Tracing the genealogy origin of geographic populations based on genomic variation and deep learning.

Assigning a query individual animal or plant to its derived population is a prime task in diverse applications related to organismal genealogy. Such endeavors have conventionally relied on short DNA sequences under a phylogenetic framework. These methods naturally show constraints when the inferred population sources are ambiguously phylogenetically structured, a scenario demanding substantially more informative genetic signals. Recent advances in cost-effective production of whole-genome sequences and artificial intelligence have created an unprecedented opportunity to trace the population origin for essentially any given individual, as long as the genome reference data are comprehensive and standardized. Here, we developed a convolutional neural network method to identify population origins using genomic SNPs. Three empirical datasets (an Asian honeybee, a red fire ant, and a chicken datasets) and two simulated populations are used for the proof of concepts. The performance tests indicate that our method can accurately identify the genealogy origin of query individuals, with success rates ranging from  93 % to 100 %. We further showed that the accuracy of the model can be significantly increased by refining the informative sites through FST filtering. Our method is robust to configurations related to batch sizes and epochs, whereas model learning benefits from the setting of a proper preset learning rate. Moreover, we explained the importance score of key sites for algorithm interpretability and credibility, which has been largely ignored. We anticipate that by coupling genomics and deep learning, our method will see broad potential in conservation and management applications that involve natural resources, invasive pests and weeds, and illegal trades of wildlife products.

Pollen analysis of honey and pollen stored by Melipona (Melikerria) fasciculata Smith, 1854 (Apidae Meliponini), in an Amazon and Cerrado transition area, Maranhão, Brazil.

The identification of meliponicultural flora is fundamental for the preservation of bees, as well as enabling the development of pollinator management and reforestation programs. In this context, this study aimed to investigate the types of pollen found in the honey and pollen pots of the Melipona fasciculata bee in Arari, State of Maranhão, between August 2022 and July 2023. 40 types of pollen were identified, distributed among 18 botanical families, with Fabaceae standing out (46.15% in pollen pots and 37.86% in honey pots), Myrtaceae (11.53% in pollen and 13.51% in honey) and Rubiaceae (7.69% in pollen and 5.40% in honey). Sapindaceae, in the honey pots, accounted for 5.40%. The other families showed lower percentages, 3.84% in the pollen pots and 2.70% in the honey pots. In terms of similarity, two distinct groups were observed in both the pollen and honey pots. In the pollen pots, group A (May-June ~ 97%) and group B (Feb-Mar ~ 99%) stood out, while in the honey pots, group A (Mar-Apr ~ 98%) and group B (Jun-Jul-Sept ~ 98%) showed the highest percentages. These findings highlight the wide range of resources used by the M. fasciculata species, as well asits preference for Fabaceae and Myrtaceae, due to the diversity and availability of trophic resources. An understanding of the meliponicultural flora is essential to support effective conservation strategies, which aim not only to guarantee the survival of the bees, but also to ensure the continued production of honey, a resource of great importance to local communities.

Phylogenomics and biogeography of the small carpenter bees (Apidae: Xylocopinae: Ceratina).

Small carpenter bees in the genus Ceratina are behaviourally diverse, species-rich, and cosmopolitan, with over 370 species and a range including all continents except Antarctica. Here, we present the first comprehensive phylogeny of the genus based on ultraconserved element (UCE) phylogenomic data, covering a total of 185 ingroup specimens representing 22 of the 25 current subgenera. Our results support most recognized subgenera as natural groups, but we also highlight several groups in need of taxonomic revision - particularly the nominate subgenus Ceratina sensu stricto - and several clades that likely need to be described as new subgenera. In addition to phylogeny, we explore the evolutionary history of Ceratina through divergence time estimation and biogeographic reconstruction. Our findings suggest that Ceratinini split from its sister tribe Allodapini about 72 million years ago. The common ancestor of Ceratina emerged in the Afrotropical realm approximately 42 million years ago, near the Middle Eocene Climatic Optimum. Multiple subsequent dispersal events led to the present cosmopolitan distribution of Ceratina, with the majority of transitions occurring between the Afrotropics, Indomalaya, and the Palearctic. Additional movements also led to the arrival of Ceratina in Madagascar, Australasia, and a single colonization of the Americas. Dispersal events were asymmetrical overall, with temperate regions primarily acting as destinations for migrations from tropical source regions.

Drivers of genomic differentiation landscapes in populations of disparate ecological and geographical settings within mainland Apis cerana.

Elucidating the evolutionary processes that drive population divergence can enhance our understanding of the early stages of speciation and inform conservation management decisions. The honeybee Apis cerana displays extensive population divergence, providing an informative natural system for exploring these processes. The mainland lineage A. cerana includes several peripheral subspecies with disparate ecological and geographical settings radiated from a central ancestor. Under this evolutionary framework, we can explore the patterns of genome differentiation and the evolutionary models that explain them. We can also elucidate the contribution of non-genomic spatiotemporal mechanisms (extrinsic features) and genomic mechanisms (intrinsic features) that influence these genomic differentiation landscapes. Based on 293 whole genomes, a small part of the genome is highly differentiated between central-peripheral subspecies pairs, while low and partial parallelism partly reflects idiosyncratic responses to environmental differences. Combined elements of recurrent selection and speciation-with-gene-flow models generate the heterogeneous genome landscapes. These elements weight differently between central-island and other central-peripheral subspecies pairs, influenced by glacial cycles superimposed on different geomorphologies. Although local recombination rates exert a significant influence on patterns of genomic differentiation, it is unlikely that low-recombination rates regions were generated by structural variation. In conclusion, complex factors including geographical isolation, divergent ecological selection and non-uniform genome features have acted concertedly in the evolution of reproductive barriers that could reduce gene flow in part of the genome and facilitate the persistence of distinct populations within mainland lineage of A. cerana.

Deep learning for identifying bee species from images of wings and pinned specimens.

One of the most challenging aspects of bee ecology and conservation is species-level identification, which is costly, time consuming, and requires taxonomic expertise. Recent advances in the application of deep learning and computer vision have shown promise for identifying large bumble bee (Bombus) species. However, most bees, such as sweat bees in the genus Lasioglossum, are much smaller and can be difficult, even for trained taxonomists, to identify. For this reason, the great majority of bees are poorly represented in the crowdsourced image datasets often used to train computer vision models. But even larger bees, such as bumble bees from the B. vagans complex, can be difficult to separate morphologically. Using images of specimens from our research collections, we assessed how deep learning classification models perform on these more challenging taxa, qualitatively comparing models trained on images of whole pinned specimens or on images of bee forewings. The pinned specimen and wing image datasets represent 20 and 18 species from 6 and 4 genera, respectively, and were used to train the EfficientNetV2L convolutional neural network. Mean test precision was 94.9% and 98.1% for pinned and wing images respectively. Results show that computer vision holds great promise for classifying smaller, more difficult to identify bees that are poorly represented in crowdsourced datasets. Images from research and museum collections will be valuable for expanding classification models to include additional species, which will be essential for large scale conservation monitoring efforts.

Vertical Stratification of Solitary Bees and Wasps in an Urban Forest from the Brazilian Amazon.

Solitary bees and wasps that nest in cavities in tree trunks are important components of terrestrial ecosystems, providing pollination services, and in the case of wasps, the regulation of their prey populations. However, little is known about the vertical strata where bees and wasps build their nests. This is especially the case of urban forest remnants in the Amazon, which is relevant in the context of the global crisis in insect losses. We investigated the existence of vertical stratification in the nesting of solitary bees and wasps in an urban forest in Rio Branco, state of Acre, in the western Brazilian Amazon. We focused on whether wood temperature, ants, and termites are predictors of bee and wasp nesting. We sampled bee and wasp nests in the forest using trap-nests made with wooden blocks containing cavities with three different diameters for twelve months. Trap-nests were installed randomly at three heights in the forest. We collected 145 nests of 25 species, belonging to 11 genera and 6 families. A higher number of nests and species were collected in the upper stratum of the forest, strengthening the hypothesis that there is vertical stratification in the assemblage of solitary bees and wasps. Wood surface temperature and termite attacks on trap-nests were significantly different between strata, which may explain the vertical stratification of bee and wasp assemblages. Considering the importance of these insects for tropical forest ecosystems, the conservation of structurally complex and stratified forests is of paramount importance to maintain the diversity of this insect group.

DNA barcoding insufficiently identifies European wild bees (Hymenoptera, Anthophila) due to undefined species diversity, genus-specific barcoding gaps and database errors.

