Zhipeng Zhu, Yangyuhang Zhou, Xinyu Li, Lin Liu, Yili Lu, Tusheng Ren
{"title":"Measuring soil particle density using water pycnometer: Influencing factors, errors, and correction","authors":"Zhipeng Zhu, Yangyuhang Zhou, Xinyu Li, Lin Liu, Yili Lu, Tusheng Ren","doi":"10.1002/saj2.70073","DOIUrl":"10.1002/saj2.70073","url":null,"abstract":"<p>The water pycnometer method, which has been widely used for measuring soil particle density (<i>ρ</i><sub>s</sub>), is subject to errors due to interactions between water molecules and clay minerals. In this study, we evaluated the influences of soil mineralogy and organic matter content on <i>ρ</i><sub>s</sub> and quantified the measurement errors of the water pycnometer by comparing with gas (He) pycnometer data obtained in 35 soils from Northeast China. The <i>ρ</i><sub>s</sub> results showed a significant positive correlation with the content of secondary minerals (including illite-smectite mixture, illite, kaolinite, and chlorite), displayed a negative correlation only with the primary mineral of plagioclase, and exhibited statistically insignificant correlations with soil organic matter content and other primary minerals (quartz and potassium feldspar). A mean <i>ρ</i><sub>s</sub> value of 2.644 g cm<sup>−</sup><sup>3</sup> was obtained from the He pycnometry measurements. The <i>ρ</i><sub>s</sub> data from the water pycnometry were generally higher than those from the He pycnometry, which was mainly attributed to the increased density of adsorbed water on clay minerals. A linear relationship between <i>ρ</i><sub>s</sub> and clay content was developed and verified, which could be applied to correct errors in water pycnometer data.</p>","PeriodicalId":101043,"journal":{"name":"Proceedings - Soil Science Society of America","volume":"89 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144085074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimizing measurement of soil potential high-affinity H2 uptake activity across pH","authors":"Lijun Hou, Philippe Constant, Joann K. Whalen","doi":"10.1002/saj2.70072","DOIUrl":"10.1002/saj2.70072","url":null,"abstract":"<p>Soil high-affinity H<sub>2</sub> uptake activity can be affected by many factors, including the soil pH. However, the method to determine how pH affects high-affinity H<sub>2</sub> uptake activity should be updated. The effect of pH on the biological high-affinity H<sub>2</sub> uptake in agricultural soils was compared using three pH buffer systems in the pH 4–8 range. Soil pH was adjusted to the target pH using a buffer system (1 g soil/5 mL pH buffer). Soil slurries were treated with heat (autoclaving) or a chemical (25% v/w of toluene addition, microbial inhibitor) to inhibit biological activity. Sterile pH buffer was used as a negative control. The sterile soil slurry (heat sterilization) was the optimal reference control for measuring biological high-affinity H<sub>2</sub> uptake activity. Biological H<sub>2</sub> uptake activity was resistant to toluene, particularly at extreme pH levels. Overall, soil pH (<i>p</i> = 0.95) and pH buffer systems (<i>p</i> = 0.46) did not affect the high-affinity H<sub>2</sub> uptake activity in the tested agricultural soils. We provide an updated method to accurately measure the potential high-affinity H<sub>2</sub> uptake activity in soil, with an emphasis on the importance of controlling the soil pH.</p>","PeriodicalId":101043,"journal":{"name":"Proceedings - Soil Science Society of America","volume":"89 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/saj2.70072","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lane A. Galloway, Audrey V. Gamble, Elizabeth A. Guertal, Yucheng Feng, C. Z. Ogles
{"title":"Potential of ammonium thiosulfate and potassium thiosulfate to inhibit nitrification in soils","authors":"Lane A. Galloway, Audrey V. Gamble, Elizabeth A. Guertal, Yucheng Feng, C. Z. Ogles","doi":"10.1002/saj2.70053","DOIUrl":"10.1002/saj2.70053","url":null,"abstract":"<p>Nitrogen use efficiency by crops can vary according to soil properties and environmental conditions. Nitrification inhibitors show potential to improve efficiency of fertilizer N use by keeping N in the ammonium form, decreasing leaching, and denitrification. The objective of this study was to evaluate the effectiveness of ammonium thiosulfate (ATS) and potassium thiosulfate (KTS) products to inhibit nitrification in three soils: Marvyn loamy sand, Tujunga loamy sand, and Sable silt loam. Two runs of a 10-week incubation experiment were performed, and