A hybrid optimization-agent-based model of REDD+ payments to households on an old deforestation frontier in the Brazilian Amazon

T.A.P. West; K.A. Grogan; M.E. Swisher; J.L. Caviglia-Harris; E. Sills; D. Harris; D. Roberts; F.E. Putz

doi:10.1016/j.envsoft.2017.11.007

A hybrid optimization-agent-based model of REDD+ payments to households on an old deforestation frontier in the Brazilian Amazon

T.A.P. West, K.A. Grogan, M.E. Swisher, J.L. Caviglia-Harris, E. Sills, D. Harris, D. Roberts, F.E. Putz

Research output: Contribution to Journal › Article › Academic › peer-review

Abstract

© 2017 Elsevier LtdREDD+ was initially conceived of as a multi-level carbon-based payment for environmental services (PES). It is still often assumed to be a cost-effective climate change mitigation strategy, but this assumption is mostly based on theoretical studies and static opportunity cost calculations. We used spatial and socioeconomic datasets from an Amazonian deforestation frontier in Brazil to construct a simulation model of REDD + payments to households that can be used to assess REDD + interventions. Our SimREDD + model consists of dynamic optimization and land-use/cover change allocation submodels built into an agent-based model platform. The model assumes that households maximize profit under perfect market conditions and calculates the optimal household land-use/cover configuration at equilibrium under a given REDD + PES scenario. These scenarios include PES based on (1) forest area and (2) carbon stocks. Insights gained from simulations under different conditions can assist in the design of more effective, efficient, and equitable REDD + programs.

Original language	English
Pages (from-to)	159-174
Journal	Environmental Modelling and Software
Volume	100
DOIs	https://doi.org/10.1016/j.envsoft.2017.11.007
Publication status	Published - 1 Feb 2018
Externally published	Yes

Funding

This research was funded by the National Science Foundation (grant SES-0752936 ∖). Additional funds to the first author were provided by the Brazilian National Counsel of Technological and Scientific Development (CNPq; grant 201138/2012-3 ), the William C. and Bertha M. Cornett Fellowship and the Tropical Conservation and Development Graduate Assistantship at the University of Florida , and the World Wildlife Fund's Prince Bernhard Scholarship for Nature Conservation.

Funders	Funder number
William C. and Bertha M. Cornett Fellowship
National Science Foundation	SES-0752936 ∖
World Wildlife Fund
Conselho Nacional de Desenvolvimento Científico e Tecnológico	201138/2012-3

Access to Document

10.1016/j.envsoft.2017.11.007

Persistent URL (handle)

Persistent link

Cite this

@article{69e9e7fc757842aa8d5a317824f1616d,

title = "A hybrid optimization-agent-based model of REDD+ payments to households on an old deforestation frontier in the Brazilian Amazon",

abstract = "{\textcopyright} 2017 Elsevier LtdREDD+ was initially conceived of as a multi-level carbon-based payment for environmental services (PES). It is still often assumed to be a cost-effective climate change mitigation strategy, but this assumption is mostly based on theoretical studies and static opportunity cost calculations. We used spatial and socioeconomic datasets from an Amazonian deforestation frontier in Brazil to construct a simulation model of REDD + payments to households that can be used to assess REDD + interventions. Our SimREDD + model consists of dynamic optimization and land-use/cover change allocation submodels built into an agent-based model platform. The model assumes that households maximize profit under perfect market conditions and calculates the optimal household land-use/cover configuration at equilibrium under a given REDD + PES scenario. These scenarios include PES based on (1) forest area and (2) carbon stocks. Insights gained from simulations under different conditions can assist in the design of more effective, efficient, and equitable REDD + programs.",

author = "T.A.P. West and K.A. Grogan and M.E. Swisher and J.L. Caviglia-Harris and E. Sills and D. Harris and D. Roberts and F.E. Putz",

year = "2018",

month = feb,

day = "1",

doi = "10.1016/j.envsoft.2017.11.007",

language = "English",

volume = "100",

pages = "159--174",

journal = "Environmental Modelling and Software",

issn = "1364-8152",

publisher = "Elsevier Ltd",

}

TY - JOUR

T1 - A hybrid optimization-agent-based model of REDD+ payments to households on an old deforestation frontier in the Brazilian Amazon

AU - West, T.A.P.

AU - Grogan, K.A.

AU - Swisher, M.E.

AU - Caviglia-Harris, J.L.

AU - Sills, E.

AU - Harris, D.

AU - Roberts, D.

AU - Putz, F.E.

PY - 2018/2/1

Y1 - 2018/2/1

N2 - © 2017 Elsevier LtdREDD+ was initially conceived of as a multi-level carbon-based payment for environmental services (PES). It is still often assumed to be a cost-effective climate change mitigation strategy, but this assumption is mostly based on theoretical studies and static opportunity cost calculations. We used spatial and socioeconomic datasets from an Amazonian deforestation frontier in Brazil to construct a simulation model of REDD + payments to households that can be used to assess REDD + interventions. Our SimREDD + model consists of dynamic optimization and land-use/cover change allocation submodels built into an agent-based model platform. The model assumes that households maximize profit under perfect market conditions and calculates the optimal household land-use/cover configuration at equilibrium under a given REDD + PES scenario. These scenarios include PES based on (1) forest area and (2) carbon stocks. Insights gained from simulations under different conditions can assist in the design of more effective, efficient, and equitable REDD + programs.

AB - © 2017 Elsevier LtdREDD+ was initially conceived of as a multi-level carbon-based payment for environmental services (PES). It is still often assumed to be a cost-effective climate change mitigation strategy, but this assumption is mostly based on theoretical studies and static opportunity cost calculations. We used spatial and socioeconomic datasets from an Amazonian deforestation frontier in Brazil to construct a simulation model of REDD + payments to households that can be used to assess REDD + interventions. Our SimREDD + model consists of dynamic optimization and land-use/cover change allocation submodels built into an agent-based model platform. The model assumes that households maximize profit under perfect market conditions and calculates the optimal household land-use/cover configuration at equilibrium under a given REDD + PES scenario. These scenarios include PES based on (1) forest area and (2) carbon stocks. Insights gained from simulations under different conditions can assist in the design of more effective, efficient, and equitable REDD + programs.

U2 - 10.1016/j.envsoft.2017.11.007

DO - 10.1016/j.envsoft.2017.11.007

M3 - Article

SN - 1364-8152

VL - 100

SP - 159

EP - 174

JO - Environmental Modelling and Software

JF - Environmental Modelling and Software

ER -

A hybrid optimization-agent-based model of REDD+ payments to households on an old deforestation frontier in the Brazilian Amazon

Abstract

Funding

Access to Document

Persistent URL (handle)

Fingerprint

Cite this