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Rahimi E, Jung C. Spatial Modeling of Insect Pollination Services in Fragmented Landscapes. INSECTS 2024; 15:662. [PMID: 39336630 PMCID: PMC11432557 DOI: 10.3390/insects15090662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2024] [Revised: 08/29/2024] [Accepted: 08/29/2024] [Indexed: 09/30/2024]
Abstract
Pollination mapping and modeling have opened new avenues for comprehending the intricate interactions between pollinators, their habitats, and the plants they pollinate. While the Lonsdorf model has been extensively employed in pollination mapping within previous studies, its conceptualization of bee movement in agricultural landscapes presents notable limitations. Consequently, a gap exists in exploring the effects of forest fragmentation on pollination once these constraints are addressed. In this study, our objective is to model pollination dynamics in fragmented forest landscapes using a modified version of the Lonsdorf model, which operates as a distance-based model. Initially, we generated several simulated agricultural landscapes, incorporating forested and agricultural habitats with varying forest proportions ranging from 10% to 50%, along with a range of fragmentation degrees from low to high. Subsequently, employing the modified Lonsdorf model, we evaluated the nesting suitability and consequent pollination supply capacity across these diverse scenarios. We found that as the degree of forest fragmentation increases, resulting in smaller and more isolated patches with less aggregation, the pollination services within landscapes tend to become enhanced. In conclusion, our research suggests that landscapes exhibiting fragmented forest patch patterns generally display greater nesting suitability due to increased floral resources in their vicinity. These findings highlight the importance of employing varied models for pollination mapping, as modifications to the Lonsdorf model yield distinct outcomes compared to studies using the original version.
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Affiliation(s)
- Ehsan Rahimi
- Agricultural Science and Technology Institute, Andong National University, Andong 36729, Republic of Korea;
| | - Chuleui Jung
- Agricultural Science and Technology Institute, Andong National University, Andong 36729, Republic of Korea;
- Department of Plant Medical, Andong National University, Andong 36729, Republic of Korea
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2
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Rouabah A, Rabolin-Meinrad C, Gay C, Therond O. Models of bee responses to land use and land cover changes in agricultural landscapes - a review and research agenda. Biol Rev Camb Philos Soc 2024. [PMID: 38940343 DOI: 10.1111/brv.13109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 05/27/2024] [Accepted: 05/31/2024] [Indexed: 06/29/2024]
Abstract
Predictive modelling tools can be used to support the design of agricultural landscapes to promote pollinator biodiversity and pollination services. Despite the proliferation of such modelling tools in recent decades, there remains a gap in synthesising their main characteristics and representation capacities. Here, we reviewed 42 studies that developed non-correlative models to explore the impact of land use and land cover changes on bee populations, and synthesised information about the modelled systems, modelling approaches, and key model characteristics like spatiotemporal extent and resolution. Various modelling approaches are employed to predict the biodiversity of bees and the pollination services they provide, with a prevalence of models focusing on wild populations compared to managed ones. Of these models, landscape indicators and distance decay models are relatively simple, with few parameters. They allow mapping bee visitation probabilities using basic land cover data and considering bee foraging ranges. Conversely, mechanistic or agent-based models delineate, with varying degrees of complexity, a multitude of processes that characterise, among others, the foraging behaviour and population dynamics of bees. The reviewed models collectively encompass 38 ecological, agronomic, and economic processes, producing various outputs including bee abundance, habitat visitation rate, and crop yield. To advance the development of predictive modelling tools aimed at fostering pollinator biodiversity and pollination services in agricultural landscapes, we highlight future avenues for increasing biophysical realism in models predicting the impact of land use and land cover changes on bees. Additionally, we address the challenges associated with balancing model complexity and practical usability.
