Allometric equations and carbon stocks in tree biomass of Jatropha curcas L. in Senegal’s Peanut Basin

Diédhiou, Ibrahima; Diallo, Dior; Mbengue, Aby; Hernandez, Rebecca R.; Bayala, Roger; Diémé, R.; Diédhiou, Papa Madiallacké; Sène, Abdou

doi:10.1016/j.gecco.2016.11.007

Cited by 23 publications

(11 citation statements)

References 25 publications

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“…The available primary data were sorted based on the designated verifiers, then was subsequently analyzed by regression to identify the verifier with the strongest relationship with the land suitability classification. The coefficient of determination (R 2 ), the significance value, and the standard error were parameters used to determine the selection of the most reliable equation model (Mascaro et al 2011;Jara et al 2015;Diedhiou et al 2017). Each indicator does not actually affect land suitability classes separately.…”

Section: Discussionmentioning

confidence: 99%

The limiting factors of land suitability for sandalwood (Santalum album) in Sumba Island, Indonesia

Kurniawan¹,

Pamungkas²

2020

Biodiversitas

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Abstract. Kurniawan H, Pamungkas D. 2020. The limiting factors of land suitability for sandalwood (Santalum album) in Sumba Island, Indonesia. Biodiversitas 21: 3364-3372. The land suitability assessment for sandalwood is very important for the successful cultivation and development of sandalwood (Santalum album Linn.) in Sumba Island, East Nusa Tenggara Province, Indonesia. The map of land suitability classification for sandalwood is currently available. The land suitability assessment is determined based on designated indicators and predictors. It is important to identify the most influential measures in a particular area to determine the suitable treatment to be applied to the sandalwood plant, as well as to recognize the land suitability evaluation swiftly and efficiently. This study was aimed to determine the variables of indicators or verifiers that have the strongest relationship with the land suitability class for sandalwood. Regression method was used to develop the relationship model and to determine the level of the relationship through the coefficient of determination. The result shows that P2O5 content was the most influential factor to determine the land suitability class for sandalwood in Sumba Island.

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Section: Discussionmentioning

confidence: 99%

The limiting factors of land suitability for sandalwood (Santalum album) in Sumba Island, Indonesia

Kurniawan¹,

Pamungkas²

2020

Biodiversitas

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“…This range of carbon concentration was more stable and narrower than that of the 11 Chinese temperate broadleaf species (48.36%-50.55%) [46], 8 other Chinese temperate broadleaf species in northeast China (43.70%-55.10%) [16], 41 tree species from North America (46.30%-55.20%) [47], and 32 tree species in tropical forests (44.40%-49.40%) [21]. Although the carbon was estimated by assuming the biomass carbon as a constant 50% (or other values) [48][49][50], the average carbon…”

Section: Discussionmentioning

confidence: 99%

Variation in Carbon Concentration and Allometric Equations for Estimating Tree Carbon Contents of 10 Broadleaf Species in Natural Forests in Northeast China

Dong

Liu

Zhang

et al. 2019

Forests

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In this study, the effects of tree species, tissue types, and tree size on the carbon concentration were studied, and the two additive systems, one with tree diameter (D), and the other with both D and tree height (H), were developed to estimate the stem, root, branch, and foliage carbon content of 10 broadleaf species in northeast China. The coefficients of the two systems were estimated with the nonlinear seemingly unrelated regression (NSUR), while the heteroscedasticity of the model residual was solved with the weight function. Our results showed that carbon concentrations varied along with tree species and size; the tissues and foliage contained higher carbon concentration than other observed tissues. The two additive carbon equation systems exhibited good predictive and fitting performance, with Ra2 > 0.87, average prediction error of approximately 0, and small average absolute error and absolute error percentage. The carbon equation system constructed with D and H exhibited better fit and performance, particularly for the stem and total carbon. Thus, the additive carbon equation systems estimated the tree carbon of 10 broadleaf species more accurately. These carbon equations can be used to monitor the carbon pool sizes for natural forests in the Chinese National Forest Inventory.

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“…The resulting mean response function denoted through the symbol E z (v|u) becomes E z (v|u) = z(u). A retransformation y = exp(z(x(u)) + ) of Equation (4) to direct scales yields a mean response function E z (y x) namely,…”

Section: Identification In Log Scalesmentioning

confidence: 99%

“…Carbon fixation by plant biomass units promotes reduction of concentration of greenhouse gases in the atmosphere, thereby lessening global warming [1][2][3][4][5][6]. Therefore, the assessment of the flux and storage of carbon in plant biomass is of great interest.…”

Section: Introductionmentioning

confidence: 99%

A Generalized Model of Complex Allometry I: Formal Setup, Identification Procedures and Applications to Non-Destructive Estimation of Plant Biomass Units

Echavarría-Heras¹,

Leal-Ramírez²,

Villa-Diharce³

et al. 2019

Applied Sciences

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(1) Background: We previously demonstrated that customary regression protocols for curvature in geometrical space all derive from a generalized model of complex allometry combining scaling parameters expressing as continuous functions of covariate. Results highlighted the relevance of addressing suitable complexity in enhancing the accuracy of allometric surrogates of plant biomass units. Nevertheless, examination was circumscribed to particular characterizations of the generalized model. Here we address the general identification problem. (2) Methods: We first suggest a log-scales protocol composing a mixture of linear models weighted by exponential powers. Alternatively, adopting an operating regime-based modeling slant we offer mixture regression or Takagi–Sugeno–Kang arrangements. This last approach allows polyphasic identification in direct scales. A derived index measures the extent on what complexity in arithmetic space drives curvature in arithmetical space. (3) Results: Fits on real and simulated data produced proxies of outstanding reproducibility strength indistinctly of data scales. (4) Conclusions: Presented analytical constructs are expected to grant efficient allometric projection of plant biomass units and also for the general settings of allometric examination. A traditional perspective deems log-transformation and allometry inseparable. Recent views assert that this leads to biased results. The present examination suggests this controversy can be resolved by addressing adequately the complexity of geometrical space protocols

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Allometric equations and carbon stocks in tree biomass of Jatropha curcas L. in Senegal’s Peanut Basin

Cited by 23 publications

References 25 publications

The limiting factors of land suitability for sandalwood (Santalum album) in Sumba Island, Indonesia

The limiting factors of land suitability for sandalwood (Santalum album) in Sumba Island, Indonesia

Variation in Carbon Concentration and Allometric Equations for Estimating Tree Carbon Contents of 10 Broadleaf Species in Natural Forests in Northeast China

A Generalized Model of Complex Allometry I: Formal Setup, Identification Procedures and Applications to Non-Destructive Estimation of Plant Biomass Units

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