Carbon inventory methods: Handbook for greenhouse gas inventory, carbon mitigation and roundwood production projects

Advances in Global Change Research

Volumn 29, Issue , 2008, Pages 1-304

  Ravindranath, N H ^a   Ostwald, Madelene ^b  

^a INDIAN INSTITUTE OF SCIENCE   (India)

^b LINKÖPING UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84994425703     PISSN: 15740919     EISSN: 22151621     Source Type: Book Series    
DOI: None     Document Type: Chapter

References (185)

1. ALOS (Advanced Land Observation Satellite), 2006, The ALOS Kyoto & Carbon Initiative – Science Plan v 2.0. http://www.eorc.jaxa.jp/ALOS/kyoto/kyoto_index.htm accessed Feb 2007.
2. 2, Geodermatology. 82:83–114.
3. Asia Forest Network, 2002, Participatory rural appraisal for community forest management: Tools and techniques, Asia Forest Network, Bohol, Philippines.
4. Aukland, L., Moura Costa, P., and Brown, S., 2003, A conceptual framework and its application for addressing leakage: The case of avoided deforestation, Climate Policy. 3:123–136.
5. Avery, T.E. and Burkhart, H.E., 1983, Forest measurements, McGraw-Hill series in forest resources, McGraw-Hill, New York.
6. Baldocchi, D., 2003, Assessing the eddy covariance technique for evaluating carbon dioxide exchange rates of ecosystems: Past, present and future, Global Change Biology. 9:479–492.
7. Baldocchi, D., Falge, E., Lianhong, G., Olson, R., Hollinger, D., Running, S., Anthoni, P., Bernhofer, C., Davis, K., Evans, R., Fuentes, J., Goldstein, A., Katul, G., Law, B., Xuhui, L., Malhi, Y., Meyers, T., Munger, W., Oechel, W., and Paw, U.K.T., 2001, FLUXNET: A new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor and energy flux densities, Bulletin of the American Meteorological Society. 82:2415–2434.
8. Barret, E.C. and Curtis, L.F., 1995, Introduction to environmental remote sensing, Third edition, Chapman & Hall, London.
9. Baruah, T.C. and Barthakur, H.P, 1997, A Textbook of Soil Analysis, Vikas, New Delhi.
10. Bazilevich, N., 1974, Geochemical work of the living matter of the Earth and soil forming, in Pap. X International Congress of soil-scientists. Vol. 4, part 1, Nauka Press, Moscow, pp. 17–19 (in Russian).
11. Bock, M., Xofis, P., Mitchley, J., Rossner, G., and Wissen, M., 2005, Object-oriented methods for habitat mapping, Fat multiple scales – case studies from Northern Germany and Wye Downs, UK, Journal for Nature Conservation. 13:75–89.
12. Bohm, W., 1979, Methods of studying roots systems, Ecological studies No. 33, Springer, Berlin/ Germany/New York.
13. Boisvenue, C. and Running, S.W., 2006, Impacts of climate change on natural forest productivity – evidence since the middle of the 20th century, Global Change Biology. 12:1–21.
14. Bolin, B. and Sukumar, R., 2000, Global perspective, in Watson, R.T., Noble, I.R., Bolin, B., Ravindranath, N.H., Verardo, D.J., and Dokken, D.J. (eds.), IPCC. Land use, land-use change and forestry, Special report, Cambridge University Press, Cambridge, Chap. 1.
15. Botkin, D.B., 1993, Forest dynamics: an ecological model, Oxford University Press, New York.
16. Brady, N.C. and Weil, R.R., 1999, The Nature and properties of soils, Prentice-Hall, Upper Saddle River, NJ.
17. Bickel, K., Richards, G., Köhl, M., and Rodrigues, R.L.V., 2006, Chapter 3 Consistent representation of land, in IPCC Guidelines for National Greenhouse Gas Inventories, Cambridge University Press, Cambridge.
18. Brogaard, S., Runnström, M., and Seaqusit, J.W., 2005, Primary production of Inner Mongolia, China, between 1982 and 1990 estimated by a satellite data-driven light use efficiency model, Global and Planetary Change. 45:313–332.
19. Brown, K., 1996, The utility of remote sensing technology in monitoring carbon sequestration agroforestry projects, Winrock International Working paper 7/96, Winrock International, Arlington, VA.
20. Brown, S., 1997, Estimating biomass and biomass change of tropical forests: A primer, FAO Forestry Paper 134, Food and Agriculture Organization of the United Nations, Rome, Italy.
21. Brown, S., Sathaye, J., Cannel, M., and Kauppi, P.E., 1996, Mitigation of Carbon Emission to the Atmosphere by Forest Management, Commonwealth Forestry Review. 75(1):80–91.
22. Brown, S.L. and Schroeder, P.E., 1999, Spatial patterns of aboveground production and mortality of woody biomass for eastern US forests, Ecological Applications. 9:968–980.
23. Cairns, M.A., Brown, S., Helmer, E.H., and Baumgardner, G.A., 1997, Root biomass allocation in the world’s upland forests, Oecologia. 111:1–11.
24. Canadell, J.G., Mooney, H.A., Baldocchi, D.D., Berry, J.A., Ehleringer, J.R., Field, C.B., Gower, S.T., Hollinger, D.Y., Hunt, J.E., Jackson, R.B., Running, S.W. Shaver, G.R., Steffen, W., Trumbore, S.E., Valentini, R., and Bond, B.Y., 2000, Carbon metabolism of the terrestrial biosphere, Ecosystems. 3:115–130.
25. Canadell, J.G., Ciais, P., and Cox, P., 2004, Quantifying, understanding and managing the carbon cycle in the next decades, Climatic Change. 67:147–160.
26. Cannell, M.G.R., 1982, World forest biomass and primary production data, Academic Press, London.
27. Castillo-Santiago, M.A., Hellier, G., Tipper, R., and de Jong, B.H.J., 2006, Carbon emissions for land-use change: A regional analysis of causal factors in Chiapas, Mexico, Mitigation and adaptation strategies for global change. DOI 10.1007/s11027-006-9060-7.
28. CENTURY, 1992, Soil organic matter model environment, technical documentation, agroecosystem version 4.0, Colorado State University, Fort Collins, CO.
29. Chaturvedi, A.N. and Khanna, L.S., 1982, Forest mensuration, International Book Distributors, Dehradun.
30. Chaturvedi, R.K., 2007, CES technical report, Centre for Ecological Sciences, Indian Institute of Science, Bangalore.
31. Chomitz, K., 1998, Baselines for greenhouse gas reductions: Problems, precedents, solutions, Development Research Group, May, The World Bank, Washington, DC.
32. Clark, D.A., Brown, S., Kicklighter, D.W., Chambers, J.Q., Thomlinson, J.R., and Ni, J., 2001, Measuring net primary production in forests: Concepts and field measurements, Ecological Applications. 11:356–370.
33. Cole, V., Cerri, C., Mosier, A., Rosenberg, N.J., and Sauerbeck, D., 1996, Agricultural Options for Mitigation of Greenhouse Gas Emissions, Chapter 23, in Watson, R.T., Zimoywera, M.C., and Moss, R.H. (eds.), Climate change: Impacts, adaptation and mitigation of climate change, Report of IPCC Working Group II, Cambridge University Press, Cambridge.
34. Coleman, K. and Jenkinson, D.S., 1995, Roth C-26 3.A model for the turnover of carbon in soil: Model description and users guide. ISBN 0951-4456-69.
35. Commonwealth of Australia, 2001, Bush for greenhouse, field measurement procedures for carbon accounting, Australian Greenhouse office, Canberra.
36. Dale, V.H., Houghton, R.A., Grainger, A., Lugo, A.E., and Brown, S., 1993, Emissions of greenhouse gases from tropical deforestation and subsequent uses of the land, in Sustainable Agriculture and the Environment in the Humid Tropics, National Academy Press, Washington, DC.
37. Das, S. and Ravindranath, N.H., 2006, Remote sensing techniques for biomass production and carbon sequestration projects, in Rosillo-Calle, F. (ed.), Biomass assessment handbook, Earthscan, London.
38. Davidson, E.A. and Ackerman, I.L., 1993, Changes in soil carbon inventories following cultivation of previously untilled soils, Biogeochemistry. 20:161–193.
39. DeFries, R., Achard, F., Brown, S., Herold, M., Mudiyarso, D., Schlamadinger, B., and de Souza, Jr., C., 2006, Reducing greenhouse gas emissions for deforestation in developing countries: Considerations for monitoring and measuring, GOFC-GOLD GTOS land cover global observation of forest and land cover dynamics. GTOS 46, GOLD 26.
40. DeFries, R.G., Asner, F., Achard, C., Justice, N., Laporte, K., Price, C., and Townshend, J., 2005, Monitoring Tropical Deforestation for Emerging Carbon Markets, in Mountinho, P. and Schwartzman, S. (eds.), Tropical deforestation and climate change. IPAM, Belem, Brazil and Environmental Defense, Washington, DC.
41. De Vries, R.S., 1986, Effects of land-use history on sedimentation in the Potomac Estuary, Maryland. United States Geological Survey Water Supply Paper 2234-K, Washington, DC.
42. Delaney, M., Brown, S., and Powell, M., 1999, Carbon-Offset Report for the Noel-Kempff Project, Bolivia. Report to nature conservancy, Winrock International, Arlington, VA.
43. Dong, J., Kaufmann, R.T., Myneni, R.B., Tucker, C.J., Kauppi, P.E., Liski, J., Buermann, W., Alexeyev, V., and Hughes, M.K., 2003, Remote sensing estimates of boreal and temperate forest woody biomass: Carbon pools, sources, and sinks, Remote Sensing of Environment. 84:393–410.
44. Drake, J.B., Knox, R.G., Dubayah, R.O., Clark, D.B., Condit, R., Blair, J.B., and Hofton, M., 2003, Above-ground biomass estimation in closed canopy Neotropical forests using lidar remote sensing: Factors affecting the generality of relationships, Global Ecology and Biogeography. 12:147–159.
45. Eggleston, H.S., Salway, A.G., Charles, D., Jones, B.M.R., and Milne, R., 1998, Treatment of uncertainties for national greenhouse gas emissions, Report AEAT 2688–1 for DETR Global Atmosphere Division, AEA Technology, Culham.
46. FAO, 2004, A review of carbon sequestration projects. AGL/MISC/37/2004. Rome, Italy.
47. FAO, 2005, Land cover classification system: Classification concepts and user manual, Environment and Natural Resources Series, No. 8. Rome, Italy.
48. FAO, 2006, Global forest resources assessment 2005: Progress towards sustainable forest management, FAO Forestry Paper 147. FAO, Rome, Italy.
49. Fassnacht, K.S., Gower, S.T., MacKenzie, M.D., Nordheim, E.V., and Lillesand, T.M., 1997, Estimating the leaf area index of North Central Wisconsin forest using Landsat Thematic Mapper, Remote Sensing of Environment. 61:229–245.
50. Fishman, G.S., 1995, Monte Carlo: Concepts, algorithms, and applications, Springer Series in operation research, Springer, New York.
51. Forest Survey of India (FSI), 1996, Volume equations for forests of India, Nepal and Bhutan, Ministry of Environment and Forest, Govt. of India.
52. Franklin, J.F., 1989, Importance and justification of long-term studies in ecology, in Likens, G.E. (ed.), Long-term studies in ecology. Springer, New York.
53. Freese, F., 1962, Elementary forest sampling. USDA Agricultural Handbook No. 232, Washington, DC.
54. Fuentes, D.A., Gamon, J.A., Cheng, Y., Claudio, H.C., Qiu, H.-L., Mao, Z., Sims, D.A., Rahman, A.F., Oechel, W., and Luo, H., 2006, Mapping carbon and water vapour fluxes in a chaparral ecosystem using vegetation indices derived from AVIRIS, Remote Sensing of Environment. 103:312–323.
55. Geider, R.J., Delucia, E.H., Falkowski, P.G., Finzi, A.C., Grime, J.P., Grace, J., Kana, T.M., La Roche, J., Long, S.P., Osborne, B.A., Platt, T., Prentice, I.C., Raven, J.A., Schlesinger, W.H., Smetacek, V., Stuart, V., Sathyendranath, S., Thomas, R.B., Vogelmann, T.C., Williams, P., and Woodward, F.I., 2001, Primary productivity of planet earth: Biological determinants and physical constraints in terrestrial and aquatic habitats, Global Change Biology. 7:849–882.
56. Greenhouse, 2002, Field measurement procedures for carbon accounting, Bush for Greenhouse, Report No. 2. Version 1, Australian Greenhouse Office.
57. Hairiah, K., Sitompul, S.M., van Noordwijk, M., and Palm, C.A., 2001, Methods for sampling carbon stocks above and below ground, ASB Lecture Note 4B, International Centre for Research in Agroforestry (ICRAF), Bogor.http://www.icraf.cgiar.org/sea/Training/Materials/ASBTM/Datas/ASBLecNote%204B.pdf
58. Holdrige, L.R., 1947, Determination of world formation from simple climatic data, Science. 105:367–368.
59. Holmgren, J., Nilsson, M., and Olsson, H., 2003, Estimation of tree height and stem volume on plots using airborne laser scanning, Forest Science. 49:419–428.
60. Houghton, R.A., 1993, Changes in terrestrial carbon over the last 135 years, in Heimann, M. (ed.), NATO ASI Series, Vol. I 15: The global carbon cycle. Springer, New York, pp. 139–56.
61. Huete, A., Didan, K., Miura, T., Rodriguez, E.P., Gao, X., and Ferreira, L.G., 2002, Overview of radiometric and biophysical performance of MODIS vegetation indices, Remote Sensing of Environment. 83:195–213.
62. Hunt, E.R., Jr. and Running, S.W., 1992, Simulated dry matter yields for aspen and spruce stands in the North American boreal forest, Canadian Journal of Remote Sensing. 18:126–133.
63. Igarashi, T., Shimada, M., Rosenqvist, A., Hashimoto, T., Tadono, T., Matsuoka, M., and Yamamoto, H., 2003, Preliminary study on data sets of ADEOS-II and ALOS dedicated to terrestrial carbon observation, Advances in Space Research. 32:2147–2152.
64. IPCC (Intergovernmental Panel on Climate Change), 1996, Revised Guidelines. Cambridge University Press, Cambridge.
65. IPCC (Intergovernmental Panel on Climate Change), 2000a, Good Practice Guidance and Uncertainty Management in National Greenhouse gas, Inventories, Institute for Global Environmental Strategies, Hayama, Japan.
66. IPCC (Intergovernmental Panel on Climate Change), 2000b, Land use, land-use change and forestry, Special report, Cambridge University Press, Cambridge.
67. IPCC (Intergovernmental Panel on Climate Change), 2001a, Climate change 2001: The scientific basis, Summary for Policy Makers and Technical Summary of the Working Group I Report, Geneva, Switzerland.
68. IPCC (Intergovernmental Panel on Climate Change), 2001b, Climate change 2001: The scientific basis, Mitigation of Climate Change, Working Group III Report, Geneva, Switzerland.
69. IPCC (Intergovernmental Panel on Climate Change), 2003, Good practice guidance for land use, land-use change and forestry. Institute for Global Environmental Strategies, Hayama, Japan.
70. IPCC (Intergovernmental Panel on Climate Change), 2004, Good practice guidance. Cambridge University Press, Cambridge.
71. IPCC (Intergovernmental Panel on Climate Change), 2006, Guidelines for national greenhouse gas inventories. Vol. 4, Agriculture, forestry and other land use (AFLOLU). Institute for Global Environmental Strategies, Hayama, Japan.
72. IPCC (Intergovernmental Panel on Climate Change), 2007a, Climate change 2007: Working Group I, Fourth Assessment Report, Technical Summary, Geneva, Switzerland.
73. IPCC (Intergovernmental Panel on Climate Change), 2007b, Climate change 2007: Working Group II, Climate Change Impacts, Adaptation and Vulnerability, Technical Summary, Geneva, Switzerland.
74. IPCC (Intergovernmental Panel on Climate Change), 2007c, Climate change 2007: Working Group III, Mitigation of Climate Change, Technical Summary, Intergovernmental Panel on Climate Change, Geneva, Switzerland.
75. Jackson, R.B., Canadell, J., Ehleringer, J.R., Mooney, H.A., Sala, O.E., and Schulze, E.D., 1996, A global analysis of root distributions for terrestrial biomes, Oecologia. 108:389–411.
76. Joanneum Reserch, Union of Concerned Scientists, Woods Hole Research Centre and Instituto de Pesquisa Ambiental da Amazonia, 2006, Reducing emissions from deforestation in Developing countries: Potential policy approaches and positive incentives, Submission to the UNFCCC/SBSTA/2006/L.25.
77. Johnson, C.M., Zarin, D.J., and Johnson, A.H., 2000, Post-disturbance above-ground biomass accumulation in global secondary forests, Ecology. 81:1395–1401.
78. Kalara, Y.P. and Maynard, D.G., 1991, Methods manual for forest soil and plant analysis, Forestry Canada, Edmonton, Alberta.
79. Kale, M., Singh, S., Roy, P.S., Deosthali, V., and Ghole, V.S., 2004, Biomass equations of dominant species of dry deciduous forest in Shivpuri district, Madhya Pradesh, Current Science. 87:683–687.
80. Kangas, A. and Maltamo, M., 2006, Forest inventory methodology and applications, Vol. 10, Springer, Dordrecht, The Netherlands.
81. Karjalainen, T., Pussinen, A., Liski, J., Nabuurs, G.-J., Eggers, T., Lapvetelainen, T., and Kaipainen, T., 2003, Scenario analysis of the impacts of forest management and climate change on the European forest sector carbon budget, Forest policy and Economics. 5:141–155.
82. Kasischke, E.S., Melack, J.M., and Dobson, M.C., 1997, The use of imaging radar for ecological applications – a review, Remote Sensing of Environment. 59:141–156.
83. Kauppi, P., Sedjo, R., Apps, M., Cerri, C., Fujimori, T., Janzen, H., Krankina, O., Makundi, W., Marland, G., Masera, O., Nabuurs, G.J., Razali, W., and Ravindranath, N.H., 2001., Technical and economic potential of options to enhance, maintain and manage biological carbon reservoirs and geo-engineering, in Climate change: Mitigation, Intergovernmental panel on climate change, New York, Cambridge University Press, Cambridge.
84. 2 records from sites in the SIO air sampling network, in Trends: a compendium of data on global change, Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, Oak Ridge, TN.
85. Kimes, D.S., Ranson, K.J., Sun, G., and Blair, J.B., 2006, Predicting lidar measured forest vertical structure from multi-angle spectral data, Remote Sensing of Environment. 100:503–511.
86. Kirschbaum, M.U.F., Fischlin, A., Cannell, M.G.R., Cruz, R.V., Galinski, W., and Cramer, W.A., 1996, Climate Change Impacts on Forests, in Watson, R.T., Zinyowera, M.C., and Moss, R.H. (eds.), Climate change 1995: Impacts, adaptations and mitigation of climate change: Second assessment report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge.
87. Körner, C., Asshoff, R., Bignucolo, O., Hättenschwiler, S., Keel, S.G., Pel’ez-Riedl, S., Pepin, S., Siegwolf, R.T.W., and Zotz, G., 2005, Carbon flux and growth in mature deciduous forest trees exposed to elevated CO2, Science. 309(5739):1360–1362.
88. Labrecque, S., Fournier, R., Luther, J., and Piercey, D., 2004, A comparison for three approaches to map forest biomass from Landsat-TM and inventory data in Western Newfoundland, Canadian Aeronautics and Space Institute Tasking ref 4–05.
89. Lal, R., Kimble, J.M., and Follett, R.F. (eds.), 2001, Assessment methods for soil carbon, CRC/ Lewis Publishers, Boca Raton, FL.
90. Lamarque, J.-F., Kiehl, J.T., Brasseur, G.P., Butler, T., Cameron-Smith, P., Collins, W.D., Collins, W.J., Granier, C., Hauglustaine, D., Hess, P.G., Holland, E.A., Horowitz, L., Lawrence, M.G., McKenna, D., Merilees, P., Prather, M.J., Rasch, P.J., Rotman, D., Shindell, D., and Thornton, P., 2005, Assessing future nitrogen deposition and carbon cycle feedback using a multimodel approach: Analysis of nitrogen deposition, Journal of Geophysical Research. 110, D19303, DOI:10.1029/2005JD005825.
91. Lappi, J. and Kangas, A., 2006, Use of additional information, in Kangas, A. and Maltamo, M. (eds.), Forest inventory, methodology and applications. Springer, Dordrecht, The Netherlands.
92. Law, M.A. and Kelton, D., 2000, Simulation modeling and analysis, Third edition, McGraw-Hill, New York.
93. Lee, M.K., 2004, CDM information and guidebook. UNEP project CD4CDM, Roskilde, Denmark.
94. Lillesand, T.M. and Kiefer, R.W., 1994, Remote sensing and image interpretation. Wiley, New York.
95. Lillesand, T.M., Kiefer, R.W., and Chipman, J.W., 2004, Remote sensing and image interpretation, Fifth edition, Wiley, New York.
96. Lim, K.S. and Treitz, P.M., 2004, Estimation of above ground forest biomass from airborne discrete return laser scanner data using canopy-based quantile estimators, Scandinavian Journal for Forest Research. 19:558–570.
97. Liski, J., Palosuo, T., Peltoniemi, M., and Sievänen, R., 2005, Carbon and decomposition model Yasso for forest soils, Ecological Modelling. 189:168–182.
98. Loetsch, F., Zöhrer, F., and Haller, K.E., 1973, Forest inventory. Vol. 2. BLV Verlagsgesellschaft, Munich, Germany.
99. Lovell, J.L., Jupp, D.L.B., Culvenor, D.S., and Coops, N.C., 2003, Using airborne and ground-based ranging Lidar to measure canopy structure in Austrian forests, Canadian Journal for Remote Sensing. 29:607–622.
100. Lu, D., Mausel, P., Brondizio, E., and Moran, E., 2002, Above-ground biomass estimation of successional and mature forest using TM images in the Amazon Basin, Symposium on Geospatial Theory, Processing and Applications, Ottawa, Canada.
101. Lucas, R.M., Cronin, N., Lee, A., Moghaddam, M., Witte, C., and Tickle, P., 2006, Empirical relationship between AIRSAR backscatter and Lidar-derived forest biomass, Queensland, Australia, Remote Sensing of Environment. 100:407–425.
102. Lugo, A.E.J. and Brown, S., 1993, Management of tropical soils as sinks or sources of atmospheric carbon, Plant and Soil. 149:27–41.
103. MacDicken, K.G., 1997, A guide to monitoring carbon storage in forestry and agroforestry projects, Winrock International, Arlington, VA.
104. Macko, S.A., 1981, Stable nitrogen isotope rations as tracers of organic geochemical processes, Ph.D. thesis, University of Texas, Austin.
105. Majdi, H., 1996, Root sampling methods – applications and limitations of the minirhizotron technique, Plant and Soil. 185:255–258.
106. Mann, L.K., 1985, A regional comparison of carbon in cultivated and uncultivated alfisols and mollisols in the central United States, Geoderma. 36:241–253.
107. Schelhaas, M.J., van Esch, P.W., Groen, T.A., de Jong, B.H.J., Kanninen, M., Liski, J., Masera, O., Mohren, G.M.J., Nabuurs, G.J., Palosuo, T., Pedroni, L., Vallejo, A. and Vilén, T., 2004, CO2FIX V 3.1 – A modelling framework for quantifying carbon sequestration in forest ecosystems. Wageningen, Alterra, Alterrarapport 1068.
108. MEA (Millennium Ecosystem Assessment), 2005, Ecosystems and human well-being: Synthesis. Island Press, Washington, DC (also available at www.millenniummassessment.org).
109. Mikkelsen, B., 1995, Methods for development work and research – a guide for practitioners, Sage, New Delhi.
110. Misra, R., 1972, A comparative study of net primary productivity of dry deciduous forest and grassland of Varanasi, India, in Golley, P.M. and Golley, F.B. (eds.), Tropical ecology with and emphasis on organic production, University of Georgia, Athens, Georgia.
111. 2, Oecologia. 140:11–25.
112. Moura-Costa, P.M., Stuart, M., Pinard, M., and Phillips, G., 2000, Elements of a certification system for forest-based carbon offset projects, Mitigation and Adaptation Strategies for Global Change. 5:39–50.
113. Mokany, K., Raison, R.J., and Prokushkin, A.S., 2006, Critical analysis of root-shoot ratios in terrestrial biomes, Global Change Biology. 12:84–96.
114. Murali, K.S. and Bhat, D.M., 2005, Biomass estimation equations for tropical deciduous and evergreen forests, International Journal of Agricultural Resources, Governance and Ecology. 4:81–92.
115. Murthy, I.K., Hegde, G.T., Sudha, P., and Ravindranath, N.H., 2006, Methodological issues in developing a community forestry mitigation project in Mancherial forest division of Andhra Pradesh, India, Environmental Science and Policy. 9:525–537.
116. Muukkonen, P. and Heiskanen, J., 2006, Biomass estimation over a large area based on stand wise forest inventory data and ASTER and MODIS satellite data: A possibility to verify carbon inventories, Remote Sensing of Environment. DOI: 10.1016/J.rse.2006.10.011.
117. Myeong, S., David, J.N., and Michael, J.D., 2006, A temporal analysis of urban forest carbon storage using remote sensing, Remote Sensing of Environment. 101:277–282.
118. Myers, W.L. and Shelton, R.L., 1980, Survey methods for ecosystem management. Wiley, New York.
119. Myneni, R.B., Tucker, C.J., Asrar, G., and Keeling, C.D., 1998, Inter-annual variations in satellite-sensed vegetation index data from 1981 to 1991, Journal of Geophysical Research. 103(D6):6145–6160.
120. Næsset, E., 2002, Predicting forest stand characteristics with airborne scanning laser using a practical two-stage procedure and field data, Remote Sensing of Environment. 80:88–99.
121. Nagler, P.L., Cleverly, J., Glenn, E., Lampkin, D., Huete, A., and Wan, Z., 2005, Predicting riparian evapotranspiration from MODIS vegetation indices and meteorological data, Remote sensing of Environment. 94:17–30.
122. Nakicenovic, N., Alcamo, J., Davis, G., de Vries, B., Fenhann, J., Gaffin, S., Gregory, K., Grübler, A., Yong Jung, T., Kram, T., Lebre La Rovere, E., Michaelis, L., Mori, S., Morita, T., Pepper, W., Pitcher, H., Price, L., Riahi, K., Roehrl, A., Rogner, H., Sankovski, A., Schlesinger, M., Shukla, P., Smith, S., Swart, R., van Rooijen, S., Victor, N., and Dadi, Z., 2000, in Nakicenovic, N. and Swart, R (eds.), Emission scenarios: Special report of Working Group III of the 2000 Intergovernmental panel on climate change Network, Cambridge University Press, Cambridge.
123. Noble, I., Apps, M., Houghton, R., Lashof, D., Makundi, W., Murdiyarso, D., Murray, B., Sombroek, W., and Valentini, R., 2000, in MacDicken, K. and Manning, M. (eds.) Chapter 2: Implications of different definitions and generic issues, in IPCC 2000, Land use, land-use change and forestry, Special Report, Cambridge University Press, Cambridge.
124. Ogle, S.M., Breidt, F.J., and Paustian, K., 2005, Agricultural Management Impacts on Soil Organic Carbon Storage under Moist and Dry Climatic Conditions of Temperate and Tropical Regions, Biogeochemistry. 72:87–121.
125. Ostwald, M., 2002, GIS-based support system for decision making of local forest control Illustrated examples from Orissa, India, Environmental Management. 30:35–45.
126. Ostwald, M. and Chen, D., 2006, Land-use change: Impact of climate variability and policies among small scale farmers in the Loess Plateau, China, Land Use Policy. 23:361–371.
127. 2-enriched atmosphere, Nature. 411:469–472.
128. Parresol, B.R., 1999, Assessing tree and stand biomass: A review with examples and critical comparisons, Forest Science. 45:573–593.
129. Patenaude, G., Milne, R., and Dawson, T.P., 2005, Synthesis of remote sensing approaches for forest carbon estimation: Reporting to the Kyoto Protocol, Environmental Science and Policy. 8:161–178.
130. Paustian, K., Andren, O., Janzen, H.H., Lal, R., Smith, P., Tian, G., Tiessen, H., Van Noodwijk, M., and Woomer, P.L., 1997, Agricultural Soils as a sink to mitigate carbon dioxide emissions, Soil Use and Management. 13:230–244.
131. Pearson, T.R.H., Brown, S., and Ravindranath, N.H., 2005a, Integrating carbon benefit estimates into GEF projects, UNDP/GEF Capacity development and adaptation group, Guidelines.
132. Pearson, T., Walker, S., and Brown, S., 2005b, Sourcebook for land use, land-use change and forestry projects, Winrock International, Arlington, VA.
133. Petit, J.R., Jouzel, J., Raynaud, D., Barkov, N.I., Barnola, J.-M., Basile, I., Bender, M., Chappellaz, J., Davis, M., Delaygue, G., Delmotte, M., Kotlyakov, V.M., Legrand, M., Lipenkov, V.Y., Lorius, C., Pépin, L., Ritz, C., Saltzman, E., and Stievenard, M., 1999, Climate and atmospheric history of the past 420,000 years from the Vostok ice core, Antarctica, Nature. 399:429–435.
134. Ponce-Hernandez, R., Koohafkan, P., and Antoine, J., 2004, Assessing carbon stocks and modelling win–win scenarios of carbon sequestration through land-use changes, FAO Call No. 631.4 (E), FAO, Rome, Italy.
135. Porté, A. and Bartelink, H.H., 2002, Modelling mixed forest growth: A review of models for forest management, Ecological Modelling. 150:141–188.
136. Ravindranath, N.H. and Hall, D.O., 1995, Biomass, energy and environment – a developing country perspective from India, Oxford University Press, Oxford, 1995.
137. Ravindranath, N.H. and Sathaye, J., 2002, Climate change and developing countries, Kluwer Academic, Dordrecht, The Netherlands.
138. Ravindranath, N.H., Murthy, I.K., Chaturvedi, R.K., Andrasko, K., and Sathaye, J.A., 2007, Carbon price-driven forestry mitigation in India by land classification, Mitigation and Adaptation Strategies for Global Change. DOI. 10.1007/s11027-006-9063-4.
139. Ramachandran, A.A., Jayakumar, S., Mohamed Haroon, A.R., and Bhaskaran, A., 2007, Carbon management in forest floor: An agenda of 21st century in Indian forestry scenario, Indian Forester. January 133:25–40.
140. Reich, P.B., Hobbie, S.E., Lee, T., Ellsworth, D.S., West, J.B., Tilman, D., Knops, J.M.H., Naeem, S., and Trost, J., 2006, Nitrogen limitation constrains sustainability of ecosystem response to CO2, Nature. 440:922–925.
141. Reyes, G., Brown, S., Chapman, J., and Lugo, A.E., 1992, Wood densities of tropical tree species, USDA Forest Service, General Technical Report SO-88, Southern Forest Experiment Station, New Orleans, LA.
142. Richter, D.D., Markenwitz, D., Trembore, S.E., and Wells, C.G., 1999, Rapid accumulation and turnover of soil carbon in aggrading forests, Nature. 400:56–58.
143. Rosenqvist, Å., Milne, A., Lucas, R., Imhoff, M. and Dobson, C., 2003, A review of remote sensing technology in support of the Kyoto Protocol. Environmental Science and Policy. 6:441–455.
144. Rosillo-Calle, F., de Groot, P., Hemstock, S.L., and Woods, J., 2006, Biomass assessment handbook. Earthscan, London.
145. Running, S.W. and Hunt, E.R.J., 1993, Generalization of a forest ecosystem process model for other biomes, Biome-BGC, and an application for global-scale models, in Ehleringer, J.R. and Field, C.B. (eds.), Scaling physiological processes: Leaf to globe. Academic Press, San Diego, CA.
146. Running, S.W., Baldocchi, D.D., Turner, D.P., Gower, S.T., Bakwin, S., and Hibbard, K.A., 1999, A global terrestrial monitoring network, scaling tower fluxes with ecosystem modeling and EOS satellite data, Remote Sensing Environment. 70:108–127.
147. Rypdal, K. and Winiwarter, W., 2001, Uncertainties in Greenhouse Gas Inventories: Evaluation, comparability and implications, Environmental Science and Policy. 4:107–116.
148. Santantonio, D., Hermann, R.K., and Overton, W.S., 1997, Root biomass studies in forest ecosystems, Pedobiologia. 17:1–31.
149. Sanz, D.C., Caneill, J.-Y., de Lannoy, R., Markussen, P., and Rivero, C., Scowcroft, J., De Janeiro, V., 2005, Manual on Joint Implementation (JI) and Clean Development Mechanism (CDM) projects, Union of the electricity industry, Ref: 2005-030-303, Brussels.
150. Sathaye, J. and Mayers, S., 1995, Greenhouse gas mitigation assessment: A guidebook, Kluwer, Dordrecht, The Netherlands.
151. Sathaye, J. and Ravindranath, N.H., 1998, Climate Change Mitigation in the Energy and Forest Sectors of Developing Countries, Annual Review of Energy and Environment. 23:387–437.
152. Sathaye, J.A. and Andrasko, K., 2006, Special issue on estimation of baseline and leakage in carbon mitigation forestry projects, Mitigation and Adaptation Strategies for Global Change. DOI 10.1007/s11027-006-9057-2.
153. Schelhass, M.J., van Esch, P.W., Groen, T.A., de Jong, B.H.J., Kanninen, M., Liski, J., Masera, O., Mohren, G.M.J., Nabuurs, G.J., Palosuo, T., Pedroni, L., Vallejo, A., Vilen, T., 2004. CO2FIX V3.1.description of a model for quantifying carbon sequestration in forest ecosystems and wood products. ALTERRA Report 1068. ALTERRA, Wageningen.
154. Schmid, H.P., 1994, Source areas for scalars and scalar fluxes, Boundary Layer Meteorology. 67:293–318.
155. Schröter, D., Metzger, M.J., Cramer, W., and Leemans, R., 2004, Vulnerability assessment: Analysing the human–environment system in the face of global environmental change, Environmental Science Section Bulletin. 2:11–17.
156. SCOPE, 2006, The Global Carbon Cycle, Policy briefs, UNESCO, No. 2.
157. Seaquist, J.W., Olsson, L., and Ardö, J., 2003, A remote sensing-based primary production model for grassland biomes, Ecological Modelling. 169:131–155.
