Assessing the carbon capture potential of a reforestation project Article Swipe
David Lefebvre
,
Adrian Williams
,
G. J. D. Kirk
,
Paul
,
Paul Burgess
,
Jeroen Meersmans
,
Miles R. Silman
,
Francisco Román‐Dañobeytia
,
Jhon Farfan
,
Pete Smith
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-021-99395-6
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-021-99395-6
The number of reforestation projects worldwide is increasing. In many cases funding is obtained through the claimed carbon capture of the trees, presented as immediate and durable, whereas reforested plots need time and maintenance to realise their carbon capture potential. Further, claims usually overlook the environmental costs of natural or anthropogenic disturbances during the forest’s lifetime, and greenhouse gas (GHG) emissions associated with the reforestation are not allowed for. This study uses life cycle assessment to quantify the carbon footprint of setting up a reforestation plot in the Peruvian Amazon. In parallel, we combine a soil carbon model with an above- and below-ground plant carbon model to predict the increase in carbon stocks after planting. We compare our results with the carbon capture claims made by a reforestation platform. Our results show major errors in carbon accounting in reforestation projects if they (1) ignore the time needed for trees to reach their carbon capture potential; (2) ignore the GHG emissions involved in setting up a plot; (3) report the carbon capture potential per tree planted, thereby ignoring limitations at the forest ecosystem level; or (4) under-estimate tree losses due to inevitable human and climatic disturbances. Further, we show that applications of biochar during reforestation can partially compensate for project emissions.
Related Topics
Concepts
Reforestation
Greenhouse gas
Environmental science
Carbon sequestration
Deforestation (computer science)
Tree planting
Carbon accounting
Carbon fibers
Agroforestry
Afforestation
Biochar
Ecosystem
Forestry
Ecology
Computer science
Geography
Carbon dioxide
Engineering
Biology
Waste management
Algorithm
Composite number
Programming language
Pyrolysis
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41598-021-99395-6
- https://www.nature.com/articles/s41598-021-99395-6.pdf
- OA Status
- gold
- Cited By
- 71
- References
- 53
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3200454203
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3200454203Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1038/s41598-021-99395-6Digital Object Identifier
- Title
-
Assessing the carbon capture potential of a reforestation projectWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-10-07Full publication date if available
- Authors
-
David Lefebvre, Adrian Williams, G. J. D. Kirk, Paul, Paul Burgess, Jeroen Meersmans, Miles R. Silman, Francisco Román‐Dañobeytia, Jhon Farfan, Pete SmithList of authors in order
- Landing page
-
https://doi.org/10.1038/s41598-021-99395-6Publisher landing page
- PDF URL
-
https://www.nature.com/articles/s41598-021-99395-6.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://www.nature.com/articles/s41598-021-99395-6.pdfDirect OA link when available
- Concepts
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Reforestation, Greenhouse gas, Environmental science, Carbon sequestration, Deforestation (computer science), Tree planting, Carbon accounting, Carbon fibers, Agroforestry, Afforestation, Biochar, Ecosystem, Forestry, Ecology, Computer science, Geography, Carbon dioxide, Engineering, Biology, Waste management, Algorithm, Composite number, Programming language, PyrolysisTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
71Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 19, 2024: 18, 2023: 19, 2022: 15Per-year citation counts (last 5 years)
- References (count)
-
53Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| institutions_distinct_count | 10 |
| corresponding_institution_ids | https://openalex.org/I82284825 |
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