Real-time monitoring of deadwood moisture in forests: lessons learned from an intensive case study
Real-time monitoring of deadwood moisture in forests: lessons learned from an intensive case study
复制标题
DOI：
10.1139/cjfr-2020-0110
复制
发表时间：
2020-11-01
影响因子：
2.2
通讯作者：
D'Amato, A. W.
中科院分区：
文献类型：
--
作者：
Woodall, C. W.;Evans, D. M.;D'Amato, A. W.
森林中枯枝的属性，包括数量，景观位置和腐烂状态，影响许多生态系统过程，如野火行为，树木再生和养分循环。枯木的属性，包括水分，在subdailyderday的时间步长不同，还没有定期测量，尽管它们对生态系统过程的深刻影响。为了提高我们对森林枯枝亚昼夜水分动态的理解，我们在美国新英格兰的北方硬木林的原木和周围土壤中安装了密集的时域反射仪（TDR）传感器网络。在部分生长季节的密集监测表明，枯枝水分是动态的，但类似于周围的土壤在15分钟的时间间隔，特别是在湿润和干燥事件。现场结果和实验室分析的样本日志揭示了许多挑战，当试图监测枯枝水分与TDR，如异构和（或）先进的衰变混淆TDR水分测量日志。一个有效的，高频TDR传感器网络被证明记录枯枝和土壤水分波动，这提供了一个机会，以完善我们的理解枯枝动态的背景下，全球变化，如不断变化的降水制度。
Attributes of deadwood in forests, including quantity, landscape position, and state of decay, influence numerous ecosystem processes such as wildfire behavior, tree regeneration, and nutrient cycling. Attributes of deadwood that vary over subdiurnal time steps, including moisture, have not been routinely measured despite the profound effects they have on ecosystem processes. To improve our understanding of forest deadwood subdiurnal moisture dynamics, we installed an intensive time-domain reflectometry (TDR) sensor network in a log and surrounding soil within a northern hardwood forest in New England, United States. Intensive monitoring during a partial growing season indicated that deadwood moisture was dynamic but similar to that of surrounding soils at 15-min intervals, especially during wetting and drying events. Field results and bench analysis of the sample log revealed numerous challenges when attempting to monitor deadwood moisture with TDR such as heterogeneous and (or) advanced decay confounding TDR moisture measurements in logs. An efficient, high-frequency TDR sensor network was demonstrated to record deadwood and soil moisture fluctuations, which provides an opportunity to refine our understanding of deadwood dynamics in the context of global change such as changing precipitation regimes.