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首页> 外文期刊>Trees. Structure and Function >Comparison of tree-ring growth and eddy covariance-based ecosystem productivities in three different-aged pine plantation forests
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Comparison of tree-ring growth and eddy covariance-based ecosystem productivities in three different-aged pine plantation forests

机译:三种不同老化杉木种植林的树木增长和基于涡旋协方差的生态系统生产的比较

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Key message This study utilized dendrochronology and long-term (2003-2017) eddy covariance (EC) carbon flux data to investigate the relationships between tree growth and gross ecosystem productivity (GEP(EC)) in different-age (15-, 42- and 78-year old) pine plantation forests in the Great Lakes region in eastern North America and found that tree-ring growth in these different-age pine forests was significantly (p < 0.05) correlated with observed annual GEP(EC) values. Forests play a major role in the global carbon cycle. Understanding the dynamics of the forest carbon cycle and its driving factors is challenging. This study utilized dendrochronology and long-term (2003-2017) eddy covariance (EC) carbon flux data to investigate the relationships between tree growth and gross and net ecosystem productivities (GEP(EC) and NEPEC) in different-age (15-, 42- and 78-year old) pine plantation forests in the Great Lakes region in eastern North America. Tree growth in these different-age pine forests was significantly (p < 0.05) correlated with observed annual GEP(EC) values, while coherence between tree growth and NEPEC was relatively poor. Current-year and 1-year lagged ring-width chronologies and climate variables, including spring (April-May) temperature (T-SPR) and Standardized Potential Evapotranspiration Index (SPEISUM) over the summer months (June-August) were used to test ten different linear regression models to simulate tree-ring-based GEP (GEP(TR)) values at all three sites. This analysis showed that current-year growth was the best predictor of GEP(TR) at all three sites, when compared to observed GEP(EC,) except during drought years, when GEP(TR) was underestimated. Current-year tree growth models were then used to reconstruct GEP(TR) over the life span of each stand. These reconstructions showed low GEP(TR) values from 1978 to 1988 and from 2002 to 2007. Low GEP(TR) in late 1970s occurred in response to below average temperatures when there were no major drought periods, while low GEP(TR) in early 2000s occurred following drought-like conditions in 2002. However, in recent years relatively higher GEP(TR) was observed at all three different-age forest sites. This interdisciplinary study will help to improve our understanding of carbon exchanges and the key environmental controls and associated uncertainties on tree growth in these different-age plantation stands in eastern North America. It will also help to determine how these forests may respond to climate change.
机译:关键信息本研究利用树木年代学和长期(2003-2017年)涡流协方差(EC)碳通量数据,研究北美东部大湖区不同年龄(15、42和78岁)的松树人工林中树木生长与总生态系统生产力(GEP(EC))之间的关系,发现这些不同年龄的松树的年轮生长是非常缓慢的与观测到的年度GEP(EC)值显著相关(p<0.05)。森林在全球碳循环中发挥着重要作用。理解森林碳循环的动态及其驱动因素是一项挑战。本研究利用树木年代学和长期(2003-2017)涡流协方差(EC)碳通量数据,研究北美东部大湖区不同年龄(15、42和78年)松树人工林中树木生长与总生态系统生产力和净生态系统生产力(GEP(EC)和NEPEC)之间的关系。这些不同年龄的松林中的树木生长与观测到的年度GEP(EC)值显著相关(p<0.05),而树木生长与NEPEC之间的一致性相对较差。利用当年和1年滞后年轮宽度年表和气候变量,包括春季(4月至5月)温度(T-SPR)和夏季(6月至8月)的标准化潜在蒸散指数(SPEISUM),测试了10种不同的线性回归模型,以模拟所有三个地点基于树木年轮的GEP(GEP(TR))值。该分析表明,与观测到的GEP(EC)相比,当前年份的增长是所有三个地点GEP(TR)的最佳预测因子,但干旱年份除外,当时GEP(TR)被低估。然后利用当年的树木生长模型重建每个林分寿命期间的GEP(TR)。这些重建显示1978年至1988年和2002年至2007年的GEP(TR)值较低。20世纪70年代末的低GEP(TR)发生在没有重大干旱期的低于平均温度的情况下,而21世纪初的低GEP(TR)发生在2002年类似干旱的情况下。然而,近年来,在所有三个不同年龄的森林地点都观察到相对较高的GEP(TR)。这项跨学科研究将有助于提高我们对北美东部不同年龄人工林中碳交换、关键环境控制和树木生长相关不确定性的理解。它还将有助于确定这些森林可能如何应对气候变化。

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