Microsite conditions influence leaf litter decomposition in sugar maple bioclimatic domain of Quebec
Microsite conditions influence leaf litter decomposition in sugar maple bioclimatic domain of Quebec
复制标题
DOI：
10.1007/s10533-019-00594-1
复制
发表时间：
2019-10-01
期刊：
影响因子：
4
通讯作者：
Rivest, David
中科院分区：
文献类型：
--
作者：
Belanger, Nicolas;Collin, Alexandre;Rivest, David
森林中凋落物分解受树种组成的影响，产生具有特定特征的凋落物，并改变土壤表面条件和养分供应。然而，这种变化对凋落物分解的土壤微立地条件的影响很难阐明。我们研究了分解糖枫叶在22个地块不同的纯硬木混合木材针叶为主的立场在糖枫生物气候域在魁北克的四个网站。质量损失和养分释放进行了为期2年的实验评估。在树冠下测量的水分供应的代理更有价值的解释比土壤温度，凋落物质量和一般的网站测量（如空气温度，雨水）的变化，落叶分解率。降雨量和土壤体积含水量（VWC）解释了56%的质量损失常数的变异。硬木下的糖枫叶凋落物也比针叶林占主导地位的林分分解得更快。针叶林为主的林分下的凋落物分解速度较慢，再次更大程度上控制了较低的土壤VWC比更酸性的森林地面由针叶。这项研究强调，在微站点水平上测量的水分可用性的代理可以是关键变量来预测森林中的凋落物动态。
Litter decomposition in forests is affected by tree species composition which produces litters with specific characteristics and alters soil surface conditions and nutrient availability. The impact of such changes in soil microsite conditions on litter decomposition is however poorly elucidated. We studied the decomposition of sugar maple leaves in 22 plots varying from pure hardwoods to mixedwoods to conifer-dominated stands across four sites in the sugar maple bioclimatic domain in Quebec. Mass loss and nutrient release were assessed over a 2-year experiment. Proxies of moisture availability measured under the canopy were more valuable for explaining the variability in leaf litter decomposition rates than soil temperature, litter quality and general site measurements (e.g. air temperature, rainwater). Throughfall amounts and soil volumetric water content (VWC) explained 56% of the variability in mass loss constants. Sugar maple leaf litter under hardwoods also decomposed more rapidly than under conifer-dominated stands. Slower litter decomposition under conifer-dominated stands was again more largely controlled by the lower soil VWC than the more acidic forest floor created by the needles. This study highlights that proxies of moisture availability measured at the microsite level can be key variables to predict litter dynamics in forests.