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. 2019 Nov 21;9:17232. doi: 10.1038/s41598-019-52601-y

Diversified Floral Resource Plantings Support Bee Communities after Apple Bloom in Commercial Orchards

Sarah Heller 1,2,5,#, Neelendra K Joshi 1,2,3,✉,#, Timothy Leslie 4, Edwin G Rajotte 2, David J Biddinger 1,2,
PMCID: PMC6872784  PMID: 31754173

Abstract

Natural habitats, comprised of various flowering plant species, provide food and nesting resources for pollinator species and other beneficial arthropods. Loss of such habitats in agricultural regions and in other human-modified landscapes could be a factor in recent bee declines. Artificially established floral plantings may offset these losses. A multi-year, season-long field study was conducted to examine how wildflower plantings near commercial apple orchards influenced bee communities. We examined bee abundance, species richness, diversity, and species assemblages in both the floral plantings and adjoining apple orchards. We also examined bee community subsets, such as known tree fruit pollinators, rare pollinator species, and bees collected during apple bloom. During this study, a total of 138 species of bees  were collected, which included 100 species in the floral plantings and 116 species in the apple orchards. Abundance of rare bee species was not significantly different between apple orchards and the floral plantings. During apple bloom, the known tree fruit pollinators were more frequently captured in the orchards than the floral plantings. However, after apple bloom, the abundance of known tree fruit pollinating bees increased significantly in the floral plantings, indicating potential for floral plantings to provide additional food and nesting resources when apple flowers are not available.

Subject terms: Agroecology, Entomology, Biodiversity

Introduction

Insect pollinators are essential in nearly all terrestrial ecosystems, and the ecosystem services they provide are vital to both wild plant communities and agricultural crop production. Bees are the primary insect pollinators in agricultural ecosystems, and they provide an estimated global service to food production worth $215 billion1. Most crop producers have relied on managed bees, such as the honey bee (Apis mellifera L.) for many years and in most situations, but reliance on this single species for commercial pollination is threatened by high rates of colony loss over the last decade2,3. Concurrent declines of wild bee populations, although more difficult to measure, also raise concerns regarding pollination deficits46. Bee declines are most likely caused by the exposure to multiple interacting stressors such as pesticide use, pathogens, parasites, and a reduction in appropriate floral and nesting resources7.

Many factors may limit access to the feeding and nesting resources that bees need7. Loss of the habitat providing these resources has been a long-term contributor to bee declines8. Many bee species may respond favorably to moderate landscape disturbances that create nesting sites and stimulate floral diversity9. Extreme urbanization and monoculture cropping create a fragmented habitat and limited diet breadth both nutritionally and temporally, which can be generally unfavorable to managed and wild bees1012. Although difficult to predict, climate change could lead to range shifts or constrictions13 and temporal separation of pollinators and the plants they pollinate. Herbicides are used regularly to control weeds in most cropping systems, and this may reduce the availability of season-long flowers for pollinators as well14.

Recognizing the importance of all pollinators and the threat of reduced floral resource and habitat, the U.S. National Strategy to promote the health of honey bees and other pollinators identified restoration of pollinator habitat acreage as one of its three main goals, aiming to restore or enhance 7 million acres of land for pollinators by 202015. Pollination (and subsequently crop yields and quality) is generally higher in areas located closer to natural or semi-natural habitats16,17. Because of this, many researchers and policy makers are encouraging the creation of flower-rich habitats such as hedgerows, field borders, or cover crops to conserve bee populations and increase crop pollination18,19. However, it is still remain unclear whether these habitats actually increase the number of pollinators required for targeted crop pollination20, and if flowers in these habitats may compete with the crop and interfere with crop pollination21,22.

In recent past, impact of non-crop floral resources on different insect communities (such as pest and beneficial species or natural enemies of arthropod pests) in apple orchards has been studied2327. However, season-long benefits to wild bee communities by establishing native perennial floral plantings in commercial apple orchards have not. Apple is a mass-blooming pollinator-dependent crop, and pollinator species visiting apple flowers during bloom also need floral resources after the short 7–10 days apple bloom period. Establishing floral plantings with a native perennial plant species mix with varying bloom times could provide season-long floral food resources to wild bee species in apple orchards and other agroecosystems. In the present study, the importance of establishing perennial floral plantings near commercial apple orchards was examined in Pennsylvania where a complex landscape with high plant diversity already exists28 and managed honey bees largely are not used commercially by the majority of growers29. In particular, we assessed the bee communities found in managed floral resource pollinator plantings and compared them to the bee communities found in nearby commercial apple orchards. In addition to our assessment of the entire bee community, we also examined how two subsets of the bee community – known tree fruit pollinators and rare species – compared between apple orchards and floral plantings. These subsets of the bee communities were selected to act as indicators of the utility of the floral resource plantings: known tree fruit pollinators represent value in improving crop pollination, and the presence of rare species indicates contributions to biological conservation in agricultural landscapes.

We expected that the bee communities in the orchard would be less rich and diverse than those in the floral plantings, because the floral plantings were designed to have diverse floral resources for a longer blooming period. However, we hypothesized that the orchards would have a more diverse and rich assemblage of bees that are known to be tree fruit pollinators because they would be spring-active species that are more likely to move into the orchard during fruit bloom periods. We also hypothesized that the floral plantings would support a higher abundance and richness of bee species identified as rare due to greater floral and nesting resources as compared to the apple orchards.

