Landscape Position Research Articles

Sustaining eastern oak forests: Synergistic effects of fire and topography on vegetation and fuels.

Across much of the eastern United States, oak forests are undergoing mesophication as shade-tolerant competitors become more abundant and suppress oak regeneration. Given the historical role of anthropogenic surface fires in promoting oak dominance, prescribed fire has become important in efforts to reverse mesophication and sustain oaks. In 2000 we established the Ohio Hills Fire and Fire Surrogate (FFS) study to examine whether repeated prescribed fire (Fire), mechanical partial harvest (Mech), and their combined application (Mech + Fire) reduced the dominance of subcanopy mesophytic competitors, increased the abundance of large oak-hickory advance regeneration, created a more diverse and productive ground-layer flora, and produced fuel beds more conducive to prescribed fire, reducing the risk of high-severity wildfire. Here we report on the ~20-year effects of treatments on vegetation and fuels and examine the support for interactive effects across a topographic-moisture and energy gradient. In general, we found that Fire and Mech + Fire treatments tended to reverse mesophication while the Mech-only treatment did not. The moderate and occasionally high-intensity fires resulted in effects that were ultimately very similar between the two fire treatments but were modulated by topography with increasing fire severity on drier sites. In particular, we found support for an interaction effect between treatment and topography on forest structure and tree regeneration responses. Fire generally reduced mesophytic tree density in the midstory and sapling strata across all site conditions, while leading to substantial gains in the abundance of large oak-hickory advance regeneration on dry and intermediate landscape positions. Fire also promoted ground-layer diversity and created compositionally distinct communities across all site conditions, primarily through the increased richness of native perennial herbs. However, the fire had limited effects on fine surface fuel loading and increased the loading of large woody fuels, potentially increasing the risk of high-severity wildfire during drought conditions. We conclude that two decades of repeated fires, with and without mechanical density reduction, significantly shifted the trajectory of mesophication across most of the landscape, particularly on dry and intermediate sites, highlighting the capacity of a periodic fire regime to sustain eastern oak forests and promote plant diversity but modulated by topography.

Dynamics of soil quality in a conserved landscape in the highland sub humid ecosystem, Northwestern Ethiopia

Several studies have assessed the dynamics of soil quality induced by soil and water conservation (SWC), but many showed disagreement over the efficacy of SWC interventions in the Ethiopian highlands. This study used a before and after soil and water conservation practices (SWCP) comparison approach to evaluate the effect of SWCP on soil quality dynamics. Fifty-four composite and 10 undisturbed soil samples were collected in 2012 (before SWCP) and 2022 (after SWCP). Statistical mean, analysis of variance, and principal component analysis were applied to test the significant differences among treatments. The findings demonstrated that SWCP has significantly improved most of the soil quality indicators such as soil organic matter, total nitrogen, available phosphorous, pH, total porosity, field capacity, and available water, and reduced the value of bulk density and coarse fragments. The interaction effect of landscape position and types of structures provided statistically significant results for soil organic matter, total nitrogen, magnesium, calcium, and base saturation. Soil and stone-faced soil bunds treated at lower landscapes were superior in improving soil quality attributes. The soil quality indexing showed, the overall soil quality improvement as a result of SWCP was about 32.15%. The level of improvement for different SWCPs was 32% for stone faced soil bunds and 33% for soil bunds. The findings revealed that SWCP implementation can improve soil quality. Soil organic matter is a key biological quality component that contributed 25% to the soil quality index and highly impacted soil physicochemical properties. We suggest additional assessment of best and integrated land management practices to ensure further improvement in soil quality, crop productivity, and ecosystem services in the subhumid ecosystems.

