Heidi Reitmeier, Lindsay Pease, Peyton Loss, Tim Radatz
Supported by the National Phosphorus (P) Research Project led by Dr. Andrew Sharpley, Minnesota developed its statewide P-Index, the Minnesota P Loss Index (MNPI), to manage critical source areas of agricultural P. The MNPI has remained unchanged since its last revision in 2006. The overall goal of this study was to critically evaluate the MNPI to determine, in the parlance of Sharpley, if the MNPI remains "directionally and magnitudinally correct." Observed P loss from 67 site-years of annual edge-of-field data was compared with MNPI-predicted P loss. Our assessment indicates that MNPI performance is directionally correct: it correctly ranks fields that are more at risk than others. The MNPI performed better in years with high-intensity rainfall events. Averaging MNPI assessment across multiple years of data input, along with minor adjustments to the calculation algorithm, improved the robustness of MNPI estimates. Continued re-evaluation of the MNPI will ensure that this important tool for nutrient management is properly evaluating P loss potential. This study reflects Dr. Sharpley's decades-long effort to improve and revise P indices so that they reflect advances in the science and management of agricultural P.
{"title":"Evaluation of Minnesota Phosphorus Loss Index performance.","authors":"Heidi Reitmeier, Lindsay Pease, Peyton Loss, Tim Radatz","doi":"10.1002/jeq2.20635","DOIUrl":"https://doi.org/10.1002/jeq2.20635","url":null,"abstract":"<p><p>Supported by the National Phosphorus (P) Research Project led by Dr. Andrew Sharpley, Minnesota developed its statewide P-Index, the Minnesota P Loss Index (MNPI), to manage critical source areas of agricultural P. The MNPI has remained unchanged since its last revision in 2006. The overall goal of this study was to critically evaluate the MNPI to determine, in the parlance of Sharpley, if the MNPI remains \"directionally and magnitudinally correct.\" Observed P loss from 67 site-years of annual edge-of-field data was compared with MNPI-predicted P loss. Our assessment indicates that MNPI performance is directionally correct: it correctly ranks fields that are more at risk than others. The MNPI performed better in years with high-intensity rainfall events. Averaging MNPI assessment across multiple years of data input, along with minor adjustments to the calculation algorithm, improved the robustness of MNPI estimates. Continued re-evaluation of the MNPI will ensure that this important tool for nutrient management is properly evaluating P loss potential. This study reflects Dr. Sharpley's decades-long effort to improve and revise P indices so that they reflect advances in the science and management of agricultural P.</p>","PeriodicalId":15732,"journal":{"name":"Journal of environmental quality","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142391006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Finn A. Bondeson, Joshua W. Faulkner, Tiffany L. Chin, Andrew W. Schroth, Michael Winchell, Aubert Michaud, Mohamed Niang, Eric D. Roy
Analysis of nutrient balance at the watershed scale, including for phosphorus (P), is typically accomplished using aggregate input datasets, resulting in an inability to capture the variability of P status across the study region. This study presents a set of methods to predict and visualize partial P mass balance, soil P saturation ratio (PSR), and soil test P for agricultural parcels across a watershed in the Lake Champlain Basin (Vermont, USA) using granular, field-level data. K-means cluster analyses were used to group agricultural parcels by soil texture, average slope, and crop type. Using a set of parcels accounting for ∼21% of the watershed's agricultural land and having known soil test and nutrient management parameters, predictions of partial P mass balance, PSR, and soil test P for agricultural land across the watershed were made by cluster, incorporating uncertainty. This resulted in an average partial P balance of 5.5 ± 0.2 kg P ha−1 year−1 and an average PSR of 0.0399 ± 0.0002. Furthermore, approximately 30% of agricultural land had predicted soil test P values above optimum levels. Results were used to visualize areas with high P loss potential. Such data and visualizations can inform watershed P modeling and assist practitioners in nutrient management decision making. These techniques can also serve as a framework for bottom-up modeling of nutrient mass balance and soil metrics in other regions.
