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Spatial variability of soil organic matter and total nitrogen and the influencing factors in Huzhu County of Qinghai Province, China
被引:4
|作者:
Zhang, Bicheng
[1
,2
]
Niu, Lele
[1
,2
]
Jia, Tianzhong
[3
]
Yu, Xiaohua
[4
]
She, Diao
[1
,5
]
机构:
[1] CAS & MWR, Inst Soil & Water Conservat, Yangling 712100, Shannxi, Peoples R China
[2] Univ Chinese Acad Sci, Beijing, Peoples R China
[3] Northwest A&F Univ, Coll Nat Resources & Environm, Yangling, Shaanxi, Peoples R China
[4] Agr Technol Extens Ctr Huzhu Cty, Haidong City, Peoples R China
[5] Northwest A&F Univ, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China
来源:
关键词:
Qinghai-Tibet Plateau;
soil organic matter;
soil total nitrogen;
spatial variability;
geodetector;
influencing factor;
LAND-USE CHANGE;
ENVIRONMENTAL VARIABLES;
LOESS PLATEAU;
CARBON STOCK;
CLIMATE;
REGION;
GRADIENT;
D O I:
10.1080/09064710.2021.2023624
中图分类号:
S3 [农学(农艺学)];
学科分类号:
0901 ;
摘要:
The soil organic matter (SOM) and soil total nitrogen (STN) is a significant concern in Qinghai-Tibet Plateau, China. This study analysed the spatial distribution of SOM and STN and determined their influencing factors to support the conservation of cultivated soil and development of sustainable agricultural strategies in the Plateau. In total, 120 soil samples were collected from the 0-20-cm soil layer in Huzhu County, Qinghai Province. Traditional statistical and geostatistical methods were used to analyse the spatial distribution of SOM and STN; a geographical detector (GeoDetector)was used to explore the factors influencing the spatial variation. The SOM and STN concentrations were 6.92-44.57 and 0.52-2.54 g/kg, respectively. The Cokriging interpolation map showed a similar spatial distribution pattern for SOM and STN concentrations, which decreased from the northeast to southwest directions in the study area. GeoDetector results revealed that the three primary factors influencing the spatial variability of SOM and STN were soil type, annual accumulated precipitation and elevation, with their explanatory power ranging between 38.4% and 59.5%. Two-factor interactions enhanced the explanatory power of the spatial variability of SOM and STN. The research results provide a reference for conservation tillage and precision agriculture.
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页码:576 / 588
页数:13
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