Impacts of stocking densities on soil biochemical and microbial properties in a mixed-grass prairie ecosystem at two landscape positions

Grazing management is a critical land-use requirement that facilitates the preservation of plant community composition, soil properties and environmental quality. Grazing density of livestock has a significant impact on soil health, and there is a need to study the interactions of grazing densities and topographical positions influencing soil biochemical and microbial properties. This study was conducted at Cottonwood Field Station in Philip, South Dakota to assess the influence of more than 7 years of low, medium, and high grazing stocking densities (0.33, 0.41, 0.72 animal units/ac, respectively) at summit and footslope landscape positions on soil carbon (C) and nitrogen (N) fractions, microbial community composition, and enzymatic activities in a mixed-grass prairie ecosystem. Medium grazing density showed a 16% increase in soil N at the footslope compared with summit. Low grazing density significantly reduced microbial biomass C (~269 μg g−1 soil) and N (~26 μg g−1 soil) at summit compared with other grazing densities and landscape positions, except, the summit at high grazing density. Medium grazing density significantly enhanced hot-water extractable N by 21–23% at footslope compared with low grazing density at the footslope and high grazing density at the summit. Low grazing density increased urease (3.64 μg NH4+ g−1 soil h−1) at footslope than all other grazing densities and landscape positions. Low grazing density enhanced β-glucosidase by 75% than high grazing density; alkaline phosphatase was significantly greater by 60% at footslope than summit. High grazing density at the summit decreased total PLFA (mean 56.53 nmol g−1 soil) due to lower AM fungi, G (+), G (−) and actinomycetes biomass. Microbial stress indicators such as G (+)/G (−), saturated/unsaturated, monosaturated/polysaturated, GNeg stress revealed that high grazing density especially at summit position posed elevated physiological stressed conditions to the microbial community. Overall, long-term medium grazing density of 0.41 animal units/ac may enhance soil N, microbial composition, microbial biomass C and N, hot-water extractable C and N fractions, and reduce stress conditions for microbial community at both footslope as well as summit landscape positions. Moreover, long-term overgrazing of pastures, particularly at summit slopes, appears to inhibit microbial populations and degrade overall soil health.

Multi-level deep Q-networks for Bitcoin trading strategies

The Bitcoin market has experienced unprecedented growth, attracting financial traders seeking to capitalize on its potential. As the most widely recognized digital currency, Bitcoin holds a crucial position in the global financial landscape, shaping the overall cryptocurrency ecosystem and driving innovation in financial technology. Despite the use of technical analysis and machine learning, devising successful Bitcoin trading strategies remains a challenge. Recently, deep reinforcement learning algorithms have shown promise in tackling complex problems, including profitable trading strategy development. However, existing studies have not adequately addressed the simultaneous consideration of three critical factors: gaining high profits, lowering the level of risk, and maintaining a high number of active trades. In this study, we propose a multi-level deep Q-network (M-DQN) that leverages historical Bitcoin price data and Twitter sentiment analysis. In addition, an innovative preprocessing pipeline is introduced to extract valuable insights from the data, which are then input into the M-DQN model. A novel reward function is further developed to encourage the M-DQN model to focus on these three factors, thereby filling the gap left by previous studies. By integrating the proposed preprocessing technique with the novel reward function and DQN, we aim to optimize trading decisions in the Bitcoin market. In the experiments, this integration led to a noteworthy 29.93% increase in investment value from the initial amount and a Sharpe Ratio in excess of 2.7 in measuring risk-adjusted return. This performance significantly surpasses that of the state-of-the-art studies aiming to develop an efficient Bitcoin trading strategy. Therefore, the proposed method makes a valuable contribution to the field of Bitcoin trading and financial technology.

A Comparative Analysis of Generic Drug Assessment and Regulatory Approval in the USA, Europe and India.

The Abbreviated New Drug Application (ANDA) is used for the regulatory submission of generic drugs, which are pharmaceutical equivalents to brand-name drugs and distributed without patent protection. Different countries have their own regulatory requirements for the approval of generic drugs, enforced by authorities such as the CDSCO in India, EDQM in Europe, and USFDA in the United States. This review aims to compare the regulatory processes and requirements for generic drug approval in India, Europe, and the US, highlighting key differences and challenges. The involvement of regulatory authorities in the drug development process is crucial for expediting approval and addressing queries, helping to minimize delays. The Common Technical Document (CTD) format is employed across regions to harmonize submission requirements. This study underscores the differences in dossier submission for generics across the three regions, illustrating India's position in the global generic drug approval landscape. By comparing approval requirements, this work provides insight into the hurdles India must overcome to streamline its approval process. The ANDA allows generic manufacturers to submit bioequivalence studies, using the original innovator's safety and efficacy data. However, obtaining approval simultaneously from multiple regulatory authorities remains a challenging task. Careful review of regulatory documents by skilled personnel can reduce regulatory queries, ultimately accelerating the market launch of generic drugs. This review provides a comprehensive overview of the generic drug approval process, emphasizing the need for harmonization and improved efficiency in India's regulatory framework.

