Guizhou Provincial Key Laboratory of Geographic State Monitoring of Watershed, School of Geography and Resources, Guizhou Education University, Guiyang 550018, China.
State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China.
Sci Total Environ. 2022 Feb 10;807(Pt 2):150632. doi: 10.1016/j.scitotenv.2021.150632. Epub 2021 Oct 2.
Orchard grass coverage has been widely adopted to increase fruit yield by improving soil fertility. However, the impact of the environment on the changes in soil organic carbon (SOC) stocks consecutive to orchard grass coverage remain poorly quantified at a large scale. The present study aimed to examine the responses of SOC stocks to grass coverage at a soil depth of 0-30 cm in orchards compared to clean tillage. A total of 342 observations across China from 139 peer-reviewed publications were subjected to meta-analysis. Aggregated boosted tree analysis was performed, evaluating the determinants of SOC stocks, such as plant traits (e.g., fruit tree type, grass type, orchard age, and grass age), edaphic variables (e.g., initial SOC and nitrogen concentration, soil pH, and soil clay content), climatic factors (e.g., mean annual precipitation (MAP) and mean annual temperature (MAT)), and management practices (e.g., grass source, grass growing mode, fertilization, grass mowing, placement of mowed residues, and irrigation). On average, orchard grass coverage significantly enhanced SOC stocks by 21.47% (percentage change) compared to clean tillage. Biotic and abiotic factors influenced this increase in SOC stocks following grass coverage in orchards to different extents. Grass age and soil clay content were the main determinants driving the variation in the SOC stocks following grass coverage in orchards. Thus, we propose an efficient way to optimize C sequestration in grass covered orchards, regarding plant traits, climatic factors, edaphic variables, and management practices. Longer than 12 months of surface grass coverage with cultivated grass species in mature deciduous fruit orchards (≥5 years) efficiently increased SOC stocks. This is particularly the case for acidic (pH < 6.5) soils with low C content (SOM < 15 g kg) in areas with suitable rainfall and temperature conditions (MAP ≥ 400 mm, MAT ≥ 10 °C). Collectively, this meta-analysis identified orchard grass coverage as a promising practice for significantly increasing SOC stocks at 0-30 cm across large geospatial locations in China.
黑麦草的覆盖已被广泛采用,以通过提高土壤肥力来增加水果产量。然而,环境对果园中黑麦草覆盖后土壤有机碳(SOC)储量连续变化的影响在很大程度上仍未得到量化。本研究旨在检验在 0-30cm 土壤深度内,与清耕相比,草皮覆盖对 SOC 储量的响应。对来自 139 篇同行评议出版物的 342 个中国观测值进行了荟萃分析。使用聚合增强树分析评估了 SOC 储量的决定因素,如植物特征(例如,果树类型、草类型、果园年龄和草龄)、土壤变量(例如,初始 SOC 和氮浓度、土壤 pH 和土壤粘粒含量)、气候因素(例如,年平均降水量(MAP)和年平均温度(MAT))和管理措施(例如,草源、草生长模式、施肥、刈割、刈割残留物的放置和灌溉)。平均而言,与清耕相比,果园黑麦草覆盖显著提高了 SOC 储量 21.47%(百分比变化)。生物和非生物因素在不同程度上影响了这一增加。草龄和土壤粘粒含量是决定果园草皮覆盖后 SOC 储量变化的主要因素。因此,我们提出了一种优化草覆盖果园碳固存的有效方法,涉及植物特性、气候因素、土壤特性和管理措施。在成熟落叶果园(≥5 年)中,表面黑麦草覆盖超过 12 个月,且用栽培草种进行管理,可有效提高 SOC 储量。在降水和温度条件适宜(MAP≥400mm,MAT≥10°C)、土壤酸性(pH<6.5)、C 含量低(SOM<15gkg)的地区,这种情况尤其如此。总的来说,这项荟萃分析确定果园草皮覆盖是一种很有前景的做法,可以显著增加中国大地理区域 0-30cm 土壤的 SOC 储量。