农田土壤有效态微量元素空间预测方法及影响因子定量分析
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摘要
为深入研究土壤有效态微量元素的影响因素,以重庆市江津区农田土壤为研究对象,利用1 265个样点数据,加入种植制度和母岩类型数据,构建土壤微量元素的虚拟变量回归预测模型,采用随机森林算法,定量分析了分类变量对土壤有效态微量元素影响的相对重要性。结果表明:加入种植制度和母岩的回归模型的拟合度高于普通线性回归模型,对土壤有效铁、锰、铜和锌变异的解释度分别提高了9.20%、38.99%、20.75%和29.96%,并且提高了对土壤有效铁的预测精度,但对提高土壤有效锰、铜和锌的预测精度作用不明显。土壤养分和种植制度是影响土壤有效态微量元素含量的重要因素,种植制度和母岩中,种植花椒、种植水稻和遂宁组发育的土壤对农田有效态微量元素含量的影响相对较大。
To further explore the influential factors of soil available microelements, the farmland soils in in Jiangjin of Chongqing were taken as the study objects, the data of 1 265 sampling sites, together with cropping systems and parent rock types,were used to construct the regression model of soil microelements and random forest model(RF) was used to quantitatively analyze the relative importance of influential factors of soil available microelements. The results showed that the prediction model with the cropping system and the parent rock type was higher than the conventional regression model, the fitting degrees(R~2) of available Fe, Mn, Cu and Zn were increased by 9.20%, 38.99%, 20.75% and 29.96%, respectively, compared with the conventional regression model. The prediction accuracy was improved for soil available Fe, but not for available Mn, Cu and Zn.Soil nutrients and cropping system were relatively important for the contents of available microelements in farmlands, and among of them, the effects of pepper and rice planting as well as soils derived from Suining Formation were relatively important. This study could provide theoretical and scientific bases for reasonable fertilization and management of Jiangjin farmlands.
To further explore the influential factors of soil available microelements, the farmland soils in in Jiangjin of Chongqing were taken as the study objects, the data of 1 265 sampling sites, together with cropping systems and parent rock types,were used to construct the regression model of soil microelements and random forest model(RF) was used to quantitatively analyze the relative importance of influential factors of soil available microelements. The results showed that the prediction model with the cropping system and the parent rock type was higher than the conventional regression model, the fitting degrees(R~2) of available Fe, Mn, Cu and Zn were increased by 9.20%, 38.99%, 20.75% and 29.96%, respectively, compared with the conventional regression model. The prediction accuracy was improved for soil available Fe, but not for available Mn, Cu and Zn.Soil nutrients and cropping system were relatively important for the contents of available microelements in farmlands, and among of them, the effects of pepper and rice planting as well as soils derived from Suining Formation were relatively important. This study could provide theoretical and scientific bases for reasonable fertilization and management of Jiangjin farmlands.
