Articles | Volume 21, issue 11
https://doi.org/10.5194/acp-21-8413-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-8413-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Global and regional impacts of land cover changes on isoprene emissions derived from spaceborne data and the MEGAN model
Beata Opacka
CORRESPONDING AUTHOR
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Avenue Circulaire 3, 1180 Brussels, Belgium
Jean-François Müller
CORRESPONDING AUTHOR
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Avenue Circulaire 3, 1180 Brussels, Belgium
Trissevgeni Stavrakou
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Avenue Circulaire 3, 1180 Brussels, Belgium
Maite Bauwens
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Avenue Circulaire 3, 1180 Brussels, Belgium
Katerina Sindelarova
Department of Atmospheric Physics, Charles University in Prague, Prague, Czech Republic
Jana Markova
Department of Atmospheric Physics, Charles University in Prague, Prague, Czech Republic
Czech Hydrometeorological Institute (CHMI), Na Šabatce 17, 14306, Prague 4, Czech Republic
Alex B. Guenther
Department of Earth System Science, University of California Irvine, 92697, California, USA
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Elizabeth Klovenski, Yuxuan Wang, Susanne E. Bauer, Kostas Tsigaridis, Greg Faluvegi, Igor Aleinov, Nancy Y. Kiang, Alex Guenther, Xiaoyan Jiang, Wei Li, and Nan Lin
Atmos. Chem. Phys., 22, 13303–13323, https://doi.org/10.5194/acp-22-13303-2022, https://doi.org/10.5194/acp-22-13303-2022, 2022
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Peter Huszar, Jan Karlický, Lukáš Bartík, Marina Liaskoni, Alvaro Patricio Prieto Perez, and Kateřina Šindelářová
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Deanna C. Myers, Saewung Kim, Steven Sjostedt, Alex B. Guenther, Roger Seco, Oscar Vega Bustillos, Julio Tota, Rodrigo A. F. Souza, and James N. Smith
Atmos. Chem. Phys., 22, 10061–10076, https://doi.org/10.5194/acp-22-10061-2022, https://doi.org/10.5194/acp-22-10061-2022, 2022
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Katerina Sindelarova, Jana Markova, David Simpson, Peter Huszar, Jan Karlicky, Sabine Darras, and Claire Granier
Earth Syst. Sci. Data, 14, 251–270, https://doi.org/10.5194/essd-14-251-2022, https://doi.org/10.5194/essd-14-251-2022, 2022
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Christophe Lerot, François Hendrick, Michel Van Roozendael, Leonardo M. A. Alvarado, Andreas Richter, Isabelle De Smedt, Nicolas Theys, Jonas Vlietinck, Huan Yu, Jeroen Van Gent, Trissevgeni Stavrakou, Jean-François Müller, Pieter Valks, Diego Loyola, Hitoshi Irie, Vinod Kumar, Thomas Wagner, Stefan F. Schreier, Vinayak Sinha, Ting Wang, Pucai Wang, and Christian Retscher
Atmos. Meas. Tech., 14, 7775–7807, https://doi.org/10.5194/amt-14-7775-2021, https://doi.org/10.5194/amt-14-7775-2021, 2021
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Global measurements of glyoxal tropospheric columns from the satellite instrument TROPOMI are presented. Such measurements can contribute to the estimation of atmospheric emissions of volatile organic compounds. This new glyoxal product has been fully characterized with a comprehensive error budget, with comparison with other satellite data sets as well as with validation based on independent ground-based remote sensing glyoxal observations.
Sharmine Akter Simu, Yuzo Miyazaki, Eri Tachibana, Henning Finkenzeller, Jérôme Brioude, Aurélie Colomb, Olivier Magand, Bert Verreyken, Stephanie Evan, Rainer Volkamer, and Trissevgeni Stavrakou
Atmos. Chem. Phys., 21, 17017–17029, https://doi.org/10.5194/acp-21-17017-2021, https://doi.org/10.5194/acp-21-17017-2021, 2021
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The tropical Indian Ocean (IO) is expected to be a significant source of water-soluble organic carbon (WSOC), which is relevant to cloud formation. Our study showed that marine secondary organic formation dominantly contributed to the aerosol WSOC mass at the high-altitude observatory in the southwest IO in the wet season in both marine boundary layer and free troposphere (FT). This suggests that the effect of marine secondary sources is important up to FT, a process missing in climate models.
Bert Verreyken, Crist Amelynck, Niels Schoon, Jean-François Müller, Jérôme Brioude, Nicolas Kumps, Christian Hermans, Jean-Marc Metzger, Aurélie Colomb, and Trissevgeni Stavrakou
Atmos. Chem. Phys., 21, 12965–12988, https://doi.org/10.5194/acp-21-12965-2021, https://doi.org/10.5194/acp-21-12965-2021, 2021
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We present a 2-year dataset of trace gas concentrations, specifically an array of volatile organic compounds (VOCs), recorded at the Maïdo observatory, a remote tropical high-altitude site located on a small island in the southwest Indian Ocean. We found that island-scale transport is an important driver for the daily cycle of VOC concentrations. During the day, surface emissions from the island affect the atmospheric composition at Maïdo greatly, while at night this impact is strongly reduced.
Thierno Doumbia, Claire Granier, Nellie Elguindi, Idir Bouarar, Sabine Darras, Guy Brasseur, Benjamin Gaubert, Yiming Liu, Xiaoqin Shi, Trissevgeni Stavrakou, Simone Tilmes, Forrest Lacey, Adrien Deroubaix, and Tao Wang
Earth Syst. Sci. Data, 13, 4191–4206, https://doi.org/10.5194/essd-13-4191-2021, https://doi.org/10.5194/essd-13-4191-2021, 2021
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Most countries around the world have implemented control measures to combat the spread of the COVID-19 pandemic, resulting in significant changes in economic and personal activities. We developed the CONFORM (COvid-19 adjustmeNt Factors fOR eMissions) dataset to account for changes in emissions during lockdowns. This dataset was created with the intention of being directly applicable to existing global and regional inventories used in chemical transport models.
Jaroslav Resler, Kryštof Eben, Jan Geletič, Pavel Krč, Martin Rosecký, Matthias Sühring, Michal Belda, Vladimír Fuka, Tomáš Halenka, Peter Huszár, Jan Karlický, Nina Benešová, Jana Ďoubalová, Kateřina Honzáková, Josef Keder, Šárka Nápravníková, and Ondřej Vlček
Geosci. Model Dev., 14, 4797–4842, https://doi.org/10.5194/gmd-14-4797-2021, https://doi.org/10.5194/gmd-14-4797-2021, 2021
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We describe validation of the PALM model v6.0 against measurements collected during two observational campaigns in Dejvice, Prague. The study focuses on the evaluation of the newly developed or improved radiative and energy balance modules in PALM related to urban modelling. In addition to the energy-related quantities, it also evaluates air flow and air quality under street canyon conditions.
