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

GlobAllomeTree is an international platform for tree allometric equations. It is the first worldwide web platform designed to facilitate the access of the tree allometric equation and to facilitate the assessment of the tree biometric characteristics for commercial volume, bio-energy or carbon cycling. The webplatform presents a database containing tree allometric equations, a software called Fantallomatrik, to facilitate the comparison and selection of the equations, and documentation to facilitate the development of new tree allometric models, improve the evaluation of tree and forest resources and improve knowledge on tree allometric equations. In the Fantallometrik software, equations can be selected by country, ecological zones, input parameters, tree species, statistic parameters and outputs. The continuously updated database currently contains over 5000 tree allometric equations classified according to 73 fields. The software Fantallometrik can be also used to compare equations, insert new data and estimate the selected output variables using field inventory. The GlobAllomeTree products are freely available at the URL: http://globallometree.org for a range of users including foresters, project developers, scientist, student and government staff.

[1]  R. Valentini,et al.  Implementation of REDD+ in sub-Saharan Africa: state of knowledge, challenges and opportunities , 2011, Environment and Development Economics.

[2]  James B. Domingo,et al.  Estimates of live-tree carbon stores in the Pacific Northwest are sensitive to model selection , 2011, Carbon balance and management.

[3]  J. Navar.  Biomass component equations for Latin American species and groups of species , 2009, Annals of Forest Science.

[4]  Martial Bernoux,et al.  Estimating tree biomass of sub-Saharan African forests: a review of available allometric equations. , 2011 .

[5]  Not Indicated,et al.  Global forest land-use change from 1990 to 2005 : Initial results from a global remote sensing survey , 2011 .

[6]  Philippe Ciais,et al.  Update on CO2 emissions , 2010 .

[7]  Achard Frederic,et al.  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 , 2010 .

[8]  E. Tomppo.  National Forest Inventories : pathways for common reporting , 2010 .

[9]  Ronald E. McRoberts,et al.  Comprar National Forest Inventories · Pathways for Common Reporting | Tomppo, Erkki | 9789048132324 | Springer , 2010 .

[10]  F. Achard,et al.  Challenges to estimating carbon emissions from tropical deforestation , 2007 .

[11]  M. Jenkins,et al.  Environment Programme Forestry Briefing 16 December 2007 Potential and Challenges of Payments for Ecosystem Services from Tropical Forests , 2007 .

[12]  J. Chambers,et al.  Tree allometry and improved estimation of carbon stocks and balance in tropical forests , 2005, Oecologia.

[13]  Manfred J. Lexer,et al.  EditorialDecision support for multiple purpose forestry , 2005 .

[14]  Raisa Mäkipää,et al.  Biomass and stem volume equations for tree species in Europe , 2005, Silva Fennica Monographs.

[15]  Richard A. Birdsey,et al.  Comprehensive database of diameter-based biomass regressions for North American tree species , 2004 .

[16]  Omar Masera,et al.  Modeling carbon sequestration in afforestation, agroforestry and forest management projects: the CO2FIX V.2 approach , 2003 .

[17]  V. Dale,et al.  Estimating stand biomass in the Tamaulipan thornscrub of northeastern Mexico , 2002 .

[18]  Annabel Porté,et al.  Modelling mixed forest growth: a review of models for forest management , 2002 .

[19]  C. Kleinn,et al.  New technologies and methodologies for national forest inventories , 2002 .

[20]  M. Ter-Mikaelian,et al.  Biomass equations for sixty-five North American tree species , 1997 .

[21]  R. Birdsey,et al.  Biomass Estimation for Temperate Broadleaf Forests of the United States Using Inventory Data , 1997, Forest Science.

[22]  I. Brown,et al.  Uncertainty in the biomass of Amazonian forests: An example from Rondônia, Brazil , 1995 .

[23]  Jerome K. Vanclay,et al.  Modelling Forest Growth and Yield: Applications to Mixed Tropical Forests , 1994 .

[24]  Ariel E. Lugo,et al.  Biomass Estimation Methods for Tropical Forests with Applications to Forest Inventory Data , 1989, Forest Science.