Web of Science: 124 cites, Scopus: 126 cites, Google Scholar: cites
Estimations of isoprenoid emission capacity from enclosure studies : measurements, data processing, quality and standardized measurement protocols
Niinemets, Ülo (Eesti Maaülikool)
Kuhn, U. (Forschungszentrum Jülich. Institut fur Energie und Klimaforschung)
Harley, P. C. (National Center for Atmospheric Research (U.S.))
Staudt, M. (Centre d'Ecologie Fonctionnelle et Evolutive)
Arneth, Almut (Karlsruhe Institute of Technology)
Cescatti, Alessandro (Institute for Environment and Sustainability (European Commission. Joint Research Centre))
Ciccioli, P. (Consiglio Nazionale delle Ricerche. Istituto di Metodologie Chimiche)
Copolovici, L. (Eesti Maaülikool)
Geron, C. (United States. Environmental Protection Agency.)
Guenther, A. (National Center for Atmospheric Research (U.S.))
Kesselmeier, J. (Max-Planck-Institut für Chemie. Biogeochemistry Department)
Lerdau, M. T. (Department of Environmental Sciences, University of Virginia)
Monson, R. K. (University of Colorado. Department of Ecology and Evolutionary Biology)
Peñuelas, Josep (Centre de Recerca Ecològica i d'Aplicacions Forestals)

Data: 2011
Resum: The capacity for volatile isoprenoid production under standardized environmental conditions at a certain time (ES, the emission factor) is a key characteristic in constructing isoprenoid emission inventories. However, there is large variation in published ES estimates for any given species partly driven by dynamic modifications in ES due to acclimation and stress responses. Here we review additional sources of variation in ES estimates that are due to measurement and analytical techniques and calculation and averaging procedures, and demonstrate that estimations of ES critically depend on applied experimental protocols and on data processing and reporting. A great variety of experimental setups has been used in the past, contributing to study-to-study variations in ES estimates. We suggest that past experimental data should be distributed into broad quality classes depending on whether the data can or cannot be considered quantitative based on rigorous experimental standards. Apart from analytical issues, the accuracy of ES values is strongly driven by extrapolation and integration errors introduced during data processing. Additional sources of error, especially in meta-database construction, can further arise from inconsistent use of units and expression bases of ES. We propose a standardized experimental protocol for BVOC estimations and highlight basic meta-information that we strongly recommend to report with any ES measurement. We conclude that standardization of experimental and calculation protocols and critical examination of past reports is essential for development of accurate emission factor databases.
Ajuts: Ministerio de Ciencia e Innovación CSD2008-00040
Ministerio de Ciencia e Innovación CGL2006-04025/BOS
Drets: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. Creative Commons
Llengua: Anglès
Document: Article ; recerca ; Versió publicada
Publicat a: Biogeosciences, Vol. 8 (2011) , p. 2209-2246, ISSN 1726-4189

DOI: 10.5194/bg-8-2209-2011

38 p, 5.8 MB

El registre apareix a les col·leccions:
Documents de recerca > Documents dels grups de recerca de la UAB > Centres i grups de recerca (producció científica) > Ciències > CREAF (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Articles > Articles de recerca
Articles > Articles publicats

 Registre creat el 2017-11-15, darrera modificació el 2022-07-01

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