Recent declines in insect abundances, especially populations of wild pollinators, pose a threat to many natural and agricultural ecosystems. Traditional species monitoring relies on morphological character identification and is inadequate for efficient and standardized surveys. DNA barcoding has become a standard approach for molecular identification of organisms, aiming to overcome the shortcomings of traditional biodiversity monitoring. However, its efficacy depends on the completeness of reference databases. Large DNA barcoding efforts are (almost entirely) lacking in many European countries and such patchy data limit Europe-wide analyses of precisely how to apply DNA barcoding in wild bee identification. Here, we advance towards an effective molecular identification of European wild bees. We conducted a high-effort survey of wild bees at the junction of central and southern Europe and DNA barcoded all collected morphospecies. For global analyses, we complemented our DNA barcode dataset with all relevant European species and conducted global analyses of species delimitation, general and genus-specific barcoding gaps and examined the error rate in DNA data repositories. We found that (i) a sixth of all specimens from Slovenia could not be reliably identified, (ii) species delimitation methods show numerous systematic discrepancies, (iii) there is no general barcoding gap across all bees and (iv) the barcoding gap is genus specific, but only after curating for errors in DNA data repositories. Intense sampling and barcoding efforts in underrepresented regions and strict curation of DNA barcode repositories are needed to enhance the use of DNA barcoding for the identification of wild bees.

Heat and desiccation tolerances predict bee abundance under climate change.

Climate change could pose an urgent threat to pollinators, with critical ecological and economic consequences. However, for most insect pollinator species, we lack the long-term data and mechanistic evidence that are necessary to identify climate-driven declines and predict future trends. Here we document 16 years of abundance patterns for a hyper-diverse bee assemblage1 in a warming and drying region2, link bee declines with experimentally determined heat and desiccation tolerances, and use climate sensitivity models to project bee communities into the future. Aridity strongly predicted bee abundance for 71% of 665 bee populations (species × ecosystem combinations). Bee taxa that best tolerated heat and desiccation increased the most over time. Models forecasted declines for 46% of species and predicted more homogeneous communities dominated by drought-tolerant taxa, even while total bee abundance may remain unchanged. Such community reordering could reduce pollination services, because diverse bee assemblages typically maximize pollination for plant communities3. Larger-bodied bees also dominated under intermediate to high aridity, identifying body size as a valuable trait for understanding how climate-driven shifts in bee communities influence pollination4. We provide evidence that climate change directly threatens bee diversity, indicating that bee conservation efforts should account for the stress of aridity on bee physiology.

Disponibilidad y utilización de los recursos poliníferos por Apis mellifera (Hymenoptera: Apidae) en el este de las Yungas de Jujuy (Argentina) / Availability and use of polliniferous resources by Apis mellifera (Hymenoptera: Apidae) in the Eastern Yungas of Jujuy (Argentina)

Resumen Introducción: El conocimiento de la riqueza vegetal y la estacionalidad alrededor de los apiarios de Apis mellifera es una herramienta de planificación indispensable para los apicultores. Debe incluir la disponibilidad de recursos, las preferencias alimenticias y el comportamiento de búsqueda de alimento. Dicha información no está disponible para las Yungas argentinas, uno de los ecosistemas forestales más estacionales de América del Sur. Objetivo: Evaluar la disponibilidad de recursos tróficos a través de un calendario de floración y su relación con las cargas de polen de A. mellifera en las Yungas. Métodos: En El Fuerte, Jujuy, recolectamos muestras mensuales de septiembre a marzo (2014-2015 y 2015-2016) utilizando trampas de polen. Utilizamos técnicas estandarizadas para los análisis palinológicos e índices de asociación para el uso de recursos. Las fenofases fueron Inicio de floración, Plena floración y Fin de floración. Resultados: Se identificaron 47 especímenes botánicos a nivel de especie y 9 a nivel de género. En ambos períodos hubo una oferta moderada de flores al inicio de la primavera, representada igualmente por plantas arbustivas y herbáceas, con un pico de floración en noviembre. Posteriormente, hubo una caída en la disponibilidad, con un pico de floración nuevamente al final de la temporada. En cinco especies de plantas hubo una asociación de media a alta entre la especie vegetal disponible y la presencia de ésta en el espectro polínico de la muestra de polen corbicular recolectada (Vachellia aroma, Blepharocalyx salicifolius, Cantinoa sp., Vernonanthura sp. y Zanthoxylum coco). Conclusión: En esta región hay una oferta moderada de flores de plantas arbustivas y herbáceas a principios de la primavera, con un pico de floración en noviembre y al final de la temporada. Solo cinco, de casi 50 especies de plantas, muestran una asociación de disponibilidad y uso por parte de las abejas.

