Climatic controls on C4 grassland distributions during the Neogene: A model-data comparison

David L. Fox, Stephanie Pau, Lyla Taylor, Caroline A.E. Strömberg, Colin P. Osborne, Catherine Bradshaw, Stephen Conn, David J. Beerling, Christopher J. Still

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Abstract

Grasslands dominated by taxa using the C4 photosynthetic pathway first developed on several continents during the Neogene and Quaternary, long after C4 photosynthesis 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 C3 and C4 grasses have led to hypotheses explaining the origins of C4 grasslands 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 C4 grasslands, we undertook a global-scale comparison between observational records of C4 plant abundances in Miocene and Pliocene localities compiled from the literature and three increasingly complex models of C4 physiology, 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 C4 grasses, based on the modern contribution of C4 grasses 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 C4 dominance or abundance in grid cells as: (1) months per year exceeding the temperature at which net carbon assimilation is greater for C4 than C3 photosynthesis (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) (C3 and C4 grasses, 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 C4 grasslands as global changes in the Earth system such as decreases in atmospheric pCO2 and late Cenozoic global cooling and/or aridification.

Original languageEnglish (US)
Article number147
JournalFrontiers in Ecology and Evolution
Volume6
Issue numberSEP
DOIs
StatePublished - Sep 24 2018

Bibliographical note

Funding Information:
We thank Ben Passey for sharing his initial work on the biomineral isotope data compilation. We also thank the other members of the NESCent C4 Grasslands Working Group for valuable discussions that helped shaped this project: T. Michael Anderson, William Bond, Erika Edwards, Elisabeth Forrestel, William Hoffmann, Ben Passey, Nicolas Salamin, and Melinda Smith. A grant from the National Evolutionary Synthesis Center (NESCent; funded by NSF EF0905606) to CO, CAES, and CJS funded the Origins of C4 grasslands: a new synthesis of phylogeny, ecology and paleobiology working group that led to this work.

Publisher Copyright:
© 2018 Fox, Pau, Taylor, Strömberg, Osborne, Bradshaw, Conn, Beerling and Still.

Keywords

  • C grasses
  • Carbon isotopes
  • Miocene
  • Model-data comparison
  • Pliocene
  • Vegetation models

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