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Modeling the impacts of policy interventions from REDD+ in Southeast Asia: A case study in Indonesia

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Abstract

Reducing Emissions from Deforestation and Forest Degradation (REDD+) and enhancing “removals of greenhouse gas emissions by forests” in developing countries through positive incentives is regarded as an essential component of the post-2012 climate regime for stabilizing greenhouse gas emissions and an important way of engaging developing countries in global mitigation efforts. We aimed to evaluate the potential effectiveness of REDD+ by integrating it into a land use option framework. One of our goals was to develop scenarios for evaluating the impacts of land use changes on carbon and environmental processes. In addition, we aimed to quantify the potential economic benefits to society of compensated reductions and to identify hotspots for applying REDD+. Three land use change scenarios were examined: (I) business as usual (BAU), (II) economic development, and (III) REDD+. A case study in Indonesia was examined using these land use scenarios and policy interventions, evaluating their effects on carbon emissions, socioeconomics, and environmental features of a spatial system using land use models. Significant emissions and water erosion reductions were predicted to be achieved under the REDD+ scenario, due to reduced deforestation of <6% over the next decade; >0.14 Mt CO2e reduction was predicted relative to the BAU scenario. Furthermore, the spatial land use model indicated that REDD+ payments of forest carbon credits in the compliance market would play a key role in compensating rural communities and plantation companies for their opportunity cost in ending deforestation. This study provides an example of integrating land use modeling with a scenario analysis framework to evaluate plausible future forecasts and to evaluate the potential impacts of REDD+.

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References

  • Angelsen A. 2008. Moving ahead with REDD: Issues, options and implications. Bogor: CIFOR Press. 6

    Google Scholar 

  • Barredo J I, Kasanko M, McCormick N, et al. 2003. Modeling dynamic spatial processes: Simulation of urban future scenarios through cellular automata. Landscape Urban Plan, 64: 145–160

    Article  Google Scholar 

  • Barredo J I, Engelen G. 2010. Land use scenario modeling for flood risk mitigation. Sustainability, 2: 1327–1344

    Article  Google Scholar 

  • Brown S, Sathaye J, Cannell M, et al. 1996. Management of forests for mitigation of greenhouse gas emissions. In: Watson R T, Zinyowera M C, Moss R H, eds. Climate Change 1995: IPCC Second Assessment Report. Cambridge: Cambridge University Press. 775–797

    Google Scholar 

  • Chomitz K M, Buys P, de Luca G, et al. 2006. At loggerheads? Agricultural Expansion, Poverty Reduction, and Environment in the Tropical Forests. Policy Research Report. Washington D C: World Bank Press. 161

    Google Scholar 

  • Cortez R, Stephen P. 2009. Introductory Course on Reducing Emissions from Deforestation and Forest Degradation (REDD): A Participant Resource Manual. The Nature Conservancy. Conservation International, Deutsche Gesellschaft fuer Technische Zusammenarbeit (GTZ), Rainforest Alliance, World Wildlife Fund, Inc. 49–53

    Google Scholar 

  • Dai A G, Fung I. 1993. Can climate variability contribute to the “missing” CO2 sink? Glob Biogeochem Cycl, 7: 599–609

    Article  Google Scholar 

  • Deekshatulu B L, Krishnan R, Novaline J. 1999. Spatial analysis and modelling techniques-A review. Proceedings of Geoinformatics: Beyond 2000 Conference. DehraDun: Indian Institute of Remote Sensing. 268–275

    Google Scholar 

  • DeFries R S, Houghton R A, Hansen M C, et al. 2002. Carbon emissions from tropical deforestation and regrowth based on satellite observations for the 1980s and 1990s. Proc Natl Acad Sci USA, 99: 14256–14261

    Article  Google Scholar 

  • Dushku A, Brown S. 2003. Spatial Modeling of Baselines for LULUCF Carbon Projects: The GEOMOD Modeling Approach. In: 2003 International Conference on Topical Forests and Climate Change: “Carbon Sequestration and the Clean Development Mechanism”. 39

    Google Scholar 

  • EDF (Environmental Defense Fund). 2008. Reducing Emissions from Deforestation and Forest Degradation in Developing Countries (REDD): Implications for the Carbon Market. New York: Environmental Defense Fund. 8