Results

Abundance

Over the three years of the study in multiple sites (Table 1), 24,155 bees were collected, 7,507 (156.4 bees per trap x site−1 x year−1) in the floral plantings and 16,648 (115.6 bees per trap x site−1 x year−1) from the apple orchards. Percent abundance varied greatly among species (Table 2). Out of the ten most common species in floral plantings established with different plant species mix (Fig. 1) and apple orchards, six species were found in both floral plantings and apple orchards (Fig. 2). However, the single most abundant species for each site type – Eucera hamata (floral plantings) and Augchlora pura (apple orchards) – were not among the most abundant in the other site type (Fig. 2). Based on Pielou’s evenness index, community evenness was higher in the floral plantings (J’ = 0.559) than in the apple orchards (J’ = 0.477). Across all samples collected, the known tree fruit pollinators were significantly more abundant in the orchards compared to the floral plantings (Z = 3.479, P = 0.0005). However, after apple bloom the abundance of known tree fruit pollinating bees in the floral plantings increased significantly (Z = −6.436, P = 1.23e−10.). Overall, there was no significant difference in rare species abundance between the orchards and the floral plantings (Z = − 0.137, P = 0.891).

Table 1.

Details of apple orchard and floral planting sites.

Study Site Size (ha) Location
Apple Orchards
KFL Round Barn 6.07 39°53′59.7′′N 77°21′08.2′′W
DS Piney Apple 4.05 40°00′25.9′′N 77°16′38.6′′W
DS RAMP 4.05 39°58′33.7′′N 77°19′10.6′′W
DS West 3.24 39°58′31.0′′N 77°19′47.9′′W
ED RAMP 3.64 39°56′35.7′′N 77°17′51.0′′W
SS HC 4.05 39°57′27.0′′N 77°17′16.3′′W
Floral Plantings
BR Orchards 0.375 39°57′04.4′′N 77°14′54.7′′W
FREC-P 0.368 39°56′31.6′′N 77°15′39.0′′W
FREC-RLP 0.391 39°56′22.6′′N 77°15′01.9′′W
FREC-RLP-2 0.587 39°56′09.8′′N 77°14′55.9′′W
FREC-RSP 0.609 39°56′10.2′′N 77°14′56.9′′W
P-Cherryvale 0.616 39°57′31.0′′N 77°15′40.3′′W
SS North 0.258 39°57′19.0′′N 77°16′52.1′′W
SS South 0.174 39°57′04.9′′N 77°17′13.1′′W

Table 2.

Species list and percent  abundances of bees in floral plantings and orchards in Adams Co., PA; 2012–2014. Inline graphic = Known tree fruit pollinator, ◊ = Rare species

