Growth Modeling in Complex Forest Systems: CORKFITS a Tree Spatial Growth Model for Cork Oak Woodlands

Ribeiro, N. A.; Surový, Peter

doi:10.15684/formath.10.263

Cited by 7 publications

(10 citation statements)

References 13 publications

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“…This may reflect intrinsic characteristics of each plant, such as genetics, initial acorn reserves, root development, etc., as well as nursery conditions or site-specificity: initial growth may be subject to several conditions other than water availability [34][35][36][37]. High variability in plant growth was also observed in several studies [38,39]. Regarding height, the non-significant response to irrigation treatments can be associated with the reduced apical dominance observed in the plants at the study site.…”

Section: Plants Structural-functional Variabilitymentioning

confidence: 65%

Irrigation of Young Cork Oaks under Field Conditions—Testing the Best Water Volume

Camilo-Alves

Dinis

Vaz

et al. 2020

Forests

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This study is the beginning of the first long-term study on cork oak irrigation under field conditions, with a structural-functional approach. Cork oaks are currently facing disturbances affecting cork quality and quantity, jeopardizing the future of the economic sector. There is a need for new production techniques that maximize cork oak growth and vitality. In this study, irrigation was implemented in a new intensive cork oak plantations to test the best irrigation volume. The long-term goal is to improve tree growth with minimum water requirements. A 6 ha intensive plantation was installed in Coruche, Portugal. The experimental plot consisted of a subsurface drip fertigation system, buried 40 cm deep; with five independent irrigation treatments. It was tested four irrigation volumes during the dry period—21 weeks in the summer of 2016—ranging from 1.88 mm to 5.62 mm a week. Information on meteorological conditions, soil moisture profile and leaf stomatal conductance were gathered periodically and dendrometric measurements were performed before and after the treatments. Cork oaks’ structural and functional parameters were associated with irrigation volume Response to irrigation showed an inflection point in treatment 2, corresponding to a water supply of 3.12 mm per week: below the inflection point, stomatal conductance was reduced by 15% and relative diameter growth at the base was reduced by 10%. Stomatal conductance also showed a positive relationship with soil moisture below the irrigation tubes and with plants’ stem diameter. In conclusion, irrigation supply during the period of water stress improved function and structure of cork oaks seedlings under field conditions. These results suggest that irrigation can be a viable alternative to improve cork oak growth in afforestation and reforestation.

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Section: Plants Structural-functional Variabilitymentioning

confidence: 65%

Irrigation of Young Cork Oaks under Field Conditions—Testing the Best Water Volume

Camilo-Alves

Dinis

Vaz

et al. 2020

Forests

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“…(2)-( 3)) pass to the boundary layer of the atmospheric model through the turbulence scheme. The chosen semi-empirical approach to fire propagation assumes that the fire spread rate is given by the modified Rothermel (1972) scheme (Mandel et al, 2011).…”

Section: Spread Fire Modelmentioning

confidence: 99%

“…Herein, the authors demonstrate the applicability of Rothermel's (1972) surface fire formulation to the two systems, using the Eulerian moving interface method based on the level set method (LSM) for fire line propagation, and in this paper, the authors introduce BRAMS-SFIRE (Menezes, 2015), which consists of a mesoscale atmospheric model -the Brazilian development on the Regional Atmospheric Modelling System (BRAMS) (Freitas et al, 2009(Freitas et al, , 2017 -coupled with the Spread Fire model (SFIRE) (Mandel et al, 2009(Mandel et al, , 2011. The resulting coupled model simultaneously combines weather simulation with fire spread in forestry fuel.…”

Section: Introdutionmentioning

confidence: 99%

“…Forest fire behavior models have traditionally been used to predict fire spread and heat release for a prescribed set of fuels, slopes, and wind conditions and are designed primarily to assess surface fire risk behavior. Most of these models are not capable of evaluating the three-dimensional complex behavior of fire risk; they have a complete treatment of the chemical and energy processes of combustion in wildland fuels, but the fire spread progression is restricted to small distances in a two-dimensional plane (Grishin, 1997;Larini et al, 1998;Porterie et al, 2000;Movan and Dupuy, 2001;Rehm et al, 2003), and some systems used operationally are based on the empirical correlations developed by Byram (1959), Fosberg and Deeming (1971), Rothermel (1972Rothermel ( , 1991, Van Wagner (1973) and Albini (1976). Some operational fire spread models, like FARSITE (Finney, 1998) and BEHAVEPLUS (Andrews and Chase, 1989), are tools to estimate fire risk, fuel management treatments, and fuel-break networks and to prioritize firefighting strategies (Butler and Cohen, 1998) in a wide range of forest ecosystems.…”

Section: Introdutionmentioning

confidence: 99%

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Aplicação dos Modelos de Interação Atmosférica e de Incêndio Florestal BRAMS-SFIRE no sul de Portugal

Menezes

Freitas

Lima

et al. 2021

Rev. bras. meteorol.

