云浮市油茶适生地区土壤养分含量变异性分析
|
摘要
在云浮市选取分布于云城区、云安区和郁南县的153个油茶(Camellia oleifera)适生林地样点,研究油茶适生地区土壤养分含量变异性。研究结果显示,云浮市油茶适生区域土壤全氮、全磷和全钾均为中等变异性;全氮养分处于中等偏低的状态,全磷为养分缺乏或极缺状态,全钾养分总体处于中等状态;郁南县土壤全氮、全磷的含量最高,云安区的土壤全钾含量最高,郁南县最低,并且郁南县的土壤全钾养分水平与云城、云安二区差异显著。根据研究结果可知,土壤养分管理要以提高磷素含量为主,并适当施用有机肥,由于云浮市油茶适生区域土壤全氮、全磷和全钾3个养分指标的总体分布为散点状,水平方向差异较大,部分区域间的土壤养分水平差异显著,因此还应考虑各个区域的土壤养分水平的差异性,进行平衡施肥。
153 soil samples distributed in Yuncheng district, Yun'an district and Yunan county which were selected in Yunfu city to study the variability of soil nutrient content in the areas suitable for Camellia oleiferaforest, and to guide the management of fertilization of C. oleifera in forestland. The results showed that soil total N, total phosphorus and total potassium were moderate variability in the suitable areas for C. oleifera. The total nitrogen was in the middle-low state, the total phosphorus was deficient or signiticant deficient, and the total potassium was moderate in nutrition level. The highest content of total nitrogen and total phosphorus were both in Yunan county. However, the highest content of total potassium was in Yun'an district while the lowest was in Yunan county, and the difference of total potassium among Yunan county and Yuncheng-Yun'an district were both signiticant. According to the results of research, soil nutrient management should be based on increasing the content of phosphorus and proper application of organic fertilizers. Because the difference among parts of the research area, the total nutrients, such as total nitrogen, total phosphorus and total potassium levels were significant, so call the balance of fertilization in various regions should also be considered in applying soil nutrient management.
153 soil samples distributed in Yuncheng district, Yun'an district and Yunan county which were selected in Yunfu city to study the variability of soil nutrient content in the areas suitable for Camellia oleiferaforest, and to guide the management of fertilization of C. oleifera in forestland. The results showed that soil total N, total phosphorus and total potassium were moderate variability in the suitable areas for C. oleifera. The total nitrogen was in the middle-low state, the total phosphorus was deficient or signiticant deficient, and the total potassium was moderate in nutrition level. The highest content of total nitrogen and total phosphorus were both in Yunan county. However, the highest content of total potassium was in Yun'an district while the lowest was in Yunan county, and the difference of total potassium among Yunan county and Yuncheng-Yun'an district were both signiticant. According to the results of research, soil nutrient management should be based on increasing the content of phosphorus and proper application of organic fertilizers. Because the difference among parts of the research area, the total nutrients, such as total nitrogen, total phosphorus and total potassium levels were significant, so call the balance of fertilization in various regions should also be considered in applying soil nutrient management.
引文
[1]刘伟,陈世品,陈辉,等.土壤养分与油茶产量与种仁含油率的相关性研究[J].中南林业科技大学学报,2015,35(3):59-63.
[2]丁锐,邓小梅,奚如春,等.广东省油茶林地不同母岩红壤养分限制因子研究[J].经济林研究,2012,30(2):61-67.
[3]李永泉,刘喻娟,李莉玲,等.广宁红山茶果实生长特性及含油率变化的研究[J].广东林业科技,2015,31(5):23-27.
[4]刘喻娟,张应中,丁晓纲,等.广东省油茶低产林原因分析及改造技术措施浅探[J].广东林业科技,2011,27(6):68-73.
[5]郑家,李小川,丁晓纲,等.两种模型对森林土壤中量元素空间分布预测[J].林业与环境科学,2016,32(5):7-13.
[6]陈利娜,李小川,丁晓纲,等.基于地统计学与GIS技术的森林土壤养分空间变异性研究[J].林业与环境科学,2016,32(5):14-21.
[7]中国国家标准化管理委员会.森林土壤全氮的测定:LY/T 1228—1999[S].北京:中国标准出版社,2009.
[8]中国国家标准化管理委员会.森林土壤全磷的测定:LY/T 1232—1999[S].北京:中国标准出版社,2009.
[9]中国国家标准化管理委员会.森林土壤全钾的测定:LY/T 1234—1999[S].北京:中国标准出版社,2009.
[10]齐力,赵彦锋,巫振富,等.几种土壤属性制图方法的稳定性与影响因素分析[J].地球信息科学学报,2012(3):305-312.
[11]谢寄托.莽山常绿阔叶林土壤养分分布规律研究[D].长沙:中南林业科技大学,2014.
[12]张希鸥.基于GIS和地统计学的油茶林土壤养分空间变异研究[D].南昌:江西农业大学,2011.
[13]龚丽娜,胡冬南,张文元.土壤养分状况系统研究法在油茶林地养分管理上的应用[J].经济林研究,2015,33(4):65-69.
[14]付登强,杨伟波,陈良秋,等.海南油茶林土壤养分状况调查[J].热带农业科学,2013,33(7):17-20;29.
[15]胡冬南,刘亮英,张文元,等.江西油茶林地土壤养分限制因子分析[J].经济林研究,2013,31(1):1-6.
[2]丁锐,邓小梅,奚如春,等.广东省油茶林地不同母岩红壤养分限制因子研究[J].经济林研究,2012,30(2):61-67.
[3]李永泉,刘喻娟,李莉玲,等.广宁红山茶果实生长特性及含油率变化的研究[J].广东林业科技,2015,31(5):23-27.
[4]刘喻娟,张应中,丁晓纲,等.广东省油茶低产林原因分析及改造技术措施浅探[J].广东林业科技,2011,27(6):68-73.
[5]郑家,李小川,丁晓纲,等.两种模型对森林土壤中量元素空间分布预测[J].林业与环境科学,2016,32(5):7-13.
[6]陈利娜,李小川,丁晓纲,等.基于地统计学与GIS技术的森林土壤养分空间变异性研究[J].林业与环境科学,2016,32(5):14-21.
[7]中国国家标准化管理委员会.森林土壤全氮的测定:LY/T 1228—1999[S].北京:中国标准出版社,2009.
[8]中国国家标准化管理委员会.森林土壤全磷的测定:LY/T 1232—1999[S].北京:中国标准出版社,2009.
[9]中国国家标准化管理委员会.森林土壤全钾的测定:LY/T 1234—1999[S].北京:中国标准出版社,2009.
[10]齐力,赵彦锋,巫振富,等.几种土壤属性制图方法的稳定性与影响因素分析[J].地球信息科学学报,2012(3):305-312.
[11]谢寄托.莽山常绿阔叶林土壤养分分布规律研究[D].长沙:中南林业科技大学,2014.
[12]张希鸥.基于GIS和地统计学的油茶林土壤养分空间变异研究[D].南昌:江西农业大学,2011.
[13]龚丽娜,胡冬南,张文元.土壤养分状况系统研究法在油茶林地养分管理上的应用[J].经济林研究,2015,33(4):65-69.
[14]付登强,杨伟波,陈良秋,等.海南油茶林土壤养分状况调查[J].热带农业科学,2013,33(7):17-20;29.
[15]胡冬南,刘亮英,张文元,等.江西油茶林地土壤养分限制因子分析[J].经济林研究,2013,31(1):1-6.