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Data for Sustainable Agricultural Intensification and Climate Change in Brazil, 1996-2030
Creator
Moran, D, University of Edinburgh
De Oliveira Silva, R, University of Edinburgh
Barioni, L, EMBRAPA
Study number / PID
855046 (UKDA)
10.5255/UKDA-SN-855046 (DOI)
Data access
Open
Series
Not available
Abstract
This data collection consists of bioeconomic parameters useful for modelling sustainable farm systems in Brazil. The data is based on representative systems for the Amazon, Cerrado and the Atlantic Forest biomes and state level (UF) data. Examples of data include life cycle assessment emission factors for farm inputs, costs of pasture restoration ("Pasture restoration Costs and LCA"), projected pasture expansion and associated greenhouse gases emissions (1997-2030) ("GHG 1997-2030") and climate change vulnerability for pasturelands in Brazil, measures as dry-matter deficits (2000-2085) ("ClimateChangeVulnerability_avg").Brazil is an important player in the international debate about food security, food production and the need to develop production methods that minimise climate impacts, land use changes and loss of tropical forests and biodiversity. These sometimes competing objectives and the damaging role of some forms of livestock production in particular, have led some commentators to suggest that a process of sustainable agricultural intensification is necessary to produce more outputs from less inputs, especially land, which has traditionally been abundant in Brazil. This new sustainable intensification agenda is an important element of a wider green growth debate in the UK and increasingly in Brazil and other emerging economies. This project considers the nexus of trade-offs inherent in the need for Brazil to sustainably intensify agricultural production to avoid local and global external costs in terms of greenhouse gas emissions from livestock production and direct and indirect land use change (by deforestation) and associated loss of biodiversity and ecosystem services. The wider context for this imperative is the increasing global demand for food production and Brazil's ambition to maintain its pre-eminent status as a global food commodity exporter, while maintaining domestic food security and social equality. Global climate change creates an additional...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
06/03/2018 - 31/08/2019
Country
United Kingdom
Time dimension
Not available
Analysis unit
Geographic Unit
Universe
Not available
Sampling procedure
Not available
Kind of data
Numeric
Data collection mode
Bioeconomic data realted to pasture restoration costs and inputs application was obtained via consultation with experts from EMBRAPA (The Brazilian Agricultural Research Corp.)The life cycle assessment (LCA) coefficients were calculated as national average values using SIMAPRO and ECOINVENT data base.Climate change vulnerability of grasslands (2000 - 2085) were obtained from the regional climate model RegCM4 (Llopart et al., 2014) forced with the global climate model HadGEM2 (from the CMIP5, https://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip5) Llopart et al. (2014) Climatic Change, 124, 1573-1480 (https://doi.org/10.1007/s10584-014-1140-1).
Funding information
Grant number
ES/N013255/2
Access
Publisher
UK Data Service
Publication year
2021
Terms of data access
The Data Collection is available to any user without the requirement for registration for download/access.