Evaluation of aggregate stability methods for soil health

Rieke, Elizabeth L.; Bagnall, Dianna K.; Morgan, Curtis; Flynn, Kade D.; Howe, Julie A.; Greub, Kelsey L.H.; Bean, G. Mac; Cappellazzi, Shannon B.; Cope, Michael; Liptzin, Daniel; Norris, Charlotte E.; Tracy, P. W.; Aberle, Ezra; Ashworth, Amanda J.; Tavarez, Oscar Bañuelos; Bary, Andy I.; Baumhardt, R. Louis; Gracia, Alberto Borbón; Brainard, Daniel C.; Brennan, Jameson R.; Reyes, Dolores Briones; Bruhjell, Darren; Carlyle, Cameron N.; Crawford, James J.W.; Creech, Cody F.; Culman, Steve W.; Deen, Bill; Dell, Curtis J.; Derner, Justin D.; Ducey, Thomas F.; Duiker, Sjoerd W.; Dyck, Miles; Ellert, Benjamin H.; Entz, Martin H.; Solorio, Avelino Espinosa; Fonte, Steven J.; Fonteyne, Simon; Fortuna, Ann‐Marie; Foster, Jamie L.; Fultz, Lisa M.; Gamble, Audrey V.; Geddes, Charles M.; Griffin‐LaHue, Deirdre; Grove, John H.; Hamilton, Stephen K.; Hao, Xiying; Hayden, Zachary D.; Honsdorf, Nora; Ippolito, James A.; Johnson, Gregg A.; Kautz, Mark A.; Kitchen, Newell R.; Kumar, Sandeep; Kurtz, Kirsten S.M.; Larney, Francis J.; Lewis, Katie L.; Liebman, Matt; Ramírez, Andrés María; Machado, Stephen; Maharjan, Bijesh; Gamiño, Miguel Ángel Martínez; May, William E.; McClaran, Mitchel P.; McDaniel, Marshall D.; Millar, N.; Mitchell, Jeffrey P.; Moore, Amber; Moore, P.; Gutiérrez, Manuel Mora; Nelson, Kelly A.; Omondi, Emmanuel C.; Osborne, Shannon L.; Alcalá, Leodegario Osorio; Owens, Phillip R.; Pena‐Yewtukhiw, E. M.; Poffenbarger, Hanna J.; Lira, Brenda Ponce; Reeve, Jennifer R.; Reinbott, Timothy M.; Reiter, Mark S.; Ritchey, Edwin L.; Roozeboom, Kraig L.; Rui, Yichao; Sadeghpour, Amir; Sainju, Upendra M.; Sanford, Gregg R.; Schillinger, William F.; Schindelbeck, Robert R.; Schipanski, Meagan; Schlegel, Alan J.; Scow, Kate M.; Sherrod, Lucretia A.; Shober, Amy L.; Sidhu, Sudeep S.; Moya, Ernesto Solís; Luce, Mervin St.; Strock, Jeffrey S.; Suyker, Andrew E.; Sykes, Virginia R.; Tao, Haiying; Campos, Alberto Trujillo; Eerd, Laura L. Van; Es, Harold M. van; Verhulst, Nele; Vyn, Tony J.; Wang, Yutao; Watts, Dexter B.; Wright, David L.; Zhang, Tiequan; Honeycutt, C. Wayne

doi:10.1016/j.geoderma.2022.116156

Cited by 47 publications

(20 citation statements)

References 74 publications

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“…Soil aggregate stability was affected by several factors, one of which is soil organic matter. Similarly, Rieke et al (2022) reported that soil aggregate stability was positively correlated with soil organic C, indicating that increasing soil organic C was followed by increasing soil aggregate stability. The KL treatment had high soil organic matter; therefore, the soil aggregate was more stable.…”

Section: Available Water Capacitymentioning

confidence: 88%

The role of coffee agroforestry on available water capacity and root length density in smallholder plantation

KHOIRUNNISAK¹,

PRIJONO²,

WICAKSONO³

2023

Biodiversitas

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Abstract. Khoirunnisak A, Prijono S, Wicaksono KS. 2023. The role of coffee agroforestry on available water capacity and root length density in smallholder plantation. Biodiversitas 24: 55-61. The application of coffee agroforestry has several advantages, such as increasing the cycle of nutrients and soil organic matter as well as improving soil physical properties. However, there is still an information gap related to the interaction between coffee plants and shade plant roots. This study aimed to evaluate coffee agroforestry on available water capacity (AWC) and root length density (RLD). The research was carried out at the smallholder coffee plantation in Dampit District in four shade types (coffee-open, shaded with Musa sp., shaded with Gliricidia sp., and shaded with L. leucochepala). Soil and root samples were taken at three depths (0-20 cm, 20-40 cm, and 40-60 cm) and at two distances (near the coffee stems and between the coffee shade). The variables observed were AWC, RLD, soil organic C, soil aggregate stability, and soil penetration resistance. The result was coffee plants with shade trees increased AWC value and root density compared to coffee-open. The type of shade significantly affected RLD, where shaded with Gliricidia sp., and shaded with L. leucochepala were better than coffee-open. This indicates that there was no root competition between coffee plants and shade trees. However, shaded with Musa sp. had lower RLD than coffee-open. Soil depth had a significant effect on the AWC value and root length density of coffee plants, where the most AWC values ??and coffee root distribution were higher at a depth of 0-20 cm.