Chinmoy Sarkar, Gracie Wong, Anne Mielnik, Sanjeevi Nagalingam, Nicole Jenna Gross, Alex B. Guenther, Taehyoung Lee, Taehyun Park, Jihee Ban, Seokwon Kang, Jin-Soo Park, Joonyoung Ahn, Danbi Kim, Hyunjae Kim, Jinsoo Choi, Beom-Keun Seo, Jong-Ho Kim, Jeong-Ho Kim, Soo Bog Park, and Saewung Kim
Atmos. Chem. Phys., 21, 11505–11518, https://doi.org/10.5194/acp-21-11505-2021, https://doi.org/10.5194/acp-21-11505-2021, 2021
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We present experimental proofs illustrating the emission of an unexplored volatile organic compound, tentatively assigned as ketene, in an industrial facility in South Korea. The emission of such a compound has rarely been reported, but our experimental data show that the emission rate is substantial. It potentially has tremendous implications for regional air quality and public health, as it is highly reactive and toxic at the same time.
Dianne Sanchez, Roger Seco, Dasa Gu, Alex Guenther, John Mak, Youngjae Lee, Danbi Kim, Joonyoung Ahn, Don Blake, Scott Herndon, Daun Jeong, John T. Sullivan, Thomas Mcgee, Rokjin Park, and Saewung Kim
Atmos. Chem. Phys., 21, 6331–6345, https://doi.org/10.5194/acp-21-6331-2021, https://doi.org/10.5194/acp-21-6331-2021, 2021
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We present observations of total reactive gases in a suburban forest observatory in the Seoul metropolitan area. The quantitative comparison with speciated trace gas observations illustrated significant underestimation in atmospheric reactivity from the speciated trace gas observational dataset. We present scientific discussion about potential causes.
Ioanna Skoulidou, Maria-Elissavet Koukouli, Astrid Manders, Arjo Segers, Dimitris Karagkiozidis, Myrto Gratsea, Dimitris Balis, Alkiviadis Bais, Evangelos Gerasopoulos, Trisevgeni Stavrakou, Jos van Geffen, Henk Eskes, and Andreas Richter
Atmos. Chem. Phys., 21, 5269–5288, https://doi.org/10.5194/acp-21-5269-2021, https://doi.org/10.5194/acp-21-5269-2021, 2021
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The performance of LOTOS-EUROS v2.2.001 regional chemical transport model NO2 simulations is investigated over Greece from June to December 2018. Comparison with in situ NO2 measurements shows a spatial correlation coefficient of 0.86, while the model underestimates the concentrations mostly during daytime (12 to 15:00 local time). Further, the simulated tropospheric NO2 columns are evaluated against ground-based MAX-DOAS NO2 measurements and S5P/TROPOMI observations for July and December 2018.
Hui Wang, Qizhong Wu, Alex B. Guenther, Xiaochun Yang, Lanning Wang, Tang Xiao, Jie Li, Jinming Feng, Qi Xu, and Huaqiong Cheng
Atmos. Chem. Phys., 21, 4825–4848, https://doi.org/10.5194/acp-21-4825-2021, https://doi.org/10.5194/acp-21-4825-2021, 2021
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We assessed the influence of the greening trend on BVOC emission in China. The comparison among different scenarios showed that vegetation changes resulting from land cover management are the main driver of BVOC emission change in China. Climate variability contributed significantly to interannual variations but not much to the long-term trend during the study period.
Jan Karlický, Peter Huszár, Tereza Nováková, Michal Belda, Filip Švábik, Jana Ďoubalová, and Tomáš Halenka
Atmos. Chem. Phys., 20, 15061–15077, https://doi.org/10.5194/acp-20-15061-2020, https://doi.org/10.5194/acp-20-15061-2020, 2020
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Cities are characterized by their impact on various meteorological variables. Our study aims to generalize these modifications into a single phenomenon – the urban meteorology island (UMI). A wide ensemble of Weather Research and Forecasting (WRF) and Regional Climate Model (RegCM) simulations investigated urban-induced modifications as individual UMI components. Significant changes are found in most of the discussed meteorological variables with a strong impact of specific model simulations.
Bert Verreyken, Crist Amelynck, Jérôme Brioude, Jean-François Müller, Niels Schoon, Nicolas Kumps, Aurélie Colomb, Jean-Marc Metzger, Christopher F. Lee, Theodore K. Koenig, Rainer Volkamer, and Trissevgeni Stavrakou
Atmos. Chem. Phys., 20, 14821–14845, https://doi.org/10.5194/acp-20-14821-2020, https://doi.org/10.5194/acp-20-14821-2020, 2020
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Biomass burning (BB) plumes arriving at the Maïdo observatory located in the south-west Indian Ocean during August 2018 and August 2019 are studied using trace gas measurements, Lagrangian transport models and the CAMS near-real-time atmospheric composition service. We investigate (i) secondary production of volatile organic compounds during transport, (ii) efficacy of the CAMS model to reproduce the chemical makeup of BB plumes and (iii) the impact of BB on the remote marine boundary layer.
Chen Dayan, Erick Fredj, Pawel K. Misztal, Maor Gabay, Alex B. Guenther, and Eran Tas
Atmos. Chem. Phys., 20, 12741–12759, https://doi.org/10.5194/acp-20-12741-2020, https://doi.org/10.5194/acp-20-12741-2020, 2020
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We studied the emission of biogenic volatile organic compounds from both marine and terrestrial ecosystems in the Eastern Mediterranean Basin, a global warming hot spot. We focused on isoprene and dimethyl sulfide (DMS), which are well recognized for their effect on climate and strong impact on photochemical pollution by the former. We found high emissions of isoprene and a strong decadal decrease in the emission of DMS which can both be attributed to the strong increase in seawater temperature.
Peter Huszar, Jan Karlický, Jana Ďoubalová, Tereza Nováková, Kateřina Šindelářová, Filip Švábik, Michal Belda, Tomáš Halenka, and Michal Žák
Atmos. Chem. Phys., 20, 11655–11681, https://doi.org/10.5194/acp-20-11655-2020, https://doi.org/10.5194/acp-20-11655-2020, 2020
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The paper shows how extreme meteorological conditions change due to the urban land-cover forcing and how this translates to the impact on the extreme air pollution over central European cities. It focuses on ozone, nitrogen dioxide, and particulate matter with a diameter of less than 2.5 μm and shows that, while for the extreme daily maximum 8 h ozone, changes are same as for the mean ones, much larger modifications are calculated for extreme NO2 and PM2.5 compared to their mean changes.
