BMBF: Carbon sequestration, biodiversity and social structures in Southern Amazonia: models and implementation of carbon-optimized land management strategies
- Status
- completed
- Project begin
- 01.06.2011
- Project end
- 30.09.2016
- Project-Homepage
- www.carbiocial.de
- Keywords
- Brasilien, Klimaänderung, Landnutzung, Modellbildung, MP-MAS, Nachhaltigkeit
Land use, land use changes, and deforestation are responsible for almost 80 % of the national greenhouse gas emissions in Brazil. The dimension of these changes in land use can be seen by simply having a glance out of the window flying over Mato Grosso, Brazil's third largest state. Within a few decades, “unproductive“ shrubland became a wide-ranging, sophisticated, and globalized agriculture comprising a quarter of the corn, one-third of the soybean and half of the cotton cultivation areas in Brazil. Furthermore, approx. one-eighth of Brazilian cattle are raised in Mato Grosso. At the COP 15 conference in Copenhagen in 2009, Brazil announced its intention to reduce almost 40 % of its greenhouse gas emissions, with a focus on the agricultural sector. For this purpose special funding programs were launched in recent years to enable a fast change to low-carbon land-use, so-called integrated systems as well as improvement of range land.
Hohenheim's subproject in CarBioCial researched the effectiveness of the current funding programs in Mato Grosso and other possible strategies for a “land-saving“ intensification of agricultural production.
First, extensive focus groups and farmer surveys were conducted and the complex decision-making situation related to integrated systems and restoration of range land were recorded in detail. Second, the collected data were evaluated with statistical methods and processed for further modeling in bioeconomic simulations. Third, the parameterization and scenario formulation of the simulation models was carried out together with Brazilian research partners and experts from professional agricultural organizations.
Referring to the bioeconomic simulation results on climate-relevant policy measures we found that although the conditions of subsidized credits for integrated farm production systems are very favorable for farmers, there is currently a limited demand for low-carbon systems. Moreover, the spatial agglomeration of agricultural activities, institutional arrangements in land-rental markets as well as non-economic and cultural aspects of farm managers play a major role. Against this background, the reduction of bureaucratic barriers when applying for credit and more applied research together with demonstration experiments are crucial for achieving the emission reduction targets announced by the Brazilian government.
The farm-level data as well as the spatial-econometric land-use analysis created in Hohenheim's subproject are probably the most comprehensive regional data sets in Brazil. Our research provides, for the first time, a comprehensive overview of adoption and diffusion of integrated farm production systems in Mato Grosso. Results have been incorporated in several projects and studies undertaken elsewhere, for example EMBRAPA, IFAD, and University of California – Berkeley.
Involved persons
Involved institutions
- Land Use Economics in the Tropics and Subtropics (Josef G. Knoll Professorship)
- Institute of Agricultural Sciences in the Tropics (Hans-Ruthenberg-Institute)
- Climate Mitigation
Further Information
Sponsors
Publications in the course of the project
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The biophysical and socio-economic dimension of yield gaps in the southern Amazon – A bio-economic modelling approach
2018: Hampf, A., Carauta, M., Latynskiy, E., Libera, A.A.D., Monteiro, L., Sentelhas, P., Troost, C., Berger, T., Nendel, C.
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Oilseed production and sustainable development in northern Brazil: impact on farm income and food security
2011: Finco, M. V. A., Abadio Finco, F. D. B.
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Biodiesel production and regional development in the Brazilian savannah: An application of Positive Mathematical Programming
2011: Finco, M. V. A., Doppler, W.
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Agent-based Modelling in the Agricultural Economics Tradition of Recursive Farm Modelling and Adaptive Micro-Systems
2012: Berger, T., Troost, C.
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Assessment of policies for low-carbon agriculture by means of multi-agent simulation
2014: Latynskiy, E., Berger, T., Troost, C.
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Agent-based Modelling of Climate Adaptation and Mitigation Options in Agriculture
2014: Berger, T., Troost, C.
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Adoption and development of integrated crop–livestock–forestry systems in Mato Grosso, Brazil
2014: Gil, J., Siebold, M., Berger, T.
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Socioeconomic and biophysical dimensions of pasture to crop conversion in the Brazilian agricultural frontier
2015: Gil, J., Cohn, A., Toledo, C., Berger, T.
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Why should farmers in Brazil change to Integrated Agricultural Production Systems?
2016: Dantas, I. R. M., Carauta, M.
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On-Farm trade-offs for optimal agricultural practices in Mato Grosso, Brazil
2016: Carauta, M., Libera, A. A. D., Chen, R. F. F., Hampf, A., Dantas, I. R. M., Silveira, J. M. F. J., Berger, T.
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Integrated assessment of novel two-season production systems in Mato Grosso, Brazil
2016: Carauta, M., Libera, A. A. D., Latynskiy, E., Hampf, A., Silveira, J. M. F. J., Berger, T.
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Evaluation of forest restoration costs in degraded areas and Legal Reserves in Sinop, Brazil
2016: Carauta, K., Carauta, M., Isernhagen, I., Dalfovo, W.
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Determinants of crop-livestock integration in Brazil: Evidence from the household and regional levels
2016: Gil, J. D. B., Garrett, R., Berger, T.
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Combating deforestation in the Brazilian Amazon: Options for national and global governance
2016: Carauta, M.
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Patterns and processes of pasture to crop conversion in Brazil: Evidence from Mato Grosso State
2016: Cohn, A. S., Gil, J., Berger, T., Pellegrina, H., Toledo, C.
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Can preferential credit programs speed up the adoption of low-carbon agricultural systems in Mato Grosso, Brazil? Results from bioeconomic microsimulation
2017: Carauta, M., Latynskiy, E., Mössinger, J., Gil, J., Libera, A. A. D., Hampf, A., Monteiro, L., Siebold, M., Berger, T.
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The Brazilian Program of Biodiesel and its "Pro-Poor" Strategy: Reality or Dream? A Multi-Dimensional Measurement of Poverty using Fuzzy Sets
2011: Finco, M. V. A., Doppler, W.