Abstract
Rangelands support managed and endemic pollinator communities, but the way that cattle are managed in these habitats affects floral resources and habitat suitability. We placed honey bee colonies on continuously and regeneratively grazed rangelands. Regenerative rangelands had relatively higher stocking rates, animals were moved into new paddocks more frequently, and the rangeland was allowed to rest after grazing for longer than continuously grazed areas. Rangeland plant community characteristics measured monthly during the growing season included forage biomass, flowering species richness, and abundance of flowers. Monthly measurements of colony weight gain, brood production, and Varroa mite abundance were recorded. Regeneratively managed rangelands had more flowering species and greater flower abundance, and floral species richness was correlated with colony weight gain. Specifically, minimum floral species richness (indicative of periods of resource scarcity) were more influential to hive weight gain than periods of greater floral richness. Plant biomass was positively associated with brood production, and negatively associated with Varroa incidence. Rangeland pasture management was associated with the abundance and composition of the flowering plant communities, which in turn were associated with the health and productivity of honey bee colonies stationed at these sites. Our results suggest that regeneratively managed rangelands offer a tool for conserving and promoting honey bees in this region.
Introduction
Managed pollinators are in decline in the United States ([). These declines have led to insufficient pollination of human food crops (). Beekeepers have reported annual hive losses of 59% over the past 50 years (). To compensate for these losses, beekeepers devote more resources into requeening, splitting colonies and starting new colonies. The result is that the number of colonies globally has been maintained to accommodate the increased demand for pollination (), but many large, commercial beekeepers struggle to stay in business. European honey bees (Apis mellifera L.) are social insects and rely exclusively on flowers for nectar and pollen, and thus are strongly influenced by habitat management that affects floral resources (). Relative to other bee species, honey bees are generalist feeders, and while they have distinct floral preferences, they generally benefit from non-specific floral resource increases. Rangelands are an important habitat that supports honey bees better than other agricultural landscapes (). Indeed, one of the stressors on honey bee populations and the beekeeping industry is habitat loss (), and rangeland management practices that simplify resident plant communities contribute to this habitat loss (; ).
More than one quarter of the planet’s land area is used for livestock grazing (; ). Because lands devoted to grazing are so extensive and require fewer mechanical and chemical inputs compared to cropland, they provide different ecosystem services through their support of wildlife and humans (). Season-long or year-long stocking is a common form of livestock management on rangelands in the U.S. (). This continuous grazing is characterized by low stocking rates of livestock that are allowed to freely disperse within an entire pasture, which ranges in size from a few acres to many thousands of acres (). Continuous grazing is commonly implemented due to its relatively low investments in labor, water, fencing, and transportation (). In addition to low input costs, evidence suggests that cattle (Bos taurus) gain weight more quickly when allowed access to their preferred forage in a continuously grazed pasture, which in turn may increase profits for ranchers (). However, sustained continuous grazing can lead to the degradation of ecosystem services that healthy rangelands may provide to wildlife, such as species richness, esthetic value, soil health, and pollination services (; ; ; ; ; , ). Ultimately, long-term usage of continuous grazing can lead to land degradation through desertification, woody encroachment, or deforestation ().
Regenerative grazing employs a series of farm-adapted practices that emulate the role of grazers in natural systems in ways that promote sustainability, soil health, and wildlife conservation (; ; , ). This approach to grazing incorporates elements of various rotational grazing systems, (e.g., adaptive multi-paddock grazing; planned grazing, holistic grazing), that allow intensively grazed areas to subsequently rest and recover (; ). Regenerative grazing management relies on the division of larger pastures into smaller paddocks, allowing the rancher more control over where and when cattle exert grazing pressure onto the plant communities. Paddock placement allows for finer control and can help exclude cattle from sensitive ecosystems such as riparian zones (). A central component of such systems is the limiting of grazing pressure long enough to allow plant communities to recuperate within a growing season.
Regenerative rangeland management may build soil carbon (), increase water infiltration rates (), and reverse the damage done by continuous stocking through improved plant community diversity (). This style of rangeland management may also enhance ecosystem services such as dung pat degradation and parasite reductions (; ; , ). Furthermore, increasing flowering plant diversity in rangelands through grazing practices can support biodiversity, including insects (; ; ), birds (), and mammals (). Previous work has shown that rangeland management that encourages flower communities increases pollinator abundance (), which may increase the relevance of grazing lands in pollinator conservation and promotion (). The interplay between rangeland management and associated floral resources on honey bees remains poorly understood.
