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DOI10.1007/s10533-021-00812-9
Land use drives the spatial variability of soil phosphorus in the Hexi Corridor, China
Li X.; Liu T.; Zhao C.; Shao M.; Cheng J.
发表日期2021
ISSN1682563
英文摘要Phosphorus (P) is considered an indispensable and finite resource that limits crop yields, and soil P is distributed heterogeneously in space. However, a systematic analysis of previous studies indicates that there are large gaps in our knowledge regarding the spatial patterns of soil P due to the lack of sufficient field observations, especially at larger scales. Thus, we explored the spatial patterns of soil total P (TP) and Olsen-available P (AP) in the Hexi Corridor, which is an important commodity grain base for China where large quantities of chemical P fertilizers were applied. We analyzed the spatial variability of soil P using semivariogram and Anselin Local Moran’s I analysis at the regional and local scales. We explored the driving factors that influence the variances in soil P using principal component regression and Johnson’s relative weights. Overall, soil TP was at a “low” level (0.55 g/kg in 0–20 cm and 0.49 g/kg in 20–40 cm) and AP was at the “lowest” level (2.54 mg/kg in 0–20 cm and 1.73 mg/kg in 20–40 cm). The soil TP and AP levels tended to be similar within land use types and they varied according to the following decreasing order: farmland > grassland > forestland > bare land. The soil TP and AP both exhibited strong spatial dependence (nugget ratio = 4.4–8.0%) within large ranges (132.0–222.0 km). At the local scale, Anselin Local Moran’s I analysis indicated the existence of some clusters and outlier areas, and land use determined the local disparities in the soil P contents. Ordinary kriging (OK) interpolation was used to obtain unbiased estimates of the soil TP content (mean absolute error (MAE) < 0.002 g/kg) and AP content (MAE = 0.027 mg/kg), but the predictions of the soil P at local positions were not satisfactory, where the normalized root mean square error varied from 78.8 to 84.8%. Land use and normalized difference vegetation index (NDVI) were major factors that contributed to the spatial variability in the soil P. These results indicate severe P limitation in the northwestern China and land use dominates the spatial variability of soil P at both local and regional scales. Our finding provides information that is relevant to assess fertilizer application, soil P predication and vegetation restoration. © 2021, The Author(s), under exclusive licence to Springer Nature Switzerland AG.
英文关键词Geostatistics; Land use; Principal components regression; Soil available phosphorus; Soil total phosphorus
语种英语
来源期刊Biogeochemistry
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/184636
作者单位National-Regional Joint Engineering Research Center for Soil Pollution Control and Remediation in South China, Guangdong Key Laboratory of Integrated Agro-Environmental Pollution Control and Management, Institute of Eco-Environmental and Soil Sciences, Guangdong Academy of Sciences, Guangzhou, 510650, China; Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; State Key Laboratory of Soil Erosion and Dryland Farming On the Loess Plateau, Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling, 712100, China
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Li X.,Liu T.,Zhao C.,et al. Land use drives the spatial variability of soil phosphorus in the Hexi Corridor, China[J],2021.
APA Li X.,Liu T.,Zhao C.,Shao M.,&Cheng J..(2021).Land use drives the spatial variability of soil phosphorus in the Hexi Corridor, China.Biogeochemistry.
MLA Li X.,et al."Land use drives the spatial variability of soil phosphorus in the Hexi Corridor, China".Biogeochemistry (2021).
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