    Google Scholar 

  • Filho B S, Pennachin C L, Cerqueira G. 2002. DINAMICA-A stochastic cellular automata model designed to simulate the landscape dynamics in an Amazonian colonization frontier. Ecol Model, 154, 217–235

    Article  Google Scholar 

  • Filho B S, Alencar A, Nepstad D, et al. 2004. Simulating the response of land-cover changes to road paving and governance along a major Amazon highway: The Santarém-Cuiabá corridor. Glob Change Biol, 10: 745–764

    Article  Google Scholar 

  • Grieg-Gran M. 2008. The Cost of Avoided Deforestation: Update of the Report Prepared for the Stern Review of the Economics of Climate Change. London: International Institute for Environment and Development. 29

    Google Scholar 

  • He C, Shi P, Chen J, et al. 2005. Developing land use scenario dynamics model by the integration of system dynamics model and cellular automata model. Sci China Ser D-Earth Sci, 48: 1979–1989

    Article  Google Scholar 

  • Houghton R A. 1999. The annual net flux of carbon to the atmosphere from changes in land use 1850–1990. Tellus, 51B: 298–313

    Article  Google Scholar 

  • Houghton R A. 2003. Revised estimates of the annual net flux of carbon to the atmosphere from changes in land use and land management 1850–2000. Tellus, 55B: 378–390

    Article  Google Scholar 

  • Huettner M, Leemans R, Kok K, et al. 2009. A comparison of baseline methodologies for ‘Reducing Emissions from Deforestation and Degradation’. Carbon Balance Manag, 4: 4

    Article  Google Scholar 

  • IPCC (Intergovernmental Panel on Climate Change). 2006. IPCC guidelines for National Greenhouse Gas Inventories, Vol. 4: Agriculture, Forestry and Other Land Use. Japan: Institute for Global Environmental Strategies (IGES). 9

    Google Scholar 

  • Ismail M H. 2009. Developing policy for suitable harvest zone using multi criteria evaluation and GIS-based decision support system. Int J Econ Finance, 1: 105–117

    Google Scholar 

  • Lambin E F. 1994. Modelling Deforestation Processes: A Review. Luxemburg: Office for Official Publications for the European Community. 24

    Google Scholar 

  • Liu Y L, Jiao L M, Liu Y F. 2011. Land use data generalization indices considering scale and land use pattern effects. Sci China Earth Sci, 54: 694–702

    Article  Google Scholar 

  • Lohmann L. 1999. The Carbon Shop: Planting New Problems. Montevideo: World Rainforest Movement. 5

    Google Scholar 

  • Lu H, Liu G. 2012a. A case study of REDD+ challenges in the post-2012 climate regime: the scenarios approach. Nat Resour Forum, 36: 192–201

    Article  Google Scholar 

  • Lu H, Yan W, Qin Y, et al. 2012b. More than carbon stocks: A case study of ecosystem-based benefits of REDD+ in Indonesia. Chin Geograph Sci, 22: 390–401

    Article  Google Scholar 

  • Lu H, Liu G. 2013. Distributed land use modeling and sensitivity analysis for REDD+. Land Use Pol, 33: 54–60

    Article  Google Scholar 

  • Lusiana B, van Noordwijk M, Rahayu S. 2005. Carbon Stocks in Nunukan, East Kalimantan: A Spatial Monitoring and Modelling Approach. Bogor: World Agroforestry Centre-ICRAF, SEA Regional Office. 58

    Google Scholar 

  • Margules C R, Pressey R L. 2000. Systematic conservation planning. Nature, 405: 243–253

    Article  Google Scholar 

  • Millennium Ecosystem Assessment. 2005. Ecosystems and Human Wellbeing: Synthesis. Washington D C: Island Press. 71

    Google Scholar 

  • Page S E, Siegert F, Rieley J O, et al. 2002. The amount of carbon released from peat and forest fires in Indonesia during 1997. Nature, 420: 61–65

    Article  Google Scholar 

  • Ramankutty N, Gibbs H K, Achard F, et al. 2007. Challenges to estimating carbon emissions from tropical deforestation. Glob Change Biol, 13: 51–66