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Affiliation(s)
- Abdelhak Rouabah
- Université de Lorraine, INRAE, LAE, 28 rue de Herrlisheim, Colmar, 68000, France
| | | | - Camille Gay
- Université de Lorraine, INRAE, LAE, 2 Avenue de la forêt de Haye, BP 20163, Vandœuvre-lès-Nancy Cedex, 54500, France
| | - Olivier Therond
- Université de Lorraine, INRAE, LAE, 28 rue de Herrlisheim, Colmar, 68000, France
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3
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Pille Arnold J, Tylianakis JM, Murphy MV, Cawthray GR, Webber BL, Didham RK. Body-size-dependent effects of landscape-level resource energetics on pollinator abundance in woodland remnants. Proc Biol Sci 2024; 291:20232771. [PMID: 38864334 DOI: 10.1098/rspb.2023.2771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 04/24/2024] [Indexed: 06/13/2024] Open
Abstract
Land use change alters floral resource availability, thereby contributing to declines in important pollinators. However, the severity of land use impact varies by species, influenced by factors such as dispersal ability and resource specialization, both of which can correlate with body size. Here. we test whether floral resource availability in the surrounding landscape (the 'matrix') influences bee species' abundance in isolated remnant woodlands, and whether this effect varies with body size. We sampled quantitative flower-visitation networks within woodland remnants and quantified floral energy resources (nectar and pollen calories) available to each bee species both within the woodland and the matrix. Bee abundance in woodland increased with floral energy resources in the surrounding matrix, with strongest effects on larger-bodied species. Our findings suggest important but size-dependent effects of declining matrix floral resources on the persistence of bees in remnant woodlands, highlighting the need to incorporate landscape-level floral resources in conservation planning for pollinators in threatened natural habitats.
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Affiliation(s)
- Juliana Pille Arnold
- School of Biological Sciences, The University of Western Australia, Crawley, Western Australia, 6009, Australia
- CSIRO Health & Biosecurity, Centre for Environment and Life Sciences, Floreat, Western Australia, 6014, Australia
| | - Jason M Tylianakis
- Bioprotection Aotearoa, School of Biological Sciences, University of Canterbury, Christchurch, New Zealand
| | - Mark V Murphy
- School of Biological Sciences, The University of Western Australia, Crawley, Western Australia, 6009, Australia
| | - Gregory R Cawthray
- School of Biological Sciences, The University of Western Australia, Crawley, Western Australia, 6009, Australia
| | - Bruce L Webber
- School of Biological Sciences, The University of Western Australia, Crawley, Western Australia, 6009, Australia
- CSIRO Health & Biosecurity, Centre for Environment and Life Sciences, Floreat, Western Australia, 6014, Australia
| | - Raphael K Didham
- School of Biological Sciences, The University of Western Australia, Crawley, Western Australia, 6009, Australia
- CSIRO Health & Biosecurity, Centre for Environment and Life Sciences, Floreat, Western Australia, 6014, Australia
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4
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Hederström V, Ekroos J, Friberg M, Krausl T, Opedal ØH, Persson AS, Petrén H, Quan Y, Smith HG, Clough Y. Pollinator-mediated effects of landscape-scale land use on grassland plant community composition and ecosystem functioning - seven hypotheses. Biol Rev Camb Philos Soc 2024; 99:675-698. [PMID: 38118437 DOI: 10.1111/brv.13040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 12/05/2023] [Accepted: 12/07/2023] [Indexed: 12/22/2023]
Abstract
Environmental change is disrupting mutualisms between organisms worldwide. Reported declines in insect populations and changes in pollinator community compositions in response to land use and other environmental drivers have put the spotlight on the need to conserve pollinators. While this is often motivated by their role in supporting crop yields, the role of pollinators for reproduction and resulting taxonomic and functional assembly in wild plant communities has received less attention. Recent findings suggest that observed and experimental gradients in pollinator availability can affect plant community composition, but we know little about when such shifts are to be expected, or the impact they have on ecosystem functioning. Correlations between plant traits related to pollination and plant traits related to other important ecosystem functions, such as productivity, nitrogen uptake or palatability to herbivores, lead us to expect non-random shifts in ecosystem functioning in response to changes in pollinator communities. At the same time, ecological and evolutionary processes may counteract these effects of pollinator declines, limiting changes in plant community composition, and in ecosystem functioning. Despite calls to investigate community- and ecosystem-level impacts of reduced pollination, the study of pollinator effects on plants has largely been confined to impacts on plant individuals or single-species populations. With this review we aim to break new ground by bringing together aspects of landscape ecology, ecological and evolutionary plant-insect interactions, and biodiversity-ecosystem functioning research, to generate new ideas and hypotheses about the ecosystem-level consequences of pollinator declines in response to land-use change, using grasslands as a focal system. Based on an integrated set of seven hypotheses, we call for more research investigating the putative pollinator-mediated links between landscape-scale land use and ecosystem functioning. In particular, future research should use combinations of experimental and observational approaches to assess the effects of changes in pollinator communities over multiple years and across species on plant communities and on trait distributions both within and among species.
