Northern Great Plains Region Research Articles

Seed dormancy, germination requirements, and implications of herbicides for Penstemon albidus and P. nitidus

Seed‐based restoration is dependent on seed germination, and poor germination can cause restoration failure. Many restoration failures can be attributed to a lack of knowledge of germination characteristics, species‐specific seed dormancy, or the effects of widely used herbicides on germination. White penstemon (Penstemon albidus) and Waxleaf penstemon (P. nitidus) are native to the Northern Great Plains region of North America, and increased germination of these species would contribute to improved restoration in the region. We performed two concurrent experiments to determine: (1) the germination requirements and dormancy class of these species; and (2) the effects of herbicides on germination. To determine germination requirements, we applied pretreatments (scarification, smoke, and KNO3) and three durations (2, 4, and 8 weeks) of cold and warm stratification. To test the effects of herbicides on germination, three commonly used herbicides (atrazine, trifluralin, and 2,4‐D) were applied at six concentrations (100, 50, 10, 1, 0.1, and 0% of the recommended field application rate). Germination characteristics indicate both species express physiological dormancy. Physiological dormancy denotes an embryo with low growth potential that is unable to overcome mechanical constraints but can be alleviated with proper temperature cues. Both species required cold stratification, with P. nitidus needing a longer period (8 weeks) than P. albidus (4 weeks). Final germination percentage of P. albidus decreased with higher doses of 2,4‐D but was not affected by atrazine or trifluralin. These experiments help to create protocol for the use of our study species, as well as other species, in restoration plantings.

Automated Cropland Fallow Algorithm (ACFA) for the Northern Great Plains of USA

ABSTRACT Cropland fallowing is choosing not to plant a crop during a season when a crop is normally planted. It is an important component of many crop rotations and can improve soil moisture and health. Knowing which fields are fallow is critical to assess crop productivity and crop water productivity, needed for food security assessments. The annual spatial extent of cropland fallows is poorly understood within the United States (U.S.). The U.S. Department of Agriculture Cropland Data Layer does provide cropland fallow areas; however, at a significantly lower confidence than their cropland classes. This study developed a methodology to map cropland fallows within the Northern Great Plains region of the U.S. using an easily implementable decision tree algorithm leveraging training and validation data from wet (2019), normal (2015), and dry (2017) precipitation years to account for climatic variability. The decision trees automated cropland fallow algorithm (ACFA) was coded on a cloud platform utilizing remotely sensed, time-series data from the years 2010–2019 to separate cropland fallows from other land cover/land use classes. Overall accuracies varied between 96%-98%. Producer’s and user’s accuracies of cropland fallow class varied between 70-87%.

Case study analysis of innovative producers toward sustainable integrated crop-livestock systems: trajectory, achievements, and thought process

Integrated crop-livestock systems (ICLS) are more complex to properly manage than specialized farming systems due to multiple interactions between crops, livestock, and grassland. Despite individual and structural barriers to adopting sustainable ICLS, some innovative producers have successfully conducted integrated production practices. In this context, a research gap exists in understanding the motivations and incentives for transitioning to such systems. This study aims to address ICLS adoption barriers by analyzing the trajectory, achievements, and thought processes of 15 producers practicing ICLS. Our objectives were to (1) highlight producers’ perceptions of ICLS levers and barriers and (2) identify turning point factors that enabled producers to overcome the barriers. We used a unique set of cases in three continental regions (southern Brazil, the northern Great Plains region in the United States, and southern France) and conducted semi-structured interviews. Interviewees emphasized that ICLS imply dealing with barriers ranging from mindset change to operational adaptations, but they also emphasized the rewarding nature of ICLS when properly managed. All their trajectories had important turning points, such as programs or initiatives, human influence, and broader social and economic reasons that resulted in shifts in their production practices and thought processes. The cases also highlighted that integrating crops and livestock positively impacted family producers’ business outcomes, soil health, and livelihood options. Still, individual barriers, including operational management, and structural barriers, including stakeholder awareness and commitment, must be overcome. Encouraging initiatives that offer a systemic approach and promote knowledge exchange can address part of ICLS adoption barriers. Initiatives must embrace a broader innovation ecosystem, having extension teams in close contact with researchers and stakeholders to assist producers in providing support for a more sophisticated level of management that ICLS require. Overall, we found commonalities in consciousness and proactiveness in remarkable cases that could inspire broader sustainability transitions.

