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Deforestation Projections for Carbon-Rich Peat Swamp Forests of Central Kalimantan, Indonesia

Abstract

We evaluated three spatially explicit land use and cover change (LUCC) models to project deforestation from 2005–2020 in the carbon-rich peat swamp forests (PSF) of Central Kalimantan, Indonesia. Such models are increasingly used to evaluate the impact of deforestation on carbon fluxes between the biosphere and the atmosphere. We considered both business-as-usual (BAU) and a forest protection scenario to evaluate each model’s accuracy, sensitivity, and total projected deforestation and landscape-level fragmentation patterns. The three models, Dinamica EGO (DE), GEOMOD and the Land Change Modeler (LCM), projected similar total deforestation amounts by 2020 with a mean of 1.01 million ha (Mha) and standard deviation of 0.17 Mha. The inclusion of a 0.54 Mha strict protected area in the LCM simulations reduced projected loss to 0.77 Mha over 15 years. Calibrated parameterizations of the models using nearly identical input drivers produced very different landscape properties, as measured by the number of forest patches, mean patch area, contagion, and Euclidean nearest neighbor determined using Fragstats software. The average BAU outputs of the models suggests that Central Kalimantan may lose slightly less than half (45.1%) of its 2005 PSF by 2020 if measures are not taken to reduce deforestation there. The relatively small reduction of 0.24 Mha in deforestation found in the 0.54 Mha protection scenario suggests that these models can identify potential leakage effects in which deforestation is forced to occur elsewhere in response to a policy intervention.

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References

  • Achard F, Eva HD, Stibig H-J, Mayaux P, Gallego J, Richards T, Maningreau J-P (2002) Determination of deforestation rates of the world’s humid tropical forests. Science 297:999–1002

    Article  CAS  Google Scholar 

  • Ballhorn U, Siegert F, Mason M, Suwido L (2009) Derivation of burn scar depths and estimation of carbon emissions with LIDAR in Indonesian peatlands. Proceedings National Academy of Sciences USA 106:21213–21218

    Article  CAS  Google Scholar 

  • Busch J, Strassburg B, Catteneo A, Lubowski R, Bruner A, Rice R, Creed A, Ashton R, Boltz F (2009) Comparing climate and cost impacts of reference levels for reducing emissions from deforestation. Environmental Research Letters 4:044006

    Article  Google Scholar 

  • Curran LM, Trigg SN, McDonald AK, Astiani D, Hardiono YM, Siregar P, Caniago I, Kasischke E (2004) Lowland forest loss in protected areas in Indonesian Borneo. Science 303:1000–1003

    Article  CAS  Google Scholar 

  • Deadman P, Robinson D, Moran E, Brondizio E (2004) Colonist household decision making and land-use change in the Amazon Rainforest: an agent-based simulation. Environment and Planning B 31:693–709

    Article  Google Scholar 

  • Dennis RA, Colfer CP (2006) Impacts of land use and fire on the loss and degradation of lowland forest in 1983–2000 in East Kutai District, East Kalimantan, Indonesia. Singapore Journal of Tropical Geography 27:30–48

    Article  Google Scholar 

  • Eastman R (2006) Idrisi: The Andes edition. Clark Labs, Worcester

    Google Scholar 

  • Fuller DO (2003) MODIS data used to study 2002 fires in Kalimantan, Indonesia, vol 84. Eos, Transactions, American Geophysical Union, p 189, 192

  • Fuller DO (2005) Remote detection of invasive Melaleuca (Melaleuca quinquenervia) trees in South Florida with multispectral IKONOS imagery. International Journal of Remote Sensing 26:1057–1063

    Article  Google Scholar 

  • Fuller DO, Jessup TC, Salim A (2004) Loss of forest cover in Kalimantan, Indonesia since the 1997–1998 El Niño. Conservation Biology 18:249–254

    Article  Google Scholar 

  • Gaveau DLA, Epting J, Lyne O, Linkie M, Kumara I, Kanninen M, Leader-Williams N (2009) Evaluating whether protected areas reduce tropical deforestation in Sumatra. Journal of Biogeography 36:2165–2175