流域尺度的养分平衡分析,包括磷(P)的养分平衡分析,通常是通过综合输入数据集完成的,因此无法捕捉整个研究区域的磷状况变化。本研究提出了一套方法,利用颗粒化的田间级数据,预测和直观显示尚普兰湖流域(美国佛蒙特州)农业地块的部分磷质量平衡、土壤磷饱和度比(PSR)和土壤测试磷。通过 K-means 聚类分析,按照土壤质地、平均坡度和作物类型对农业地块进行了分组。利用一组占流域农田面积 21% 以上、已知土壤测试和养分管理参数的地块,按群集预测了整个流域农田的部分 P 质量平衡、PSR 和土壤测试 P,并考虑了不确定性。其结果是,平均部分 P 平衡为 5.5 ± 0.2 kg P ha-1 year-1,平均 PSR 为 0.0399 ± 0.0002。此外,约 30% 的农业用地的土壤测试 P 值高于最佳水平。研究结果可用于直观显示潜在的高磷流失区域。这些数据和可视化可为流域钾模型提供信息,并帮助从业人员做出养分管理决策。这些技术还可作为其他地区自下而上的养分质量平衡和土壤指标建模的框架。
{"title":"Watershed-scale spatial prediction of agricultural land phosphorus mass balance and soil phosphorus metrics: A bottom-up approach","authors":"Finn A. Bondeson, Joshua W. Faulkner, Tiffany L. Chin, Andrew W. Schroth, Michael Winchell, Aubert Michaud, Mohamed Niang, Eric D. Roy","doi":"10.1002/jeq2.20633","DOIUrl":"10.1002/jeq2.20633","url":null,"abstract":"<p>Analysis of nutrient balance at the watershed scale, including for phosphorus (P), is typically accomplished using aggregate input datasets, resulting in an inability to capture the variability of P status across the study region. This study presents a set of methods to predict and visualize partial P mass balance, soil P saturation ratio (PSR), and soil test P for agricultural parcels across a watershed in the Lake Champlain Basin (Vermont, USA) using granular, field-level data. K-means cluster analyses were used to group agricultural parcels by soil texture, average slope, and crop type. Using a set of parcels accounting for ∼21% of the watershed's agricultural land and having known soil test and nutrient management parameters, predictions of partial P mass balance, PSR, and soil test P for agricultural land across the watershed were made by cluster, incorporating uncertainty. This resulted in an average partial P balance of 5.5 ± 0.2 kg P ha<sup>−1</sup> year<sup>−1</sup> and an average PSR of 0.0399 ± 0.0002. Furthermore, approximately 30% of agricultural land had predicted soil test P values above optimum levels. Results were used to visualize areas with high P loss potential. Such data and visualizations can inform watershed P modeling and assist practitioners in nutrient management decision making. These techniques can also serve as a framework for bottom-up modeling of nutrient mass balance and soil metrics in other regions.</p>","PeriodicalId":15732,"journal":{"name":"Journal of environmental quality","volume":"53 6","pages":"1152-1163"},"PeriodicalIF":2.2,"publicationDate":"2024-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jeq2.20633","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142380988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kelly Kosiarski, Charles (Zeke) Usner, Heather E. Preisendanz
Reusing treated wastewater for irrigation is a sustainable way to recycle nutrients and reduce freshwater use. However, wastewater irrigation inadvertently introduces per- and polyfluoroalkyl substances (PFAS) into agroecosystems, causing concerns regarding potential adverse effects to ecosystem, animal, and human health. Therefore, a better understanding of the pathways by which PFAS accumulate in forage crops is needed. A greenhouse study was conducted to (1) quantify the contribution of root uptake versus foliar sorption of PFAS in corn (Zea mays) and orchard grass (Dactylis glomerata), (2) assess effects of PFAS-impacted wastewater irrigation on plant health, and (3) determine the potential implications for bioaccumulation. The greenhouse study was composed of four treatments for each forage crop to isolate the relative contribution of two uptake pathways. Results suggested that foliar sorption was an unlikely contributor to PFAS concentrations observed in crop tissue. Root uptake was identified as the predominant uptake pathway. PFAS were detected more frequently in orchard grass samples compared to corn silage samples. Additionally, corn exhibited a lower uptake of long-chain PFAS compared to grass. Overall, no plant health effects on growth attributable to PFAS concentrations were observed. Forage data suggest cattle exposure to PFAS would be largely short-chain PFAS or long-chain “replacement” compounds (>50%). However, cattle may still be exposed to potentially harmful long-chain PFAS; levels in the forage crops exceeded the tolerable weekly intake set by the European Food Safety Authority. This study provides insights on PFAS entry into the food chain and potential implications for livestock and human health.