Effect of Fungicide and Timing of Application on Management of Phoma Black Stem of Cultivated Sunflowers in the United States.

Phoma black stem (PBS), caused by Phoma macdonaldii Boerema (teleomorph Leptosphaeria lindquistii Frezzi), is the most common stem disease of sunflower (Helianthus annuus L.) in the northern Great Plains region of the United States. However, the impact of PBS on sunflower yield in the United States is unclear, and a near complete absence of information on the impact of fungicides on disease management exists. The objectives of this study were to determine the impact of PBS on sunflower yield, the efficacy of available fungicides, the optimal fungicide application timing, and the economic viability of fungicides as a management tool. Fungicide timing efficacy was evaluated by applying single and/or sequential applications of pyraclostrobin fungicide at three sunflower growth stages in 10 field trials between 2017 and 2019. Efficacy of 10 fungicides from the Fungicide Resistance Action Committee (FRAC) groups 3, 7, and 11 were evaluated in four field trials between 2018 and 2019. The impact of treatments on PBS were evaluated by determination of incidence, severity, maximum lesion height, disease severity index (DSI), and harvested yield. Nine of the 10 fungicides evaluated and all fungicide timings that included an early bud application resulted in disease reductions when compared with the nontreated controls. The DSI was negatively correlated to sunflower yield in high-yield environments (P = 0.0004; R2 = 0.3425) but not in low- or moderate-yield environments. Although FRAC 7 fungicides were generally most efficacious, the sufficient efficacy and lower cost of FRAC 11 fungicides make them more economically viable in high-yielding environments at current market conditions.

Learning to balance wheat G × E × M interactions in response to a changing climate—The case for ultra‐early planting systems

AbstractReported global reductions in cereal grain yields due to increased global average temperature combined with increasing global populations peaking near 2050 create an immediate need to increase cereal grain yield potential and reduce the yield gap between realized on‐farm grain yield and potential yield. The development of an ultra‐early planting system for spring wheat (Triticum aestivum L.) on the northern Great Plains can increase the resiliency of current growing systems to a changing climate. This was achieved through the development of a unique set of practices designed to successfully shift current wheat production systems to ultra‐early growing systems. Ultra‐early‐planted wheat‐growing systems on the northern Great Plains will provide immediate benefits to the adopting producer in the form of increased grain yield and increased grain yield stability relative to current practices. As global average temperatures warm, and atmospheric CO2 concentrations increase, the northern Great Plains region is in a unique position to potentially realize grain yield increases rather than temperature‐driven grain yield decreases. Shifting planting earlier and taking advantage of increased growing degree day accumulation and water use efficiencies while avoiding higher temperatures during sensitive physiological periods are tactics implemented in ultra‐early growing systems that will increase in importance and relevance in the next three decades as average daily temperatures increase.

The effects of genotype-by-environment interactions on body condition score across three winter supplemental feed environments in a composite beef cattle breed in Montana.

Cattle operations in the Northern Great Plains region of the United States face extreme cold weather conditions and require nutritional supplementation over the winter season in order for animals to maintain body condition. In cow-calf operations, body condition scores (BCS) measured at calving and breeding have been shown to be associated with several economically important health and fertility traits, so maintenance of BCS is both an animal welfare and economic concern. A low-to-medium heritability has been found for BCS when measured across various production stages, indicating a large environmental influence but sufficient genetic basis for selection. The present study evaluated BCS measured prior to calving (late winter) and breeding (early summer) under three winter supplementation environments in a multitrait linear mixed model. Traits were discretized by winter supplementation and genetic correlations between environments were considered a reflection of evidence for genotype-by-environment interactions between BCS and diet. Winter supplementation treatments were fed October through April and varied by range access and protein content: 1) feedlot environment with approximately 15% crude protein (CP) corn/silage diet, 2) native rangeland access with 1.8kg of an 18% CP pellet supplement, and 3) native rangeland access with a self-fed 50% CP and mineral supplement. A total of 2,988 and 2,353 records were collected across multiple parities on 1,010 and 800 individuals for prebreeding and precalving BCS, respectively. Heifers and cows came from a composite beef cattle breed developed and maintained by the USDA Fort Keogh Livestock and Range Research Laboratory near Miles City, Montana. Genetic correlations between treatments 1 and 2, 1 and 3, and 2 and 3 were 0.98, 0.78, and 0.65 and 1.00, 0.98, and 0.99 for precalving and prebreeding BCS, respectively. This provides moderate evidence of genotype-by-environment interactions for precalving BCS under treatment 3 relative to treatments 1 and 2, but no evidence for genotype-by-environment interactions for prebreeding BCS. Treatment 3 differed substantially in CP content relative to treatments 1 and 2, indicating that some animals differ in their ability to maintain BCS up to spring calving across a protein gradient. These results indicate the potential for selection of animals with increased resilience under cold weather conditions and high protein, restricted energy diets to maintain BCS.