Archit Mehra, Jordan E. Krechmer, Andrew Lambe, Chinmoy Sarkar, Leah Williams, Farzaneh Khalaj, Alex Guenther, John Jayne, Hugh Coe, Douglas Worsnop, Celia Faiola, and Manjula Canagaratna
Atmos. Chem. Phys., 20, 10953–10965, https://doi.org/10.5194/acp-20-10953-2020, https://doi.org/10.5194/acp-20-10953-2020, 2020
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Emissions of volatile organic compounds (VOCs) from plants are important for tropospheric ozone and secondary organic aerosol (SOA) formation. Real plant emissions are much more diverse than the few proxies widely used for studies of plant SOA. Here we present the first study of SOA from Californian sage plants and the oxygenated monoterpenes representing their major emissions. We identify SOA products and show the importance of the formation of highly oxygenated organic molecules and oligomers.
Cited articles
Alekseev, A., Tomppo, E., McRoberts, R. E., and von Gadow, K.:
A constructive review of the State Forest Inventory in the Russian Federation,
Forest Ecosystems,
6, 9, https://doi.org/10.1186/s40663-019-0165-3, 2019.
Arneth, A., Schurgers, G., Lathiere, J., Duhl, T., Beerling, D. J., Hewitt, C. N., Martin, M., and Guenther, A.: Global terrestrial isoprene emission models: sensitivity to variability in climate and vegetation, Atmos. Chem. Phys., 11, 8037–8052, https://doi.org/10.5194/acp-11-8037-2011, 2011.
Atkinson, R.:
Atmospheric chemistry of VOCs and NOx,
Atmos. Environ.,
34, 2063–2101, https://doi.org/10.1016/S1352-2310(99)00460-4, 2000.
Bauwens, M., Stavrakou, T., Müller, J.-F., De Smedt, I., Van Roozendael, M., van der Werf, G. R., Wiedinmyer, C., Kaiser, J. W., Sindelarova, K., and Guenther, A.: Nine years of global hydrocarbon emissions based on source inversion of OMI formaldehyde observations, Atmos. Chem. Phys., 16, 10133–10158, https://doi.org/10.5194/acp-16-10133-2016, 2016.
Beck, H. E., Zimmermann, N. E., McVicar, T. R., Vergopolan, N., Berg, A., and Wood, E. F.:
Present and future Köppen–Geiger climate classification maps at 1-km resolution,
Sci. Data,
5, 180214, https://doi.org/10.1038/sdata.2018.214, 2018.
Bonan, G. B.:
Forests and climate change: forcings, feedbacks, and the climate benefits of forests,
Science,
320, 1444–1449, https://doi.org/10.1126/science.1155121, 2008.
Bonan, G. B., Levis, S., Kergoat, L., and Oleson, K. W.:
Landscapes as patches of plant functional types: An integrating concept for climate and ecosystem models,
Global. Biogeochem. Cy.,
16, 1–23, https://doi.org/10.1029/2000GB001360, 2002.
Carlton, A. G., Wiedinmyer, C., and Kroll, J. H.: A review of Secondary Organic Aerosol (SOA) formation from isoprene, Atmos. Chem. Phys., 9, 4987–5005, https://doi.org/10.5194/acp-9-4987-2009, 2009.
Chen, M., Vernon, C. R., Graham, N. T., Hejazi, M., Huang, M., Cheng, Y., and Calvin, K.:
Global land use for 2015–2100 at 0.05∘ resolution under diverse socioeconomic and climate scenarios,
Sci. Data,
7, 1–11, https://doi.org/10.1038/s41597-020-00669-x, 2020.
Chen, W. H., Guenther, A. B., Wang, X. M., Chen, Y. H., Gu, D. S., Chang, M., Zhou, S. Z., Wu, L. L., and Zhang, Y. Q.:
Regional to global biogenic isoprene emission responses to changes in vegetation from 2000 to 2015,
J. Geophys. Res.-Atmos.,
123, 3757–3771, https://doi.org/10.1002/2017JD027934, 2018.
Claeys, M., Graham, B., Vas, G., Wang, W., Vermeylen, R., Pashynska, V., Cafmeyer, J., Guyon, P., Andreae, M. O., Artaxo, P., and Maenhaut, W.:
Formation of secondary organic aerosols through photooxidation of isoprene,
Science,
303, 1173–1176, https://doi.org/10.1126/science.1092805, 2004.
Collatz, G. J., Berry, J. A., and Clark, J. S.:
Effects of climate and atmospheric CO2 partial pressure on the global distribution of C4 grasses: present, past, and future,
Oecologia,
114, 441–454, https://doi.org/10.1007/s004420050468, 1998.
Congalton, R. G., Gu, J., Yadav, K., Thenkabail, P., and Ozdogan, M.:
Global land cover mapping: A review and uncertainty analysis,
Remote Sens.-Basel,
6, 12070–12093, https://doi.org/10.3390/rs61212070, 2014.
Curtis, P. G., Slay, C. M., Harris, N. L., Tyukavina, A., and Hansen, M. C.:
Classifying drivers of global forest loss,
Science,
361, 1108–1111, https://doi.org/10.1126/science.aau3445, 2018.
da Silva, C. M., Corrêa, S. M., and Arbilla, G.:
Isoprene emissions and ozone formation in urban conditions: a case study in the city of Rio de Janeiro,
B. Environ. Contam. Tox.,
100, 184–188, https://doi.org/10.1007/s00128-017-2248-6, 2018.
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., Bechtold, P., Thépaut, J. N., and Vitart, F.:
The ERA-Interim reanalysis: configuration and performance of the data assimilation system,
Q. J. Roy. Meteor. Soc.,
137, 553–597, https://doi.org/10.1002/qj.828, 2011.
De Smedt, I., Stavrakou, T., Hendrick, F., Danckaert, T., Vlemmix, T., Pinardi, G., Theys, N., Lerot, C., Gielen, C., Vigouroux, C., Hermans, C., Fayt, C., Veefkind, P., Müller, J.-F., and Van Roozendael, M.: Diurnal, seasonal and long-term variations of global formaldehyde columns inferred from combined OMI and GOME-2 observations, Atmos. Chem. Phys., 15, 12519–12545, https://doi.org/10.5194/acp-15-12519-2015, 2015.
De Smedt, I., Yu, H., Richter, A., Beirle, S., Eskes, H., Boersma, K. F., Van Roozendael, M., Van Geffen, J., Lorente, A., and Peters, E.:
QA4ECV HCHO tropospheric column data from OMI (Version 1.1) [Data set],
Royal Belgian Institute for Space Aeronomy, https://doi.org/10.18758/71021031, 2017.
De Smedt, I., Theys, N., Yu, H., Danckaert, T., Lerot, C., Compernolle, S., Van Roozendael, M., Richter, A., Hilboll, A., Peters, E., Pedergnana, M., Loyola, D., Beirle, S., Wagner, T., Eskes, H., van Geffen, J., Boersma, K. F., and Veefkind, P.: Algorithm theoretical baseline for formaldehyde retrievals from S5P TROPOMI and from the QA4ECV project, Atmos. Meas. Tech., 11, 2395–2426, https://doi.org/10.5194/amt-11-2395-2018, 2018.
