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A new data‐driven riparian revegetation design method

机译：一种新的数据驱动的河岸重新设计设计方法

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Hydrologic and physical gradients influence vegetation zonation and can form the basis of riparian revegetation design. We present a new data‐driven method to develop riparian revegetation designs by relating the ground height above river (HAR) or a low streamflow water surface as a groundwater proxy to existing vegetation cover types and applying those relationships to design conditions. Steps in the process are as follows: (1) map existing vegetation within the riparian corridor; (2) construct existing and design topographic and groundwater digital elevation models (DEMs), and then difference those DEMs to create a HAR detrended DEM (HAR dtDEM); (3) define existing vegetation habitat zones using the relationship between existing HAR dtDEM and mapped vegetation cover types; (4) apply habitat zone boundaries to detrended design topography; and (5) develop planting schematics using habitat zones and detrended design topography. We developed a revegetation design for a rehabilitation site on the Trinity River, California, using the HAR dtDEM method. We used a data‐driven method to define five habitat zones in riparian areas: aquatic, emergent margin, mesic, mesic–xeric transition, and xeric zones. Zonal boundaries were identified using four criteria: (1) capillary fringe elevation above the low flow water surface, (2) shifts from herbaceous to woody‐dominated cover types, (3) a difference equal to or >0.5?m between two adjacent ranked cover types, and (4) locations where a linear trendline intersected median HAR values or where a group of regression residuals changed from positive to negative or vice versa. The capillary fringe height was the most effective method when determining vegetation zones near the channel. The shift between herbaceous and woody‐dominated cover types defined the boundary between the emergent margin and mesic zone. Elevation increases >0.5?m between adjacent ranked cover types defined the upper and lower mesic–xeric transition zone boundaries best. Comparing linear residuals was most useful for separating drier cover types occurring on higher ground surfaces. Existing habitat zone boundaries were applied to detrended design topography to direct which selected native plant species could be arranged within habitat zones to improve planting survival and increase ecological function following rehabilitation.
机译：水文和物理梯度会影响植被区划，可以构成河岸再训练设计的基础。我们提出了一种新的数据驱动方法，通过将河（Har）或低流出水表面相关的地面高度与现有植被覆盖类型的地下水代理相关，并将这些关系应用于设计条件的地下水位。该过程中的步骤如下：（1）地图河岸走廊内的现有植被; （2）构建现有和设计地形和地下水数字高度模型（DEMS），然后区分那些DEM以创建HAR DTDEM（HAR DTDEM）; （3）使用现有HAR DTDEM与映射植被覆盖类型之间的关系定义现有植被栖息地区; （4）将栖息地界限施加到削弱设计地形; （5）使用栖息地区域开发种植原理图，并进行了减少的设计地形。我们使用HAR DTDEM方法开发了在Chiania River河上的康复网站的恢复设计。我们使用了数据驱动方法来定义河岸地区的五个栖息地区：水生，紧急裕度，介质，介质，XERICH转换和Xeric区。使用四个标准鉴定了Zonal边界：（1）低流量水表面上方的毛细管条纹升高，（2）从草本到木质主导的覆盖类型，（3）在两个相邻排名之间的差异等于或0.5Ω·m覆盖类型，和（4）线性趋势线相交中位Har值的位置，或者一组回归残差从正向变为负或反之亦然。毛细管条纹高度是在确定沟道附近的植被区域时最有效的方法。草本和木质占主导地覆盖类型之间的偏移定义了紧急裕度和浅滩区之间的边界。相邻排名覆盖类型之间的高度增加> 0.5？m定义了最佳的上下介质 - XERIC过渡区边界。比较线性残差对于在高地面发生的干燥剂覆盖类型中最有用。现有的栖息地界限被应用于削弱设计地形，以指示选定的本土植物物种可以安排在栖息地区内，以改善种植存活率，并在康复后提高生态功能。

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