Department of Natural Resources and the Environment, University of Connecticut, Storrs, Connecticut, USA.
Center for Environmental Sciences and Engineering, University of Connecticut, Storrs, Connecticut, USA.
Ecol Appl. 2022 Sep;32(6):e2630. doi: 10.1002/eap.2630. Epub 2022 Jun 16.
Salt marsh vegetation zones shift in response to large-scale environmental changes such as sea-level rise (SLR) and restoration activities, but it is unclear if they are good indicators of soil nitrogen removal. Our goal was to characterize the relationship between denitrification potential and salt marsh vegetation zones in tidally restored and tidally unrestricted coastal marshes, and to use vegetation zones to extrapolate how SLR may influence high marsh denitrification at the landscape scale. We conducted denitrification enzyme activity assays on sediment collected from three vegetation zones expected to shift in distribution due to SLR and tidal flow restoration across 20 salt marshes in Connecticut, USA (n = 60 sampling plots) during the summer of 2017. We found lower denitrification potential in short-form Spartina alterniflora zones (mean, 95% CI: 4, 3-6 mg N h m ) than in S. patens (25, 15-36 mg N h m ) and Phragmites australis (56, 16-96 mg N h m ) zones. Vegetation zone was the single best predictor and explained 52% of the variation in denitrification potential; incorporating restoration status and soil characteristics (soil salinity, moisture, and ammonium) did not improve model fit. Because denitrification potential did not differ between tidally restored and unrestricted marshes, we suggest landscape-scale changes in denitrification after tidal restoration are likely to be associated with shifts in vegetation, rather than differences driven by restoration status. Sea-level-rise-induced hydrologic changes are widely observed to shift high marsh dominated by S. patens to short-form S. alterniflora. To explore the implications of this shift in dominant high marsh vegetation, we paired our measured mean denitrification potential rates with projections of high marsh loss from SLR. We found that, under low and medium SLR scenarios, predicted losses of denitrification potential due to replacement of S. patens by short-form S. alterniflora were substantially larger than losses due to reduced high marsh land area alone. Our results suggest that changes in vegetation zones can serve as landscape-scale predictors of the response of denitrification rates to rapid changes occurring in salt marshes.
盐沼植被带会随着海平面上升(SLR)和恢复活动等大规模环境变化而发生变化,但目前尚不清楚它们是否是土壤脱氮的良好指标。我们的目标是描述潮汐恢复和不受潮汐限制的沿海沼泽中反硝化潜力与盐沼植被带之间的关系,并利用植被带推断 SLR 如何影响景观尺度上的高沼泽反硝化作用。我们在 2017 年夏季,在美国康涅狄格州的 20 个盐沼中,对由于 SLR 和潮汐流恢复而导致分布可能发生变化的三个植被带采集的沉积物进行了反硝化酶活性测定(n = 60 个采样点)。我们发现,短叶互花米草带的反硝化潜力较低(平均值,95%CI:4,3-6mg N h m ),低于北美米草带(25,15-36mg N h m )和芦苇带(56,16-96mg N h m )。植被带是唯一最佳预测因子,解释了反硝化潜力变化的 52%;纳入恢复状态和土壤特征(土壤盐分、水分和铵)并没有改善模型拟合度。由于潮汐恢复和不受潮汐限制的沼泽之间的反硝化潜力没有差异,我们认为潮汐恢复后景观尺度上的反硝化变化可能与植被变化有关,而不是与恢复状态驱动的差异有关。海平面上升引起的水文变化广泛导致以北美米草为主的高沼泽向短叶互花米草转变。为了探讨这种高沼泽优势植被变化的影响,我们将测量得到的平均反硝化潜力速率与由于 SLR 导致的高沼泽损失的预测值进行了配对。我们发现,在低和中等 SLR 情景下,由于短叶互花米草替代北美米草导致的反硝化潜力预测损失,远大于由于高沼泽土地面积减少导致的损失。我们的研究结果表明,植被带的变化可以作为盐沼中反硝化速率对快速变化响应的景观尺度预测因子。