Dominant height growth and dynamic site index models for Crimean pine in the Kastamonu–Taşköprü region of Turkey

Seki, Mehmet; Sakıcı, Oytun Emre

doi:10.1139/cjfr-2017-0131

Cited by 15 publications

(9 citation statements)

References 26 publications

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“…It is also satisfied that the increments are larger as the value of SI increases. In agreement with Seki and Sakici (2017) and Socha et al (2020), it is ratified that the developed dynamic equation fully complies with the biological growth laws.…”

Section: Resultados Y Discusiónsupporting

confidence: 62%

“…The fact that these relevant assumptions are met is consistent with Ercanli, Kahriman, and Yavuz (2014) and Seki and Sakici (2017), that dynamic equations derived using GADA have greater flexibility to model a wide variety of growth trends. These equations meet all the desirable attributes that translate into consistency Castillo (2001).…”

Section: Resultados Y Discusiónmentioning

confidence: 80%

“…Therefore, there is a need to update these models using more flexible modeling approaches and techniques. Thereby, according to Seki and Sakici (2017) and Özçelik, Cao, Gómez-García, Crecente-Campo, and Eler (2019), greater reliability and accuracy in the estimates of dominant height growth and SI will be improved. For this purpose, the generalized algebraic difference approach (GADA) is available.…”

Section: Introductionmentioning

confidence: 99%

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Nueva ecuación dinámica de altura dominante e índice de sitio para Pinus chiapensis (Martínez) Andresen en Puebla y Veracruz, México

Tamarit-Urias

Rodríguez-Acosta

Quiñonez-Barraza

et al. 2022

Rev Cha Se Cie For y del Amb

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Introduction: Pinus chiapensis (Martínez) Andresen lacks in many areas of site index (SI) models to classify timber productivity. Objective: To develop a dynamic SI equation, using the generalized algebraic difference approach (GADA) to describe the dominant height growth pattern and classify the productivity of natural stands of P. chiapensis in Puebla and Veracruz, Mexico. Materials and methods: Four theoretical growth models were used to derive six equations in GADA, fitted to dominant height-age observations from stem analyses of 31 trees. Fitting was performed using the Dummy variable method, which is invariant to the base age; autocorrelation and heteroscedasticity were corrected. Results and discussion: Quantitative evaluation, graphical analysis of residuals and growth trends of equations allowed the selection of an equation derived from the Levakovic II model with higher predictive capacity. With this equation and a base age of 50 years, polymorphic SI curves with variable asymptotes were constructed to classify productivity into low, medium and high, corresponding to SI of 25, 32 and 39 m, respectively. The maximum mean annual increase for the SI of 32 m was 1.07 m∙yr-1 and occurred at 11.08 years. The equation exhibited better performance relative to a previously reported polymorphic equation. Conclusions: It is recommended to use the developed equation to predict dominant height growth and SI of P. chiapensis stands in Puebla and Veracruz, Mexico.

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Section: Resultados Y Discusiónsupporting

confidence: 62%

Section: Resultados Y Discusiónmentioning

confidence: 80%

Section: Introductionmentioning

confidence: 99%

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Nueva ecuación dinámica de altura dominante e índice de sitio para Pinus chiapensis (Martínez) Andresen en Puebla y Veracruz, México

Tamarit-Urias

Rodríguez-Acosta

Quiñonez-Barraza

et al. 2022

Rev Cha Se Cie For y del Amb

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“…GADA formulation of the model M3 was developed by Cieszewski [74] based on the Bertalanffy-Richards function. Models M4 [60] and model M5 are the growth models that have frequently been tested in many studies concerning site index modeling [60,61,75]. In the case of the model, M5 GADA is equivalent to ADA [76].…”

