Comment on egusphere-2023-168 Article Swipe
Eliane Gomes Alves
,
Raoni Aquino Silva de Santana
,
Cléo Quaresma Dias-JÃonior
,
Santiago BotÃa
,
Tyeen Taylor
,
Ana Maria Yáñez-Serrano
,
JÃ ⁄ rgen Kesselmeier
,
Pedro Ivo Lembo Silveira de Assis
,
Giordane Martins
,
Rodrigo Augusto Ferreira De Souza
,
Sérgio Duvoisin JÃonior
,
Alex Guenther
,
Dasa Gu
,
Anywhere Tsokankunku
,
Matthias Sörgel
,
Bruce Nelson
,
Davieliton Pinto
,
Shujiro Komiya
,
Diogo Martins Rosa
,
Bettina Weber
,
Cybelli G. G. Barbosa
,
Michelle Robin
,
Kenneth J. Feeley
,
Álvaro Duque
,
Viviana Londoño Lemos
,
Maria Paula Contreras
,
Álvaro Idárraga
,
Norberto LÃ pez A.
,
Chad E. Husby
,
Brett Jestrow
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.5194/egusphere-2023-168-rc1
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.5194/egusphere-2023-168-rc1
Abstract. Isoprene is a chemical compound emitted naturally by soil, microorganisms, plants, and animals into the atmosphere. But plants are the largest emission source, and the amount of emission depends on plant species, weather conditions, and environmental conditions, including exposure to environmental stresses such as heat and drought. Isoprene is very reactive in the atmosphere and is involved in atmospheric physicochemical processes that can impact atmospheric chemistry, air quality, and regional climate. Quantification and understanding of the atmospheric processes influenced by isoprene result from a combination of observational experiments and estimates obtained from computational models. However, only a few long-term observational experiments have been conducted in the largest source of isoprene to the global atmosphere – the Amazon rainforest, and there are still uncertainties in the model estimates. Recent experiments have also shown that the models have greater uncertainty when estimating intra- and inter-annual variations in isoprene. This study aimed to improve our understanding of isoprene emission from a central Amazonian site by considering biological and environmental factors influencing emission on intra- and interannual time scales. By combining observational datasets, we adapted a widely used computational model of isoprene emission to observed conditions in the field. Our observations indicated that isoprene emission was not as high as the model estimated when the forest experienced environmental stress, such as heat and drought, in the 2015 El-niño year. In addition, observations revealed that the model performed well when diurnal variations were analyzed but not when long-term variations occurred. The performance for estimating intra- and inter-annual isoprene emission improved when the model was modified on two biological factors – (i) the amount of different leaf ages throughout the year and (ii) the emission rates of these different leaf ages. This shows that isoprene emission estimates can be improved when biological processes are mechanistically incorporated into the model.
Related Topics
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Metadata
- Type
- peer-review
- Language
- en
- Landing Page
- https://doi.org/10.5194/egusphere-2023-168-rc1
- OA Status
- gold
- References
- 35
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4323356665
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4323356665Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.5194/egusphere-2023-168-rc1Digital Object Identifier
- Title
-
Comment on egusphere-2023-168Work title
- Type
-
peer-reviewOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2023Year of publication
- Publication date
-
2023-03-07Full publication date if available
- Authors
-
Eliane Gomes Alves, Raoni Aquino Silva de Santana, Cléo Quaresma Dias-JÃonior, Santiago BotÃa, Tyeen Taylor, Ana Maria Yáñez-Serrano, Jà ⁄ rgen Kesselmeier, Pedro Ivo Lembo Silveira de Assis, Giordane Martins, Rodrigo Augusto Ferreira De Souza, Sérgio Duvoisin JÃonior, Alex Guenther, Dasa Gu, Anywhere Tsokankunku, Matthias Sörgel, Bruce Nelson, Davieliton Pinto, Shujiro Komiya, Diogo Martins Rosa, Bettina Weber, Cybelli G. G. Barbosa, Michelle Robin, Kenneth J. Feeley, Álvaro Duque, Viviana Londoño Lemos, Maria Paula Contreras, Álvaro Idárraga, Norberto Là pez A., Chad E. Husby, Brett JestrowList of authors in order
- Landing page
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https://doi.org/10.5194/egusphere-2023-168-rc1Publisher landing page
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.5194/egusphere-2023-168-rc1Direct OA link when available
- Concepts
-
Isoprene, Environmental science, Atmospheric sciences, Amazonian, Atmosphere (unit), Amazon rainforest, Rainforest, Atmospheric chemistry, Climatology, Meteorology, Ecology, Geography, Chemistry, Ozone, Geology, Biology, Polymer, Organic chemistry, CopolymerTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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35Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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