Species name Author Percent Abundance
Orchard Floral Planting
Andrenidae
Andrena barbara Inline graphic Bouseman & LeBerge 0.01 0.01
Andrena bisalicis Inline graphic Viereck 0.04 0.03
Andrena carlini Inline graphic Cockerell 0.23 0.07
Andrena commode Inline graphic Smith 0.26 0.13
Andrena cornelli Viereck 0.01
Andrena cressonii Inline graphic Robertson 0.01
Andrena distans Provancher 0.01
Andrena dunningi Inline graphic Cockerell 0.50 0.03
Andrena erythrogaster (Ashmead) 0.01
Andrena forbesii Inline graphic Robertson 0.02 0.04
Andrena heraclei Inline graphic Robertson 0.02
Andrena hippotes Inline graphic Robertson 0.01
Andrena imitatrix Inline graphic Cresson 0.05 0.11
Andrena mandibularis Inline graphic Robertson 0.01
Andrena miserabilis Inline graphic Cresson 0.04 0.24
Andrena nasonii Inline graphic Robertson 0.01 0.01
Andrena nivalis Smith 0.01
Andrena nuda Inline graphic Robertson 0.01
Andrena perplexa Inline graphic Smith 0.41 0.12
Andrena pruni Inline graphic Robertson 0.05
Andrena rugosa Inline graphic Robertson 0.05 0.01
Andrena tridens Inline graphic Robertson 0.10
Andrena vicina Inline graphic Smith 0.02
Andrena violae Inline graphic Robertson 0.19 0.08
Andrena wilkella Inline graphic (Kirby) 0.11 0.13
Calliopsis andreniformis Smith 0.02 0.16
Pseudopanurgus compositarum (Robertson) 0.01
Apidae
Anthophora abrupta Inline graphic Say 0.16 0.01
Anthophora bomboides Kirby 0.25 0.31
Anthophora plumipes (Pallas) 0.04
Anthophora terminalis Cresson 0.47 0.13
Apis mellifera Inline graphic Linnaeus 4.41 6.61
Bombus auricomus Robertson 0.01 0.07
Bombus bimaculatus Inline graphic Cresson 1.71 2.42
Bombus fervidus (Fabricius) 1.14 3.84
Bombus griseocollis Inline graphic (DeGeer) 0.28 1.27
Bombus impatiens Inline graphic Cresson 7.80 4.92
Bombus insularis (Smith) 0.01
Bombus perplexus Inline graphic Cresson 1.81 2.24
Bombus vagans Inline graphic Smith 9.77 8.58
Cemolobus ipomoeae (Robertson) 0.02 0.08
Ceratina calcarata Inline graphic Robertson 17.09 5.90
Ceratina dupla Inline graphic Say 3.12 0.35
Ceratina mikmaqi Rehan & Sheffield 0.01
Ceratina strenua Inline graphic Smith 0.35 0.16
Eucera atriventris (Smith) 0.01 0.01
Eucera dubitata (Cresson) 0.03 0.01
Eucera hamata (Bradley) 1.21 16.21
Eucera rosae (Robertson) 0.01
Melissodes bimaculata (Lepeletier) 3.56 8.70
Melissodes denticulata Smith 0.10 0.35
Melissodes dentiventris Smith 0.01 0.08
Melissodes desponsa Smith 0.86 0.97
Melissodes druriella (Kirby) 0.02 0.04
Melissodes illata Lovell & Cockerell 0.01
Melissodes subillata LeBerge 0.03
Melissodes trinodis Robertson 0.08 5.33
Melitoma taurea (Say) 0.45 0.60
Nomada maculata Cresson 0.01
Nomada ovata Inline graphic (Robertson) 0.01
Peponapis pruinosa (Say) 2.09 5.66
Ptilothrix bombiformis (Cresson) 0.17 1.11
Svastra obliqua (Say) 0.04
Triepeolus concavus (Cresson) 0.01
Triepeolus lunatus (Say) 0.01
Xylocopa virginica Inline graphic (L.) 0.07 0.44
Colletidae
Colletes compactus Cresson 0.01
Hylaeus affinis (Smith) 0.02 0.07
Hylaeus hyalinatus Smith 0.03
Hylaeus mesillae (Cockerell) 0.03
Hylaeus modestus Say 0.07 0.01
Halictidae
Agapostemon sericeus (Forster) 0.05
Agapostemon splendens (Lepeletier) 0.01
Agapostemon texanus Cresson 0.05 0.29
Agapostemon virescens (F.) 0.43 4.41
Augochlora pura Inline graphic (Say) 35.74 3.44
Augochlorella aurata (Smith) 0.91 1.29
Augochlorella persimilis (Viereck) 0.01
Augochloropsis metallica Inline graphic (Fabricius) 0.01
Halictus confusus Inline graphic Smith 0.05 0.11
Halictus ligatus Say 0.37 3.61
Halictus rubicundus Inline graphic (Christ) 0.15 0.03
Lasioglossum admirandum Inline graphic (Sandhouse) 0.10 0.08
Lasioglossum bruneri (Crawford) 0.02 0.01
Lasioglossum callidum (Sandhouse) 0.01 0.07
Lasioglossum coeruleum (Robertson) 0.01
Lasioglossum coriaceum (Smith) 0.07 0.03
Lasioglossum cressonii Inline graphic (Robertson) 0.03 0.03
Lasioglossum ephialtum Gibbs 0.01 0.01
Lasioglossum forbesii Inline graphic (Robertson) 0.02
Lasioglossum foxii Inline graphic (Robertson) 0.04
Lasioglossum gotham Inline graphic Gibbs 0.04 0.01
Lasioglossum hitchensi Gibbs 0.05 0.21
Lasioglossum imitatum (Smith) 0.01 0.01
Lasioglossum katherineae Gibbs 0.01
Lasioglossum macoupinense (Robertson) 0.01
Lasioglossum oblongum (Lovell) 0.01 0.01
Lasioglossum obscurum (Robertson) 0.01
Lasioglossum paradmirandum (Knerer & Atwood) 0.01
Lasioglossum pectorale (Smith) 0.01 0.03
Lasioglossum pilosum Inline graphic (Smith) 0.43 7.23
Lasioglossum quebecense Inline graphic (Crawford) 0.04
Lasioglossum subviridatum (Cockerell) 0.02
Lasioglossum tegulare (Robertson) 0.17 0.11
Lasioglossum truncatum Inline graphic (Robertson) 0.02
Lasioglossum versans Inline graphic (Lovell) 0.05 0.04
Lasioglossum versatum Inline graphic (Robertson) 0.14 0.04
Lasioglossum weemsi (Mitchell) 0.01
Lasioglossum zephyrum Inline graphic (Smith) 0.01
Lasioglossum zonulum (Smith) 0.01
Megachilidae
Anthidium manicatum (Linnaeus) 0.12
Anthidium oblongatum (Illiger) 0.01 0.09
Coelioxys rufitarsis Smith 0.01
Coelioxys sayi Robertson 0.01
Heriades carinata Cresson 0.04
Hoplitis pilosifrons (Cresson) 0.01 0.04
Hoplitis truncate (Cresson) 0.01
Megachile addenda Cresson 0.01
Megachile brevis Say 0.02 0.07
Megachile campanulae (Robertson) 0.02 0.09
Megachile centuncularis (Linnaeus) 0.01
Megachile gemula Cresson 0.05
Megachile integra Cresson 0.01
Megachile melanophaea Smith 0.01
Megachile mendica Cresson 0.08 0.08
Megachile montivaga Cresson 0.05
Megachile pugnata Say 0.02
Megachile relativa Cresson 0.01
Megachile rotundata (Fabricius) 0.08
Megachile sculpturalis Smith 0.03
Osmia atriventris Inline graphic Cresson 0.31 0.05
Osmia bucephala Cresson 0.16 0.08
Osmia cornifrons Inline graphic (Radosz.) 0.20 0.01
Osmia lignaria Inline graphic Say 0.03 0.03
Osmia pumila Inline graphic Cresson 0.50 0.03
Osmia taurus Inline graphic Smith 0.05 0.01
Osmia texana Cresson 0.01 0.01
Osmia virga Sandhouse 0.01

Figure 1.

Figure 1

Plant species mix used for establishing floral plantings with their bloom times. *represents species of grasses in the seed-mix, and have no designated bloom time.

Figure 2.

Figure 2

Percent abundance of the ten most abundant species in floral plantings and apple orchards. Pielou’s Index of Eveness (J’) values closer to 1 indicate more even distribution of abundance.

Richness

Over the course of the study, 138 bee species were identified, of which 100 species were recorded in the floral plantings and 116 species in the orchards (Table 2). Fifty-eight species were identified as tree fruit pollinators and six species were categorized as rare (Table 2). There was no difference in bee species richness between floral plantings and apple orchards for all species collected (Fig. 3a) and for known tree fruit pollinating species (Fig. 3b), as species accumulation occurred at almost identical rates in both site types. A higher rate of species accumulation was observed in the apple orchards as compared to floral plantings during the apple bloom time (Fig. 3c), although 95% confidence intervals still overlapped.

Figure 3.

Figure 3

Individual-based rarefaction curves with 95% confidence intervals depicting (a) full season samples, (b) known tree fruit pollinator species, and (c) bloom time species accumulation in orchards (blue) and floral planting (orange).

Diversity

Over the course of the entire study, bee communities in floral plantings were more diverse than those in the orchards based on Shannon index values (Z = −3.219, P = 0.0013) (Fig. 4). The floral plantings also had a more diverse community of known tree fruit pollinators than the orchards (Z = −2.056, P = 0.0397) (Fig. 4). However, during bloom time only the bee communities in apple orchards were more diverse than in floral plantings (Z = 8.083, P = 6.66e-16) (Fig. 4).

Figure 4.

