Center for Ecohydraulics Research, University of Idaho, 322 E. Front Street, Boise, ID 83702, USA.
J Environ Manage. 2011 Dec;92(12):3058-70. doi: 10.1016/j.jenvman.2011.07.017. Epub 2011 Aug 17.
The Kootenai River floodplain in Idaho, USA, is nearly disconnected from its main channel due to levee construction and the operation of Libby Dam since 1972. The decreases in flood frequency and magnitude combined with the river modification have changed the physical processes and the dynamics of floodplain vegetation. This research describes the concept, methodologies and simulated results of the rule-based dynamic floodplain vegetation model "CASiMiR-vegetation" that is used to simulate the effect of hydrological alteration on vegetation dynamics. The vegetation dynamics are simulated based on existing theory but adapted to observed field data on the Kootenai River. The model simulates the changing vegetation patterns on an annual basis from an initial condition based on spatially distributed physical parameters such as shear stress, flood duration and height-over-base flow level. The model was calibrated and the robustness of the model was analyzed. The hydrodynamic (HD) models were used to simulate relevant physical processes representing historic, pre-dam, and post-dam conditions from different representative hydrographs. The general concept of the vegetation model is that a vegetation community will be recycled if the magnitude of a relevant physical parameter is greater than the threshold value for specific vegetation; otherwise, succession will take place toward maturation stage. The overall accuracy and agreement Kappa between simulated and field observed maps were low considering individual vegetation types in both calibration and validation areas. Overall accuracy (42% and 58%) and agreement between maps (0.18 and 0.27) increased notably when individual vegetation types were merged into vegetation phases in both calibration and validation areas, respectively. The area balance approach was used to analyze the proportion of area occupied by different vegetation phases in the simulated and observed map. The result showed the impact of the river modification and hydrological alteration on the floodplain vegetation. The spatially distributed vegetation model developed in this study is a step forward in modeling riparian vegetation succession and can be used for operational loss assessment, and river and floodplain restoration projects.
美国爱达荷州的库特奈河漫滩由于 1972 年以来的堤坝建设和利比大坝的运行,几乎与主河道隔绝。洪水频率和规模的减少以及河流的改造改变了漫滩植被的物理过程和动态。本研究描述了基于规则的动态漫滩植被模型“CASiMiR-vegetation”的概念、方法和模拟结果,该模型用于模拟水文变化对植被动态的影响。植被动态是基于现有理论进行模拟的,但适应了库特奈河实地观测数据。该模型基于空间分布的物理参数(如剪切应力、洪水持续时间和高出基流水位的高度)的初始条件,模拟每年变化的植被模式。该模型进行了校准,并分析了模型的稳健性。水动力(HD)模型用于模拟代表历史、大坝前和大坝后的不同代表性洪水过程的相关物理过程。植被模型的总体概念是,如果相关物理参数的大小大于特定植被的阈值,则植被群落将被循环利用;否则,将朝着成熟阶段进行演替。在考虑校准和验证区域内的各个植被类型时,模拟和实地观测图之间的整体准确性和一致性 Kappa 较低。当将个别植被类型分别合并到校准和验证区域的植被阶段中时,整体准确性(42%和 58%)和地图之间的一致性(0.18 和 0.27)显著增加。该研究采用面积平衡方法分析了模拟和观测图中不同植被阶段所占面积的比例。结果表明,河流改造和水文变化对漫滩植被的影响。本研究中开发的空间分布植被模型是在模拟河岸植被演替方面迈出的一步,可用于运营损失评估以及河流和漫滩恢复项目。