Di Gregorio, A.: Land cover classification system: classification concepts and user manual: LCCS,
in: FAO environment and natural resources service series,
Food & Agriculture Org., Rome, Italy, 2005.
ESA-CCI-LC:
Land Cover CCI Product User Guide Version 2.0,
available at: https://maps.elie.ucl.ac.be/CCI/viewer/download/ESACCI-LC-Ph2-PUGv2_2.0.pdf (last access: 16 June 2020), 2017.
Fehsenfeld, F., Calvert, J., Fall, R., Goldan, P., Guenther, A. B., Hewitt, C. N., Lamb, B., Liu, S., Trainer, M., Westberg, H., and Zimmerman, P.:
Emissions of volatile organic compounds from vegetation and the implications for atmospheric chemistry,
Global Biogeochem. Cy.,
6, 389–430, https://doi.org/10.1029/92GB02125, 1992.
Foley, J. A., DeFries, R., Asner, G. P., Barford, C., Bonan, G., Carpenter, S. R., Chapin, F. S., Coe, M. T., Daily, G. C., Gibbs, H. K., Helkowski, J. H., Holloway, T., Howard, E. A., Kucharik, C. J., Monfreda, C., Patz, J. A., Prentice, I. C., Ramankutty, N., and Snyder, P. K.:
Global consequences of land use,
Science,
309, 570–574, https://doi.org/10.1126/science.1111772, 2005.
Friedl, M. and Sulla-Menashe, D.: MCD12Q1 MODIS/Terra+Aqua Land Cover Type Yearly L3 Global 500 m SIN Grid V006 [Data set], NASA EOSDIS Land Processes DAAC, https://doi.org/10.5067/MODIS/MCD12Q1.006, 2019.
Fu, B., Gasser, T., Li, B., Tao, S., Ciais, P., Piao, S., Balkanski, Y., Li, W., Yin, T., Han, L., and Li, X.:
Short-lived climate forcers have long-term climate impacts via the carbon–climate feedback,
Nat. Clim. Change,
10, 851–855, https://doi.org/10.1038/s41558-020-0841-x, 2020.
Fu, D., Millet, D. B., Wells, K. C., Payne, V. H., Yu, S., Guenther, A., and Eldering, A.:
Direct retrieval of isoprene from satellite-based infrared measurements,
Nat. Commun.,
10, 1–12, https://doi.org/10.1038/s41467-019-11835-0, 2019.
Fu, Y. and Liao, H.:
Impacts of land use and land cover changes on biogenic emissions of volatile organic compounds in China from the late 1980s to the mid-2000s: implications for tropospheric ozone and secondary organic aerosol,
Tellus B,
66, 24987–25003, https://doi.org/10.3402/tellusb.v66.24987, 2014.
Fuchs, H., Hofzumahaus, A., Rohrer, F., Bohn, B., Brauers, T., Dorn, H. P., Häseler, R., Holland, F., Kaminski, M., Li, X., and Lu, K.:
Experimental evidence for efficient hydroxyl radical regeneration in isoprene oxidation.,
Nat. Geosci.,
6, 1023–1026, https://doi.org/10.1038/ngeo1964, 2013.
Geron, C., Guenther, A., Sharkey, T., and Arnts, R. R.:
Temporal variability in basal isoprene emission factor,
Tree Physiol.,
20, 799–805, https://doi.org/10.1093/treephys/20.12.799, 2000.
Geron, C., Owen, S., Guenther, A., Greenberg, J., Rasmussen, R., Hui Bai, J., Li, Q.-J., and Baker, B.:
Volatile organic compounds from vegetation in southern Yunnan Province, China: Emission rates and some potential regional implications,
Atmos. Environ.,
40, 1759–1773, https://doi.org/10.1016/j.atmosenv.2005.11.022, 2006.
GFW article:
available at: https://blog.globalforestwatch.org/data-and-research/global-forest-watch-and-the-forest-resources-assessment-explained-in-5-graphics-2/ (last access: 26 January 2021), 2016.
Granier, C., Darras, S., van der Gon, H. D., Jana, D., Elguindi, N., Bo, G., Michael, G., Marc, G., Jalkanen, J. P., Kuenen, J., Liousse, C., Quack, B., Simpson, D., and Sindelarova, K.: The Copernicus Atmosphere Monitoring Service global and regional emissions (April 2019 version), Copernicus Atmosphere Monitoring Service (CAMS) report, ECMWF, Reading, UK, https://doi.org/10.24380/d0bn-kx16, 2019.
Guenther, A., Karl, T., Harley, P., Wiedinmyer, C., Palmer, P. I., and Geron, C.: Estimates of global terrestrial isoprene emissions using MEGAN (Model of Emissions of Gases and Aerosols from Nature), Atmos. Chem. Phys., 6, 3181–3210, https://doi.org/10.5194/acp-6-3181-2006, 2006.
Guenther, A. B., Jiang, X., Heald, C. L., Sakulyanontvittaya, T., Duhl, T., Emmons, L. K., and Wang, X.: The Model of Emissions of Gases and Aerosols from Nature version 2.1 (MEGAN2.1): an extended and updated framework for modeling biogenic emissions, Geosci. Model Dev., 5, 1471–1492, https://doi.org/10.5194/gmd-5-1471-2012, 2012.
Hansen, M. C., Roy, D. P., Lindquist, E., Adusei, B., Justice, C. O., and Altstatt, A.:
A method for integrating MODIS and Landsat data for systematic monitoring of forest cover and change in the Congo Basin,
Remote Sens. Environ.,
112, 2495–2513, https://doi.org/10.1016/j.rse.2007.11.012, 2008.
Hansen, M. C., Potapov, P. V., Moore, R., Hancher, M., Turubanova, S. A., Tyukavina, A., Thau, D., Stehman, S. V., Goetz, S. J., Loveland, T. R., and Kommareddy, A.:
High-resolution global maps of 21st-century forest cover change.,
Science,
342, 850–853, https://doi.org/10.1126/science.1244693, 2013.
Hansen, R. F., Lewis, T. R., Graham, L., Whalley, L. K., Seakins, P. W., Heard, D. E., and Blitz, M. A.:
OH production from the photolysis of isoprene-derived peroxy radicals: cross-sections, quantum yields and atmospheric implications,
Phys. Chem. Chem. Phys.,
19, 2332–2345, https://doi.org/10.1039/C6CP06718B, 2017.
