Cited by 67Conservation, Biodiversity, and Resource ManagementForest Management and PolicyForest ecology and management

Old-growth forest loss and secondary forest recovery across Amazonian countries

Open access
Smith, Charlotte C, Healey, John R, Berenguer, Erika, Young, Paul J, Taylor, Ben, Elias, Fernando, Espírito-Santo, Fernando, Barlow, Jos·2021·Environmental Research Letters

Abstract

There is growing recognition of the potential of large-scale forest restoration in the Amazon as a ‘nature-based solution’ to climate change. However, our knowledge of forest loss and recovery beyond Brazil is limited, and carbon emissions and accumulation have not been estimated for the whole biome. Combining a 33 year land cover dataset with estimates of above-ground biomass and carbon sequestration rates, we evaluate forest loss and recovery across nine Amazonian countries and at a local scale. We also estimate the role of secondary forests in offsetting old-growth deforestation emissions and explore the temporal trends in forest loss and recovery. We find secondary forests across the biome to have offset just 9.7% of carbon emissions from old-growth deforestation, despite occupying 28.8% of deforested land. However, these numbers varied between countries ranging from 9.0% in Brazil to 23.8% in Guyana for carbon offsetting, and 24.8% in Brazil to 56.9% in Ecuador for forest area recovery. We reveal a strong, negative spatial relationship between old-growth forest loss and recovery by secondary forests, showing that regions with the greatest potential for large-scale restoration are also those that currently have the lowest recovery (e.g. Brazil dominates deforestation and emissions but has the lowest recovery). In addition, a temporal analysis of the regions that were >80% deforested in 1997 shows a continued decline in overall forest cover. Our findings identify three important challenges: (a) incentivising large-scale restoration in highly deforested regions, (b) protecting secondary forests without disadvantaging landowners who depend on farm-fallow systems, and (c) preventing further deforestation. Combatting all these successfully is essential to ensuring that the Amazon biome achieves its potential in mitigating anthropogenic climate change.

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Crossref · 10.1088/1748-9326/ac1701

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  • At the landscape scale, secondary forests are more likely to be cleared than mature forests, thus keeping forests persistently young and landscapes fragmented.

    “At the landscape scale, secondary forests are more likely to be cleared than mature forests, thus keeping forests persistently young and landscapes fragmented83.”

    From Critical transitions in the Amazon forest system (2024) · cites this paper as [83]

    Section 2.2 reports that most Amazonian secondary forest was young and that 70% of cleared secondary forest was five years old or less; the Discussion also describes high turnover and short residence times. Our copy does not establish that secondary forests are more likely to be cleared than mature forests, or that their clearance keeps landscapes fragmented. Page numbers were not available in the indexed passages. (LLM, conf=0.85)

    Experimental — accuracy not yet measured
  • The Amazon biome has already lost 13% of its original forest area due to deforestation, or 15% of the biome if young secondary forests are considered.

    “The Amazon biome has already lost 13% of its original forest area due to deforestation83 (or 15% of the biome if we consider also young secondary forests83 that provide limited contribution to moisture flow84).”

    From Critical transitions in the Amazon forest system (2024) · cites this paper as [83]

    Table 1 reports 13.4% old-growth forest loss across the Amazon biome, supporting the rounded 13% figure. Section 2.2 reports the extent and ages of secondary forests, but does not report 15% forest loss when young secondary forests are considered. The paper defines secondary forest as regrowth on previously deforested land, so adding it to old-growth loss would double-count that area. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • Estimates from across the Amazon indicate that approximately 30% of areas previously deforested are in a secondary forest state, covering 4% of the biome.

    “Estimates from across the Amazon indicate that approximately 30% of areas previously deforested are in a secondary forest state83 (covering 4% of the biome).”

    From Critical transitions in the Amazon forest system (2024) · cites this paper as [83]

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Authors
Smith, C. C., Healey, J. R., Berenguer, E., Young, P. J., Taylor, B., Elias, F., Espírito-Santo, F., & Barlow, J.
Affiliations
  • Lancaster University (GB)
  • Bangor University (GB)
  • UK Centre for Ecology & Hydrology (GB)
  • Embrapa Amazônia Oriental (BR)
  • University of Leicester (GB)
Corresponding author
Smith, Charlotte C
Venue
Environmental Research Letters
Published
2021-08-01
Volume
16
Issue
8
Pages
085009
ISSN
1748-9326 (ISSN-L)
OpenAlex
W3173192154
Cited by
67
References
3
Citations by year
2026: 10 · 2025: 11 · 2024: 12 · 2023: 12 · 2022: 14 · 2021: 8
FWCI
4.71
Type
journal article
Language
en
Open access
Locations
  • Environmental Research Letters (publishedVersion, cc-by)
  • EarthArXiv (California Digital Library) (submittedVersion, cc-by)
  • Bangor University Research Portal (Bangor University) (submittedVersion, other-oa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • Lancaster EPrints (Lancaster University) (submittedVersion)
  • Figshare (submittedVersion, cc-by)
Funders
Natural Environment Research Council (NE/L002604/1)
Topics
  • Physical Sciences › Environmental Science › Global and Planetary Change › Conservation, Biodiversity, and Resource Management
  • Physical Sciences › Environmental Science › Global and Planetary Change › Forest Management and Policy
  • Physical Sciences › Environmental Science › Nature and Landscape Conservation › Forest ecology and management
Keywords
secondary forest recovery, Amazon deforestation, forest restoration, carbon offsetting, carbon sequestration, aboveground biomass, land cover change, nature-based solutions, climate change mitigation, spatiotemporal trends

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