Life cycle assessment carbon model to determine the net greenhouse gas balance of reforesting one hectare of goldmining-degraded soil in the Peruvian amazon
Default
Identification info
- Metadata Language
- English (en)
- Character set
- utf8
- Dataset Reference Date ()
- 2022-04-25
- Identifier
- doi: / 10.5285/ef45a7de-035a-486c-9cef-ee7f78a8efcf
- Other citation details
- Lefebvre, D. (2022). Life cycle assessment carbon model to determine the net greenhouse gas balance of reforesting one hectare of goldmining-degraded soil in the Peruvian amazon. NERC EDS Environmental Information Data Centre 10.5285/ef45a7de-035a-486c-9cef-ee7f78a8efcf
- Limitations on Public Access
- otherRestrictions
- Other constraints
- no limitations
- Use constraints
- otherRestrictions
- Use constraints
- otherRestrictions
- Other constraints
- If you reuse this data, you should cite: Lefebvre, D. (2022). Life cycle assessment carbon model to determine the net greenhouse gas balance of reforesting one hectare of goldmining-degraded soil in the Peruvian amazon. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/ef45a7de-035a-486c-9cef-ee7f78a8efcf
- Topic category
-
- Environment
Distribution Information
- Data format
-
-
R code
()
-
R code
()
- Resource Locator
-
Download the data
Download a copy of this data
- Resource Locator
-
Supporting information
Supporting information available to assist in re-use of this dataset
- Resource Locator
-
Download the data
Download a copy of this data
- Resource Locator
-
Supporting information
Supporting information available to assist in re-use of this dataset
- Quality Scope
- application
- Other
- application
Report
- Dataset Reference Date ()
- 2010-12-08
- Statement
- LCA activity and soil and characteristics were provided by the ‘Centro de Innovacion Cientifica Amazonica’ (CINCIA), a non-profit organization located in the Peruvian amazon. Emission factors were collected in the EcoInvent 3.7 and U.S. Life Cycle Inventory (USLCI) databases in SimaPro software v8.3. Soil carbon stock changes over time was modelled using the Rohamsted Carbon (RothC) model found inside the SoilR package in R. The above-ground carbon model uses the moist forest, non-plantation model reported in Busch et al. (2019) (https://doi.org/10.1038/s41558-019-0485-x), which simulates tropical secondary forests above-ground growth based on data from 829 tropical forest stands. The below-ground carbon model has an evolving root to shoot ratio over time, specific for tropical forests from Waring and Powers (2017). Meteorological data were extracted from the FAO, ClimWat database. All the data necessary to the model are embedded in the model script.
Metadata
- File identifier
- ef45a7de-035a-486c-9cef-ee7f78a8efcf XML
- Metadata Language
- English (en)
- Character set
- ISO/IEC 8859-1 (also known as Latin 1)
- Resource type
- application
- Hierarchy level name
- application
- Metadata Date
- 2024-02-08T17:36:21
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3