{"title":"From wastewater to feed: Understanding per- and polyfluoroalkyl substances occurrence in wastewater-irrigated crops","authors":"Kelly Kosiarski, Charles (Zeke) Usner, Heather E. Preisendanz","doi":"10.1002/jeq2.20630","DOIUrl":"10.1002/jeq2.20630","url":null,"abstract":"<p>Reusing treated wastewater for irrigation is a sustainable way to recycle nutrients and reduce freshwater use. However, wastewater irrigation inadvertently introduces per- and polyfluoroalkyl substances (PFAS) into agroecosystems, causing concerns regarding potential adverse effects to ecosystem, animal, and human health. Therefore, a better understanding of the pathways by which PFAS accumulate in forage crops is needed. A greenhouse study was conducted to (1) quantify the contribution of root uptake versus foliar sorption of PFAS in corn (<i>Zea mays</i>) and orchard grass (<i>Dactylis glomerata</i>), (2) assess effects of PFAS-impacted wastewater irrigation on plant health, and (3) determine the potential implications for bioaccumulation. The greenhouse study was composed of four treatments for each forage crop to isolate the relative contribution of two uptake pathways. Results suggested that foliar sorption was an unlikely contributor to PFAS concentrations observed in crop tissue. Root uptake was identified as the predominant uptake pathway. PFAS were detected more frequently in orchard grass samples compared to corn silage samples. Additionally, corn exhibited a lower uptake of long-chain PFAS compared to grass. Overall, no plant health effects on growth attributable to PFAS concentrations were observed. Forage data suggest cattle exposure to PFAS would be largely short-chain PFAS or long-chain “replacement” compounds (>50%). However, cattle may still be exposed to potentially harmful long-chain PFAS; levels in the forage crops exceeded the tolerable weekly intake set by the European Food Safety Authority. This study provides insights on PFAS entry into the food chain and potential implications for livestock and human health.</p>","PeriodicalId":15732,"journal":{"name":"Journal of environmental quality","volume":"54 1","pages":"66-79"},"PeriodicalIF":2.2,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11718136/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142372016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zachary P Simpson, Joshua Mott, Kyle Elkin, Anthony Buda, Joshua Faulkner, Cathleen Hapeman, Greg McCarty, Maryam Foroughi, W Dean Hively, Kevin King, Will Osterholz, Chad Penn, Mark Williams, Lindsey Witthaus, Martin Locke, Ethan Pawlowski, Brent Dalzell, Gary Feyereisen, Christine Dolph, David Bjorneberg, Kossi Nouwakpo, Christopher W Rogers, Isis Scott, Carl H Bolster, Lisa Duriancik, Peter J A Kleinman
The buffering of phosphorus (P) in the landscape delays management outcomes for water quality. If stored in labile form (readily exchangeable and bioavailable), P may readily pollute waters. We studied labile P and its intensity for >600 soils and sediments across seven study locations in the United States. Stocks of labile P were large enough to sustain high P losses for decades, indicating the transport-limited regime typical of legacy P. Sediments were commonly more P-sorptive than nearby soils. Soils in the top 5 cm had 1.3-3.0 times more labile P than soils at 5-15 cm. Stratification in soil test P and total P was, however, less consistent. As P exchange via sorption processes follows the difference in intensities between soil/sediment surface and solution, we built a model for the equilibrium phosphate concentration at net zero sorption (EPC0) as a function of labile P (quantity) and buffer capacity. Despite widely varying properties across sites, the model generalized well for all soils and sediments: EPC0 increased sharply with more labile P and to greater degree when buffer capacity was low or sorption sites were likely more saturated. This quantity-intensity-capacity relationship is central to the P transport models we rely on today. Our data inform the improvement of such P models, which will be necessary to predict the impacts of legacy P. Further, this work reaffirms the position of labile P as a key focus for environmental P management-a view Dr. Sharpley developed in the 1980s with fewer data and resources.
景观中磷(P)的缓冲作用会延迟水质的管理结果。如果磷以可迁移形式(易于交换和生物利用)储存,就很容易污染水体。我们研究了美国 7 个研究地点超过 600 种土壤和沉积物中的可移动磷及其浓度。可溶性磷的储量大到足以维持数十年的高磷损失,这表明遗留磷具有典型的迁移限制机制。顶部 5 厘米土壤中的可利用钾是 5-15 厘米土壤的 1.3-3.0 倍。然而,土壤测试 P 和总 P 的分层情况却不太一致。由于土壤/沉积物表面与溶液之间的磷交换是通过吸附过程进行的,因此我们建立了一个模型,将净零吸附时的磷平衡浓度(EPC0)作为可溶性磷(数量)和缓冲能力的函数。尽管不同地点的特性差异很大,但该模型对所有土壤和沉积物都有很好的通用性:EPC0 随可变 P 的增加而急剧增加,当缓冲能力较低或吸附点饱和度较高时,EPC0 的增加程度更大。这种数量-强度-容量的关系是我们今天所依赖的磷迁移模型的核心。我们的数据为改进此类 P 模型提供了信息,这对于预测遗留 P 的影响是必要的。此外,这项工作再次确认了可溶性 P 作为环境 P 管理重点的地位--这是 Sharpley 博士在 20 世纪 80 年代数据和资源较少的情况下提出的观点。
{"title":"Phosphorus lability across diverse agricultural contexts with legacy sources.","authors":"Zachary P Simpson, Joshua Mott, Kyle Elkin, Anthony Buda, Joshua Faulkner, Cathleen Hapeman, Greg McCarty, Maryam Foroughi, W Dean Hively, Kevin King, Will Osterholz, Chad Penn, Mark Williams, Lindsey Witthaus, Martin Locke, Ethan Pawlowski, Brent Dalzell, Gary Feyereisen, Christine Dolph, David Bjorneberg, Kossi Nouwakpo, Christopher W Rogers, Isis Scott, Carl H Bolster, Lisa Duriancik, Peter J A Kleinman","doi":"10.1002/jeq2.20632","DOIUrl":"https://doi.org/10.1002/jeq2.20632","url":null,"abstract":"<p><p>The buffering of phosphorus (P) in the landscape delays management outcomes for water quality. If stored in labile form (readily exchangeable and bioavailable), P may readily pollute waters. We studied labile P and its intensity for >600 soils and sediments across seven study locations in the United States. Stocks of labile P were large enough to sustain high P losses for decades, indicating the transport-limited regime typical of legacy P. Sediments were commonly more P-sorptive than nearby soils. Soils in the top 5 cm had 1.3-3.0 times more labile P than soils at 5-15 cm. Stratification in soil test P and total P was, however, less consistent. As P exchange via sorption processes follows the difference in intensities between soil/sediment surface and solution, we built a model for the equilibrium phosphate concentration at net zero sorption (EPC<sub>0</sub>) as a function of labile P (quantity) and buffer capacity. Despite widely varying properties across sites, the model generalized well for all soils and sediments: EPC<sub>0</sub> increased sharply with more labile P and to greater degree when buffer capacity was low or sorption sites were likely more saturated. This quantity-intensity-capacity relationship is central to the P transport models we rely on today. Our data inform the improvement of such P models, which will be necessary to predict the impacts of legacy P. Further, this work reaffirms the position of labile P as a key focus for environmental P management-a view Dr. Sharpley developed in the 1980s with fewer data and resources.</p>","PeriodicalId":15732,"journal":{"name":"Journal of environmental quality","volume":" ","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142347951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jane M. F. Johnson, Christina M. Helseth, Sharon Weyers, Thanos Papanicolaou, Dennis Busche
The Upper Mississippi River Basin (UMRB) Long-Term Agroecosystem Research (LTAR) watershed is hydrologically complex, with a notable temperature and precipitation gradient across four locations: Ames, IA; Platteville, WI; Morris, MN; and St. Paul, MN. Each location established LTAR Croplands Common Experiment (CCE) scenarios to fit local climatic and cultural practices. This paper describes the UMRB-Morris location, which was established in 2016 and is the most northern of the sites and contributes to the major watersheds of the UMRB and the Red River of the North. Both on-farm and plot-scale studies are included. The prevailing system is a corn (Zea mays L.)–soybean (Glycine max L.) rotation with annual deep ripping tillage. The signature alternative system is alternative 1, which is a shallow strip-till in a corn–soybean rotation. A second alternative system includes shallow tillage/rotational no-tillage in a corn–soybean–wheat (Triticum aestivum L.) with winter oilseed and cover crops, and it is considered a test ground for future alternative systems. On-farm fields are equipped with eddy covariance towers and include 16 geo-referenced soil core sampling sites for incremental samplings. Each field is sampled annually for crop yield and management data are recorded. Plot-scale versions of the treatments are managed at the Swan Lake Research Farm. On-farm and plot-scale fields are instrumented with Phenocams to capture continuous photographic records. The CCE at UMRB-Morris aims to integrate soil, crop, weather data, and image classification to assess benefits and challenges across different management strategies.
{"title":"The LTAR Cropland Common Experiment at Upper Mississippi River Basin–Morris","authors":"Jane M. F. Johnson, Christina M. Helseth, Sharon Weyers, Thanos Papanicolaou, Dennis Busche","doi":"10.1002/jeq2.20631","DOIUrl":"10.1002/jeq2.20631","url":null,"abstract":"<p>The Upper Mississippi River Basin (UMRB) Long-Term Agroecosystem Research (LTAR) watershed is hydrologically complex, with a notable temperature and precipitation gradient across four locations: Ames, IA; Platteville, WI; Morris, MN; and St. Paul, MN. Each location established LTAR Croplands Common Experiment (CCE) scenarios to fit local climatic and cultural practices. This paper describes the UMRB-Morris location, which was established in 2016 and is the most northern of the sites and contributes to the major watersheds of the UMRB and the Red River of the North. Both on-farm and plot-scale studies are included. The prevailing system is a corn (<i>Zea mays</i> L.)–soybean (<i>Glycine max</i> L.) rotation with annual deep ripping tillage. The signature alternative system is alternative 1, which is a shallow strip-till in a corn–soybean rotation. A second alternative system includes shallow tillage/rotational no-tillage in a corn–soybean–wheat (<i>Triticum aestivum</i> L.) with winter oilseed and cover crops, and it is considered a test ground for future alternative systems. On-farm fields are equipped with eddy covariance towers and include 16 geo-referenced soil core sampling sites for incremental samplings. Each field is sampled annually for crop yield and management data are recorded. Plot-scale versions of the treatments are managed at the Swan Lake Research Farm. On-farm and plot-scale fields are instrumented with Phenocams to capture continuous photographic records. The CCE at UMRB-Morris aims to integrate soil, crop, weather data, and image classification to assess benefits and challenges across different management strategies.</p>","PeriodicalId":15732,"journal":{"name":"Journal of environmental quality","volume":"53 6","pages":"989-998"},"PeriodicalIF":2.2,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142347952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Auset, L. Margarit, J. Cuadros, L. Fernández-Ruano, M. Claramunt, X. Mundet