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Section: Available Water Capacitymentioning

confidence: 88%

The role of coffee agroforestry on available water capacity and root length density in smallholder plantation

KHOIRUNNISAK¹,

PRIJONO²,

WICAKSONO³

2023

Biodiversitas

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show abstract

“…Thus, the results did not support the study hypotheses. Rieke et al (2022) highlighted that in addition to the sensitivity to detect changes in soil aggregate stability due to management practices, factors such as cost and user needs should be considered when selecting a suitable aggregate stability method for a given study. Findings showed that like the DAS method, the SLAKES method could not detect aggregate stability status of the treatments.…”

Section: Discussionmentioning

confidence: 99%

Soil aggregate stability quantified by different methods is unaffected by rice straw biochar in the long term

Obour

Danso

Dorvlo

et al. 2023

Soil Science Soc of Amer J

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Highly weathered tropical soils are susceptible to disaggregation due to disruptive forces like water and mechanical disturbances. However, a few studies have investigated how biochar and cropping systems together affect the aggregate stability of tropical soils. This study investigated the long‐term (∼7 years) effect of rice straw biochar on the aggregate stability of a tropical Acrisol using the dry aggregate stability (DAS) method and SLAKES (a wet aggregate stability technique), and assessed the extent of agreement or otherwise of the aggregate stability quantified by the two methods for different treatments. Maize (Zea mays L.) and okra (Abelmoschus esculentus L.) were rotated on plots amended with rice straw biochar at rates of 0, 15, and 30 Mg ha−1. Seven years after biochar amendment, bulk soil samples were collected at 0–15 cm depth for laboratory analyses. Aggregate stability was assessed by determining erodible fraction (EF) and DAS, and by quantifying the SLAKES parameters (slaking index [SI] and slaking index at 600 seconds [SI‐600]). Neither biochar nor crop type or their interaction significantly changed the soil aggregate stability assessed by the two methods (p > 0.05). The EF and DAS weakly correlated with SI and SI‐600, which could be attributed to the differences in the mechanisms underlying soil aggregate breakdown assessed by the two methods. The study highlighted that observed challenges of the SLAKES method namely, inability in some cases to detect soil aggregates and the disaggregation process could offset its advantages as a tool for rapid detection of soil structural problem areas within agricultural fields.

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“…Fine et al (2017) also observed higher mean for WAS for coarse-textured soils compared to medium-and finetextured soils, and they suggested that better physical protection from raindrop impact is provided by coarse sand-sized particles. Recently, Rieke et al (2022) reported that WAS is influenced by sand content, and this may be attributed to the sand correction in the method. Consistent with other studies, significant differences were observed between mediumtextured and clay-textured soils, and between coarse-textured and clay-textured soils for PR15 and PR45 (Table 2; Grunwald et al 2001;Fine et al 2017).…”

Section: Soil Texture Effects On Scoring Function Interpretationmentioning

confidence: 99%

Developing scoring functions based on soil texture to assess agricultural soil health in Quebec, Canada

et al. 2023

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Adoption of soil health indicators to access physical, biological, and chemical properties involves adapting their interpretation for a specific region using scoring functions. Accordingly, we used data provided from 1166 soil samples distributed between fine, medium, and coarse-textured soils collected in agricultural areas across the province of Quebec, Canada, and analyzed for 15 soil health indicators. Scoring functions were calculated according to the means and standard deviations obtained for each soil health indicator by textural group. Three scoring types were used: “more-is-better”, “less-is-better”, and “optimum is best”. The results showed that 12 indicators were significantly influenced by soil texture and need separate scoring functions, except for wet aggregate stability, penetration resistance of the surface hardness (0-15 cm) and pH. This led to the development of one to three scoring functions for each soil health indicator. Correlation analysis between soil health indicators was also investigated to better understand relationships between soil physical, biological, and chemical properties. We observed that soil biological indicators were moderately to strongly correlated with each other (r = 0.59-0.74) and with soil physical indicators (r = 0.60-0.76). Overall, the results of this study led to the development of new scoring functions based on soil texture to interpret soil health indicators objectively and accurately for the benefit of Quebec farmers and agricultural stakeholders. The findings of this study demonstrated the need to adapt scoring functions to better account for the impact of regional factors on agricultural soils for the interpretation of soil health indicators.

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Evaluation of aggregate stability methods for soil health

Cited by 47 publications

References 74 publications

The role of coffee agroforestry on available water capacity and root length density in smallholder plantation

The role of coffee agroforestry on available water capacity and root length density in smallholder plantation

Soil aggregate stability quantified by different methods is unaffected by rice straw biochar in the long term

Developing scoring functions based on soil texture to assess agricultural soil health in Quebec, Canada

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