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Interactions between vegetation and hydrology: 1) Forest structure and throughfall 2) Spruce expansion following wetland drying.

机译:植被与水文学之间的相互作用:1)森林结构和穿透性2)湿地干燥后的云杉扩张。

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Chapter 1: We developed a non-linear regression model from first principals to predict the percent of precipitation interception from forest canopies using lidar as a measure of forest structure. To find the best parameters for the model, we measured thoroughfall of rain (n = 21), fresh snow (n = 21), and old snow (n = 26) on plots in the boreal forest of the upper Eklutna Valley, Alaska. We calculated a set of twelve lidar metrics for each plot, and found the combined metric of mean height * cover to be the lidar metric most highly correlated to ln(throughfall) for rain (r = -0.81), fresh snow (r = -0.79), and old snow (r = -0.73). Using mean height * cover in the interception model, we predicted mean interception for rainfall (20% +/- 3%), fresh snow (29% +/- 4%), and old snow (20% +/- 3%) across the vegetated portion of the upper Eklutna Valley.;Chapter 2: Climate changes and subsequent landscape-level responses have been documented throughout Alaska. We investigated the expansion of black (Picea mariana) and white spruce (Picea glauca) into open, herbaceous palustrine wetlands on Joint Base Elemendorf-Richardson (JBER) in south-central Alaska. We classified random points in wetlands across JBER using imagery from 1950, 1981, and 2012 to identify the extent and rate of spruce expansion. Additionally, we sampled 75 field plots in wetlands to age spruce trees and survey understory vegetation. We found tree cover in wetlands to have increased substantially from 1950-2012 (44% to 87%) with expansion over time fitting a logistic growth model well. Aged tree cores showed a recruitment pulse beginning the in 1930's and had a cumulative age distribution matching the logistic growth model of tree cover over time. The logistic growth model suggest spruce expansion began slowly in the early 1800's, coincident with the start of the current warming trend in Alaska. Using one representative wetland, we classified points on a 10 m spaced regular grid in 1950, 1981, and 2012 to show spruce expansion moving down the elevational gradient within the wetland -- a pattern observed throughout closed basin wetlands on JBER. Additionally, we found spruce expansion related to understory vegetation and wetland drainage shape (open basin, closed basin, or mixed). Finally, we propose a mechanism for the expansion of spruce into palustrine wetlands based on the timing and extent of vernal pooling.
机译:第1章:我们从第一个原理建立了非线性回归模型,以使用激光雷达作为衡量森林结构的指标来预测森林冠层截留降雨的百分比。为了找到该模型的最佳参数,我们在阿拉斯加Eklutna山谷上游的北方森林地带测量了降雨(n = 21),新鲜雪(n = 21)和旧雪(n = 26)的通透性。我们为每个图计算了一组十二个激光雷达指标,发现平均高度* Cover的组合指标是与降雨(r = -0.81),新鲜雪(r =- 0.79)和老雪(r = -0.73)。使用拦截模型中的平均高度*覆盖率,我们预测降雨(20%+/- 3%),新鲜雪(29%+/- 4%)和旧雪(20%+/- 3%)的平均拦截第2章:阿拉斯加各地都记录了气候变化和随后的景观水平响应。我们调查了阿拉斯加中南部联合基地Elemendorf-Richardson(JBER)上的黑色(Picea mariana)和白色云杉(Picea glauca)向开放的草本palustrine湿地的扩展。我们使用1950年,1981年和2012年的图像对整个JBER湿地中的随机点进行分类,以确定云杉扩张的程度和速率。此外,我们在湿地采样了75个田地,以修剪云杉树木并调查林下植被。我们发现,从1950年至2012年,湿地的树木覆盖率有了大幅增长(从44%增至87%),并且随着时间的推移不断扩大,很好地适应了逻辑增长模型。年老的树芯显示出自1930年代开始的招聘脉动,并且随着年龄的增长,其累积年龄分布与树的逻辑增长模型相符。逻辑增长模型表明,云杉的扩张在1800年代初开始缓慢,与阿拉斯加当前变暖趋势的开始相吻合。我们使用一个有代表性的湿地,在1950年,1981年和2012年在一个10 m间隔的规则网格上对点进行分类,以显示云杉膨胀沿湿地内的海拔梯度下降-在JBER的整个封闭盆地湿地上都观察到这种模式。此外,我们发现云杉膨胀与地下植被和湿地排水形状(开放盆地,封闭盆地或混合)有关。最后,我们根据春季合并的时间和范围,提出了一种将云杉扩展到帕卢斯蒂林湿地的机制。

著录项

  • 作者

    Smeltz, T. Scott.;

  • 作者单位

    Alaska Pacific University.;

  • 授予单位 Alaska Pacific University.;
  • 学科 Environmental Sciences.;Remote Sensing.;Climate Change.
  • 学位 M.S.E.S.
  • 年度 2013
  • 页码 95 p.
  • 总页数 95
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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