Hantson, S., Knorr, W., Schurgers, G., Pugh, T. A., and Arneth, A.:
Global isoprene and monoterpene emissions under changing climate, vegetation, CO2 and land use,
Atmos. Environ.,
155, 35–45, https://doi.org/10.1016/j.atmosenv.2017.02.010, 2017.
Harley, P. C., Monson, R. K., and Lerdau, M. T.:
Ecological and evolutionary aspects of isoprene emission from plants,
Oecologia,
118, 109–123, https://doi.org/10.1007/s004420050709, 1999.
Hofzumahaus, A., Rohrer, F., Lu, K., Bohn, B., Brauers, T., Chang, C. C., Fuchs, H., Holland, F., Kita, K., Kondo, Y., and Li, X.:
Amplified trace gas removal in the troposphere.,
Science,
324, 1702–1704, https://doi.org/10.1126/science.1164566, 2009.
Huang, G., Brook, R., Crippa, M., Janssens-Maenhout, G., Schieberle, C., Dore, C., Guizzardi, D., Muntean, M., Schaaf, E., and Friedrich, R.: Speciation of anthropogenic emissions of non-methane volatile organic compounds: a global gridded data set for 1970–2012, Atmos. Chem. Phys., 17, 7683–7701, https://doi.org/10.5194/acp-17-7683-2017, 2017.
Huijnen, V., Williams, J., van Weele, M., van Noije, T., Krol, M., Dentener, F., Segers, A., Houweling, S., Peters, W., de Laat, J., Boersma, F., Bergamaschi, P., van Velthoven, P., Le Sager, P., Eskes, H., Alkemade, F., Scheele, R., Nédélec, P., and Pätz, H.-W.: The global chemistry transport model TM5: description and evaluation of the tropospheric chemistry version 3.0, Geosci. Model Dev., 3, 445–473, https://doi.org/10.5194/gmd-3-445-2010, 2010.
Hurtt, G. C., Chini, L. P., Frolking, S., Betts, R. A., Feddema, J., Fischer, G., Fisk, J. P., Hibbard, K., Houghton, R. A., Janetos, A., and Jones, C. D.:
Harmonization of land-use scenarios for the period 1500–2100: 600 years of global gridded annual land-use transitions, wood harvest, and resulting secondary lands,
Climatic Change,
109, 117–161, https://doi.org/10.1007/s10584-011-0153-2, 2011.
Janssens-Maenhout, G., Crippa, M., Guizzardi, D., Dentener, F., Muntean, M., Pouliot, G., Keating, T., Zhang, Q., Kurokawa, J., Wankmüller, R., Denier van der Gon, H., Kuenen, J. J. P., Klimont, Z., Frost, G., Darras, S., Koffi, B., and Li, M.: HTAP_v2.2: a mosaic of regional and global emission grid maps for 2008 and 2010 to study hemispheric transport of air pollution, Atmos. Chem. Phys., 15, 11411–11432, https://doi.org/10.5194/acp-15-11411-2015, 2015.
Jia, G., Shevliakova, E., Artaxo, P., De-Docoudré, N., Houghton, R. A., House, J., Kitajima, K., Lennard, C., Popp, A., Sirin, A., and Sukumar, R.: Land–climate interactions, in: Climate Change and Land: an IPCC special report on climate change, desertification, land degradation, sustainable land management, food security, and greenhouse gas fluxes in terrestrial ecosystems, IPCC, Geneva, 133–206, 2019.
Jiang, C., Ryu, Y., Fang, H., Myneni, R., Claverie, M., and Zhu, Z.:
Inconsistencies of interannual variability and trends in long-term satellite leaf area index products,
Glob. Change Biol.,
23, 4133–4146, https://doi.org/10.1111/gcb.13787, 2017.
Kaiser, J., Jacob, D. J., Zhu, L., Travis, K. R., Fisher, J. A., González Abad, G., Zhang, L., Zhang, X., Fried, A., Crounse, J. D., St. Clair, J. M., and Wisthaler, A.: High-resolution inversion of OMI formaldehyde columns to quantify isoprene emission on ecosystem-relevant scales: application to the southeast US, Atmos. Chem. Phys., 18, 5483–5497, https://doi.org/10.5194/acp-18-5483-2018, 2018.
Krinner, G., Viovy, N., de Noblet-Ducoudré, N., Ogée, J., Polcher, J., Friedlingstein, P., Ciais, P., Sitch, S., and Prentice, I. C.:
A dynamic global vegetation model for studies of the coupled atmosphere-biosphere system,
Global Biogeochem. Cy.,
19, GB1015, https://doi.org/10.1029/2003GB002199, 2005.
Kroll, J. H., Ng, N. L., Murphy, S. M., Flagan, R. C., and Seinfeld, J. H.:
Secondary organic aerosol formation from isoprene photooxidation under high-NOx conditions,
Geophys. Res. Lett.,
32, L18808, https://doi.org/10.1029/2005GL023637, 2005.
Kroll, J. H., Ng, N. L., Murphy, S. M., Flagan, R. C., and Seinfeld, J. H.:
Secondary organic aerosol formation from isoprene photooxidation,
Environ. Sci. Technol.,
40, 1869–1877, https://doi.org/10.1021/es0524301, 2006.
Langford, B., Misztal, P. K., Nemitz, E., Davison, B., Helfter, C., Pugh, T. A. M., MacKenzie, A. R., Lim, S. F., and Hewitt, C. N.: Fluxes and concentrations of volatile organic compounds from a South-East Asian tropical rainforest, Atmos. Chem. Phys., 10, 8391–8412, https://doi.org/10.5194/acp-10-8391-2010, 2010.
Lathière, J., Hauglustaine, D. A., Friend, A. D., De Noblet-Ducoudré, N., Viovy, N., and Folberth, G. A.: Impact of climate variability and land use changes on global biogenic volatile organic compound emissions, Atmos. Chem. Phys., 6, 2129–2146, https://doi.org/10.5194/acp-6-2129-2006, 2006.
Lathière, J., Hewitt, C. N., and Beerling, D. J.:
Sensitivity of isoprene emissions from the terrestrial biosphere to 20th century changes in atmospheric CO2 concentration, climate, and land use,
Global. Biogeochem. Cy.,
24, GB1004, https://doi.org/10.1029/2009GB003548, 2010.
Lawrence, P. J. and Chase, T. N.:
Representing a new MODIS consistent land surface in the Community Land Model (CLM 3.0),
J. Geophys. Res.,
112, G01023, https://doi.org/10.1029/2006JG000168, 2007.
Lawrence, D. M., Oleson, K. W., Flanner, M. G., Thornton, P. E., Swenson, S. C., Lawrence, P. J., Zeng, X., Yang, Z. L., Levis, S., Sakaguchi, K. and Bonan, G. B., and Slater, A. G.:
Parameterization improvements and functional and structural advances in Version 4 of the Community Land Model,
J. Adv. Model. Earth Sy.,
3, M03001, https://doi.org/10.1029/2011MS00045, 2011.