Strategic Analysis of Tesco's International Purchasing and Supply Chain Management: Challenges, Opportunities, and Future Directions

This review paper examines Tesco's international purchasing and supply-chain management strategies, focusing on its operations and strategic initiatives. Tesco, a prominent global retailer, faces significant challenges and opportunities in a competitive market environment. Through a SWOT analysis, Tesco's strengths in efficient logistics and expansive market reach are highlighted, alongside weaknesses such as environmental sustainability concerns and operational inefficiencies. The study also explores Tesco's value chain, emphasizing its primary activities like inbound logistics and outbound distribution, as well as supporting activities such as human resource management and technological innovations like RFID. Future challenges, including environmental sustainability and market expansion in Asia and Africa, are discussed, with recommendations provided to enhance Tesco's sustainable development and competitive position in the global retail landscape.

REVIEW OF ADVANCING U.S. INNOVATION THROUGH COLLABORATIVE HR ECOSYSTEMS: A SECTOR-WIDE PERSPECTIVE

This paper provides a review of the collaborative HR ecosystems involving government, business, academia, and practitioners in the U.S. It assesses the impact of these collaborations on national innovation, their role in setting global HR standards, and their contribution to strengthening the U.S.'s position in the global economic landscape. In the pursuit of advancing innovation within the United States, the collaborative synergy within Human Resources (HR) ecosystems emerges as a pivotal factor. It delves into the intricate dynamics of fostering innovation through collaborative HR ecosystems from a sector-wide perspective. By examining various industries, the paper explores how the collective efforts of HR professionals, organizational leaders, and diverse stakeholders contribute to the cultivation of innovation. The analysis encompasses the strategic role of HR in talent management, the impact of collaborative approaches on workforce diversity and inclusion, and the integration of cutting-edge technologies such as Artificial Intelligence (AI) in shaping the future of HR practices. Additionally, the review addresses the challenges and ethical considerations associated with collaborative HR ecosystems and provides insights into potential strategies for overcoming these hurdles. By presenting a sector-wide perspective, this review aims to illuminate the multifaceted landscape of collaborative HR ecosystems and their profound influence on fueling innovation across diverse industries within the United States.
 Keywords: Human Resources, Artificial Intelligence, USA, Innovation, Ecosystem.

Migrant community resource persons as bricoleurs of family support

AbstractFamilies from migrant backgrounds are found to generally underutilize mainstream child and family support services and recourse more to their social networks and community‐based actors for support. This article explores the role of migrant community resource persons (CRPs). Drawing on the novel concept of welfare bricolage, the study sought to unravel CRPs' take on family support and their position in the family support landscape beyond the dominant framing as instrumental intermediaries. Semi‐structured in‐depth interviews were conducted with 27 CRPs in Flanders, Belgium, to which thematic analysis was applied. This thematic analysis was guided by key principles of welfare bricolage. The findings add to the existing knowledge that CRPs creatively and flexibly shape community‐based family support outside and independent of the predefined, mainstream pathways. CRPs seek to strengthen families and their communities by purposefully assembling and deploying a wide range of resources from various support systems. The findings expand the notion of family support, what it is and who provides it, and thus provide an impetus to reconsider child and family social work in superdiverse settings. This article therefore informs government authorities and formal and informal actors working to support family welfare.

