School of Environment, State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing 100875, PR China; Advanced Interdisciplinary Institute of Environment and Ecology, Beijing Normal University, Zhuhai 519087, PR China.
School of Environment, State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing 100875, PR China.
Sci Total Environ. 2022 Sep 15;839:156356. doi: 10.1016/j.scitotenv.2022.156356. Epub 2022 May 29.
The leaf litter decomposition is the important chain for the nutrient cycle in forest ecosystem, but its degradation dynamics and pulse discharge patterns in freeze-thawing watershed needed complete understanding. By integrating field observations and MODIS data, the temporal-spatial distributions of snow coverage and forest leaf litter biomass were analyzed. The critical period for snowmelt runoff under warming temperature and the relatively slow degradation patterns were identified. The on-site observations snowmelt runoff showed discharge concentration and fraction dynamics of typical forest leaf litter nutrients (carbon, nitrogen, and phosphorus) in thawing period. The snowmelt runoff flow and nutrient flux observed the linear regressions with the increased temperature from -8 °C to 6 °C (r2 = 0.443-0.987). The concentration of TOC, TN, and TP reached summit value around 50.0, 6.0, and 0.5 mg L in the snowmelt runoff, respectively. The fraction analysis proved that the much high composition of dissolved organic fraction and the biggest organic phosphorus percentage was 94%. The comparison experiments of forest soil with or without leaf litter cover demonstrated that the leaf litter caused a lower discharge load in the snowmelt flow, and the leaf litter cover can decease the potential transport capability of the snowmelt runoff. Coupled with remote sensing data, the watershed leaf litter nutrient discharge model was developed with snowmelt hydrological process mode. The watershed averaged discharge of TOC, TN, and TP from deciduous broad-leaved forest leaf litter was around 851.99, 75.05, and 9.78 mg·m, respectively. The yearly simulation showed the spatial distribution variance of the nutrient discharge loads were held by different forest types, elevations, and slopes. The critical loss area identification provided new mitigations solution. The findings suggested that seasonal discharge of forest leaf litter nutrient in thawing period acted as a key contributor to watershed water pollution.
凋落物分解是森林生态系统养分循环的重要环节,但在冻融流域,其降解动态和脉冲排放模式仍需要深入了解。本研究通过整合野外观测和 MODIS 数据,分析了雪被和森林凋落物生物量的时空分布。确定了在变暖温度下雪融径流的关键时期和相对较慢的降解模式。现场观测的融雪径流显示了解冻期典型森林凋落物养分(碳、氮和磷)的排放浓度和分数动态。融雪径流流量和养分通量与从-8°C 到 6°C 的温度升高呈线性回归(r2 = 0.443-0.987)。总有机碳(TOC)、总氮(TN)和总磷(TP)的浓度在融雪径流中分别达到 50.0、6.0 和 0.5mg/L 的峰值。分数分析证明,溶解有机分数的高组成和最大有机磷百分比为 94%。有或没有凋落物覆盖的森林土壤的对比实验表明,凋落物会降低融雪径流的排放量,凋落物覆盖可以降低融雪径流的潜在输送能力。结合遥感数据,建立了基于融雪水文过程模式的流域凋落物养分排放模型。落叶阔叶林凋落物的流域平均 TOC、TN 和 TP 排放量分别约为 851.99、75.05 和 9.78mg·m。年模拟表明,养分排放量的空间分布差异由不同的森林类型、海拔和坡度决定。关键损失面积的识别提供了新的缓解解决方案。研究结果表明,解冻期森林凋落物养分的季节性排放是流域水污染的关键贡献因素。