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Spatial and temporal variability of tree transpiration and its drivers along a soil drainage gradient in the boreal black spruce forest .

机译:北方黑云杉林蒸腾量及其沿土壤排水梯度的驱动力时空变异。

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摘要

Natural ecosystems vary both in time and space creating large- and small-scale heterogeneity in processes and their driving mechanisms. Assumptions of homogeneity at one spatial or temporal scale my lead to inaccurate quantification of biological processes and their drivers. This may result in over- or underestimation of chemical fluxes when scaling from plot- to regional-level measurement. An even bigger challenge is determining how chemical fluxes will respond to global changes such as warmer temperatures, drier growing seasons, increased wildfire frequency, and longer growing seasons. In order to accurately predict ecosystem response to global change, studies of natural systems must focus on processes occurring along environmental gradients to capture the heterogeneity of the system. This research meets this goal by quantifying temporal and spatial heterogeneity of tree transpiration along a soil drainage gradient in the boreal black spruce forest. Using different measurement and analysis protocols such as heat dissipation sensors, stable isotope analyses, spatial statistics, and determining stomatal sensitivity to vapor pressure deficit (D ), I quantified (1) differences among stand age, species, and drainage condition at half-hourly to yearly time scales and the environmental drivers of this variability, (2) stomatal sensitivity to D in reference to hydraulic tradeoffs and it's associated spatial and temporal drivers at each stand, and (3) the extent of spatial autocorrelation of tree transpiration and its drivers. Lastly, I estimated the spatial and temporal variability of evapotranspiration and its components along a soil moisture and stand age gradient by comparing energy balance, sap flow, and chamber-based measurements. Interestingly, temporal drivers of tree transpiration changed dramatically depending on the spatial location of interest and included soil moisture, peat depth, water table depth, and vapor pressure deficit, but drivers of transpiration in space could be simplified into an integrated driver that encompasses all soil drainage affects; tree size.
机译:自然生态系统在时间和空间上都不同,从而在过程及其驱动机制上造成了大小不同的异质性。在一个空间或时间尺度上的同质性假设导致对生物过程及其驱动因素的量化不准确。从地块级到区域级测量时,这可能导致化学通量的高估或低估。更大的挑战是确定化学通量将如何响应全球变化,例如温度升高,生长季节更干燥,野火频率增加以及生长季节更长。为了准确预测生态系统对全球变化的响应,对自然系统的研究必须专注于沿环境梯度发生的过程,以捕获系统的异质性。这项研究通过量化北方黑云杉林沿土壤排水梯度的树木蒸腾的时间和空间异质性来实现这一目标。使用不同的测量和分析协议,例如散热传感器,稳定的同位素分析,空间统计数据,以及确定气孔对蒸气压亏缺(D)的敏感性,我量化了(1)半小时的林分年龄,种类和排水条件之间的差异到每年的时间尺度和这种变化的环境驱动因素,(2)参照水力折衷的气孔对D的敏感性及其在每个林分的相关时空驱动因素,以及(3)树木蒸腾及其驱动因素的空间自相关程度。最后,我通过比较能量平衡,树液流量和基于室内的测量值,估算了沿土壤水分和林分年龄梯度的蒸散量及其组成的时空变化。有趣的是,树木蒸腾的时间驱动力根据所关注的空间位置而发生了巨大变化,包括土壤水分,泥炭深度,地下水位深度和蒸气压亏空,但是可以将空间蒸腾驱动力简化为一个涵盖所有土壤的综合驱动力。排水影响;树的大小。

著录项

  • 作者

    Angstmann, Julia L.;

  • 作者单位

    University of Wyoming.;

  • 授予单位 University of Wyoming.;
  • 学科 Biology Botany.;Biology Plant Physiology.;Biology Ecology.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 266 p.
  • 总页数 266
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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