soil ammonium-N (NH<sub>4</sub><sup>+</sup>-N), nitrite-N (NO<sub>2</sub><sup>−</sup>-N), and nitrate-N (NO<sub>3</sub><sup>−</sup>-N) concentrations were measured to determine the effectiveness of two rates of ATS and KTS (3.54:1 and 7.68:1 N:S ratio) to inhibit nitrification of urea-based fertilizers compared to an untreated control, urea, urea + ammonium sulfate, and urea + dicyandiamide (DCD) treatments. The higher rate of ATS and KTS reduced nitrification by 75% compared to untreated urea from day 14 to 63 in the Tujunga loamy sand in the first run and by 80% from day 21 to 56 in run two. Similarly, the higher rate of ATS and KTS reduced nitrification by 40% compared to urea for the Sable silt loam in run one from day 42 to 70. No treatments reduced nitrification compared to untreated urea in the Marvyn loamy sand. Nitrite-N concentrations followed similar trends when compared to NO<sub>3</sub><sup>−</sup>-N in the Tujunga soil, suggesting that the treatments inhibiting nitrification are inhibiting the first step in the nitrification process. Both ATS and KTS were shown to inhibit nitrification comparable to DCD, but effectiveness of these inhibitors need to be evaluated further in different soils.</p>","PeriodicalId":101043,"journal":{"name":"Proceedings - Soil Science Society of America","volume":"89 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/saj2.70053","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Reid W. Barker, Matthew J. Helmers, Marshall D. McDaniel
{"title":"Cover crops can mitigate no-tillage-induced labile phosphorus stratification","authors":"Reid W. Barker, Matthew J. Helmers, Marshall D. McDaniel","doi":"10.1002/saj2.70064","DOIUrl":"10.1002/saj2.70064","url":null,"abstract":"<p>Minimal- and no-tillage systems are effective at reducing soil erosion, increasing soil organic matter, and reducing nutrient losses. However, extended periods of reduced tillage can stratify phosphorus (P) in surface soil layers, which can have negative implications for both water quality and crop nutrition. We measured soil P stratification in a long-term (12-year) experiment under maize (<i>Zea mays</i>)–soybean (<i>Glycine max</i>) rotations that combine two tillage practices (chisel-plow, no-tillage) with/without a winter cover crop (<i>Secale cereale</i> or cereal rye). Our objectives were twofold: (1) to quantify soil P stratification in this 2 × 2 factorial experiment using a common P stratification index (P<sub>strat</sub>) on six soil P measurements—water-extractable (H<sub>2</sub>O-P), microbial biomass (MBP), anion exchange resin extractable phosphorus (AER-P), soil test Mehlich-3 P (STP), bicarbonate extractable phosphorus, and total P. We calculated P<sub>strat</sub> as mean P concentrations at 0–5 cm divided by 5–25 cm depths and (2) to correlate P<sub>strat</sub> to crop P uptake and yield to answer the question—Does P stratification limit crop growth? The P<sub>strat</sub> ranged from 1.3 to 87.5 across all soil P measurements, but H<sub>2</sub>O-P was most stratified (mean H<sub>2</sub>O-P<sub>strat</sub> = 22.8). No-tillage increased P<sub>strat</sub> by 8%–584% compared to chisel plowing, and cover crops (with tillage) increased P<sub>strat</sub> by 8%–269% compared to winter fallow with tillage. In an unexpected antagonistic interaction, however, adding a cover crop to no-tilled soils reduced P<sub>strat</sub> by 23%–72% compared to no-till. Interestingly, soybean P uptake and yield were positively related to a few P<sub>strat</sub> measures (<i>r</i> > 0.48); but maize P uptake was negatively related to stratification of STP (<i>r</i> < −0.46). We confirmed that long-term no-tillage, and even cover crops alone, can stratify soil P. When combined, however, cereal rye as a winter cover crop can alleviate no-till-caused soil P stratification, adding yet another benefit to using this winter-hardy cover crop in US Midwest cropping systems.</p>","PeriodicalId":101043,"journal":{"name":"Proceedings - Soil Science Society of America","volume":"89 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/saj2.70064","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143905339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kristen S. Veum, Paul A. Parker, Scott H. Holan, Namitha V. Pais, Skye A. Wills, Joseph P. Amsili, Márcio R. Nunes, Harold M. van Es, Cathy A. Seybold, Douglas L. Karlen
