Modeling dominant height growth of maritime pine in Portugal using GADA methodology with parameters depending on soil and climate variables

Nunes, Luís; Patrício, Maria do Sameiro; Tomé, José; Tomé, Margarida

doi:10.1007/s13595-011-0036-8

Cited by 32 publications

(23 citation statements)

References 17 publications

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“…Additional prescriptions were included to simulate conversion of pine stands to chestnut stands. Growth was projected using PINASTER in the case of even-aged maritime pine stands [66,67], PBirrol in the case of uneven-aged maritime pine stands [68], Globulus 3.0 in the case of even-aged eucalypt stands [69], and GYMMA in the case of uneven-aged eucalypt stands [70]. These models were called by a simulation module, StandSIM/MD [71].…”

Section: Model Buildingmentioning

confidence: 99%

Addressing Wildfire Risk in Forest Management Planning with Multiple Criteria Decision Making Methods

et al. 2017

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Abstract:Wildfires impact the outcomes of forest management plans. Addressing that impact is thus critical for effective forest ecosystem management planning. This paper presents research on the use of multiple criteria decision making (MCDM) methods that integrate wildfire risk in planning contexts characterized by multiple objectives. Specifically, an a posteriori preference modeling approach is developed that adds wildfire criteria to a set of objectives representing ecosystem services supply values. Wildfire risk criteria are derived from stand-level wildfire occurrence and damage models as well as from the characteristics of neighboring stands that may impact wildfire probability and spread. A forested landscape classified into 1976 stands is used for testing purposes. The management planning criteria include the carbon stock, harvest volumes for three forest species, the volume of the ending inventory, and resistance to wildfire risk indicators. Results show the potential of multiple criteria decision making methods to provide information about trade-offs between wildfire risk and the supply of provisioning (timber) as well as regulatory (carbon) ecosystem services. This information may contribute to the effectiveness of forest ecosystem management planning.

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Section: Model Buildingmentioning

confidence: 99%

Addressing Wildfire Risk in Forest Management Planning with Multiple Criteria Decision Making Methods

et al. 2017

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“…The Richards function has been widely utilized in forest growth modelling TURNBULL, 1973;AMARO et al, 1998;NUNES et al, 2011, RETSLAFF et al, 2015 as has the Lundqvist-Korf and McDill-Amateis functions (TOMÉ, 1988;CIESZEWSKI;BAILEY, 2000;FONTES et al, 2003, NUNES et al, 2011.…”

Section: Figurementioning

confidence: 99%

“…When only one parameter of the base model is related to a theoretical site quality measure, GADA is equivalent to ADA (NUNES et al, 2011).…”

Section: Figurementioning

confidence: 99%

Site Quality Curves for African Mahogany Plantations in Brazil

Ribeiro

Filho

Tomé

et al. 2016

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Site quality estimation is an important tool in forest management since it is useful for modeling growth and yield for even-aged stands. Data from African mahogany (Khaya ivorensis A. Chev.) Brazilian plantations were used to develop a model to predict dominant height growth, comparing dynamic base-age invariant site index models with the guide curve method (static models). For the evaluation of the candidate models qualitative and quantitative criteria were used. We also verified the stability of the candidate models, preferring a model providing fewer site class changes when predicting site index from different ages. The Lundqvist-Korf function fitted with the guide curve method proved to be effective and accurate for site classification and dominant height predictions of African mahogany stands. The range of observed site index, at a reference age of 15, was between 17 and 33 meters. CURVAS DE CLASSIFICAÇÃO DE SÍTIO PARA PLANTIOS DE MOGNO AFRICANO NO BRASIL RESUMO:A estimativa da qualidade de sítio é uma importante ferramenta para o manejo florestal, uma vez que auxilia na modelagem do crescimento e produção de florestas equiâneas. Dados de plantios brasileiros de mogno africano (Khaya ivorensis A. Chev.) foram utilizados para avaliar modelos de crescimento em altura dominante comparando modelos dinâmicos invariantes com a idade padrão e modelos estáticos (método da curva guia). Para a avaliação dos modelos foram utilizados critérios quantitativos e qualitativos. Também foi verificada a estabilidade dos modelos candidatos, sendo preferido o modelo que resultou em menos mudanças de classes na predição da mesma parcela em diferentes idades. O modelo de Lundqvist-Korf com o método da curva guia se mostrou eficiente, sendo recomendado para a classificação de sítios e para a predição de altura dominante em povoamentos de mogno africano. A amplitude dos índices de sítio, na idade de referência de 15 anos, foi de 17 a 33 metros.

