Liu Xian-Zhao, Zhang Yong, Li Zhen-Guo, Feng Teng, Su Qing, Song Yan
School of Resource, Environment and Safety Engineering Hunan University of Science and Technology Xiangtan China.
Institute of Soil Science State Key Laboratory of Soil and Sustainable Agriculture Chinese Academy of Sciences Nanjing China.
Ecol Evol. 2017 Nov 3;7(24):10582-10591. doi: 10.1002/ece3.3548. eCollection 2017 Dec.
Plant δC-temperature (δ-T) relation has been established in many systems and is often used as paleotemperature transfer function. However, it is still unclear about the exact contributions of temperature variation to plant C discrimination because of covariation between temperature and precipitation (aridity), which reduces confidence in reconstruction of paleoclimate. In this study, we measured carbon isotope composition (δC) of 173 samples of C3 perennial herbs from 22 sites across a temperature gradient along the 400 mm isohyet in the farming-pastoral zone of North China. The results showed that precipitation obviously affected the correlations of temperatures and foliar δC. After removing the influence of precipitation by analysis of covariance (ANCOVA), a more strongly positive relationship was obtained between site-mean foliar δC and annual mean temperature (AMT), with a regression coefficient of 0.1636‰/°C (=.0024). For widespread species, and , the slopes (or coefficients) of foliar δC and AMT were significantly steeper (larger) than those of foliar δC and AMT where the precipitation influence was not excluded, whereas the δ-T coefficients of and showed little change across the transect after deducting the precipitation effect. Moreover, the positive relationship between temperature and δC over the transect could be explained by soil moisture availability related to temperature. Our results may afford new opportunities for investigating the nature of past climate variability.
植物的δC-温度(δ-T)关系已在许多系统中得到确立,并且常被用作古温度传递函数。然而,由于温度与降水(干旱度)之间的协变关系,温度变化对植物碳同位素分馏的确切贡献仍不明确,这降低了对古气候重建的可信度。在本研究中,我们测量了中国北方农牧交错带沿400毫米等雨量线的温度梯度上22个地点的173个C3多年生草本植物样本的碳同位素组成(δC)。结果表明,降水明显影响温度与叶片δC之间的相关性。通过协方差分析(ANCOVA)去除降水的影响后,站点平均叶片δC与年平均温度(AMT)之间获得了更强的正相关关系,回归系数为0.1636‰/°C(P = 0.0024)。对于广布种,[物种名称1]和[物种名称2],叶片δC与AMT的斜率(或系数)明显比未排除降水影响时叶片δC与AMT的斜率(或系数)更陡(更大),而扣除降水效应后,[物种名称1]和[物种名称2]的δ-T系数在样带上变化不大。此外,样带上温度与δC之间的正相关关系可以用与温度相关的土壤水分有效性来解释。我们的结果可能为研究过去气候变化的本质提供新的机会。