{"title":"Spatially explicit heteroskedastic modeling for the Soil Health Assessment Protocol and Evaluation version 1.0S","authors":"Kristen S. Veum, Paul A. Parker, Scott H. Holan, Namitha V. Pais, Skye A. Wills, Joseph P. Amsili, Márcio R. Nunes, Harold M. van Es, Cathy A. Seybold, Douglas L. Karlen","doi":"10.1002/saj2.70065","DOIUrl":"10.1002/saj2.70065","url":null,"abstract":"<p>Greater awareness of the role of soil management in achieving global production goals and mitigating emerging environmental challenges has focused the spotlight on soil health assessment and interpretation. The role of site-specific characteristics in soil health assessment has long been recognized through small-scale experimental studies, and the soil health assessment protocol and evaluation (SHAPE) tool was developed to facilitate cross-site comparisons and provide regionally relevant interpretation by accounting for site-specific factors. Specifically, SHAPE version 1.0 was developed to account for primary climate-edaphic factors including long-term climate means (temperature and precipitation) and edaphic characteristics (soil texture and soil suborder). Version 1.0S of SHAPE further incorporates a spatially explicit, heteroskedastic approach into the Bayesian linear regression model to refine peer-group scoring curves and benchmark values based on proximity. This approach captures regional variability in soil characteristics and improves the relevance and interpretability of the SHAPE scores and benchmark values.</p>","PeriodicalId":101043,"journal":{"name":"Proceedings - Soil Science Society of America","volume":"89 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/saj2.70065","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143904920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Muhammad Tauseef Jaffar, Wenqian Chang, Muhammad Ahmed, Ruoxuan Shi, Qingzhu Liu, Nicholas Girkin, Yi Cao, Wei Jiang, Xiong Li, Jianguo Zhang
{"title":"Mechanistic insights into the role of biochar C:N ratios in modulating greenhouse gas emissions and soil organic carbon fractions in contrasting soil types","authors":"Muhammad Tauseef Jaffar, Wenqian Chang, Muhammad Ahmed, Ruoxuan Shi, Qingzhu Liu, Nicholas Girkin, Yi Cao, Wei Jiang, Xiong Li, Jianguo Zhang","doi":"10.1002/saj2.70068","DOIUrl":"10.1002/saj2.70068","url":null,"abstract":"<p>Role of varying C:N ratios of biochar to enhance soil health and impacts across soil types remain inadequately understood. Therefore, this study aimed to elucidate the mechanisms of change in soil organic carbon (SOC) fractions and greenhouse gas (GHG) emissions under nitrogen-enriched biochar (NB) application in sandy soil and loamy soil. A control (CK; without biochar) and four biochar types, including one pristine biochar (PB) and three types of NB (NB1, NB2, and NB3), were applied at two rates (20 t ha<sup>−1</sup> [L1] and 40 t ha<sup>−1</sup> [L2]). Biochar types and application levels significantly influenced CH₄ and CO₂ emissions. NB effectively reduced CH₄ while increased CO₂ emissions in both soil types. NB enhanced the SOC pools, which is primarily attributed to increased mineral-associated and particulate SOC in both sandy and loamy soils. β-glucosidase, cellobiohydrolase, and β-xylosidase were significantly enhanced by NB, particularly at a higher application rate of biochar (L2) compared to CK, with more pronounced increases in loamy soil. Structural equation modeling showed that biochar types and application levels significantly influenced CH₄ and CO₂ emissions and SOC. The results provide valuable insights for guiding biochar applications aimed at reducing CO₂ and CH₄ emissions while improving soil fertility, with potential benefits for diverse agroecosystems and farming communities worldwide.</p>","PeriodicalId":101043,"journal":{"name":"Proceedings - Soil Science Society of America","volume":"89 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143905208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Effects of fertilizer rate on yield-scaled nitrous oxide emissions from two soil types","authors":"Kosoluchukwu C. Ekwunife, Chandra A. Madramootoo","doi":"10.1002/saj2.70070","DOIUrl":"10.1002/saj2.70070","url":null,"abstract":"<p>Synthetic N fertilizer application has increased crop yields to meet the growing food demand, but it has also contributed to greater N<sub>2</sub>O emissions from cultivated fields. Best management practices, including the 4Rs (right source, right rate, right time, and right place) of nutrient management, have been proposed to mitigate these emissions; however, there have been inconsistent results regarding the impact of soil texture on yield-scaled N<sub>2</sub>O emissions. To