Figure 4

Mean Shannon Diversity Index for orchard sites versus floral plantings for the full season (full data set), for the known tree fruit pollinator species and for samples collected during fruit bloom. Error bars represent standard error.

Community assemblages

The bee communities visiting orchards and floral plantings were not differentiable in the non-metric multidimensional scaling (NMDS) ordination (Stress = 0.1136, P = 0.816) (Fig. 5). However, when the data were limited to known tree fruit pollinators, the communities visiting the orchards and the floral plantings were significantly different (Stress = 0.1395, P = 0.001) (Fig. 6). Among these known tree fruit pollinators, there were distinct community assemblages (F = 8.51, P = 0.002) between orchards and floral plantings, with most species being more closely associated with the orchards (Fig. 7). The first axis of the RDA biplot, which delineated the community gradient between the two site types, explained 22.7% of the variance in species data.

Figure 5.

Figure 5

Non-metric multidimensional scaling ordination of study sites and types according to bee species composition. The ordination is based on the relative Sørensen index, which separates sites based on proportional abundance (Stress = 0.1136, P = 0.816).

Figure 6.

Figure 6

Non-metric multidimensional scaling ordination of study sites and types according to known tree fruit pollinating bee species composition. The ordination is based on the relative Sørensen index, which separates sites based on proportional abundance (Stress = 0.1395, P = 0.001).

Figure 7.

Figure 7

RDA ordination biplot depicting associations between site types and known tree fruit pollinating species. Species names have been abbreviated; full names are in Table 2.

Discussion

Assuring sufficient pollination services is a critical component of commercial apple production. Due to the increasing rental costs of honey bees, growers may rely more on pollination services from wild, non-Apis, bees9,29. In addition, in certain cropping systems and landscapes, wild bees have been shown to visit crops at higher rates than honey bees27,30,31. Growers relying on pollination services from wild bees would thus benefit from adopting practices that actively promote abundant and diverse bee communities as increased pollinator density and diversity has been linked to improve crop yields3234. Our study examined the contribution of season-long floral resource plantings to the wild bee communities in apple orchard agro-ecosystems, and to our knowledge, it is the first multi-year study documenting such season-long utility of perennial floral plantings in commercial apple orchards.

Over the course of the study, we found a diverse array of bees in both the floral plantings and the orchards. An analysis of species assemblages found that the community composition was not different between the habitat types, when the bee community was sampled over the entire season. Similarly, species richness, based on individual-based rarefaction analysis, was also not different between the orchards and floral plantings when compared seasonally. However, diversity indices suggested that the overall diversity and evenness of the bee community (based on Shannon Index and Pielou’s Index, respectively) were greater in the floral plantings. This was likely due the increased plant diversity and availability of season-long floral resources – traits that are often associated with increased pollinator diversity3537. Although the pre-existing orchard/forest interface habitat in Pennsylvania has been found to support a large population of plant species28, the floral plantings used in this study were designed to bloom for a much longer period of time than the orchard/forest interface (see Fig. 1). Many of the plants in the orchard/forest interface in this region are early season perennials28. It is also possible that the orchard/forest interface is impacted by orchard pesticide application drift that could reduce both plant diversity and bee diversity.

Since the seed mixes of the floral plantings were constructed to minimize bloom phenology overlap with apples (Fig. 1), we conducted additional analyses to see if the bee communities responded to these temporal and spatial shifts in floral resources as documented in other settings, such as landscapes with co-blooming crops38. When analyses were restricted to pollinators collected during the tree fruit bloom period only, apple orchards supported a greater diversity of bees and tended to have higher species richness levels. The species assemblage patterns differed significantly between orchards and floral plantings during bloom period, as well. In addition, most of the bees characterized as known apple pollinators (based on previous net collections from flowers), also showed a close association with orchards in this study (see Fig. 7). Of the species most highly associated with apples, three species – Augochlora pura, Ceratina calcarata, and Bombus vagans – comprised more than half of the total bee abundance found in orchards. These species are all known tree fruit pollinators that are commonly found in the orchards in this area3941. A. pura and C. calcarata nest in rotting wood, stems, or pith, which makes the orchard-forest interface an ideal habitat for them and allows these species to thrive in this landscape. In addition, some of the other species associated with the orchard, such as Osmia spp. and Andrena spp., are early season univoltine species, whose foraging activities coincide with apple bloom, thus making them less reliant on the later-blooming flowers in the pollinator plantings. Among the list of known tree-fruit pollinators, only Xylocopa virginica, Bombus griseocollis, and Lasioglossum pilosum were noticeably associated with the floral plantings. All three of these species are generalists, which may be utilizing the late season blooming resources in the floral plantings.

The different diversity and assemblage patterns between whole season and apple bloom period analyses suggests that floral plantings, if properly designed, may serve as an important reservoir for some known tree fruit pollinators when the crop is not in bloom and can contribute to overall pollinator conservation in agricultural landscapes. The diverse plant community in the floral plantings attracted a diverse set of tree fruit pollinating species. Such diversified floral plantings may be acting as a nest site resource, as well as a reservoir for tree fruit pollinators, as we recorded an increase in the abundance of tree fruit pollinating species in the pollinator plantings after fruit bloom. In addition, as introduced landscape elements, the floral plantings seem to work in a complementary fashion with apple orchards in terms of promoting pollination services: known tree fruit pollinators readily moved into the apple orchards during bloom and the floral plantings did not seem to act as a pollinator ‘sink’ during this time period. There was no difference in the abundance of rare species in the orchards and the floral plantings, although detecting differences would likely always be difficult due to the inherently low abundance of these species. Triepeolus concavus was the only rare species found in the pollinator plantings and not the orchards, and is a known nest parasite of the bee genus Colletes.

The floral plantings met the design goals of providing season-long support to pollinator communities in apple orchards in this region. Anecdotally, we did not observe plant species in the pollinator plantings becoming weeds in the orchards, or an increase in pests that used the pollinator planting species as hosts. Furthermore, when the data were limited to only bees collected during fruit bloom, the orchards were significantly more diverse than the floral plantings, indicating that these plantings were not attracting pollinators away from the orchards during fruit bloom. However, we did witness problems with weed management and sustainability of the floral plantings. Canadian thistle (Cirsium arvense), poison ivy (Toxicodendron radicans), Virginia creeper (Parthenocissus quinquefolia) and field bindweed (Convolvulus arvensis) were abundant in many of the plantings and required spot treatment with herbicides.

Overall, the floral plantings attracted a more diverse community of pollinators, and in order to act optimally as a pollination service supplementation, they must be tailored more specifically to the crop and the species that pollinate it. Only a small minority of common bee species provide most of the crop pollination services42, so those bees must be targeted when creating pollinator habitat. For example, it would have been beneficial to have more early season plants in floral plantings, blooming before the crop in the pollinator habitats, which may better support apple pollinating species most of which emerge several weeks before apple bloom27, which include early season bees such as Andrena spp. and Osmia spp.43. These floral plantings increase populations of wild bees and other flower visiting insects in apple orchards27, but other strategies such as developing management practices for hedgerows and woods-edge43 could also benefit pollination supplementation and bee conservation in commercial apple orchards.

Materials and Methods

Study sites

Multi-year field studies were conducted at six separate apple orchards and eight floral plantings (often referred to as pollinator strips) on commercial tree fruit farms in Adams County, PA from 2012–2014 (Table 1). In this region of Pennsylvania, which is the leading tree fruit producing county in the state, orchards have steep slopes, well drained soils and a landscape matrix of approximately 8% orchards, 24% arable and pasture land, 9% developed area and 56% forests44. Orchards are generally small and bordered by undeveloped scrub, forest, or fence rows. This orchard-forest interface is home to a diverse plant community, supporting at least 146 plant species28 and 188 species of bees from a collection of 80,000 field collected bees (DJB unpublished data). Because of the high bee diversity in this complex landscape, and a tripling in the cost of honey bee colony rentals since 2006, the majority of growers in this region do not rent honey bee colonies for pollination and rely completely on wild bees for pollination29. The study orchards ranged in age from 15–25 years, and contained primarily ‘York’, ‘Golden Delicious’, and ‘Honey Crisp’ apple varieties, and none of these orchards used managed honey bees for pollination, nor were within 1 km of managed honey bee hives.

Floral plantings were established under a project funded through contracts between Pennsylvania fruit growers and the United States Department of Agriculture’s Natural Resource Conservation Service (USDA-NRCS) under the Environmental Quality Incentive Program (EQIP) and Conservation Stewardship Program (CSP). These floral plantings were established according to guidelines previously developed cooperatively by the Xerces Conservation Society, Penn State University and Pennsylvania USDA-NRCS. The guidelines specified seeding rates, plant species, and establishment and maintenance programs45. All floral plantings (except one) were established in 2011 and 2012. Site location and other related information of these plantings are given in Table 1.

The seed mixtures for floral plantings were supplied by Ernst Conservation Seed (884 Mercer Pike, Meadville, PA 16335) to best support a diversity of local bees throughout the season (see Fig. 1). Working cooperatively with USDA-NRCS and the fruit growers we established all floral plantings next to apple orchards, with a focus on: (a) providing blooming wild plants throughout the growing season, while minimizing overlap with apple bloom time; (b) including plant species that would not become weeds in apple or other fruit crops; and (c) including plant species that would not serve as alternate hosts of crop diseases or pests, such as brown marmorated stink bug. Orchards were maintained similarly by conventional IPM practices, which included both conventional and reduced risk pesticides as well as biological control. Floral plantings were maintained with yearly mowing and spot spraying for noxious weeds with selective herbicides, in accordance with the USDA-NRCS/Xerces Society recommendations.

Bee sampling in floral plantings and apple orchards

We sampled bee populations in the orchards and the floral plantings using blue vane traps (model Z-BVT, SpringStar Inc., Woodinville, WA), which are highly effective in sampling pollinators46,47. The blue vane trap (BVT) consists of a fluorescent yellow plastic container (0.71 L volume capacity) with a blue plastic funnel and two blue plastic cross vanes. Each floral planting was monitored with two BVT traps, while the larger orchard blocks were monitored with five or ten traps. Traps were suspended approximately 1.5 m above the ground with nylon rope from a metal pole. Supertech® antifreeze (a mixture of ethylene glycol and diethylene glycol, Wal-Mart Stores, Inc., Bentonville, AR) diluted with tap water (60:40) was used as drowning media and specimen preservative for these traps. Trapped bees were collected weekly, from early April to first frost (~mid-October) each year.

Bees were collected from traps using a stainless steel strainer and a pair of flathead forceps, and immediately placed in a clear plastic vial containing 70% ethanol for further processing. In the laboratory, bee samples were dried, pinned, labeled, and identified to species level. Identifications were done by J. Gibbs at Michigan State University (Lasioglossum spp.), R. Jean at Saint Mary-of-the Woods College (Andrenidae samples), and K. Wright at the University of New Mexico (Melissodes spp.). The remaining bees were identified by R. Donoval (USDA-APHIS) and D. Biddinger (Penn State University) using keys4850, and Discover Life ID guides (www.discoverlife.org).

Statistical analysis

Prior to analysis, data were combined across dates and traps at each site within a year. In addition, some analyses were performed on subsets of the bee community, specifically: known tree fruit pollinators (determined by previous net collections in Pennsylvania orchards at pome and stone fruit bloom), rare species for Pennsylvania (determined by expert opinion, S. Droege and D. Biddinger), and only bees collected in BVT during tree fruit bloom time (mid-April to mid-May).

Abundance

Rank abundance curves for the ten most abundant species in each habitat were plotted to identify the most common species found in floral plantings and apple orchards, respectively. Community evenness overall was compared among habitats using Pielou’s index of evenness (J’)51. Percent abundance of species identified as known fruit pollinators and species identified as rare was calculated for each site in each year, and analyzed in RStudio using generalized linear mixed models using the lme4 package52,53, in which site and year were assigned as random factors, and site type (orchard versus floral planting) as a fixed explanatory factor.