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Affiliation(s)
- Veronica Hederström
- Centre for Environmental and Climate Science, Lund University, Sölvegatan 37, Lund, 223 62, Sweden
| | - Johan Ekroos
- Centre for Environmental and Climate Science, Lund University, Sölvegatan 37, Lund, 223 62, Sweden
| | - Magne Friberg
- Department of Biology, Lund University, Sölvegatan 37, Lund, 223 62, Sweden
| | - Theresia Krausl
- Centre for Environmental and Climate Science, Lund University, Sölvegatan 37, Lund, 223 62, Sweden
| | - Øystein H Opedal
- Department of Biology, Lund University, Sölvegatan 37, Lund, 223 62, Sweden
| | - Anna S Persson
- Centre for Environmental and Climate Science, Lund University, Sölvegatan 37, Lund, 223 62, Sweden
| | - Hampus Petrén
- Department of Biology, Lund University, Sölvegatan 37, Lund, 223 62, Sweden
| | - Yuanyuan Quan
- Centre for Environmental and Climate Science, Lund University, Sölvegatan 37, Lund, 223 62, Sweden
| | - Henrik G Smith
- Centre for Environmental and Climate Science, Lund University, Sölvegatan 37, Lund, 223 62, Sweden
- Department of Biology, Lund University, Sölvegatan 37, Lund, 223 62, Sweden
| | - Yann Clough
- Centre for Environmental and Climate Science, Lund University, Sölvegatan 37, Lund, 223 62, Sweden
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5
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Raine NE, Rundlöf M. Pesticide Exposure and Effects on Non- Apis Bees. ANNUAL REVIEW OF ENTOMOLOGY 2024; 69:551-576. [PMID: 37827173 DOI: 10.1146/annurev-ento-040323-020625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/14/2023]
Abstract
Bees are essential pollinators of many crops and wild plants, and pesticide exposure is one of the key environmental stressors affecting their health in anthropogenically modified landscapes. Until recently, almost all information on routes and impacts of pesticide exposure came from honey bees, at least partially because they were the only model species required for environmental risk assessments (ERAs) for insect pollinators. Recently, there has been a surge in research activity focusing on pesticide exposure and effects for non-Apis bees, including other social bees (bumble bees and stingless bees) and solitary bees. These taxa vary substantially from honey bees and one another in several important ecological traits, including spatial and temporal activity patterns, foraging and nesting requirements, and degree of sociality. In this article, we review the current evidence base about pesticide exposure pathways and the consequences of exposure for non-Apis bees. We find that the insights into non-Apis bee pesticide exposure and resulting impacts across biological organizations, landscapes, mixtures, and multiple stressors are still in their infancy. The good news is that there are many promising approaches that could be used to advance our understanding, with priority given to informing exposure pathways, extrapolating effects, and determining how well our current insights (limited to very few species and mostly neonicotinoid insecticides under unrealistic conditions) can be generalized to the diversity of species and lifestyles in the global bee community. We conclude that future research to expand our knowledge would also be beneficial for ERAs and wider policy decisions concerning pollinator conservation and pesticide regulation.
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Affiliation(s)
- Nigel E Raine
- School of Environmental Sciences, University of Guelph, Guelph, Ontario, Canada;
| | - Maj Rundlöf
- Department of Biology, Lund University, Lund, Sweden;
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6
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Tarbill GL, White AM, Sollmann R. Response of pollinator taxa to fire is consistent with historic fire regimes in the Sierra Nevada and mediated through floral richness †. Ecol Evol 2023; 13:e10761. [PMID: 38107425 PMCID: PMC10721959 DOI: 10.1002/ece3.10761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 09/12/2023] [Accepted: 11/11/2023] [Indexed: 12/19/2023] Open
Abstract
Many fire-prone forests are experiencing wildfires that burn outside the historical range of variation in extent and severity. These fires impact pollinators and the ecosystem services they provide, but how the effects of fire are mediated by burn severity in different habitats is not well understood. We used generalized linear mixed models in a Bayesian framework to model the abundance of pollinators as a function of burn severity, habitat, and floral resources in post-fire, mid-elevation, conifer forest, and meadow in the Sierra Nevada, California. Although most species-level effects were not significant, we found highly consistent negative impacts of burn severity in meadows where pollinators were most abundant, with only hummingbirds and some butterfly families responding positively to burn severity in meadows. Moderate-severity fire tended to increase the abundance of most pollinator taxa in upland forest habitat, indicating that even in large fires that burn primarily at high- and moderate-severity patches may be associated with improved habitat conditions for pollinator species in upland forest. Nearly all pollinator taxa responded positively to floral richness but not necessarily to floral abundance. Given that much of the Sierra Nevada is predicted to burn at high severity, limiting high-severity effects in meadow and upland habitats may help conserve pollinator communities whereas low- to moderate-severity fire may be needed in both systems.