clarify this issue, a field study was undertaken to evaluate the influence of three nitrogen fertilization rates (140, 180, and 220 kg N ha<sup>−1</sup>) on N<sub>2</sub>O emissions and grain corn (<i>Zea mays</i> L.) yield from sandy loam and silty clay soil field sites situated in southwestern Quebec, Canada. Crop nitrogen uptake and yields were greater on the sandy loam than on the silty clay. Grain yields increased with N fertilization rate. Cumulative N<sub>2</sub>O emissions from the sandy loam soil were up to threefold greater than those from the silty clay soil due to soil and weather conditions during fertilizer application. No significant differences were found in the N<sub>2</sub>O fluxes among the N rate treatments in either soil. Assessing results from five other studies, we found that under corn production, overall yield-scaled emissions from poorly drained soils were fivefold greater than well-drained (coarse- and medium-textured) soils. However, yield-scaled emissions vary more widely in poorly drained soils, showing both lower and higher values than in well-drained soils. These results demonstrate the need to consider soil textural differences and the impacts of climate variability on emissions when recommending fertilizer rates to reduce N<sub>2</sub>O emissions.</p>","PeriodicalId":101043,"journal":{"name":"Proceedings - Soil Science Society of America","volume":"89 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/saj2.70070","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143900935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Oscar Pascal Malou, David Sebag, Olivier Taugourdeau, Herman Ravelojaona, Melissa Tellez, Jérôme Nespoulous, Stephane Boivin, Marc Ducosso, Kenji Maurice, Marie-Liesse Aubertin, Hassan Boukcim, Maira Alves-Fortunato
{"title":"Using a Rock-Eval device for thermal oxidative analysis of calcareous soils with low organic carbon content: A technical note","authors":"Oscar Pascal Malou, David Sebag, Olivier Taugourdeau, Herman Ravelojaona, Melissa Tellez, Jérôme Nespoulous, Stephane Boivin, Marc Ducosso, Kenji Maurice, Marie-Liesse Aubertin, Hassan Boukcim, Maira Alves-Fortunato","doi":"10.1002/saj2.70067","DOIUrl":"10.1002/saj2.70067","url":null,"abstract":"<p>Quantifying soil organic and inorganic carbon with a high degree of accuracy is an area of growing scientific interest. There are many methods available for quantifying soil organic carbon (SOC) and soil inorganic carbon (SIC), either separately or simultaneously. Some of these methods present limitations and uncertainties for the quantification of these two forms of soil carbon, particularly in calcareous soils with low SOC contents. Rock-Eval (RE) thermal analysis, which emerged as a major tool in soil science over the last few decades, has its advantages over other analytical methods, but it also has its limitations, particularly for studying soils with low SOC contents. Here, we propose a new thermal oxidative method with the REdevice to quantify low levels of SOC in calcareous soils: Oxypure. We analyzed soils using both the standard protocol of RE thermal analysis (RE650) and dry combustion using an elemental analyzer (EA) and compared them with the Oxypure method. Our results show that the RE650 protocol is inadequate for studying calcareous soils with low SOC content. Compared to the reference method EA, the Oxypure method is more suitable for quantifying SIC and SOC in calcareous soils with low SOC contents. This study also shows that SOC can be characterized from a combined C–CO<sub>2</sub> thermogram obtained using the Oxypure method. Overall, this study has demonstrated that the Oxypure method is more suitable than the RE650 protocol for studying calcareous soils with low SOC content, and we strongly recommend this method for these particular soils.</p>","PeriodicalId":101043,"journal":{"name":"Proceedings - Soil Science Society of America","volume":"89 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/saj2.70067","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143896952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Igor L. Bretas, Jose C. B. Dubeux Jr., Luana M. D. Queiroz, Courtland Kelly, Scott Flynn, Sam Ingram, Martin Ruiz-Moreno, Mario A. Lira Junior, Beatriz E. Bizzuti, Kenneth T. Oduor, Flavia F. Simili, Javier P. Acuña, Kevin R. Trumpp, Cristian T. E. Mendes, Marilia A. Bernardini