Features of the soil aciditification dynamics in agricultural landscape

The results of long-term monitoring of the spatial dynamics of soil acidification within the terminal moraine hill are presented. The studies were carried out in 1996-2020. on the agro-ecological transect (VNIIMZ, Tver region) - an array crossing the landscape positions of the hill, consisting of 10 fields with an individual history. The exchangeable acidity of soils was determined at 30 sampling points, regularly located in each field at 40 m from each other. We used pHKCl data for 1996 and 2020 and acidification indicators determined as the difference in the values of soil exchange acidity at the beginning and end of observations. Statistical processing consisted in revealing the influence of anthropogenic and natural factors on soil acidification. It was found that the soils were significantly acidified during extensive farming. In 1996-2020 the average exchangeable acidity decreased by 0.6 (0.023 per year), but the soils did not move out of the slightly acidic category, which will take another 10 years. The spatial variability of pH significantly decreased: strongly acidic and neutral soils disappeared from the soil cover. It has been established that the landscape determines 34% of the spatial variability of soil acidification, and anthropogenic factors determine 26%. There are 4 groups of territories in the agrolandscape, significantly differing in the degree of soil acidification, which is explained by the heterogeneity of the relief and parent rocks. According to the diversity of anthropogenic impact, 5 groups of fields are distinguished, where differences in soil acidification are due to their history. In general, it is impossible to single out an anthropogenic factor in the agrolandscape that significantly affects the degree of soil acidification, however, the impact is noticeable on individual substowlands, which allows developing measures to reduce the intensity of this degradation factor. It is recommended to develop crop rotations within the tops of the hills and not to place fallows, hayfields and hatching fields with eastern goat's rue. On the middle, lower parts of the slopes and in inter-hill depressions, it is not recommended to place winter and cover crops.

Estimation of annual soil CO2 efflux under the erosion and deposition conditions by measuring and modeling its respiration rate in southern China

Soil respiration (Rs) is a crucial ecological process of carbon (C) cycling in the terrestrial ecosystems, and soil erosion has a significant impact on its C budget and balance. However, the variations of Rs rate and their CO2 efflux induced by erosion are currently poorly understood. To this end, four landscape positions (top, up, middle and toe) with different erosional and depositional characteristics were selected on a typical eroded slope in southern China to conduct field experiments, aiming to explore the effects of erosion and deposition on Rs among various sites. From March 2021 to February 2022, the in-situ Rs were measured using an automated soil respiration system, together with soil temperature at 5 cm depth (Ts5) and water content at 10 cm depth (SWC10). We initially constructed various Rs models across a one-year period, based on its relationships with Ts5 and SWC10. Subsequently, the seasonal changes of Rs at different erosional sites were simulated by the optimum models, and their annual CO2 fluxes were further estimated. The results showed that Rs rates at all sites displayed a bimodal seasonal pattern, with the highest values in May and August. And the measured Rs of the eroding and depositional sites were 0.05–7.71 and 1.47–13.03 μmol m−2 s−1, respectively. Also, remarkably higher Ts5 and SWC10 were observed in depositional sites versus the eroding sites (P < 0.05). Additionally, Rs rates at all sites were positively correlated with SOC and Ts5, but negatively correlated with SWC10. Herein, Rs models to single- and double-variable were established at different positions, and we found that the fitted R2 and AIC differed on various sites, primarily in erosional and depositional sites. Furthermore, through the best-fitting models (higher R2 and lowest AIC) we screened, the average Rs values of 3.03 and 4.46 μmol m−2 s−1 were quantitatively estimated for the eroding and depositional sites, respectively. Finally, it could be further assessed that the mean annual soil CO2–C efflux of eroded site (1104.14 g m−2) was significantly lower than that of depositional site (1629.46 g m−2). These findings highlighted the effect of erosion and deposition on Rs, which will facilitate a better understanding of C cycling in terrestrial ecosystems.

