Fox, D.L., Pau, S., Taylor, L. orcid.org/0000-0002-3406-7452 et al. (6 more authors) (2018) Climatic controls on C4 grassland distributions during the Neogene: A model-data comparison. Frontiers in Ecology and Evolution, 6. 147.
Abstract
Grasslands dominated by taxa using the C4photosynthetic pathway first developed on several continents during the Neogene and Quaternary, long after C4photosynthesis first evolved among grasses. The histories of these ecosystems are relatively well-documented in the geological record from stable carbon isotope measurements (of fossil vertebrate herbivores and paleosols) and the plant microfossil record (pollen and/or phytolith assemblages). The distinct biogeography and ecophysiology of modern C3and C4grasses have led to hypotheses explaining the origins of C4grasslands in terms of long-term changes in the Earth system, such as increased aridity and decreasing atmospheric pCO2. However, quantitative proxies for key abiotic drivers of these hypotheses (e.g., temperature, precipitation, pCO2) are still in development, not yet widely applied at the continental or global scale or throughout the late Cenozoic, and/or remain contentious. Testing these hypotheses globally therefore remains difficult. To understand better the potential links between changes in the Earth system and the origin of C4grasslands, we undertook a global-scale comparison between observational records of C4plant abundances in Miocene and Pliocene localities compiled from the literature and three increasingly complex models of C4physiology, dominance, and abundance. The literature compilation comprises > 2,600 δ13C-values each of fossil terrestrial vertebrates and of paleosol carbonates, which we interpret as primarily proxies for the abundance of C4grasses, based on the modern contribution of C4grasses to terrestrial net primary productivity. We forced the vegetation models with simulated monthly climates from the HadCM3 family of coupled ocean-atmosphere general circulation models (OAGCMs) over a range of pCO2-values for each epoch to model C4dominance or abundance in grid cells as: (1) months per year exceeding the temperature at which net carbon assimilation is greater for C4than C3photosynthesis (crossover temperature model); (2) the number of months per year exceeding the crossover temperature and having sufficient precipitation for growth (≥25 mm/month; Collatz model); and (3) the Sheffield Dynamic Global Vegetation Model (SDGVM), which models multiple plant functional types (PFTs) (C3and C4grasses, evergreen, and deciduous trees). Model-data agreement is generally weak, although statistically significant for many comparisons, suggesting that regional to local ecological interactions, continent-specific plant evolutionary histories, and/or regional to local climatic conditions not represented in global scale OAGCMs may have been equally strong or stronger in driving the evolution of C4grasslands as global changes in the Earth system such as decreases in atmospheric pCO2and late Cenozoic global cooling and/or aridification.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 Fox, Pau, Taylor, Strömberg, Osborne, Bradshaw, Conn, Beerling and Still. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > School of Biosciences (Sheffield) > Department of Animal and Plant Sciences (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 09 Oct 2018 09:05 |
Last Modified: | 11 Oct 2018 04:21 |
Published Version: | https://doi.org/10.3389/fevo.2018.00147 |
Status: | Published |
Publisher: | Frontiers Media |
Refereed: | Yes |
Identification Number: | 10.3389/fevo.2018.00147 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:136483 |
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