Construcción de una guía de densidad para Pinus cooperi var. ornelasi con base en la clase de copa en Durango, México

Linares, Marco; Álvarez-Zagoya, Rebeca

doi:10.21829/myb.1995.121396

Cited by 8 publications

(6 citation statements)

References 4 publications

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“…Stand density hardly surpasses 1000 trees per hectare with 10 cm in diameter at breast height (800 pines and 200 oaks). These forest dimensions point at under-stocked, open stands [7,54], where sun light may be available for pines to successfully regenerate in forest openings left in the forest by the small oak density. Other factors, such as soil fertility and soil water content, could be more important in promoting the regeneration of pine trees of this community.…”

Section: The Stand-class Growth and Yield Modelmentioning

confidence: 99%

A Stand-Class Growth and Yield Model for Mexico’s Northern Temperate, Mixed and Multiaged Forests

Návar

2014

Forests

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Abstract:The aim of this research was to develop a stand-class growth and yield model based on the diameter growth dynamics of Pinus spp. and Quercus spp. of Mexico's mixed temperate forests. Using a total of 2663 temporary, circular-sampling plots of 1000 m 2 each, nine Weibull distribution techniques of parameter estimation were fitted to the diameter structures of pines and oaks. Statistical equations using stand attributes and the first three moments of the diameter distribution predicted and recovered the Weibull parameters. Using nearly 1200 and 100 harvested trees for pines and oaks, respectively, I developed the total height versus diameter at breast height relationship by fitting three non-linear functions. The Newnham model predicted stem taper and numerical integration was done to estimate merchantable timber volume for all trees in the stand for each diameter class. The independence of the diameter structures of pines and oaks was tested by regressing the Weibull parameters and projecting diameter structures. The model predicts diameter distributions transition from exponential (J inverse), logarithmic to well-balanced distributions with increasing mean stand diameter at breast height. Pine diameter distributions transition faster and the model predicts independent growth rates between pines and oaks. The stand-class growth and yield model must be completed with the diameter-age relationship for oaks in order to carry a full optimization procedure to find stand density and genera composition to maximize forest growth.

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Section: The Stand-class Growth and Yield Modelmentioning

confidence: 99%

A Stand-Class Growth and Yield Model for Mexico’s Northern Temperate, Mixed and Multiaged Forests

Návar

2014

Forests

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“…A proper morphometric characterization of OGT assists silvicultural interventions to maintain the optimal density of sites for optimal yield [12]. Additionally, we can assess the potential dimensions of trees to estimate the necessary growth space for the species in a given site [10].…”

Section: Introductionmentioning

confidence: 99%

Machine Learning: Crown Diameter Predictive Modeling for Open-Grown Trees in the Cerrado Biome, Brazil

Bueno

Costa

Finger

et al. 2022

Forests

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The Brazilian Cerrado biome is a hotspot due to its ecological importance and high diversity of fauna and flora. We aimed to develop statistical models to predict the crown diameter of open-growing trees using several forest attributes. Potential crown diameter trends in the measured trees were determined by quantile regression. Crown diameter models were developed by regression analyses, artificial neural networks, support vector machine, and random forest techniques. We evaluated 200 trees characterized into 60 species belonging to 30 botanical families. Our equation for potential crown diameter predicts the derived basal area, number of trees, and the necessary growth space of crown diameter at breast height. Artificial neural networks (with the following validation statistics: R2 = 0.90, RMSE = 1.21, MAE = 0.93, and MAPE = 16.25) predicted crown diameter more accurately than the other evaluated techniques. Modeling crown diameter via machine learning represents an important step toward the assessment of crown dynamics by species and can support the decision making of silvicultural practices and other related activities in several rural properties within the Cerrado biome.

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“…Jack and Long (1996) and Newton (1997) gave useful reviews of the history and features of DMD. Such diagrams exist for a number of species in North America (e.g., Drew and Flewelling, 1979;McCarter and Long, 1986;Williams, 1994;Spathelf and Schneider, 2000;Long and Shaw, 2005;Sharma and Zhang, 2007;Shaw and Long, 2007), Central and South America (Márquez-Linares and Alvarez-Zagoya, 1995;Chauchard et al, 2001), Asia (Ando, 1962(Ando, , 1968Tadaki, 1963;Kumar et al, 1995), and Africa (Onyekwelu et al, 2003;Biber et al, 2004). To date DMD exist for only a few European species (Sales Luis and Fonseca, 2004;Anta and González, 2005), and have not yet been used for describing structural characteristics of protection forests.…”

Section: Introductionmentioning

confidence: 99%

A density management diagram for Scots pine (Pinus sylvestris L.): A tool for assessing the forest's protective effect

Vacchiano

Motta

Long

et al. 2008

Forest Ecology and Management

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Density management diagrams (DMD) are graphical tools used in the design of silvicultural regimes in even-aged forests. They depict the relationship between stand density, average tree size, stand yield and dominant height, based upon relevant ecological and allometric relationships such as the self-thinning rule, the yield-density effect, and site index curves. DMD effectively summarize stand structural descriptors, and are therefore helpful in determining stand characteristics needed to achieve a range of management goals.We constructed a DMD for Scots pine (Pinus sylvestris L.) forests in the western Italian Alps. We used 210 sample plots from a region-wide forest inventory to determine the maximum density line and volume and top height isolines. Site index curves were used to assess the time taken by stands to progress along their development trajectories.The protection provided by Scots pine stands is most effective against rockfall, due to the frequent occurrence of such forests in active source or transition areas. We used the DMD to identify combinations of size and density representing optimal and sub-optimal protection from rockfall. An actual pine stand was used as a case study to illustrate how the diagram can be used to assess current functionality of the forest, forecast its likely development and compare alternative management strategies. #

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Construcción de una guía de densidad para Pinus cooperi var. ornelasi con base en la clase de copa en Durango, México

Cited by 8 publications

References 4 publications

A Stand-Class Growth and Yield Model for Mexico’s Northern Temperate, Mixed and Multiaged Forests

A Stand-Class Growth and Yield Model for Mexico’s Northern Temperate, Mixed and Multiaged Forests

Machine Learning: Crown Diameter Predictive Modeling for Open-Grown Trees in the Cerrado Biome, Brazil

A density management diagram for Scots pine (Pinus sylvestris L.): A tool for assessing the forest's protective effect

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