Abstract
The restoration and reforestation of 12 million hectares of forests by 2030 are amongst the leading mitigation strategies for reducing carbon emissions within the Brazilian Nationally Determined Contribution targets assumed under the Paris Agreement. Understanding the dynamics of forest cover, which steeply decreased between 1985 and 2018 throughout Brazil, is essential for estimating the global carbon balance and quantifying the provision of ecosystem services. To know the long-term increment, extent, and age of secondary forests is crucial; however, these variables are yet poorly quantified. Here we developed a 30-m spatial resolution dataset of the annual increment, extent, and age of secondary forests for Brazil over the 1986–2018 period. Land-use and land-cover maps from MapBiomas Project (Collection 4.1) were used as input data for our algorithm, implemented in the Google Earth Engine platform. This dataset provides critical spatially explicit information for supporting carbon emissions reduction, biodiversity, and restoration policies, enabling environmental science applications, territorial planning, and subsidizing environmental law enforcement.
Highlights
Background & SummaryIn Brazil (Fig. 1), forest cover decreased from 4,646,516 km[2] in 1985 to 4,079,827 km[2] in 2018, a total reduction of 12% (566,689 km2)[1]; an area slightly larger than Spain
While forest loss continues in Brazil at varying rates, secondary forests are regrowing on areas where old-growth forests have been completely removed by human disturbances[5]
Of zero is attributed to the pixel. The age of this pixel, subsequently, will only be computed again if the algorithm detects a new non-forest to forest transition in the forest cover map (Step 1), which depends on the MapBiomas project classification method
Summary
Background & SummaryIn Brazil (Fig. 1), forest cover (excluding mangroves and plantations) decreased from 4,646,516 km[2] in 1985 to 4,079,827 km[2] in 2018, a total reduction of 12% (566,689 km2) (https://mapbiomas.org; Collection 4.1)[1]; an area slightly larger than Spain. We developed a 30-m spatial resolution dataset of the annual increment, extent, and age of secondary forests for Brazil over the 1986–2018 period.
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