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confidence: 99%

Site Index Models for Main Forest-Forming Tree Species in Poland

Socha

Grabska

Orzeł

2020

Forests

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Site index is the most commonly used measure of potential site productivity, providing key information for forest management practices. It is determined using species-specific site index models that take into account climatic and edaphic factors. To reliably estimate the site index, appropriate models are necessary. In Poland, however, outdated guidelines, i.e., yield tables, are used to determine site classes, which result in the inappropriate estimation of height growth and increments of stands. Therefore, the aim of this study is to develop new site index models for the main forest forming tree species in Poland, in a total of eight species. For the development of site index models, we used growth trajectories of 3052 sample trees, representing the whole range of geographic locations and site conditions. Five dynamic models were selected and parametrized to develop the site index models. The models were evaluated using quantitative measures of goodness of fit (MAE, R2, and AIC), the analysis of residuals, and the assessment of how the model reflects the biological phenomena of height growth. Results showed that depending on the species, different models have the highest predictive ability. There are significant differences in results using traditional yield tables and developed site index models. For most of the species, the largest differences characterized either the youngest or the oldest age classes. These differences can be attributed to the changes in growth conditions from the time when yield tables were developed. Growth dynamics of forest stands may also show spatial variability, thus, in future research additional site variables and, regional variability should be taken into account.In recent years, forest ecosystems in Europe have experienced changes due to both the mean climate variables and the higher risk of extreme weather events [14]. Therefore, for effective long-term planning, forest management has to take into account the impact of climate change on stand growth and site productivity. In general, recent climate changes seem to have had a positive impact on forest productivity, although, this may vary at regional scales [15]. In northern and western Europe, a positive effect on forest growth and wood production is expected [14]. The site index considers the impact of climate conditions, expressing how the climatic and edaphic factors influence site productivity. Therefore, it is frequently used to analyze how environmental changes affect forest ecosystems [16][17][18][19][20]. Climate-sensitive site productivity models provide key information to develop forest management guidelines for adaptation steps and apply mitigation strategies against changing climatic conditions [21]. Site index models also play a crucial role in estimating the dynamics of forest carbon pools. According to the good practice guidance (GPG) of the Intergovernmental Panel on Climate Change (IPCC), the past and future dynamics of forest carbon pools should be calculated using stand volume. Stand volume is most commonly es...

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“…Out of the described curve-fitting approaches, the GADA inherits the following desired properties, as site index modeling is the purpose: polymorphism and concurrently variable asymptotes, base-age invariance and thus being disjoint. It has been used in multiple, recent publications to model tree height (Diéguez-Aranda et al 2006;Weiskittel et al 2009;Seki and Sakici 2017;Özçelik et al 2019;Socha et al 2020;Koirala et al 2021;Socha et al 2021). The applied modelling approaches to construct families of height growth curves using the GADA are the non-linear mixed effects approach and the dummy variable approach.…”

Section: Introductionmentioning

confidence: 99%

Two subject specific modelling approaches to construct base-age invariant polymorphic site index curves with varying asymptotes

Sprengel¹,

Spiecker²,

Wu³

2022

Silva Fenn.

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For constructing growth and yield models the concept of site index as measure of productivity is crucial. Here, we use nonlinear mixed-effects models (NLME) with random individual effects and nonlinear models with dummy variables as fixed individual effects (NLFE) to fit mechanistic growth functions to stem analysis data of the economically most important tree species in Zhongtiaoshan forest region, China. The Richards and Lundqvist function are formulated into five dynamic equations (R1, R2, L1, L2 and L3) applying the generalized algebraic difference approach (GADA), which inherit polymorphism, varying asymptotes and base-age invariance. According to Akaike information criterion the R1 model as NLFE fits height growth data of CarriÃ¨re, Franch., Koidz., Blume and Sukaczev best, while for Blume R2 as NLFE fits height growth data best. For Mayr L1 as NLME has been selected as best model, as R1 and R2 both as NLFE and NLME are not extrapolating the comparably short length of height growth data well enough. However, according to the root mean square error and bias differences between model fits of both the selected equation and the chosen model fitting approach are not so clear. Presented families of height growth curves serve as planning tools to identify site index and therefore assess productivity of forest stands in the studied region. A direct comparison of the productivity of forest stands of the same tree species is possible due to base-age invariance of the selected models.Pinus tabuliformisPinus armandiiQuercus liaotungensisQuercus alienaBetula platyphyllaQuercus variabilisLarix principis-rupprechtii

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Dominant height growth and dynamic site index models for Crimean pine in the Kastamonu–Taşköprü region of Turkey

Cited by 15 publications

References 26 publications

Nueva ecuación dinámica de altura dominante e índice de sitio para Pinus chiapensis (Martínez) Andresen en Puebla y Veracruz, México

Nueva ecuación dinámica de altura dominante e índice de sitio para Pinus chiapensis (Martínez) Andresen en Puebla y Veracruz, México

Site Index Models for Main Forest-Forming Tree Species in Poland

Two subject specific modelling approaches to construct base-age invariant polymorphic site index curves with varying asymptotes

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