识别与美国西部树木极端生长状态相关的气候条件

IF 12 1区 环境科学与生态学 Q1 BIODIVERSITY CONSERVATION
Kiona Ogle, Jarrett J. Barber, Brandon M. Strange, Rohan D. Boone, Alicia M. Formanack, Drew M. P. Peltier
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引用次数: 0

摘要

气候extremes-e.g。在美国西部,干旱、大气河流、热浪的严重程度和频率都在增加。树木年轮宽度反映了这种极端气候的同步和遗留影响,但我们预测极端树木生长的能力往往很差。树木年轮数据本身能识别出驱动极端低生长和高生长状态的最重要的气候变量吗?这些气候驱动因素的重要性在不同的物种和时间有何不同?为了解决这些问题,我们探讨了极端低生年和高生年的空间同步性、气候影响对低生年和高生年概率的对称性,以及极端生长的气候驱动因素如何在不同树种之间变化。我们收集了来自美国西部604个地点的7种植物(4种裸子植物和3种被子植物)的年轮宽度,并将每个年轮分为极低、极高或名义生长。我们使用分类随机森林(RF)模型来评估30个季节性气候变量对预测极端生长的重要性,包括降水、温度和蒸汽压差(VPD)在环形成之前的4年。对于气候可以预测生长的四种物种(三种裸子植物,一种被子植物),RF模型分别正确地划分了89%-98%和80%-95%的低生年和高生年。对于这些物种来说,不对称的气候响应占主导地位。当年冬季水文气候(降水和VPD)对预测低生长最为重要,但预测高生长需要多年的有利水分条件,低生长年份的发生在空间上比高生长年份更同步。夏季气候和温度(不分季节)对极端生长只有微弱的预测作用。我们的研究结果激发了干旱的生态学相关定义,使当前冬季水分胁迫在控制广泛分布于美国西部的多种树种的生长减少方面发挥主导作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Identifying the Climate Conditions Associated With Extreme Growth States in Trees Across the Western United States

Identifying the Climate Conditions Associated With Extreme Growth States in Trees Across the Western United States

Climate extremes—e.g., drought, atmospheric rivers, heat waves—are increasing in severity and frequency across the western United States of America (USA). Tree-ring widths reflect the concurrent and legacy effects of such climate extremes, yet our ability to predict extreme tree growth is often poor. Could tree-ring data themselves identify the most important climate variables driving extreme low- and high-growth states? How does the importance of these climate drivers differ across species and time? To address these questions, we explored the spatial synchrony of extreme low- and high-growth years, the symmetry of climate effects on the probability of low- and high-growth years, and how climate drivers of extreme growth vary across tree species. We compiled ring widths for seven species (four gymnosperms and three angiosperms) from 604 sites in the western USA and classified each annual ring as representing extreme low, extreme high, or nominal growth. We used classification random forest (RF) models to evaluate the importance of 30 seasonal climate variables for predicting extreme growth, including precipitation, temperature, and vapor pressure deficit (VPD) during and up to four years prior to ring formation. For four species (three gymnosperms, one angiosperm) for which climate was predictive of growth, the RF models correctly classified 89%–98% and 80%–95% of low- and high-growth years, respectively. For these species, asymmetric climate responses dominated. Current-year winter hydroclimate (precipitation and VPD) was most important for predicting low growth, but prediction of high growth required multiple years of favorable moisture conditions, and the occurrence of low-growth years was more synchronous across space than high-growth years. Summer climate and temperature (regardless of season) were only weakly predictive of growth extremes. Our results motivate ecologically relevant definitions of drought such that current winter moisture stress exerts a dominant role in governing growth reductions in multiple tree species broadly distributed across the western USA.

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来源期刊
Global Change Biology
Global Change Biology 环境科学-环境科学
CiteScore
21.50
自引率
5.20%
发文量
497
审稿时长
3.3 months
期刊介绍: Global Change Biology is an environmental change journal committed to shaping the future and addressing the world's most pressing challenges, including sustainability, climate change, environmental protection, food and water safety, and global health. Dedicated to fostering a profound understanding of the impacts of global change on biological systems and offering innovative solutions, the journal publishes a diverse range of content, including primary research articles, technical advances, research reviews, reports, opinions, perspectives, commentaries, and letters. Starting with the 2024 volume, Global Change Biology will transition to an online-only format, enhancing accessibility and contributing to the evolution of scholarly communication.
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