Abstract Introduction: Knowledge of vegetation richness and seasonality around Apis mellifera apiaries is an indispensable planning tool for beekeepers. It must include resource availability, food preferences and foraging behaviour. Such information is unavailable for the Argentinian Yungas, one of the most seasonal forest ecosystems in South America. Objective: To assess the availability of trophic resources through a flowering calendar and its relationship with A. mellifera pollen loads in the Yungas. Methods: In El Fuerte, Jujuy, we collected monthly samples from September to March (2014-2015 and 2015-2016) using pollen traps. We used standardized techniques for palynological analyses, and association indices for resource use. The phenophases were Beginning of flowering, Full flowering, and End of flowering. Results: We identified 47 botanical specimens to species level and 9 only to genus. In both periods there was a moderate supply of flowers at the beginning of spring, represented equally by shrub and herbaceous plants, with peak flowering in November. Subsequently, there was a drop in availability, with peak flowering again at the end of the season. In five plant species, there was a medium to high association between the plant species available and their presence in the pollen spectrum of the corbicular pollen samples collected (Vachellia aroma, Blepharocalyx salicifolius, Cantinoa sp., Vernonanthura sp. And Zanthoxylum coco). Conclusion: In this region, there is a moderate supply of shrub and herbaceous plant flowers at the beginning of spring, with peak flowering in November and at the end of the season. Only five, out of nearly 50 plant species, show an association of availability and use by bees.

Sympatric cleptobiotic stingless bees have species-specific cuticular profiles that resemble their hosts.

Stingless bees are the largest group of eusocial pollinators with diverse natural histories, including obligate cleptobionts (genus Lestrimelitta) that completely abandoned flower visitation to rely on other stingless bees for food and nest materials. Species of Lestrimeliita are thought to specialize upon different host species, and deception through chemical similarity has been proposed as a mechanism to explain this phenomenon. In the Yucatan Peninsula of Mexico, Scaptotrigona pectoralis is a species chemically distinct from, and not preferred as a host by, locally widespread Lestrimeliita niitkib; witnessing attacks on S. pectoralis colonies offered the opportunity to test the sensory deception hypothesis to cletoparasitism. Analysis of cuticular profiles revealed that the Lestrimelitta attacking S. pectoralis differed significantly in odour bouquet to L. niitkib and, in contrast, it resembled that of S. pectoralis. Further analyses, including morphometrics, mtDNA barcoding, and the examination of taxonomic features, confirmed the existence of two sympatric Lestrimelitta species. The results give support to the hypothesis of chemical deception as a cleptobiotic strategy in Lestrimelitta sp. This is the first evidence that sympatric cleptobionts of the same genus select hosts in accordance with species-specific cuticular profiles, with possible consequences for ecological adaptation and the evolution of these remarkable organisms and the community of stingless bee hosts.

No statistical evidence that honey bees competitively reduced wild bee abundance in the Munich Botanic Garden-a comment on Renner et al. (2021).

In a recent paper, Renner et al. (Oecologia 195:825-831, 2021) concluded, without supporting statistical evidence, that increased density of managed honey-bee hives between 2019 and 2020 intensified competitive effects of honey bees on non-Apis bee species in the Munich Botanic Garden. Analysis of Renner et al.'s observations revealed that, contrary to their assumption, the change in hive numbers did not statistically alter honey-bee visitation to 29 plant species within or between years. Given this consistency, changes in the proportion of non-Apis bees among visitors of the surveyed plant species between years likely represent their responses to reduced overall availability of floral resources during 2020. Thus, Renner et al.'s observations do not provide convincing evidence that honey bees competitively reduced the abundance of non-Apis bees in the Munich Botanic Garden.

Deep learning increases the availability of organism photographs taken by citizens in citizen science programs.

