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Optimization of environmental flow to preserve/improve ecological function.

机译：优化环境流量以保持/改善生态功能。

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摘要

Freshwater is vital for all life, and with the growth of the human population, the need for this limited resource has increased. However, human activities have significant impacts on freshwater ecosystems, leading to their degradation. In order to ensure that freshwater resources remain sustainable for future generations, it is critical to understand how to evaluate stream health and mitigate degradation. To address these issues, the following research objectives were developed: 1) assess current methods used to evaluate stream health, in particular macroinvertebrate and fish stream health indices and 2) introduces a new strategy to improve stream health to a desirable condition at the lowest cost by optimizing best management practice (BMP) implementation plan. Analysis of over 85 macroinvertebrate and fish stream health indices indicated that the most commonly used macroinvertebrate and fish indices are: Benthic Index of Biotic Integrity (B-IBI), Ephemeroptera Plechoptera Trichoptera (Index) index, Hilsenhoff Biotic Index (HBI), and Index of Biological Integrity (IBI). These indices are often modified to take into account local ecosystem characteristics. In order to address objective two, several hydrological models including Soil and Water Assessment Tool and Hydrologic Integrity Tool were integrated and the results were used to develop stream health predictor models. All of the models were guided by a genetic algorithm to design the watershed-scale management strategies. The coupled system successfully identified eight BMP implementation plans that were resulted in excellent stream health conditions according to the IBI score.
机译：淡水对整个生命至关重要，而且随着人口的增长，对这种有限资源的需求也在增加。但是，人类活动对淡水生态系统有重大影响，导致其退化。为了确保淡水资源对子孙后代保持可持续发展，了解如何评估河流健康和减轻退化至关重要。为了解决这些问题，制定了以下研究目标：1）评估当前用于评估河流健康的方法，特别是大型无脊椎动物和鱼类河流健康指数； 2）引入新的策略，以最低的成本将河流健康提高到理想状况通过优化最佳管理实践（BMP）实施计划。对超过85种大型无脊椎动物和鱼流健康指数的分析表明，最常用的大型无脊椎动物和鱼类指数为：生物完整性的底栖生物指数（B-IBI），鞘翅目le翅目（Ephemeroptera Plechoptera Trichoptera）指数，Hilsenhoff生物指数（HBI）完整性（IBI）。经常修改这些指数以考虑当地的生态系统特征。为了解决目标二，整合了包括土壤和水评估工具和水文完整性工具在内的几种水文模型，并将结果用于开发河流健康预测器模型。所有模型均以遗传算法为指导来设计分水岭规模管理策略。耦合的系统成功地根据IBI分数确定了八个BMP实施计划，这些计划导致了良好的河流健康状况。

著录项

  • 作者

    Herman, Matthew Ryan.;

  • 作者单位

    Michigan State University.;

  • 授予单位 Michigan State University.;
  • 学科 Environmental Health.;Biology Ecology.;Hydrology.;Water Resource Management.
  • 学位 M.S.
  • 年度 2014
  • 页码 152 p.
  • 总页数 152
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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