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https://doi.org/10.5194/egusphere-2024-2313
https://doi.org/10.5194/egusphere-2024-2313
09 Oct 2024
 | 09 Oct 2024
Status: this preprint is open for discussion.

Historical Trends and Controlling Factors of Isoprene Emissions in CMIP6 Earth System Models

Thi Nhu Ngoc Do, Kengo Sudo, Akihiko Ito, Louisa Emmons, Vaishali Naik, Kostas Tsigaridis, Øyvind Seland, Gerd A. Folberth, and Douglas I. Kelley

Abstract. Terrestrial isoprene, a biogenic volatile organic compound emitted by many plants, influences atmospheric chemistry and the Earth’s radiative balance. Elucidating its historical changes is therefore important for predicting climate change and air quality. Isoprene emissions can respond to climate (e.g., temperature, shortwave radiation, precipitation), land use and land cover change (LULCC), and atmospheric CO2 concentrations. However, historical trends of isoprene emissions and the relative influences of the respective drivers of those trends remain highly uncertain. This study addresses uncertainty in historical isoprene emission trends and their influential factors, particularly the roles of climate, LULCC, and atmospheric CO2 (via fertilization and inhibition effects). The findings are expected to reconcile discrepancies among different modelling approaches and to improve predictions of isoprene emissions and their climate change effects.

To investigate isoprene emission trends, controlling factors, and discrepancies among models, we analyzed long-term (1850–2014) global isoprene emissions from online simulations of CMIP6 Earth System Models and offline simulations using the VISIT dynamic vegetation model driven by climate reanalysis data.

Mean annual global present-day isoprene emissions agree well among models (434–510 TgC yr⁻¹) with a 5 % inter-model spread (24 TgC yr⁻¹), but regional emissions differ greatly (9–212 % spread). All models show an increasing trend in global isoprene emissions in recent decades (1980–2014), but their magnitudes vary (+1.27 ± 0.49 TgC yr⁻², 0.28 ± 0.11 % yr⁻¹). Long-term trends of 1850–2014 show high uncertainty among models (–0.92 to +0.31 TgC yr⁻²).

Results of emulated sensitivity experiments indicate meteorological variations as the main factor of year-to-year fluctuations, but the main drivers of long-term isoprene emission trends differ among models. Models without CO2 effects implicate climate change as the driver, but other models with CO2 effects (fertilization only/and inhibition) indicate CO2 and LULCC as the primary drivers. The discrepancies arise from how models account for CO2 and LULCC alongside climate effects on isoprene emissions. Aside from LULCC-induced reductions, differences in CO2 inhibition representation (strength and presence or absence of thresholds) were able to mitigate or reverse increasing trends because of rising temperatures or in combination with CO2 fertilization. Net CO2 effects on global isoprene emissions show the highest inter-model variation (σ = 0.43 TgC yr⁻²), followed by LULCC effects (σ = 0.17 TgC yr⁻²), with climate change effects exhibiting more or less variation (σ = 0.06 TgC yr⁻²).

The critical drivers of isoprene emission trends depend on a model’s emission scheme complexity. This dependence emphasizes the need for models with accurate representation of CO2 and LULCC effects alongside climate change influences for robust long-term predictions. Important uncertainties remain in understanding the interplay between CO2, LULCC, and climate effects on isoprene emissions, mainly for CO2. More long-term observations of isoprene emissions across various biomes are necessary, along with improved models with varied CO2 responses. Moreover, instead of reliance on the current models, additional emission schemes can better capture isoprene emissions complexities and their effects on climate.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Thi Nhu Ngoc Do, Kengo Sudo, Akihiko Ito, Louisa Emmons, Vaishali Naik, Kostas Tsigaridis, Øyvind Seland, Gerd A. Folberth, and Douglas I. Kelley

Status: open (until 04 Dec 2024)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Thi Nhu Ngoc Do, Kengo Sudo, Akihiko Ito, Louisa Emmons, Vaishali Naik, Kostas Tsigaridis, Øyvind Seland, Gerd A. Folberth, and Douglas I. Kelley

Data sets

Historical Trends and Controlling Factors of Isoprene Emissions in CMIP6 Earth System Models [Dataset] Thi Nhu Ngoc Do, Kengo Sudo, Akihiko Ito, Louisa Emmons, Vaishali Naik, Kostas Tsigaridis, Øyvind Seland, Gerd A. Folberth, and Douglas I. Kelley https://doi.org/10.5281/zenodo.12754163

Model code and software

Historical Trends and Controlling Factors of Isoprene Emissions in CMIP6 Earth System Models [Analysis Code] Thi Nhu Ngoc Do, Kengo Sudo, Akihiko Ito, Louisa Emmons, Vaishali Naik, Kostas Tsigaridis, Øyvind Seland, Gerd A. Folberth, and Douglas I. Kelley https://doi.org/10.5281/zenodo.12754163

Historical Trends and Controlling Factors of Isoprene Emissions in CMIP6 Earth System Models [VISIT model source code and Input data] Thi Nhu Ngoc Do, Akihiko Ito, and Kengo Sudo https://doi.org/10.5281/zenodo.13883464

Interactive computing environment

Historical Trends and Controlling Factors of Isoprene Emissions in CMIP6 Earth System Models [JupyterNotebooks] Thi Nhu Ngoc Do, Kengo Sudo, Akihiko Ito, Louisa Emmons, Vaishali Naik, Kostas Tsigaridis, Øyvind Seland, Gerd A. Folberth, and Douglas I. Kelley https://doi.org/10.5281/zenodo.12754163

Thi Nhu Ngoc Do, Kengo Sudo, Akihiko Ito, Louisa Emmons, Vaishali Naik, Kostas Tsigaridis, Øyvind Seland, Gerd A. Folberth, and Douglas I. Kelley

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Short summary
Understanding historical isoprene emission changes is important for predicting future climate, but trends and their controlling factors remain uncertain. This study shows that long-term isoprene trends vary among Earth System Models mainly due to partially incorporating CO2 effects and land cover changes rather than climate. Future models that refine these factors’ effects on isoprene emissions, along with long-term observations, are essential for better understanding plant-climate interactions.