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Climatic controls of aboveground net primary production in semi-arid grasslands along a latitudinal gradient portend low sensitivity to warming

机译:半干旱草原上面净初级生产的气候控制沿着纬度梯度对变暖的敏感性低

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摘要

Although climate models forecast warmer temperatures with a high degree of certainty, precipitation is the primary driver of aboveground net primary production (ANPP) in most grasslands. Conversely, variations in temperature seldom are related to patterns of ANPP. Thus forecasting responses to warming is a challenge, and raises the question: how sensitive will grassland ANPP be to warming? We evaluated climate and multi-year ANPP data (67 years) from eight western US grasslands arrayed along mean annual temperature (MAT; ~7–14 °C) and mean annual precipitation (MAP; ~250–500 mm) gradients. We used regression and analysis of covariance to assess relationships between ANPP and temperature, as well as precipitation (annual and growing season) to evaluate temperature sensitivity of ANPP. We also related ANPP to the standardized precipitation evaporation index (SPEI), which combines precipitation and evapotranspiration to better represent moisture available for plant growth. Regression models indicated that variation in growing season temperature was negatively related to total and graminoid ANPP, but precipitation was a stronger predictor than temperature. Growing season temperature was also a significant parameter in more complex models, but again precipitation was consistently a stronger predictor of ANPP. Surprisingly, neither annual nor growing season SPEI were as strongly related to ANPP as precipitation. We conclude that forecasted warming likely will affect ANPP in these grasslands, but that predicting temperature effects from natural climatic gradients is difficult. This is because, unlike precipitation, warming effects can be positive or negative and moderated by shifts in the C3/C4 ratios of plant communities.
机译:虽然气候模型预测具有高度确定性的温暖温度,但降水是大多数草原上的地上净初级生产(ANPP)的主要驱动因素。相反,温度的变化很少与ANPP的模式有关。因此,预测变暖的反应是一项挑战,并提出了问题:草原ANPP的敏感程度是多么敏感?我们评估了沿着平均年度温度(MAT;〜7-14°C)和平均年降水量(MAP;〜250-500 mm)梯度排列的八个西方草原的气候和多年ANPP数据(67岁)。我们使用了协方差的回归和分析,以评估ANPP和温度之间的关系,以及降水(年度和生长季节)来评估ANPP的温度敏感性。我们还将ANPP与标准化沉淀蒸发指数(SPEI)相关,其将沉淀和蒸散蒸腾结合以更好地代表植物生长的水分。回归模型表明,生长季温度的变化与总和谷类脂肪和谷类脂肪酸均相关,但沉淀比温度更强的预测值。在更复杂的型号中,生长季节温度也是一个重要的参数,但再次降水是ANPP的更强烈的预测因子。令人惊讶的是,每年和不断增长的季节Spei与ANPP都是强烈的降水。我们得出结论,预测变暖可能会影响这些草原的ANPP,但预测自然气候梯度的温度效应是困难的。这是因为,与植物群落的C3 / C4比的转变,温暖效果不同,温暖效应可以是正的或阴性的,并且受到偏移的。

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