THE INTERNET COVERAGE IN UZBEKISTAN SERVES AS A PRIMARY SOURCE OF INFORMATION FOR THE FOURTH INDUSTRIAL REVOLUTION

This article explores Uzbekistan's recognition of the significance of the fourth industrial revolution and the crucial role of internet connectivity in integrating transformative technologies such as AI, big data, cloud computing, and IoT. The country has made substantial investments in technology and infrastructure to support this revolution. However, this article goes beyond the emphasis on quantity and delves into the importance of fostering quality internet users and improving internet coverage in Uzbekistan. By focusing on both the quantity and quality of internet access, Uzbekistan aims to create an environment conducive to innovation, entrepreneurship, and digital skills development. The analysis presented in this article sheds light on the country's efforts to maximize the benefits of the digital economy by ensuring widespread and reliable internet access, empowering individuals with digital literacy, and fostering a competitive position in the global digital landscape.

Slope position controls prescribed fire effects on soil: a case study in the high-elevation grassland of Itatiaia National Park

ABSTRACT There is a need for greater knowledge about the medium- and long-term effects of prescribed fire management on soil in ecosystems prone to wildfires and more vulnerable to climate change. This study examined the short- and medium-term effects of prescribed fire on soil chemical properties and chemical fractions of soil organic matter (SOM) in two positions of the landscape in a high-elevation grassland environment. The ecosystem is located in the mountain peaks of southeastern Brazil associated with the Atlantic Forest biome. Prescribed fire was conducted in 2017 to reduce understory vegetation and thus prevent potential severe wildfires. Soil samples were collected at the layers of 0.00-0.10, 0.10-0.20, and 0.20-0.40 m, at eight composite sampling. The composite samples were collected on five different occasions: before the prescribed fire, and 10, 30, 90, and 240 days after the prescribed fire. Soil chemical properties, total organic carbon, labile C, and chemical fractionation of SOM were analyzed. All soil properties investigated were affected by the prescribed fire, with variations in landscape position, duration of effect, and soil layer. In the backslope area, the medium-term effect of fire was negative and induced soil degradation and induced soil degradation. In the footslope area, the system showed greater resilience to the effects of fire, as indicated by the recovery of the soil’s chemical properties. These results can help assess the suitability of controlled burning of vegetation for managing risks of fire in mountainous regions, such as high-elevation grasslands.

Linking soil adsorption-desorption characteristics with grain zinc concentrations and uptake by teff, wheat and maize in different landscape positions in Ethiopia

AimZinc deficiencies are widespread in many soils, limiting crop growth and contributing to Zn deficiencies in human diets. This study aimed at understanding soil factors influencing grain Zn concentrations and uptake of crops grown in different landscape positions in West Amhara, Ethiopia.MethodsOn-farm experiments were conducted in three landscape positions, with five farmers’ fields as replicates in each landscape position, and at three sites. Available Zn from the soil (Mehlich 3, M3, Zn) and applied fertilizer (NET_FERT Zn, estimated based on adsorption/desorption characteristics and applied Zn) were related to the actual grain Zn concentration and uptake of teff, wheat, and maize. Zinc fertilizer treatments tested were Zn applied at planting (basal), basal plus side dressing and a control with no Zn applied.ResultsZn treatments had a significant effect on grain Zn concentration (increase by up to 10%) but the effect on grain yield was variable. Differences in crop Zn concentrations along the landscape positions were observed but not at all sites and crops. Trial results showed that soils with higher soil pH and Soil Organic Carbon (SOC) (typical of footslope landscape positions) tended to adsorb more applied Zn (reduce NET_FERT Zn) than soils with lower soil pH and SOC (typical of upslope landscape positions). Zn availability indicators (M3, NET_FERT Zn, clay%) explained 14-52% of the observed variation in grain Zn concentrations, whereas macronutrient indicators (Total N, exchangeable K) together with M3 Zn were better in predicting grain Zn uptake (16 to 32% explained variability). Maize had the lowest grain Zn concentrations but the highest grain Zn uptake due to high yields.ConclusionWe found that the sum of indigenous and fertilizer Zn significantly affects grain Zn loadings of cereals and that the associated soil parameters differ between and within landscape positions. Therefore, knowledge of soil properties and crop characteristics helps to understand where agronomic biofortification can be effective.

