The carbon sink of secondary and degraded humid tropical forests
dc.contributor.author | Heinrich, VHA | |
dc.contributor.author | Vancutsem, C | |
dc.contributor.author | Dalagnol, R | |
dc.contributor.author | Rosan, TM | |
dc.contributor.author | Fawcett, D | |
dc.contributor.author | Silva-Junior, CHL | |
dc.contributor.author | Cassol, HLG | |
dc.contributor.author | Achard, F | |
dc.contributor.author | Jucker, T | |
dc.contributor.author | Silva, CA | |
dc.contributor.author | House, J | |
dc.contributor.author | Sitch, S | |
dc.contributor.author | Hales, TC | |
dc.contributor.author | Aragão, LEOC | |
dc.date.accessioned | 2023-10-03T09:29:03Z | |
dc.date.issued | 2023-03-15 | |
dc.date.updated | 2023-10-02T08:13:56Z | |
dc.description.abstract | The globally important carbon sink of intact, old-growth tropical humid forests is declining because of climate change, deforestation and degradation from fire and logging1-3. Recovering tropical secondary and degraded forests now cover about 10% of the tropical forest area4, but how much carbon they accumulate remains uncertain. Here we quantify the aboveground carbon (AGC) sink of recovering forests across three main continuous tropical humid regions: the Amazon, Borneo and Central Africa5,6. On the basis of satellite data products4,7, our analysis encompasses the heterogeneous spatial and temporal patterns of growth in degraded and secondary forests, influenced by key environmental and anthropogenic drivers. In the first 20 years of recovery, regrowth rates in Borneo were up to 45% and 58% higher than in Central Africa and the Amazon, respectively. This is due to variables such as temperature, water deficit and disturbance regimes. We find that regrowing degraded and secondary forests accumulated 107 Tg C year-1 (90-130 Tg C year-1) between 1984 and 2018, counterbalancing 26% (21-34%) of carbon emissions from humid tropical forest loss during the same period. Protecting old-growth forests is therefore a priority. Furthermore, we estimate that conserving recovering degraded and secondary forests can have a feasible future carbon sink potential of 53 Tg C year-1 (44-62 Tg C year-1) across the main tropical regions studied. | en_GB |
dc.description.sponsorship | Natural Environment Research Council (NERC) | en_GB |
dc.description.sponsorship | São Paulo Research Foundation (FAPESP) | en_GB |
dc.description.sponsorship | RECCAP2 project | en_GB |
dc.description.sponsorship | European Union Horizon 2020 | en_GB |
dc.description.sponsorship | Directorate General for Climate Action of the European Commission | en_GB |
dc.description.sponsorship | University of Manchester | en_GB |
dc.format.extent | 436-442 | |
dc.format.medium | Print-Electronic | |
dc.identifier.citation | Vol. 615 (7952), pp. 436-442 | en_GB |
dc.identifier.doi | https://doi.org/10.1038/s41586-022-05679-w | |
dc.identifier.grantnumber | NE/L002434/1 | en_GB |
dc.identifier.grantnumber | 2019/21662-8 | en_GB |
dc.identifier.grantnumber | NE/S01537X/1 | en_GB |
dc.identifier.grantnumber | 4000123002/18/I-NB | en_GB |
dc.identifier.grantnumber | 821003 | en_GB |
dc.identifier.grantnumber | 2018/14423-4 | en_GB |
dc.identifier.grantnumber | 2020/02656-4 | en_GB |
dc.identifier.grantnumber | NE/L002434/1 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/134150 | |
dc.identifier | ORCID: 0000-0003-0155-1739 (Rosan, Thais M) | |
dc.identifier | ScopusID: 57200631390 (Rosan, Thais M) | |
dc.identifier | ResearcherID: ABC-5808-2020 (Rosan, Thais M) | |
dc.identifier | ORCID: 0000-0003-1821-8561 (Sitch, Stephen) | |
dc.identifier | ScopusID: 6603113016 (Sitch, Stephen) | |
dc.identifier | ResearcherID: F-8034-2015 (Sitch, Stephen) | |
dc.language.iso | en | en_GB |
dc.publisher | Nature Research | en_GB |
dc.relation.url | https://www.ncbi.nlm.nih.gov/pubmed/36922608 | en_GB |
dc.rights | © The Author(s), under exclusive licence to Springer Nature Limited 2023. For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) public copyright license to any Author Accepted Manuscript (AAM) version arising from this submission. | en_GB |
dc.title | The carbon sink of secondary and degraded humid tropical forests | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2023-10-03T09:29:03Z | |
dc.identifier.issn | 0028-0836 | |
exeter.place-of-publication | England | |
dc.description | This is the author accepted manuscript. The final version is available from Nature Research via the DOI in this record | en_GB |
dc.description | Data availability: All the original datasets used in this research are publicly available from their sources: JRC-TMF dataset4 (https://forobs.jrc.ec.europa.eu/TMF/download/); ESA-CCI AGB/AGC map7 (https://catalogue.ceda.ac.uk/uuid/84403d09cef3485883158f4df2989b0c); Descal et al. (2021) oil palm map53 (https://developers.google.com/earth-engine/datasets/catalog/BIOPAMA_GlobalOilPalm_v1#description); TerraClimate Maximum Temperature59 (https://developers.google.com/earth-engine/datasets/catalog/IDAHO_EPSCOR_TERRACLIMATE); MCWD data can be produced by combining monthly rainfall dataset from Funk et al.61 (https://edcintl.cr.usgs.gov/downloads/sciweb1/shared/fews/web/global/monthly/chirps/final/downloads/monthly/) with code from Silva Junior and Campanharo (2019)60; HAND data69 (https://code.earthengine.google.com/ed75ecef7fcf94897b74ac56bfbb3f43); Xu et al. Peatland dataset67 (https://archive.researchdata.leeds.ac.uk/251/); MapBiomas dataset70 (https://amazonia.mapbiomas.org/) and the code to extract secondary forest area and age58; logging concession areas71 (https://data.globalforestwatch.org/documents/managed-forest-concessions-downloadable/explore). Both the Tmax and HAND indices were pre-processed in GEE. Country boundaries shown in map-based figures (http://thematicmapping.org/downloads/world_borders.php)72. All final data produced in this study are available in a public repository (https://zenodo.org/record/7515854#.Y8kVQEFxeUk)73. Source data are provided with this paper. | en_GB |
dc.description | Code availability: All code used to produce the main figures of the paper are available in a public repository (https://zenodo.org/record/7515854#.Y8kVQEFxeUk)73. Source data are provided with this paper. | en_GB |
dc.identifier.eissn | 1476-4687 | |
dc.identifier.journal | Nature | en_GB |
dc.relation.ispartof | Nature, 615(7952) | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2022-12-16 | |
rioxxterms.version | AM | en_GB |
rioxxterms.licenseref.startdate | 2023-03 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2023-10-03T09:19:18Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2023-10-03T09:29:04Z | |
refterms.panel | C | en_GB |
refterms.dateFirstOnline | 2023-03-15 |
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Except where otherwise noted, this item's licence is described as © The Author(s), under exclusive licence to Springer Nature Limited 2023. For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) public copyright license to any Author Accepted Manuscript (AAM) version arising from this submission.