Here we examined the effects of rangeland management on honey bee colony health and productivity in the Northern Great Plains region of the U.S. Many of the nation’s honey bee colonies spend the summer in the Northern Great Plains (i.e., North and South Dakota) (). The eastern portion of the Northern Plains was historically tallgrass prairie (). While much of the tallgrass prairie has been converted into cropland (), over half of South Dakota remains in rangeland, many of which are still short- mixed-, and tall-grass prairies ([). South Dakota grasslands support 9.6% of the nation’s domestic honey production ([). In turn, honey bees and native pollinators help to promote plant diversity () that supports livestock health (). In this study, we tested the hypotheses that (1) floral community structure (floral abundance, species richness, and plant biomass) differs between two rangeland management regimes, (2) honey bee colony health and productivity (hive weight gain, Varroa mite [Varroa destructor] abundance, and brood abundance) varies among regenerative and continuously grazed rangelands, and (3) we tested whether floral community structure was correlated with honey bee health and productivity.
Materials and methods
Site selection
In 2021 and 2022, rangeland sites included in the study represented a range of management practices that were categorized into regenerative (n = 6; 3 in 2021 and 3 in 2022) and continuous (n = 10; 3 in 2021 and 7 in 2022) grazing systems based on a scoring system (; ). Scores for each site ranged between 0 points (continuously grazed with low stocking densities) and 8 points (maximum regenerative practices); for this study, we designated all scores 4 and above as regenerative. The design was unbalanced because site selection was made at the beginning of the growing seasons based on preliminary management discussions with the ranchers. But scores were assigned at the end of the season, and sometimes management differed from the early season plans. In regenerative management, there were often multiple short grazing periods during a season, and the relative timing of these grazing events within the span of regenerative rangelands may have affected the biological communities that were observed. Specific management situations and mean regenerative scores for these two treatments are presented in Table 1, and locations of participating ranches are presented in Figure 1. Participating ranchers (n = 12) managed their stocking density, paddock size, and cattle breed in order to best fit their management goals, and the stocking rate was comparable between grazing treatments on average. Rainfall in this region is approximately 715 mm annually, and average annual temperature is approximately 12.9°C. Ranchers did not plant pasture species as a normal part of their management, relying on existing plants of the region. Historic vegetation of the region was characterized as a transition between Northern mixed-and tall-grass prairies, and exotic cool-season grasses (Bromus inermis and Poa pratensis) have come to dominate many rangelands of the region ().
Table 1
| Management | Scores (n) | Animal units | Paddock size (ha) | Stocking density (AU/ha) | Rotation time (d on pasture per graze) | Rest time (d/growing season) | Ivermectin use (# of applications per yr) |
|---|---|---|---|---|---|---|---|
| Continuous | 1.4 ± 0.37 (10) | 83.2 ± 21.5 | 48.8 ± 10.8 | 2.02 ± 0.50 | Season long | 13.2 ± 9.50 | 2 ± 0 |
| Regenerative | 6.0 ± 0.52 (6) | 85.1 ± 19.9 | 12.14 ± 4.57 | 12.35 ± 5.92 | 9.17 ± 2.89 | 100.3 ± 50.3 | 0.87 ± 0.23 |
Distinguishing characteristics of regenerative and continuously grazed rangelands.
Management practices of cattle operations were scored 0–2 based, with higher numbers reflecting practices that promote biodiversity and soil quality. Ivermectin application frequency was divided into multiple applications (0), single application not during grazing season (1), and no ivermectin use (2). Stocking density (animal units; AU; one cow and one 6-mo-old calf or equivalent) was divided into <5 AU/ha (0), 5–10 AU/ha (1), and >10 AU/ha (2). Rotation frequency was divided into >30 d rotation (0), 10–30 d rotation (1), and <10 d rotation (2). Rest period was considered as continuously grazed during the growing season (0), a rest period of 1–30 d (1), and a rest of > 30 d (2). All values presented are mean ± SEM.
