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  Can intensification of cattle ranching reduce deforestation in the Amazon? Insights from an agent-based social-ecological model

Müller-Hansen, F., Heitzig, J., Donges, J. F., Cardoso, M. F., Dalla-Nora, E. L., Andrade, P., Kurths, J., Thonicke, K. (2019): Can intensification of cattle ranching reduce deforestation in the Amazon? Insights from an agent-based social-ecological model. - Ecological Economics, 159, 198-211.
https://doi.org/10.1016/j.ecolecon.2018.12.025

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_22925 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_22925_5
Genre: Journal Article

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 Creators:
Müller-Hansen, Finn1, Author              
Heitzig, Jobst1, Author              
Donges, Jonathan Friedemann1, Author              
Cardoso, M. F.2, Author
Dalla-Nora, E. L.2, Author
Andrade, P.2, Author
Kurths, Jürgen1, Author              
Thonicke, Kirsten1, Author              
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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 Dates: 2019
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.ecolecon.2018.12.025
PIKDOMAIN: RD4 - Complexity Science
PIKDOMAIN: RD1 - Earth System Analysis
eDoc: 8363
Research topic keyword: Complex Networks
Research topic keyword: Economics
Research topic keyword: Land use
Model / method: Agent-based Models
Regional keyword: South America
Organisational keyword: FutureLab - Game Theory & Networks of Interacting Agents
Organisational keyword: RD4 - Complexity Science
Organisational keyword: RD1 - Earth System Analysis
Organisational keyword: FutureLab - Earth Resilience in the Anthropocene
Working Group: Ecosystems in Transition
Working Group: Whole Earth System Analysis
Working Group: Network- and machine-learning-based prediction of extreme events
OATYPE: Green Open Access
 Degree: -

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Title: Ecological Economics
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 159 Sequence Number: - Start / End Page: 198 - 211 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals107