GlobAllomeTree: International platform for tree allometric equations to support volume, biomass and carbon assessment

IForest

Volumn 6, Issue 6, 2013, Pages 326-330

  Henry, Matieu ^a   Bombelli, Antonio ^b   Trotta, Carlo ^c   Alessandrini, Alfredo ^c   Birigazzi, Luca ^a   Sola, Gael ^a   Vieilledent, Ghislain ^d   Santenoise, Philippe ^a   Longuetaud, Fleur ^g   Valentini, Riccardo ^b,c   Picard, Nicolas ^d   Saint André, Laurent ^e,f  

^a FOOD AND AGRICULTURE ORGANIZATION OF THE UNITED NATIONS   (Italy)

^b CENTRO EURO MEDITERRANEO SUI CAMBIAMENTI CLIMATICI   (Italy)

^c UNIVERSITY OF TUSCIA   (Italy)

^d CIRAD   (France)

^e UMR ECO SOLS   (France)

^f Centre INRA de Nancy   (France)

^g LERFoB   (France)

Author keywords

Communication; Database; Forest assessment; LULUCF; Software; Trees outside forests

Indexed keywords

EID: 84887285252     PISSN: None     EISSN: 19717458     Source Type: Journal    
DOI: 10.3832/ifor0901-006     Document Type: Article

References (29)

