ABSTRACT
Dry tropical forests in arid lands cover large areas in Brazil, but few studies report the total biomass stock showing the importance of height measurements, in addition to applying and comparing local and pan-tropical models. Here, we use a biomass data set of 500 trees and shrubs, covering 15 species harvested in a management plan in the state of Pernambuco, in Brazil. We seek to develop local models and compare them with the equations traditionally applied to dry forests – showing the importance of tree height measurements. Due to the non-linear relationships with the independent variables of the tree, we used a nonlinear least squares modeling technique when adjusting models, we adopted the cross-validation procedure. In summary, our above-ground biomass data set is best represented by the Schumacher-Hall equation: exp [3.5336 + 1.9126 × log (D) + 1.2438 × log (Ht)], which shows that height measurements are essential to estimate accurately biomass. The biggest prediction errors observed when testing pan-tropical models in our data demonstrated the importance of developing new local models and indicated that careful considerations should be made if generic “pan-tropical” models without height measurements are planned for application in dry forests in Brazil.
Acknowledgments
The authors are grateful for the help of the researchers Rinaldo Caraciolo Ferreira, José Aleixo da Silva and Robson Lima who collaborated to complete this work. We also thank the forestry worker and German Cespedez, who is responsible for the data access to the area for developing this work. The authors are grateful for the financial support granted by the National Council for Scientific and Technological Development (CNPq) by the productivity bag of the second and third co-authors, project leaders.
Competing interests
The authors declare no conflict of interest
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