Lawrence, D. M., Fisher, R. A., Koven, C. D., Oleson, K. W., Swenson, S. C., Bonan, G., Collier, N., Ghimire, B., van Kampenhout, L., Kennedy, D., and Kluzek, E.:
The Community Land Model version 5: Description of new features, benchmarking, and impact of forcing uncertainty,
J. Adv. Model. Earth Sy.,
11, 4245–4287, https://doi.org/10.1029/2018MS001583, 2019.
Lelieveld, J., Butler, T. M., Crowley, J. N., Dillon, T. J., Fischer, H., Ganzeveld, L., Harder, H., Lawrence, M. G., Martinez, M., Taraborrelli, D., and Williams, J.:
Atmospheric oxidation capacity sustained by a tropical forest,
Nature,
452, 737–740, https://doi.org/10.1038/nature06870, 2008.
Lelieveld, J. O. S., Crutzen, P. J., and Dentener, F. J.:
Changing concentration, lifetime and climate forcing of atmospheric methane,
Tellus B,
50, 128–150, https://doi.org/10.3402/tellusb.v50i2.16030, 1998.
Levelt, P. F., van den Oord, G. H. J., Dobber, M. R., Malkki, A., Visser, H., de Vries, J., Stammes, P., Lundell, J. O. V., and Saari, H.:
The ozone monitoring instrument,
IEEE T. Geosci. Remote,
44, 1093–1101, https://doi.org/10.1109/TGRS.2006.872333, 2006.
Li, L. Y., Chen, Y., and Xie, S. D.:
Spatio-temporal variation of biogenic volatile organic compounds emissions in China,
Environ. Pollut.,
182, 157–168, https://doi.org/10.1016/j.envpol.2013.06.042, 2013.
Li, W., MacBean, N., Ciais, P., Defourny, P., Lamarche, C., Bontemps, S., Houghton, R. A., and Peng, S.: Gross and net land cover changes in the main plant functional types derived from the annual ESA CCI land cover maps (1992–2015), Earth Syst. Sci. Data, 10, 219–234, https://doi.org/10.5194/essd-10-219-2018, 2018.
Marais, E. A., Jacob, D. J., Kurosu, T. P., Chance, K., Murphy, J. G., Reeves, C., Mills, G., Casadio, S., Millet, D. B., Barkley, M. P., Paulot, F., and Mao, J.: Isoprene emissions in Africa inferred from OMI observations of formaldehyde columns, Atmos. Chem. Phys., 12, 6219–6235, https://doi.org/10.5194/acp-12-6219-2012, 2012.
Martin, R. V., Chance, K., Jacob, D. J., Kurosu, T. P., Spurr, R. J., Bucsela, E., Gleason, J. F., Palmer, P. I., Bey, I., Fiore, A. M., and Li, Q.:
An improved retrieval of tropospheric nitrogen dioxide from GOME,
J. Geophys. Res.,
107, 4437, https://doi.org/10.1029/2001JD001027, 2002.
Meller, R. and Moortgat, G. K.:
Temperature dependence of the absorption cross sections of formaldehyde between 223 and 323 K in the wavelength range 225–375 nm,
J. Geophys. Res.,
105, 7089–7101, https://doi.org/10.1029/1999JD901074, 2000.
Messina, P., Lathière, J., Sindelarova, K., Vuichard, N., Granier, C., Ghattas, J., Cozic, A., and Hauglustaine, D. A.: Global biogenic volatile organic compound emissions in the ORCHIDEE and MEGAN models and sensitivity to key parameters, Atmos. Chem. Phys., 16, 14169–14202, https://doi.org/10.5194/acp-16-14169-2016, 2016.
Mikkonen, S., Korhonen, H., Romakkaniemi, S., Smith, J. N., Joutsensaari, J., Lehtinen, K. E. J., Hamed, A., Breider, T. J., Birmili, W., Spindler, G., Plass-Duelmer, C., Facchini, M. C., and Laaksonen, A.: Meteorological and trace gas factors affecting the number concentration of atmospheric Aitken (Dp = 50 nm) particles in the continental boundary layer: parameterization using a multivariate mixed effects model, Geosci. Model Dev., 4, 1–13, https://doi.org/10.5194/gmd-4-1-2011, 2011.
Millet, D. B., Jacob, D. J., Boersma, K. F., Fu, T. M., Kurosu, T. P., Chance, K., Heald, C. L., and Guenther, A.:
Spatial distribution of isoprene emissions from North America derived from formaldehyde column measurements by the OMI satellite sensor,
J. Geophys. Res.-Atmos.,
113, D02307, https://doi.org/10.1029/2007JD008950, 2008.
Millet, D. B., Guenther, A., Siegel, D. A., Nelson, N. B., Singh, H. B., de Gouw, J. A., Warneke, C., Williams, J., Eerdekens, G., Sinha, V., Karl, T., Flocke, F., Apel, E., Riemer, D. D., Palmer, P. I., and Barkley, M.: Global atmospheric budget of acetaldehyde: 3-D model analysis and constraints from in-situ and satellite observations, Atmos. Chem. Phys., 10, 3405–3425, https://doi.org/10.5194/acp-10-3405-2010, 2010.
Misztal, P. K., Nemitz, E., Langford, B., Di Marco, C. F., Phillips, G. J., Hewitt, C. N., MacKenzie, A. R., Owen, S. M., Fowler, D., Heal, M. R., and Cape, J. N.: Direct ecosystem fluxes of volatile organic compounds from oil palms in South-East Asia, Atmos. Chem. Phys., 11, 8995–9017, https://doi.org/10.5194/acp-11-8995-2011, 2011.
Mo, Z., Shao, M., Wang, W., Liu, Y., Wang, M., and Lu, S.:
Evaluation of biogenic isoprene emissions and their contribution to ozone formation by ground-based measurements in Beijing, China,
Sci. Total Environ.,
627, 1485–1494, https://doi.org/10.1016/j.scitotenv.2018.01.336, 2018.
Müller, J.-F. and Stavrakou, T.: Inversion of CO and NOx emissions using the adjoint of the IMAGES model, Atmos. Chem. Phys., 5, 1157–1186, https://doi.org/10.5194/acp-5-1157-2005, 2005.
Müller, J.-F., Stavrakou, T., Wallens, S., De Smedt, I., Van Roozendael, M., Potosnak, M. J., Rinne, J., Munger, B., Goldstein, A., and Guenther, A. B.: Global isoprene emissions estimated using MEGAN, ECMWF analyses and a detailed canopy environment model, Atmos. Chem. Phys., 8, 1329–1341, https://doi.org/10.5194/acp-8-1329-2008, 2008.
