Biogeosciences (May 2009)

Large regional-scale variation in C3/C4 distribution pattern of Inner Mongolia steppe is revealed by grazer wool carbon isotope composition

  • K. Auerswald,
  • M. H. O. M. Wittmer,
  • T. T. Männel,
  • Y. F. Bai,
  • R. Schäufele,
  • H. Schnyder

Journal volume & issue
Vol. 6, no. 5
pp. 795 – 805

Abstract

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This work explored the spatial variation of C3/C4 distribution in the Inner Mongolia, P. R. China, steppe by geostatistical analysis of carbon isotope data of vegetation and sheep wool. Standing community biomass (<i>n</i>=118) and sheep wool (<i>n</i>=146) were sampled in a ~0.2 Mio km<sup>2</sup> area. Samples from ten consecutive years (1998–2007) were obtained. Community biomass samples represented the carbon isotopic composition of standing vegetation on about 1000 m<sup>2</sup> ("community-scale"), whereas the spatio-temporal scale of wool reflected the isotope composition of the entire area grazed by the herd during a 1-yr period (~5–10 km<sup>2</sup>, "farm-scale"). Pair wise sampling of wool and vegetation revealed a <sup>13</sup>C-enrichment of 2.7&plusmn;0.7&permil; (95% confidence interval) in wool relative to vegetation, but this shift exhibited no apparent relationships with environmental parameters or stocking rate. The proportion of C4 plants in above-ground biomass (P<sub>C4</sub>, %) was estimated with a two-member mixing model of <sup>13</sup>C discrimination by C3 and C4 vegetation (<sup>13</sup>Δ<sub>3</sub> and <sup>13</sup>Δ<sub>4</sub>, respectively), in accounting for the effects of changing <sup>13</sup>C in atmospheric CO<sub>2</sub> on sample isotope composition, and of altitude and aridity on <sup>13</sup>Δ<sub>3</sub>. P<sub>C4</sub> averaged 19%, but the variation was enormous: full-scale (0% to 100%) at community-scale, and 0% to 85% at farm-scale. The farm-scale variation of P<sub>C4</sub> exhibited a clear regional pattern over a range of ~250 km. Importantly P<sub>C4</sub> was significantly higher above the 22&deg;C isotherm of the warmest month, which was obtained from annual high-resolution maps and averaged over the different sampling years. This is consistent with predictions from C3/C4 crossover temperature of quantum yield or light use efficiency in C3 and C4 plants. Still, temperature gradients accounted for only 10% of the farm-scale variation of P<sub>C4</sub>, indicating that additional factors control P<sub>C4</sub> on this scale.