Policy instruments to control Amazon fires: A simulation approach

Authored by Thiago Fonseca Morello, Luke Parry, Nils Markusson, Jos Barlow

Date Published: 2017

DOI: 10.1016/j.ecolecon.2017.03.043

Sponsors: No sponsors listed

Platforms: NetLogo

Model Documentation: ODD Flow charts

Model Code URLs: https://ars-els-cdn-com.ezproxy1.lib.asu.edu/content/image/1-s2.0-S092180091530687X-mmc2.zip

Abstract

Agricultural fires are a double-edged sword that allow for cost-efficient land management in the tropics but also cause accidental fires and emissions of carbon and pollutants. To control fires in Amazon, it is currently unclear whether policy-makers should prioritize command-and-control or incentive-based instruments such as REDD+. Aiming to generate knowledge about the relative merits of the two policy approaches, this paper presents a spatially-explicit agent-based model that simulates the causal effects of four policy instruments on intended and unintended fires. All instruments proved effective in overturning the predominance of highly profitable but risky fire-use and decreasing accidental fires, but none were free from imperfections. The performance of command-and-control proved highly sensitive to the spatial and social reach of enforcement. Side-effects of incentive-based instruments included a disproportionate increase in controlled fires and a reduced acceptance of conservation subsidies, caused by the prohibition of reckless fires, and also indirect deforestation. The instruments that were most effective in reducing deforestation were not the most effective in reducing fires and vice versa, which suggests that the two goals cannot be achieved with a single policy intervention. (C) 2017 Published by Elsevier B.V.

Tags

Agent-based modelling Agent-based model Amazon Land-use Land use Environmental policy shifting cultivation Odd protocol Fire Brazilian amazon Eastern amazon Tropical forests Slash-and-burn Environmental services Direct payments