江西省油菜土壤碳氮磷生态化学计量学空间变异性及影响因素
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张晗(1992-),男,江西永丰人,硕士研究生,主要从事土地(土壤)遥感与信息、生态环境和土壤养分循环等研究。E-mail:zhanghan0307@163.com

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S565.4

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国家自然科学基金项目(41361049);江西省自然科学基金项目(20122BAB204012);土壤与农业可持续发展国家重点实验室(中科院南京土壤研究所)开放课题项目(0812201202)


Spatial Variability of Ecological Stoichiometry of Carbon, Nitrogen, and Phosphorus and Its Influencing Factors in Rapeseed Soil in Jiangxi Province
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    摘要:

    运用经典统计学和地统计学分析方法,探讨了江西省油菜种植区土壤碳氮磷生态化学计量特征的空间变异性及影响因素。结果表明:江西省油菜土壤有机碳(SOC)、全氮(TN)和全磷(TP)平均含量分别为16.99,1.44,0.50 g/kg,土壤C∶N、C∶P和N∶P平均值分别为12.28,38.31和3.27,土壤总体C∶N∶P为33.86∶2.88∶1,整体处于相对较低水平,表现出中等程度的变异性和空间自相关性,其空间变异特征受到结构性因素和随机性因素的共同影响,但受结构性因素影响更大。从空间分布规律看,土壤SOC、TN和TP含量均表现出东北高西南低的空间分布格局。土壤C∶N高值区主要分布在赣北地区,分布面积较小,低值区主要分布在赣西、赣西北、赣西南以及赣东等地区。土壤C∶P与N∶P高值区零星分布在赣西南、赣东北等区域;低值区主要分布在赣西北及赣南地区。回归分析表明,成土母质、土壤类型、地形因子、气候条件、种植制度和氮肥施用量对研究区土壤C∶N、C∶P和N∶P空间变异特征有极显著影响(P<0.01);成土母质对土壤C∶N、C∶P和N∶P空间变异的独立解释能力分别为16.6%,3.7%和7.0%,地形因子的独立解释能力分别为3.5%,2.9%和4.2%,种植制度的独立解释能力分别为9.7%,4.4%和7.6%,氮肥施用量的独立解释能力分别为3.9%,4.4%和7.6%,土壤类型和气候条件独立解释能力最高,分别为16.8%,5.1%,9.0%和13.4%,9.8%,15.2%,是调控江西省油菜土壤C∶N、C∶P和N∶ P空间变异最主要的影响因素。

    Abstract:

    Spatial variability of stoichiometric characteristics of soil carbon, nitrogen and phosphorus and its influence factors were systematically analyzed through classical statistics analysis and geostatistics analysis methods in Rapeseed Planting areas of Jiangxi Province. The results showed that the averaged values of soil organic carbon (SOC), total nitrogen (TN) and total phosphorus(TP) contents were 16.99 g/kg, 1.44 g/kg and 0.50 g/kg respectively, and soil C:N, C:P, and N:P were 12.28, 38.31 and 3.27 respectively. The ecological stoichiometric ratios were 33.86:2.88:1, and the ratios were at a relatively low level, indicating that there existed variation coefficients and spatial variability with a moderate degree, which also suggested the spatial variability of soil C:N, C:P and N:P were determined by the co-effects of structural and random factors in Jiangxi Province, and the structural factors played a more important role. From the characteristics of spatial distribution, SOC, TN, and TP content trend to be high in northeast and low in southwest. The high-value region of soil C:N mainly distributed in the north of Jiangxi Province and the distribution area was small, while the low-value region was mainly distributed in West Jiangxi, Northwest Jiangxi, Southwest Jiangxi and East Jiangxi. Soil C:P and N:P had the same spatial distribution characteristics as well, the high-value region was located on Southwest Jiangxi and Northeastern Jiangxi sporadically; The low-value region was mainly distributed in Northwest Jiangxi and South Jiangxi. Regression analysis showed that soil parent materials, soil types, topography, climate condition and cropping system had very significant impacts on soil C:N, C:P and N:P ratios (P<0.01). The soil parent materials were able to explain 16.6%, 3.7% and 7.0% of soil C:N, C:P and N:P spatial variability, respectively. The topography factors could explain 3.5%, 2.9% and 4.2% of the spatial variability, respectively. The explanatory power of cropping system were 9.7%, 4.4%, and 7.6%. The annual fertilizer Nitrogen application explained 3.9%, 4.4% and 7.6% of soil C:N, C:P and N:P spatial variability, respectively. However, The explanatory power of soil types and climate condition were 16.8%, 5.1%, 9.0% and 13.4%, 9.8%, 15.2%, respectively, which suggested that soil types and climate condition were the dominant factors in controlling the spatial variability of soil C:N, C:P and N:P.

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张晗, 欧阳真程, 赵小敏, 何炬, 匡丽花, 叶英聪.江西省油菜土壤碳氮磷生态化学计量学空间变异性及影响因素[J].水土保持学报,2018,32(6):269~277,301

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  • 收稿日期:2018-05-07
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  • 在线发布日期: 2018-12-21
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