land use change, pasture, man made, UPR, ecoinvent 3.6, Allocation, cut-off

Categories:
ISIC4 categories:
L:Real estate activities/68:Real estate activities
Location:
BR-RO
Reference year: 2014 - 2019
Description

Reference product: land use change, pasture, man made [ha]
Location: BR-RO - Brazil, Rondônia
This dataset represents the impacts associated to 1 ha of land use change (LUC), split between change from annual cropland, perennial cropland, primary forest, grassland, pasture man made, sugarcane and forest intensive. This dataset is specific to the country and to pasture, man made.
The dataset further includes the (management practice specific) occupation impacts, i.e. the loss of soil organic carbon (SOC) - based on SOCref values of Bernoux, 2001 and stock change factors of IPCC, 2006, weighted according to management and climate categories occurrence per state (Novaes, 2017) - and nitrous oxide (N2O). The types of exchanges, their emission and calculation factors and mathematical relations are the same from land transformations datasets 'land use change, annual crop, BR, 2010 - 2015' and 'land use change, perennial crop, BR, 2010 - 2015', available in Ecoinvent database (Rossi, 2017a,b).
The amount of this product to take into account as input to the crop inventory is dependent on the percentage of expansion and productivity of the specific crop in the Brazilian state considered. The percentage of expansion can be retrieved from Novaes, et al 2017, Appendix S2, tab 'Search results', box 5. More details in the Ecoinvent's Consideration of LUC report.
Bibliography is listed below:
- Bernoux, M., Carvalho, M. D. S., Volkoff, B., & Cerri, C. C. (2001). CO2 emission from mineral soils following land-cover change in Brazil. Global Change Biology, 7, 779–787.
- Brazil (2016) Third National Communication of Brazil to the United Nations Framework Convention on Climate Change – Volume III. Ministry of Science, Technology and Innovation, Brasília.
- IPCC (2006). 2006 IPCC Guidelines for national greenhouse gas inventories, prepared by the national greenhouse gas inventories programme. Eggleston H.S., Buendia L., Miwa K., Ngara T. and Tanabe K. (eds). IGES, Japan.
- Novaes RML, Pazianotto RA, Brandao M, Alves BJR, May A, Folegatti-Matsuura MIS. 2017. Estimating 20-year landuse change and derived CO2 emissions associated with crops, pasture and forestry in Brazil and each of its 27 states. Glob Change Biol. 23:3716–3728 .doi.org/10.1111/gcb.13708
- Rossi V, 2017a, land use change, annual crop, BR, Undefined, ecoinvent database version 3.3. Accessed in September, 2017
- Rossi V, 2017b, land use change, perennial crop, BR, Undefined, ecoinvent database version 3.3. Accessed in September, 2017
[This dataset has been generated using the system model "Allocation, cut-off by classification". A system model describes how activity datasets are linked to form product systems. The allocation cut-off system model subdivides multi-product activities by allocation, based on a physical properties, economic, mass or other properties. By-products of waste treatment processes are cut-off, as are all by-products classified as recyclable. Markets in this model include all activities in proportion to their current production volume.
Version 3 of the ecoinvent database offers three system models to choose from. For more information, please visit: https://www.ecoinvent.org/database/system-models-in-ecoinvent-3/system-…)]

Process type
Unit
Supported nomenclature
ecoinvent 3.6
LCI modeling approach
Attributional
Multifunctional modeling
ECONOMIC
Format
ECOSPOLD2
Aggregation type
NOT_APPLICABLE
Data provider
ecoinvent
Review status
External
Cost
For sale
License

ecoinvent EULA