More than carbon stocks: A case study of ecosystem-based benefits of REDD+ in Indonesia

Chinese Geographical Science

Volumn 22, Issue 4, 2012, Pages 390-401

  Lu, Heli ^a   Yan, Weiyang ^a   Qin, Yaochen ^a   Liu, Guifang ^a  

^a HENAN UNIVERSITY   (China)

Author keywords

Carbon; Deforestation; Ecosystem based benefits; Indonesia; REDD+

Indexed keywords

BIODIVERSITY; CARBON EMISSION; CONFERENCE PROCEEDING; CONSERVATION MANAGEMENT; COST-BENEFIT ANALYSIS; DEFORESTATION; DEVELOPING WORLD; ECOSYSTEM MANAGEMENT; EMISSION INVENTORY; ENVIRONMENTAL DEGRADATION; ENVIRONMENTAL ECONOMICS; ENVIRONMENTAL IMPACT ASSESSMENT; ENVIRONMENTAL PROTECTION; HABITAT FRAGMENTATION; NDVI; UNITED NATIONS FRAMEWORK CONVENTION ON CLIMATE CHANGE;

INDONESIA; KALIMANTAN;

EID: 84863981116     PISSN: 10020063     EISSN: 1993064X     Source Type: Journal    
DOI: 10.1007/s11769-012-0545-x     Document Type: Conference Paper

References (48)