    Article  Google Scholar 

  • Geist HJ, Lambin EF (2002) Proximate causes and underlying driving forces of tropical deforestation. Bioscience 52:143–150

    Article  Google Scholar 

  • Gibbs HK, Brown S, Niles JO, Foley JA (2007) Monitoring and estimating tropical forest carbon stocks: making REDD a reality. Environmental Research Letters 2:045023

    Article  Google Scholar 

  • Government of Indonesia (2009) Summary for policy makers second National communication under the United Nations Framework Convention on Climate Change and Indonesia Climate Change Accord

  • Hansen MC, Stehman SV, Potapov PV, Arunarwati B, Stolle F, Pittman K (2009) Quantifying changes in the rates of forest clearing in Indonesia from 1990 to 2005 using remotely sensed data sets. Environmental Research Letters 4. doi:10.1088/1748-9326/4/3/034001

  • Harris NL, Petrova S, Stolle F, Brown S (2008) Identifying optimal areas for REDD intervention: East Kalimantan, Indonesia as a case study. Environmental Research Letters 3. doi:10.1088/1748-9326/3/3/035006

  • Hooijer A, Silvius M, Wösten H, Page S (2006) PEAT-CO2, Assessment of CO2 emissions from drained peatlands in SE Asia. Delft Hydraulics report Q3943. http://www.wldelft.nl/cons/area/rbm/PEAT-CO2.pdf. Accessed online 10 June 2010

  • Jaenicke J, Rieley JO, Mott C, Kimman P, Siegert F (2008) Determination of the amount of carbon stored in Indonesian peatlands. Geoderma 147:151–158

    Article  CAS  Google Scholar 

  • Köhl M, Baldauf T, Plugge D, Krug J (2009) Reduced emissions from deforestation and forest degradation (REDD): a climate change mitigation strategy on a critical track. Carbon Balance and Management 4. doi:10.1186/1750-0680-4-10

  • Lambin EF (1997) Modelling and monitoring land-cover change processes in tropical regions. Progress in Physical Geography 21:375–393

    Article  Google Scholar 

  • Langner A, Siegert F (2009) Spatiotemporal fire occurrence in Borneo over a period of 10 years. Global Change Biology 15:48–62

    Article  Google Scholar 

  • Li X, Hong HS, Bu R, Wen Q, Chang Y, Yuanman H, Li Y (2005) The adequacy of different landscape metrics for various landscape patterns. Pattern Recognition 38:2626–2638

    Article  Google Scholar 

  • MacKinnon K, Hatta G, Halim H, Mangalik A (1996) The ecology of Kalimantan. Indonesian Borneo Periplus Editions, Singapore

    Google Scholar 

  • McGarigal K, Marks BJ (1995) FRAGSTATS: spatial pattern analysis program for quantifying landscape structure. USDA Forest Service General Technical Report PNW-351

  • Miettinen J, Shi C, Liew SC (2011) Deforestation rates in insular Southeast Asia between 2000 and 2010. Global Change Biology. doi: 10.1111/j.1365-2486.2011.02398.x

  • Murdiyarso D, Lebel L (2007) Local to global perspectives on forest and land fires in Southeast Asia. Mitigation and Adaptation Strategies for Global Change 12:3–11

    Article  Google Scholar 

  • Obersteiner M, Huettner M, Kraxner F, McCallum I, Kentaro A, Böttcher H, Fritz S, Gusti M, Havlik P, Kindermann G, Rametsteiner E, Reyers B (2009) On fair, effective and efficient REDD mechanism design. Carbon Balance and Management 4:11. doi:10.1186/1750-0680-4-11

    Article  Google Scholar 

  • Olander LP, Gibbs HK, Steininger M, Swensen JJ, Murray BC (2008) Reference scenarios for deforestation and forest degradation in support of REDD: a review of data and methods. Environmental Research Letters. doi:10.1088/1748-9326/3/2/025011

  • Page SE, Siegert F, Rieley JO, Boehm HDV, Jaya A, Limin S (2002) The amount of carbon released from peat and forest fires in Indonesia during 1997. Nature 420:61–65