Figure 1
Rangeland plant community assessments
Within each site, four areas were randomly selected for floral counts that were at least 25 m from the rangeland margin, and at least 25 m from each other. Coinciding with monthly hive assessments from June–September, a 50 m transect was placed in each of the four areas; transects were spaced at least 25 m from each other and any rangeland margin. Floral resources were assessed along each transect using a modified Pollard walk technique (). The number of flowers and buds open or estimated to open within 5 days was enumerated, within 1 m on either side of the transect line. Each individual bud and flowerhead on plants such as Echinacea spp. were counted as individual flowers, and composite flowers such as Solidago were counted as one flower. For more detail on floral counts performed in this manner, see . Flowers that had lost their petals or begun to brown were not counted. To generate floral species richness and abundance, each flowering plant was identified to the lowest taxonomic level possible (typically species) (). In addition to flowering plant stem counts, plant biomass was estimated monthly from July–September using a drop plate meter (). Readings (n = 25) were recorded every 2 m along each 50 m transect.
Honey bee colony management and assessments
In 2021, 90 colonies of European honey bee (Apis mellifera L.) were in equal abundance on the six sites (n = 15 replicate hives per site) across central Eastern South Dakota (Figure 1). In 2022, 80 colonies were in equal abundance on 10 new sites. Prior to this, 5-frame nucleus colonies (Bird and the Bees LLC, Iola, WI, USA) were transferred to standardized 10-frame Langstroth deep boxes and comb (25 cm tall) and provisioned with feeder frames at Blue Dasher Farm, Estelline, SD. Colonies were transported to the sites in early June 2021 and 2022. Colonies were assigned to sites to ensure that initial hive weights were equivalent between treatments; the disparity between initial mean weights of colonies at a site was <5%. Colony sets were then randomly assigned and deployed to each site. Colony measurements, including the area of capped (pupating) brood, Varroa mite infestation rate, and colony weight were assessed monthly from June through September. Colonies were not treated for Varroa mites throughout the summer of either year. In 2021, bees were fed 500 mL 1:5 honey water every 2 weeks, and bees in 2022 were not given supplemental feed. Shallow honey supers (15 cm tall) were added every 2 weeks throughout the season as needed, and no honey was removed prior to weighing.
Brood assessments
Brood strength (i.e., the area of capped brood in each colony) was estimated by adapting the scoring system of the Bee Informed Partnership’s Commercial Beekeeping Guide to the three central frames of the brood box (). Capped brood populations on both sides of the frame were rated 0–5. Frames received a ranking of 0 if no capped worker brood was present, and up to a score of 5 if the frame was covered in capped worker brood. During brood assessments, the presence of a queen or eggs (indicative of a queen) was also recorded. Drone brood was not included in the brood assessment. A summed brood ranking per colony per sampling date was generated from these observations.
Varroa infestation rate assessments
Varroa mites were counted in each hive using ether rolls (2021) or alcohol wash (2022) methods (). Bees (n ≈ 100 per hive) were collected from the outer-most frame of the brood box. If no bees were present on this frame, bees were collected from the penultimate frame. Bees were gently scraped into a 118 mL plastic cup that contained a small quantity of ether (SuperTech engine starting fluid, Dunn, NC, USA). Samples for the alcohol-wash method were frozen at −20°C, after which Varroa mites were washed from the dead bees into 120 mL of 70% ethanol. The bees were separated from the Varroa mites using a 3 mm sieve, allowing mites to wash through. The number of bees and mites were counted, and the number of Varroa per 100 bees (percent infestation rate) was calculated.
Hive weights
Each colony was weighed individually using a digital hanging scale (Modern Step, ASIN B01N25OC6P, Seattle, WA, USA) mounted onto a custom lift. The weight of the hive and the number of honey supers were recorded each month. The summed weight of honey, bees, and wax was later estimated by subtracting the average weight of the empty equipment.