1. Abdulhadi R, Kartawinata K, Sukardjo S, 1981. Effects of mechanized logging in the lowland dipterocarp forest at Lempake, East Kalimantan. The Malaysian Forester, 44(2): 407-418.
2. Benitez-Malvido J, 1998. Impact of forest fragmentation on seedling abundance in a tropical rain forest. Conservation Biology, 12(2): 380-389. doi: 10.1111/j.1523-1739.1998.96295.x (Pubitemid 28202796)
3. Chander G, Markham B L, Helder D L, 2009. Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sensing of Environment, 113(5): 893-903. doi: 10.1016/j.rse.2009.01.007
4. Congalton R G, Green K, 1999. Assessing the accuracy of remotely sensed data: Principles and practices. The Photogrammetric Record, 25(130): 204-205. doi: 10.1111/j.1477-9730.2010.00574-2.x
5. Dixon R K, Brown S, Houghton R A et al., 1994. Carbon pools and flux of global forest ecosystems. Science, 263(5144): 185-190. doi: 10.1126/science.263. 5144.185.
6. FAO (Food and Agriculture Organization), 1993. Forest Resources Assessment 1990: Tropical Countries. Rome: FAO Forestry Paper, 112.
7. FAO (Food and Agriculture Organization), 2001. State of the World's Forests 2001. Rome: FAO, 30.
8. Field C B, Behrenfeld M J, Randerson J T et al., 1998. Primary production of the biosphere: Integrating terrestrial and oceanic components. Science, 281(5374): 237-240. doi: 10.1126/science.281.5374.237 (Pubitemid 28334501)
9. Foody G M, Mathur A, 2004. A relative evaluation of multiclass image classification by support vector machines. IEEE Transactions on Geoscience and Remote Sensing, 42(6): 1335-1343. doi: 10.1109/TGRS.2004.827257
10. Foody G M, 2002. Status of land cover classification accuracy assessment. Remote Sensing of Environment, 80(1): 185-201. doi: 10.1016/j.bbr.2011.03.031 (Pubitemid 34271212)
11. Frielinghaus M, Vahrson W G, 1998. Soil translocation by water erosion from agricultural cropland into wet depressions (morainic kettle holes). Soil and Tillage Research, 46(1.2): 23-30. (Pubitemid 28320353)
12. Geneletti D, 2004. Using spatial indicators and value functions to assess ecosystem fragmentation caused by linear infrastructures. International Journal of Applied Earth Observation and Geoinformation, 5(1): 1-15. doi: 10.1016/j.jag.2003.08.004 (Pubitemid 38256770)
13. Giordano F, Marini A, 2008. A landscape approach for detecting and assessing changes in an area prone to desertification in Sardinia (Italy). International Journal of Navigation and Observation, 2008(1): 1-5. doi: 10.1155/2008/549630
14. GOFC-GOLD (Global Observation of Forest and Land Cover Dynamics), 2009. Reducing Greenhouse Gas Emissions from Deforestation and Degradation in Developing Countries: A Sourcebook of Methods and Procedures for Monitoring, Measuring and Reporting. GOFC-GOLD Report version COP14-2. Alberta, Canada: GOFC-GOLD Project Office, Natural Resources Canada.
15. Hairiah K, Sitompul S M, 2000. Assessment and Simulation of Aboveground and Belowground C Stocks and Dynamics. Bogor, Indonesia: Science and Policy Workshop on Terrestrial Carbon and Possible Trading under the CDM, IC-SEA, BIOTROP.
16. IPCC (Intergovernmental Panel on Climate Change), 2000. Land Use, Land-use Change, and Forestry. Special Report of the IPCC. Cambridge, United Kingdom: Cambridge University Press.
17. IPCC (Intergovernmental Panel on Climate Change), 2006. IPCC Guidelines for National Greenhouse Gas Inventories. Japan: Institute for Global Environmental Strategies for the IPCC.
18. IPCC (Intergovernmental Panel on Climate Change), 2007. Climate change 2007: The physical science basis. In: Solomon S (eds.). Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. United Kingdom: Cambridge University Press.
19. Jackson R D, Slater P N, Pinter P J, 1983. Discrimination of growth and water stress in wheat by various vegetation indices through clear and turbid atmospheres. Remote Sensing of Environment, 13(3): 187-208. doi: 10.1016/0034-4257(83) 90039-1
20. Kanninen M, Murdiyarso D, Seymour F et al., 2007. In Forest Perspectives No. 4: Do Trees Grow on Money? The Implications of Deforestation Research for Policies to Promote REDD. Bogor, Indonesia: Center for International Forestry Research (CIFOR).
21. Kenneth G R, George R F, Glenn A W et al., 1991. RULSE revised universal soil loss equation. Journal of Soil and Water Conservation, 46(1): 30-33.
22. Lal R, 1995. Global soil erosion by water and carbon dynamics. In: Lal R (eds.). Soils and Global Change. Boca Raton, FL: CRC Press/Lewis Publishers, 131-142.
23. Lal R, 1998. Soil erosion impact on agronomic productivity and environment quality. Critical Reviews in Plant Sciences, 17(4): 319-464. doi: 10.1080/07352689891304249 (Pubitemid 28378846)
