2003
DOI: 10.1016/s0378-1127(03)00102-6
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An analysis of spatial forest structure using neighbourhood-based variables

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Cited by 195 publications
(152 citation statements)
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“…K(d) was calculated from the equation: (1) where λ is the density of stems per unit area, d ij the distance from tree i to tree j, and n the number of trees in a circular area of radius d. The K value is compared to the expected value of a Poisson distribution obtained through 99 simulations of the Poisson process [25]. Discarding the 2.5% higher and lower values of the 99 simulations we can establish also a 95% confidence bounds.…”
Section: Stand Structure Characterisationmentioning
confidence: 99%
See 1 more Smart Citation
“…K(d) was calculated from the equation: (1) where λ is the density of stems per unit area, d ij the distance from tree i to tree j, and n the number of trees in a circular area of radius d. The K value is compared to the expected value of a Poisson distribution obtained through 99 simulations of the Poisson process [25]. Discarding the 2.5% higher and lower values of the 99 simulations we can establish also a 95% confidence bounds.…”
Section: Stand Structure Characterisationmentioning
confidence: 99%
“…The spatial pattern was also analysed using Gadow's uniform angle index [12]: (3) where n is the number of neighbours considered (in this case n = 3), w ij is the angle formed by the two lines issued from a reference tree and going through i and j neighbours and w is the ratio of 360º to n. If stems were very uniformly distributed, w ij should be more wide than under clumped distribution, so I Gi = 1 indicates that the trees in the neighbourhood of the reference tree are clumped, I Gi = 0 indicates a regular distribution of trees [1].…”
Section: Stand Structure Characterisationmentioning
confidence: 99%
“…The index values of trees in the strip along the crest line of a ridge were calculated by means of the following formulas (Eqs. 1 and 2) Aguirre et al 2003;). The mean value of all trees was then calculated to find the total diversity value of each landscape.…”
Section: Calculation Of Form Diversity and Height Dominance Indicesmentioning
confidence: 98%
“…Many indices have been developed to assess structural diversity (Shannon and Weaver 1949;Simpson 1949;Clark and Evans 1954;Holdridge 1967;Gadow et al 1998;Aguirre et al 2003;Ozdemir and Karnieli 2011). However, a neighbour-based index will more accurately reflect the landscape effect of neighbouring trees within the immediate vicinity of a reference point (tree).…”
Section: Calculation Of Form Diversity and Height Dominance Indicesmentioning
confidence: 99%
“…In addition, sampling design allows integration of this dataset with other ones available from previous studies (e.g. Aguirre et al 2003;Hui and Pommerening 2014;LeMay et al 2009), useful for comparative, large-scale studies. The data allowed a traditional set of forest parameters to be extracted like stand variables (stocking rate, basal area, species composition, dominant height, mean diameter).…”
Section: Reuse Potential and Limitsmentioning
confidence: 99%