A close look at above ground biomass of a large and heterogeneous Seasonally Dry Tropical Forest - Caatinga in North East of Brazil
Título del documento: A close look at above ground biomass of a large and heterogeneous Seasonally Dry Tropical Forest - Caatinga in North East of Brazil
Revue: Anais da Academia Brasileira de Ciencias
Base de datos: PERIÓDICA
Número de sistema: 000436253
ISSN: 0001-3765
Autores: 1
2
1
2
2
1
2
Instituciones: 1Universidade Federal do Ceara, Departamento de Engenharia Agricola, Fortaleza, Ceara. Brasil
2The Woods Hole Research Center, Falmouth, Massachusetts. Estados Unidos de América
Año:
Volumen: 92
Número: 1
País: Brasil
Idioma: Inglés
Tipo de documento: Artículo
Enfoque: Analítico, descriptivo
Resumen en inglés This work is focused on characterizing and understanding the above ground biomass of Caatinga in a semiarid region in northeastern Brazil. The quantification of Caatinga biomass is limited by the small number of field plots, which are inadequate for addressing the biome’s extreme heterogeneity. Satellite-derived biomass products can address spatial and temporal changes but they have not been validated for seasonally dry tropical forests. Here we combine a compilation of published field phytosociological observations with a new 30m spatial resolution satellite biomass product. Both data were significantly correlated, satellite estimates consistently captured the wide variability of the biomass across the different physiognomies (2-272 Mg/ha). Based on the satellite product we show that in year 2000 about 50 percent of the region had very low biomass (<2 Mg/ha) and that the majority of the biomass (86%) is concentrated in only 27% of the area. Our work confirm other estimates of biomass 39 Mg/ha (9-61 Mg/ha) and carbon 0.79 PgC. The satellite products together with ground based estimates has the potential to improve forest management in Caatinga and other seasonally dry tropical forests through improved approximation of spatial variability, how they relate to climate, and support numerical modeling experiments in semiarid regions
Disciplinas: Geografía
Palabras clave: Geografía física,
Biomasa aérea,
Fisionomía,
Percepción remota,
Bosque tropical caducifolio,
Zonas semiáridas
Keyword: Physical geography,
Aerial biomass,
Physiognomy,
Remote sensing,
Seasonally dry tropical forest,
Semiarid zones
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