首页> 外文学位 >Historical vegetation reconstruction using spatial modeling on pre-Euro-American data to inform ecosystem restoration in the Driftless Area of the U.S. Midwest.
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Historical vegetation reconstruction using spatial modeling on pre-Euro-American data to inform ecosystem restoration in the Driftless Area of the U.S. Midwest.

机译:使用空间模型对欧美前数据进行历史植被重建,为美国中西部无漂移地区的生态系统恢复提供信息。

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摘要

The potential future outcomes of ecological restoration and management activities can be partially understood by investigating reference conditions and historical processes that contributed to the variability of past ecosystems. Reconstructing pre-Euro-American vegetation from Public Land Survey (PLS) records provides spatially precise and extensive reference information from which such variability estimates can be developed. We thus mapped pre-Euro-American vegetation cover within the Driftless Area of the U.S. Midwest using PLS records. Our mapping employed a four step process. First, trees ambiguously designated by the Public Land surveyors were identified to species using logistic regression models. Next, conditionally specified regression models that used species-level data along with relevant environmental predictor variables were used to predict relative dominance of respective tree species at a finer resolution (0.64 km2) than that provided by the original dataset (2.56 km2). Cluster analysis was then used to classify regression output into vegetation types. Lastly, vegetation types were and mapped using a geographic information system. Outputs from this process revealed that the Driftless Area was historically covered by prairies and oak savannas--dominated by bur (Quercus macrocarpa), white (Q. alba), and black (Q. velutina) oak--interspersed with woodlands and forests, suggesting the absence of oak-hickory ecosystems as typical of the central hardwood region. Prairie made up 42% of the area; savannas 35%; closed forests 14%; and open woodlands 7% of the land cover. Mesic forests in the north and south-east were dominated by sugar maple (Acer saccharum), elm (Ulmus spp.), American basswood (Tillia americana), white oak, and ironwood (Carpinus caroliniana and Ostrya virginiana). Pine (Pinus spp.) was dominant in the north-east and partly in the east. Aspen (Populus spp.) dominated mostly in the northern part, to the west of the mesic and pine forests. The Mississippi and Wisconsin River corridors consisted of mostly prairie and savannas composed of a mixture of tree species including silver maple (A. saccharinum), northern pin oak (Q. ellipsoidalis), willow (Salix spp.), bur oak, birch (Betula spp.), white oak, black oak, and white ash (Fraxinus americana). On the whole, the dominance by prairie or savanna ecosystems, and dominance of oak species, indicates that fire played a key role in mediating historical landscape patterns and ecosystem processes in the Midwest Driftless Area. In addition to aiding in the establishment of restoration and management goals, our maps can be used as baseline data in investigating interactions between vegetation and disturbance regimes, and in quantifying vegetation change over time. Furthermore, our vegetation reconstruction techniques can be replicated in other geographical areas with similar vegetation data.
机译:通过调查有助于过去生态系统变化的参考条件和历史过程,可以部分地了解生态恢复和管理活动的潜在未来结果。从公共土地调查(PLS)记录重建欧美前的植被提供了空间上精确而广泛的参考信息,可以从中得出这种变异性估计值。因此,我们使用PLS记录绘制了美国中西部无漂移地区内的欧美前植被覆盖图。我们的映射采用了四个步骤。首先,使用逻辑回归模型将公共土地测量师明确指定的树木识别为物种。接下来,使用条件指定的回归模型,该模型使用物种级别的数据以及相关的环境预测变量,以比原始数据集(2.56 km2)更好的分辨率(0.64 km2)预测各个树种的相对优势。然后使用聚类分析将回归输出分类为植被类型。最后,使用地理信息系统对植被类型进行了绘图。此过程的输出结果表明,“漂流地区”历来被大草原和橡树大草原所覆盖,其中以伯(Quercus macrocarpa),白(Q. alba)和黑(Q. velutina)橡树为主,并散布着林地和森林,这表明没有像中部硬木地区那样的橡木山核桃生态系统。草原占该地区的42%;稀树草原35%;封闭森林14%;并开辟林地面积的7%。北部和东南部的中型森林主要是枫糖枫(枫树枫),榆木(榆树),美国bass木(美洲T),白橡树和铁木(Carpinus caroliniana和Ostrya virginiana)。松树(Pinus spp。)在东北地区占主导地位,部分在东部地区占主导地位。白杨(Populus spp。)主要在北部,在中性和松树林的西部。密西西比河和威斯康星州河的走廊主要由草原和热带稀树草原组成,其混合物包括银枫树(A. saccharinum),北部针叶栎(Q. ellipsoidalis),柳树(Salix spp。),柏栎,桦木(Betula) spp。),白橡树,黑橡树和白蜡木(美洲水曲柳)。总体而言,草原或热带稀树草原生态系统的主导地位以及橡树种的主导地位表明,火灾在中西部无漂移地区的历史景观格局和生态系统过程的调解中起着关键作用。除了帮助建立恢复和管理目标外,我们的地图还可以用作基线数据,以调查植被与干扰状态之间的相互作用,以及量化植被随时间的变化。此外,我们的植被重建技术可以在具有相似植被数据的其他地理区域中复制。

著录项

  • 作者

    Grubh, Kumudan Robert.;

  • 作者单位

    Iowa State University.;

  • 授予单位 Iowa State University.;
  • 学科 Physical Geography.;Natural Resource Management.
  • 学位 M.S.
  • 年度 2010
  • 页码 79 p.
  • 总页数 79
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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