    Article  CAS  Google Scholar 

  • Page S, Hoscilo A, Wosten H, Jauhiainen J, Silvius M, Rieley J, Ritzema H, Tansey K, Graham L, Vasander H, Limin S (2009) Restoration ecology of lowland tropical peatlands in Southeast Asia: Current knowledge and future research directions. Ecosystems 12:888–905

    Article  CAS  Google Scholar 

  • Paoli GD, Wells P L, Meijaard EM, Struebig J, Marshall A J, Obidzinski K, Tan A, Rafiastanto A, Yaap B, Slik JWF, Morel A, Perumal B, Wielaard N, Husson S, and D’Arcy L (2010) Biodiversity Conservation in the REDD Carbon Balance and Management 5:7. doi:10.1186/1750-0680-5-7

  • Pontius RG, Chen H (2006) GEOMOD modeling. http://www.clarku.edu/~rpontius/. Accessed online 10 June 2010

  • Pontius RG, Cornell J, Hall CAS (2001) Modeling the spatial pattern of land-use change with GEOMOD2: application and validation for Costa Rica. Agriculture, Ecosystems and Environment 85:191–203

    Article  Google Scholar 

  • Pontius RG et al (2007) Accuracy assessment for a simulation model of Amazonian deforestation. Annals of the Association of American Geographers 97:677–695

    Article  Google Scholar 

  • Pontius RG et al (2008) Comparing the input, output, and validation maps for several models of land change. Annals of Regional Science 42:11–37

    Article  Google Scholar 

  • Pontius RG, Menon S, Duncan J, Gupta S (2009) Fundamentals for using geographic information science to measure effectiveness of land conservation projects. In: Joshi PK et al (eds) Geoinformatics for Natural Resource Management. Nova Science Publishers, New York, pp 539–557

    Google Scholar 

  • Ruesch A, Gibbs HK (2008) New IPCC Tier-1 Global Biomass Carbon Map For the Year 2000. Oak Ridge National Laboratory, Oak Ridge, Tennessee. Available online from the Carbon Dioxide Information Analysis Center http://cdiac.ornl.gov

  • Siegert F, Ruecker G, Hinrichs A, Hoffmann AA (2001) Increased damage from fires in logged forests during droughts caused by El Niño. Nature 412:437–440

    Article  Google Scholar 

  • Soares-Filho BS, Rodrigues H, Costa W (2009) Modeling Environmental Dynamics with Dinamica EGO. www.csr.ufmg.br/dinamica. Accessed online 8 June 2010

  • van der Werf GR et al (2008) Climate regulation of fire emissions and deforestation in equatorial Asia. Proceedings of the National Academy of Sciences USA 105:20350–20355

    Article  Google Scholar 

  • Venter O, Meijaard E, Possingham H, Dennis R (2009) Carbon payments as a safeguard for threatened tropical mammals. Conservation Letters 2:123–129

    Article  Google Scholar 

  • Whitten AJ, Damanik SJ, Jazanul A, Nazaruddin H (1987) The ecology of Sumatra. Gadjah Mada University Press, Yogyakarta

    Google Scholar 

  • Winter CL, Nychka D (2009) Forecasting skill of model averages. Stochastic Environmental Research and Risk Assessment 24:633–638

    Article  Google Scholar 

  • Yashwant S (2010) Fighting for forests. The Jakarta Globe accessed online 10 June 2010 http://www.thejakartaglobe.com/opinion/fighting-for-forests/379290

Download references

Acknowledgments

The authors thank the editors and the anonymous reviewers for their valuable comments. The Indonesia-Australia Forest Climate Partnership (IACFP) in Jakarta and Central Kalimantan provided data and financial support to MH and DF needed to initiate this research activity.

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Correspondence to Douglas O. Fuller.

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Fuller, D.O., Hardiono, M. & Meijaard, E. Deforestation Projections for Carbon-Rich Peat Swamp Forests of Central Kalimantan, Indonesia. Environmental Management 48, 436–447 (2011). https://doi.org/10.1007/s00267-011-9643-2

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  • DOI: https://doi.org/10.1007/s00267-011-9643-2

Keywords

  • LUCC models
  • Terrestrial carbon
  • Deforestation
  • Indonesia
  • Peat swamp forest
  • Landscape metrics