Development of ecoregion-based height–diameter models for 3 economically important tree species of southern Turkey

Özçelık, Ramazan; Yavuz, Hakkı; Karatepe, Yasin; Gürlevık, Nevzat; Kırış, Rüstem

doi:10.3906/tar-1304-115

Cited by 23 publications

(13 citation statements)

References 29 publications

(22 reference statements)

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“…The concept of ecoregion has long been used in biodiversity conservation [ 9 , 57 , 58 ], and more recently to estimate primary productivity and carbon balance [ 83 ] and to develop height-diameter allometric models [ 84 – 88 ] and biomass models [ 72 ]. Despite high variation within sites and between nearby sites in our study, ecoregion explained 42% of AGB density variation.…”

Section: Discussionmentioning

confidence: 99%

Optimizing biomass estimates of savanna woodland at different spatial scales in the Brazilian Cerrado: Re-evaluating allometric equations and environmental influences

et al. 2018

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Cerrado is the second largest biome in South America and accounted for the second largest contribution to carbon emissions in Brazil for the last 10 years, mainly due to land-use changes. It comprises approximately 2 million km2 and is divided into 22 ecoregions, based on environmental conditions and vegetation. The most dominant vegetation type is cerrado sensu stricto (cerrado ss), a savanna woodland. Quantifying variation of biomass density of this vegetation is crucial for climate change mitigation policies. Integrating remote sensing data with adequate allometric equations and field-based data sets can provide large-scale estimates of biomass. We developed individual-tree aboveground biomass (AGB) allometric models to compare different regression techniques and explanatory variables. We applied the model with the strongest fit to a comprehensive ground-based data set (77 sites, 893 plots, and 95,484 trees) to describe AGB density variation of cerrado ss. We also investigated the influence of physiographic and climatological variables on AGB density; this analysis was restricted to 68 sites because eight sites could not be classified into a specific ecoregion, and one site had no soil texture data. In addition, we developed two models to estimate plot AGB density based on plot basal area. Our data show that for individual-tree AGB models a) log-log linear models provided better estimates than nonlinear power models; b) including species as a random effect improved model fit; c) diameter at 30 cm above ground was a reliable predictor for individual-tree AGB, and although height significantly improved model fit, species wood density did not. Mean tree AGB density in cerrado ss was 22.9 tons ha-1 (95% confidence interval = ± 2.2) and varied widely between ecoregions (8.8 to 42.2 tons ha-1), within ecoregions (e.g. 4.8 to 39.5 tons ha-1), and even within sites (24.3 to 69.9 tons ha-1). Biomass density tended to be higher in sites close to the Amazon. Ecoregion explained 42% of biomass variation between the 68 sites (P < 0.01) and shows strong potential as a parameter for classifying regional biomass variation in the Cerrado.

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Section: Discussionmentioning

confidence: 99%

Optimizing biomass estimates of savanna woodland at different spatial scales in the Brazilian Cerrado: Re-evaluating allometric equations and environmental influences

et al. 2018

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“…The expressions of these statistical criteria are summarized in Table 2. R 2 adj is a measure used to determine the relative correlation and the goodness of fit between the estimated and measured data; RMA and RMSE indicate the accuracy of the estimates; and the AIC is an index used to select the best model from a group of candidate models (Aishan et al, 2016;Castaño-Santamaría et al, 2013;Özçelik et al, 2014). In general, models with the lowest RMSE, RMA, and AIC, and with the highest R 2 adj are known to perform best (Aertsen et al, 2010;Ahmadi et al, 2013).…”

Section: Model Performance Criteriamentioning

confidence: 99%

Generalized nonlinear height–diameter models for a <i>Cryptomeria fortunei</i> plantation in the Pingba region of Guizhou Province, China

Chai

Tan

et al. 2018

Web Ecol.

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Abstract. The relationship between height and diameter (H-D)is an important component in forest growth and yield models, and a better understanding of the relationship will improve forest monitoring, management, and biomass estimation. Sixteen nonlinear growth functions were fitted to H-D data for 1261 trees from a Cryptomeria fortunei plantation in the Pingba region of Guizhou Province, China. Of the 1261 trees, 80 % were randomly selected for model calibration, while the remaining trees were reserved for model validation. All models were evaluated and compared by means of multiple-model performance criteria. Although all 16 models showed a good fit to the dataset and each of them accounted for more than 75 % of the total variation in height, a large difference in asymptotic estimates was observed. The Chapman-Richards, Weibull, and Näslund models were recommended for C. fortunei plantations, due to their satisfactory height prediction and biological interpretability.

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“…That said, the estimation of tree height is very important to forest managers for decisionmaking, since tree diameter and height allow the indirect estimation of individual tree volume and can be sufficiently used to describe stand growth dynamics (Özçelik, Yavuz, Karatepe, Gürlevik, & Kiriş, 2014).…”

Section: Introductionmentioning

confidence: 99%

Site quality assessment and allometric models for tree species in the Oban Forest, Nigeria

Adeyemi

2016

Journal of Sustainable Forestry

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The suitability of site form (SF) methods for evaluating site quality was investigated. Systematic sampling techniques were used for plot location in four sites (Aking, Ekang, Erokut, and Ekuri) within the Oban Forest of Nigeria. Four 2-km-long transects/sites were sampled, totaling 16 transects. Five 0.25-ha plots were alternately laid along each transect, making 80 plots. All trees with diameter at breast height (DBH) ≥ 10 cm were measured for height and diameter at the merchantable limit, middle, and base. Soil samples were collected at 0-15 and 15-30 cm depths in each plot, then analyzed using standard laboratory procedures. Site forms were computed using an index diameter of 25 cm. Data were analyzed using descriptive statistics, correlation analyses, and regression models. Ekuri had the highest stand density (173.0 ± 51.0 stems/ha), Erokut had the lowest (143.0 ± 39.0 stems/ha). Ekang had the highest stem volume (3,847.14 ± 2.16 m 3 /ha), while Erokut had the lowest (2,127.71 ± 1,382 m 3 /ha). The most productive site was Ekang (SF = 26.52 m), while Erokut was the least productive site (SF = 21.70 m). Stem volume (SV) has significantly positive correlations with soil organic matter, calcium, and silt. The best height-diameter model was logarithmic (R 2 = .51; RMSE = 4.462). The most suitable SV model was polynomial (R 2 = .85; RMSE = 2.207).

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Development of ecoregion-based height–diameter models for 3 economically important tree species of southern Turkey

Cited by 23 publications

References 29 publications

Optimizing biomass estimates of savanna woodland at different spatial scales in the Brazilian Cerrado: Re-evaluating allometric equations and environmental influences

Optimizing biomass estimates of savanna woodland at different spatial scales in the Brazilian Cerrado: Re-evaluating allometric equations and environmental influences

Generalized nonlinear height–diameter models for a <i>Cryptomeria fortunei</i> plantation in the Pingba region of Guizhou Province, China

Site quality assessment and allometric models for tree species in the Oban Forest, Nigeria

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Development of ecoregion-based height–diameter models for 3 economically important tree species of southern Turkey

Cited by 23 publications

References 29 publications

Optimizing biomass estimates of savanna woodland at different spatial scales in the Brazilian Cerrado: Re-evaluating allometric equations and environmental influences

Optimizing biomass estimates of savanna woodland at different spatial scales in the Brazilian Cerrado: Re-evaluating allometric equations and environmental influences

Generalized nonlinear height–diameter models for a &lt;i&gt;Cryptomeria fortunei&lt;/i&gt; plantation in the Pingba region of Guizhou Province, China

Site quality assessment and allometric models for tree species in the Oban Forest, Nigeria

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Generalized nonlinear height–diameter models for a <i>Cryptomeria fortunei</i> plantation in the Pingba region of Guizhou Province, China