| Journal: | Anais da Academia Brasileira de Ciencias |
| Database: | PERIÓDICA |
| System number: | 000412312 |
| ISSN: | 0001-3765 |
| Authors: | Lima, Robson B. de1 Alves-Junior, Francisco T1 Oliveira, Cinthia P. de2 Silva, Jose A.A. da2 Ferreira, Rinaldo L.C2 |
| Institutions: | 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 |
| Year: | 2017 |
| Season: | Sep |
| Volumen: | 89 |
| Number: | 3 |
| Pages: | 1815-1824 |
| Country: | Brasil |
| Language: | Inglés |
| Document type: | Artículo |
| Approach: | Experimental, aplicado |
| English abstract | 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 |
| Keyword: | 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 |
| Full text: | Texto completo (Ver HTML) |
