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Climatic Change

, Volume 153, Issue 1–2, pp 235–251 | Cite as

Quantifying the effects of solar geoengineering on vegetation

  • Katherine DagonEmail author
  • Daniel P. Schrag
Article

Abstract

Climate change will have significant impacts on vegetation and biodiversity. Solar geoengineering has potential to reduce the climate effects of greenhouse gas emissions through albedo modification, yet more research is needed to better understand how these techniques might impact terrestrial ecosystems. Here, we utilize the fully coupled version of the Community Earth System Model to run transient solar geoengineering simulations designed to stabilize radiative forcing starting mid-century, relative to the Representative Concentration Pathway 6 (RCP6) scenario. Using results from 100-year simulations, we analyze model output through the lens of ecosystem-relevant metrics. We find that solar geoengineering improves the conservation outlook under climate change, but there are still potential impacts on terrestrial vegetation. We show that rates of warming and the climate velocity of temperature are minimized globally under solar geoengineering by the end of the century, while trends persist over land in the Northern Hemisphere. Moisture is an additional constraint on vegetation, and in the tropics the climate velocity of precipitation dominates over that of temperature. Shifts in the amplitude of temperature and precipitation seasonal cycles have implications for vegetation phenology. Different metrics for vegetation productivity also show decreases under solar geoengineering relative to RCP6, but could be related to the model parameterization of nutrient cycling. The coupling of water and carbon cycles is found to be an important mechanism for understanding changes in ecosystems under solar geoengineering.

Keywords

Climate change Solar geoengineering Climate modeling Terrestrial ecosystems 

Notes

Acknowledgements

We thank the editor and two anonymous reviewers for suggestions that improved the paper. The model simulations in this paper were run on the Odyssey cluster supported by the FAS Division of Science, Research Computing Group at Harvard University. We thank Zhiming Kuang for the use of his computational resources. Further data analysis was completed using the computing resources of the Climate and Global Dynamics Information Systems Group at the National Center for Atmospheric Research. The National Center for Atmospheric Research is sponsored by the National Science Foundation.

Funding information

This received funding from the NCAR Advanced Study Program.

Supplementary material

10584_2019_2387_MOESM1_ESM.pdf (3.7 mb)
(PDF 3.66 MB)

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© Springer Nature B.V. 2019

Authors and Affiliations

  1. 1.National Center for Atmospheric ResearchBoulderUSA
  2. 2.Department of Earth and Planetary SciencesHarvard UniversityCambridgeUSA

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