158. Shiver, B.D. and Borders, B.E., 1996, Sampling techniques for forest resource inventory. Wiley, New York.
159. Shugart, H.H., 1990, Using ecosystem models to assess the potential consequences of global climatic change, Trends in Ecological Evolution. 5:303–307.
160. Shugart, H.H. and West, D.C., 1980, Forest succession models, Bioscience. 30:308–313.
161. Skutsch, M., Bird, N., Trines, E., Dutschke, M., Frumhoff, P., de Jong, B., van Laake, P., Masera, O., and Mudiyarso, D., 2007, Clearing the way for reducing emissions from tropical deforestation, Environmental Science and Policy. 20:322–334.
162. 2-induced climate change: Simulation modeling experiments in eastern North America, Oecologia. 68:567–579.
163. Steininger, M.K., 2000, Satellite estimation of tropical secondary forest above-ground biomass: Data from Brazil and Bolivia, International Journal of Remote Sensing. 21:1139–1157.
164. Tamás, J. and Lénárt, C., 2006, Analysis of a small agricultural watershed using remote sensing techniques, International Journal of Remote Sensing. 27:3727–3738.
165. Tan, K., Piao, S., Peng, C., and Fang, J., 2007, Satellite-based estimation of biomass carbon stocks for northeast China’s forests between 1982 and 1999, Forest Ecology and Management. DOI. 10.1016/j.foreco.2006.12.018.
166. Todd, S.W., Hoffer, R.M., and Milchunas, D.G., 1998. Biomass estimation on grazed and ungrazed rangelands using spectral indices, International Journal of Remote Sensing. 19:427–438.
167. Tomppo, E., 2006, The Finnish multi-source national forest inventory: Small area estimation and map production, in Kangas, A. and Maltamo, M. (eds.), Forest Inventory, Methodology and applications, Springer, Dordrecht, The Netherlands.
168. Ugalde, X. and Perez, X., 2001, Mean annual volume increment of selected industrial forest plantation species, FAO, Rome, Italy.
169. UNEP (United Nations Environment Programme), 2002, Global Environment outlook 3: Past, present and future perspectives, Earthscan, London/Sterling, VA.
170. UNFCCC, 2002, Methodological issues land use, land-use change and forestry: Definitions and modalities for including afforestation and reforestation activities under article 12 of the Kyoto Protocol in the first commitment period: Options paper on modalities for addressing baselines, additionality and leakage, Bonn.
171. UNFCCC, 2006, Background paper for the workshop on reducing emissions from deforestation in developing countries, working paper No. 1.
172. Usher, M.B., 1991, Scientific requirements of monitoring programme, in Goldsmith, F.B. (ed.), Monitoring for conservation, Chapman & Hall, London.
173. Vine, E. and Sathaye, J., 1999, Guidelines for the Monitoring, Evaluation, Reporting, Verification and Certification of Energy-Efficiency Projects for Climate Change Mitigation. LBNL-41543, Lawrence Berkeley National Laboratory, Berkeley, CA.
174. Watson, R., Noble, I.R., Bolin, B., Ravindranath, N.H., Verardo, D.J., and Dokken, D.J., 2000, Land use, land-use change, and forestry, IPCC special report, Cambridge University Press, Cambridge.
175. WBGU, World in transition: Strategies for managing Global Environmental Risks German Advisory Council on Global Change Annual Report 1998, 2000, Springer, Berlin.
176. Weaver, J.E. and Darland, R.W., 1949, Quantitative study of root systems in different soil types, Science. 110:164–165.
177. Wenger, K.F. (ed.), 1984, Forestry handbook, Second edition, Wiley, New York.
178. White, A., Cannel, M.G.R., and Friend, A.D., 1999, Climate change impacts on ecosystems and the terrestrial carbon sink: A new assessment, Global Environment Change. 9:S3-S19.
179. Whittaker, R.H. and Likens, G.E., 1973, Carbon in the biota, in Woodwell, G.M. and Pecan, E.V. (eds.), Carbon and the biosphere, CONF 720510. US National Technical Information Service, Springfield, VA, pp. 281–302.
180. Winiwarter, W. and Rypdal, K., 2001, Assessing the uncertainty associated with national greenhouse gas emission inventories: A case study for Austria, Atmospheric Environment. 35:5425–5440.
181. 2 enrichment from planting through canopy closure, Global Change Biology. 11:644–656.
182. Wofsy, S.C., Goulden, M.L., and Munger, J.W., 1993, Net exchange of CO2 in a mid-latitude forest, Science. 260:1314–1317.
183. Woodward, F.I., 1987, Climate and plant distribution. Cambridge University Press, Cambridge.
184. Wylie, B.K., Fosnight, E.A., Gilmanov, T.G., Frank, A.B., Morgan, J.A., Haferkamp, M.R., and Meyers, T.P., 2007, Adaptive data-driven model for estimating carbon fluxes in the Northern Great Plains, Remote Sensing of Environment. 106:399–413.
185. Zheng, D., Rademacher, J., Chen, J., Crow, T., Bresee, M., Le Moine, J. and Ryu, S.-R., 2004, Estimating aboveground biomass using Landsat 7 ETM + data across a managed landscape in northern Wisconsin, USA, Remote Sensing of Environment. 93:402–411.