Abstract From November 2016 to April 2017, the decomposition of Carex. cinerascens Kükenth litter along the natural gradients of groundwater level at Poyang Lake wetland beach were simulated using litterbag technique. The depth of the underground water table of the G-L was −25 to −50 cm, while those of G-ML, G-MH and G-H ranged from −15 to −25 cm, −5 to −15 cm, and −5 to 5, respectively. Additionally, the dry weight loss rate increased gradually with increasing days, with that of G-H being highest, followed by G-MH, G-ML and G-L. The decomposition rate of the four gradients increased rapidly to day 30, then decreased slowly until stabilizing. Additionally, the decomposition rate was highest in G-H, followed by G-MH, G-ML and G-L. The Olson negative exponential model could simulate the decomposition good and predicted the time required for 50% decomposition of the G-H, G-MH, G-ML and G-L gradients was about 166, 197, 205 and 247 days, respectively, while required for 95% was about 1.97, 2.23, 2.43 and 2.92 years, respectively. The overall trend in the relative return index of carbon, nitrogen and phosphorus increased with increasing decomposition days, and the order was G-H > G-MH > G-ML > G-L. Differences in soil pH, bulk density, soil total nitrogen, soil organic matter, microbial biomass carbon and soil sand content in the decomposed environment due to groundwater had a significant impact on decomposition and nutrient release. The relative return index of carbon was significantly positively correlated with soil pH, but significantly negatively correlated with soil bulk density, soil nitrogen content, microbial biomass nitrogen and soil organic matter. The above results show that groundwater is the key factor influencing litter decomposition in Poyang Lake wetland during the dry season, with higher groundwater levels promoting the decomposition.

中文翻译：

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地下水位对苔草分解过程中碳、氮、磷释放的影响[J]. cinerascens Kükenth 在旱季典型的季节性洪泛区

摘要 2016年11月至2017年4月，Carex的分解。使用垃圾袋技术模拟鄱阳湖湿地海滩沿地下水位自然梯度分布的 cinerascens Kükenth 垃圾。GL地下水位深度为-25～-50 cm，G-ML、G-MH和GH地下水位深度为-15～-25 cm、-5～-15 cm、-5～ 5、分别。此外，干重损失率随着天数的增加而逐渐增加，其中GH最高，其次是G-MH、G-ML和GL。四个梯度的分解速率在第 30 天迅速增加，然后缓慢下降直至稳定。此外，GH 的分解率最高，其次是 G-MH、G-ML 和 GL。Olson 负指数模型可以模拟分解良好，预测 GH、G-MH、G-ML 和 GL 梯度分解 50% 所需的时间分别约为 166、197、205 和 247 天，而需要 95 % 分别约为 1.97、2.23、2.43 和 2.92 年。碳、氮、磷相对回报指数总体趋势随着分解天数的增加而增加，顺序为GH>G-MH>G-ML>GL。地下水分解环境中土壤pH值、容重、土壤总氮、土壤有机质、微生物生物量碳和土壤砂含量的差异对分解和养分释放有显着影响。碳的相对回报指数与土壤pH值呈显着正相关，但与土壤容重、土壤氮含量、微生物生物量氮和土壤有机质呈显着负相关。上述结果表明，地下水是影响鄱阳湖湿地枯水期凋落物分解的关键因素，较高的地下水位促进了分解。