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Affiliation(s)
- Gina L. Tarbill
- Pacific Southwest Research StationUSDA, Forest ServiceDavisCaliforniaUSA
- Wildlife, Fish, & Conservation BiologyUniversity of California, DavisDavisCaliforniaUSA
| | - Angela M. White
- Pacific Southwest Research StationUSDA, Forest ServiceDavisCaliforniaUSA
| | - Rahel Sollmann
- Wildlife, Fish, & Conservation BiologyUniversity of California, DavisDavisCaliforniaUSA
- Department of Ecological DynamicsLeibniz Institute for Zoo and Wildlife ResearchBerlinGermany
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7
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Baey C, Smith HG, Rundlöf M, Olsson O, Clough Y, Sahlin U. Calibration of a bumble bee foraging model using Approximate Bayesian Computation. Ecol Modell 2023. [DOI: 10.1016/j.ecolmodel.2022.110251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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8
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Tsujimoto SG, Kim JY, Noda A, Hiratsuka YL, Nishihiro J. Landscape effects on pollinator abundance differ among taxonomic groups. Ecol Res 2022. [DOI: 10.1111/1440-1703.12377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Affiliation(s)
- Shohei G. Tsujimoto
- Centre for Climate Change Adaptation National Institute for Environmental Studies Tsukuba Japan
| | - Ji Yoon Kim
- Department of Biological Science Kunsan National University Gunsan‐si Republic of Korea
| | - Akira Noda
- Faculty of Science Toho University Funabashi Japan
| | | | - Jun Nishihiro
- Centre for Climate Change Adaptation National Institute for Environmental Studies Tsukuba Japan
- Faculty of Science Toho University Funabashi Japan
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9
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Designing crop pollination services: A spatially explicit agent-based model for real agricultural landscapes. Ecol Modell 2022. [DOI: 10.1016/j.ecolmodel.2022.110094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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10
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Barnsley SL, Lovett AA, Dicks LV. Mapping nectar-rich pollinator floral resources using airborne multispectral imagery. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 313:114942. [PMID: 35421693 DOI: 10.1016/j.jenvman.2022.114942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 02/28/2022] [Accepted: 03/18/2022] [Indexed: 06/14/2023]
Abstract
Wild pollinator numbers are known to be positively associated with amounts of flower-rich habitat at landscape level. Increasing floral resources can be particularly beneficial in relatively nectar-poor agricultural systems and having a baseline understanding of the temporal and spatial availability of resources can allow targeted habitat management. Very high-resolution remote sensing has potential to facilitate accurate mapping of fine-scale, within-habitat pollinator foraging resources, thereby allowing spatial and temporal gaps to be identified and addressed, improving predictions of pollinator numbers, and enabling remote monitoring of pollinator conservation measures. Concentrating on hedgerow and flower-rich field margins in a UK agricultural landscape, we showed that multispectral airborne imagery with 3 cm and 7 cm spatial resolutions can be used to classify five nectar-rich flowering plant species (Prunus spinosa, Crataegus monogyna, Rubus fruticosus, Silene dioica and Centaurea nigra) using a maximum likelihood classification algorithm. In 2019, we separately acquired 3 cm and 7 cm imagery for the months of March, May and July, respectively. Overall accuracies were above 90% for each month at both 3 cm and 7 cm resolutions (range 92.32%-98.72%), supporting previous research that suggests higher spatial resolutions do not necessarily lead to higher accuracies, as pixel variability is increased. Remaining challenges include determining which co-flowering species of similar colours in the visible range can be distinguished from one another within classifications and quantifying floral unit density from classifications so that the nectar sugar supply can be calculated. Nonetheless, we provided a prototype approach for mapping pollinator foraging resources in an agricultural context, which can be extended to other nectar-rich species. The foundation is set for developing a remote sensing pipeline that can provide valuable data on the availability of nectar-rich flowering plant species at different time-points throughout the year.
