长江中下游湖泊群落水平下沉水植物碳、氮、磷化学计量特征及其影响因素
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淡水生态与生物技术国家重点实验室项目(2014FBZ02)资助.


Community level stoichiometry characteristics of submerged macrophytes and their influencing factors in the mid-lower Yangtze lakes
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    摘要:

    以长江中下游14个湖泊沉水植物为研究对象,分析群落水平下沉水植物碳(C)、氮(N)、磷(P)的化学计量特征及其影响因素.结果显示,沉水植物群落C含量平均为386.93±25.80 mg/g,范围为315.98~441.97 mg/g,N和P含量的平均值分别为26.10±4.84和2.64±0.99 mg/g,范围分别为13.75~40.89和1.01~5.92 mg/g.与物种水平研究相比,群落水平下沉水植物C、N、P化学计量特征变异系数较小,内稳定性更强.群落C含量与P含量具有显著相关性,而与N含量不相关,这说明C元素与N和P之间的耦合关系并不一致;N:P比与P含量之间具有极显著的负相关关系,但与N含量不相关,说明沉水植物群落P含量的变异对N:P比起主导作用.冗余分析表明,环境因子解释了沉水植物群落化学计量特征总变异的30.2%,在P<0.01水平下对沉水植物群落化学计量特征具有显著影响的环境因子为底泥总磷、底泥N:P比、水深和消光系数.变差分解结果表明,底泥和上覆水分别独自解释了化学计量特征总变异的5.21%和10.19%,其交互作用解释了总变异的5.25%.通过该研究结果推测,在恢复湖泊水生植被的实践过程中,相对于底泥,对上覆水光照条件进行控制可能更加迫切.

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    To research community level stoichiometric characteristics of submerged macrophytes and their influencing factors,14 lakes along the mid-lower reaches of Yangtze River were investigated from June to August in 2014. Results showed that the average total carbon (C) contents of the communities were 386.93±25.80 mg/g and the concentrations of total C ranged from 315.98 to 441.97 mg/g. The average total nitrogen (N) and total phosphorus (P) contents were 26.10±4.84 mg/g and 2.64±0.99 mg/g, respectively, and the concentrations of total N and P ranged from 13.75 to 40.89 mg/g and 1.01 to 5.92 mg/g, respectively.Compared with the researches at species level, variation coefficients of stoichiometric characteristics at community level in our study were much lower, indicating that community level stoichiometric homeostasis was stronger than that of species level. Community C contents were significant correlated with P contents, while had no relationship with N, indicating that coupling relations between element C and nutrient elements were inconsistent. Community N:P were significantly correlated with P contents, while had no relationship with N,indicating that N:P were controlled by P contents rather than by N. Redundancy analysis (RDA)result showed that environmental factors explained 30.2% of total variation of stoichiometric signatures. Sediment P, sediment N:P, water depth and light attenuation coefficient had significant impacts on community stoichiometric signatures. Results of variance partitioning showed that sediment and water column explained 5.21% and 10.19% of total variance, respectively. The interaction effects of sediment and water column explained 5.25% of total variance.Our results suggest that the control of light conditions of water column is more urgent than that of sediment in lake recovery of submerged vegetation.

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苏豪杰,吴耀,夏午来,谢平,曹特.长江中下游湖泊群落水平下沉水植物碳、氮、磷化学计量特征及其影响因素.湖泊科学,2017,29(2):430-438. DOI:10.18307/2017.0219

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  • 收稿日期:2016-05-08
  • 最后修改日期:2016-06-07
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  • 在线发布日期: 2017-02-22
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