Naik, V., Delire, C., and Wuebbles, D. J.:
Sensitivity of global biogenic isoprenoid emissions to climate variability and atmospheric CO2,
J. Geophys. Res.,
109, D06301, https://doi.org/10.1029/2003JD004236, 2004.
Nomura, K., Mitchard, E. T., Bowers, S. J., and Patenaude, G.: Missed carbon emissions from forests: comparing countries’ estimates submitted to UNFCCC to biophysical estimates, Environ. Res. Lett., 14, 024015, https://doi.org/10.1088/1748-9326/aafc6b, 2019.
Oleson, K. W. and Bonan, G. B.:
The effects of remotely sensed plant functional type and leaf area index on simulations of boreal forest surface fluxes by the NCAR land surface model,
J. Hydrometeorol.,
1, 431–446, https://doi.org/10.1175/1525-7541(2000)001<0431:TEORSP>2.0.CO;2, 2000.
Oleson, K. W., Lawrence, D. M., Gordon, B., Flanner, M. G., Kluzek, E., Peter, J., Levis, S., Swenson, S. C., Thornton, E., Feddema, J., and Heald, C. L.: Technical description of version 4.0 of the Community Land Model (CLM), Tech. Note NCAR/TN-478+STR, University Corporation for Atmospheric Research, Boulder, Colorado, US, https://doi.org/10.5065/D6FB50WZ, 2010.
Opacka, B. and Müller, J.-F.: MEGAN-MOHYCAN global isoprene emissions accounting for space-based land cover changes, The BIRA-IASB Data Repository [Dataset], https://doi.org/10.18758/71021062, 2021.
Palmer, P. I., Abbot, D. S., Fu, T. M., Jacob, D. J., Chance, K., Kurosu, T. P., Guenther, A., Wiedinmyer, C., Stanton, J. C., Pilling, M. J., and Pressley, S. N.:
Quantifying the seasonal and interannual variability of North American isoprene emissions using satellite observations of the formaldehyde column,
J. Geophys. Res.-Atmos.,
111, D12315, https://doi.org/10.1029/2005JD006689, 2006.
Peñuelas, J. and Staudt, M.:
BVOCs and global change,
Trends Plant Sci.,
15, 133–144, https://doi.org/10.1016/j.tplants.2009.12.005, 2010.
Pike, R. C. and Young, P. J.:
How plants can influence tropospheric chemistry: the role of isoprene emissions from the biosphere,
Weather,
64, 332–336, https://doi.org/10.1002/wea.416, 2009.
Possell, M. and Hewitt, C. N.:
Isoprene emissions from plants are mediated by atmospheric CO2 concentrations,
Glob. Change Biol.,
17, 1595–1610, 2011.
Potapov, P. V., Turubanova, S. A., Hansen, M. C., Adusei, B., Broich, M., Altstatt, A., Mane, L., and Justice, C. O.:
Quantifying forest cover loss in Democratic Republic of the Congo, 2000–2010, with Landsat ETM+ data,
Remote Sens. Environ.,
122, 106–116, https://doi.org/10.1016/j.rse.2011.08.027, 2012.
Poulter, B., MacBean, N., Hartley, A., Khlystova, I., Arino, O., Betts, R., Bontemps, S., Boettcher, M., Brockmann, C., Defourny, P., Hagemann, S., Herold, M., Kirches, G., Lamarche, C., Lederer, D., Ottlé, C., Peters, M., and Peylin, P.: Plant functional type classification for earth system models: results from the European Space Agency's Land Cover Climate Change Initiative, Geosci. Model Dev., 8, 2315–2328, https://doi.org/10.5194/gmd-8-2315-2015, 2015.
Ramankutty, N. and Foley, J. A.:
Estimating historical changes in global land cover: croplands from 1700 to 1992,
Global. Biogeochem. Cy.,
13, 997–1027, 1999.
Ramankutty, N., Evan, A. T., Monfreda, C., and Foley, J. A.:
Farming the planet: 1. Geographic distribution of global agricultural lands in the year 2000,
Global. Biogeochem. Cy.,
22, GB1003, https://doi.org/10.1029/2007GB002952, 2008.
Ryerson, T. B., Trainer, M., Holloway, J. S., Parrish, D. D., Huey, L. G., Sueper, D. T., Frost, G. J., Donnelly, S. G., Schauffler, S., Atlas, E. L., and Kuster, W. C.:
Observations of ozone formation in power plant plumes and implications for ozone control strategies,
Science,
292, 719–723, https://doi.org/10.1126/science.1058113, 2001.
Saunier, A., Ormeño, E., Piga, D., Armengaud, A., Boissard, C., Lathière, J., Szopa, S., Genard-Zielinski, A. C., and Fernandez, C.:
Isoprene contribution to ozone production under climate change conditions in the French Mediterranean area,
Reg. Environ. Change,
20, 1–8, https://doi.org/10.1007/s10113-020-01697-4, 2020.
Scott, C. E., Monks, S. A., Spracklen, D. V., Arnold, S. R., Forster, P. M., Rap, A., Äijälä, M., Artaxo, P., Carslaw, K. S., Chipperfield, M. P., and Ehn, M.:
Impact on short-lived climate forcers increases projected warming due to deforestation,
Nat. Commun.,
9, 1–9, https://doi.org/10.1038/s41467-017-02412-4, 2018.
Sexton, J. O., Song, X. P., Feng, M., Noojipady, P., Anand, A., Huang, C., Kim, D. H., Collins, K. M., Channan, S., DiMiceli, C., and Townshend, J. R.:
Global, 30-m resolution continuous fields of tree cover: Landsat-based rescaling of MODIS vegetation continuous fields with lidar-based estimates of error,
Int. J. Digit. Earth,
6, 427–448, https://doi.org/10.1080/17538947.2013.786146, 2013.
Sindelarova, K., Granier, C., Bouarar, I., Guenther, A., Tilmes, S., Stavrakou, T., Müller, J.-F., Kuhn, U., Stefani, P., and Knorr, W.: Global data set of biogenic VOC emissions calculated by the MEGAN model over the last 30 years, Atmos. Chem. Phys., 14, 9317–9341, https://doi.org/10.5194/acp-14-9317-2014, 2014.
Sitch, S., Smith, B., Prentice, I. C., Arneth, A., Bondeau, A., Cramer, W., Kaplan, J. O., Levis, S., Lucht, W., Sykes, M. T., and Thonicke, K.:
Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model,
Glob. Change Biol.,
9, 161–185, https://doi.org/10.1046/j.1365-2486.2003.00569.x, 2003.
Smith, T. M., Shugart, H. H., and Woodward, F. I. (Eds.):
Plant Functional Types: Their Relevance to Ecosystem Properties and Global Change,
Cambridge Univ. Press, New York, 369 pp., 1997.