Citizen science programs using organism photographs have become popular, but there are two problems related to photographs. One problem is the low quality of photographs. It is laborious to identify species in photographs taken outdoors because they are out of focus, partially invisible, or under different lighting conditions. The other is difficulty for non-experts to identify species. Organisms usually have interspecific similarity and intraspecific variation, which hinder species identification by non-experts. Deep learning solves these problems and increases the availability of organism photographs. We trained a deep convolutional neural network, Xception, to identify bee species using various quality of bee photographs that were taken by citizens. These bees belonged to two honey bee species and 10 bumble bee species with interspecific similarity and intraspecific variation. We investigated the accuracy of species identification by biologists and deep learning. The accuracy of species identification by Xception (83.4%) was much higher than that of biologists (53.7%). When we grouped bee photographs by different colors resulting from intraspecific variation in addition to species, the accuracy of species identification by Xception increased to 84.7%. The collaboration with deep learning and experts will increase the reliability of species identification and their use for scientific researches.

Extraction, purification, structural character and biological properties of propolis flavonoids: A review.

Propolis is an aromatic substance which is collected by bees and mixed with bee saliva. The plant sources of propolis are mainly consisted with plant exudates from bark, buds and etc. Flavonoids are secondary metabolites widely found in natural plants, which have a variety of health care functions and are the main active ingredients of propolis. This article summarized the types, active ingredients, pharmacological effects, extraction methods and applications of propolis flavonoids, the aim was to provide the theoretical basis for further research and development of propolis flavonoids.

A new bee species of the genus Dasypoda Latreille (Hymenoptera, Apoidea) from Northwest Africa with comparative remarks on the subgenus Microdasypoda Michez.

North Africa, with its vast array of ecosystems and reliefs, constitutes a remarkable place to explore and describe the diversity of wild bees. In this paper, a new bee species of the genus Dasypoda Latreille (Hymenoptera, Apoidea, Melittidae), D. schwarzi Radchenko et Michez sp. nov., is described from the Atlas Mountains area (Morocco and Tunisia). This species belongs to the subgenus Microdasypoda Michez and is phenotypically related to D. brevicornis Pérez, but differs from all other species of this subgenus by the structure of the male genitals, the metasomal sterna, and by its overall hair colour. A detailed comparative diagnosis of D. schwarzi with the other four species of this subgenus is provided, as well as a key to the males of Microdasypoda, and a correction to the diagnosis of the subgenus. This new species is the fortieth described Dasypoda species and should be looked for in other mountain regions of Northwest Africa, such as in the Algerian Atlas where it could be present.

Taxonomic studies on Dasyproctus Lepeletier & Brullé (Hymenoptera: Crabronidae) from North Vietnam with description of two new species.

Seven species of Dasyproctus Lepeletier & Brullé, 1835 (Hymenoptera: Crabronidae) are recorded from North Vietnam. Of these, D. vietnamensis and D. longi are new species, and D. idrieus (Cameron) and D. pentheri Leclercq are recorded for the first time from the country. Keys to both sexes of Dasyproctus from North Vietnam based on morphological characters are given, and new distributional records are also presented.

Twenty-five new species of mining bees (Hymenoptera: Andrenidae: Andrena) from Israel and the Levant.

Andrena is one of the most diverse bee genera, comprising about 1,600 described species of ground-nesting solitary bees. Many Andrena species are plant specialists, and several taxa have been indicated to be important pollinators of wild and/or crop plants. The Eastern Mediterranean Basin and Israel in particular are one of the main world diversity hotspots of Andrena. Based on extensive examination of museum specimens combined with DNA barcoding, we hereby describe twenty-five Levantine species of Andrena new to science: Andrena anathema Pisanty sp. nov., A. ardentia Pisanty sp. nov., A. asluji Pisanty sp. nov., A. curviocciput Pisanty & Wood sp. nov., A. dividicincta Pisanty sp. nov., A. dorchini Pisanty sp. nov., A. euphorbiae Pisanty sp. nov., A. gageae Wood & Pisanty sp. nov., A. herodesi Pisanty & Wood sp. nov., A. hulae Pisanty sp. nov., A. igraeca Pisanty & Wood sp. nov., A. inusitata Pisanty sp. nov., A. janthinoides Pisanty sp. nov., A. longistilus Pisanty & Wood sp. nov., A. lunaris Pisanty & Wood sp. nov., A. macula Pisanty & Wood sp. nov., A. obtusa Pisanty sp. nov., A. ornithogali Pisanty & Wood sp. nov., A. petrae Wood sp. nov., A. protuber Pisanty sp. nov., A. sulfurea Wood sp. nov., A. turmalina Pisanty & Wood sp. nov., A. veronicae Pisanty & Wood sp. nov., A. veterana Pisanty sp. nov., and A. xera Pisanty sp. nov. We synonymise Andrena edentula Wood with A. tadauchii Gusenleitner syn. nov., and recognise four infraspecific names as valid species: Andrena mediterranea Pisanty & Scheuchl stat. nov., A. mizorhina Warncke stat. nov., A. noacki Alfken sp. resurr. and A. ochraceohirta Alfken sp. resurr. We additionally describe the hitherto unknown sexes of four species, provide new records for fifteen species previously unknown from Israel, and list fourteen taxa whose previously reported presence in Israel is considered erroneous or questionable.