1. Brown S, Gillespie AJR, Lugo AE (1989). Biomass estimation methods for tropical forests with applications to forest inventory data. Forest Science 35: 881-902. [online] URL: http://www. winrock.org/ecosystems/files/Brown_Gillespie_e t_al_1989.pdf
2. Brown I, Martinelli LA, Thomas W, Moreira MZ, Cid Ferreira C, Victoria RA (1995). Uncertainty in the biomass of Amazonian forests: An example from Rondônia, Brazil. Forest Ecology and Management 75 (1-3): 175-189.-doi: 10.1016/ 0378-1127(94)03512-U
3. Chave J, Andalo C, Brown S, Cairns MA, Chambers JQ, Eamus D, Fölster H, Fromard F, Higuchi N, Kira T, Lescure JP, Nelson BW, Ogawa H, Puig H, Riéra B, Yamakura T (2005). Tree allometry and improved estimation of carbon stocks and balance in tropical forests. Oecologia 145 (1): 87-99.-doi: 10.1007/s00442-005-0100-x
4. de Jong B, Rojas-García F, Olguín-Álvarez M, Martínez-Zurimendi P (2009). Base de datos con ecuaciones alométricas de árboles y arbustos de bosques y selvas de México. El colegio de la frontera sur unidad, Villahermosa, Tabasco, Mexico. [in Spanish]
5. FAO/JRC (2011). Global forest land-use change from 1990 to 2005. Initial results from a global remote sensing survey. Summary report, pp. 8. [online] URL: http://foris.fao.org/static/data/fra 2010/RSS_Summary_Report_lowres.pdf
6. 2 emissions. Nature Geoscience 3 (12): 811-812.-doi: 10.1038/ngeo1022
7. GOFC-GOLD (2010). A sourcebook of methods and procedures for monitoring and reporting anthropogenic greenhouse gas emissions and removals caused by deforestation, gains and losses of carbon stocks in forests remaining forests, and forestation. GOFC-GOLD Project Office, Natural Resources Canada, Alberta, Canada, pp. 196. [online] URL: http://www.gofc-gold.uni-jena.de/ redd/sourcebook/Sourcebook_Version_Nov_200 9_cop15-1.pdf
8. Henry M (2010). Carbon stocks and dynamics in sub-Saharan Africa. Institute of Technology for Life, Food and Environmental Sciences (Agro-ParisTech), Paris, France and University of Tuscia, Viterbo, Italy, pp. 433.
9. Henry M, Maniatis D, Gitz V, Huberman D, Valentini R (2011a). Implementation of REDD+ in sub-Saharan Africa: state of knowledge, challenges and opportunities. Environment and Development Economics 16 (4): 381-404.-doi: 10.1017/S1355770X11000155
10. Henry M, Picard N, Manlay R, Valentini R, Bernoux M, Saint-André L (2011b). Estimating tree biomass of sub-Saharan African forests: a review of available allometric equations. Silva Fennica Monographs 45:1-94. [online] URL: http://www.metla.fi/silvafennica/full/sf45/sf4534 77.pdf
11. Jenkins JC, Chojnacky DC, Heath LS, Birdsey RA (2003). Comprehensive database of diameter-based biomass regressions for North American tree species. GTR-NE-31, Northeastern Research Station, USDA Forest Service, Newtown Square, PA, USA, pp. 45.
12. Kleinn C (2002). New technologies and methodologies for National forest inventories. Unasylva 210. [online] URL: ftp://ftp.fao.org/docrep/fao/ 005/y4001e/y4001e01.pdf
13. Masera OR, Garza-Caligaris J, Kanninen M, Karjalainen T, Liski J, Nabuurs G, Pussinen A, de Jong B, Mohren G (2003). Modeling carbon sequestration in afforestation, agroforestry and forest management projects: the CO2FIX V.2 approach. Ecological Modelling 164 (2-3): 177-199.-doi: 10.1016/S0304-3800(02)00419-2
14. Melson SL, Harmon ME, Fried JS, Domingo JB (2011). Estimates of live-tree carbon stores in the Pacific Northwest are sensitive to model selection. Carbon Balance and Management 6 (1): 2.-doi: 10.1186/1750-0680-6-2
15. Nagel J, Schmidt M (2003). The single tree model BWINPro, a keycomponent for silvicultural decision support. In: Proceedings of the Conference "Decision support for multiple purpose forestry. A transdisciplinary conference on the development and application of decision support tools for forest management" (Vacik H ed). University of Natural Resources and Applied Life Sciences, Vienna (Austria) 23-25 April 2003, pp. 1-9. [CD-Rom]
16. Nàvar J, Méndez E, Dale V (2002). Estimating stand biomass in the Tamaulipan thornscrub of northeastern Mexico. Annals of Forestry Science 59 (8): 813-821.-doi: 10.1051/forest:2002079
17. Návar J (2009). Biomass component equations for Latin American species and groups of species. Annals of Forest Science 66 (2): 208.-doi: 10.1051/forest/2009001
18. Picard N, Saint-André L, Henry M (2012). Manuel de construction d́equations allométriques pour l'estimation du volume et la biomasse des arbres. Centre de Coopération Internationale en Recherche Agronomique pour le Développement, Food and Agriculture Organization of the United Nations, Rome, Italy, pp. 211. [in French]
19. Porté A, Bartelink HH (2002). Modelling mixed forest growth: a review of models for forest management. Ecological Modelling 150 (1-2): 141-188.-doi: 10.1016/S0304-3800(01)00476-8
20. Ramankutty N, Gibbs HK, Achard F, DeFries R, Foley JA, Houghton RA (2007). Challenges to estimating carbon emissions from tropical deforestation. Global Change Biology 13 (1): 51-66.-doi: 10.1111/j.1365-2486.2006.01272.x
21. Richards M, Jenkins M (2007). Potential and challenges of payments for ecosystem services from tropical forests. Forestry Briefings 16: 8. [online] URL: http://www.odi.org.uk/sites/odi. org.uk/files/odi-assets/publications-opinion-files/ 816.pdf
22. Schroeder P, Brown S, Mo J, Birdsley R, Cieszewski C (1997). Biomass estimation for temperate broadleafforests of the United States using inventory data. Forest Science 43 (3): 424-434.
23. Ter-Mikaelian MT, Korzukhin MD (1997). Biomass equations for sixty-five North American tree species. Forest Ecology and Management 97: 1-24.-doi: 10.1016/S0378-1127(97)00019-4
24. Tomppo E, Gschwantner T, Lawrence M (2010). National Forest Inventories: pathways for common reporting. Lavoisier, Paris, France, pp. 672.
25. Trotta C, Henry M (2012). Tutorial. Fantallometrik Software (version 1), pp. 34. [online] URL: http://www.globallometree.org/media/cms_page _media/6/Tutorial_fantallometrik.pdf
26. Trotta C, Henry M, Birigazzi L, Picard N, Sola G, Valentini R, Baldasso M, Saint-André L (2013). Fantallometrik software: assessing volume, biomass and carbon stocks for trees and forests. Journal of Systems and Software. [submitted]
27. Vanclay JK (1994). Modelling forest growth and yield: applications to mixed tropical forests. ePublications@SCU, Southern Cross University Library, School of Environmental Science and Management Papers, CAB International, Wallingford, UK, pp. 330. [online] URL: http://epubs.scu.edu.au/cgi/viewcontent.cgi?article= 1538&context=esm_pubs
28. Wunder S (2005). Payments for ecosystem services: some nuts and bolts. Jakarta. Occasional Paper No. 42, CIFOR, Jakarta, Indonesia, pp. 32. [online] URL: http://www.cifor.org/publications/ pdf_files/OccPapers/OP-42.pdf
29. Zianis D, Petteri Muukkonen, Mäkipää R, Mencuccini M (2005). Biomass and stem volume equations for tree species in Europe. Silva Fennica Monographs 4: 63. [online] URL: http://www.metla.fi/silvafennica/full/smf/smf004.pdf