Soil Organic Matter and Biochar Effects on Soil Water: Measurements, Pedotransfer Functions and APSIM Simulations

IF 4 2区 农林科学 Q2 SOIL SCIENCE
Deborah Aller, Sotirios Archontoulis, David Laird
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Abstract

The ability of soils to store and regulate water release to plants is critical for crop production; hence, the ability to estimate soil water parameters is critical. This study aimed to (1) determine biochar effects on the relationship between soil organic matter (SOM) and soil water/physical parameters including field capacity (FC), wilting point (WP), saturation (SAT), water holding capacity (WHC) and bulk density (BD); and (2) evaluate four pedotransfer functions (PTFs) and the APSIM-biochar model for their ability to estimate soil water/physical parameters. Forty-eight deep soil cores were collected from fields with and without biochar applications in Iowa, USA, sectioned into five increments (0–5, 5–15, 15–30, 30–50 and 50–90 cm, n = 226 replicated samples), and analysed for texture, SOM, FC, WP, SAT and BD. For every 1% increase in SOM, the 0–30 cm WHC increased by 5 mm (or 12%). The rate of increase was similar (p = 0.427) for soils with and without biochar, indicating that biochar and biogenic SOM have a similar influence on WHC. Across all data sets, the tested PTFs captured observed data variability, with the Saxton and Rawls PTF having the lowest relative root mean square error (RRMSE). The APSIM-biochar model dynamically simulated changes in soil water parameters and BD response to biochar application with an average RRMSE of 8.3% (uncalibrated) to 6.1% (calibrated). We concluded that the Saxton and Rawls PTF is effective for predicting WHC of soils with and without biochar amendments and that the accuracy of WHC predictions can be improved with location/biochar type-specific calibrations.

Abstract Image

土壤有机质和生物炭对土壤水分的影响:测量、土壤传递函数和APSIM模拟
土壤储存和调节向植物释放水分的能力对作物生产至关重要;因此,估算土壤水分参数的能力至关重要。本研究旨在(1)确定生物炭对土壤有机质(SOM)与土壤水物性参数(田间容量(FC)、萎蔫点(WP)、饱和度(SAT)、持水量(WHC)和容重(BD))之间关系的影响;(2)评价4种土壤传递函数(ptf)和apsim -生物炭模型对土壤水分/物性参数的估计能力。从美国爱荷华州施用和未施用生物炭的田地中收集了48个深层土壤岩心,分为5个增量(0-5、5 - 15、15-30、30-50和50-90 cm, n = 226个重复样本),并分析了纹理、SOM、FC、WP、SAT和BD。SOM每增加1%,0-30 cm的WHC增加5毫米(或12%)。添加生物炭和未添加生物炭的土壤,其增加速率相似(p = 0.427),表明生物炭和生物源性SOM对WHC的影响相似。在所有数据集中,测试的PTF捕获了观察到的数据变异性,其中Saxton和Rawls PTF具有最低的相对均方根误差(RRMSE)。apsim -生物炭模型动态模拟了土壤水分参数和生物炭对土壤水分响应的变化,平均RRMSE为8.3%(未校准)至6.1%(校准)。我们得出的结论是,Saxton和Rawls PTF对于预测有和没有生物炭修正的土壤的WHC是有效的,并且WHC预测的准确性可以通过特定位置/生物炭类型的校准来提高。
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来源期刊
European Journal of Soil Science
European Journal of Soil Science 农林科学-土壤科学
CiteScore
8.20
自引率
4.80%
发文量
117
审稿时长
5 months
期刊介绍: The EJSS is an international journal that publishes outstanding papers in soil science that advance the theoretical and mechanistic understanding of physical, chemical and biological processes and their interactions in soils acting from molecular to continental scales in natural and managed environments.
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