Richness

Since the number of samples differed between floral plantings and orchards, species richness was compared between site types using individual-based rarefaction curves developed in EstimateS 8.254. The rarefaction curves allow for a comparison of species richness by indicating the statistical expectation of species accumulation based on 100 permutations of the species-by-sample matrix. Differences in species accumulation between apple orchards and floral plantings were determined by non-overlapping confidence intervals55.

Diversity

The Shannon’s diversity index (H’), which accounts for both species richness and evenness, was calculated for each site-year combination. Diversity index means were compared in RStudio using generalized linear mixed models using the lme4 package52,53 in which site and year were assigned as random factors, and site type (orchard versus floral planting) as a fixed explanatory factor.

Species assemblages

Differences in species composition of the bee communities in the orchards versus those in the floral plantings were visualized with non-metric multidimensional scaling (NMDS) using the metaMDS function in the vegan package in RStudio52,56. NMDS is an ordination technique used to visualize the similarity between data points (in this case, each site/year combination) based on the dissimilarity of any number of variables (in this case, the abundance of each species)57. We conducted two NMDS analyses; the first analysis included all bee species collected in this study, and the second analysis only included the subset of bees that were known to be tree fruit pollinators. Statistical significance was determined by a PERMANOVA using the adonis function in the vegan package in RStudio52,56.

Associations in community assemblage patterns between individual tree fruit pollinating species and site types (orchard and floral plantings) were further examined using redundancy analysis (RDA), a constrained ordination technique, in CANOCO 4.558. Species data were centered and standardized, and year was included as a covariate in the analysis. The significance of site type was determined using Monte Carlo simulations with 499 permutations of the data. Species associations with orchard or floral planting were then visualized using biplots developed in CanoDraw 4.558.

Acknowledgements

The authors are thankful to the USDA-NIFA Specialty Crop Research Initiative Projects (PEN04398: Determining the Role of and Limiting Factors Facing Native Pollinators in Assuring Quality Apple Production in Pennsylvania; a Model for the Mid-Atlantic Tree Fruit Industry, and MICL05063: Developing Sustainable Pollination Strategies for U.S. Specialty Crops), USDA NRCS Conservation Innovation Grant #68-3A75-9-131: Develop and Test Pollinator Habitat Job Sheets for Six Regions of the US, and the State Horticultural Association of Pennsylvania for providing funding to conduct this multiyear research. Authors are also thankful to K.Wholaver, L. Miller, J. Fissel, K. Ellis, and A. Ritz for assisting in the fieldwork, M. Kammerer for help in the data processing and analysis, E. Winzler for GIS mapping of apple orchard sites, and fruit growers: D. Slaybaugh, E. Diveley Jr., S. Slaybaugh and B. Knouse for allowing us to use their orchards in this study. Authors are grateful to Dr. J. Gibbs, Dr. R. Jean and R. Donovall for technical help in bee identification, and Mace Vaughan and Jim Gillis for providing valuable suggestions regarding floral planting seed mixes. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the authors and do not necessarily reflect the view of the U.S. Department of Agriculture.

Author contributions

D.B., N.J. and E.R. conceived and designed the multi-year study and sampling plan. N.J., D.B. and S. H. conducted experiment and collected data. D.B., N.J. and S.H. processed samples. S.H. and T.L. conducted statistical analyses and interpreted results with inputs from D.B., E.R. and N.J. S.H., N.J. and T.L. prepared the manuscript draft with contributions from D.B. and E.R. N.J. and T.L. revised the manuscript. All authors reviewed and edited the manuscript.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

These authors contributed equally: Sarah Heller and Neelendra K. Joshi.

