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Assessing post-fire reseeding potential using Bureau of Land Management criteria in northeastern Nevada: A spatial modeling approach.

机译：使用内华达州东北部土地管理局的标准评估火灾后的播种潜力：一种空间建模方法。

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摘要

The intermountain region of the western United States is undergoing ecological change in part due to exotic annual grasses such as cheatgrass (Bromus tectorum). The introduction and spread of cheatgrass effectively decreases native plant communities, increases wildfire intensity and spatial extent, and indirectly affects watersheds, water quality, and livestock grazing. The Bureau of Land Management (BLM) currently engages in Emergency Stabilization and Rehabilitation (ES&R) programs in an attempt to provide short-term, high-intensity seeding treatments aimed at mitigating the adverse effects of wildfire on public lands. This study developed and tested a GIS weights-of-evidence model using BLM criteria for successful ES&R treatments within the Elko BLM district of northeastern Nevada. Regional factors were used to evaluate successful ES&R treatments for the period of 2000-2003. Model variables included elevation, slope, aspect, land cover, bioavailable calcium carbonate, soil pH, soil organic content and soil texture. The final output was a model that indicated the probability of future ES&R treatment success based upon past ES&R treatment successes and their correlation with model variables. Results indicated strong correlations with several model variables including slope, bioavailable calcium carbonate, and elevation. The model was a good predictor of successful ES&R treatments with a Prediction Rate Curve (PRC) of 86% area under the curve, as well as a good discriminator between ES&R successes and failures with a Receiver-Operating-Characteristic Curve (ROC) of 77.3% area under the curve. This model can be used as an effective tool by land managers in planning future ES&R treatments within the Elko BLM district, and the weights-of-evidence modeling approach has applicability elsewhere in the state. The success of this model at predicting successful and discriminating between successful and unsuccessful treatments suggest that coarse scale models using regional based terrain and soil characteristics can be used by land managers for decision making in the absence of fine scale processes based models.
机译：美国西部的山间地区正在发生生态变化，部分原因是由于一年生奇异的草，如白茅草（Bromus tectorum）。白茅草的引入和传播有效地减少了原生植物群落，增加了野火强度和空间范围，并间接影响了流域，水质和牲畜放牧。土地管理局（BLM）目前正在参与紧急稳定与修复（ES＆R）计划，以期提供短期，高强度的播种处理，以减轻野火对公共土地的不利影响。这项研究使用BLM标准开发和测试了GIS证据权重模型，以在内华达州东北部的Elko BLM地区成功进行ES＆R治疗。区域因素用于评估2000-2003年期间成功的ES＆R治疗。模型变量包括海拔，坡度，坡向，土地覆盖，可利用的碳酸钙，土壤pH值，土壤有机物含量和土壤质地。最终输出是一个模型，该模型根据过去的ES＆R治疗成功及其与模型变量的相关性，表明将来ES＆R治疗成功的可能性。结果表明与几个模型变量具有很强的相关性，包括坡度，生物有效性碳酸钙和海拔。该模型是ES＆R治疗成功的良好预测指标，其曲线下面积的预测率曲线（PRC）为86％，并且可以很好地区分ES＆R成功与失败，接收器-操作特性曲线（ROC）为77.3曲线下的面积百分比。土地管理人员可以将该模型用作有效的工具，以规划Elko BLM地区未来的ES＆R处理，而证据权重建模方法则可以在该州的其他地方使用。该模型在预测成功与否与成功与否之间的成功预测表明，在没有基于精细过程的模型的情况下，土地经理可以使用基于区域地形和土壤特征的粗略模型进行决策。

著录项

  • 作者

    Weigel, Timothy J.;

  • 作者单位

    University of Nevada, Reno.$bGeography.;

  • 授予单位 University of Nevada, Reno.$bGeography.;
  • 学科 Geography.
  • 学位 M.S.
  • 年度 2007
  • 页码 71 p.
  • 总页数 71
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自然地理学;
  • 关键词

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