Effects of delayed harvest on wheat quality, gluten strength, and protein composition of hard red spring wheat

AbstractBackground and ObjectivesDelayed harvest of spring wheat is a common occurrence in the Northern Great Plains region of North America, especially western Canada, as a result of inclement weather. This can have negative impacts on the yield, grade, and quality of wheat leading to financial loss for farmers and processing complications along the value chain. The objective of this study was to investigate the effects of delayed harvest on wheat quality, gluten strength, and gluten protein composition about which little is known. Four leading varieties of Western Canadian hard red spring bread wheat were grown in replicated trials at four locations, involving four harvest dates from physiological maturity to 6 weeks thereafter.FindingsDelayed harvest had a statistically significant effect on Fusarium damaged kernels (increased), grain test weight (decreased), flour ash (decreased), gluten strength (increased) measured by mixograph development time and work input to peak development, and two protein compositional factors: HMW glutenin in flour protein and ratio of HMW glutenin to soluble prolamins (both increased).ConclusionsConsidering the totality of results, apart from grade and test weight, the effects of delayed harvest on wheat quality on gluten strength, while significant, were relatively minor compared to the much larger effects of growing location and genotype. Expanding the study to include more growing locations and seasons to capture a wider range of weather conditions may be required to reveal more pronounced effects caused by harvest delays. Results emphasize the importance of harvesting wheat as soon as is practical after physiological maturity to limit degradation of grade and economic loss.Significance and NoveltyResults clarify the limited understanding of the effects of delayed harvest on wheat quality and related properties. There appear to be no previous studies specifically evaluating the effects of delayed harvest on gluten strength and protein composition of hard spring wheat, especially considering that the time frame in the present study begins at physiological maturity. Reduced grades and deterioration of grain quality as a result of post‐growing season precipitation and cooler temperatures, and weathering in general, did not result in reduced gluten strength as might be expected when harvest was delayed. The small but significant improvement in gluten strength and highly correlated increase in glutenin per unit protein for the latter two harvest dates appear to be in‐line with postharvest effects of wheat maturation.

Potential spring canola yield losses due to weeds in Canada and the United States

AbstractWeeds represent one of the most important biotic threats to agricultural plant health, and the potential global impact of weeds on crop yields is similar to that of all other pests (animal pests and pathogens) combined. Canola is the most-grown crop in Canada based on seeded area and generates on average Can$29.9 billion in economic activity each year. The objective of this report, sponsored by the Weed Science Society of America Weed Loss Committee, was to provide an updated estimate of potential yield and monetary losses due to weed interference in spring canola grown in Canada and the United States. Quantitative yield data from field experiments were provided by researchers and weed science professionals in the northern Great Plains region; the major canola-producing area of North America. Overall, 89 yield loss estimates were compiled, covering the 18-yr period from 2003 to 2020. Average canola yield losses due to weed interference in Alberta, Saskatchewan, Manitoba, and North Dakota were 35%, 30%, 18%, and 28%, respectively. Potential yield losses weighted by canola harvested area averaged 30%, 28%, and 30% for Canada, the United States, and both countries combined, respectively. Therefore, unfettered weed interference in spring canola represents a potential monetary loss of Can$2.21 billion, $0.16 billion, and $2.37 billion for farmers in Canada, the United States, and both countries combined. The realization of such losses could manifest through continued selection for herbicide-resistant weeds, indicating the critical need for canola farmers to diversify resistance selection pressures by implementing proactive integrated weed management programs.

