Densidad máxima y diagrama de manejo de la densidad para bosques mezclados de Durango, México

Quiñonez-Barraza, Gerónimo; Tamarit-Urias, Juan Carlos; Martínez-Salvador, Martín; García-Cuevas, Xavier; Santos-Posadas, Héctor M. De los; Santiago-García, Wenceslao

doi:10.5154/r.rchscfa.2017.09.056

Cited by 15 publications

(36 citation statements)

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“…The density line at 100% represented the SDImax (1040), the self-thinning line was defined at 70% density (SDI = 728), the lower limit of the constant growth zone was defined at 40% (SDI = 416), and the lower limit of the free growth zone was defined at 20% (SDI = 260). These results coincided with the definition of growth zones associated with a DMD based on Reineke's model [18] and the Langsaeter theory [50,51].…”

supporting

confidence: 85%

“…The disaggregation of mixed-species SDI can be applied with the density proportion of the ith species [15,18]. For example, if Equation (2) is used, the SDI for a specific species (SDI i ) can be obtained with Equation (11).…”

Section: Model Derivationmentioning

confidence: 99%

“…This relationship is known as the self-thinning rule [6]. These two approaches have been the basis for the development of density research in pure and mixed-species forests with different degrees of density and spatial structure [1,[13][14][15][16][17][18]. Relative spacing as the average distance between trees divided by the average height of dominant canopy is also used as a measurement of the size-density relationship [2].…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, the maximum density limit for all species combined, usually in terms of number of trees or basal area, might be more appropriate for mixed-species forests [3]. There is currently a worldwide trend in management of mixed-species stands, and publications on density management have increased considerably [3,8,14,18,[23][24][25]. Maximum stand-density index (SDImax) is an important factor controlling stand dynamics that varies by species and can be used to assess full site occupancy based on species composition [6,26].…”

Section: Introductionmentioning

confidence: 99%

“…In forest-management planning of pure and mixed-species forest stands in Mexico, power-law density-diameter relationships based on the Reineke model [10] and, occasionally, the self-thinning rule based on Yoda's model [11] have been used to characterize density. Most research has been based on the fitting of size-density or density-size relationships and the construction of DMDs to prescribe thinning [15,17,18,31]. Torres-Rojo et al [32] identified specific details regarding the history of forest management in Mexico and the forest-regulation methods used.…”

Section: Introductionmentioning

confidence: 99%

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Can an Exponential Function Be Applied to the Asymptotic Density–Size Relationship? Two New Stand-Density Indices in Mixed-Species Forests

Quiñonez-Barraza

Ramírez-Maldonado

2018

Forests

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This study presents two stand-density indices (SDIs) based on exponential density decline as a function of quadratic mean diameter for all species combined in mixed-species forests with 22 species mix grouped in four species groups. The exponential-based density–diameter relationship, as well the density index corresponding to the slope or instantaneous mortality rate parameters, was compared with those based on power-law density–diameter relationship. A dataset of 202 fully stocked circular plots at maximum density was used for fitting the models, and a dataset of 122 circular plots was used for validation stand density index for all species combined of mixed-species stands. The dataset for validation was independent of dataset for model development. The first stand-density index showed a density management graphic (DMG) with a variable intercept and common instantaneous mortality rate, and the second index showed a DMG with common intercept and variable mortality rate. Additionally, the value of the initial density of the fitted line was more realistic than those generated by the potential model for all species combined. Moreover, the density management diagrams showed a curvilinear trend based on the maximum stand density index in graphical log–log scale. The DMGs could be interpreted as forest scenarios based on variable initial density and common management objectives or the same density and different management objectives for forest-rotation periods involving all species combined in mixed-species stands. The fitting of exponential and potential equations for species or species groups showed that the density–size relationships in mixed-species forests should be modeled for all species combined because the disaggregation of mixture species represented a weak tendency for each species or species group and the resultant fitted equations were unrealistic.

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supporting

confidence: 85%

Section: Model Derivationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Can an Exponential Function Be Applied to the Asymptotic Density–Size Relationship? Two New Stand-Density Indices in Mixed-Species Forests

Quiñonez-Barraza

Ramírez-Maldonado

2018

Forests

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Stochastic frontiers or regression quantiles for estimating the self-thinning surface in higher dimensions?

Tian

Jin

et al. 2020

J. For. Res.

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Stochastic frontier analysis and quantile regression are the two econometric approaches that have been commonly adopted in the determination of the self-thinning boundary line or surface in two and higher dimensions since their introduction to the field some 20 years ago. However, the rational for using one method over the other has, in most cases, not been clearly explained perhaps due to a lack of adequate appreciation of differences between the two approaches for delineating the self-thinning surface. Without an adequate understanding of such differences, the most informative analysis may become a missed opportunity, leading to an inefficient use of data, weak statistical inferences and a failure to gain greater insight into the dynamics of plant populations and forest stands that would otherwise be obtained. Using data from 170 plot measurements in even-aged Larix olgensis (A. Henry) plantations across a wide range of site qualities and with different abundances of woody weeds, i.e. naturally regenerated non-crop species, in northeast China, this study compared the two methods in determining the self-thinning surface across eight sample sizes from 30 to 170 with an even interval of 20 observations and also over a range of quantiles through repeated random sampling and estimation. Across all sample sizes and over the quantile range of 0.90 ≤ τ ≤ 0.99, the normal-half normal stochastic frontier estimation proved to be superior to quantile regression in statistical efficiency. Its parameter estimates had lower degrees of variability and correspondingly narrower confidence intervals. This greater efficiency would naturally be conducive to making statistical inferences. The estimated self-thinning surface using all 170 observations enveloped about 96.5% of the data points, a degree of envelopment equivalent to a regression quantile estimation with a τ of 0.965. The stochastic frontier estimation was also more objective because it did not involve the subjective selection of a particular value of τ for the favoured self-thinning surface from several mutually intersecting surfaces as in quantile regression. However, quantile regression could still provide a valuable complement to stochastic frontier analysis in the estimation of the self-thinning surface as it allows the examination of the impact of variables other than stand density on different quantiles of stand biomass.

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Effects of site productive capacity and stand density management on the maximum density line forEucalyptus pilularis(blackbutt)

West

2021

Australian Forestry

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Densidad máxima y diagrama de manejo de la densidad para bosques mezclados de Durango, México

Cited by 15 publications

References 0 publications

Can an Exponential Function Be Applied to the Asymptotic Density–Size Relationship? Two New Stand-Density Indices in Mixed-Species Forests

Can an Exponential Function Be Applied to the Asymptotic Density–Size Relationship? Two New Stand-Density Indices in Mixed-Species Forests

Stochastic frontiers or regression quantiles for estimating the self-thinning surface in higher dimensions?

Effects of site productive capacity and stand density management on the maximum density line forEucalyptus pilularis(blackbutt)

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