The biological stability of solid waste is one of the main problems related to the environmental impact of landfills and their long-term emission potential. Current European legislation (European Landfill Directive, EC/99/31) introduced the need to reduce biodegradable organic compounds deposited in landfills; however, it set neither official parameters nor methods to define the stability of such a waste. In Spain, biodegradability is generally evaluated using the biological oxygen demand/chemical oxygen demand (BOD5/COD) ratio, measuring it on the leachate, thus not considering the non-soluble fraction and therefore creating false negatives. To solve this problem, the biodegradability of hazardous industrial waste has been determined by measuring its respirometric activity (AT4). Our results show that the measure of the AT4 is independent of the enrichment with a microbial inoculum, and a sample size no higher than 20 g could be a reasonable value for a sensitive biodegradability determination. The highest respirometric index is obtained in waste with pH values between 6.5 and 10.5. Furthermore, respirometric biodegradability values are independent of traditional parameters of organic matter characterization such as BOD5/COD ratio, volatile content, and total and dissolved organic carbon. Consequently, the AT4 parameter provides new information on the composition and stability of organic matter in hazardous industrial waste. Its incorporation into pre-disposal waste characterization protocols allows to identify waste that exceeds recommended biodegradability thresholds. This approach ensures that only waste meeting specified biodegradability standards is deposited, avoiding landfill emissions and related environmental impacts, and thereby improving the overall effectiveness and sustainability of waste management practices.
{"title":"Evaluation of the biodegradability of hazardous industrial solid waste: Study of key parameters","authors":"M. Auset, L. Margarit, J. Cuadros, L. Fernández-Ruano, M. Claramunt, X. Mundet","doi":"10.1002/jeq2.20624","DOIUrl":"10.1002/jeq2.20624","url":null,"abstract":"<p>The biological stability of solid waste is one of the main problems related to the environmental impact of landfills and their long-term emission potential. Current European legislation (European Landfill Directive, EC/99/31) introduced the need to reduce biodegradable organic compounds deposited in landfills; however, it set neither official parameters nor methods to define the stability of such a waste. In Spain, biodegradability is generally evaluated using the biological oxygen demand/chemical oxygen demand (BOD<sub>5</sub>/COD) ratio, measuring it on the leachate, thus not considering the non-soluble fraction and therefore creating false negatives. To solve this problem, the biodegradability of hazardous industrial waste has been determined by measuring its respirometric activity (AT<sub>4</sub>). Our results show that the measure of the AT<sub>4</sub> is independent of the enrichment with a microbial inoculum, and a sample size no higher than 20 g could be a reasonable value for a sensitive biodegradability determination. The highest respirometric index is obtained in waste with pH values between 6.5 and 10.5. Furthermore, respirometric biodegradability values are independent of traditional parameters of organic matter characterization such as BOD<sub>5</sub>/COD ratio, volatile content, and total and dissolved organic carbon. Consequently, the AT<sub>4</sub> parameter provides new information on the composition and stability of organic matter in hazardous industrial waste. Its incorporation into pre-disposal waste characterization protocols allows to identify waste that exceeds recommended biodegradability thresholds. This approach ensures that only waste meeting specified biodegradability standards is deposited, avoiding landfill emissions and related environmental impacts, and thereby improving the overall effectiveness and sustainability of waste management practices.</p>","PeriodicalId":15732,"journal":{"name":"Journal of environmental quality","volume":"53 6","pages":"1164-1175"},"PeriodicalIF":2.2,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jeq2.20624","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142248538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alayna A. Jacobs, Michael D. Flythe, Donald G. Ely, Leah Munoz, John B. May, Jim A. Nelson, Victoria Stanton, Rebecca K. McGrail, Kent Pham, Rebecca L. McCulley
Sustainable growth in livestock production requires reductions in trace gas emissions on grazing lands. Urine excreta patches are hot spots for accelerated emissions of carbon and nitrogen. Ruminant dietary supplementation with the isoflavone biochanin A (BCA) has been shown to improve cattle weight gain. To determine if BCA supplementation affects urine N excretion and soil trace gas emissions, soil in microcosms was amended with urine from lambs fed 0, 0.45, or 0.90 g BCA day−1. Soil gas emissions were measured over 60 days and analyzed with a linear mixed-effects model with repeated measures. On 2 days during the incubation, BCA addition across doses significantly reduced nitrous oxide emissions by 73% and methane by 98% compared to urine from non-dosed lambs. Cumulative ammonia volatilization was significantly reduced by 33% but cumulative nitrous oxide and methane emissions were not. Alterations in trace gas emissions occurred despite no change in urine N content with BCA feed supplementation. A separate laboratory incubation using urine from a non-supplemented lamb that was exogenously spiked with varying BCA concentrations supported these results: BCA significantly altered ammonia and methane emission dynamics and reduced cumulative nitrous oxide emissions by up to 41%. BCA did not change soil microbial community structure, suggesting alterations to other processes, such as soil enzyme activity, were affecting soil trace gas emissions. Overall, lamb BCA supplementation did not affect urine N but reduced ammonia volatilization, which may contribute to greater sustainability in livestock production systems.
