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Comparison of tree-ring and eddy-covariance derived annual ecosystem production estimates for jack pine and trembling aspen forests in Saskatchewan, Canada
Agricultural and Forest Meteorology ( IF 6.2 ) Pub Date : 2021-05-27 , DOI: 10.1016/j.agrformet.2021.108469
JM Metsaranta , SD Mamet , J Maillet , AG Barr

Reliable projections of future carbon (C) dynamics are essential to resource management decision making under a changing climate. Additional corroborative data may reduce uncertainty in C flux estimates. Here we use a tree-ring based hybrid biometric modelling approach to estimate annual ecosystem production at jack pine (Pinus banksiana) and aspen (Populus tremuloides and Populus balsamifera) plots co-located with eddy-covariance installations in the boreal forest of Saskatchewan, Canada for a 28 year (1985 to 2012) period. Correspondence between tree-ring and eddy-covariance derived estimates was better for jack pine (14-year overlap, 1999 to 2012) than aspen (16-year overlap, 1997 to 2012), and better for some C fluxes than others. In particular, tree-ring estimates of annual and cumulative net ecosystem production were larger than eddy-covariance derived estimates for the overlapping period. Allometric equations, belowground production, and biomass turnover could neither be confirmed nor ruled out as causes of discrepancy, but a lower stand density and higher carbon use efficiency would together reduce observed differences for aspen. Tree-ring based estimates of biomass increment or net primary production showed good temporal correspondences with both current and previous year eddy-covariance analogues, and net and gross primary production. Similar comparisons for net ecosystem production and heterotrophic respiration had mixed results. This study improves on previous work by comparing independent estimates of the same fluxes quantities and demonstrates the value of tree-ring data for evaluating C flux estimates.



中文翻译:

加拿大萨斯喀彻温省杰克松和颤抖的白杨林树木年轮和涡度协方差得出的年度生态系统产量估算值的比较

在气候变化的情况下,可靠的未来碳(C)动态预测对于资源管理决策至关重要。附加的确证数据可以减少C通量估算的不确定性。在这里,我们使用基于树环的混合生物特征建模方法来估算杰克松(Pinus bankiana)和白杨(Populus tremuloidesPopulus balsamifera )的年度生态系统产量。)在28年(1985年至2012年)的时间内,与加拿大萨斯喀彻温省北方森林的涡流-协方差设备共存于同一地块。杰克·派恩(1999年至2012年重叠14年)的树年轮和涡度协方差估计值之间的对应关系好于白杨(1997年至16年重叠的16年重叠),并且某些C通量比其他方法更好。特别是,在重叠时期,年轮和生态系统净生产总值的年轮估算值大于涡度协方差估算值。不能确认或排除异速方程,地下生产和生物量周转是差异的原因,但较低的林分密度和较高的碳利用效率将共同减少白杨的观测差异。基于树年轮的生物量增量或净初级生产估算值与当年和上一年的涡度-协方差类似物以及净初级生产总值和总初级生产均显示出良好的时间对应性。净生态系统生产和异养呼吸的类似比较结果参差不齐。这项研究通过比较相同通量的独立估计值对以前的工作进行了改进,并展示了用于评估C通量估计值的树环数据的价值。

更新日期:2021-05-27
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