Journal Article
Carbon isotope discrimination in leaves of the broad‐leaved paperbark tree, Melaleuca quinquenervia , as a tool for quantifying past tropical and subtropical rainfall
John Tibby; Cameron Barr; Francesca A. McInerney; Andrew C. G. Henderson; Melanie J. Leng; Margaret Greenway; Jonathan C. Marshall; Glenn B. McGregor; Jonathan J. Tyler; Vivienne McNeil
Global Change Biology · Vol. 22, Issue 10 · pp. 3474-3486 · 2016
Abstract
Quantitative reconstructions of terrestrial climate are highly sought after but rare, particularly in Australia. Carbon isotope discrimination in plant leaves (Δ leaf ) is an established indicator of past hydroclimate because the fractionation of carbon isotopes during photosynthesis is strongly influenced by water stress. Leaves of the evergreen tree Melaleuca quinquenervia have been recovered from the sediments of some perched lakes on North Stradbroke and Fraser Islands, south‐east Queensland, eastern Australia. Here, we examine the potential for using M. quinquenervia ∆ leaf as a tracer of past rainfall by analysing carbon isotope ratios ( δ 13 C) of modern leaves. We firstly assess Δ leaf variation at the leaf and stand scale and find no systematic pattern within leaves or between leaves due to their position on the tree. We then examine the relationships between climate and Δ leaf for a 11‐year time series of leaves collected in a litter tray. M. quinquenervia retains its leaves for 1–4 years; thus, cumulative average climate data are used. There is a significant relationship between annual mean ∆ leaf and mean annual rainfall of the hydrological year for 1–4 years (i.e. 365–1460 days) prior to leaf fall ( r 2 = 0.64, P = 0.003, n = 11). This relationship is marginally improved by accounting for the effect of p CO 2 on discrimination ( r 2 = 0.67, P = 0.002, n = 11). The correlation between rainfall and Δ leaf , and the natural distribution of Melaleuca quinquenervia around wetlands of eastern Australia, Papua New Guinea and New Caledonia offers significant potential to infer past rainfall on a wide range of spatial and temporal scales.