Data analysis
The effects of rangeland management on seasonal flowering plant community characteristics (flower stem abundance, flowering plant species richness, and plant biomass) and hive health and productivity parameters (colony weight gain, Varroa infestation rate, and brood strength) were examined per site first using rm-ANOVA with sample date as the within-subjects factor and rangeland management as the between-subjects factor. In these analyses, sites from the two sample years were pooled. In some cases, we pooled response variables across sample dates to generate a single, season-long perspective of the data that was assessed using a linear mixed model on hive-level data, with treatment as a fixed factor and site as a random factor. For plant communities and hive health and productivity, maximum and minimum values refer to the seasonal maximum peak and minimum trough in the different response variables. In cases of seasonal sums, within a site the data were averaged for a particular month, and these dates were aggregated into a seasonal sum. Univariate linear regression analysis was used to compare trends in hive performance and plant community characteristics on these season-wide parameters (results not presented in the text are presented in Table 2). For all statistical tests, results were accepted as significant at α = 0.05, and marginal significance was assigned as α = 0.10. All data were analyzed using Systat 13.1 (Grafiti, Palo Alto, CA, USA).
Table 2
| Grazing management | |||
|---|---|---|---|
| Hive parameter | Continuous | Regenerative | Statistical output |
| Seasonal weight gain (kg) | 16.72 ± 2.71 | 26.14 ± 4.76 | Trmt: F1, 143 = 3.93, p = 0.05 |
| Seasonal maximum weight gain (kg) | 31.53 ± 2.32 | 37.40 ± 3.51 | Trmt: F1, 144 = 2.33, p = 0.13 |
| Hive weights (kg) | 20.65 ± 0.84 | 22.95 ± 1.05 | Trmt: F1, 14 = 0.57, p = 0.46; month: F3, 42 = 37.41, p < 0.001; interaction: F3, 42 = 1.39, p = 0.26 |
| Seasonal maximum brood abundance (brood score/5 frames) | 20.00 ± 0.30 | 19.57 ± 0.42 | F1, 142 = 0.30, p = 0.58 |
| Brood abundance (brood score/5 frames) | 57.52 ± 1.16 | 56.49 ± 1.44 | Trmt: F1, 14 = 0.03, p = 0.86; month: F3, 42 = 7.66, p < 0.001; interaction: F3, 42 = 0.81, p = 0.50 |
| Seasonal maximum Varroa abundance (mites/100 bees) | 5.80 ± 0.62 | 5.54 ± 0.52 | F1, 142 = 0.02, p = 0.89 |
| Varroa abundance (mites/100 bees) | 2.37 ± 0.24 | 2.20 ± 0.22 | Trmt: F1, 14 = 0.25, p = 0.63; month: F3, 42 = 53.91, p < 0.001; interaction: F3, 42 = 0.06, p = 0.98 |
The effects of grazing management on hive health and performance in rangelands of eastern South Dakota.
Data is summed across monthly samples collected on 10 continuously grazed and 6 regenerative rangelands. Values represent means ± SEM. Rm-ANOVA was used to compare the effects of grazing treatment and month on hive weights, brood abundance, and Varroa counts. A Linear mixed model was used to compare treatments using seasonal data.
Results
Grazing management and plant community response
Over the 2 years of sampling, more than 176,979 flowers from 142 taxa were enumerated from these plant communities. The most frequently encountered taxa (those found at 12 or more sites) were white heath aster (Aster ericoides), Canada thistle (Cirsium arvense), musk thistle (Carduus nutans), black medick (Medicago lupulina), gumweed (Grindelia squamosa), and Canada goldenrod (Solidago canadensis). The five most frequently encountered flowers on continuously grazed sites were alfalfa (Medicago sativa; 18.89% of flowers), Canada goldenrod (15.05%), Canada thistle (11.77%), leafy spurge (Euphorbia esula; 8.97%), heath aster (6.59%); on regenerative sites they were heath aster (16.19%), Canada goldenrod (13.31%), white sweet clover (Melilotus albus; 10.49%), alfalfa (8.64%), and black medick (5.52%). Floral abundance and flowering species richness were higher in regeneratively grazed sites than in continuously grazed sites (Figure 2), and floral species richness significantly decreased later in the season on regenerative sites but species richness increased on continuously grazed sites as the season progressed (Figure 2; Table 3). Plant biomass was unaffected by grazing management (Table 3). There was a positive linear relationship between pasture rest and number of flowering species counted (Linear regression: F1,14 = 20.17; p = 0.001).
