miljö,Department of Wildlife, Fish and Environmental Studies

Hjältén, Joakim (author): Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för vilt, fisk och miljö,Department of Wildlife, Fish and Environmental Studies

(creator_code:org_t)

Abstract Subject headings

In managed landscapes, conservation planning requires effective methods to identify high-biodiversity areas. Satellite images and airborne laser scanning (ALS) can provide information about vegetation over large areas. This study evaluates the potential of detailed vegetation structure derived from ALS data for predicting the stand-scale abundance and species richness of birds and beetles in a managed boreal forest landscape. Earlier results have shown that 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), while the abundance and species richness of flying beetles as well as epigaeic (i.e., ground-living) beetles were best explained by a model including the ALS variable "maximum vegetation height" (positive) and the satellite-derived variable "proportion of pine" (negative). Now we include new explanatory variables describing the size of the tree crowns and the patchiness of the canopy derived from ALS data. The results demonstrate the level of detail in vegetation structure that can be obtained from ALS data and the importance of this information compared to other variables derived from remote sensing on a coarser scale.

By the author/editor: Lindberg, Eva; Roberge, Jean-Mi ...; Löfroth, Therese; Hjältén, Joakim

About the subject

ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Environmental En ...; and Remote Sensing

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