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“…However, site index does not represent the true site quality as it does not fully integrate the site factors. Therefore, more recently prediction models for site index evaluation using regression techniques have included environmental factors such as climatic, topographic or soil related attributes to improve forest productivity assessment (Fontes et al, 2004;Aersten et al, 2010;Salas, 2010;Nunes et al, 2011;Dãnescu et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…It is a Mediterranean species that thrives well until 700-800 m preferably in Atlantic influence facing slopes (Alves et al, 2012). In Portugal, several classical site index models are available to support this species management (Páscoa, 1990;Nunes et al, 2011;Alegria and Tomé, 2013). Regarding Portuguese forest management plans mapping management compartments for forest production regulation is necessary.…”

Section: Introductionmentioning

confidence: 99%

Developing an Index for Forest Productivity Mapping - A Case Study for Maritime Pine Production Regulation in Portugal

et al. 2018

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-Productivity is very dependent on the environmental and biotic factors present at the site where the forest species of interest is present. Forest site productivity is usually assessed using empirical models applied to inventory data providing discrete predictions. While the use of GIS-based models enables building a site productivity distribution map. Therefore, the aim of this study was to derive a productivity index using multivariate statistics and coupled GIS-geostatistics to obtain a forest productivity map. To that end, a study area vastly covered by naturally regenerated forests of maritime pine in central Portugal was used. First, a productivity index (PI) was built based on Factorial Correspondence Analysis (FCA) by incorporating a classical site index for the species and region (Sh25 -height index model) and GIS-derived environmental variables (slope and aspect). After, the PI map was obtained by multi-Gaussian kriging and used as a GIS layer to evaluate maritime pine areas by productivity class (e.g., low, intermediate and high). In the end, the area control method was applied to assess the size and the number of compartments to establish by productivity class. The management compartments of equal productivity were digitized as GIS layer and organized in a temporal progression of stands' age regularly available for cutting each year during a 50-year schedule. The methodological approach developed in this study proved that can be used to build forest productivity maps which are crucial tools to support forest production regulation.Keywords: Site Productivity Classes; Area Control Method; Forest Management Compartments. DESENVOLVIMENTO DE UM ÍNDICE PARA O MAPEAMENTO DA PRODUTIVIDADE FLORESTAL -UM ESTUDO DE CASO PARA A REGULAÇÃO DA PRODUÇÃO DO PINHEIRO BRAVORESUMO -A produtividade florestal depende dos fatores ambientais e bióticos da estação onde a espécie florestal se encontra. A produtividade da estação florestal é geralmente avaliada com modelos empíricos aplicados a dados de inventário fornecendo previsões discretas. Enquanto o uso de modelos num SIG permite a construção de mapas de distribuição de produtividade da estação. Assim, o objetivo deste estudo foi desenvolver um índice de produtividade utilizando estatística multivariada e geoestatística acopladas ao SIG para obter um mapa de produtividade florestal. Para o efeito, selecionou-se uma área de estudo com floresta de regeneração natural de pinheiro bravo no centro de Portugal. Primeiramente, o índice de produtividade (PI) foi construído usando a Análise Fatorial das Correspondências (FCA) com um índice de qualidade de estação para a espécie e região (Sh25-modelo de índice de altura) e variáveis ambientais (declive e exposição). Depois, o mapa PI foi obtido por Krigagem multi-Gaussiana e usado como camada SIG para avaliar as áreas da espécie por classe de produtividade (p.e., baixa, intermedia e alta). No final, o método de controle da área foi aplicado para determinar o tamanho e o número de parcelas a serem estabelecidas por class...

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Modeling dominant height growth of maritime pine in Portugal using GADA methodology with parameters depending on soil and climate variables

Cited by 32 publications

References 17 publications

Addressing Wildfire Risk in Forest Management Planning with Multiple Criteria Decision Making Methods

Addressing Wildfire Risk in Forest Management Planning with Multiple Criteria Decision Making Methods

Site Quality Curves for African Mahogany Plantations in Brazil

Developing an Index for Forest Productivity Mapping - A Case Study for Maritime Pine Production Regulation in Portugal

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