Contributor Information

Neelendra K. Joshi, Email: neeljoshi1005@gmail.com

David J. Biddinger, Email: djb134@psu.edu

References

  • 1.Gallai N, Salles JM, Settele J, Vaissière BE. Economic evaluation of the vulnerability of world agriculture confronted with pollinator decline. Ecol. Econom. 2009;68:810–821. doi: 10.1016/j.ecolecon.2008.06.014. [DOI] [Google Scholar]
  • 2.Lee KV, et al. A national survey of managed honey bee 2013-2014 annual colony losses in the USA. Apidologie. 2015;46:292–305. doi: 10.1007/s13592-015-0356-z. [DOI] [Google Scholar]
  • 3.Potts SG, et al. Declines of managed honey bees and beekeepers in Europe. J. Apic. Res. 2010;49(1):15–22. doi: 10.3896/IBRA.1.49.1.02. [DOI] [Google Scholar]
  • 4.Koh I, et al. Modeling the status, trends, and impacts of wild bee abundance in the United States. Proc. Natl. Acad. Sci. USA. 2016;113:140–145. doi: 10.1073/pnas.1517685113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Bartomeus I, et al. Historical changes in northeastern US bee pollinators related to shared ecological traits. Proc. Natl. Acad. Sci. USA. 2013;110:4656–4660. doi: 10.1073/pnas.1218503110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Burkle LA, Marlin JC, Knight TM. Plant–pollinator interactions over 120 years: loss of species, co-occurrence, and function. Science. 2013;339:1611–1615. doi: 10.1126/science.1232728. [DOI] [PubMed] [Google Scholar]
  • 7.Goulson D, Nicholls E, Botias C, Rotheray EL. Bee declines driven by combined stress from parasites, pesticides, and lack of flowers. Science. 2015;347:1255957-1–1255957-9. doi: 10.1126/science.1255957. [DOI] [PubMed] [Google Scholar]
  • 8.Potts SG, et al. Global pollinator declines: Trends, impacts and drivers. Trends Ecol. Evolut. 2010;25:345–353. doi: 10.1016/j.tree.2010.01.007. [DOI] [PubMed] [Google Scholar]
  • 9.Winfree R, Williams NM, Dushoff J, Kremen C. Native bees provide insurance against ongoing honey bee losses. Ecol. Lett. 2007;10:1105–1113. doi: 10.1111/j.1461-0248.2007.01110.x. [DOI] [PubMed] [Google Scholar]
  • 10.Bates AJ, et al. Changing bee and hoverfly pollinator assemblages along an urban-rural gradient. Plos One. 2011;6:e23459. doi: 10.1371/journal.pone.0023459. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Donaldson-Matasci MC, Dornhaus A. How habitat affects the benefits of communication in collectively foraging honey bees. Behav. Ecol. Sociobiol. 2012;66:583–592. doi: 10.1007/s00265-011-1306-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Cane JH, Tepedino VJ. Causes and extent of declines among native North American invertebrate pollinators: detection, evidence, and consequences. Conserv. Ecol. 2001;5:1. doi: 10.5751/ES-00252-050101. [DOI] [Google Scholar]
  • 13.Kerr JT, et al. Climate change impacts on bumblebees converge across continents. Science. 2015;349:177–180. doi: 10.1126/science.aaa7031. [DOI] [PubMed] [Google Scholar]
  • 14.Goulson D, Lye GC, Darvill B. Decline and conservation of bumble bees. Annu. Rev. Entomol. 2008;53:191–208. doi: 10.1146/annurev.ento.53.103106.093454. [DOI] [PubMed] [Google Scholar]
  • 15.Pollinator Health Task Force. National strategy to promote the health of honey bees and other pollinators (The White House, Washington, DC) (2014).
  • 16.Klein AM, et al. Wild pollination services to California almond rely on semi-natural habitat. J. Appl. Ecol. 2012;49:723–732. [Google Scholar]
  • 17.Nayak GK, et al. Interactive effect of floral abundance and semi-natural habitats on pollinators in field beans (Vicia faba) Agric. Ecosyst. Environ. 2015;199:58–66. doi: 10.1016/j.agee.2014.08.016. [DOI] [Google Scholar]
  • 18.Williams NM, et al. Native wildflower plantings support wild bee abundance and diversity in agricultural landscapes across the Unites States. Ecol. Appl. 2015;25:2119–2131. doi: 10.1890/14-1748.1. [DOI] [PubMed] [Google Scholar]
  • 19.Wratten SD, Gillespie M, Decourtye A, Mader E, Desneux N. Pollinator habitat enhancement: benefits to other ecosystem services. Agric. Ecosyst. Environ. 2012;159:112–122. doi: 10.1016/j.agee.2012.06.020. [DOI] [Google Scholar]
  • 20.Sidhu CS, Joshi NK. Establishing wildflower pollinator habitats in agricultural farmland to provide multiple ecosystem services. Front. Plant Sci. 2016;7:363. doi: 10.3389/fpls.2016.00363. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Somerville, D. Honey bees in cherry and plum pollination, NSW Agriculture Agnote DAI126 (1999).
  • 22.Bostanian NJ, Goulet H, O’hara J, Masner L, Racette G. Towards insecticide free apple orchards: flowering plants to attract beneficial arthropods. Biocontrol Sci Technol. 2004;14:25–37. doi: 10.1080/09583150310001606570. [DOI] [Google Scholar]
  • 23.Fitzgerald JD, Solomon MG. Can flowering plants enhance numbers of beneficial arthropods in UK apple and pear orchards? Biocontrol Sci Technol. 2004;14:291–300. doi: 10.1080/09583150410001665178. [DOI] [Google Scholar]
  • 24.Free J. B. Insect Pollination of Crops, 2nd ed. Academic Press, London, 684 pp (1993).
  • 25.Gontijo LM, Beers EH, Snyder WE. Flowers promote aphid suppression in apple orchards. Biol. Control. 2013;66:8–15. doi: 10.1016/j.biocontrol.2013.03.007. [DOI] [Google Scholar]
  • 26.García RR, Miñarro M. Role of floral resources in the conservation of pollinator communities in cider-apple orchards. Agric. Ecosyst. Environ. 2014;183:118–126. doi: 10.1016/j.agee.2013.10.017. [DOI] [Google Scholar]
  • 27.Campbell AJ, Wilby A, Sutton P, Wäckers FL. Do sown flower strips boost wild pollinator abundance and pollination services in a spring-flowering crop? A case study from UK cider apple orchards. Agric. Ecosyst. Environ. 2017;239:20–29. doi: 10.1016/j.agee.2017.01.005. [DOI] [Google Scholar]
  • 28.Kammerer MA, Biddinger DJ, Rajotte EG, Mortensen DA. Local plant diversity across multiple habitats supports a diverse wild bee community in Pennsylvania apple orchards. Environ. Entomol. 2015;45:1–8. doi: 10.1093/ee/nvv147. [DOI] [PubMed] [Google Scholar]
  • 29.Joshi, N. K., Biddinger, D. J. & Rajotte, E. G. A survey of apple pollination practices, knowledge and attitudes of fruit growers in Pennsylvania. In:10th International Pollination Symposium (Puebla, Mexico) (2011).
