ArticleScientific data2020
Benchmark maps of 33 years of secondary forest age for Brazil.
Article in Scientific data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A meta-analysis of carbon losses and gains from tropical moist forest degradation and regeneration.Science advances · 2026Pooled it
- Non-native and invasive tree species are abundant in neotropical secondary forest but decline over time.Nature plants · 2026Article
- Characterizing the vertical structure of forests in the Brazilian Amazon.Communications earth & environment · 2026Article
- Forest connectivity boosts carbon recovery in regenerating Atlantic Forests.Communications earth & environment · 2026Article
- Global covariation of forest age transitions with the net carbon balance.Nature ecology & evolution · 2025Article
- The pan-tropical age distribution of regenerating tropical moist forest.Nature ecology & evolution · 2025Article
- Decadal hydroclimatic changes in the Pantanal, the world's largest tropical wetland.Scientific reports · 2025Article
- Mapping of secondary forest age in China using stacked generalization and Landsat time series.Scientific data · 2024Article
- Article
- Collective property rights lead to secondary forest growth in the Brazilian Amazon.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Potential cultivation areas of Euterpe edulis (Martius) for rainforest recovery, repopulation and açai production in Santa Catarina, Brazil.Scientific reports · 2023Article
- Article
- Declining Amazon biomass due to deforestation and subsequent degradation losses exceeding gains.Global change biology · 2023Article
- Biases and limitations of Global Forest Change and author-generated land cover maps in detecting deforestation in the Amazon.PloS one · 2022Article
- Large carbon sink potential of secondary forests in the Brazilian Amazon to mitigate climate change.Nature communications · 2021Article
- Hidden destruction of older forests threatens Brazil's Atlantic Forest and challenges restoration programs.Science advances · 2021Article
- Persistent collapse of biomass in Amazonian forest edges following deforestation leads to unaccounted carbon losses.Science advances · 2020Article
- Benchmark maps of 33 years of secondary forest age for Brazil.Scientific data · 2020Article
Corrections and comments
- Erratum issued
Authors and funding
12 authors.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.