An evaluation of different diameter diversity indices based on criteria related to forest management planning
By N. Lexerød, Tron Eid. 2006
260 citations recorded by the source corpus.
Subfields: Environmental Engineering, Global and Planetary Change, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/e837cbc785e7ce6e73d833a0f9e9b4238722a24d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Environmental Engineering
- Matti Maltamo
- Petteri Packalen
- Ole Martin Bollandsås
- Erik Næsset
- Ruben Valbuena
- Richard A. Fournier
- Sylvie Durrieu
- Jean-Pierre Renaud
In Global and Planetary Change
- Erik Næsset
- Ole Martin Bollandsås
- Petteri Packalen
- Matti Maltamo
- Ruben Valbuena
- Susana Martı´n-Fernández
- Xiangdong Lei
- Marc Bouvier
In Nature and Landscape Conservation
- Matti Maltamo
- Petteri Packalen
- Ole Martin Bollandsås
- Erik Næsset
- Ruben Valbuena
- Richard A. Fournier
- Terje Gobakken
- Sylvie Durrieu
Citations in the corpus
- Diversity and equitability ordering profiles applied to study forest structure (2012, methodology): “It may be the case that just practical criteria needs to be taken into account, such as their discriminant ability and capacity for ordering in a logical ranking (Lexerød and Eid, 2006; Staudhammer and LeMay, 2001).”
- Generalizing predictive models of forest inventory attributes using an area-based approach with airborne LiDAR data (2015, methodology): “The Gini coefficient is used to measure tree size heterogeneity within a forest stand (Lexerød & Eid, 2006).”
- Estimating percentile-based diameter distributions in uneven-sized Norway spruce stands using airborne laser scanner data (2007, background): “Lexerød & Eid (2006) calculated GC for 16 simulated diameter distributions and found realistic ranges of different diameter diversity indices for normal, uniform and reverse-J diameter distribution.”
- Relationships between stand growth and structural diversity in spruce-dominated forests in New Brunswick, Canada. (2009, methodology): “Index Equation Description Tree species diversity index Hs ¼ Xm i¼1 pi log pi, where pi is the proportion of basal area for the ith species and m is the number of species Shannon–Wiener index for species (Magurran 2004) Tree size diversity index Hd ¼ Xd i¼1 pi log pi; where pi is the proportion of b”
- Modelling tree size diversity from airborne laser scanning using canopy height models with image texture measures (2013, background): “In particular, tree size diversity (TSD) has been shown to be a useful attribute for characterising vertical structure because it is straightforward to conceptualise, understand and calculate (Lexerod and Eid, 2006).”
- A forest management planning tool to create highly diverse uneven-aged stands (2011, background): “Recent researches (Lexerød and Eid, 2006; O’Hara et al., 2007; Duduman, 2009) have related the particular usefulness of Gini index and its potential in assessing the structural diversity of a forest stand (Lundqvist, 2004).”