Additive biomass equations for pine species of forest plantations of Durango, Mexico
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Instituto de Ecología, A.C.
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Statistical analysis between three weighted additive biomass equations are presented forplanted pine species typical of the coniferous forests of the Western Sierra Madre mountain range ofDurango, Mexico. Statistical and graphical analyses were used to select the best single and multipleindividual biomass component equation. Linear equations better fitted the biomass components.Therefore, three linear additive procedures were tested: (i) the conventional, (ii) a harmonization, and(iii) the seemingly-unrelated regression in two types of equations of component biomass estimationusing both simple regression and multiple regression techniques. These tests were performed at twoscales: (a) each of three pine species and (b) all three species. For both the simple linear and bestmultiple regression equation, the seemingly-unrelated equations provided more precise biomasscomponent estimates, with tendencies consistent with the conventional non-additive non-linear regressionprocedures, and provided average biomass component estimates when equations were appliedto a data set of 23 sample quadrants.
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