24. Larocque G R, Bhatti J S, Boutin R et al., 2008. Uncertainty analysis in carbon cycle models of forest ecosystems: Research needs and development of a theoretical framework to estimate error propagation. Ecological Modelling, 219(3-4): 400-412.
25. Laurance W F, Bierregaard R O, 1997. Tropical Forest Remnants: Ecology, Management, and Conservation of Fragmented Communities. Chicago, USA: University of Chicago Press.
26. Lu D, Mausel P, Brondizio E et al., 2002. Assessment of atmospheric correction methods for Landsat TM data applicable to Amazon basin LBA research. International Journal of Remote Sensing, 23(13): 2651-2671. doi: 10.1080/01431160110109642
27. Lu H L, Liu G F, 2010. Trends in temperature and precipitation on the Tibetan Plateau, 1961-2005. Climate Reseacch, 43(3): 179-190. doi: 10.3354/cr00909
28. Markham B L, Barker J L, 1986. Landsat MSS and TM postcalibration dynamic ranges, exoatmospheric reflectances and at-satellite temperatures. EOSAT Landsat Technical Notes, 1: 3-8.
29. Martinuzzi S, Gould W A, Ramos González O M et al., 2008. Mapping tropical dry forest habitats integrating Landsat NDVI and topographic information. Revista de Biologia Tropical, 56(2): 625-639.
30. Mather P M, 1999. Computer Processing of Remotely-Sensed Images: An Introduction. Chichester: John Wiley & Sons.
31. McGarigal K, Marks B J, 1994. Fragstats: Spatial Pattern Analysis Program for Quantifying Landscape Structure (Vesion 2.0). Corvallis: Forest Science Department, Oregon State University.
32. Melillo J M, McGuire A D, Kicklighter D W et al., 1993. Global climate change and terrestrial net primary production. Nature, 363(6426): 234-240. doi: 10.1038/363234a0 (Pubitemid 23381946)
33. Morgan R P C, 1986. Soil Erosion and Conservation. London: Longman Scientific and Technical, Longman Group UK Limited.
34. Murdiyarso D, Wasrin U R, 1995. Estimating land use change and carbon release from tropical forests conversion using remote sensing technique. Journal of Biogeography, 22(4-5): 715-721. doi: 10.2307/2845974 (Pubitemid 26482037)
35. Murtedza M, Chuan T T, 1993. Managing ASEAN's forests (Chapter 4). In: Seda M (ed.). Environmental Management in ASEAN. Singapore: ISEAS Publication, 111-140.
36. Noordwijk M, Hairiah K, Sitompul S M, 2000. Reducing uncertainties in the assessment at national scale of C stock impacts of land use change. In: Macandog D B (ed.). Proceedings of the IGES/NIES Workshop on GHG Inventories for Asia-Pacific Region. Hayama, Japan: Institute for Global Environmental Strategies, 150-163.
37. Oyedele D J, 1996. Effects of Erosion on Soil Productivity of Selected Southwestern Nigerian Soils. Nigeria: Department of Soil Science, Obafemi Awolowo University.
38. 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(6911): 61-65. (Pubitemid 35291438)
39. Renard K G, Foster G R, Weesies G A et al., 1991. RUSLE: Revised universal soil loss equation. Journal of Soil and Water Conservation, 46(1): 30-33.
40. Renard K G, Foster G R, Yoder D C et al., 1994. RUSLE revisited: Status, questions, answers, and the future. Journal of Soil and Water Conservation, 49(3): 213-220.
41. Renard K G, Foster G R, Weesies G A et al., 1997. Predicting Soil Erosion by Water: A Guide to Conservation Planning with the Revised Universal Soil Loss Equation (RUSLE). Washington D.C.: USDA-ARS Agriculture Handbook.
42. Schweithelm J, 1998. The Fire This Time: An Overview of Indonesia's Forest Fires in 1997/98. Indonesia: World Wide Fund for Nature.
43. Sizer N, Tanner E V J, 1999. Responses of woody plant seedlings to edge formation in a lowland rainforest, Amazonia. Biological Conservation, 91(2-3): 135-142. doi: 10.1016/S0006-3207 (99)00076-2 (Pubitemid 29523699)
44. Van der Knijff J M, Jones R J A, Montanarella L, 1999. Soil Erosion Risk Assessment in Italy. Italy: European Commission Joint Research Centre.
45. Vezjak M, Savsek T, Stuhler E A, 1998. System dynamics of eutrophication processes in lakes. European Journal of Operations Research, 109(2): 442-451. doi: 10.1016/S0378-5122(98) 00036-X (Pubitemid 128417844)
46. Wahyunto, Wahyu Wahdini, Hasyim Bekti et al., 2007. Assessment of Carbon Stock and Emission from Peat Land. Bogor, Indonesia: Indonesian Centre for Agricultural Land Resources Research and Development and World Agroforestry Centre, in press.
47. Wischmeier W H, Smith D D, 1978. Predicting Rainfall Erosion Losses to Conservation Planning. Agriculture Handbook (No. 537). Washington D.C.: United States Department of Agriculture.
48. WRI (World Resources Institute), 2008. CAIT: Climate Analysis Indicators Tool. Washington D.C.: World Resources Institute.