A Review on the Impacts of Toposequence on Soil Properties

This study demonstrates the significant influence of toposequence position on soil properties and hydrological conditions, affecting crop yield. Variations in toposequence position lead to differences in soil properties; physical and chemical properties may vary minimally or maximally depending on the slope’s location. As slope increases, soil moisture and organic carbon rise, while bulk density, pH, and soil temperature decrease. Soils along a toposequence reveal that landscape position, erosion, aspect, and drainage impact soil depth, particle size distribution, and CEC. Understanding topography’s influence on soil characteristics is crucial for evaluating soil productivity and devising conservation strategies. This knowledge is essential for assessing soil value and avoiding uneven input distribution in agricultural fields on diverse terrains. This review paper summarizes the impacts of toposequence on soil physical and chemical properties. The study utilized databases such as Google Scholar, African Journals Online (AJOL), Scopus, Web of Science, ScienceDirect, and Directory of Open Access Journals (DOAJ) to identify relevant studies.

NLRP3 Inflammasome: Key Role in the Pathophysiology of Cardiac Disorders and its Potential as a Therapeutic Target

Abstract: The NLRP3 inflammasome holds a pivotal position in the pathophysiological landscape of cardiac disorders, presenting itself as a promising therapeutic target. Central to this role are the proinflammatory cytokines Interleukin (IL)-1 and IL-18, which emerge as major players orchestrated by the activation of the NLRP3 inflammasome. This activation culminates in pyroptosis, a programmed form of cell death. While controlled activation of NLRP3 supports tissue repair, its excessive activation yields adverse consequences. Within the spectrum of cardiovascular diseases, ranging from abdominal aortic aneurysm to calcific aortic valve disease, the NLRP3 inflammasome is notably implicated. Atherosclerosis, myocardial infarction, diabetic cardiomyopathy, heart failure, and dilated cardiomyopathy collectively contribute to the genesis of inflammatory conditions. Key to this process is the nucleotide oligomerization domain-containing leucine-rich repeat protein 3 (NLRP3) inflammation, necessitating both priming and activation signals to orchestrate inflammation. Extensive scientific evidence substantiates the critical role of the NLRP3 inflammasome in cardiac disorders. Experimental models and clinical studies converge, highlighting its contribution to the intricate web of inflammatory pathways that underlie cardiac pathologies. This deeper understanding has spurred interest in targeting the NLRP3 inflammasome as a therapeutic avenue. Efforts to modulate the NLRP3 inflammasome are underway, aiming to temper its hyperactivity without disrupting its beneficial functions. Strategies involve small molecule inhibitors and biological agents, targeting various points along the signaling cascade. By selectively intervening in the NLRP3 pathway, researchers aspire to mitigate inflammatory responses, potentially ameliorating the progression of cardiac disorders. In conclusion, the NLRP3 inflammasome is a central orchestrator in the pathophysiology of diverse cardiac disorders. Its dual nature, capable of both driving repair and provoking harm, accentuates its significance as a therapeutic target. Scientific endeavors are actively unraveling its complexities, fostering the development of innovative interventions that could potentially revolutionize the management of cardiac inflammatory conditions.

Landscape-based nutrient application in wheat and teff mixed farming systems of Ethiopia: farmer and extension agent demand driven approach

