Climate, soil and management factors drive the quantitative relationships between soil fertility and spring maize water productivity in northern China

Dryland agriculture in northern China is mainly limited by water scarcity and low soil fertility. This study thus quantified relationships between spring maize water productivity (WP) and soil fertility as well as variations in such relationships. In doing so, a total of 844 datasets were integrated...

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Main Authors: Jiao Shi, Minggang Xu, Xinhua He, Huaiping Zhou, Jianhua Li
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:Agricultural Water Management
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Online Access:http://www.sciencedirect.com/science/article/pii/S0378377425003130
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author Jiao Shi
Minggang Xu
Xinhua He
Huaiping Zhou
Jianhua Li
author_facet Jiao Shi
Minggang Xu
Xinhua He
Huaiping Zhou
Jianhua Li
author_sort Jiao Shi
collection DOAJ
description Dryland agriculture in northern China is mainly limited by water scarcity and low soil fertility. This study thus quantified relationships between spring maize water productivity (WP) and soil fertility as well as variations in such relationships. In doing so, a total of 844 datasets were integrated by data from four 23–40 years long-term experiments (Gongzhuling, Pingliang, Shenyang and Shouyang) and 21 peer-reviewed publications. The random forest, partial least squares structural equation modeling and variance partitioning analysis were then applied to address the quantitative relationships (QRs) and relevant differences. Results showed that QRs between regions were 2.14 (Northwest China, NW) > 1.53 (North China, NC) > 0.97 kg m−3 (Northeast China, NE); 1.70, 1.41, and 1.18 kg m−3 at dry, normal and wet years; 1.09 under chemical nitrogen (N), 1.57 under NP (chemical phosphorus), 2.08 under NPK (chemical potassium) (highest), 1.29 under manure (M), 1.09 under NM, 1.39 under NPM and 0.98 kg m−3 under NPKM (lowest), respectively. Mean annual precipitation, mean annual temperature, available N, N fertilization rate and maize varieties were main factors affecting QRs, while the effects and interactions of climate, soil properties and management factors were the main causes producing differences in QRs. The potential QRs determined by boundary functions were reached up to 6.2, 5.26 and 6.12 kg m−3 in NW, at dry years and under NPK, respectively. To improve spring maize WP through enhanced soil fertility, the NW region, dry years, and NPK were parallelly optimal, while such WP increases were increased with N rate in NE and NW or planting pattern change in NC, each of them could efficiently benefit for using scarce water resources in dryland northern China and other dryland areas.
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spelling doaj-art-ff4e734b137844c0bb4aaa40fc69fcf62025-08-20T03:10:18ZengElsevierAgricultural Water Management1873-22832025-07-0131610959910.1016/j.agwat.2025.109599Climate, soil and management factors drive the quantitative relationships between soil fertility and spring maize water productivity in northern ChinaJiao Shi0Minggang Xu1Xinhua He2Huaiping Zhou3Jianhua Li4College of Resources and Environment, and Shanxi Agricultural University, Taigu 030800, China; College of Urban and Rural Construction, Shanxi Agricultural University, Taigu 030800, China; Academy of Eco, Environment and Industrial Technology, Shanxi Agricultural University/Shanxi Province Key Laboratory of Soil Environment and Nutrient Resources, Taiyuan 030031, China; Shanxi Smart Water-Saving Technology Innovation CenterCollege of Resources and Environment, and Shanxi Agricultural University, Taigu 030800, China; Academy of Eco, Environment and Industrial Technology, Shanxi Agricultural University/Shanxi Province Key Laboratory of Soil Environment and Nutrient Resources, Taiyuan 030031, China; Corresponding author at: College of Resources and Environment, and Shanxi Agricultural University, Taigu 030800, China.College of Resources and Environment, and Shanxi Agricultural University, Taigu 030800, China; Academy of Eco, Environment and Industrial Technology, Shanxi Agricultural University/Shanxi Province Key Laboratory of Soil Environment and Nutrient Resources, Taiyuan 030031, China; School of Biological Sciences, University of Western Australia, Perth 6009, Australia; Department of Land, Air and Water Resources, University of California at Davis, Davis, CA 90616, USACollege of Resources and Environment, and Shanxi Agricultural University, Taigu 030800, ChinaCollege of Resources and Environment, and Shanxi Agricultural University, Taigu 030800, China; Academy of Eco, Environment and Industrial Technology, Shanxi Agricultural University/Shanxi Province Key Laboratory of Soil Environment and Nutrient Resources, Taiyuan 030031, ChinaDryland agriculture in northern China is mainly limited by water scarcity and low soil fertility. This study thus quantified relationships between spring maize water productivity (WP) and soil fertility as well as variations in such relationships. In doing so, a total of 844 datasets were integrated by data from four 23–40 years long-term experiments (Gongzhuling, Pingliang, Shenyang and Shouyang) and 21 peer-reviewed publications. The random forest, partial least squares structural equation modeling and variance partitioning analysis were then applied to address the quantitative relationships (QRs) and relevant differences. Results showed that QRs between regions were 2.14 (Northwest China, NW) > 1.53 (North China, NC) > 0.97 kg m−3 (Northeast China, NE); 1.70, 1.41, and 1.18 kg m−3 at dry, normal and wet years; 1.09 under chemical nitrogen (N), 1.57 under NP (chemical phosphorus), 2.08 under NPK (chemical potassium) (highest), 1.29 under manure (M), 1.09 under NM, 1.39 under NPM and 0.98 kg m−3 under NPKM (lowest), respectively. Mean annual precipitation, mean annual temperature, available N, N fertilization rate and maize varieties were main factors affecting QRs, while the effects and interactions of climate, soil properties and management factors were the main causes producing differences in QRs. The potential QRs determined by boundary functions were reached up to 6.2, 5.26 and 6.12 kg m−3 in NW, at dry years and under NPK, respectively. To improve spring maize WP through enhanced soil fertility, the NW region, dry years, and NPK were parallelly optimal, while such WP increases were increased with N rate in NE and NW or planting pattern change in NC, each of them could efficiently benefit for using scarce water resources in dryland northern China and other dryland areas.http://www.sciencedirect.com/science/article/pii/S0378377425003130Water productivitySoil fertilitySpring maizeDryland
spellingShingle Jiao Shi
Minggang Xu
Xinhua He
Huaiping Zhou
Jianhua Li
Climate, soil and management factors drive the quantitative relationships between soil fertility and spring maize water productivity in northern China
Agricultural Water Management
Water productivity
Soil fertility
Spring maize
Dryland
title Climate, soil and management factors drive the quantitative relationships between soil fertility and spring maize water productivity in northern China
title_full Climate, soil and management factors drive the quantitative relationships between soil fertility and spring maize water productivity in northern China
title_fullStr Climate, soil and management factors drive the quantitative relationships between soil fertility and spring maize water productivity in northern China
title_full_unstemmed Climate, soil and management factors drive the quantitative relationships between soil fertility and spring maize water productivity in northern China
title_short Climate, soil and management factors drive the quantitative relationships between soil fertility and spring maize water productivity in northern China
title_sort climate soil and management factors drive the quantitative relationships between soil fertility and spring maize water productivity in northern china
topic Water productivity
Soil fertility
Spring maize
Dryland
url http://www.sciencedirect.com/science/article/pii/S0378377425003130
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