Rainfall partitioning varies across a forest age chronosequence in the southern A ppalachian M ountains

Rainfall partitioning varies across a forest age chronosequence in the southern A ppalachian M ountains
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阿巴拉契亚山脉南部的森林年龄时间序列的降雨分配各不相同

DOI:
10.1002/eco.2081
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发表时间:
2019
期刊:
影响因子:
2.6
通讯作者:
Bolstad, Paul V.
Bolstad, Paul V.
中科院分区:
环境科学与生态学3区
文献类型:
--
作者:
Brantley, Steven T.;Miniat, Chelcy F.;Bolstad, Paul V.

文献摘要

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植物表面的降水蒸发或截留是全球水收支的主要组成部分。在各种各样的森林类型中,已经测量和/或模拟了拦截;然而,大多数研究都集中在成熟的次生林上,很少有研究考察了森林年龄级的拦截过程。我们目前的数据上的两个组成部分的拦截,总冠层拦截(Ei)和凋落物拦截,即Oi+ Oehorizon层-(EFF),在整个林龄时序,从2年以来收获老增长。我们使用降水,穿透,茎流收集器来测量总降雨量(P)和estimateEi,并收集枯落物生物量和模拟枯落物的湿润和干燥,以估计从枯落物蒸发损失。林冠Ei,P减去穿透雨,随着林龄的增加迅速增加,然后趋于平稳,最大值为21%的老生长点。树干流量也因林分而异,在12年生高密度林分中观察到最高的树干流量(约8%的P)。模型效应为P的4-6%,并且在不同研究中心之间没有变化。林分总截留损失(Ei+Eff)最好由林龄(R2= 0.77)预测,而不是结构参数,如断面积(R2= 0.49)或叶面积(R2< 0.01)。森林年龄似乎是一个重要的驱动程序,即使林分层次的结构变量是相似的森林山区流域的截留损失。这些结果将有助于我们了解整个森林年龄的更广泛的矩阵,现代森林景观的特点水预算。
Evaporation of precipitation from plant surfaces, or interception, is a major component of the global water budget. Interception has been measured and/or modelled across a wide variety of forest types; however, most studies have focused on mature, second‐growth forests, and few studies have examined interception processes across forest age classes. We present data on two components of interception, total canopy interception (Ei) and litter interception—that is, Oi+ Oehorizon layers—(Eff), across a forest age chronosequence, from 2 years since harvest to old growth. We used precipitation, throughfall, and stemflow collectors to measure total rainfall (P) and estimateEi; and collected litter biomass and modelled litter wetting and drying to estimate evaporative loss from litter. CanopyEi,Pminus throughfall, increased rapidly with forest age and then levelled off to a maximum of 21% ofPin an old‐growth site. Stemflow also varied across stands, with the highest stemflow (~8% ofP) observed in a 12‐year‐old stand with high stem density. ModelledEffwas 4–6% ofPand did not vary across sites. Total stand‐level interception losses (Ei+Eff) were best predicted by stand age (R2= 0.77) rather than structural parameters such as basal area (R2= 0.49) or leaf area (R2< 0.01). Forest age appears to be an important driver of interception losses from forested mountain watersheds even when stand‐level structural variables are similar. These results will contribute to our understanding of water budgets across the broader matrix of forest ages that characterize the modern forest landscape.