区域尺度生物结皮下伏土壤养分的空间分布特征——以毛乌素沙地为例
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S153.6

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国家自然科学基金项目(41971131)、国家重点研发计划项目(2017YFC0504703)资助


The Spatial Distribution Characteristics of Soil Nutrients Underlying Biological Crusts at Regional Scale: A Case Study of Mu Us Sandy Land<
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National Natural Science Foundation of China General Project (41971131); National Key R&D Program Project

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    摘要:

    作为旱区广泛分布的活性地被物,生物结皮对荒漠生态系统的养分循环具有重要影响,目前有关区域尺度生物结皮养分效应的认识还非常有限。选取覆盖毛乌素沙地全域的146个样点,以地统计学结合多元统计分析方法,深入探讨了区域尺度上旱区荒漠生物结皮下伏土壤有机碳(SOC)、全氮(TN)、全磷(TP)的空间异质性、分布格局及其影响因素。结果表明:生物结皮提升了荒漠土壤养分含量,3种养分含量的变异系数(CV)中等,变异性大小顺序为CVTP(60.5%)>CVSOC(37.9%)>CVTN(30.8%);不同养分的空间变异特征不同,TP最佳拟合模型为线性模型,空间自相关性强烈,SOC、TN为指数模型,空间自相关性中等;受到植被状况、地表水热平衡状况等因素的直接或间接影响,在区域尺度上生物结皮下伏土壤养分含量在研究区东部较高,西南部较低;TP含量自东向西递减,SOC、TN含量自东向西呈现高-低-高-低的带状分布特点,二者具有极显著正相关关系(r=0.818,P<0.01)。

    Abstract:

    【Objective】As an active ground cover widely distributed in arid areas, biological crusts have an important impact on the nutrient cycle of desert ecosystems. At present, research on the nutrient effects of biological crusts is mostly concentrated on the plot scale. This study explores the spatial characteristics of biological crust nutrients at the regional scale. We aim to provide a reference for research methods on the nutrient characteristics of biological crusts at the regional scale and also provide a scientific evaluation for the ecological value of biological crust in a desert ecosystem. 【Method】The ecological restoration project carried out since 1959 has enabled the vegetation coverage in Mu Us to reach 40-50%, and biological crusts are widely distributed in this area as a sign of sandy land fixation. This study selected 146 sample points that cover the entire Mu Us Sandy land, and used geostatistics combined with multivariate statistical analysis to explore the spatial heterogeneity, distribution pattern and influencing factors of the soil organic carbon (SOC), total nitrogen (TN), and total phosphorus (TP). 【Result】Biological crusts increased the nutrient content of the desert soil. The autocorrelation range of SOC and TP was relatively large, with variable ranges of 171.83 km and 147.78 km respectively, while the autocorrelation range of TN was relatively small. The nugget coefficients of SOC, TN, and TP were 53.3%, 49.86%, and 20.2%, respectively. SOC and TN exhibited moderately strong spatial autocorrelation, while TP exhibited strong spatial autocorrelation. The content of TP decreased from east to west, whereas the content of SOC and TN presented a high-low-high-low band distribution from east to west. Importantly, the main control variation factors of the three soil nutrients were different. The stepwise regression model of SOC introduced three variables, soil moisture (sm), surface downward shortwave radiation (srad), and normalized vegetation index (NDVI), while the stepwise regression model of TN introduced two variables, average temperature (Tas) and normalized vegetation index (NDVI). Additionally, wind speed (ws) and soil moisture (sm) were introduced into the stepwise regression model of TP as the first and second factors, respectively. 【Conclusion】Biological crusts in the Mu Us sandy land increased the nutrient content of desert soils. Three kinds of nutrient elements (TN, TP and SOC) showed spatial correlation and were directly or indirectly affected by vegetation conditions, surface water and heat balance, and other factors. On a regional scale, the nutrient content of soils under this biological crust was higher in the eastern part of the study area and lower in the southwest.

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郭琦,卜崇峰,李宜坪,鞠孟辰,李亚红,韦应欣.区域尺度生物结皮下伏土壤养分的空间分布特征——以毛乌素沙地为例[J].土壤学报,2022,59(3):699-708. DOI:10.11766/trxb202007230412 GUO Qi, BU Chongfeng, LI Yiping, JU Mengcheng, LI Yahong, WEI Yingxin. The Spatial Distribution Characteristics of Soil Nutrients Underlying Biological Crusts at Regional Scale: A Case Study of Mu Us Sandy Land<[J]. Acta Pedologica Sinica,2022,59(3):699-708.

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  • 收稿日期:2020-07-23
  • 最后修改日期:2021-02-20
  • 录用日期:2021-03-22
  • 在线发布日期: 2021-04-07
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