首页> 外文期刊>Water resources research >Ecosystem processes at the watershed scale: Hydrologic vegetation gradient as an indicator for lateral hydrologic connectivity of headwater catchments
【24h】

Ecosystem processes at the watershed scale: Hydrologic vegetation gradient as an indicator for lateral hydrologic connectivity of headwater catchments

机译:流域尺度上的生态系统过程:水文植被梯度作为源头集水区横向水文连通性的指标

获取原文
获取原文并翻译 | 示例
           

摘要

Lateral water flow in catchments can produce important patterns in water and nutrient fluxes and stores and also influences the long-term spatial development of forest ecosystems. Specifically, patterns of vegetation type and density along hydrologic flow paths can represent a signal of the redistribution of water and nitrogen mediated by lateral hydrologic flow. This study explores the use of emergent vegetation patterns to infer ecohydrologic processes and feedbacks in forested headwater catchments. We suggest a hydrologic gradient of vegetation density as an indicator of lateral connectivity within headwater catchments. We define the hydrologic vegetation gradient (HVG) as the increase of normalized difference vegetation index per unit increase of the topographic wetness index. HVG are estimated in different headwater catchments in the Coweeta Hydrologic Laboratory using summer IKONOS imagery. We use recession slope analysis with gauge data and a distributed ecohydrological model to characterize the patterns of seasonal flow regimes within the catchments. Correlations between HVG, catchment runoff, early recession parameters, and model parameters show the interactive role of vegetation and lateral hydrologic connectivity of systems in addition to climatic and geomorphic controls. This suggests that HVG effectively represents the level of partitioning between localized water use and lateral water flow along hydrologic flow paths, especially during the growing season. It also presents the potential to use simple remotely sensed hydrologic vegetation gradients as an indicator of lateral hydrologic connectivity to extrapolate recession behavior and key model parameters of distributed hydrological models for ungauged headwater catchments.
机译:流域的横向水流会产生水和养分通量和存储的重要模式,并影响森林生态系统的长期空间发展。具体来说,沿着水文流动路径的植被类型和密度模式可以代表由横向水文流动介导的水和氮再分布的信号。这项研究探索了利用新出现的植被模式推断森林水源流域的生态水文过程和反馈。我们建议采用植被密度的水文梯度作为上游水源流域内横向连通性的指标。我们将水文植被梯度(HVG)定义为地形湿度指数每增加一单位归一化差异植被指数的增加。使用夏季IKONOS影像在Coweeta水文学实验室的不同上游水域估算HVG。我们使用具有测量数据的衰退坡度分析和分布式生态水文模型来描述流域内季节性水流模式的特征。 HVG,集水径流,早期衰退参数和模型参数之间的相关性表明,除了气候和地貌控制外,植被和系统的横向水文连通性也具有交互作用。这表明HVG有效地代表了局部用水和沿水文流动路径的侧向水流之间的分配水平,尤其是在生长季节。它还显示了使用简单的遥感水文植被梯度作为横向水文连通性指标的潜力,以推断出未发育的源头集水区的衰退行为和分布式水文模型的关键模型参数。

著录项

  • 来源
    《Water resources research》 |2012年第6期|p.W06514.1-W06514.16|共16页
  • 作者单位

    Institute for the Environment, University of North Carolina at Chapel Hill, Campus Box 1105, Chapel Hill, NC 27599-1105, USA;

    Institute for the Environment, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA,Department of Geography, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA;

    Coweeta Hydrologic Laboratory, Forest Service, USDA, Otto, North Carolina, USA;

    Bren School of Environmental Science and Management, University of California at Santa Barbara, Santa Barbara, California, USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号