{"title":"Biochanin A feed supplementation alters dynamics of trace gas emissions from lamb urine-amended soil","authors":"Alayna A. Jacobs, Michael D. Flythe, Donald G. Ely, Leah Munoz, John B. May, Jim A. Nelson, Victoria Stanton, Rebecca K. McGrail, Kent Pham, Rebecca L. McCulley","doi":"10.1002/jeq2.20628","DOIUrl":"10.1002/jeq2.20628","url":null,"abstract":"<p>Sustainable growth in livestock production requires reductions in trace gas emissions on grazing lands. Urine excreta patches are hot spots for accelerated emissions of carbon and nitrogen. Ruminant dietary supplementation with the isoflavone biochanin A (BCA) has been shown to improve cattle weight gain. To determine if BCA supplementation affects urine N excretion and soil trace gas emissions, soil in microcosms was amended with urine from lambs fed 0, 0.45, or 0.90 g BCA day<sup>−1</sup>. Soil gas emissions were measured over 60 days and analyzed with a linear mixed-effects model with repeated measures. On 2 days during the incubation, BCA addition across doses significantly reduced nitrous oxide emissions by 73% and methane by 98% compared to urine from non-dosed lambs. Cumulative ammonia volatilization was significantly reduced by 33% but cumulative nitrous oxide and methane emissions were not. Alterations in trace gas emissions occurred despite no change in urine N content with BCA feed supplementation. A separate laboratory incubation using urine from a non-supplemented lamb that was exogenously spiked with varying BCA concentrations supported these results: BCA significantly altered ammonia and methane emission dynamics and reduced cumulative nitrous oxide emissions by up to 41%. BCA did not change soil microbial community structure, suggesting alterations to other processes, such as soil enzyme activity, were affecting soil trace gas emissions. Overall, lamb BCA supplementation did not affect urine N but reduced ammonia volatilization, which may contribute to greater sustainability in livestock production systems.</p>","PeriodicalId":15732,"journal":{"name":"Journal of environmental quality","volume":"53 6","pages":"1086-1098"},"PeriodicalIF":2.2,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142248539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lindsey Witthaus, Ethan D. Pawlowski, Eric Stevens, Amitava Chatterjee, Martin A. Locke, Sarah McNamara, Matthew T. Moore
Legacies can become intertwined, none more so than the body of work of Dr. Andrew Sharpley examining agricultural nutrient delivery to waterbodies and the phosphorus (P) accumulation in agricultural soils, or “legacy P.” Although Sharpley's work focused on the anthropogenic influence on soil P, our study suggests soils of the Lower Mississippi Alluvial Plain (MAP) represent a natural legacy with moderate levels of available P resulting from minimal anthropogenic input. In 2019, we collected surface (0–5 cm) soil samples from four regionally dominant soil series in either cropland or forested land uses, spanning 76 locations within the MAP. Soil chemical and physical properties were measured utilizing a suite of extractions and texture analysis to correlate properties with soil P values. Total soil P did not vary between land uses. Mehlich‐3 extractable P was slightly higher in cropland soils due to higher concentrations in Forestdale and Sharkey soils. Dundee, Forestdale, and Sharkey cropland soils showed significant associations between Mehlich‐3‐extractable iron (Fe) and P. Ratios of total carbon (TC) to total nitrogen (C:N) and TC to P (C:P) were consistent across all sampled soil series but differed between forest and cropland soils. These ratios are critical for establishing baseline soil nutrient values in simulation models and can be used to improve water quality model simulations that help guide P management in the MAP. As Sharpley routinely demonstrated, understanding sources of P is critical for developing an appropriate management strategy. This study provides critical knowledge on soil P dynamics in the MAP region.
遗产是相互交织的,安德鲁-夏普利博士(Dr. Andrew Sharpley)对水体的农业养分输送和农业土壤中磷(P)的积累(或称 "遗产 P")进行了研究。尽管 Sharpley 的研究侧重于人为因素对土壤磷的影响,但我们的研究表明,密西西比河下冲积平原 (MAP) 的土壤是自然遗留下来的,人为输入的磷极少,因此土壤中的磷含量适中。2019 年,我们从密西西比冲积平原内 76 个地点的耕地或林地中采集了四个区域主要土壤系列的表层(0-5 厘米)土壤样本。通过一系列提取和质地分析,测量了土壤的化学和物理特性,从而将这些特性与土壤中的 P 值联系起来。不同土地用途的土壤总磷量没有差异。由于 Forestdale 和 Sharkey 土壤中的 P 含量较高,因此耕地土壤中的 Mehlich-3 可提取 P 略高。总碳(TC)与总氮(C:N)和总碳与总磷(C:P)的比率在所有取样土壤系列中都是一致的,但在森林土壤和耕地土壤中有所不同。这些比率对于在模拟模型中建立土壤养分基准值至关重要,可用于改进水质模型模拟,从而帮助指导 MAP 中的磷管理。正如 Sharpley 常常演示的那样,了解 P 的来源对于制定适当的管理策略至关重要。这项研究提供了有关 MAP 地区土壤钾动态的重要知识。
{"title":"Phosphorus distributions in alluvial soils of the Lower Mississippi River Basin: A case of dual legacies","authors":"Lindsey Witthaus, Ethan D. Pawlowski, Eric Stevens, Amitava Chatterjee, Martin A. Locke, Sarah McNamara, Matthew T. Moore","doi":"10.1002/jeq2.20623","DOIUrl":"https://doi.org/10.1002/jeq2.20623","url":null,"abstract":"Legacies can become intertwined, none more so than the body of work of Dr. Andrew Sharpley examining agricultural nutrient delivery to waterbodies and the phosphorus (P) accumulation in agricultural soils, or “legacy P.” Although Sharpley's work focused on the anthropogenic influence on soil P, our study suggests soils of the Lower Mississippi Alluvial Plain (MAP) represent a natural legacy with moderate levels of available P resulting from minimal anthropogenic input. In 2019, we collected surface (0–5 cm) soil samples from four regionally dominant soil series in either cropland or forested land uses, spanning 76 locations within the MAP. Soil chemical and physical properties were measured utilizing a suite of extractions and texture analysis to correlate properties with soil P values. Total soil P did not vary between land uses. Mehlich‐3 extractable P was slightly higher in cropland soils due to higher concentrations in Forestdale and Sharkey soils. Dundee, Forestdale, and Sharkey cropland soils showed significant associations between Mehlich‐3‐extractable iron (Fe) and P. Ratios of total carbon (TC) to total nitrogen (C:N) and TC to P (C:P) were consistent across all sampled soil series but differed between forest and cropland soils. These ratios are critical for establishing baseline soil nutrient values in simulation models and can be used to improve water quality model simulations that help guide P management in the MAP. As Sharpley routinely demonstrated, understanding sources of P is critical for developing an appropriate management strategy. This study provides critical knowledge on soil P dynamics in the MAP region.","PeriodicalId":15732,"journal":{"name":"Journal of environmental quality","volume":"24 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142215882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Qicheng Tang, Owen W. Duckworth, Daniel R. Obenour, Stephanie B. Kulesza, Nathan A. Slaton, Andrew H. Whitaker, Natalie G. Nelson
National nutrient inventories provide surplus phosphorus (P) estimates derived from county-scale mass balance calculations using P inputs from manure and fertilizer sales and P outputs from crop yield data. Although bioavailable P and surplus P are often correlated at the field scale, few studies have investigated the relationship between measured soil P concentrations of large-scale soil testing programs and inventory-based surplus P estimates. In this study, we assessed the relationship between national surplus P data from the NuGIS dataset and laboratory-measured soil test phosphorus (STP) at the county scale for Arkansas, North Carolina, and Oklahoma. For optimal periods of surplus P aggregation, surplus P was positively correlated with STP based on both Pearson (Arkansas: r = 0.65, North Carolina: r = 0.45, Oklahoma: r = 0.52) and Spearman correlation coefficients (Arkansas: ρ = 0.57, North Carolina: ρ = 0.28, and Oklahoma: ρ = 0.66). Based on Pearson correlations, the optimal surplus P aggregation periods were 10, 30, and 4 years for AR, NC, and OK, respectively. On average, STP was more strongly correlated with surplus P than with individual P inventory components (fertilizer, manure, and crop removal), except in North Carolina. In Arkansas and North Carolina, manure P was positively correlated with STP, and fertilizer P was negatively correlated with STP. Altogether, results suggest that surplus P moderately correlates with STP concentrations, but aggregation period and location-specific factors influence the strength of the relationship.