引文
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[19]秦承志,卢岩君,包黎莉,等.简化数字地形分析软件(SimDTA)及其应用--以嫩江流域鹤山农场区的坡位模糊分类为例[J].地球信息科学学报,2009,11(6):737-743
[20]Moore I D,Grayson R B,Ladson A R.Digital terrain modeling:A review of hydrological,geomorphological and biological applications[J].Hydrological Processes,1991,5(1):3-30
[21]梅丽莎A海蒂.虚拟变量回归[M].上海:格致出版社,2012
[22]王苗苗,陈洪松,付同刚,等.典型喀斯特小流域不同植被类型间土壤养分的差异性及其空间预测方法[J].应用生态学报,2016,27(6):1789-1766
[23]Guo P T,Li M F,Luo W,et al.Digital mapping of soil organic matter for rubber plantation at regional scale:An application of random forest plus residuals kriging approach[J].Geoderma,2015,237/238:49-59
[24]Mora-Vallejo A,Claessens L,Stoorvogel J,et al.Small scale digital soil mapping in Southeastern Kenya[J].CATENA,2008,76(1):0-53
[25]郭乃嘉,史学正,赵永存,等.人为与环境因子对农田土壤有机质影响的比较研究--以典型黑土区和水稻土区为例[J].土壤学报,2016,53(5):1097-1106
[26]郭荣发,杨杰文.成土母质和种植制度对土壤pH和交换性铝的影响[J].生态学报,2004,24(5):984-990
[27]张俊华,李国栋,南忠仁,等.耕作历史和种植制度对绿洲农田土壤有机碳及其组分的影响[J].自然资源学报,2012,27(2):196-203
[28]王昌全,李冰,龚斌,等.西昌市土壤Fe、Mn、Cu、Zn有效性评价及其影响因素分析[J].土壤通报,2010,41(2):447-451
[29]Tao S,Cao J,Li B G,et al.Distribution pattern of trace elements in soil from Shenzhen area[J].Acta Pedologica Sinica,2001,38(2):248-255
[30]徐尚平,陶澍,徐福留,等.内蒙土壤微量元素含量的空间结构特征[J].地理学报,2000,55(3):337-345
[31]姜坤,秦海龙,卢瑛,等.广东省不同母质发育土壤颗粒分布的分形维数特征[J].水土保持学报,2016,30(6):319-324
[32]Mehdi N,Seied M H,Hossein A B,et al.Using fuzzy clustering algorithms to describe the distribution of trace elements in arable calcareous soils in northwest Iran[J].Archives of Agronomy&Soil Science,2013,59(3):435-448
[33]章程,谢运球,吕勇,等.广西弄拉峰丛山区土壤有机质与微量营养元素有效态[J].中国岩溶,2006,25(1):63-66
[34]廖琴,南忠仁,王胜利,等.干旱区绿洲农田土壤微量元素有效态含量空间分布特征[J].环境科学研究,2011,24(3):990-993
[35]张文娟,廖洪凯,龙健,等.种植花椒对喀斯特石漠化地区土壤有机碳矿化及活性有机碳的影响[J].环境科学,2015(3):1053-1059
[36]包丽君,贾仲君.模拟干湿交替对水稻土古菌群落结构的影响[J].土壤学报,2017,54(1):191-203
[2]于君宝,王金达,刘景双,等.典型黑土pH值变化对微量元素有效态含量的影响研究[J].水土保持学报,2002,16(2):93-95
[3]邓小,张瑶,田峰,等.湘西州植烟土壤pH和中微量元素分布及其相关关系[J].烟草科技,2017,50(5):24-30
[4]李海峰,曾凡江,桂东伟,等.不同利用强度下绿洲农田土壤微量元素有效含量特征[J].生态学报,2012,32(6):1803-1810
[5]Mitsimponas T.Nutrients and trace elements of arable soils rich in organic matter[J].Communications in Soil Science&Plant Analysis,2005,36(4/5/6):403-414
[6]Gangloff S,Stille P,Pierret M C,et al.Characterization and evolution of dissolved organic matter in acidic forest soil and its impact on the mobility of major and trace elements(case of the Strengbach watershed)[J].Geochimica Et Cosmochimica Acta,2014,130(4):21-41
[7]宋丰骥,常庆瑞,钟德燕,等.黄土丘陵沟壑区土壤微量元素空间变异特征及其影响因素[J].干旱地区农业研究,2012,30(1):36-42
[8]刘永红,倪中应,谢国雄,等.浙西北丘陵区农田土壤微量元素空间变异特征及影响因子[J].植物营养与肥料学报,2016,22(6):1710-1718
[9]张彬,杨联安,杨粉莉,等.苹果主产区土壤养分空间分布特征及其影响因素--以陕西省礼泉县为例[J].土壤,2016,48(4):777-784
[10]Hengl T,Heuvelink G B M,Stein A.A generic framework for spatial prediction of soil variables based on regression-kriging[J].Geoderma,2004,120(2):75-93
[11]Kim D,Zheng Y B.Scale-dependent predictability of DEM-based landform attributes for soil spatial variability in a coastal dune system[J].Geoderma,2011,164(4):181-194
[12]张国平,郭澎涛,王正银,等.紫色土丘陵地区农田土壤养分空间分布预测[J].农业工程学报,2013,29(6):113-120
[13]Mouazen A M,Kuang B,Baerdemaeker J D,et al.Comparison among principal component,partial least squares and back propagation neural network analyses for accuracy of measurement of selected soil properties with visible and near infrared spectroscopy[J].Geoderma,2010,158(1):23-31
[14]纪文君,李曦,李成学,等.基于全谱数据挖掘技术的土壤有机质高光谱预测建模研究[J].光谱学与光谱分析,2012,32(9):2393-2398
[15]李珊,李启权,张浩,等.泸州植烟土壤有效态微量元素含量空间变异及其影响因素[J].土壤,2016,48(6):1215-1222
[16]Were K,Bui D T,Dick?B,et al.A comparative assessment of support vector regression,artificial neural networks,and random forests for predicting and mapping soil organic carbon stocks across an afromontane landscape[J].Ecological Indicators,2015,52:394-403
[17]Wiesmeier M,Barthold F,Sp?rlein P,et al.Estimation of total organic carbon storage and its driving factors in soils of Bavaria(southeast Germany)[J].Geoderma Regional,2014,1:67-78
[18]郭澎涛,李茂芬,罗微,等.基于多源环境变量和随机森林的橡胶园土壤全氮含量预测[J].农业工程学报,2015,31(5):194-202
[19]秦承志,卢岩君,包黎莉,等.简化数字地形分析软件(SimDTA)及其应用--以嫩江流域鹤山农场区的坡位模糊分类为例[J].地球信息科学学报,2009,11(6):737-743
[20]Moore I D,Grayson R B,Ladson A R.Digital terrain modeling:A review of hydrological,geomorphological and biological applications[J].Hydrological Processes,1991,5(1):3-30
[21]梅丽莎A海蒂.虚拟变量回归[M].上海:格致出版社,2012
[22]王苗苗,陈洪松,付同刚,等.典型喀斯特小流域不同植被类型间土壤养分的差异性及其空间预测方法[J].应用生态学报,2016,27(6):1789-1766
[23]Guo P T,Li M F,Luo W,et al.Digital mapping of soil organic matter for rubber plantation at regional scale:An application of random forest plus residuals kriging approach[J].Geoderma,2015,237/238:49-59
[24]Mora-Vallejo A,Claessens L,Stoorvogel J,et al.Small scale digital soil mapping in Southeastern Kenya[J].CATENA,2008,76(1):0-53
[25]郭乃嘉,史学正,赵永存,等.人为与环境因子对农田土壤有机质影响的比较研究--以典型黑土区和水稻土区为例[J].土壤学报,2016,53(5):1097-1106
[26]郭荣发,杨杰文.成土母质和种植制度对土壤pH和交换性铝的影响[J].生态学报,2004,24(5):984-990
[27]张俊华,李国栋,南忠仁,等.耕作历史和种植制度对绿洲农田土壤有机碳及其组分的影响[J].自然资源学报,2012,27(2):196-203
[28]王昌全,李冰,龚斌,等.西昌市土壤Fe、Mn、Cu、Zn有效性评价及其影响因素分析[J].土壤通报,2010,41(2):447-451
[29]Tao S,Cao J,Li B G,et al.Distribution pattern of trace elements in soil from Shenzhen area[J].Acta Pedologica Sinica,2001,38(2):248-255
[30]徐尚平,陶澍,徐福留,等.内蒙土壤微量元素含量的空间结构特征[J].地理学报,2000,55(3):337-345
[31]姜坤,秦海龙,卢瑛,等.广东省不同母质发育土壤颗粒分布的分形维数特征[J].水土保持学报,2016,30(6):319-324
[32]Mehdi N,Seied M H,Hossein A B,et al.Using fuzzy clustering algorithms to describe the distribution of trace elements in arable calcareous soils in northwest Iran[J].Archives of Agronomy&Soil Science,2013,59(3):435-448
[33]章程,谢运球,吕勇,等.广西弄拉峰丛山区土壤有机质与微量营养元素有效态[J].中国岩溶,2006,25(1):63-66
[34]廖琴,南忠仁,王胜利,等.干旱区绿洲农田土壤微量元素有效态含量空间分布特征[J].环境科学研究,2011,24(3):990-993
[35]张文娟,廖洪凯,龙健,等.种植花椒对喀斯特石漠化地区土壤有机碳矿化及活性有机碳的影响[J].环境科学,2015(3):1053-1059
[36]包丽君,贾仲君.模拟干湿交替对水稻土古菌群落结构的影响[J].土壤学报,2017,54(1):191-203