Predicting of biomass in Brazilian tropical dry forest: a statistical evaluation of generic equations



Título del documento: Predicting of biomass in Brazilian tropical dry forest: a statistical evaluation of generic equations
Revista: Anais da Academia Brasileira de Ciencias
Base de datos: PERIÓDICA
Número de sistema: 000412312
ISSN: 0001-3765
Autors: 1
1
2
2
2
Institucions: 1Universidade do Estado do Amapa, Laboratorio de Manejo Florestal, Macapa, Amapa. Brasil
2Universidade Federal Rural de Pernambuco, Laboratório de Manejo de Florestas Naturais "Jose Serafim Feitosa Ferraz", Recife, Pernambuco. Brasil
Any:
Període: Sep
Volum: 89
Número: 3
Paginació: 1815-1824
País: Brasil
Idioma: Inglés
Tipo de documento: Artículo
Enfoque: Experimental, aplicado
Resumen en inglés Dry tropical forests are a key component in the global carbon cycle and their biomass estimates depend almost exclusively of fitted equations for multi-species or individual species data. Therefore, a systematic evaluation of statistical models through validation of estimates of aboveground biomass stocks is justifiable. In this study was analyzed the capacity of generic and specific equations obtained from different locations in Mexico and Brazil, to estimate aboveground biomass at multi-species levels and for four different species. Generic equations developed in Mexico and Brazil performed better in estimating tree biomass for multi-species data. For Poincianella bracteosa and Mimosa ophthalmocentra, only the Sampaio and Silva (2005) generic equation was the most recommended. These equations indicate lower tendency and lower bias, and biomass estimates for these equations are similar. For the species Mimosa tenuiflora, Aspidosperma pyrifolium and for the genus Croton the specific regional equations are more recommended, although the generic equation of Sampaio and Silva (2005) is not discarded for biomass estimates. Models considering gender, families, successional groups, climatic variables and wood specific gravity should be adjusted, tested and the resulting equations should be validated at both local and regional levels as well as on the scales of tropics with dry forest dominance
Disciplines Biología,
Agrociencias
Paraules clau: Ecología,
Silvicultura,
Bosque seco tropical,
Producción de biomasa,
Manejo forestal,
Modelos alométricos
Keyword: Biology,
Agricultural sciences,
Ecology,
Silviculture,
Tropical dry forest,
Biomass production,
Forest management,
Allometric models
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