{"title":"Relationships between soil test phosphorus and county-level agricultural surplus phosphorus","authors":"Qicheng Tang, Owen W. Duckworth, Daniel R. Obenour, Stephanie B. Kulesza, Nathan A. Slaton, Andrew H. Whitaker, Natalie G. Nelson","doi":"10.1002/jeq2.20622","DOIUrl":"10.1002/jeq2.20622","url":null,"abstract":"<p>National nutrient inventories provide surplus phosphorus (P) estimates derived from county-scale mass balance calculations using P inputs from manure and fertilizer sales and P outputs from crop yield data. Although bioavailable P and surplus P are often correlated at the field scale, few studies have investigated the relationship between measured soil P concentrations of large-scale soil testing programs and inventory-based surplus P estimates. In this study, we assessed the relationship between national surplus P data from the NuGIS dataset and laboratory-measured soil test phosphorus (STP) at the county scale for Arkansas, North Carolina, and Oklahoma. For optimal periods of surplus P aggregation, surplus P was positively correlated with STP based on both Pearson (Arkansas: <i>r</i> = 0.65, North Carolina: <i>r</i> = 0.45, Oklahoma: <i>r</i> = 0.52) and Spearman correlation coefficients (Arkansas: <i>ρ</i> = 0.57, North Carolina: <i>ρ</i> = 0.28, and Oklahoma: <i>ρ</i> = 0.66). Based on Pearson correlations, the optimal surplus P aggregation periods were 10, 30, and 4 years for AR, NC, and OK, respectively. On average, STP was more strongly correlated with surplus P than with individual P inventory components (fertilizer, manure, and crop removal), except in North Carolina. In Arkansas and North Carolina, manure P was positively correlated with STP, and fertilizer P was negatively correlated with STP. Altogether, results suggest that surplus P moderately correlates with STP concentrations, but aggregation period and location-specific factors influence the strength of the relationship.</p>","PeriodicalId":15732,"journal":{"name":"Journal of environmental quality","volume":"53 6","pages":"1127-1139"},"PeriodicalIF":2.2,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jeq2.20622","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142215881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Information is needed on the effect of long-term cropping systems on greenhouse gas (GHG) emissions in dryland conditions. The effect of 34 years of dryland cropping system was examined on N2O and CH4 emissions, greenhouse gas balance (GHGB), crop yield, and yield-scaled GHG balance (YSGB) from 2016–2017 to 2017–2018 in the US northern Great Plains. Cropping systems were no-till continuous spring wheat (Triticum aestivum L.) (NTCW), no-till spring wheat-pea (Pisum sativum L.) (NTWP), and conventional till spring wheat-fallow (CTWF). Gases were sampled twice a week to once a month throughout the year using a static chamber and flux determined. Soil C sequestration rate at 0–10 cm was determined from samples taken in 2012 and 2019. The N2O emissions occurred immediately after planting, fertilization, and intense rainfall from May to September in both years when the emissions greater for NTCW and NTWP than CTWF. The CH4 emissions were minimal and mostly negative throughout the year. Carbon sequestration rate was positive for NTCW and NTWP due to greater C input, but negative for CTWF due to rapid C mineralization. As a result, GHGB was 170%–362% lower for NTCW than NTWP and CTWF. Annualized crop yield was 23%–60% greater for NTWP than NTCW and CTWF in 2016–2017, but not different among cropping systems in 2017–2018. The YSGB was also 129%–132% lower for NTCW and NTWP than CTWF in both years. Because of greater annualized crop yield, but lower GHG emissions, NTWP is recommended for reducing GHG emissions while sustaining long-term dryland crop yields in the northern Great Plains.
{"title":"Long-term continuous cropping reduces greenhouse gas emissions while sustaining crop yields","authors":"Upendra M. Sainju, Brett L. Allen, Jalal D. Jabro","doi":"10.1002/jeq2.20627","DOIUrl":"10.1002/jeq2.20627","url":null,"abstract":"<p>Information is needed on the effect of long-term cropping systems on greenhouse gas (GHG) emissions in dryland conditions. The effect of 34 years of dryland cropping system was examined on N<sub>2</sub>O and CH<sub>4</sub> emissions, greenhouse gas balance (GHGB), crop yield, and yield-scaled GHG balance (YSGB) from 2016–2017 to 2017–2018 in the US northern Great Plains. Cropping systems were no-till continuous spring wheat <i>(Triticum aestivum</i> L.) (NTCW), no-till spring wheat-pea <i>(Pisum sativum</i> L.) (NTWP), and conventional till spring wheat-fallow (CTWF). Gases were sampled twice a week to once a month throughout the year using a static chamber and flux determined. Soil C sequestration rate at 0–10 cm was determined from samples taken in 2012 and 2019. The N<sub>2</sub>O emissions occurred immediately after planting, fertilization, and intense rainfall from May to September in both years when the emissions greater for NTCW and NTWP than CTWF. The CH<sub>4</sub> emissions were minimal and mostly negative throughout the year. Carbon sequestration rate was positive for NTCW and NTWP due to greater C input, but negative for CTWF due to rapid C mineralization. As a result, GHGB was 170%–362% lower for NTCW than NTWP and CTWF. Annualized crop yield was 23%–60% greater for NTWP than NTCW and CTWF in 2016–2017, but not different among cropping systems in 2017–2018. The YSGB was also 129%–132% lower for NTCW and NTWP than CTWF in both years. Because of greater annualized crop yield, but lower GHG emissions, NTWP is recommended for reducing GHG emissions while sustaining long-term dryland crop yields in the northern Great Plains.</p>","PeriodicalId":15732,"journal":{"name":"Journal of environmental quality","volume":"53 6","pages":"1073-1085"},"PeriodicalIF":2.2,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jeq2.20627","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142215867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}