Virulence Phenotypes of the Wheat Leaf Rust Pathogen, Puccinia triticina, in the United States from 2018 to 2020.

Collections of wheat leaves infected with the leaf rust fungus, Puccinia triticina, were obtained from the southeastern states, the Ohio Valley, the Great Plains, and Washington in 2018, 2019, and 2020 to determine the prevalent virulence phenotypes in the wheat-growing regions of the United States. In the hard red winter wheat region of the southern and mid Great Plains, MNPSD and MPPSD were the two most common phenotypes in 2018 and 2019. In 2020, BBBQD with high virulence to durum wheat was the most common phenotype in the southern Great Plains. In the hard red spring wheat region of the northern Great Plains, MNPSD, MPPSD, MBDSD, and TBBGS were the predominant phenotypes. In the soft red winter wheat region of the southeastern states and Ohio Valley region, MBTNB, MCTNB, and MNPSD were the three most common phenotypes. Collections in Washington had phenotypes LBDSG, LCDSG, LCDJG, and MBDSB that were not found in any other region. Isolates with virulence to the leaf rust resistance (Lr) gene Lr11 were most frequent in the southeastern states and Ohio Valley regions. The frequency of isolates with virulence to the Lr39 gene was highest in the Great Plains region and frequency of isolates with virulence to the Lr21 gene was highest in the northern Great Plains region. Selection of virulence phenotypes by Lr genes in the different market classes of wheat, combined with the effects of clonal reproduction, overwintering in southern regions, and low migration between the Great Plains region and eastern wheat-producing regions, has maintained the different P. triticina populations in the United States.

Patterns in Cheatgrass Abundance in Foothills Grasslands in Montana

Cheatgrass (Bromus tectorum L.) is an invasive, exotic annual grass that exerts substantial negative ecological and economic influence in many of the ecosystems it invades. Cheatgrass has been extensively studied in the Great Basin region of North America where most precipitation comes in winter and early spring and the vegetation consists primarily of cool-season species and cespitose graminoid growth forms. However, much less research has been performed in the northern Great Plains region where precipitation comes primarily in spring and summer, supporting a mixture of cool and warm season plant species and both sod-forming and cespitose graminoid growth forms. In order to better understand cheatgrass ecology in the northern Great Plains region, we modeled cheatgrass abundance in relation to disturbance, vegetation, and site characteristics in two grassland locations in Montana. Multimodel inferences based on large generalized linear mixed-effects regression were used to identify variables important in predicting cheatgrass abundance. Our results suggest that cheatgrass appears to favor droughty site conditions associated with either coarser soil textures, shallower soils, or south-facing aspects. However, cheatgrass can exhibit extremely high abundances on more productive sites if disturbance creates an opportunity for invasion. Across all sites, it appears that soil disturbance can generate increased cheatgrass abundance and land management that promotes robust and vigorous vegetation and maximizes spatial and temporal niche occupancy should be encouraged to limit cheatgrass invasion and expansion.

Tree Advisor: A Novel Woody Plant Selection Tool to Support Multifunctional Objectives

Purposefully planted trees and shrubs can provide multiple benefits when appropriately planned and designed. Tools to help select species that will function more effectively than other species for ecosystem services, production, and aesthetic purposes are generally lacking. To address this challenge, we developed an interactive plant selection tool entitled Tree Advisor that rates woody species for a wide range of different purposes based on plant attributes. In this prototype decision support tool, 90 species of trees and shrubs are rated for 14 different purposes in the northern and central Great Plains region of the United States. A rating algorithm was developed based on the scientific literature regarding plant functions and related attributes that determine relative performance of a species for each purpose. User input and best practices for developing effective decision support tools informed the tool development process. Based on user feedback, the tool supports multifunctional planning and enables a user to quickly develop a short list of the better species to use which can then be refined by the user based on suitability under local site conditions, commercial availability, and availability of locally adapted cultivars and hybrids. This tool development approach can serve as a model for producing multifunctional woody plant selection tools for other ecoregions.

Responses of leached nitrogen concentrations and soil health to winter rye cover crop under no-till corn-soybean rotation in the northern Great Plains.

