2009 Portland GSA Annual Meeting (18-21 October 2009)

Paper No. 5
Presentation Time: 9:05 AM

CENOZOIC VEGETATION, CO2, AND PALEOCLIMATE: IMPLICATIONS FOR FUTURE TERRESTRIAL HABITATS


WILLARD, Debra A., United States Geological Survey, 926A National Center, 12201 Sunrise Valley Drive, Reston, VA 20192, dwillard@usgs.gov

Comparison of paleobotanical records of Cenozoic vegetation with proxy-based reconstructions of Cenozoic CO2 reveals long-term terrestrial ecosystem changes related to greenhouse gases and other climatic forcing factors. The last 65 million years include intervals characterized by elevated CO2 concentrations (1000 – 1500 ppm) and other periods with preindustrial levels (280 ppm). Recent research documenting Cenozoic vegetational patterns during intervals of elevated and near-modern CO2 concentrations is reviewed, as are the direct and indirect impacts of changing greenhouse gas concentrations on terrestrial ecosystems. During the late Paleocene and Eocene, a time of elevated CO2 concentrations (≥1000 ppm), humidity was greater, and temperate to subtropical forests occupied polar latitudes. The Oligocene was characterized by progressive decreases in CO2 concentrations, reaching near modern levels (~300 ppm) at the Oligocene-Miocene boundary. Vegetation structure changed during this time, as grasslands expanded globally. During the Miocene - middle Pliocene, when CO2 values were ~300-400 ppm, latitudinal boundaries between biomes shifted pole-ward, and boreal forest extended to nearly 80˚ N latitude. These boundaries abruptly shifted equator-ward ~2.7 Ma, when CO2 concentrations decreased to pre-industrial levels, northern hemisphere glaciation intensified, and mean annual temperatures decreased. Uncertainties remain about the relative timing of changes in vegetation, temperature, CO2 and other drivers that structured terrestrial habitats of the Cenozoic. High-resolution, multiproxy analysis of additional sites is needed to reduce uncertainty on the relative roles of these forcing factors and to improve our capability to model terrestrial ecosystem response under a range of scenarios.