Winter climate preconditioning of summer vegetation extremes in the northern hemisphere

Mohit Anand, Raed Hamed, Nora Linscheid, Patrícia S. Silva, Julie Andre, Jakob Zscheischler, Freya K. Garry, Ana Bastos
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Abstract

The impact of spring climate on the Northern Hemisphere's summer vegetation activity and extremes has been extensively researched, but less attention has been devoted to whether and how winter climate may additionally influence vegetation extremes in summer. Here, we provide insights into the influence of winter temperature and precipitation on summer vegetation extremes in the Northern Hemisphere. To do this, we identify positive and negative extremes in the summer Leaf Area Index (LAI, a proxy for vegetation activity) and assess winter effects on those extremes using logistic regression at the regional scale. Over a quarter of the regions in the Northern Hemisphere show strong winter climate preconditioning on summer LAI extremes, which is typically stronger for croplands than forests. In the regions with strong winter preconditioning, spring LAI mediates the link between winter climate and summer LAI extremes through the ecological memory in seasonal legacy effects. Our findings suggest that extremely low summer LAI in both croplands and forests is preconditioned by colder and drier winters, while extremely high summer LAI in forests is associated with warmer and wetter winters. For low summer LAI in croplands, warmer winters are associated with an increased likelihood of extremes in mid-latitude regions and a reduced likelihood in high latitude regions. Consideration of winter preconditioning effects may improve understanding of inter-annual variability of vegetation activity and support agricultural and land management practitioners in anticipating detrimental effects of winter on crop yields and forest conditions.
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北半球夏季极端植被的冬季气候先决条件
春季气候对北半球夏季植被活动和极端情况的影响已得到广泛研究,但对冬季气候是否以及如何额外影响夏季植被极端情况的研究关注较少。在此,我们将深入探讨冬季气温和降水对北半球夏季极端植被的影响。为此,我们确定了夏季叶面积指数(LAI,植被活动的替代指标)的正负极端值,并在区域范围内使用逻辑回归评估了冬季对这些极端值的影响。北半球超过四分之一的地区显示出冬季气候对夏季叶面积指数极端值的强预调作用,通常耕地的预调作用强于森林。在冬季预报条件较强的地区,春季 LAI 通过季节遗留效应中的生态记忆调节冬季气候与夏季 LAI 极端值之间的联系。我们的研究结果表明,耕地和森林中极度低的夏季LAI都是以较冷和较干的冬季为前提条件的,而森林中极度高的夏季LAI则与较暖和较湿的冬季有关。对于耕地的低夏季 LAI 来说,在中纬度地区,温暖的冬季与出现极端天气的可能性增加有关,而在高纬度地区则与出现极端天气的可能性降低有关。考虑冬季先决条件的影响可提高对植被活动年际变化的认识,并帮助农业和土地管理从业人员预测冬季对作物产量和森林状况的不利影响。
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