Winter rye (Secale cereale L.) is an important cover crop (CC) in the northern Great Plains (NGP), yet concerns over its establishment under the variable weather conditions of this region are an important limitation for its widespread adoption. This study evaluated the impacts of no-till corn (Zea mays L.)-soybean [Glycine max (L.) Merr.] rotation with winter rye CC established in 2017 on (a) water quality (nitrate-N [NO3 - -N], ammonia-N [NH4 + -N], and total nitrogen [TN]) and (b) soil health parameters at the 0-to-15-cm depth. Data showed that rye CC biomass was 251kg ha-1 in 2018, 1,213kg ha-1 in 2019, and 147kg ha-1 in 2020, coinciding with contrasting growing degree days for rye CC (i.e., 1,458, 2,042, and 794, respectively), as a consequence of variable weather conditions. Water quality was not affected for the periods when rye growth was<300kg ha-1 . In the season when rye CC had greater biomass (1,213kg ha-1 ), significant reductions in leached NO3 - -N (19-20%) and TN (8.5-16%) concentrations were observed due to greater N uptake by rye CC (18.8kg N ha-1 ). Rye CC showed significantly (p ≤ .05) higher microbially active carbon ( ∼13%) and water-extractable organic N(∼11%) than the control treatment. Nonsignificant impacts on soil health indicators due to rye CC showed that the study duration (3 yr) may not be sufficient to see the beneficial impacts of CCs on soils. However, significant reductions in leached NO3 - -N and TN concentrations for one (2019) out of three study years suggest that rye with optimal growth has the potential of reducing N leaching and enhancing soil health for the NGP region.

Plant disease threats to food security in the Northern Great Plains of North America

AbstractPlant disease epidemics are responsible for millions of tons of yield loss from crops annually. To provide sufficient nutritious food, feed, fiber, and fuel for a growing world human population on a non‐expanding land resource, yield loss caused by plant pathogens must be minimized. The Northern Great Plains (NGP) region of the United States is a major crop‐producing region, but crop production in this region is threatened by climate variability, new pathogen or pathogen race development, limited in‐field management practices, pathogen synergism, and fungicide resistance in some fungal pathogens. To sustain stable food, feed, fiber, and fuel production from plants, concerted efforts from all stakeholders must be harnessed to develop new varieties that are resistant to plant pathogens and less sensitive to climate variability, promote use of integrated disease management (that incorporates resistant/tolerant varieties, plant disease prediction, and accurate disease diagnosis and assessment), and enhance early detection capabilities of new pathogens/races. Here, we review the current and near‐future likely plant disease epidemic concerns in the NGP of the United States and propose some actions to prevent or lessen the extent of the next plant disease epidemic development.

Kidney Transplant Outcomes in Indigenous People of the Northern Great Plains of the United States

Indigenous people experience higher rates of end-stage renal disease as well as negative predictive factors that undermine kidney transplantation (KT) success. Despite these inequalities, data suggest that short-term outcomes are comparable to those of other groups, but few studies have examined this effect in the Northern Great Plains (NGP) region. We performed a retrospective database review to determine outcomes of KT in Indigenous people of the NGP. White and Indigenous people receiving a KT between 2000 and 2018 at a single center were examined. A total of 622 KT recipients were included (117 Indigenous and 505 White). Indigenous patients were more likely to smoke, have diabetes, have higher immunologic risk, receive fewer living donor kidneys, and have longer waitlist times. In the 5 years after KT there were no significant differences in renal function, rejection events, cancer, graft failure, or patient survival. At 10 years posttransplant, Indigenous patients had twice the all-cause graft failure (odds ratio=2.06; 95% confidence interval, 1.25-3.39) and half the survival rate (odds ratio=0.47; 95% confidence interval, 0.29-0.76); however, this effect was not maintained once the effects of race, sex, smoking status, diabetes, preemptive transplant, high panel reactive antibody status, and transplant type were adjusted for. KT outcomes in Indigenous patients in the NGP region are similar to those of White patients 5 years posttransplant, with differences emerging at 10 years that could be diminished with greater emphasis on correcting modifiable risk factors.

Improving WRF-Chem meteorological analyses and forecasts over aerosol polluted regions by incorporating NAAPS aerosol analyses

AbstractWhen unaccounted for in numerical weather prediction (NWP) models, heavy aerosol events can cause significant unrealized biases in forecasted meteorological parameters such as surface temperature. To improve near-surface forecasting accuracies during heavy aerosol loadings, we demonstrate the feasibility of incorporating aerosol fields from a global chemical transport model as initial and boundary conditions into a higher resolution NWP model with aerosol-meteorological coupling. This concept is tested for a major biomass burning smoke event over the Northern Great Plains region of the United States that occurred during summer of 2015. Aerosol analyses from the global Navy Aerosol Analysis and Prediction System (NAAPS) are used as initial and boundary conditions for Weather Research and Forecasting with Chemistry (WRF-Chem) simulations. Through incorporating more realistic aerosol direct effects into the WRF-Chem simulations, errors in WRF-Chem simulated surface downward shortwave radiative fluxes and near-surface temperature are reduced compared with surface-based observations. This study confirms the ability to decrease biases induced by the aerosol direct effect for regional NWP forecasts during high-impact aerosol episodes through the incorporation of analyses and forecasts from a global aerosol transport model.

An Environmental Assessment of Cattle Manure and Urea Fertilizer Treatments for Corn Production in the Northern Great Plains

HighlightsThe Integrated Farm System Model appropriately represented average emission rates measured in corn production.Compared to the use of feedlot manure, application of bedded pack manure generally increased N and P losses.Compared to inorganic fertilizer use, cattle manure increased soluble P loss while reducing GHG emission.Production and environmental differences among production systems were similar under recent and future climates.Abstract. Nitrogen (N), phosphorus (P), and carbon (C) emissions from livestock systems have become important regional, national, and international concerns. Our objective was to use process-level simulation to explore differences among manure and inorganic fertilizer treatments in a corn production system used to feed finishing cattle in the Northern Great Plains region of the U.S. Our analysis included model assessment, simulation to compare treatments under recent climate, and comparisons using projected midcentury climate. The Integrated Farm System Model was evaluated in representing the performance and nutrient losses of corn production using cattle manure without bedding, manure with bedding, urea, and no fertilization treatments. Two-year field experiments conducted near Clay Center, Nebraska; Brookings, South Dakota; and Fargo, North Dakota provided observed emission data following these treatments. Means of simulated emission rates of methane, ammonia, and nitrous oxide were generally similar to those observed from field-applied manure or urea fertilizer. Simulation of corn production systems over 25 years of recent climate showed greater soluble P runoff with use of feedlot and bedded manure compared to use of inorganic fertilizers, but life-cycle fossil energy use and greenhouse gas emission were decreased. Compared to feedlot manure, application of bedded pack manure generally increased N and P losses in corn production by retaining more N in manure removed from a bedded housing facility and through increased runoff because a large portion of the stover was removed from the cornfield for use as bedding material. Simulation of these treatments using projected midcentury climate indicated a trend toward a small increase in simulated grain production in the Dakotas and a small decrease for irrigated corn in Nebraska. Climate differences affected the three production systems similarly, so production and environmental impact differences among the fertilization systems under future climate were similar to those obtained under recent climate. Keywords: Climate change, Greenhouse gas, Integrated Farm System Model, Nutrient losses.

An Application of GIS-Linked Biofuel Supply Chain Optimization Model for Various Transportation Network Scenarios in Northern Great Plains (NGP), USA

Industrial oilseed and lignocellulosic crops can be produced on marginal lands. These advanced biofuel feedstock crops are critical to increase the production of renewable liquid fuels. However, rural areas with significant, existing amounts of available marginal cropland have spartan infrastructure, and it is costly to transport feedstocks and bioproducts within and from these regions. Therefore, it is important to consider varied feedstock and co-product transportation network options and supply chain optimization. This study applied a supply chain optimization model linked with geographical information system (GIS) developed using mixed-integer linear programming (MILP) for the northern Great Plains (NGP) region. An investigation on the influence of petroleum product pipeline usage and/or new infrastructure development on supply chain optimization was performed, and optimum routes were suggested. Four different multimodal transport routes of oilseed, biodiesel, livestock meal, and the capacities of biodiesel plants were evaluated for cost optimization. Selective rural rail infrastructure redevelopment of abandoned lines and strategically improving connectivity by adding 380 km of line could reduce biofuel transportation costs by up to 38%. Using existing petroleum pipeline in Montana reduced costs of biofuel transport; however, pipelines had little effect within the Dakotas. Railroad construction was the most effective mechanism to reduce transportation costs in both North and South Dakota. Variables such as transloading and construction costs, topographical constraints, and transportation network boundary could be used to further improve the optimization model and results.

Lessons Learned from the 2017 Flash Drought across the U.S. Northern Great Plains and Canadian Prairies

AbstractThe 2017 flash drought arrived without early warning and devastated the U.S. northern Great Plains region comprising Montana, North Dakota, and South Dakota and the adjacent Canadian Prairies. The drought led to agricultural production losses exceeding $2.6 billion in the United States, widespread wildfires, poor air quality, damaged ecosystems, and degraded mental health. These effects motivated a multiagency collaboration among academic, tribal, state, and federal partners to evaluate drought early warning systems, coordination efforts, communication, and management practices with the goal of improving resilience and response to future droughts. This essay provides an overview on the causes, predictability, and historical context of the drought, the impacts of the drought, opportunities for drought early warning, and an inventory of lessons learned. Key lessons learned include the following: 1) building partnerships during nondrought periods helps ensure that proper relationships are in place for a coordinated and effective drought response; 2) drought information providers must improve their understanding of the annual decision cycles of all relevant sectors, including, and beyond, direct impacts in agricultural sectors; and 3) ongoing monitoring of environmental conditions is vital to drought early warning, given that seasonal forecasts lack skill over the northern Great Plains.

Do the Quality and Quantity of Honey Bee-Collected Pollen Vary Across an Agricultural Land-Use Gradient?

Pollen is the source of protein for most bee species, yet the quality and quantity of pollen is variable across landscapes and growing seasons. Understanding the role of landscapes in providing nutritious forage to bees is important for pollinator health, particularly in areas undergoing significant land-use change such as in the Northern Great Plains (NGP) region of the United States where grasslands are being converted to row crops. We investigated how the quality and quantity of pollen collected by honey bees (Apis mellifera L. [Hymenoptera: Apidae]) changed with land use and across the growing season by sampling bee-collected pollen from apiaries in North Dakota, South Dakota, and Minnesota, USA, throughout the flowering season in 2015-2016. We quantified protein content and quantity of pollen to investigate how they varied temporally and across a land-use gradient of grasslands to row crops. Neither pollen weight nor crude protein content varied linearly across the land-use gradient; however, there were significant interactions between land use and sampling date across the season, particularly in grasslands. Generally, pollen protein peaked mid-July while pollen weight had two maxima in late-June and late-August. Results suggest that while land use itself may not correlate with the quality or quantity of pollen resources collected by honey bees among our study apiaries, the nutritional landscape of the NGP is seasonally dynamic, especially in certain land covers, and may impose seasonal resource limitations for both managed and native bee species. Furthermore, results indicate periods of qualitative and quantitative pollen dearth may not coincide.

Looking to the future: key points for sustainable management of northern Great Plains grasslands

The grasslands of the northern Great Plains (NGP) region of North America are considered endangered ecosystems and priority conservation areas yet have great ecological and economic importance. Grasslands in the NGP are no longer self‐regulating adaptive systems. The challenges to these grasslands are widespread and serious (e.g. climate change, invasive species, fragmentation, altered disturbance regimes, and anthropogenic chemical loads). Because the challenges facing the region are dynamic, complex, and persistent, a paradigm shift in how we approach restoration and management of the grasslands in the NGP is imperative. The goal of this article is to highlight four key points for land managers and restoration practitioners to consider when planning management or restoration actions. First, we discuss the appropriateness of using historical fidelity as a restoration or management target because of changing climate, widespread pervasiveness of invasive species, the high level of fragmentation, and altered disturbance regimes. Second, we highlight ecosystem resilience and long‐term population persistence as alternative targets. Third, because the NGP is so heavily impacted with anthropogenic chemical loading, we discuss the risks of ecological traps and extinction debt. Finally, we highlight the importance of using adaptive management and having patience during restoration and management. Consideration of these four points will help management and restoration of grasslands move toward a more successful and sustainable future. Although we specifically focus on the NGP of North America, these same issues and considerations apply to grasslands and many other ecosystems globally.