A study of the relationship between wetland vegetation communities and water regimes using a combined remote sensing and hydraulic modeling approach
A study of the relationship between wetland vegetation communities and water regimes using a combined remote sensing and hydraulic modeling approach
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DOI：
10.2166/nh.2016.216
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发表时间：
2016-12
影响因子：
2.7
通讯作者：
Tan Zhiqiang;Z. Qi;Li Mengfan;Li Yunliang;X. Xiuli;Jiang Jiahu
中科院分区：
文献类型：
--
作者：
Tan Zhiqiang;Z. Qi;Li Mengfan;Li Yunliang;X. Xiuli;Jiang Jiahu
水文条件是湿地生态系统的主要驱动力。随着湿地日益受到气候变化和人类活动的干扰，水分状况对植被分布的影响越来越受到关注。然而，在大的空间尺度上，水资源状况和植被分布之间的联系仍然知之甚少。利用遥感影像对鄱阳湖湿地植被群落进行分类。使用基于物理的水力模型模拟了以淹没持续时间（IDU）、淹没深度（IDE）和淹没频率为特征的水情，然后通过高斯回归模型将其与植被群落联系起来。结果表明，与芦苇群落相比，苔草群落具有更长的IDU和更深的IDE，更有利于水文环境。此外，我们发现，苔草群落可以生存在一个相对更广泛的水文条件比芦苇群落。对于鄱阳湖国家级自然保护区典型亚湿地，只有IDU对植被群落分布的影响显著。这项研究的结果扩展了我们的知识湿地植被水文条件的依赖在更大的空间尺度。研究结果为生态系统管理提供了实用信息。
Hydrologic condition is a major driving force for wetland ecosystems. The influence of water regimes on vegetation distribution is of growing interest as wetlands are increasingly disturbed by climate change and intensive human activities. However, at large spatial scales, the linkage between water regimes and vegetation distribution remains poorly understood. In this study, vegetation communities in Poyang Lake wetland were classified from remote sensing imagery. Water regimes characterized by inundation duration (IDU), inundation depth (IDE), and inundation frequency were simulated using physics-based hydraulic models and were then linked with vegetation communities by a Gaussian regression model. The results showed that the Carex community was found to favor more hydrologic environments with longer IDU and deeper IDE in comparison to the Phragmites community. In addition, we found that the Carex community could survive in a relatively wider variety of hydrological conditions than the Phragmites community. For the typical sub-wetlands of the Poyang Lake National Nature Reserve (PLNNR), only the influence of IDU on the distribution of vegetation communities was significant. Outcomes of this research extend our knowledge of the dependence of wetland vegetation on hydrological conditions at larger spatial scales. The results provide practical information for ecosystem management.