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Resumo O BRAMS-SFIRE é um novo sistema de modelação atmosférica com componente de propagação de fogo desenvolvido no Centro de Previsão de Tempo e Estudos Climáticos (CPTEC / INPE) no Brasil em colaboração com o Instituto Mediterrâneo de Agricultura, Ambiente e Desenvolvimento (MED) em Portugal. O presente artigo descreve a incorporação do modelo de propagação de fogo no Brazilian developments on the Regional Atmospheric Modeling System (BRAMS). Os principais objetivos foram desenvolver o acoplamento entre um modelo atmosférico e um modelo de propagação de fogo que simulasse os efeitos da circulação atmosférica sobre um incêndio florestal e vice-versa. Esta ferramenta tem como objetivo ajudar a entender as relações entre o fogo e a paisagem nas florestas de carvalho mediterrâneas, e avaliar os resultados das simulações deste acoplamento na escala fina no ecossistema do Montado na região do Alentejo. Para isso, três grades de alta resolução espacial ao longo de três incêndios foram configuradas com dados de caracterização de superfície realistas e propriedades dos modelos de combustível. Uma grade foi colocada sobre fogo em uma planície e as outras nas montanhas, para avaliar os diferentes tipos de propagação do fogo. Este trabalho demonstra que este sistema simula de forma consistente a interação entre o fogo, os modelos de combustível e a atmosfera, mostrando que o fogo altera a circulação local ao nível da superfície, intensifica as correntes de vento ascendentes e descendentes, alterando a estrutura da atmosfera.

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“…In the matter of cork oak stands, there are three available models that can be used for this task: the SUBER model (Tomé, 2004;Paulo, 2011;Tomé & Faias, 2014) and the CORKFITS model (Ribeiro & Surový, 2011) for Portuguese cork oak stands, and the ALCORNOQUE model (Sánchez-González et al, 2007;Tomé & Faias, 2014) for Spanish cork oak stands. The SUBER model has been selected because:…”

Section: Introductionmentioning

confidence: 99%

Using the SUBER model for assessing the impact of cork debarking rotation on equivalent annual annuity in Portuguese stands

Paulo

Tomé

2017

For. syst.

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Aim of study: Use the SUBER model to evaluate the influence of the cork debarking rotation period (CDR) on equivalent annual annuity (EAA) value.Area of study: Nine simulated stands, varying in site index (14.4, 15.6, 17.1) and cork quality characteristics (high, medium, low). Material and methods:EAA values were computed considering CDR periods varying from 9 to 14 years, two contrasting structures of cork prices (high and low cork price scenarios), and three discount rate values (0.5%, 2% and 5%).Main results: For discount rates of 0.5% and 2% the impact of different CDR on the EAA is similar. In stands characterized by high to average site index values or high to medium cork quality characteristics, CDR of 9 and 11 years are associated with similar values of EAA. The variation of the CDR in stands characterized by low site index values and/or low cork quality characteristics did not have a relevant effect on the variation of EAA. For the simulations carried out with a discount rate of 5% the EAA decreases with the increase of CDR, indicating that the minimum legal value of 9 years for CDR should be applied.Research highlights: In stands characterized by high to average site index values or high to medium cork quality characteristics, a delay in the debarking may result in a significant increase of cork thickness and, as a result, of cork price. Detailed knowledge of cork and stand characteristics and updated information on cork prices structure and values are essential for the best usage of management tools such as the SUBER model, which can contribute to the decision-making process concerning the debarking operation.Keywords: adaptive forest management; cork production; cork price; cork quality; growth and yield model; site index.Correspondence should be addressed to Joana Amaral Paulo: joanaap@isa.ulisboa.pt

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Growth Modeling in Complex Forest Systems: CORKFITS a Tree Spatial Growth Model for Cork Oak Woodlands

Cited by 7 publications

References 13 publications

Irrigation of Young Cork Oaks under Field Conditions—Testing the Best Water Volume

Irrigation of Young Cork Oaks under Field Conditions—Testing the Best Water Volume

Aplicação dos Modelos de Interação Atmosférica e de Incêndio Florestal BRAMS-SFIRE no sul de Portugal

Using the SUBER model for assessing the impact of cork debarking rotation on equivalent annual annuity in Portuguese stands

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