Selecting exceptional tropical tree species to increase long-term carbon storage
Data files
Oct 10, 2023 version files 2.17 MB
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Data_S1_BAAD_Data.csv
1.37 MB
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Data_S2_Author_Unpublished_Data.csv
795.80 KB
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README.md
3.40 KB
Oct 23, 2023 version files 2.17 MB
Abstract
- With rising atmospheric CO2 concentrations, strategies for greater carbon sequestration and long-term storage are urgently needed. Current reforestation schemes typically use fast-growing tree species with low wood density, limiting the amount of carbon stored. In most tropical forests, there are native species with relatively fast growth rates, high wood density, and low mortality rates that also achieve large adult size — ‘exceptional species.’
- We present a simulated assessment of the carbon sequestration potential using these exceptional species selected based on a given set of criteria in assisted secondary succession in the Neotropics.
- In our example, our selected exceptional species could add up to 16.2 Mg C/ha of sequestered carbon in secondary wet forests at maturity.
- Synthesis and applications. By increasing the representation of exceptional species in reforestation efforts, we could potentially boost long-term carbon storage in reforestation projects focused on carbon sequestration. However, our approach is not a substitute for protecting existing old primary forests and reforested lands plus reducing deforestation and emissions.
README: Selecting exceptional tropical tree species to increase long-term carbon storage
Journal name: Journal of Applied Ecology
Corresponding Author
Name: Anna Sugiyama
Email address: a.sugiyama@landlifecompany.com
Affiliation when the work was conducted: Yale University
Present affiliation: Land Life Company
Abstract: Two data files associated with the article "Planting exceptional tropical tree species to increase long-term carbon storage in assisted secondary succession" by Anna Sugiyama, Edward T. Game, S. Joseph Wright published in Journal of Applied Ecology (2023).
Dataset S1: Leaf mass and diameter at breast height (dbh) data in the Biomass And Allometry Database by Falster et al. (2015) used to calculate the leaf mass of one planted tree.
Number of variables: 10
Empty cells: cells were left empty when data were not available
Variables:
- species: standardized species name (genus species) as of April 12, 2021; data type: string; units: NA
- latitude: latitude of location where sampled (-90 to 90 deg South to North); data type: numeric; units: deg
- longitude: longitude of location where sampled (-180 to 180 West to East); data type: numeric, units: deg
- vegetation: vegetation type where sampled if grown under the wild condition (left blank for plantations, glasshouse, or common garden): Sav = Savannah; TropRF = Tropical rainforest; TempRF = Temperate rainforest; TropSF = Tropical seasonal forest; TempF = Temperate forest; BorF = Boreal forest; Wo = Woodland; Gr = Grassland; Sh = Shrubland; De = Desert; data type: string; units: NA
- m.lf: leaf mass; data type: numeric; units: kg
- a.lf: leaf area of whole plant; data type: numeric; units: m2
- d.bh: dbh of the stem; data type: numeric; units: m
- pft: plant functional type: EA = evergreen angiosperm; DA = deciduous angiosperm; EG = evergreen gymnosperm; DG = deciduous gymnosperm
- status: position in forest canopy (wild grown plants only): 0 = suppressed; 1 = intermediate; 2 = codominant (crown partly exposed); 3 = dominant (crown fully exposed); data type: string; units: NA
- h.t: total height of plant from ground to the highest leaf; data type: numeric; units: m
Dataset S2: Unpublished tree data by the authors that were not available elsewhere at the time of publication
Number of variables: 10
Empty cells: cells were left empty when data were not available
Variables:
- Species: standardized species name (genus species) as of April 12, 2021; data type: string; units: NA
- Family: family of the species; data type: string; units: NA
- Latitude: latitude of location where sampled (-90 to 90 deg South to North); data type: numeric; units: deg
- Longitude: longitude of location where sampled (-180 to 180 West to East); data type: numeric, units: deg
- Region: geographic region based on the available data: Africa, Asia, Europe, Latin America, North America, Oceania, any combinations of them, or Unknown; data type: string; units: NA
- Tropics: indicates whether the species was recorded in the tropics in at least one data source: Yes, No, or Unknown; data type: string; units: NA
- DBH: dbh of the tree; data type: numeric; units: cm
- Height: height of the tree; data type: numeric; units: m
- Wood density: wood density of the tree; data type: numeric; units: g/cm3
- Data Source: abbreviated data sources for the species; data type: string; units: NA