    Article  Google Scholar 

  • Renard K G, Foster G R, Weesies G A, et al. 1991. RUSLE: Revised universal soil loss equation. J Soil Water Conserv, 46: 30–33

    Google Scholar 

  • Renard K G, Foster G A, Weesies D K, et al. 1997. Predicting Soil Erosion by Water: A Guide to Conservation Planning with the Revised Universal Soil Loss Equation. Agriculture Handbook 703. Washington D C: United States Department of Agriculture. 22

    Google Scholar 

  • Schweithelm J. 1998. The Fire this Time: An Overview of Indonesia’s Forest Fires in 1997/1998. World Wide Fund for Nature Indonesia Discussion Paper. Jakarta: WWF Indonesia Programme

    Google Scholar 

  • Springate-Baginski O, Wollenberg E. 2010. REDD, Forest Governance and Rural Livelihoods: The Emerging Agenda. Bogor: CIFOR. 6

    Google Scholar 

  • Taylor J A, Lloyd J. 1992. Sources and sinks of CO2. Aust J Bot, 10: 407

    Article  Google Scholar 

  • Thoumi G A. 2009. Emeralds on the equator: An avoided deforestation carbon markets strategy manual. Thesis for Master of Science. Ann Arbor: University of Michigan

    Google Scholar 

  • Turner B L, Skole D, Sanderson S, et al. 1995. Land-Use and Land-cover Change Science/Research Plan. Joint publication of the International Geosphere-Biosphere Programme (Report No. 35) and the Human Dimensions of Global Environmental Change Programme (Report No. 7). Stockholm: Royal Swedish Academy of Sciences. 8

    Google Scholar 

  • Verburg P H, Schot P, Dijst M J, et al. 2004. Land use change modelling: current practice and research priorities. GeoJournal, 61: 309–324

    Article  Google Scholar 

  • Von Neumann J. 1996. Theory of Self-Reproducing Automata. Chicago: University of Illinois Press. 8

    Google Scholar 

  • Watson R T, Noble I R, Bolin B, et al. 2000. Land Use, Land-use Change, and Forestry: A Special Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press. 16

    Google Scholar 

  • White R, Engelen G, Uljee I. 1997. The use of constrained cellular automata for high-resolution modeling of urban land use dynamics. Environ Plan B, 24: 323–343

    Article  Google Scholar 

  • Wilson K, Pressey R L, Newton A, et al. 2005. Measuring and incorporating vulnerability into conservation planning. Environ Manage, 35: 527–543

    Article  Google Scholar 

  • Wolfram S. 1984. Cellular automata as models of complexity. Nature, 311: 419–424

    Article  Google Scholar 

  • WRI (World Resources Institute). 2005. Navigating the Numbers: Greenhouse Gas Data. Washington D C: World Resources Institute. 4

    Google Scholar 

  • Zarin D, Angelsen A, Brown S, et al. 2009. Reducing Emissions from Deforestation and Forest Degradation (REDD): An Options Assessment Report. Prepared for the Government of Norway. Washington D C: Meridian Institute. 1

    Google Scholar 

  • Zhang J, Zhou Y K, Li R Q, et al. 2010. Accuracy assessments and uncertainty analysis of spatially explicit modeling for land use/cover change and urbanization: A case in Beijing metropolitan area. Sci China Earth Sci, 53: 173–180

    Article  Google Scholar 

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Authors and Affiliations

  1. Institute of Natural Resources and Environmental Science, Henan Collaborative Innovation Center for Coordinated Developments in Central China Economic Zone, Henan University, Kaifeng, 475004, China

    HeLi Lu & GuiFang Liu

  2. United Nations University-Institute of Advanced Studies, Yokohama, 220-8502, Japan

    HeLi Lu

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  1. HeLi Lu
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  2. GuiFang Liu
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Correspondence to HeLi Lu.

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Lu, H., Liu, G. Modeling the impacts of policy interventions from REDD+ in Southeast Asia: A case study in Indonesia. Sci. China Earth Sci. 57, 2374–2385 (2014). https://doi.org/10.1007/s11430-014-4888-2

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