Mapping the global distribution of C4 vegetation using observations and optimality theory

Luo, Xiangzhong; Zhou, Haoran; Satriawan, Tin W.; Tian, Jiaqi; Zhao, Ruiying; Keenan, Trevor F.; Griffith, Daniel M.; Sitch, Stephen; Smith, Nicholas G.; Still, Christopher J.

doi:10.1038/s41467-024-45606-3

Title: Mapping the global distribution of C₄ vegetation using observations and optimality theory

Journal Article · 09 February 2024 · Nature Communications

DOI: https://doi.org/10.1038/s41467-024-45606-3 · OSTI ID:2433798

^[1];

^[2]; Satriawan, Tin W. ^[1]; Tian, Jiaqi ^[1]; Zhao, Ruiying ^[1];

^[3]; Griffith, Daniel M. ^[4];

^[5];

^[6];

^[4]

National Univ. of Singapore (Singapore)
Tianjin Univ. (China)
University of California, Berkeley, CA (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Oregon State Univ., Corvallis, OR (United States)
Univ. of Exeter (United Kingdom)
Texas Tech Univ., Lubbock, TX (United States)

Plants with the C₄ photosynthesis pathway typically respond to climate change differently from more common C₃-type plants, due to their distinct anatomical and biochemical characteristics. These different responses are expected to drive changes in global C₄ and C₃ vegetation distributions. However, current C₄ vegetation distribution models may not predict this response as they do not capture multiple interacting factors and often lack observational constraints. Here, we used global observations of plant photosynthetic pathways, satellite remote sensing, and photosynthetic optimality theory to produce an observation-constrained global map of C₄ vegetation. We find that global C₄ vegetation coverage decreased from 17.7% to 17.1% of the land surface during 2001 to 2019. This was the net result of a reduction in C₄ natural grass cover due to elevated CO₂ favoring C₃-type photosynthesis, and an increase in C₄ crop cover, mainly from corn (maize) expansion. Using an emergent constraint approach, we estimated that C₄ vegetation contributed 19.5% of global photosynthetic carbon assimilation, a value within the range of previous estimates (18–23%) but higher than the ensemble mean of dynamic global vegetation models (14 ± 13%; mean ± one standard deviation). Our study sheds insight on the critical and underappreciated role of C₄ plants in the contemporary global carbon cycle.

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Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 2433798

Journal Information:: Nature Communications, Journal Name: Nature Communications Journal Issue: 1 Vol. 15; ISSN 2041-1723

Publisher:: Nature Publishing GroupCopyright Statement

Country of Publication:: United States

Language:: English

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Title: Mapping the global distribution of C4 vegetation using observations and optimality theory

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Title: Mapping the global distribution of C₄ vegetation using observations and optimality theory