  • 30.Winfree R, Williams NM, Gaines H, Ascher JS, Kremen C. Wild bee pollinators provide the majority of crop visitation across land‐use gradients in New Jersey and Pennsylvania, USA. J. Appl. Ecol. 2008;45:793–802. doi: 10.1111/j.1365-2664.2007.01418.x. [DOI] [Google Scholar]
  • 31.Blaauw BR, Isaacs R. Flower plantings increase wild bee abundance and the pollination services provided to a pollination-dependent crop. J. Appl. Ecol. 2014;51:890–898. doi: 10.1111/1365-2664.12257. [DOI] [Google Scholar]
  • 32.Klein A, Steffan-Dewenter MI, Tscharntke T. Fruit set of highland coffee increases with the diversity of pollinating bees. Proc. The Royal Society B. 2003;270:955–961. doi: 10.1098/rspb.2002.2306. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Hoehn P, Tscharntke T, Tylianakis JM, Steffan-Dewenter I. Functional group diversity of bee pollinators increases crop yield. Proc. The Royal Society B. 2008;275:2283–2291. doi: 10.1098/rspb.2008.0405. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Garibaldi LA, et al. Mutually beneficial pollinator diversity and crop yield outcomes in small and large farms. Science. 2016;351:388–391. doi: 10.1126/science.aac7287. [DOI] [PubMed] [Google Scholar]
  • 35.Kremen C, Williams NM, Thorp RW. Crop pollination from native bees at risk from agricultural intensification. Proc. Natl. Acad. Sci. USA. 2002;99:16812–16816. doi: 10.1073/pnas.262413599. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Ricketts TH, et al. Landscape effects on crop pollination services: are there general patterns? Ecol. Lett. 2008;11:499–515. doi: 10.1111/j.1461-0248.2008.01157.x. [DOI] [PubMed] [Google Scholar]
  • 37.Kennedy CM, et al. A global quantitative synthesis of local and landscape effects on wild bee pollinators in agroecosystems. Ecol. Lett. 2013;16:584–599. doi: 10.1111/ele.12082. [DOI] [PubMed] [Google Scholar]
  • 38.Grab H, Blitzer EJ, Danforth B, Loeb G, Poveda K. Temporally dependent pollinator competition and facilitation with mass flowering crops affects yield in co-blooming crops. Sci. Rep. 2017;7:45296. doi: 10.1038/srep45296. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Joshi NK, Otieno M, Rajotte EG, Fleischer SJ, Biddinger DJ. Proximity to woodland and landscape structure drives pollinator visitation in apple orchard ecosystem. Front. Ecol. Evol. 2016;4:38. doi: 10.3389/fevo.2016.00038.. [DOI] [Google Scholar]
  • 40.Biddinger, D. J., Rajotte, E. G. & Joshi, N. K. Integrating pollinator health into tree fruit IPM- A case study of Pennsylvania apple production. In: The pollination of cultivated plants: a compendium for practitioners (2nd edition) (Editor- D. Roubik) FAO, Rome. 69–83 (2018).
  • 41.Gibbs J, et al. Does Passive Sampling Accurately Reflect the Bee (Apoidea: Anthophila) Communities Pollinating Apple and Sour Cherry Orchards? Environ. Entomol. 2017;46:579–588. doi: 10.1093/ee/nvx069. [DOI] [PubMed] [Google Scholar]
  • 42.Kleijn DR, et al. Delivery of crop pollination services is an insufficient argument for wild pollinator conservation. Nat. commun. 2015;6:7414. doi: 10.1038/ncomms8414. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Vaughan, M. E. et al. Hedgerow Planting for Pollinators, Pennsylvania Installation Guide and Job Sheet. The Xerces Society for Invertebrate Conservation. Available at, http://www.xerces.org/wp- content/uploads/2013/01/InstallGuideJobSheet_Pennsylvania_Hedge.pdf (2015).
  • 44.Kammerer MA, Biddinger DJ, Joshi NK, Rajotte EG, Mortensen DA. Modeling local spatial patterns of wild bee diversity in Pennsylvania apple orchards. Landsc. Ecol. 2016;31:2459–2469. doi: 10.1007/s10980-016-0416-4. [DOI] [Google Scholar]
  • 45.NRCS. Pollinator Habitat- Conservation Reserve Program Job Sheet, CP42. P1-5. Available at, https://www.nrcs.usda.gov/Internet/FSE_DOCUMENTS/nrcs142p2_017524.pdf (2011)
  • 46.Joshi NK, et al. Comparative trapping efficiency to characterize bee abundance, diversity, and community composition in apple orchards. Ann. Entomol. Soc. Am. 2015;108:785–799. doi: 10.1093/aesa/sav057. [DOI] [Google Scholar]
  • 47.Kimoto C, et al. Investigating temporal patterns of a native bee community in a remnant North American bunchgrass prairie using blue vane traps. J. Insect Sci. 2012;12:108. doi: 10.1673/031.012.10801. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Mitchell, T. B. Bees of the eastern United States.Vol.1. Technical Bulletin No. 141, North Carolina Agric. Exp. Stn. (1960).
  • 49.Mitchell, T. B. Bees of the eastern United States, Vol.2. Technical Bulletin No. 152, North Carolina Agric. Exp. Stn (1962).
  • 50.Michener, C. D. The bees of the world. The Johns Hopkins University Press, Baltimore, MD (2000).
  • 51.Pielou EC. The measurement of diversity in different types of biological collections. J. Theor. Biol. 1966;13:131–144. doi: 10.1016/0022-5193(66)90013-0. [DOI] [Google Scholar]
  • 52.RStudio Team. RStudio: Integrated Development for R. RStudio, Inc., Boston, MA URL, http://www.rstudio.com/ (2015).
  • 53.Bates D, Maechler M, Bolker B, Walker S. Fitting Linear Mixed-Effects Models Using lme4. J. Stat. Softw. 2015;67:1–48. doi: 10.18637/jss.v067.i01. [DOI] [Google Scholar]
  • 54.Colwell, R. K. Estimate: Statistical estimation of species richness and shared species from samples. Version 8.2. (purl.oclc.org/estimates) (2005).
  • 55.Payton ME, Greenstone MH, Schenker N. Overlapping confidence intervals or standard error intervals: what do they mean in terms of statistical significance? J. Insect Sci. 2003;3:34. doi: 10.1673/031.003.3401. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Oksanen, J. et al. vegan: Community Ecology Package. R package version 2.3–4, https://CRAN.R-project.org/package=vegan (2016).
  • 57.Hoand, S. M. Non-metric multidimensional scaling (MDS). University of Georgia, Athens. Available at, http://strata.uga.edu/software/pdf/mdsTutorial.pdf (2008).
  • 58.ter Braak, C. J. F., & Šmilauer, P. CANOCO reference manual and CanoDraw for Windows user’s guide: software for canonical community ordination, 4.5 edition. Microcomputer Power, Ithaca, NY (2002).

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