Spatiotemporal Variability of Soil Nitrogen in Relation to Environmental Factors in a Low Hilly Region of Southeastern China

被引:7
作者
He, Shan [1 ]
Zhu, Hailun [1 ]
Shahtahmassebi, Amir Reza [1 ]
Qiu, Lefeng [2 ]
Wu, Chaofan [3 ]
Shen, Zhangquan [1 ]
Wang, Ke [1 ]
机构
[1] Zhejiang Univ, Coll Environm & Nat Resource, Inst Agr Remote Sensing & Informat Technol Applic, Hangzhou 310058, Zhejiang, Peoples R China
[2] Zhejiang Univ Finance & Econ, Inst Land & Urban Rural Dev, Hangzhou 310018, Zhejiang, Peoples R China
[3] Zhejiang Normal Univ, Coll Geog & Environm Sci, Jinhua 321004, Peoples R China
基金
中国国家自然科学基金;
关键词
soil total nitrogen; digital soil mapping; spatiotemporal distribution; mountainous region; ORGANIC-CARBON; REGRESSION; LAND; PHOSPHORUS; NUTRIENTS; CLIMATE; SYSTEM;
D O I
10.3390/ijerph15102113
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Soil total nitrogen (TN) plays a major role in agriculture, geochemical cycles and terrestrial ecosystem functions. Knowledge regarding the TN distribution is crucial for the sustainable use of soil resources. This paper therefore aims to characterize the spatiotemporal distribution of soil TN and improve the current understanding of how various factors influence changes in TN. Natural characteristics and remote sensing (RS) variables were used in conjunction with the random forest (RF) model to map the TN distribution in a low hilly region of southeastern China in 1979, 2004 and 2014. The means and changes of TN in different geographic regions and farmland protection regions were also analyzed. The results showed that: (1) the TN showed an increasing trend in the early periods and exhibited a decreasing trend from 2004 to 2014; (2) the geographic and RS variables played more important roles in predicting TN distribution than did the other variables; and (3) changes in the fertilization and crop planting structure caused by soil testing and formulated fertilization techniques (STFFT-Soil Testing and Formulated Fertilization Techniques) as well as farmland protection policies influenced the spatiotemporal variability of TN. Evidently, more attention should be focused on improving the quality and soil fertility in the surrounding low mountainous areas.
引用
收藏
页数:19
相关论文
共 46 条
[1]   SmcHD1, containing a structural-maintenance-of-chromosomes hinge domain, has a critical role in X inactivation [J].
Blewitt, Marnie E. ;
Gendrel, Anne-Valerie ;
Pang, Zhenyi ;
Sparrow, Duncan B. ;
Whitelaw, Nadia ;
Craig, Jeffrey M. ;
Apedaile, Anwyn ;
Hilton, Douglas J. ;
Dunwoodie, Sally L. ;
Brockdorff, Neil ;
Kay, Graham F. ;
Whitelaw, Emma .
NATURE GENETICS, 2008, 40 (05) :663-669
[2]  
Bohner J., 2002, Soil Classification 2001. - European Soil Bureau - Research Report No. 7, P213
[3]   Random forests [J].
Breiman, L .
MACHINE LEARNING, 2001, 45 (01) :5-32
[4]   Carbon and nitrogen pools of southern high plains cropland and grassland soils [J].
Bronson, KF ;
Zobeck, TM ;
Chua, TT ;
Acosta-Martinez, V ;
van Pelt, RS ;
Booker, JD .
SOIL SCIENCE SOCIETY OF AMERICA JOURNAL, 2004, 68 (05) :1695-1704
[5]  
Chen Tian-en, 2008, Application Research of Computers, V25, P2748
[6]   System for Automated Geoscientific Analyses (SAGA) v. 2.1.4 [J].
Conrad, O. ;
Bechtel, B. ;
Bock, M. ;
Dietrich, H. ;
Fischer, E. ;
Gerlitz, L. ;
Wehberg, J. ;
Wichmann, V. ;
Boehner, J. .
GEOSCIENTIFIC MODEL DEVELOPMENT, 2015, 8 (07) :1991-2007
[7]   A working guide to boosted regression trees [J].
Elith, J. ;
Leathwick, J. R. ;
Hastie, T. .
JOURNAL OF ANIMAL ECOLOGY, 2008, 77 (04) :802-813
[8]   THE ANALYSIS OF SPATIAL ASSOCIATION BY USE OF DISTANCE STATISTICS [J].
GETIS, A ;
ORD, JK .
GEOGRAPHICAL ANALYSIS, 1992, 24 (03) :189-206
[9]   Multi-criteria characterization of recent digital soil mapping and modeling approaches [J].
Grunwald, S. .
GEODERMA, 2009, 152 (3-4) :195-207
[10]   Spatial variability of soil nitrogen, phosphorus and potassium contents in Moso bamboo forests in Yong'an City, China [J].
Guan, Fengying ;
Xia, Mingpeng ;
Tang, Xiaolu ;
Fan, Shaohui .
CATENA, 2017, 150 :161-172