Asymmetric temperature effect on leaf senescence and its control on ecosystem productivity.

IF 2.2 Q2 MULTIDISCIPLINARY SCIENCES
PNAS nexus Pub Date : 2024-10-23 eCollection Date: 2024-11-01 DOI:10.1093/pnasnexus/pgae477
Lei He, Jian Wang, Josep Peñuelas, Constantin M Zohner, Thomas W Crowther, Yongshuo Fu, Wenxin Zhang, Jingfeng Xiao, Zhihua Liu, Xufeng Wang, Jia-Hao Li, Xiaojun Li, Shouzhang Peng, Yaowen Xie, Jian-Sheng Ye, Chenghu Zhou, Zhao-Liang Li
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引用次数: 0

Abstract

Widespread autumn cooling occurred in the northern hemisphere (NH) during the period 2004-2018, primarily due to the strengthening of the Pacific Decadal Oscillation and Siberian High. Yet, while there has been considerable focus on the warming impacts, the effects of natural cooling on autumn leaf senescence and plant productivity have been largely overlooked. This gap in knowledge hinders our understanding of how vegetation adapts and acclimates to complex climate change. In this study, we utilize over 36,000 in situ phenological time series from 11,138 European sites dating back to the 1950s, and 30 years of satellite greenness data (1989-2018), to demonstrate that leaf senescence dates (LSD) in northern forests responded more strongly to warming than to cooling in autumn. Specifically, a 1 °C increase in temperature caused 7.5 ± 0.2 days' delay in LSD, whereas a 1 °C decrease led to an advance of LSD with 3.3 ± 0.1 days (P < 0.001). This asymmetry in temperature effects on LSD is attributed to greater preoverwintering plant-resource acquisition requirements, lower frost risk, and greater water availability under warming than cooling conditions. These differential LSD responses highlight the nonlinear impact of temperature on autumn plant productivity, which current process-oriented models fail to accurately capture. Our findings emphasize the need to account for the asymmetric effects of warming and cooling on leaf senescence in model projections and in understanding vegetation-climate feedback mechanisms.

温度对叶片衰老的不对称影响及其对生态系统生产力的控制。
2004-2018年期间,北半球出现了大范围的秋季降温,主要原因是太平洋十年涛动和西伯利亚高纬度的加强。然而,尽管人们对气候变暖的影响颇为关注,但自然降温对秋叶衰老和植物生产力的影响却在很大程度上被忽视了。这一知识空白阻碍了我们对植被如何适应复杂气候变化的理解。在这项研究中,我们利用了欧洲 11138 个地点的 36000 多个原地物候时间序列(可追溯到 20 世纪 50 年代)和 30 年的卫星绿度数据(1989-2018 年),证明北方森林的叶片衰老日期(LSD)对秋季气候变暖的反应比对秋季气候变冷的反应更强烈。具体而言,气温升高 1 °C,叶片衰老期推迟 7.5 ± 0.2 天,而气温降低 1 °C,叶片衰老期提前 3.3 ± 0.1 天(P < 0.001)。温度对 LSD 影响的这种不对称性归因于越冬前植物对资源获取的要求更高、霜冻风险更低以及在升温条件下比降温条件下有更多的水可用。这些不同的 LSD 反应凸显了温度对秋季植物生产力的非线性影响,而目前以过程为导向的模型未能准确捕捉到这一点。我们的发现强调,在模型预测和理解植被-气候反馈机制时,需要考虑升温和降温对叶片衰老的非对称影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
1.80
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