Microbial soil quality indicators depending on land use and soil type in a semi-arid dryland in Kenya

IF 3.7 2区 农林科学 Q1 ECOLOGY European Journal of Soil Biology Pub Date : 2024-05-17 DOI:10.1016/j.ejsobi.2024.103626
Kevin Z. Mganga , José Rolando , Subin Kalu , Kristiina Karhu
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Abstract

Soil microbial indicators help monitor soil quality. Limited studies have determined how land use in drylands affects soil microbial indices. Top soil (0–10 cm) from four land use systems in African drylands: (1) shrubland (natural), (2) grassland (natural), (3) pasture (agricultural) and (4) cropland (agricultural) occurring on two soil types: (1) Vertisol and (2) Acrisol, was used in laboratory incubations (6 days) to assess the effects of land use changes on organic carbon (Corg) mineralization, microbial biomass C (Cmic), mineralization quotient (qM), metabolic quotient (qCO2), Cmic:Corg ratio and sensitivity indices of these microbial indicators. Experimental plots were organized into a completely randomized design (n = 3) for every combination of land use and soil type. Cumulative CO2 produced from native Corg mineralization was the highest in Acrisol (108 ± 2.7 μg CO2–C g−1 soil) and the lowest in Vertisol (53 ± 2.5 μg CO2–C g−1 soil) croplands. Vertisol shrubland (1.34 ± 0.09 mg C g−1 soil) and Acrisol cropland (0.28 ± 0.07 mg C g−1 soil) had the highest and the lowest Cmic, respectively. Acrisol cropland (1.29 μg CO2–C g−1 h−1) had the highest qM, approximately five times higher than the lowest qM (0.26 μg CO2–C g−1 h−1) in a Vertisol cropland. Highest qCO2 was observed in an Acrisol pasture (12.04 μg CO2–C g−1 Cmic h−1), which was approximately 30 times higher compared to the lowest qCO2 observed in a Vertisol shrubland (0.41 μg CO2–C g−1 Cmic h−1). The Cmic:Corg ratio was the highest in a Vertisol shrubland (0.097), approximately five times higher than the lowest observed in an Acrisol pastureland (0.019). Our study demonstrated that the measured soil quality indicators' magnitude, direction, and sensitivity varied depending on land use and soil type. Higher N availability in Vertisols increased the biological stability of soil organic carbon (SOC) resulting to decreased SOC mineralization than Acrisols. In conclusion, the measured microbial soil quality indicators showed that Acrisols are prone to accelerated SOC mineralization after disturbance than Vertisols in the studied semi-arid dryland ecosystems. Thus, there is a need to manage natural ecosystem conversions to support sustainable crop and pasture production in African drylands.

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肯尼亚半干旱旱地的微生物土壤质量指标取决于土地利用和土壤类型
土壤微生物指标有助于监测土壤质量。有关旱地土地利用如何影响土壤微生物指标的研究有限。来自非洲旱地四种土地利用系统的表层土壤(0-10 厘米):(1) 灌木地(自然);(2) 草地(自然);(3) 牧场(农业);(4) 耕地(农业),出现在两种土壤类型上:(通过实验室培养(6 天),评估了土地利用变化对有机碳(Corg)矿化、微生物生物量 C(Cmic)、矿化商数(qM)、代谢商数(qCO2)、Cmic:Corg 比率以及这些微生物指标的敏感性指数的影响。对每种土地利用和土壤类型组合的实验地块进行了完全随机设计(n = 3)。原生Corg矿化产生的累积二氧化碳在Acrisol(108 ± 2.7 μg CO2-C g-1 soil)中最高,在Vertisol(53 ± 2.5 μg CO2-C g-1 soil)耕地中最低。洼地灌木林(1.34 ± 0.09 毫克 C g-1 土壤)和陡坡耕地(0.28 ± 0.07 毫克 C g-1 土壤)的 Cmic 分别最高和最低。陡坡耕地的 qM 值最高(1.29 μg CO2-C g-1 h-1),约为陡坡耕地最低 qM 值(0.26 μg CO2-C g-1 h-1)的五倍。在虹砾质牧场观察到最高的 qCO2(12.04 μg CO2-C g-1 Cmic h-1),与在惰性砂质灌木林观察到的最低 qCO2(0.41 μg CO2-C g-1 Cmic h-1)相比,高出约 30 倍。迷迭香灌木林中的 Cmic:Corg 比率最高(0.097),比在虹彩牧场中观察到的最低比率(0.019)高出约五倍。我们的研究表明,所测量的土壤质量指标的大小、方向和敏感性因土地利用和土壤类型而异。与 Acrisols 相比,Vertisols 中更高的氮供应量增加了土壤有机碳(SOC)的生物稳定性,导致 SOC 矿化减少。总之,测量的微生物土壤质量指标表明,在所研究的半干旱旱地生态系统中,Acrisols 比 Vertisols 更容易在受到干扰后加速 SOC 矿化。因此,有必要对自然生态系统转换进行管理,以支持非洲旱地可持续的作物和牧草生产。
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来源期刊
European Journal of Soil Biology
European Journal of Soil Biology 环境科学-生态学
CiteScore
6.90
自引率
0.00%
发文量
51
审稿时长
27 days
期刊介绍: The European Journal of Soil Biology covers all aspects of soil biology which deal with microbial and faunal ecology and activity in soils, as well as natural ecosystems or biomes connected to ecological interests: biodiversity, biological conservation, adaptation, impact of global changes on soil biodiversity and ecosystem functioning and effects and fate of pollutants as influenced by soil organisms. Different levels in ecosystem structure are taken into account: individuals, populations, communities and ecosystems themselves. At each level, different disciplinary approaches are welcomed: molecular biology, genetics, ecophysiology, ecology, biogeography and landscape ecology.
期刊最新文献
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