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Complementary effects of surface water and groundwater on soil moisture dynamics in a degraded coastal floodplain forest

机译:退化滨海平原森林地表水和地下水对土壤水分动态的互补效应

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Restoration of degraded floodplain forests requires a robust understanding of surface water, groundwater, and vadose zone hydrology. Soil moisture is of particular importance for seed germination and seedling survival, but is difficult to monitor and often overlooked in wetland restoration studies. This research hypothesizes that the complex effects of surface water and shallow groundwater on the soil moisture dynamics of floodplain wetlands are spatially complementary. To test this hypothesis, 31 long-term (4-year) hydrological time series were collected in the floodplain of the Loxahatchee River (Florida, USA), where watershed modifications have led to reduced freshwater flow, altered hydroperiod and salinity, and a degraded ecosystem. Dynamic factor analysis (DFA), a time series dimension reduction technique, was applied to model temporal and spatial variation in 12 soil moisture time series as linear combinations of common trends (representing shared, but unexplained, variability) and explanatory variables (selected from 19 additional candidate hydrological time series). The resulting dynamic factor models yielded good predictions of observed soil moisture series (overall coefficient of efficiency=0.90) by identifying surface water elevation, groundwater elevation, and net recharge (cumulative rainfall-cumulative evapotranspiration) as important explanatory variables. Strong and complementary linear relationships were found between floodplain elevation and surface water effects (slope=0.72, R~2=0.86, p<0.001), and between elevation and groundwater effects (slope=-0.71, R~2=0.71, p=0.001), while the effect of net recharge was homogenous across the experimental transect (slope=0.03, R~2=0.05, p=0.242). This study provides a quantitative insight into the spatial structure of groundwater and surface water effects on soil moisture that will be useful for refining monitoring plans and developing ecosystem restoration and management scenarios in degraded coastal floodplains.
机译:恢复退化的洪泛区森林需要对地表水,地下水和渗流带水文学有深入的了解。土壤水分对于种子发芽和幼苗存活特别重要,但是很难监测,在湿地恢复研究中经常被忽视。这项研究假设,地表水和浅层地下水对洪泛区湿地土壤水分动力学的复杂影响在空间上是互补的。为了检验这一假设,在洛哈哈奇河(美国佛罗里达州)的洪泛区收集了31个长期(4年)水文时间序列,在那里分水岭的变化导致淡水流量减少,水文周期和盐度变化以及退化。生态系统。动态因子分析(DFA)是一种时间序列降维技术,用于模拟12种土壤水分时间序列中的时间和空间变化,以共同趋势(表示共享但无法解释的可变性)和解释变量(从19中选择)的线性组合其他候选水文时间序列)。通过将地表水高程,地下水高程和净补给量(累积降雨-累积蒸散量)确定为重要的解释变量,所得动态因子模型对观测到的土壤水分系列(总效率系数= 0.90)产生了良好的预测。洪泛区高程与地表水效应(坡度= 0.72,R〜2 = 0.86,p <0.001)之间以及高程与地下水影响(坡度= -0.71,R〜2 = 0.71,p =)之间存在强而互补的线性关系。 0.001),而整个实验断面的净补给效果是均匀的(坡度= 0.03,R〜2 = 0.05,p = 0.242)。这项研究提供了对地下水和地表水对土壤水分影响的空间结构的定量见解,这将有助于完善退化沿海沿海平原的监测计划并制定生态系统的恢复和管理方案。

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