Modelling deforestation and its intraregional interactions in the Brazilian Amazon: market pressure versus public policies Amazônia em Perspectiva: Por.

Slides:



Advertisements
Similar presentations
TerraME - A modeling Environment for non-isotropic and non-homogeneous spatial dynamic models development TIAGO GARCIA CARNEIRO ANA PAULA AGUIAR MARIA.
Advertisements

Paulo Artaxo, Luciana Rizzo, Joel F. Brito, Henrique Barbosa, Andrea Arana, Elisa T. Sena, Glauber G. Cirino, Wanderlei Bastos, Scot Martin, Meinrat O.
Land policies in Brazil: Questions of interest Gilberto Câmara, INPE Licence: Creative Commons ̶̶̶̶ By Attribution ̶̶̶̶ Non Commercial ̶̶̶̶ Share Alike.
Modelling Human-Environment Interactions: Theories and Tools Gilberto Câmara Licence: Creative Commons ̶̶̶̶ By Attribution ̶̶̶̶ Non Commercial ̶̶̶̶ Share.
THE ROLE OF SETTLEMENTS IN EXTENDED AMAZONIAN URBAN TISSUE Antônio M. V. Monteiro 1, Ana Paula Dal Asta 1, Carolina M. D. de Pinho 1, Fernanda R. Soares.
QUICKScan A Participatory Spatial Analysis Tool to Facilitate Policy Assessments Peter Verweij, Michiel van Eupen Geospatial world forum – policy/research.
Understanding Land Change in Amazonia: A Multidisciplinary Research Challenge Gilberto Câmara Director National Institute for Space Research Brazil IGERT.
Land Use Change in Amazonia: Institutional analysis and modeling at multiple temporal and spatial scales Gilberto Câmara, Ana Aguiar, Roberto Araújo, Patrícia.
1 Implications of the climate change debate on land tenure in the Amazon Paulo Barreto Senior Researcher at Imazon.
Cattle Ranching, Land Use And Deforestation: Comparative Analysis of Brazil, Ecuador and Peru.
Globalization, Deforestation, and the Expansion of the Cattle Industry into the Brazilian Amazon John O. Browder (Virginia Tech) Robert T. Walker (Michigan.
Brazilian Amazon Deforestation and Land Governance Bastiaan Reydon, Vitor Bukvar Fernades NEA, UNICAMP, BRASIL
Causal Forces of Deforestation in the Brazilian Amazon: Does Size Matter? Diana Weinhold London School of Economics Eustaquio Reis Institute for Applied.
Linking policies through land use scenarios to ecosystem services loss Ana Paula Dutra de Aguiar Eloi Lennon Dalla Nora São José dos Campos, April of 2014.
Biofuel production in Brazil: challenges for land use policy Gilberto Câmara Dialogo Brasil-Alemanha de Ciencia e Inovação Licence: Creative Commons ̶̶̶̶
Working at a global scale: challenges for a worldwide tropical forest monitoring system Gilberto Câmara General Director National Institute for Space Research.
A business case to reduce rural poverty through targeted investments in water in sub-Saharan Africa WWF5 Session How can food market measures boost.
Interactions between Global Supply Chains, Land Use, & Governance: The Case of Soybean Production in South America Rachael D. Garrett Postdoctoral Fellow.
Eduardo Mondlane UniversityInstitute for Water Resource, Rhodes University PhD Proposal-Progress Agostinho Vilanculos Supervisors: - Prof. Denis Hughes.
Predicting land use changes in the Lake Balaton catchment (Hungary) Van Dessel Wim 1, Poelmans Lien 1, Gyozo Jordan 2, Szilassi Peter 3, Csillag Gabor.
