Evaluation of Different Modeling Approaches for Estimating Total Bole Volume of Hispaniolan Pine (Pinus occidentalis Swartz) in Different Ecological Zones

Author:

Bueno-López Santiago W.1ORCID,Caraballo-Rojas Luis R.1,Torres-Herrera Juan G.2

Affiliation:

1. Vice-Rectory of Research and Innovation, Pontificia Universidad Católica Madre y Maestra (PUCMM), Santiago de los Caballeros 51000, Dominican Republic

2. Consorcio Forestal Serrano, San Jose de las Matas 51000, Dominican Republic

Abstract

Pinus occidentalis (Swartz) is the primary timber species in the Dominican Republic (DR). Despite its economic importance, studies conducted on this species are scarce, making it difficult to estimate current inventory levels. This study aims to enhance the accuracy of estimating the total bole volume of P. occidentalis in different ecological zones (EZs) within La Sierra, evaluating and comparing two established volume equations—combined variable (CV) and Schumacher and Hall (S&H) across nine modeling variants. An indicator variables analysis determined the necessity of distinct equations for two EZs. Fitting included both linear and nonlinear models. Our comprehensive statistical analysis included goodness-of-fit metrics to evaluate each model variant’s performance rigorously. The second modeling variant (SH02) for the SH equation was most effective in the Dry Ecological Zone, showing superior performance in both the fitting and validation phases. Similarly, the third modeling variant (SH03) for the SH equation emerged as the best fit for the Combined Intermediate and Humid Ecological Zones, achieving the lowest overall ranking sum among tested variants. SH02 and SH03 provide reliable and precise volume estimations, allowing for the optimization of forestry management practices for P. occidentalis trees. The SH models outperformed the CV model variants’ consistency in parameter estimation. This tailored approach ensures more accurate volume predictions, which is crucial for sustainable management and conservation efforts.

Funder

Ministry of Higher Education, Science and Technology of the Dominican Republic, National Fund for Innovation and Scientific and Technological Development

Pontificia Universidad Católica Madre y Maestra

Publisher

MDPI AG

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