Predicting of biomass in Brazilian tropical dry forest: a statistical evaluation of generic equations
| Autor: | Rinaldo Luiz Caraciolo Ferreira, Francisco Tarcísio Alves Junior, José Antônio Aleixo da Silva, Cinthia Pereira de Oliveira, Robson Borges de Lima |
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| Rok vydání: | 2017 |
| Předmět: |
0106 biological sciences
Mimosa tenuiflora Tropical and subtropical dry broadleaf forests caatinga Forest management forest management Mimosa ophthalmocentra Forests 010603 evolutionary biology 01 natural sciences statistical validation Tropical climate Dominance (ecology) Biomass lcsh:Science Mexico Mathematics above-ground biomass Biomass (ecology) Tropical Climate Multidisciplinary Models Statistical biology Agroforestry Tropics Forestry biology.organism_classification lcsh:Q allometric models Brazil 010606 plant biology & botany Environmental Monitoring |
| Zdroj: | Anais da Academia Brasileira de Ciências, Volume: 89, Issue: 3, Pages: 1815-1828, Published: 23 AUG 2017 Anais da Academia Brasileira de Ciências v.89 n.3 2017 Anais da Academia Brasileira de Ciências Academia Brasileira de Ciências (ABC) instacron:ABC Anais da Academia Brasileira de Ciências, Iss 0 (2017) |
| ISSN: | 1678-2690 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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