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Evaluating revised biomass equations: are some forest types more equivalent than others?

机译:评价修订后的生物量方程式:某些森林类型比其他森林类型更等同吗?

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Background In 2014, Chojnacky et al. published a revised set of biomass equations for trees of temperate US forests, expanding on an existing equation set (published in 2003 by Jenkins et al.), both of which were developed from published equations using a meta-analytical approach. Given the similarities in the approach to developing the equations, an examination of similarities or differences in carbon stock estimates generated with both sets of equations benefits investigators using the Jenkins et al. (For Sci 49:12–34, 2003 ) equations or the software tools into which they are incorporated. We provide a roadmap for applying the newer set to the tree species of the US, present results of equivalence testing for carbon stock estimates, and provide some general guidance on circumstances when equation choice is likely to have an effect on the carbon stock estimate. Results Total carbon stocks in live trees, as predicted by the two sets, differed by less than one percent at a national level. Greater differences, sometimes exceeding 10–15?%, were found for individual regions or forest type groups. Differences varied in magnitude and direction; one equation set did not consistently produce a higher or lower estimate than the other. Conclusions Biomass estimates for a few forest type groups are clearly not equivalent between the two equation sets—southern pines, northern spruce-fir, and lower productivity arid western forests—while estimates for the majority of forest type groups are generally equivalent at the scales presented. Overall, the possibility of very different results between the Chojnacky and Jenkins sets decreases with aggregate summaries of those ‘equivalent’ type groups.
机译:背景知识2014年,Chojnacky等人在现有的方程组(Jenkins等人于2003年出版)的基础上,A。B.等人发布了修订的美国温带森林树木生物量方程组,这两个方程组都是使用荟萃分析法从已发表的方程中开发出来的。考虑到方程式开发方法的相似性,使用这两种方程式对产生的碳储量估算值的相似性或差异进行检验,可以使研究人员使用Jenkins等人的方法。 (对于Sci 49:12–34,2003年)方程或将其合并到其中的软件工具。我们提供了将更新的集合应用于美国的树种的路线图,提供了碳库估计值的等效测试结果,并为当方程式选择可能会影响碳库估计值的情况提供了一些一般性指导。结果两组预测,活树的总碳储量在全国范围内的差异小于1%。对于单个区域或森林类型组,发现更大的差异,有时超过10-15%。差异的大小和方向各不相同;一个方程组并不能始终比另一个方程组产生更高或更低的估计。结论在两个方程组(南部松树,北部云杉杉和生产力较低的干旱森林)之间,几个森林类型组的生物量估计显然不相等,而在给出的尺度上,大多数森林类型组的估计量通常是等效的。总体而言,Chojnacky和Jenkins集之间出现非常不同的结果的可能性随着这些“等效”类型组的汇总而降低。

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