Modelling Human-Environment Interactions: Theories and Tools Gilberto Câmara Licence: Creative Commons ̶̶̶̶ By Attribution ̶̶̶̶ Non Commercial ̶̶̶̶ Share.
Mapping the future Converting storylines to maps Nasser Olwero GMP, Bangkok April
How to include Human Actions in Earth System Science Modelling? Gilberto Câmara Earth System Science Centre, INPE Workshop.
Theme 2 – From policy to impact Celso von Randow, Ana Paula Aguiar, Kirsten Thonicke, Eloi Dalla-Nora, Dorian Frieden, + DGVM groups.
FORECOM Project meeting May 2014 Forest cover change modelling: future scenarios.
Mapping burned scars in Amazon region using MODIS data Big Bear Lake, California, USA, André Lima Yosio Edemir Shimabukuro Luiz Eduardo Aragão SCGIS.
TIAGO GARCIA CARNEIRO ANA PAULA AGUIAR GILBERTO CÂMARA ANTÔNIO MIGUEL MONTEIRO TerraME - A tool for spatial dynamic modelling LUCC Workshop Amsterdam,
Valuing the forest carbon stocks of the Brazilian Amazon Universidade Federal de Minas Gerais UF G Woods Hole Research Center IPAM – INSTITUTO DE PESQUISA.
Spatial Interpolators to generate Population Density Surfaces in the Brazilian Amazon: problems and perspectives Silvana Amaral Antonio Miguel V. Monteiro.
Cost-benefit analysis of road construction considering deforestation, Brazil David Schley Will Diaz.
A Decade of Progress in Modeling the Hydroclimatology of the Amazon System Marcos Heil Costa Universidade Federal de Viçosa III LBA Scientific Conference.
Fonds National de la Recherche Scientifique Université Catholique de Louvain Roads : a proximate or underlying cause of deforestation ? Marie Scouvart,
Why such a tremendous expansion of cattle ranching in the Amazon? The Eastern Brazilian Amazon case (Para State) Jonas Bastos da Veiga (Embrapa Amazônia.
Trends in Amazon land change Gilberto Câmara National Institute for Space Research Brazil
ESPON Territorial Impacts of EU Economic Policies and Location of Economic Activities.
Roads and deforestation in the Central Peruvian Amazon Glenn Hyman and Elizabeth Barona, International Center for Tropical Agriculture (CIAT), Cali, Colombia.
Figure 1 – Image of Amazon Basin There is a very sharp increase in the atmospheric aerosol loading during the biomass burning season, that is observed.
Land change modelling Gilberto Câmara, Pedro Andrade Licence: Creative Commons ̶̶̶̶ By Attribution ̶̶̶̶ Non Commercial ̶̶̶̶ Share Alike
Evaluation of the Action Plan to Prevent and Control the Deforestation in the Brazilian Amazon ( ) Jorge Hargrave EEEN Forum 2012 Leuven, January.
Trajectories of Land Use in the Brazilian Amazon LBA ECO Science Team Meeting November 2005, São Paulo D.S Alves (  ), M. Batistella (  ), E. Moran,
An Adaptive Management Model for the Red River Basin of the North.
Value chain governance and national forest conservation policies: Scope and limitations Jan Börner 1,2, and Sven Wunder 2 1 Center for Development Research,
Institutional Dimensions and Land-Cover Change: social groups, time of settlement, property size, and location and access affecting intra-regional variation.
Trends in Amazon land change and possible consequences for REDD+ Gilberto Câmara National Institute for Space Research Brazil
