Leaf phenology as one important driver of seasonal changes in isoprene emissions in central Amazonia
Author
Alves, Eliane G.Tóta, Julio
Turnipseed, Andrew
Guenther, Alex B.
Vega Bustillos, José Oscar W.
Santana, Raoni A.
Cirino, Glauber G.
Tavares, Julia V.
Lopes, Aline P.
Nelson, Bruce W.
de Souza, Rodrigo A.
Gu, Dasa
Stavrakou, Trissevgeni
Adams, David K.
Wu, Jin
Saleska, Scott
Manzi, Antonio O.
Affiliation
Univ Arizona, Ecol & Evolutionary Biol DeptIssue Date
2018-07-03
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COPERNICUS GESELLSCHAFT MBHCitation
Alves, E. G., Tóta, J., Turnipseed, A., Guenther, A. B., Vega Bustillos, J. O. W., Santana, R. A., Cirino, G. G., Tavares, J. V., Lopes, A. P., Nelson, B. W., de Souza, R. A., Gu, D., Stavrakou, T., Adams, D. K., Wu, J., Saleska, S., and Manzi, A. O.: Leaf phenology as one important driver of seasonal changes in isoprene emissions in central Amazonia, Biogeosciences, 15, 4019-4032, https://doi.org/10.5194/bg-15-4019-2018, 2018.Journal
BIOGEOSCIENCESRights
© Author(s) 2018. This work is distributed under the Creative Commons Attribution 4.0 License.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Isoprene fluxes vary seasonally with changes in environmental factors (e.g., solar radiation and temperature) and biological factors (e.g., leaf phenology). However, our understanding of the seasonal patterns of isoprene fluxes and the associated mechanistic controls is still limited, especially in Amazonian evergreen forests. In this paper, we aim to connect intensive, field-based measurements of canopy isoprene flux over a central Amazonian evergreen forest site with meteorological observations and with tower-mounted camera leaf phenology to improve our understanding of patterns and causes of isoprene flux seasonality. Our results demonstrate that the highest isoprene emissions are observed during the dry and dry-to-wet transition seasons, whereas the lowest emissions were found during the wet-to-dry transition season. Our results also indicate that light and temperature cannot totally explain isoprene flux seasonality. Instead, the camera-derived leaf area index (LAI) of recently mature leaf age class (e.g., leaf ages of 3-5 months) exhibits the highest correlation with observed isoprene flux seasonality (R-2 = 0.59, p < 0.05). Attempting to better represent leaf phenology in the Model of Emissions of Gases and Aerosols from Nature (MEGAN 2.1), we improved the leaf age algorithm by utilizing results from the camera-derived leaf phenology that provided LAI categorized into three different leaf ages. The model results show that the observations of age-dependent isoprene emission capacity, in conjunction with camera-derived leaf age demography, significantly improved simulations in terms of seasonal variations in isoprene fluxes (R-2 = 0.52, p < 0.05). This study highlights the importance of accounting for differences in isoprene emission capacity across canopy leaf age classes and identifying forest adaptive mechanisms that underlie seasonal variation in isoprene emissions in Amazonia.Note
Open access journal.ISSN
1726-4189Version
Final published versionSponsors
DOE-BER through Brookhaven National Laboratory [DE-SC00112704]Additional Links
https://www.biogeosciences.net/15/4019/2018/https://www.biogeosciences.net/15/4019/2018/bg-15-4019-2018-supplement.pdf
ae974a485f413a2113503eed53cd6c53
10.5194/bg-15-4019-2018
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Except where otherwise noted, this item's license is described as © Author(s) 2018. This work is distributed under the Creative Commons Attribution 4.0 License.