TY - JOUR
T1 - Recommendations for the use of tree models to estimate national forest biomass and assess their uncertainty
AU - Henry, Matieu
AU - Cifuentes Jara, Miguel
AU - Réjou-Méchain, Maxime
AU - Piotto, Daniel
AU - Michel Fuentes, José María
AU - Wayson, Craig
AU - Alice Guier, Federico
AU - Castañeda Lombis, Héctor
AU - Castellanos López, Edwin
AU - Cuenca Lara, Ruby
AU - Cueva Rojas, Kelvin
AU - Del Águila Pasquel, Jhon
AU - Duque Montoya, Álvaro
AU - Fernández Vega, Javier
AU - Jiménez Galo, Abner
AU - López, Omar R.
AU - Marklund, Lars Gunnar
AU - Milla, Fabián
AU - de Jesús Návar Cahidez, José
AU - Malavassi, Edgar Ortiz
AU - Pérez, Johnny
AU - Ramírez Zea, Carla
AU - Rangel García, Luis
AU - Rubilar Pons, Rafael
AU - Sanquetta, Carlos
AU - Scott, Charles
AU - Westfall, James
AU - Zapata-Cuartas, Mauricio
AU - Saint-André, Laurent
N1 - Publisher Copyright:
© 2015, The Author(s).
PY - 2015/9/6
Y1 - 2015/9/6
N2 - Key message: Three options are proposed to improve the accuracy of national forest biomass estimates and decrease the uncertainty related to tree model selection depending on available data and national contexts. Introduction: Different tree volume and biomass equations result in different estimates. At national scale, differences of estimates can be important while they constitute the basis to guide policies and measures, particularly in the context of climate change mitigation. Method: Few countries have developed national tree volume and biomass equation databases and have explored its potential to decrease uncertainty of volume and biomasttags estimates. With the launch of the GlobAllomeTree webplatform, most countries in the world could have access to country-specific databases. The aim of this article is to recommend approaches for assessing tree and forest volume and biomass at national level with the lowest uncertainty. The article highlights the crucial need to link allometric equation development with national forest inventory planning efforts. Results: Models must represent the tree population considered. Data availability; technical, financial, and human capacities; and biophysical context, among other factors, will influence the calculation process. Conclusion: Three options are proposed to improve accuracy of national forest assessment depending on identified contexts. Further improvements could be obtained through improved forest stratification and additional non-destructive field campaigns.
AB - Key message: Three options are proposed to improve the accuracy of national forest biomass estimates and decrease the uncertainty related to tree model selection depending on available data and national contexts. Introduction: Different tree volume and biomass equations result in different estimates. At national scale, differences of estimates can be important while they constitute the basis to guide policies and measures, particularly in the context of climate change mitigation. Method: Few countries have developed national tree volume and biomass equation databases and have explored its potential to decrease uncertainty of volume and biomasttags estimates. With the launch of the GlobAllomeTree webplatform, most countries in the world could have access to country-specific databases. The aim of this article is to recommend approaches for assessing tree and forest volume and biomass at national level with the lowest uncertainty. The article highlights the crucial need to link allometric equation development with national forest inventory planning efforts. Results: Models must represent the tree population considered. Data availability; technical, financial, and human capacities; and biophysical context, among other factors, will influence the calculation process. Conclusion: Three options are proposed to improve accuracy of national forest assessment depending on identified contexts. Further improvements could be obtained through improved forest stratification and additional non-destructive field campaigns.
KW - Forest carbon
KW - Forest management
KW - Methodology
KW - National Forest Inventory
UR - http://www.scopus.com/inward/record.url?scp=84938651729&partnerID=8YFLogxK
U2 - 10.1007/s13595-015-0465-x
DO - 10.1007/s13595-015-0465-x
M3 - Article
AN - SCOPUS:84938651729
SN - 1286-4560
VL - 72
SP - 769
EP - 777
JO - Annals of Forest Science
JF - Annals of Forest Science
IS - 6
ER -