Separating the climatic signal from tree-ring width and maximum latewood density records

We propose a technique for separating the climatic signal which is contained in two tree-ring parameters widely used in dendroclimatology. The method is based on the removal of the relationship between tree-ring width (TRW) and maximum latewood density (MXD) observed for narrow tree rings from high latitudes. The new technique is tested on data from three larch stands located along the northern timberline in Eurasia. Correlations were calculated between the temperatures of pentads (five consecutive days), TRW chronologies and MXD chronologies calculated according to the standard and proposed methods. The analysis confirms the great importance of summer temperature for tree radial growth and tree-ring formation. TRW is positively correlated with the temperature of four to eight pentads (depending on the region) at the beginning of the growth season, but MXD as obtained by the standard technique is correlated with temperature over a much longer period. For maximum density series from which the relationship between MXD and TRW has been removed (MXD′), there is a clear correlation with temperatures in the second part of the growing season. These results are consistent with the known dynamics of tree-ring growth in high latitudes and mechanisms of tree-ring formation.     

Large-scale,millennial-length temperature reconstructions from tree-rings

Over the past two decades, the dendroclimate community has produced various annually resolved, warm season temperature reconstructions for the extratropical Northern Hemisphere. Here we compare these tree-ring based reconstructions back to 831 CE and present a set of basic metrics to provide guidance for non-specialists on their interpretation and use. We specifically draw attention to (i) the imbalance between (numerous) short and (few) long site chronologies incorporated into the hemispheric means, (ii) the beneficial effects of including maximum latewood density chronologies in the recently published reconstructions, (iii) a decrease in reconstruction covariance prior to 1400 CE, and (iv) the varying amplitudes and trends of reconstructed temperatures over the past 1100 years. Whereas the reconstructions agree on several important features, such as warmth during medieval times and cooler temperatures in the 17th and 19th centuries, they still exhibit substantial differences during 13th and 14th centuries. We caution users who might consider combining the reconstructions through simple averaging that all reconstructions share some of the same underlying tree-ring data, and provide four recommendations to guide future efforts to better understand past millennium temperature variability.     

A tree-ring densitometric transect from Alaska to Labrador

We describe a recently completed network of densitometric tree-ring time series representing various aspects of tree-growth for up to 200 years at 69 sites spread across the northern North American conifer zone from Yukon to Labrador. Duplicate cores, from 12 to 15 trees per site, provide time series for a suite of growth parameters including earlywood (spring), latewood (summer) and total (annual) ring widths and mean earlywood, mean latewood, minimum and maximum ring density. These data form the basis for extensive analyses of intra- and inter-site parameter comparisons and regional climate/tree-growth comparisons. Five large-scale regional chronologies do not suggest that any anomalous growth increases have occurred in recent decades, at least on these regional scales, despite the observed changes in atmospheric composition and climate.     

Detrending climate data prior to climate–growth analyses in dendroecology: A common best practice?

Tree growth varies closely with high–frequency climate variability. Since the 1930s detrending climate data prior to comparing them with tree growth data has been shown to better capture tree growth sensitivity to climate. However, in a context of increasingly pronounced trends in climate, this practice remains surprisingly rare in dendroecology. In a review of Dendrochronologia over the 2018–2021 period, we found that less than 20 % of dendroecological studies detrended climate data prior to climate-growth analyses. With an illustrative study, we want to remind the dendroecology community that such a procedure is still, if not more than ever, rational and relevant. We investigated the effects of detrending climate data on climate–growth relationships across North America over the 1951–2000 period. We used a network of 2536 tree individual ring-width series from the Canadian and Western US forest inventories. We compared correlations between tree growth and seasonal climate data (Tmin, Tmax, Prec) both raw and detrended. Detrending approaches included a linear regression, 30-yr and 100-yr cubic smoothing splines. Our results indicate that on average the detrending of climate data increased climate–growth correlations. In addition, we observed that strong trends in climate data translated to higher variability in inferred correlations based on raw vs. detrended climate data. We provide further evidence that our results hold true for the entire spectrum of dendroecological studies using either mean site chronologies and correlations coefficients, or individual tree time series within a mixed-effects model framework where regression coefficients are used more commonly. We show that even without a change in correlation, regression coefficients can change a lot and we tend to underestimate the true climate impact on growth in case of climate variables containing trends. This study demonstrates that treating climate and tree-ring time series “like-for-like” is a necessary procedure to reduce false negatives and positives in dendroecological studies. Concluding, we recommend using the same detrending for climate and tree growth data when tree-ring time series are detrended with splines or similar frequency-based filters.     

林分密度对云顶山柏木人工林林下植物优势种群生态位的影响

柏木(Cupressus funebris)人工林是川中盆地森林主要类型,林下植物是森林生态系统重要组成部分。该研究采取典型抽样法,调查分析云顶山柏木人工林现存密度[1 100株·hm^-2(A)、950株·hm^-2(B)、800株·hm^-2(C)、650株·hm^-2(D)、500株·hm^-2(E)]的林下灌、草优势种群Shannon生态位宽度(B_sw)、Levins生态位重叠值(O_ik)以及生态位宽度和重叠均值与环境因子的相关性,从生态位特征探究林下植物优势种群对不同林分密度的响应,明确相对适宜的林分密度,分析不同林分密度柏木人工林林下植物种间、群落与环境的关系,筛选出现存相对最优林分密度,为柏木人工林林下植物多样性保育和森林经营措施提供理论支撑。结果表明：(1)研究区共有草本植物38科72属94种,灌木42科65属99种,物种数量随柏木密度的减小呈先增后减的趋势,且在柏木密度为650株·hm^-2时达到峰值。(2...     

qSOFA评分、血乳酸及红细胞分布宽度与急性上消化道出血病情严重程度的关系及其预测患者预后的效能分析

摘要 目的：探讨快速序贯器官功能衰竭评估（qSOFA）评分、血乳酸（Lac）及红细胞分布宽度（RDW）与急性上消化道出血（AUGIB）病情严重程度的关系及其预测患者预后的效能。方法：选取2017年6月～2022年6月我院收治的230例AUGIB患者为研究对象,根据病情严重程度分为低危组44例、中危组140例、高危组36例、极高危组10例,且根据其入院28 d内生存情况分为死亡组（n=31）和存活组（n=199）。收集AUGIB患者临床资料,检测血Lac、RDW水平并计算qSOFA评分。采用多因素Logistic回归分析AUGIB患者预后不良的影响因素,受试者工作特征（ROC）曲线分析qSOFA评分和血Lac、RDW对AUGIB患者预后不良的预测价值。结果：低危组、中危组、高危组、极高危组qSOFA评分和血Lac、RDW水平依次升高（P＜0.05）。230例AUGIB患者入院28 d内死亡率为13.48％（31/230）。多因素Logistic回归分析显示,年龄增加、GBS评分≥6分及休克指数、qSOFA评分、血尿素氮、血Lac、RDW水平升高为AUGIB患者预后不良的独立危险因素（P＜0.05）。ROC曲线分析显示,qSOFA评分、血Lac及RDW联合预测AUGIB患者预后不良的曲线下面积大于qSOFA评分、血Lac及RDW单独预测。结论：AUGIB患者qSOFA评分、血Lac及RDW水平升高与病情加重和预后不良密切相关,qSOFA评分、血Lac及RDW联合预测AUGIB患者预后不良的效能较高。