Nonlinear parsimonious forest modeling assuming normal distribution of residuals

Strîmbu, Bogdan M.; Amarioarei, Alexandru; Păun, Mihaela

doi:10.1007/s10342-021-01355-2

Cited by 2 publications

(2 citation statements)

References 48 publications

(65 reference statements)

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“…The height growth of dominant trees is independent of stand density [15]. Recent research has modeled the height of dominant and codominant spruce in Romania [31]. The accuracy of the obtained parsimonious models justifies their use in forestry applications.…”

Section: Discussionmentioning

confidence: 99%

Estimation of the Productivity Potential of Mountain Sites (Mixed Beech-Coniferous Stands) in the Romanian Carpathians

Cicșa

Tudoran

Boroeanu

et al. 2021

Forests

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Research Highlights: This study highlighted the possibility of estimating the productivity of mountain sites (mixed beech-coniferous stands) based on tree and stand dendrometric characteristics. Background and Objectives: The mountainous region of Romania offers suitable conditions for the formation and development of mixed beech-coniferous stands with complex, multi-aged structures. Based on the dendrometric characteristics of the trees, established indicators were used to estimate the productivity of the sites, with other quantitative indicators being proposed to better capture the particularities of mixed multi-aged stands. Materials and Methods: To evaluate the productive potential of the sites, a combined in situ mapping method was applied. Laboratory analyses of soils, and information provided indirectly by indicator plant and tree overstories, led to the characterization of soil types and the identification of forest sites for study. The productivity of the sites was estimated using quantitative indicators established based on the dendrometric characteristics of the trees and stands. Results: Indicators based on stand production and growth are relevant for multi-aged stands of mixed beech-coniferous formation. The ratio between tree volume and the basal area is the result of basal area and height increments, both of which are variable and depend on the quality of the site. Thus, a form height stand can be used as an indicator to characterize the productivity of the site in mixed multi-aged stands. Conclusions: Knowing the ecological specificity of sites in the formation of mixed beech-coniferous forests is a first condition necessary to achieving stable stands that are able to continuously fulfill multiple functions. The favorability of forest sites for a certain assortment of species is a fundamental character of the sites, which is essential for the management of these forest formations.

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Section: Discussionmentioning

confidence: 99%

Estimation of the Productivity Potential of Mountain Sites (Mixed Beech-Coniferous Stands) in the Romanian Carpathians

Cicșa

Tudoran

Boroeanu

et al. 2021

Forests

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“…However, this information, in its technical form, only provides broad forest information and features. The formation of new models for making management decisions has been described in various studies [2][3][4][5]. When a person completes a forest inventory task, the subjective aspect must be considered when evaluating taxation features.…”

Section: Introductionmentioning

confidence: 99%

Visual Digital Forest Model Based on a Remote Sensing Data and Forest Inventory Data

et al. 2021

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This article discusses the process of creating a digital forest model based on remote sensing data, three-dimensional modeling, and forest inventory data. Remote sensing data of the Earth provide a fundamental tool for integrating subsequent objects into a digital forest model, enabling the creation of an accurate digital model of a selected forest quarter by using forest inventory data in educational and experimental forestry, and providing a valuable and extensive database of forest characteristics. The formalization and compilation of technologies for connecting forest inventory databases and remote sensing data with the construction of three-dimensional tree models for a dynamic display of changes in forests provide an additional source of data for obtaining new knowledge. The quality of forest resource management can be improved by obtaining the most accurate details of the current state of forests. Using machine learning and regression analysis methods as part of a digital model, it is possible to visually assess the course of planting growth, changes in species composition, and other morphological characteristics of forests. The goal of digital, interactive forest modeling is to create virtual simulations of the future status of forests using a combination of predictive forest inventory models and machine learning technology. The research findings provide a basic idea and technique for developing local digital forest models based on remote sensing and data integration technologies.

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Nonlinear parsimonious forest modeling assuming normal distribution of residuals

Cited by 2 publications

References 48 publications

Estimation of the Productivity Potential of Mountain Sites (Mixed Beech-Coniferous Stands) in the Romanian Carpathians

Estimation of the Productivity Potential of Mountain Sites (Mixed Beech-Coniferous Stands) in the Romanian Carpathians

Visual Digital Forest Model Based on a Remote Sensing Data and Forest Inventory Data

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