Figure 2
Table 3
| Grazing management | |||
|---|---|---|---|
| Plant community parameter | Continuous | Regenerative | Statistical output |
| Floral abundance (mean of sum) | 8,219.7 ± 2,211 | 15,797 ± 3,344 | Trmt: F1, 14 = 3.89, p = 0.07; month: F3, 42 = 0.24, p = 0.87; interaction: F3, 42 = 0.10, p = 0.10 |
| Species count (mean) | 19.7 ± 3.94 | 40.5 ± 6.65 | Trmt: F1, 14 = 10.52, p = 0.006; month: F3, 42 = 2.80, p = 0.05; interaction: F3, 42 = 1.90, p = 0.14 |
| Biomass (g/m2) | 39.9 ± 3.55 | 37.86 ± 3.67 | Trmt: F1, 14 = 0.15, p = 0.71; month: F3, 56 = 2.14, p = 0.11; interaction: F3, 56 = 0.11, p = 0.95 |
The effects of grazing management on floral community characteristics in rangelands of eastern South Dakota.
Data is summed across monthly samples collected on 10 continuously grazed and 6 regenerative rangelands to generate a seasonal mean. Values represent means ± SEM. Rm-ANOVA was used to compare the effects of grazing treatment and month on aspects of the plant community. Monthly data for floral abundance and species richness is displayed in Figure 2.
Grazing management and colony health and productivity
Hives on regeneratively managed sites had marginally greater weight gain over the season than those raised on continuously grazed sites. Local grazing management did not affect monthly honey bee hive weights between continuously and regeneratively grazed sites (Table 3). Brood and Varroa mite abundances were unaffected by grazing management, but varied significantly over the season (Table 2). Peak brood production occurred in July (mean ± SEM; 14.20 ± 0.46, 15.84 ± 0.48, 14.66 ± 0.44, and 10.72 ± 0.47 were the brood scores on three frames in June, July, August, and September, respectively). Varroa abundance started low and steadily increased as the season progressed (1.21 ± 0.14, 1.14 ± 0.16, 2.02 ± 0.22, and 5.12 ± 0.43 Varroa mites/100 bees in June, July, August, and September, respectively). The maximum brood and Varroa abundances attained over the season were unaffected by grazing management (Table 2).
Plant community and honey bee health and productivity
Minimum plant species richness and minimum plant biomass were correlated with hive weight gain, and plant biomass was correlated with brood and Varroa mite abundances (Table 4). Minimum plant species richness was positively correlated with seasonal hive weight gain, and increasing minimum plant biomass was correlated with diminishing hive weight gain. When we examined the relationships between floral species richness on hive weight gain independently for the two treatments, there was a significant positive effect of floral richness in the continuously grazed rangelands, but this same relationship was not seen in the regenerative rangelands (Figure 3). Plant biomass had a positive relationship with capped brood abundance, and a negative correlation with Varroa mite abundance (Figure 4). Floral abundances, and maximum and mean plant floral richnesses were not correlated with hive health or performance. Maximum and mean plant biomass did not have a significant impact on hive weight gains.
Table 4
| Plant parameter | Hive parameter | Statistical output | Linear fit to significant correlations |
|---|---|---|---|
| Minimum species richness | Weight gain | F1, 14 = 9.31, p = 0.009; r2 = 0.40 | Weight gain = 1.60 + 14.78 × minimum plant species richness |
| Maximum species richness | Weight gain | F1, 14 = 1.16, p = 0.30 | |
| Mean species richness | Weight gain | F1, 14 = 2.45, p = 0.14 | |
| Species richness | Varroa abundance | F1, 14 = 0.03, p = 0.74 | |
| Species richness | Brood abundance | F1, 14 = 0.49, p = 0.50 | |
| Minimum biomass | Weight gain | F1, 14 = 4.43, p = 0.05; r2 = 0.24 | Weight gain = 1.90–36.48 × minimum plant biomass |
| Maximum biomass | Weight gain | F1, 14 = 0.37, p = 0.56 | |
| Mean biomass | Weight gain | F1, 14 = 2.31, p = 0.15 | |
| Mean biomass | Varroa abundance | F1, 14 = 16.44, p = 0.001; r2 = 0.54 | Varroa abundance = 17.06–0.95 × plant biomass |
| Mean biomass | Brood abundance | F1, 14 = 22.48, p = 0.001; r2 = 0.62 | Brood abundance = 33.86 + 0.55 × plant biomass |
| Minimum floral abundance | Weight gain | F1, 14 = 2.01, p = 0.18 | |
| Maximum floral abundance | Weight gain | F1, 14 = 3.25, p = 0.09 | |
| Mean floral abundance | Weight gain | F1, 14 = 2.80, p = 0.12 | |
| Floral abundance | Brood abundance | F1, 14 = 1.85, p = 0.20 | |
| Floral abundance | Varroa | F1, 14 = 0.07, p = 0.80 |
Relationships between plant community structure and hive performance on different rangelands in eastern South Dakota.