Spurr, R.: LIDORT and VLIDORT: Linearized pseudo-spherical scalar and vector discrete ordinate radiative transfer models for use in remote sensing retrieval problems, in: Light Scattering Reviews 3: Light Scattering and Reflection, edited by: Kokhanovsky, A. A., Springer, Berlin, Heidelberg, 229–275, https://doi.org/10.1007/978-3-540-48546-9_7, 2008.
Stavrakou, T., Müller, J.-F., De Smedt, I., Van Roozendael, M., van der Werf, G. R., Giglio, L., and Guenther, A.: Global emissions of non-methane hydrocarbons deduced from SCIAMACHY formaldehyde columns through 2003–2006, Atmos. Chem. Phys., 9, 3663–3679, https://doi.org/10.5194/acp-9-3663-2009, 2009.
Stavrakou, T., Guenther, A., Razavi, A., Clarisse, L., Clerbaux, C., Coheur, P.-F., Hurtmans, D., Karagulian, F., De Mazière, M., Vigouroux, C., Amelynck, C., Schoon, N., Laffineur, Q., Heinesch, B., Aubinet, M., Rinsland, C., and Müller, J.-F.: First space-based derivation of the global atmospheric methanol emission fluxes, Atmos. Chem. Phys., 11, 4873–4898, https://doi.org/10.5194/acp-11-4873-2011, 2011.
Stavrakou, T., Müller, J.-F., Bauwens, M., De Smedt, I., Van Roozendael, M., Guenther, A., Wild, M., and Xia, X.: Isoprene emissions over Asia 1979–2012: impact of climate and land-use changes, Atmos. Chem. Phys., 14, 4587–4605, https://doi.org/10.5194/acp-14-4587-2014, 2014.
Stavrakou, T., Müller, J. F., Bauwens, M., De Smedt, I., Lerot, C., Van Roozendael, M., Coheur, P. F., Clerbaux, C., Boersma, K. F., and Song, Y.:
Substantial underestimation of post-harvest burning emissions in the North China Plain revealed by multi-species space observations,
Sci. Rep.,
6, 1–11, https://doi.org/10.1038/srep32307, 2016.
Stavrakou, T., Müller, J. F., Bauwens, M., De Smedt, I., Van Roozendael, M., and Guenther, A.:
Impact of Short-Term Climate Variability on Volatile Organic Compounds Emissions Assessed Using OMI Satellite Formaldehyde Observations,
Geophys. Res. Lett.,
45, 8681–8689, https://doi.org/10.1029/2018GL078676, 2018.
Sulla-Menashe, D., Gray, J. M., Abercrombie, S. P., and Friedl, M. A.:
Hierarchical mapping of annual global land cover 2001 to present: The MODIS Collection 6 Land Cover product,
Remote Sens. Environ.,
222, 183–194, https://doi.org/10.1016/j.rse.2018.12.013, 2019.
Sun, W. and Liang, S. (Eds.): Methodologies for mapping plant functional types, in: Advances in land remote sensing, Springer, Dordrecht, the Netherlands, 369–393, https://doi.org/10.1007/978-1-4020-6450-0_14, 2008.
Turner, B. L., Lambin, E. F., and Reenberg, A.:
The emergence of land change science for global environmental change and sustainability,
P. Natl. Acad. Sci. USA,
104, 20666–20671, https://doi.org/10.1073/pnas.0704119104, 2007.
Unger, N.:
Isoprene emission variability through the twentieth century,
J. Geophys. Res.-Atmos.,
118, 606–613, https://doi.org/10.1002/2013JD020978, 2013.
Unger, N.:
Human land-use-driven reduction of forest volatiles cools global climate,
Nat. Clim. Change,
4, 907–910, https://doi.org/10.1038/nclimate2347, 2014.
Ustin, S. L. and Gamon, J. A.:
Remote sensing of plant functional types,
New Phytol.,
186, 795–816, https://doi.org/10.1111/j.1469-8137.2010.03284.x, 2010.
van der Werf, G. R., Randerson, J. T., Giglio, L., van Leeuwen, T. T., Chen, Y., Rogers, B. M., Mu, M., van Marle, M. J. E., Morton, D. C., Collatz, G. J., Yokelson, R. J., and Kasibhatla, P. S.: Global fire emissions estimates during 1997–2016, Earth Syst. Sci. Data, 9, 697–720, https://doi.org/10.5194/essd-9-697-2017, 2017.
Wallens, S.:
Modélisation des émissions de composés organiques volatils par la végétation,
PhD thesis, Université Libre de Bruxelles, Brussels, 2004.
Wang, H., Wu, Q., Guenther, A. B., Yang, X., Wang, L., Xiao, T., Li, J., Feng, J., Xu, Q., and Cheng, H.: A long-term estimation of biogenic volatile organic compound (BVOC) emission in China from 2001–2016: the roles of land cover change and climate variability, Atmos. Chem. Phys., 21, 4825–4848, https://doi.org/10.5194/acp-21-4825-2021, 2021.
Ward, D. S., Mahowald, N. M., and Kloster, S.: Potential climate forcing of land use and land cover change, Atmos. Chem. Phys., 14, 12701–12724, https://doi.org/10.5194/acp-14-12701-2014, 2014.
Wells, K. C., Millet, D. B., Payne, V. H., Deventer, M. J., Bates, K. H., de Gouw, J. A., Graus, M., Warneke, C., Wisthaler, A., and Fuentes, J. D.:
Satellite isoprene retrievals constrain emissions and atmospheric oxidation,
Nature,
585, 225–233, https://doi.org/10.1038/s41586-020-2664-3, 2020.
Williams, J. E., Boersma, K. F., Le Sager, P., and Verstraeten, W. W.: The high-resolution version of TM5-MP for optimized satellite retrievals: description and validation, Geosci. Model Dev., 10, 721–750, https://doi.org/10.5194/gmd-10-721-2017, 2017.
Woodward, F. I. and Lomas, M. R.:
Vegetation dynamics–simulating responses to climatic change,
Biol. Rev.,
79, 643–670, https://doi.org/10.1017/S1464793103006419, 2004.
Zeppetello, L. R. V., Parsons, L. A., Spector, J. T., Naylor, R. L., Battisti, D. S., Masuda, Y. J., and Wolff, N. H.:
Large scale tropical deforestation drives extreme warming,
Environ. Res. Lett.,
15, 084012, https://doi.org/10.1088/1748-9326/ab96d2, 2020.
Short summary
Isoprene is mainly emitted from plants, and about 80 % of its global emissions occur in the tropics. Current isoprene inventories are usually based on modelled vegetation maps, but high pressure on land use over the last decades has led to severe losses, especially in tropical forests, that are not considered by models. We provide a study on the present-day impact of spaceborne land cover changes on isoprene emissions and the first inventory based on high-resolution Landsat tree cover dataset.
Isoprene is mainly emitted from plants, and about 80 % of its global emissions occur in the...
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