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Comparing tree‐ring and permanent plot estimates of aboveground net primary production in three eastern U.S. forests

机译:比较美国东部三种森林的地上净初级生产的树木年轮和永久样地估计

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Forests account for a large portion of sequestered carbon, much of which is stored as wood in trees. The rate of carbon accumulation in aboveground plant material, or aboveground net primary productivity ( aNPP ), quantifies annual to decadal variations in forest carbon sequestration. Permanent plots are often used to estimate aNPP but are usually not annually resolved and take many years to develop a long data set. Tree rings are a unique and infrequently used source for measuring aNPP , and benefit from fine spatial (individual trees) and temporal (annual) resolution. Because of this precision, tree rings are complementary to permanent plots and the suite of tools used to study forest productivity. Here we evaluate whether annual estimates of aNPP developed from tree rings approximate estimates derived from colocated permanent plots. We studied a lowland evergreen (Howland, Maine), mixed deciduous (Harvard Forest, Massachusetts), and mixed mesophytic (Fernow, West Virginia) forest in the eastern United States. Permanent plots at the sites cover an area of 2–3?ha, and we use these areas as benchmarks indicative of the forest stand. We simulate random draws of permanent plot subsets to describe the distribution of aNPP estimates given a sampling area size equivalent to the tree‐ring plots. Though mean tree‐ring aNPP underestimates permanent plot aNPP slightly at Howland and Fernow and overestimates at Harvard Forest when compared with the entire permanent plot, it is within the 95% confidence interval of the random draws of equal‐sized sampling area at all sites. To investigate whether tree‐ring aNPP can be upscaled to the stand, we conducted a second random draw of permanent plot subsets simulating a twofold increase in sampling area. aNPP estimates from this distribution were not significantly different from results of the initial sampling area, though variance decreased as sampling area approaches stand area. Despite several concerns to consider when using tree rings to reconstruct aNPP (e.g., upscaling, allometric, and sampling uncertainties), the benefits are apparent, and we call for the continued application of tree rings in carbon cycle studies across a broader range of species diversity, productivity, and disturbance histories to fully develop this potential.
机译:森林占隔离碳的很大一部分,其中大部分以木材的形式存储在树木中。地上植物材料中碳的积累速度或地上净初级生产力(aNPP)量化了森林固碳中每年到十年的变化。永久性地块通常用于估计aNPP,但通常无法每年解析,并且需要很多年才能开发出较长的数据集。树木年轮是用于测量aNPP的独特且很少使用的来源,并且得益于精细的空间(单个树木)和时间(年度)分辨率。由于这种精度,树木年轮可作为永久性样地和用于研究森林生产力的工具套件的补充。在这里,我们评估从树年轮开发的aNPP的年度估算值是否近似于从同一位置的永久性地块得出的估算值。我们研究了美国东部的低地常绿树(缅因州霍兰市),混合落叶林(马萨诸塞州哈佛森林)和混合中生森林(西弗吉尼亚州费诺尔)。场地上的永久性地块占地2-3公顷,我们将这些区域用作指示林分的基准。我们模拟了永久性地块子集的随机绘制,以描述给定采样面积等于树环图的情况下aNPP估计的分布。尽管与整个永久性地块相比,平均树木年轮aNPP在Howland和Fernow上低估了永久性地块aNPP,在哈佛森林中高估了它,但它在所有地点均等大小抽样区域的随机抽取的95%置信区间内。为了调查树环aNPP是否可以升级到林分,我们进行了第二次随机绘制的永久样地子集,模拟了采样面积的两倍增长。从该分布得出的aNPP估计值与初始采样区域的结果没有显着差异,尽管随着采样区域接近静置区域,方差减小。尽管在使用年轮重建aNPP时要考虑几个问题(例如,放大,异速测量和采样不确定性),其好处是显而易见的,我们呼吁继续在更广泛的物种多样性碳循环研究中应用年轮,生产力和骚扰历史来充分开发这种潜力。

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