Skip to Main Content
Assessment of national biomass in complex forests and technical capacity scenariosAuthor(s): Matieu Henry; Javier G. P. Gamarra; Gael Sola; Luca Birigazzi; Emily Donegan; Julian Murillo; Tommaso Chiti; Nicolas Picard; Miguel Cifuentes-Jara; S Sandeep; Laurent Saint-André
Source: In: Stanton, Sharon M.; Christensen, Glenn A., comps. 2015. Pushing boundaries: new directions in inventory techniques and applications: Forest Inventory and Analysis (FIA) symposium 2015. 2015 December 8–10; Portland, Oregon. Gen. Tech. Rep. PNW-GTR-931. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. p 64.
Publication Series: General Technical Report (GTR)
Station: Pacific Northwest Research Station
PDF: Download Publication (190.0 KB)
DescriptionUnderstanding forest ecosystems is paramount for their sustainable management and for the livelihoods and ecosystem services which depend on them. However, the complexity and diversity of these systems poses a challenge to interpreting data patterns. The availability and accessibility of data and tools often determine the method selected for forest assessment. Capacity building is fundamental to ensure that sampling methods, data analysis and use of tools are efficiently and sustainably appropriated. FAO has trained people from over 30 countries to develop tools and databases to improve forest resource assessment. In highly diverse inventory plots in the tropics, the use of one single pantropical allometric equation (models for the estimation of forest elements such as biomass and carbon stock) for all trees inventoried is the norm in many countries. However these equations present large biases and/or uncertainties for several tropical regions of the world, due to their compositional and structural complexity, and their limited representation in the original datasets used to build the pantropical model. In order to contribute to the elimination of bias and increasing accuracy, we propose a combined approach to stand biomass estimation following statistical methods that depends on both the availability of equations and/or destructive data, and the existing capacities in the country. We illustrate the methods through different scenarios of existing technical capabilities and data availability, taking GlobAllomeTree as a source for allometric equations. GlobAllomeTree provides access to existing available allometric equations and relevant documentation, supports the development of new models and builds a network of national experts for data-sharing and collaboration. The different alternative approaches proposed present a realistic roadmap towards the reduction of uncertainties and biases in reporting national stocks.
- Visit PNW's Publication Request Page to request a hard copy of this publication.
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationHenry, Matieu; Gamarra, Javier G. P.; Sola, Gael; Birigazzi, Luca; Donegan, Emily; Murillo, Julian; Chiti, Tommaso; Picard, Nicolas; Cifuentes-Jara, Miguel; Sandeep, S; Saint-André, Laurent. 2015. Assessment of national biomass in complex forests and technical capacity scenarios. In: Stanton, Sharon M.; Christensen, Glenn A., comps. 2015. Pushing boundaries: new directions in inventory techniques and applications: Forest Inventory and Analysis (FIA) symposium 2015. 2015 December 8–10; Portland, Oregon. Gen. Tech. Rep. PNW-GTR-931. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. p 64.
- Tree height and tropical forest biomass estimation
- Height-diameter allometry of tropical forest trees
- Approaches to evaluating climate change impacts on species: A guide to initiating the adaptation planning process
XML: View XML