Published February 28, 2023 | Version v1
Dataset Open

Potential aboveground biomass increase in Brazilian Atlantic Forest fragments with climate change

  • 1. Remote Sensing Division, National Institute for Space Research (INPE), São José dos Campos/SP, 12227-010, Brazil.
  • 2. Veraterra Mapeamento e Consultoria Ambiental, Uruçuca/BA, 45680-000, Brazil.
  • 3. Laboratório de Ciências Ambientais, LCA, Universidade Estadual do Norte Fluminense (UENF), Campos dos Goytacazes/RJ, 28013-602, Brazil.
  • 4. Department of Forest Sciences, "Luiz de Queiroz" College of Agriculture, University of São Paulo, Piracicaba/SP, 13418-900, Brazil.
  • 5. Centro de Formação em Ciências Agroflorestais, Universidade Federal do Sul da Bahia, Itabuna/BA, 45613‑204, Brazil.
  • 6. National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN), Parque Tecnológico de São José dos Campos, São José dos Campos/ SP, 12247-016, Brazil.
  • 7. Department of Animal Biology, University of Campinas, Campinas/SP, 13083-862, Brazil.
  • 8. Remote Sensing Division, National Institute for Space Research (INPE), São José dos Campos/SP, 12227-010, Brazil. Faculty of Environment, Science and Economy, University of Exeter, Exeter, UK.

Description

This file collection contains the estimated spatial distribution of the above-ground biomass density (AGB) by the end of the 21st century across the Brazilian Atlantic Forest domain and the respective uncertanty. To develop the models, we used the maximum entropy method with projected climate data to 2100, based on the Intergovernmental Panel on Climate Change (IPCC) Representative Concentration Pathway (RCP) 4.5 from the fifth Assessment Report (AR5).

The dataset is composed of four files in GeoTIFF format:

calibrated-AGB-distribution.tif: raster file representing the present spatial distribution of the above-ground biomass density in the Atlantic Forest from the calibrated model. Unit: Mg/ha 

estimated-uncertanty-for-calibrated-agb-distribution.tif: raster file representing the estimated spatial uncertanty distribution of the calibrated above-ground biomass density. Unit: percentage.

projected-AGB-distribution-under-rcp45.tif: raster file representing the projected spatial distribution of the above-ground biomass density in the Atlantic Forest by the end of 2100 under RCP 4.5 scenario. Unit: Mg/ha 

estimated-uncertanty-for-projected-agb-distribution.tif: raster file representing the estimated spatial uncertanty distribution of the projected above-ground biomass density. Unit: percentage.

Spatial resolution: 0.0083 degree (ca. 1 km)

Coordinate reference system: Geographic Coordinate System - Datum WGS84

Files

calibrated-AGB-distribution.tif

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Additional details

Related works

Is described by
Journal article: 10.1111/gcb.16670 (DOI)