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1. Remotely sensed forest structural complexity predicts multi species occurrence at the landscape scale

Author:
Zellweger, Florian; Braunisch, Veronika; Baltensweiler, Andri; Bollmann, Kurt
Source:
Forest ecology and management 2013 v.307 pp. 303-312
ISSN:
0378-1127
Subject:
grouse,   etc   ; Picoides; Tetrao urogallus; canopy; edge effects; forestry; forests; habitats; landscapes; leaves; lidar; managers; models; remote sensing; snags; species diversity; sympatry; trees; woodpeckers; Switzerland;     Show all 20 Subjects
Abstract:
... Along with plant species composition forest structural complexity is an important determinant of forest biodiversity, but difficult to predict in space from field data. We analyzed forest structural complexity based on a comprehensive set of variables derived from nationally available, area-wide remote sensing, particularly LiDAR data. We generated variables related to vertical and horizontal stru ...
DOI:
10.1016/j.foreco.2013.07.023