Application of Height- and Diameter-Based Relative Spacing for Estimation of Stand Basal Area

Yang, Sheng-I; Burkhart, Harold E.

doi:10.5849/fs-2016-075

Cited by 6 publications

(7 citation statements)

References 13 publications

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“…The three systems recommend an initial stand density of more than 400 trees ha −1 , between two and four thinnings during the stand life, the first between 10 and 15 years, and the last one between 20 and 40 years of age. They also propose a rotation age between 80 and 100 years with a final density between 100 and 225 trees ha −1 that correspond, respectively, to a mean distance between trees (Mdist) [50] of 10 and 6.7 m.…”

Section: Umbrella Pine Nut Production and Productivity In Mediterranementioning

confidence: 99%

Climate Change Impacts on Pinus pinea L. Silvicultural System for Cone Production and Ways to Contour Those Impacts: A Review Complemented with Data from Permanent Plots

Freire¹,

Rodrigues

Tomé

2019

Forests

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Umbrella pine (Pinus pinea L.) cones take three years to develop. With the increasing frequency of extreme droughts, water available for trees has decreased—climate change is a reality. The cone’s survival in its first two years of development and the average cone weight during its last year of maturation is affected, thus, reducing kernel quantity and quality. Climate change has resulted in forest fires becoming an inescapable issue in forest management planning. A literature review was carried out, focusing, on one hand, the predicted climatic changes for the Mediterranean basin and, on the other hand, the umbrella pine silvicultural mechanisms at tree, stand, and landscape levels that may help to face these constraints. Finally, the Portuguese case was focused, describing the management practices that are being adopted to achieve, even when the period of cone formation and growth include dry years, one to six tons of cones per hectare per year in adult stands.

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Section: Umbrella Pine Nut Production and Productivity In Mediterranementioning

confidence: 99%

Climate Change Impacts on Pinus pinea L. Silvicultural System for Cone Production and Ways to Contour Those Impacts: A Review Complemented with Data from Permanent Plots

Freire¹,

Rodrigues

Tomé

2019

Forests

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“…A curva do índice de espaçamento relativo (Figura 3) segue um padrão de "j" invertido, o que é esperado segundo Yang;Burkhart (2017). Para a teca os valores de S% reduz acentuadamente até a idade de 48 meses de idade, devido ao rápido crescimento da espécie nas idades iniciais.…”

Section: Discussionunclassified

Índice de espaçamento relativo para povoamentos de Tectona grandis L. f. em Mato Grosso

Ziech

Silva

Drescher

et al. 2017

Nativa

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Este estudo teve como objetivo determinar o grau de competição por meio do Índice de Espaçamento Relativo (S%) em dois talhões de teca (Tectona grandis L. f.), com idades de 108 e 144 meses, sem desbastes e densidade inicial com 1.667 árvores por hectare. A base de dados empregada foi obtida mediante inventário florestal e complementada pela análise completa de tronco de 16 árvores dominantes. Os valores do S% foram inferiores a 15% nas idades superiores a 96 meses, indicando forte competição entre as árvores. Verifica-se que o S% reduz acentuadamente até a idade de 48 meses, devido ao rápido crescimento da teca nas idades iniciais. Os valores do S% associados ao crescimento diamétrico demonstraram que o início da competição em plantios de teca na região em estudo ocorre por volta dos 60 meses, indicando a necessidade de desbaste nessa idade. A técnica de S% pode ser empregada como indicativo do momento de aplicações de desbastes em povoamentos de teca.

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“…The commonly used mathematical model for predicting forest fires is Logistic Regression (LR) [4]. This model can better predict the spatial size of forest fires [5]. Therefore, people often use the gompit regression model with the LR model.…”

Section: Causes Of Forest Firesmentioning

confidence: 99%

Explore the application of remote sensing technology in forest fire detection

Wang

2024

ACE

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Forest is one of the most important resources on the planet and an important foundation for ensuring the sustainable development of human beings. Forest fires are frequent, spreading fast, in wide areas and difficult to control, and difficult to predict and prevent. Monitoring fires in a timely and accurate is critical to protecting the environment and the safety of personal property. This article mainly studies the application and differences between remote sensing technology and RS GIS technology in forest fire monitoring and post-disaster monitoring and treatment. Studies have found that combustion materials, low temperatures in weather, high temperatures, and human activities are the main causes of forest fires. RS technology has the advantages of fast speed, rich information channels, fast update speed, and convenient operation convenience. GIS can operate and comprehensive analysis of multi-factor data, which facilitates the required information in a variety of forms such as graphics, images, numbers, and other forms to meet the needs of each application field and research work. In forest fire rescue, combining RS and GIS technology can improve the efficiency and accuracy of obtaining information about the fire on-site, which is conducive to improving the efficiency of rescue. Research on this article hopes to guide the disaster prevention and mitigation strategy of relevant departments.

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Application of Height- and Diameter-Based Relative Spacing for Estimation of Stand Basal Area

Cited by 6 publications

References 13 publications

Climate Change Impacts on Pinus pinea L. Silvicultural System for Cone Production and Ways to Contour Those Impacts: A Review Complemented with Data from Permanent Plots

Climate Change Impacts on Pinus pinea L. Silvicultural System for Cone Production and Ways to Contour Those Impacts: A Review Complemented with Data from Permanent Plots

Índice de espaçamento relativo para povoamentos de Tectona grandis L. f. em Mato Grosso

Explore the application of remote sensing technology in forest fire detection

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