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A landscape-scale analysis of vegetation recovery at Mount St. Helens.

机译:圣海伦斯山植被恢复的景观尺度分析。

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摘要

I used satellite remote sensing to examine the key factors controlling the natural revegetation of Mount St. Helens since its eruption in 1980. The study required three stages: determining the amount of vegetation present; characterizing vegetation change; and analyzing the influence of factors affecting vegetation change.; To determine the amount of vegetation present, I compared various vegetation indices and multiple regression using raw spectral bands. Reference data were from interpretation of aerial photographs. A model using multiple regression on raw spectral bands provided the best results and explained 75% of the variability in vegetation cover.; To characterize vegetation change during the study period, eight Landsat Thematic Mapper satellite scenes from 1984 to 1995 were geometrically and radiometrically corrected to each other. They were then transformed to estimate green vegetation cover for each scene using the model developed in the first stage. I fit growth curves to each pixel using a combination of a non-hierarchical clustering algorithm and polynomial growth curves. To represent response variables, I extracted four parameters from the growth curves: number of years to reach 10% vegetation cover; maximum rate of increase in vegetation cover; time-integrated vegetation cover; and maximum estimated cover reached.; Regression tree analysis explained 50%, 31%, 57%, and 51% of the variation in these response variables, respectively. Remaining variability was a function of other variables, stochastic factors and image processing. The most important determinant of revegetation was the presence or absence of biotic legacies, as evidenced by volcanic disturbance impacts. This stratified the study area into primary and secondary succession areas. Under secondary succession conditions, gradients of biotic legacies were evident. Factors affecting the establishment and growth of survivors were important, including original tephra thickness and erosional processes, evidenced by the importance of slope gradient. In primary succession areas, erosional processes were important in mitigating site conditions for colonizing seeds. Distance from seed sources was important primarily near forested edges. Additional topographic variables, including elevation, aspect, and slope curvature, had limited importance. I was not able to detect significant effects of streams, roads, or pre-eruption vegetation conditions.
机译:自1980年圣海伦火山喷发以来,我使用卫星遥感技术研究了控制其自然植被的关键因素。这项研究需要三个阶段:确定所存在的植被数量;确定植被的数量。表征植被变化;并分析了影响植被变化的因素的影响。为了确定当前的植被数量,我比较了各种植被指数和使用原始光谱带的多元回归。参考数据来自航空照片的解释。使用原始光谱带进行多元回归的模型提供了最佳结果,并解释了植被覆盖率的75%的变化。为了表征研究期间的植被变化,对1984年至1995年的8个Landsat Thematic Mapper卫星场景进行了几何和放射学校正。然后将其转换为使用第一阶段开发的模型估算每个场景的绿色植被覆盖率。我使用非分层聚类算法和多项式增长曲线的组合将增长曲线拟合到每个像素。为了表示响应变量,我从生长曲线中提取了四个参数:达到10%植被覆盖的年数;植被覆盖率的最大提高;时间整合植被并且达到了最大估计覆盖率。回归树分析分别解释了这些响应变量变化的50%,31%,57%和51%。剩余的可变性是其他变量,随机因素和图像处理的函数。重新形成植被的最重要决定因素是生物遗产的存在与否,如火山干扰影响所证明的那样。这将研究区域分为主要和次要继承区域。在次级演替条件下,生物遗产的梯度很明显。影响幸存者的建立和成长的因素很重要,包括原始的特非拉厚度和侵蚀过程,坡度梯度的重要性证明了这一点。在主要演替区,侵蚀过程对于减轻定植种子的场地条件很重要。与种子源的距离主要在森林边缘附近很重要。其他地形变量,包括高程,坡向和坡度曲率,重要性有限。我无法检测到溪流,道路或喷发前的植被状况的重大影响。

著录项

  • 作者

    Lawrence, Rick Leslie.;

  • 作者单位

    Oregon State University.;

  • 授予单位 Oregon State University.;
  • 学科 Agriculture Forestry and Wildlife.; Remote Sensing.
  • 学位 Ph.D.
  • 年度 1998
  • 页码 p.477
  • 总页数 157
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 森林生物学;
  • 关键词

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