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草业学报 ›› 2016, Vol. 25 ›› Issue (7): 13-23.DOI: 10.11686/cyxb2016009

• 研究论文 • 上一篇    下一篇

准噶尔荒漠区域尺度浅层土壤化学计量特征及其空间分布格

陶冶1, 2, 刘耀斌3, 吴甘霖1, 张元明2, *   

  1. 1.安庆师范大学生命科学学院, 皖西南生物多样性研究与生态保护安徽省重点实验室,安徽 安庆 246133;
    2.中国科学院新疆生态与地理研究所,中国科学院干旱区生物地理与生物资源重点实验室,新疆 乌鲁木齐 830011;
    3.固原市工业和信息化局,宁夏 固原 756000
  • 收稿日期:2016-01-06 修回日期:2016-03-15 出版日期:2016-07-20 发布日期:2016-07-20
  • 通讯作者: ymzhang@ms.xjb.ac.cn
  • 作者简介:陶冶(1983-),男,安徽宿州人,讲师,博士。E-mail: xishanyeren@163.com
  • 基金资助:

    国家重点基础研究发展计划项目(2014CB954202),国家自然科学基金项目(41471251)和新疆杰出青年人才项目(2013711013)资助

Regional-scale ecological stoichiometric characteristics and spatial distribution patterns of key elements in surface soils in the Junggar desert, Chin

TAO Ye1, 2, LIU Yao-Bin3, WU Gan-Lin1, ZHANG Yuan-Ming2, *   

  1. 1.College of Life Sciences, The Province Key Laboratory of the Biodiversity Study and Ecology Conservation in Southwest Anhui, Anqing Normal University, Anqing 246133, China;
    2.Key Laboratory of Biogeography and Bioresource in Arid Land, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;
    3.Bureau of Industry and Information Technology of Guyuan, Guyuan 756000, China
  • Received:2016-01-06 Revised:2016-03-15 Online:2016-07-20 Published:2016-07-20

摘要:

干旱荒漠生态系统具有降水稀少、土壤贫瘠、生物多样性低的特点,对荒漠土壤生态化学计量特征的研究有助于深入了解荒漠土壤养分供给能力及其对生物多样性和生态系统稳定性的影响。对准噶尔荒漠79个样点浅层(0~10 cm)土壤及环境因子进行调查取样,分析了土壤有机碳(C)、全氮(N)及全磷(P)化学计量特征、空间分布及其影响因素。结果表明,准噶尔荒漠土壤C、N、P平均含量分别为(5.73±0.49),(0.207±0.009)和(0.347±0.004) g/kg,C:N、C:P、N:P分别为(29.92±2.55),(15.97±1.23)和(0.498±0.024)。土壤P稳定性最高(CV=0.098),而C、C:N和C:P的变异性较强(CV=0.687~0.758)。C、P、C:N及C:P在不同生境(沙漠、戈壁和盐碱荒漠)、不同群落(白梭梭、梭梭及小灌木)间均存在差异。与全国及全球平均水平相比,准噶尔荒漠土壤C、N、P含量、C:P及N:P均较低而C:N较高,养分元素缺乏程度表现为N>C>P。土壤养分元素及其化学计量比之间多具有显著的二次函数关系,且化学计量比主要受C和N的制约。在区域尺度上,各化学计量参数表现出明显的空间异质性,其中C、C:N和C:P分布格局相似,并受年降水量、纬度和经度的影响;N与N:P分布格局相似,受经度、海拔和年均温的影响。

Abstract:

Ecological stoichiometry focuses on the element equilibrium and coupling relations, and it has been widely used in study of plant growth, limiting element determination, and ecosystem stability, among others. Desert ecosystems are an important component of terrestrial ecosystems, and are characterized by low precipitation, poor soil development and low floral and faunal biodiversity. Study of the ecological stoichiometry of desert soils enhances understanding of the nutrient supply capability and its effect on biodiversity and ecosystem stability. In this study, surface soil samples (0-10 cm) and environmental factors (including climate and geographical factors) in 79 sites in the Junggar desert were investigated, and then the stoichiometric characteristics of soil organic carbon (C), total nitrogen (N), total phosphorus (P) contents, their distribution patterns and factors influencing them were systematically studied using one-way ANOVA, a Kriging technique and correlation analysis. Soil C, N and P contents were (5.73±0.49), (0.207±0.009) and (0.347±0.004) g/kg respectively; and the soil C∶N, C∶P, and N∶P ratios were (29.92±2.55), (15.97±1.23) and (0.498±0.024) respectively. Soil P showed the highest stability (CV=0.098), whereas C, C∶N and C∶P exhibited relatively strong variability (CV=0.687-0.758). Soil C, P, C∶N and C∶P varied among different habitats (sandy desert, Gobi desert and saline-alkali desert) and different communities (Haloxylon ammodendron, H. persicum and small shrubs). Compared with national and global averages, the soil C, N and P contents, and C∶P and N∶P ratios in the Junggar desert were lower, but the C∶N was higher. The degree of deficiency of soil nutrient elements ranked in order: N>C>P. The soil nutrients and their stoichiometric ratios typically exhibited quadratic relationships with other nutrients, and the stoichiometric ratios were dominated by C and N. At a regional scale, all stoichiometric traits displayed obvious spatial heterogeneity. Soil C, and C∶N and C∶P ratios showed similar distribution patterns and were influenced by mean annual precipitation, latitude and longitude. Soil N and N∶P ratio displayed similar distribution patterns and were influenced by longitude, elevation and mean annual temperature.