Towards broad‐scale temperature reconstructions for Eastern North America using blue light intensity from tree rings
Towards broad‐scale temperature reconstructions for Eastern North America using blue light intensity from tree rings
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DOI：
10.1002/joc.6910
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发表时间：
2020-11
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通讯作者：
G. Harley;K. J. Heeter;Justin T. Maxwell;Shelly A Rayback;R. S. Maxwell;Ty E. P. Reinemann;A. Taylor
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作者：
G. Harley;K. J. Heeter;Justin T. Maxwell;Shelly A Rayback;R. S. Maxwell;Ty E. P. Reinemann;A. Taylor
北美东部（以下简称东部）夏季气温将很快达到持续高于仪器观测期间观测到的水平。气温升高将对自然系统（例如水、植物和动物群落）和人类系统（例如健康、基础设施、经济）产生负面影响，而该地区庞大且不断增长的人口中心所依赖的系统。在北半球树木年轮温度代理记录网络中，最明显的地理漏洞之一是东部，那里几乎不存在温度敏感代理。在这里，我们展示了利用蓝光强度（BI）方法构建东部温度敏感代理记录网络的第一步，该方法应用于从北卡罗来纳州到美国缅因州的多种温度敏感树种的年轮。我们的总体目标是通过探索仪器温度和 BI 指标之间的时间（例如，自 1900 年左右）和空间关系，报告东部不同地区（例如美国东南部、美国中西部、美国东北部/加拿大沿海地区）最可行的 BI 分析物种。我们发现 BI 是美国东北部/加拿大东部 3 月至 10 月平均气温 (R2 = 0.61) 以及美国东南部 9 月至 10 月最高气温 (R2 = 0.42) 的有力预测因子。在所有测试的物种中，加拿大铁杉和红云杉含有最强的 BI 温度信号。添加更多来自这些物种和潜在其他物种的 BI 站点，以及包含其他温度代理（例如环宽度），将有助于在整个东部地区进行熟练的大规模和长期温度场重建。
Summer temperatures across eastern North America (hereafter East) will soon reach a level consistently above any observation experienced during the instrumental period. Increasing temperatures will have negative impacts on natural (e.g., water, plant and animal communities) and human (e.g., health, infrastructure, economies) systems upon which the large and growing centres of human population across the region depend. Within the network of Northern Hemisphere tree‐ring temperature proxy records, one of the most obvious geographic holes is the East, where few temperature‐sensitive proxies exist. Here we present the first steps towards building a network of temperature‐sensitive proxy records across the East using blue light intensity (BI) methods applied to the tree rings of multiple temperature sensitive tree species situated from North Carolina to Maine, USA. Our overall objective is to report on the most viable species for BI analysis across different regions of the East (e.g., Southeast US, Midwest US, Northeast US/Canadian Maritimes) by exploring temporal (e.g., since ca. 1900) and spatial relationships between instrumental temperatures and BI metrics. We found BI to be a strong predictor of March–October mean air temperature (R2 = 0.61) across the Northeast US/eastern Canada, and Sep‐Oct maximum air temperature (R2 = 0.42) across the Southeast US. Of all species tested, Tsuga canadensis and Picea rubens contained the strongest BI temperature signal. Adding more BI sites from these and potentially other species, as well as inclusion of other temperature proxies (e.g., ring widths) will allow for the development of a skilful broad‐scale and long‐term temperature field reconstruction across the East.