长江流域资源与环境 >> 2023, Vol. 32 >> Issue (12): 2558-2567.doi: 10.11870/cjlyzyyhj202312009

• 自然资源 • 上一篇    下一篇

三峡水库消落带不同水位高程土壤碳氮磷生态化学计量学特征

禹妍彤1,2,鲍玉海1*,吕佼容1,谢航宇1,2,张浩哲1,2,贺秀斌1   

  1. (1 中国科学院、水利部成都山地灾害与环境研究所,山地表生过程与生态调控重点实验室,四川 成都 610299; 2 中国科学院大学,北京 100049)
  • 出版日期:2023-12-20 发布日期:2023-12-25

Ecological Stoichiometric Characteristics of Soil Carbon, Nitrogen and Phosphorus at Different Elevations in Water Level Fluctuation Zone of Three Gorges Reservoir

YU Yan-tong1,2,BAO Yu-hai1,LV Jiao-rong1,XIE Hang-yu1,2,ZHANG Hao-zhe1,2,HE Xiu-bin1   

  1. (1.Key Laboratory of Mountain Surface Processes and Ecological Regulation, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610299, China;2 University of Chinese Academy of Sciences, Beijing 100049, China)
  • Online:2023-12-20 Published:2023-12-25

摘要: 明确周期性淹水-出露条件下消落带土壤碳(C)、氮(N)、磷(P)及其生态化学计量沿水位高程垂直分异特征,有利于该地区的土壤养分评估及管理。通过三峡水库典型土质消落带不同水位高程土壤的采样分析,探讨不同水位高程土壤C、N、P生态化学计量特征及其影响因素。结果表明:(1)消落带土壤有机碳(SOC)、全氮(TN)、全磷(TP)平均值分别为8.70、0.79、0.63 g/kg,均低于未淹水样地。随水位高程增加,土壤SOC、TN含量增加,TP含量减少。(2)土壤C/N、C/P、N/P平均值分别为11.67、15.37、1.47,其中C/N、C/P高于未淹水样地,N/P低于未淹水样地。随着水位高程增加,土壤C/N降低,C/P、N/P增加。土壤C、N、P之间存在较好的耦合关系,N可能是该地区的土壤限制性元素,存在硝酸盐淋溶风险。(3)Pearson相关性分析说明土壤理化性质会显著影响土壤C、N、P含量(P<0.05),进而调控其生态化学计量特征,其中土壤pH、容重、水稳性团聚体组成是主要影响因子,其次是土壤含水率和粒径组成。综上,周期性淹水过程影响消落带土壤C、N、P含量及其生态化学计量特征,今后应根据消落带土壤C、N、P生态化学计量特征的空间异质性,采取具有养分适应性的水土保持林草措施配置。

Abstract: Clarifying the vertical differentiation characteristics of soil carbon (C), nitrogen (N), phosphorus (P) , and their ecological stoichiometry along the water level elevation under the periodic flooding-emergence conditions is beneficial to the soil nutrient management in the water level fluctuation zone(WLFZ). In this study, the typical riparian zone  of the Three Gorges Reservoir was taken as the research area. Soil samples were collected at depths of 0-10, 10-20, and 20-30 cm at water level elevations of 145-155, 155-165, and 165-175 m, with the unflooded grassland at elevation of 180 m as the upper limit. Soil organic carbon (SOC), total nitrogen (TN), total phosphorus (TP), pH, soil bulk density (SBD), soil water content (SWC), soil mechanical composition, and agglomerates were analyzed. The purposes of this study was to explore the ecological stoichiometric characteristics of soil C, N, and P at different water level elevations and soil layers and to identify the influencing factors. The results showed that: (1) Change of water level elevation affected the soil C, N, and P contents. The mean values of SOC, TN, and TP in the WLFZ were 8.70, 0.79, and 0.63 g/kg, respectively, which were lower than those in the unsubmerged area. With the increase of water elevation, the soil SOC and TN contents increased, and TP content decreased, and the nutrient contents of the surface soil were higher than those of other soil layers. (2) The mean values of soil C/N, C/P, and N/P were 11.67, 15.37, and 1.47, respectively, where C/N and C/P were higher than those of the unsubmerged area and N/P was lower than that of the unsubmerged area. As the water level elevation increased, soil C/N decreased and C/P and N/P increased. There existed a good coupling relationship between soil C, N and P. Nitrogen might be the limiting soil element in the WLFZ, and there was a risk of nitrate leaching. (3) Correlation analysis showed that soil physicochemical properties significantly affected the contents of soil C, N and P (P<0.05), thus regulating the ecological stoichiometric characteristics. Of all the influencing factors, soil pH, bulk density (SBD), and water-stable agglomerate composition were the main ones, followed by soil water content (SWC) and particle size distribution. These findings implied that the periodic flooding-emergence process leaded to the reduction of soil C, N, and P contents and further affected their stoichiometric ratios in the WLFZ. Therefore, in the future, the configuration of soil conservation measures and nutrient adaptations should be adopted according to the spatial distribution patterns of soil C, N, and P ecological stoichiometric characteristics at different water level elevations. This study was expected to provide a scientific basis for soil erosion control and vegetation restoration in the WLFZ of the Three Gorges Reservoir.

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] 姚琳, 沈竞, 温新龙, 高超. WRF模式参数化方案对江西山地风电场的风模拟研究[J]. 长江流域资源与环境, 2018, 27(07): 1380 .
[2] 孙惠惠, 章新平, 罗紫东, 尚程鹏, 贺新光, 饶志国.  近53 a来长江流域极端降水指数特征[J]. 长江流域资源与环境, 2018, 27(08): 1879 .
[3] 方琳, 吴凤平, 王新华, 余燕团.  

基于共同前沿SBM模型的农业用水效率测度及改善潜力 [J]. 长江流域资源与环境, 2018, 27(10): 2293 -2304 .

[4] 童小容, 杨庆媛, 毕国华, . 重庆市2000~2015年土地利用变化时空特征分析[J]. 长江流域资源与环境, 2018, 27(11): 2481 -2495 .
[5] 康婷婷, 徐 欢, 张春华, 胡召玲. 区域尺度农田最大光能利用率参数估算及时空变化分析[J]. 长江流域资源与环境, 2018, 27(12): 2766 -2774 .
[6] 吕乐婷, 王晓蕊, 孙才志, 张 杰. 基于SWAT模型的细河流域蓝水绿水资源量时空分布研究[J]. 长江流域资源与环境, 2019, 28(01): 39 -47 .
[7] 李艳, 马百胜, 杨宣. 两类ENSO事件对中国东部地区极端降水的影响[J]. 长江流域资源与环境, 2019, 28(02): 469 -482 .
[8] 李佳佳 贺新光 卢希安. 长江流域月降水的EEMD多时间尺度遥相关分析[J]. 长江流域资源与环境, , (): 0 .
[9] 黄玥, 黄志霖, 肖文发, 曾立雄, 马良. 基于Mann-Kendall法的三峡库区长江干流入出库断面水质变化趋势分析[J]. 长江流域资源与环境, 2019, 28(04): 950 -961 .
[10] 韩 静, 芮 旸, 马 滕, 武 鹏, 晁 静. 国家园林县城省际分布格局演化及影响因素[J]. 长江流域资源与环境, 2019, 28(04): 829 -838 .