Enhancing soil ecological stoichiometry and orchard yield through ground cover management: A meta-analysis across China

IF 6 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Weiting Ding , Huizhou Gao , Zhidong Qi , Liangjie Sun , Chengwei Zheng , Jinsong Huang , Vilim Filipović , Hailong He
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引用次数: 0

Abstract

Ground cover management (GCM) is a critical agricultural practice that influences soil ecological stoichiometry (SES) and orchard productivity. However, its effects on soil carbon (C), nitrogen (N), and phosphorus (P) dynamics and their implications for fruit yield remain poorly understood. This study synthesizes 12,486 paired observations from 415 studies to assess the impact of GCM on soil SES and orchard yield across China. Results indicate that GCM significantly increases soil C (20.0 %), N (15.0 %), and P (13.0 %) concentrations, as well as C:N (4.9 %), C:P (6.6 %), and N:P (2.6 %) ratios, leading to a 13.9 % improvement in fruit yield. The effects of GCM vary with various management practices and environmental factors. Mowing enhances soil C (20.0 %) sequestration and yield (17.4 %) more effectively than no mowing (19.0 % C, 1.9 % yield). A random forest model identifies mean annual precipitation (MAP) and mean annual temperature (MAT) as key climatic drivers of SES and yield, with maximum yield benefits (14.5 %–18.2 %) observed in cooler, drier regions (MAP ≤ 600 mm, MAT ≤ 15 °C). These findings highlight GCM as a sustainable strategy for improving soil health and maintaining orchard productivity under variable climatic conditions.
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来源期刊
Agriculture, Ecosystems & Environment
Agriculture, Ecosystems & Environment 环境科学-环境科学
CiteScore
11.70
自引率
9.10%
发文量
392
审稿时长
26 days
期刊介绍: Agriculture, Ecosystems and Environment publishes scientific articles dealing with the interface between agroecosystems and the natural environment, specifically how agriculture influences the environment and how changes in that environment impact agroecosystems. Preference is given to papers from experimental and observational research at the field, system or landscape level, from studies that enhance our understanding of processes using data-based biophysical modelling, and papers that bridge scientific disciplines and integrate knowledge. All papers should be placed in an international or wide comparative context.
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