“Physical and Anthropogenic Controls of the Biogeochemistry of the Ji-Paraná River Basin (Western Amazônia)” 1 Ballester, M.V.R.; 1 Krusche, A.V.; 1 Kavaguishi,
Maria del Carmen Vera-Diaz Robert K. Kaufmann Daniel C. Nepstad Peter Schlesinger MODELING SOYBEAN EXPANSION INTO AMAZON BASIN Institutions: Funding: Conference.
Land Use and human- enviroment interactions in Amazonia Gilberto Câmara National Institute for Space Research (INPE) FAPESP 50 Years Symposium, 2011.
Dynamic coupling of multiscale land change models: interactions and feedbacks across regional and local deforestation models in the Brazilian Amazonia.
IDENTIFYING THE ROLE OF CROP PRODUCTION IN LAND COVER CHANGE IN BRAZIL SINCE 1990 Elizabeth Barona A. Supervisor: Navin Ramankutty – Glenn Hyman Committee:
Logging roads in the Amazon Basin: building process and modeling challenges Eugenio Arima Robert Walker Stephen Perz Marcellus Caldas Department of Geography.
Introduction to Enviromental Modelling Lecture 1 – Basic Concepts Gilberto Câmara Tiago Carneiro Ana Paula Aguiar Sérgio Costa Pedro Andrade Neto.
Land Use and Transportation Costs in the Brazilian Amazon Diana Weinhold, LSE Eustaquio Reis, IPEA LBA III Conferencia, Brasilia July 28, 2004 "Economists.
The WOTRO Integrated Programme: ‘Vulnerability and resilience of the Brazilian Amazon forests and human environment to changes in land-use and climate’
EMISSIONS OF NOx AND N 2 O FROM OXISOL CULTIVATED WITH COTTON IN THE CERRADO REGION, BRAZIL Êrika Fernandes (CEFET/BA - UnB) Mercedes Bustamante (UnB)
Contribution of Agricultural Expansion to Mato Grosso Deforestation LC22: Douglas Morton, Yosio Shimabukuro, Ruth DeFries, Liana Anderson, Egidio.
Protected Areas in the Brazilian Amazon: Performance, Pressure, and Efficacy Christopher P. Barber Mark A. Cochrane (advisor) Geographic Information Science.
Integrated Assessment. Assessment modes Strategy assessments Sectoral assessments Program and project level assessments So what is an “integrated assessment”?
Heterogeneity in Road-building Processes & Road Network Architecture: A Comparative Analysis Stephen Perz, Marcellus Caldas, Robert Walker, Carlos Souza.
Challenges for land use policy in Brazil Gilberto Câmara Dialogo Brasil-Alemanha de Ciencia e Inovação Licence: Creative Commons ̶̶̶̶ By Attribution ̶̶̶̶
Eric Vanhaute Ghent University ECNU, July 4th Trajectories of Peasant Transformation. The incorporation and transformation of rural zones.
Characterizing Vegetation Fire Regimes in Brazil Through Adjusted Satellite Fire Detection Data Wilfrid Schroeder, Jeffrey T.Morisette, Louis Giglio, Ivan.
ELEMENTS FOR BRAZIL´S NATIONAL REDD+ STRATEGY Leticia Guimarães, REDD+ Focal Point Climate Change and Environmental Quality Secretariat Ministry of Environment.
IPAM Brazil: Marcelo C. C. Stabile GIZ Brazil: Bettina Kupper
Model Summary Fred Lauer
Gabriel Granco Department of Geography
Deforestation in the Brazilian Amazon
Eric Vanhaute Ghent University WHA Conference Beijing, July 10th 2011
Evaluating agricultural value chain programs: How we mix our methods
Physical Features of Brazil
Project Duration: 3 years
Presentation transcript:

Modelling deforestation and its intraregional interactions in the Brazilian Amazon: market pressure versus public policies Amazônia em Perspectiva: Por uma Ciência Integrada Conferência Científica Internacional LBA, GEOMA & PPBio 17 a 20 de novembro, Manaus - Amazonas – Brasil Giovana Mira de Espindola (INPE) Advisors: Dra. Ana Paula Aguiar (INPE) Dr. Gilberto Câmara (INPE)..

Motivation Objectives Study Area and Scales Methodological Approaches SUMMARY

MOTIVATION Based on previous results (AGUIAR, 2006), we need to further understand: Interaction between processes that act on different scales Intraregional interactions of market pressure, policies, connectivity, and institutional aspects The role of connectivity to markets in different contexts

Demand: Is related to external market forces, increase and decrease are proxies of market constraints Variables: Scale 25 x 25 km 2 –Percentage of protected areas –Connection to national markets –Distance to paved roads –Distance to unpaved roads Scale 100 x 100 km 2 –Distance to roads –Average humidity –Percentage of fertility soils CLUE MODEL

Comparison to real data and new frontiers process knowledge Alternative CLUE runs from 1997 to 2020 SCENARIO EXPLORATION Linking Patterns to Process Knowledge

Federative States 0%100% Deforestation Pattern in 1997 (25 x 25 km 2 )

Paved Roads in 2010 Unpaved Roads Main Rivers 0.0 – – – – – – – – – – 1.0 % Change 1997 to 2020 Baseline Scenario A – Hot Spots of Deflorestation from 1997 to 2020 São Felix/Iriri (Terra do Meio) BR-163 (Cuiabá-Santarém) South of Amazonas BR-319 (Porto Velho-Manaus) New frontiers in Central Amazon:

ALAP BR – – – – – – – – – – 1.0 % Change 1997 to 2020 Baseline Scenario A – Hot Spots of Deflorestation from 1997 to 2020 Paved Roads in 2010 Unpaved Roads Main Rivers

ALAP BR-319 New Protected Areas (2007) New Areas of Sustainable Use (2007) Baseline Scenario A – Hot Spots of Deflorestation from 1997 to – – – – – – – – – – 1.0 % Change 1997 to 2020 Paved Roads in 2010 Unpaved Roads Main Rivers

0.0 – – – – – – – – – – 1.0 % mudança 1997 a 2020: Scenario B – Hot Spots of Deflorestation from 1997 to 2020 – All Areas ALAP BR-319 New Protected Areas (2007) New Areas of Sustainable Use (2007) Paved Roads in 2010 Unpaved Roads Main Rivers

Diminuição : Aumento : Diferences: Diferences – Hot Spots of Deflorestation from 1997 to 2020 ALAP BR-319 Paved Roads in 2010 Unpaved Roads Main Rivers

Interaction between processes that act on different scales: 1)Understand intraregional interactions of market pressure, connectivity, policies and institutional aspects 2)The role of connectivity to markets in different contexts

OBJECTIVES Part 1: Understand rates of deforestation fluctuation since 2000 considering market versus policies in different contexts. Part 2: Compare statistical analysis using 2006 Agricultural Census to understand spatial determining factors in comparison to 1996 (AGUIAR, 2006). Part 3: Construct new multiscale models and scenarios for Amazon for specific land uses (pasture, mechanized agriculture, familiar agriculture).

STUDY AREA AND SCALES PA-279/SFX and BR-163/Santarém North of MT, South of Amazonas

METHODOLOGICAL APPROACHES Part 1: Understand rates of deforestation fluctuation since 2000 considering market versus policies in different contexts. Study Area: Focus on selected sites to include heterogeneity of actors and frontiers São Félix, Santarém, South of Amazonas, Mato Grosso. Methods: - Refine connection measures (markets, infrastructure projects). - Factors: Commodities price, land prices, cadastral regulation measures, command and control actions, protected areas. - Field-work, cluster analysis.

METHODOLOGICAL APPROACHES Part 2: Compare statistical analysis using 2006 Agricultural Census to understand spatial determining factors in comparison to 1996 (AGUIAR, 2006). Study Area: Focus on selected sites to include heterogeneity of actors and frontiers São Félix, Santarém, South of Amazonas, Mato Grosso. Methods: - Statistical analysis, regression analysis

METHODOLOGICAL APPROACHES Part 3: Construct new multiscale models and scenarios for Amazon for specific land uses (pasture, mechanized agriculture, familiar agriculture). Study Area: Focus on selected sites to include heterogeneity of actors and frontiers São Félix, Santarém, South of Amazonas, Mato Grosso. Methods: - Multiscale, multi-locality, multi-approach framework in TerraME models (Carneiro, 2006; Moreira et al., 2008)