Identifying key factors controlling potential soil respiration in agricultural fields

IF 2.3 4区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Kabindra Adhikari, Kelsey R. Anderson, Douglas R. Smith, Phillip R. Owens, Philip A. Moore Jr., Zamir Libohova
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Abstract

Soil respiration is one of the main soil health indicators and is influenced by several factors in agricultural fields. Identifying key factors that control soil respiration is desirable for informed soil management decisions and for promoting and scaling up soil health. This study aimed to (i) quantify the relationships between potential soil respiration and selected soil properties, crops, and slope positions, and (ii) identify key factors controlling these relationships using a neural network model. Ninety soil samples from 0- to 5- and 5- to 20-cm soil depth were collected from footslope, backslope, and summit in three fields planted with soybean (Glycine max L. Merr.), alfalfa (Medicago sativa L.), and corn (Zea mays L.). The model provided great accuracy (coefficient of determination: 0.96; root-mean square error: 7.8; and mean absolute deviation: 3.8) and explained nearly 96% of variations in soil respiration across soil depth, crop, and slope positions. Soil depth, ammoniacal nitrogen (NH4-N), crop types, slope position, and silt content were identified as the top five factors influencing potential soil respiration at the field level. Potential soil respiration was more sensitive to potassium, phosphorus, pH, cation exchange capacity, and mean weight diameter and less sensitive to NH4-N, nitrate nitrogen, soil organic matter, and clay content. It increased with pH, electrical conductivity, mean weight diameter, potential nitrogen mineralization, and potassium, and it decreased with increasing silt content. Soil from 0 to 5 cm under soybean or at the summit slope position exhibited a higher respiration. Using a small dataset, this pilot study accurately predicted potential soil respiration in agricultural fields and identified key drivers controlling it. The results from this study highlight the complexity of using potential soil respiration as a standalone test for evaluating soil health. This does not diminish the usefulness of potential soil respiration as a soil health indicator to support agricultural management decisions and as a reference in future soil health studies. However, it emphasizes the importance of considering multiple factors when interpreting the significance of soil biological indicators for soil health assessments.

Abstract Image

确定控制农田土壤呼吸潜力的关键因素
土壤呼吸是农田土壤健康的主要指标之一,受多种因素的影响。确定控制土壤呼吸的关键因素是明智的土壤管理决策以及促进和扩大土壤健康的必要条件。本研究旨在(i)量化潜在土壤呼吸与选定土壤性质、作物和斜坡位置之间的关系,以及(ii)使用神经网络模型确定控制这些关系的关键因素。在3块种植大豆(Glycine max L. Merr.)、苜蓿(Medicago sativa L.)和玉米(Zea mays L.)的农田中,分别从坡底、后坡和坡顶采集了90个土壤样品,深度分别为0 ~ 5 cm和5 ~ 20 cm。该模型具有较高的准确度(决定系数:0.96;均方根误差:7.8;平均绝对偏差:3.8),并解释了土壤呼吸在土壤深度、作物和坡位之间近96%的变化。土壤深度、氨态氮(NH4-N)、作物类型、坡位和粉土含量是影响农田土壤呼吸潜力的前5大因素。潜在土壤呼吸对钾、磷、pH、阳离子交换量和平均重径更敏感,对NH4-N、硝态氮、土壤有机质和粘土含量不太敏感。随着pH值、电导率、平均重径、潜在氮矿化和钾含量的增加而增加,随着粉砂含量的增加而降低。大豆下0 ~ 5 cm土层和峰顶坡位土壤呼吸速率较高。该试点研究利用小型数据集,准确预测了农田潜在土壤呼吸,并确定了控制土壤呼吸的关键驱动因素。这项研究的结果强调了使用潜在土壤呼吸作为评估土壤健康的独立测试的复杂性。这并不影响潜在土壤呼吸作为土壤健康指标支持农业管理决策和作为未来土壤健康研究参考的有用性。然而,它强调了在解释土壤生物指标对土壤健康评价的意义时考虑多种因素的重要性。
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来源期刊
CiteScore
3.70
自引率
3.80%
发文量
28
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