Automated sensor-based quantification of soil water retention and microbial respiration across drying conditions

Automated sensor-based quantification of soil water retention and microbial respiration across drying conditions
复制标题

基于传感器的自动化量化干燥条件下的土壤保水性和微生物呼吸

DOI:
10.1016/j.soilbio.2023.108987
复制
发表时间:
2023
影响因子:
9.7
通讯作者:
Guillard, Karl
Guillard, Karl
中科院分区:
农林科学1区
文献类型:
--
作者:
Gan, Huijie;Roper, Wayne R.;Groffman, Peter M.;Morris, Thomas F.;Guillard, Karl

文献摘要

参考文献

相似文献

了解土壤对气候引起的降水变率的响应对于改善全球碳模型和发展气候适应型农业具有重要意义。然而,我们的知识仍然有限的因素,影响土壤水分动力学和微生物呼吸在干燥条件下,部分阻碍了缺乏容易获得的方法。我们开发了一种低成本、自动化和集成的系统,可以同时量化微生物呼吸和土壤保水对干旱条件的响应。该系统集成了二氧化碳传感器和数字标度,当土壤在气密室中与干燥剂一起培养时,可以连续测量二氧化碳浓度和土壤水分蒸发损失。在这里,我们表明,与光谱气体分析仪和碱阱方法相比,传感器平台提供了准确和可重复的二氧化碳测量。利用传感器平台进一步证明,随着管理强度的增加,复湿土壤4 d内的平均微生物呼吸量呈下降趋势,其顺序为耕≤不耕≤耕_休耕≤不耕_休耕=干草田<森林。这些土壤在用于培养实验之前经过两年的风干处理,再湿后的微生物呼吸表现出单峰响应,在12小时内迅速增加并达到峰值,而森林土壤则表现出延迟响应,呼吸在30小时达到峰值。在干燥条件下,干草地再湿土壤的水分流失率低于其他土壤。干燥期结束时体积含水量的增加顺序为:耕作≤免耕<免耕≤免耕=干草田<森林。我们认为,该传感器平台为功能性土壤健康评估提供了一个强大的工具,并为了解气候引起的水分胁迫下土壤水动力学和微生物活动提供了基本的了解。
Understanding soil responses to climate-induced precipitation variability is important for improving global carbon models and the development of climate-resilient agriculture. However, our knowledge remains limited regarding factors that influence soil water dynamics and microbial respiration across drying conditions, partially hindered by the lack of easily accessible methodologies. We developed a low-cost, automated, and integrated system to simultaneously quantify microbial respiration and soil water retention in response to drought conditions. This system integrates a CO2sensor and a digital scale, enabling continuous measurement of CO2concentration and soil water loss by evaporation when soils are incubated with desiccants inside air-tight chambers. Here we show that the sensor platform provides accurate and repeatable CO2measurements when compared to a spectroscopy gas analyzer and the alkali trap method. Using the sensor platform, we further demonstrated that averaged microbial respiration of rewetted soil over 4-day incubation declined as management intensity increased following the order of Till ≤ NoTill ≤ Till_fallow ≤ NoTill_fallow = Hay field < Forest. These soils were air-dried for two years before use in incubation experiments, and microbial respiration upon rewetting showed a unimodal response, which rapidly increased and peaked within 12 h except for in forest soils that exhibited a delayed response with respiration peaking at 30 h. Under drying conditions, rewetted soil from the Hay field showed lower water loss than other soils. Volumetric water content at the end of the drying period increased in the order of Till ≤ NoTill < Till_fallow ≤ NoTill_fallow = Hay field < Forest. We posit that this sensor platform provides a powerful tool for functional soil health assessments and fundamental understanding of soil water dynamics and microbial activities in responses to climate-induced water stress.
DOI: 10.1016/j.jhydrol.2015.05.020
发表时间: 2015-08
影响因子: 6.4
作者:
A. Peters;S. Iden;W. Durner
通讯作者: A. Peters;S. Iden;W. Durner
受土壤有机质影响的关键土壤功能特性——已发表文献的证据
DOI: --
发表时间: 2015
期刊:
影响因子: --
作者:
B. Murphy
通讯作者: B. Murphy
DOI: --
发表时间: 2014
期刊:
影响因子: --
作者:
Nan Ding;Yuehui Chen;Can Huan Li;Jiangni Lei;Jin He Qian;Bo Yang
通讯作者: Bo Yang
DOI: 10.1155/2013/240280
发表时间: 2013
影响因子: --
作者:
Han J;Zhou Z
通讯作者: Zhou Z
农业土壤质量与健康的发展:土壤有机质管理研究委员会的思考
DOI: --
发表时间: 2019
影响因子: 4.6
作者:
M. Wander;L. Cihacek;M. Coyne;R. Drijber;J. Grossman;J. Gutknecht;W. Horwath;S. Jagadamma;D. Olk;M. Ruark;S. Snapp;L. Tiemann;R. Weil;R. Turco
通讯作者: R. Turco