IntroductionAdapting fertilizer use is crucial if smallholder agroecosystems are to attain the sustainable development goals of zero hunger and agroecosystem resilience. Poor soil health and nutrient variability characterize the smallholder farming systems. However, the current research at the field scale does not account for nutrient variability across landscape positions, posing significant challenges for targeted nutrient management interventions. The purpose of this research was to create a demand-driven and co-development approach for diagnosing farmer nutrient management practices and determining landscape-specific (hillslope, mid-slope, and foot slope) fertilizer applications for teff and wheat.MethodA landscape segmentation approach was aimed to address gaps in farm-scale nutrient management research as well as the limitations of blanket recommendations to meet local nutrient requirements. This approach incorporates the concept of interconnected socio-technical systems as well as the concepts and procedures of co-development. A smart mobile app was used by extension agents to generate crop-specific decision rules at the landscape scale and forward the specific fertilizer applications to target farmers through SMS messages or print formats.Results and discussionThe findings reveal that farmers apply more fertilizer to hillslopes and less to mid- and foot slopes. However, landscape-specific fertilizer application guided by crop-specific decision rules via mobile applications resulted in much higher yield improvements, 23% and 56% at foot slopes and 21% and 6.5% at mid slopes for wheat and teff, respectively. The optimized net benefit per hectare increase over the current extension recommendation was $176 and $333 at foot slopes and $159 and $64 at mid slopes for wheat and teff (average of $90 and $107 for wheat and teff), respectively. The results of the net benefit-to-cost ratio (BCR) demonstrated that applying landscape-targeted fertilizer resulted in an optimum return on investment ($10.0 net profit per $1.0 investment) while also enhancing nutrient use efficiency across the three landscape positions. Farmers are now cognizant of the need to reduce fertilizer rates on hillslopes while increasing them on parcels at mid- and foot-slope landscapes, which have higher responses and profits. As a result, applying digital advisory to optimize landscape-targeted fertilizer management gives agronomic, economic, and environmental benefits. The outcomes results of the innovation also contribute to overcoming site-specific yield gaps and low nutrient use efficiency, they have the potential to be scaled if complementing innovations and scaling factors are integrated.

Intermittent Prairie Streams in the Northern Great Plains: A Case of an Undervalued Ecosystem

Small (&amp;lt;15 m wide), intermittent prairie streams in western South Dakota, a semiarid part of the northern United States, are undervalued ecosystems because they do not exemplify the values of classic, flowing streams. However, they are valuable as wildlife corridors, aquatic habitat for drought-adapted species, and support of local grazing economies. We surveyed 90 streams in 2018–2019, collecting data on geomorphic, water chemistry, and biological properties, focusing on vegetation and grazing impacts. We developed an approach for categorizing streams by landscape position and flow regime to facilitate appropriate land management and stream restoration actions. The result was a published landowner guide to provide information on low-tech riparian management and restoration options of the four stream types we categorized. The headwaters streams and woody draws with drainage areas &amp;lt;26 km2 are the most abundant types and exemplify the issues described above. Large rivers, despite drainage areas exceeding 260 km2 can go dry. Management issues include invasive plant species, lack of woody riparian establishment, poor water quality, overgrazing, channel incision, and water stress from climate change. The most cost-effective management practices involve rotational grazing and practices that reduce cattle impacts. More recently, beaver dam analogs have been installed and beaver reintroduction is being considered along with reestablishment of native bison herds in place of cattle. Intermittent prairie streams present an excellent case study of an undervalued ecosystem, illustrating the challenges and opportunities of such systems. Engagement of grazing landowners can improve stewardship of these systems.

Influence of landscape position and climatic seasonality on soil water and gas conductivity properties in agricultural soils

Agricultural landscape management and climate seasonality can influence soil structure, hydraulic conductivity, and air permeability within the context of soil water and soil gas mobility. To investigate this, in situ and laboratory-based data were collected from three agricultural landscape positions within a watershed in eastern Ontario, Canada during a growing season. Macropore classification, water infiltration tests, and air permeability measurements were conducted in situ and standard soil characterizations were carried out on soil samples. Hydraulic conductivity of the soil matrix, based on grain size data, indicated that the highest values were consistently measured in the B horizon at each landscape setting. Macropores were found to be more abundant within uncultivated drainage ditch bank soils, compared to the adjacent cropped fields. Macropores in the ditch bank soils were exclusively consisted of circular biopores, while both circular and linear macropores were observed in the cultivated field soils. Air permeability, vertical hydraulic conductivity, and horizontal hydraulic conductivity were also greater in the uncultivated soils, relative to the cultivated soils. Field saturated hydraulic conductivity measurements offered evidence of anisotropy, likely due to the vertical nature of the macropore features. Macropore disposition and extent varied over the growing season, especially in the cultivated field soils where tillage and field trafficking are physically disruptive. Seasonality of macropore development will influence temporal changes in advection-based mass exchange of gas and water in the vadose zone. Modeling of mass exchange in agricultural soils should consider time variability in macroporosity to more realistically characterize infiltration and soil gas emissions.

Water-stable aggregation among untilled and intensively tilled soils with similar contents of aggregating agents in central Ohio, USA

Organic carbon (OC), permanganate-oxidizable carbon (POXC), and autoclaved citrate-extractable (ACE) proteins are utilized as soil quality indicators due in part to their positive relationships with water-stable aggregation (WSA). Tillage-induced losses of WSA are oftentimes attributed to decreases in these soil constituents. The objective of the present study was to explain differences in WSA existing between tilled and untilled cropland soils through comparing the soils in terms of these and other aggregating agents. We examined WSA and a suite of related properties on conventional tillage (CT) and no-tillage (NT) soils of an Epiaqualf-Argiaquoll association along a low-relief hillslope in central Ohio, USA. Overall, WSA was strongly correlated (r > 0.7, P < 0.05) with OC, POXC, and ACE proteins, but when concentrations were similar between NT and CT soils for these constituents, most notably at the toeslope position, WSA was consistently greater for the NT soil. Statistically controlling for the effect of these individual WSA covariates did not change this result. Results suggest that heightened WSA for the NT vs. the CT soil may be due to the greater water repellency of the former when other aggregating agents are equivalent between tillage regimes. These findings suggest that soil quality evaluators should measure WSA directly rather than rely on inferences based on organic constituents, especially when working with CT soils from poorly drained, depositional landscape positions.

Landscape and Micronutrient Fertilizer Effect on Agro-Fortified Wheat and Teff Grain Nutrient Concentration in Western Amhara

Agronomic biofortification, encompassing the use of mineral and organic nutrient resources which improve micronutrient concentrations in staple crops is a potential strategy to promote the production of and access to micronutrient-dense foods at the farm level. However, the heterogeneity of smallholder farming landscapes presents challenges on implementing agronomic biofortification. Here, we test the effects of zinc (Zn)- and selenium (Se)-containing fertilizer on micronutrient concentrations of wheat (Triticum aestivum L.) and teff (Eragrostis tef (Zucc.) Trotter) grown under different landscape positions and with different micronutrient fertilizer application methods in the western Amhara region of Ethiopia. Field experiments were established in three landscape positions at three sites, with five treatments falling into three broad categories: (1) nitrogen (N) fertilizer rate; (2) micronutrient fertilizer application method; (3) sole or co-application of Zn and Se fertilizer. Treatments were replicated across five farms per landscape position and over two cropping seasons (2018 and 2019). Grain Zn concentration ranged from 26.6 to 36.4 mg kg−1 in wheat and 28.5–31.2 mg kg−1 in teff. Grain Se concentration ranged from 0.02 to 0.59 mg kg−1 in wheat while larger concentrations of between 1.01 and 1.55 mg kg−1 were attained in teff. Larger concentrations of Zn and Se were consistently attained when a foliar fertilizer was applied. Application of ⅓ nitrogen (N) yielded significantly larger grain Se concentration in wheat compared to a recommended N application rate. A moderate landscape effect on grain Zn concentration was observed in wheat but not in teff. In contrast, strong evidence of a landscape effect was observed for wheat and teff grain Se concentration. There was no evidence for any interaction of the treatment contrasts with landscape position except in teff, where an interaction effect between landscape position and Se application was observed. Our findings indicate an effect of Zn, Se, N, landscape position, and its interaction effect with Se on grain micronutrient concentrations. Agronomic biofortification of wheat and teff with micronutrient fertilizers is influenced by landscape position, the micronutrient fertilizer application method and N fertilizer management. The complexity of smallholder environmental settings and different farmer socio-economic opportunities calls for the optimization of nutritional agronomy landscape trials. Targeted application of micronutrient fertilizers across a landscape gradient is therefore required in ongoing agronomic biofortification interventions, in addition to the micronutrient fertilizer application method and the N fertilizer management strategy.