Stingless bee propolis, metformin, and their combination alleviate diabetic cardiomyopathy

Abstract Background and aim: Stingless bee propolis, a resinous compound processed by mandibular secretion of stingless bees, is used for maintenance of hygiene and stability of beehives. Research on stingless bee propolis shows therapeutic properties attributed to polyphenols exhibiting antioxidative, antihyperglycemic and antiischemic effect. However, the cardioprotective effect of stingless bee propolis on diabetic cardiomyopathy is unknown. Methods: Adult male Sprague Dawley rats were randomised to five groups: normal group, diabetic group, diabetic given metformin (DM+M), diabetic given propolis (DM+P) and diabetic given combination therapy (DM+M+P) and treated for four weeks. Body weight, fasting blood glucose, food and water intake were taken weekly. At the end of experiment, biomarkers of oxidative damage were measured in serum and heart tissue. Antioxidants in heart tissue were quantified. Part of left ventricle of heart was processed for histological staining including Haematoxylin and Eosin (H&E) stain for myocyte size and Masson's Trichrome (MT) stain for heart fibrosis and perivascular fibrosis. Results: Propolis alleviated features of diabetic cardiomyopathy such as myocyte hypertrophy, heart fibrosis and perivascular fibrosis associated with improvement in antioxidative status. Conclusion: This study reports beneficial effect of propolis and combination with metformin in alleviating histopathological feature of diabetic cardiomyopathy by modulating antioxidants, making propolis an emerging complementary therapy.

Chromosome Evolution in the Genus Partamona (Apidae: Meliponini), with Comments on B Chromosome Origin.

The genus Partamona includes 33 species of stingless bees, of which 11 were studied cytogenetically. The main goal of this study was to propose a hypothesis about chromosomal evolution in Partamona by combining molecular and cytogenetic data. Cytogenetic analyses were performed on 3 Partamona species. In addition, the molecular phylogeny included mitochondrial sequences of 11 species. Although the diploid number was constant within the genus, 2n = 34, B chromosomes were reported in 7 species. Cytogenetic data showed karyotypic variations related to chromosome morphology and the amount and distribution of heterochromatin and repetitive DNA. The molecular phylogenetic reconstruction corroborated the monophyly of the genus and separated the 2 clades (A and B). This separation was also observed in the cytogenetic data, in which species within each clade shared most of the cytogenetic characteristics. Furthermore, our data suggested that the B chromosome in the genus Partamona likely originated from a common ancestor of the species that have it in clade B and, through interspecific hybridization, it appeared only in Partamona rustica from clade A. Based on the above, Partamona is an interesting genus for further investigations using molecular mapping of B chromosomes as well as for broadening phylogenetic data.

Tropical bee species abundance differs within a narrow elevational gradient.

Insect pollination is among the most essential ecosystem services for humanity. Globally, bees are the most effective pollinators, and tropical bees are also important for maintaining tropical biodiversity. Despite their invaluable pollination service, basic distributional patterns of tropical bees along elevation gradients are globally scarce. Here, we surveyed bees at 100 m elevation intervals from 800 to 1100 m elevation in Costa Rica to test if bee abundance, community composition and crop visitor assemblages differed by elevation. We found that 18 of 24 bee species spanning three tribes that represented the most abundantly collected bee species showed abundance differences by elevation, even within this narrow elevational gradient. Bee assemblages at the two crop species tested, avocado and squash, showed community dissimilarity between high and low elevations, and elevation was a significant factor in explaining bee community composition along the gradient. Stingless bees (Tribe Meliponini) were important visitors to both crop species, but there was a more diverse assemblage of bees visiting avocado compared to squash. Our findings suggest that successful conservation of tropical montane bee communities and pollination services will require knowledge of which elevations support the highest numbers of each species, rather than species full altitudinal ranges.