The use of airborne lidar to assess avian species diversity, density, and occurrence in a pine/aspen forest
By R. Clawges, K. Vierling, L. Vierling, E. Rowell. 2008
198 citations recorded by the source corpus.
Subfields: Ecology, Environmental Engineering, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/dfbe8f8e0d9f1046ab575b43003e9f17cd6bf04a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- Michael E. Schaepman
- C. Bässler
- R. Brandl
- Jonathan P. Price
- Barbara C. Schmid
- Gregory P. Asner
- Volker C. Radeloff
- Jörg C Müller
In Environmental Engineering
- Daniel N. M. Donoghue
- I. Özdemir
- Barbara C. Schmid
- Gregory P. Asner
- R. Brandl
- A. A. Lesak
- Volker C. Radeloff
- Jörg C Müller
In Nature and Landscape Conservation
- Daniel N. M. Donoghue
- I. Özdemir
- Jonathan P. Price
- Barbara C. Schmid
- Gregory P. Asner
- R. Brandl
- A. A. Lesak
- Volker C. Radeloff
Citations in the corpus
- Long-term effects of fragmentation and fragment properties on bird species richness in Hawaiian forests (2010, methodology): “LiDAR has now been used to measure the threedimenstional structure of forests for the particular purpose of avian habitat and diversity analysis (Clawges et al., 2007; Goetz et al., 2007; Vierling et al., 2008).”
- Modelling tree size diversity from airborne laser scanning using canopy height models with image texture measures (2013, background): “Structurally diverse forest stands with vertical foliage layering provide important habitats (for example foraging, nesting, hiding and roosting) for different forest-dwelling organisms (Magurran, 1988; Clawges et al., 2008; Hinsley et al., 2009; Wood et al., 2012a).”
- Mapping functional diversity using individual tree-based morphological and physiological traits in a subtropical forest (2021, background): “Where pi is the proportion of horizontal vegetation in the ith layer (3 m vertical interval), namely, the ratio of LiDAR returns in the ith layer to the total returns (Clawges et al., 2008; MacArthur and MacArthur, 1961).”
- Modeling forest songbird species richness using LiDAR-derived measures of forest structure (2011, background): “A third difference to consider is that our study was conducted in mature deciduous forests that have relatively little variability in vertical structure, and LiDAR habitat models in a single vegetation types tend to exhibit low correlations (Clawges et al., 2008).”
- Using airborne laser scanning to model potential abundance and assemblages of forest passerines. (2009, methodology): “For the field measurements, conducted in 2007, we selected characteristics that were often used in ornithological studies (Chambers, McComb, & Tappeiner 1999; Clawges et al. 2008; Goetz et al. 2007; Hinsley et al. 2006; James & Wamer 1982) and characteristics with the potential to explain the abunda”
- Environmental predictors of species richness in forest landscapes: abiotic factors versus vegetation structure (2016, unknown): “2013) with a pixel size of 50 m, thus approximating the reference areas that are frequently applied to quantify foliage height diversity (Clawges et al., 2008; Simonson et al., 2012).”