{"title":"Weed encroachment affects soil organic carbon stock in bermudagrass pastures","authors":"Igor L. Bretas, Jose C. B. Dubeux Jr., Luana M. D. Queiroz, Courtland Kelly, Scott Flynn, Sam Ingram, Martin Ruiz-Moreno, Mario A. Lira Junior, Beatriz E. Bizzuti, Kenneth T. Oduor, Flavia F. Simili, Javier P. Acuña, Kevin R. Trumpp, Cristian T. E. Mendes, Marilia A. Bernardini","doi":"10.1002/saj2.70066","DOIUrl":"10.1002/saj2.70066","url":null,"abstract":"<p>Weed encroachment indicates pasture degradation and is a major challenge for adequate pasture management. Additionally, it might compromise the soil organic carbon (SOC) stock, affecting global climate change. Common bermudagrass [<i>Cynodon dactylon</i> (L.) Pers.] is a worldwide grown forage species, but broadleaf weed species often encroach during the warm season without appropriate weed management. Spiny pigweed (<i>Amaranthus spinosus</i> L.) is one of the widely encountered weeds in pastures across the globe. We quantified the SOC in bermudagrass pastures encroached with different levels of spiny pigweed after 3 years. Different methods (fixed depth vs. equivalent soil mass [ESM] approaches) were evaluated for SOC estimates. The treatments were paddocks free of weeds (weed-free), paddocks with weeds established in alternated strips (weed-strips), and paddocks with weeds spread throughout the whole area (weed-infested) in a randomized complete block design with four replicates. Bermudagrass herbage accumulation rate (HAR) and belowground responses were evaluated as explanatory variables. Spiny pigweed encroachment reduced the bermudagrass HAR and belowground biomass accumulation. The fixed depth method overestimated the SOC in the topsoil layer, while differences between ESM approaches were negligible. The SOC concentration was greater in weed-free than weed-infested areas. The cumulative SOC stock (0–15 cm) estimated on an ESM basis was 15% lower in weed-infested pastures (33.6 Mg ha<sup>−1</sup>) compared to weed-free or weed-strips (39.5 Mg ha<sup>−1</sup>). Spiny pigweed encroachment in bermudagrass pastures significantly impacts the soil in the short term, leading to lower SOC stocks compared to weed-free pastures.</p>","PeriodicalId":101043,"journal":{"name":"Proceedings - Soil Science Society of America","volume":"89 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/saj2.70066","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143875558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Newly established prairie strips intermittently increase soil carbon beneath the strip, but not in surrounding cropland","authors":"Corinn E. Rutkoski, Sarah E. Evans","doi":"10.1002/saj2.70056","DOIUrl":"10.1002/saj2.70056","url":null,"abstract":"<p>Prairie strips, zones of agricultural land converted to perennial vegetation, have the potential to sequester soil carbon and improve soil health. In this study, we introduced prairie strips to two cropping systems that had been maintained with cover crops and reduced chemical inputs for the previous 30 years. We evaluated soil carbon within newly established prairie strips and in adjacent cropland, measuring microbial biomass carbon (MBC), permanganate oxidizable carbon (POXC), and mineralizable carbon (MinC) in each of the first 3 years of prairie strip establishment. We also measured C stocks in particulate organic matter (POM) and mineral-associated organic matter (MAOM) fractions 3 years after prairie strip planting. We found prairie strip effects on soil C depended on the form of C measured, and the year (which included different crops and management activities). Prairie strips showed higher soil MBC and MinC than cropland during corn and wheat years, but not during a soybean year, and did not alter C in POM or MAOM fractions after 3 years. We also found no evidence that prairie strips increased soil C in adjacent cropland soils. Within each year, soil MBC and MinC responded to management practices that occurred shortly before sampling in prairie strips and cropland, suggesting that these measurements may be most appropriate for tracking short-term (weeks) responses of soil C. Overall, we find that prairie strips generally have a positive impact on fast-cycling soil C during early establishment in multiple cropping systems, but effects are highly dependent on annual and intraannual management and the specific form of C being measured.</p>","PeriodicalId":101043,"journal":{"name":"Proceedings - Soil Science Society of America","volume":"89 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/saj2.70056","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143875557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}