Data was collected on 16 rangelands.
Figure 3
Figure 4
Discussion
We found positive effects of rangeland management and associated plant communities on hive performance and health. Regenerative rangelands were associated with more species rich and abundant floral communities, but forage biomass was unaffected by rangeland management. We also found that honey bee colonies had greater weight gain when they were raised on regeneratively grazed rangelands, but Varroa and brood abundance were unaffected by rangeland management. Finally, hive weight increased as the minimum floral species richness observed over the season in a pasture increased. And as plant biomass on sites increased, hives had greater brood production and lower pest densities. This research reinforces the importance of rangelands in supporting honey bee health (, ), but adds to the dialogue that regenerative rangeland management increases the magnitude of benefit.
Grazing management was distinct between treatments. Compared to continuously grazed rangelands, regeneratively grazed sites had smaller, more densely stocked paddocks which were grazed for a shorter duration, and these paddocks experienced more rest from grazing during the growing season. The rested regenerative pastures responded with an increased number of flowering plant species, an overall increase in flowers, and a distinct floral community dominated by a different suite of species. Increased flower abundance is positively tied to pollinator performance (; ; ). Regenerative grazing practices can increase bloom abundance and richness through at least two mechanisms: first by directly stimulating plant reproduction and regrowth (; ), and indirectly by improving soil health (). Intense grazing for short durations promotes the grazing-adapted plant communities that populated the prairie ecosystems, and opens new niches and microclimates necessary for plant diversification (; ; ). The saliva of animals is a growth stimulant for some of these plant species (), and the intensity of grazing can help to reduce invasive, weedy species that reduce diversity on pastures (; ). Resting the pasture allows members of the plant community to reach flowering life stages that often are not attainable in continuously grazed operations (). As there may be a cumulative grazing effect over time, grazing over the past 5–10 years could have an important effect on a focal year’s plant community; all ranches here were managed for at least 5 years in a similar way as the study year to help reduce this variability. Simpler plant communities were observed on continuously grazed pastures, and a decrease in forbs that reached a flowering stage (approximately half the flowers were present in continuously grazed sites versus regenerative sites; Table 3). Regenerative grazing can also improve soil health metrics such as water infiltration rate, soil organic carbon sequestration, soil structure, and nutrient retention (, ), all of which support plant diversification and health ().
Although floral resources were greater on regeneratively grazed sites, the amount of forage biomass available to grazers was not affected through regenerative grazing. This was supported by , who found no differences in forage biomass between rotationally grazed plots (with greater biodiversity) and continuously grazed plots. Although rotational grazing system was not entirely representative of regenerative grazing, the trends in forage biomass are consistent with our observations. This similarity in forage biomass between grazing systems may have been a caveat in how we measured biomass using a compression plate. We observed that dead plant matter (duff) was generally greater in continuously grazed pastures. This is an observation that was made in another study as well (). Duff was included in the measurement of forage biomass, and it is possible that regenerative pastures produced more living biomass than continuously grazed ones, despite similar overall plant biomass quantities between treatments.