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Affiliation(s)
- S L Barnsley
- School of Biological Sciences, University of East Anglia, Norwich Research Park, Norwich, Norfolk, NR4 7TJ, UK.
| | - A A Lovett
- School of Environmental Sciences, University of East Anglia, Norwich Research Park, Norwich, Norfolk, NR4 7TJ, UK
| | - L V Dicks
- School of Biological Sciences, University of East Anglia, Norwich Research Park, Norwich, Norfolk, NR4 7TJ, UK; Department of Zoology, University of Cambridge, Cambridge, CB2 3EJ, UK
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11
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Blasi M, Clough Y, Jönsson AM, Sahlin U. A model of wild bee populations accounting for spatial heterogeneity and climate-induced temporal variability of food resources at the landscape level. Ecol Evol 2022; 12:e9014. [PMID: 35784045 PMCID: PMC9205664 DOI: 10.1002/ece3.9014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 05/16/2022] [Accepted: 05/20/2022] [Indexed: 11/12/2022] Open
Abstract
The viability of wild bee populations and the pollination services that they provide are driven by the availability of food resources during their activity period and within the surroundings of their nesting sites. Changes in climate and land use influence the availability of these resources and are major threats to declining bee populations. Because wild bees may be vulnerable to interactions between these threats, spatially explicit models of population dynamics that capture how bee populations jointly respond to land use at a landscape scale and weather are needed. Here, we developed a spatially and temporally explicit theoretical model of wild bee populations aiming for a middle ground between the existing mapping of visitation rates using foraging equations and more refined agent-based modeling. The model is developed for Bombus sp. and captures within-season colony dynamics. The model describes mechanistically foraging at the colony level and temporal population dynamics for an average colony at the landscape level. Stages in population dynamics are temperature-dependent triggered by a theoretical generalized seasonal progression, which can be informed by growing degree days. The purpose of the LandscapePhenoBee model is to evaluate the impact of system changes and within-season variability in resources on bee population sizes and crop visitation rates. In a simulation study, we used the model to evaluate the impact of the shortage of food resources in the landscape arising from extreme drought events in different types of landscapes (ranging from different proportions of semi-natural habitats and early and late flowering crops) on bumblebee populations.
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Affiliation(s)
- Maria Blasi
- Centre for Environmental and Climate ScienceLund UniversityLundSweden
| | - Yann Clough
- Centre for Environmental and Climate ScienceLund UniversityLundSweden
| | - Anna Maria Jönsson
- Department of Physical Geography and Ecosystem ScienceLund UniversityLundSweden
| | - Ullrika Sahlin
- Centre for Environmental and Climate ScienceLund UniversityLundSweden
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12
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Sultanova R, Martynova M, Sazgutdinova R. Honey-Bearing Potential of Tilia cordata Mill. Forests in the Southern Urals. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.832442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
This article examined the honey-bearing potential of Tilia cordata Mill. stands in the Southern Urals using forest management and taxation methods. The studies were conducted in pure and mixed even- and uneven-aged forests with T. cordata Mill. in different natural zones of the Southern Urals on the territory of the Bashkirs. These were forests of the South Ural forest-steppe region, the forest-steppe region of the European part of Russia, the area of coniferous-deciduous (mixed) forests of the European part of Russia. The research employed the method of laying temporary and permanent trial areas. T. cordata Mill. forests on the republic’s territory were divided into zones by forest districts. There is a discrepancy between the territorial localization of “nectar” (honey-bearing) linden and designated forest areas, that is, honey-bearing forest areas on the republic’s territory. It could be due to the lacking methodology for assigning linden to these categories. The increased rotation age of linden trees to 81–90 years for several decades, a ban on final cutting, reduced annual cut of soft-leaved forests by 15% enlarged the stocks of overmature forest to 48%. Depending on the age, the number of flowers on one T. cordata Mill. tree varies from 0 to 60.2 thousand pieces. The maximum amount of nectar is 69.04 kg/ha at 12-day linden flowering. The honey productivity of plants including T. cordata Mill., calculated concerning the linden age, its share in the forest composition, the average number of flowers on the tree, nectar per 1 ha of linden and the flowering period ranged from 252.8 to 662.8 kg/ha.
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13
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Nutritionally rich wildflower patches adjacent to nutritionally deficient crops significantly increase pollination services. Ecol Modell 2022. [DOI: 10.1016/j.ecolmodel.2022.109935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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14
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Perrot T, Bretagnolle V, Gaba S. Environmentally‐friendly landscape management improves oilseed rape yields by increasing pollinators and reducing pests. J Appl Ecol 2022. [DOI: 10.1111/1365-2664.14190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Thomas Perrot
- Centre d’Etudes Biologiques de Chizé, UMR7372, CNRS & Université de La Rochelle, F‐79360 Villiers‐en‐Bois France
- INRAE, UMR 1065 Sante et Agroécologie du Vignoble, ISVV Université de Bordeaux Bordeaux Sciences Agro, F‐33883 Villenave d’Ornon Cedex France
| | - Vincent Bretagnolle
- Centre d’Etudes Biologiques de Chizé, UMR7372, CNRS & