1. 江西农业大学江西省鄱阳湖流域农业资源与生态重点实验室,南昌,330045
2. 江西农业大学国土资源与环境学院,南昌,330045
3. 南京农业大学公共管理学院,南京,210095
4. 华中师范大学城市与环境科学学院,武汉,430079
5. 江西农业大学林学院,南昌,330045
[ "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" ]
纸质出版:2018
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张晗, 欧阳真程, 赵小敏, 等. 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.
ZHANG Han, YANG Zhencheng, ZHAO Xiaomin, et al. Spatial Variability of Ecological Stoichiometry of Carbon, Nitrogen, and Phosphorus and Its Influencing Factors in Rapeseed Soil in Jiangxi Province[J]. 2018, 32(6): 269-277.
张晗, 欧阳真程, 赵小敏, 等. 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. DOI: 10.13870/j.cnki.stbcxb.2018.06.039.
ZHANG Han, YANG Zhencheng, ZHAO Xiaomin, et al. Spatial Variability of Ecological Stoichiometry of Carbon, Nitrogen, and Phosphorus and Its Influencing Factors in Rapeseed Soil in Jiangxi Province[J]. 2018, 32(6): 269-277. DOI: 10.13870/j.cnki.stbcxb.2018.06.039.
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。
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.
王绍强,于贵瑞.生态系统碳氮磷元素的生态化学计量学特征[J].生态学报,2008,28(3):3937-3947.
曾冬萍,蒋利玲,曾从盛,等.生态化学计量学特征及其应用研究进展[J].生态学报,2013,33(18):5484-5492.
冯德枫,包维楷.土壤碳氮磷化学计量比时空格局及影响因素研究进展[J].应用与环境生物学报,2017,23(2):400-408.
Redfield A C. The biological control of chemical factors in the environment[J].American Scientist,1958,46(3):205-221.
Cleveland C C, Liptzin D. C:N:P stoichiometry in soil:Is there a "Redfield ratio" for the microbial biomass?[J].Biogeochemistry,2007,85(3):235-252.
张仲胜,吕宪国,薛振山,等.中国湿地土壤碳氮磷生态化学计量学特征研究[J].土壤学报,2016,53(5):1160-1169.
欧阳林梅,曾冬萍,闵庆文,等.鼓山茶园土壤碳氮磷生态化学计量学特征[J].水土保持学报,2014,28(2):297-301.
黄亿,李廷轩,张锡洲,等.基于"3414"试验的川中丘陵区油菜施肥指标体系构建[J].中国农业科学,2013,46(10):2058-2066.
丛日环,张智,郑磊,等.基于GIS的长江中游油菜种植区土壤养分及pH状况[J].土壤学报,2016,53(5):1213-1224.
中华人民共和国国家统计局.中国统计年鉴2015[M].北京:中国统计出版社,2016.
鲁如坤.土壤农业化学分析[M].北京:中国农业科技出版社,1999:106-185.
张素梅,王宗明,张柏,等.利用地形和遥感数据预测土壤养分空间分布[J].农业工程学报,2010,26(5):188-194.
李红林,贡璐,朱美玲,等.塔里木盆地北缘绿洲土壤化学计量特征[J].土壤学报,2015,52(6):1345-1355.
江西省土地利用管理局,江西省土壤普查办公室.江西土壤[M].北京:中国农业科技出版社,1991.
曹祥会,龙怀玉,周脚根,等.中温-暖温带表土碳氮磷生态化学计量特征的空间变异性:以河北省为例[J].生态学报,2017,37(18):6053-6063.
杨文,周脚根,王美慧,等.亚热带丘陵小流域土壤碳氮磷生态计量特征的空间分异性[J].土壤学报,2015,52(6):1336-1344.
He X, Hou E, Liu Y, et al. Altitudinal patterns and controls of plant and soil nutrient concentrations and stoichiometry in subtropical China[J].Scientific Reports,2016,6:e24261.
张晗,欧阳真程,赵小敏,等.江西省不同农田利用方式对土壤碳、氮和碳氮比的影响[J].环境科学学报,2018,38(6):2486-2497.
李丹维,王紫泉,田海霞,等.太白山不同海拔土壤碳、氮、磷含量及生态化学计量特征[J].土壤学报,2017,54(1):160-170.
Reich P B, Oleksyn J. Global patterns of plant leaf N and P in relation to temperature and latitude[J].Proceedings of the National Academy of Sciences of the United States of America,2004,101(30):11001-11006.
张晗,赵小敏,朱美青,等.近30年南方丘陵山区耕地土壤养分时空演变特征:以江西省为例[J].水土保持研究,2018,25(2):58-65.
Hulugalle N R, Strong C, Mcpherson K, et al. Carbon, nitrogen and phosphorus stoichiometric ratios under cotton cropping systems in Australian Vertisols: A meta-analysis of seven experiments[J].Nutrient Cycling in Agroecosystems,2017:1-11.
Liu X, Ma J, Ma Z W, et al. Soil nutrient contents and stoichiometry as affected by land-use in an agro-pastoral region of northwest China[J].Catena,2017,150:146-153.
Li Y, Wu J, Liu S, et al. Is the C∶N∶P stoichiometry in soil and soil microbial biomass related to the landscape and land use in southern subtropical China?[J].Global Biogeochemical Cycles,2012,26(4):1-14.
罗由林,李启权,王昌全,等,近30年川中丘陵区不同土地利用方式土壤碳氮磷生态化学计量特征变化[J].土壤,2016,48(4):726-733.
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