Identifying the δ18O signature of precipitation in grass cellulose and phytoliths: Refining the paleoclimate model

Details Identifying the δ18O signature of precipitation in grass cellulose and phytoliths: Refining the paleoclimate model Identifying the δ18O signature of precipitation in grass cellulose and phytoliths: Refining the paleoclimate model

May 2006

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006gecoa..70.2417w&link_type=abstract

Geochimica et Cosmochimica Acta, Volume 70, Issue 10, p. 2417-2426.

Computer Science

3

Scientific paper

Cellulose and silica phytoliths were extracted from the leaves and stems of Calamovilfa longifolia, a C4 grass, grown under varying climatic conditions across the North American prairies. The oxygen-isotope compositions of both cellulose and silica record a complex signal of the isotopic composition of the soil water that feeds the plants and the relative humidity conditions that influence transpiration rates, stomatal conductance, and ultimately the 18O-enrichment of leaf water. As the initial stages of cellulose formation occur in the leaves, cellulose in both the leaves and stems forms primarily from leaf water and does not differ greatly in its oxygen-isotope composition between these locations. In contrast, the δ18O values of leaf phytoliths are significantly enriched in 18O relative to stem phytoliths, reflecting the varying isotopic composition of the water in these tissues. The oxygen-isotope compositions of leaf cellulose may be used as a proxy for the isotopic composition of water involved in leaf phytolith formation, while the δ18O values of stem phytoliths can be used to determine the δ18O values of stem water involved in partial exchange reactions during the transport of carbohydrates through the plant. A comparison of the isotopic compositions of phytoliths with cellulose allows for the deduction of soil and leaf water δ18O values as well as temperature and relative humidity conditions during plant growth. This approach has application in paleoclimate studies that traditionally have required estimations of one or more of these variables because direct measurements were unavailable.

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