The floral communities associated with regenerative rangeland management were correlated with greater season-long, cumulative honey bee health and productivity. Seasonal weight gain per hive over the season was greater on the regenerative sites. We hypothesize that hive health and performance is particularly influenced by whether there was scarcity in floral species richness over the season; periods of famine had season-long effects on honey bee colony growth. This concept is supported by our data that showed a significant positive relationship between minimum floral species richness and hive weight gain over the season, particularly in continuously grazed rangelands that had lower floral species richness (Figure 3). Thus, when resources are scarce, minimum floral abundances may be a more important predictor of hive growth than average floral abundances. Others have found that floral resource availability was correlated with improved honey production in rangelands and other agroecosystems (; ; ). Also, when the area and quality of floral resources are increased (using pollinator strips), colonies gain more weight (). These increases in floral abundance may also improve the physiological status of the colony (), and influence colony outcomes of pathogen and parasite exposures (; ). In contrast, we found that plant biomass, but not floral richness nor abundance, was correlated with fewer Varroa mites and increased brood production (Figure 4). Brood production and honey bee immune responses are often tied to pollen availability and quality (; ); if plant communities with greater biomass produced more pollen than nectar (e.g., grass dominated), then it is possible that we did not capture the full diversity of pollen availability in these habitats. In turn, this might explain why brood production would increase with plant biomass, and hive weight (i.e., honey) might be more sensitive to floral resource availability. Finally, in addition to affecting the overall flowering community, we hypothesize that regenerative grazing patterns increased the abundance of plant species that are particularly important in the nutritional ecology of honey bees. While we did not assess the nutritional differences of pollen types, certain plants (e.g., sunflower; Helianthus annuus) confer Varroa mite resistance and tolerance in honey bees (). The floral communities on regeneratively managed rangelands had greater dominance by sweet clover and Canada goldenrod than continuously grazed sites.
In sum, management of the rangelands significantly altered flowering plant communities, and these flowering plant communities were associated with honey bee health and productivity. Regenerative grazing selected for more diverse and abundant flowering communities, with comparable plant biomass and forage quantity for cattle. This response in floral species richness in turn was associated with greater season-long, cumulative colony weight gain, and forage biomass was closely associated with increased colony productivity and reduced mite infestations. These associations are correlations that could be bi-directional in nature. We hypothesize a positive feedback loop exists in this system that is mediated by the plant community, where regenerative grazing management produces a more robust plant community that supports honey bee health, and these honey bees in turn support a stronger plant community that increases livestock performance. Future research in this system should explore the potential of this positive feedback loop to understand how honey bees may help support healthy plant communities.
Statements
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors without undue reservation.
Ethics statement
The manuscript presents research on animals that do not require ethical approval for their study.
Author contributions
KB: Project administration, Visualization, Validation, Formal analysis, Conceptualization, Data curation, Investigation, Methodology, Writing – review & editing, Writing – original draft. RS: Writing – review & editing, Conceptualization, Supervision, Investigation, Methodology, Writing – original draft, Project administration, Formal analysis, Resources, Data curation. JL: Formal analysis, Funding acquisition, Writing – review & editing, Resources, Writing – original draft, Data curation, Methodology, Validation, Visualization, Project administration, Conceptualization, Supervision.
Funding
The author(s) declare that financial support was received for the research and/or publication of this article. This research was supported by a grant from #NoRegrets Initiative.
Acknowledgments
We thank Ecdysis Foundation staff for helping to collect data and process samples, and the ranchers for allowing us to sample their operations and answering questions regarding their management. We thank two reviewers for comments on earlier drafts of the paper. Drs. Autumn Smart and Thomas Weissling provided comments on earlier drafts of the manuscript. Mark F. Longfellow gave statistical oversight.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Generative AI statement
The authors declare that no Gen AI was used in the creation of this manuscript.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
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Summary
Keywords
adaptive multi-paddock grazing, Apis mellifera, cattle, flowers, rotational grazing
Citation
Busenitz KM, Schmid RB and Lundgren JG (2025) Regenerative rangeland management improves honey bee health and productivity. Front. Sustain. Food Syst. 9:1555238. doi: 10.3389/fsufs.2025.1555238
Received
03 January 2025
Accepted
07 May 2025
Published
22 May 2025
Volume
9 - 2025
Edited by
Robert Hunter Manson, Instituto de Ecología (INECOL), Mexico
Reviewed by
Eric Vides-Borrell, El Colegio de la Frontera Sur, Mexico
Sandra DeBano, Oregon State University, United States
Scott Mitchell, Oregon State University, United States, in collaboration with reviewer SD
Updates
Copyright
© 2025 Busenitz, Schmid and Lundgren.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Jonathan G. Lundgren, jonathan.lundgren@ecdysis.bio
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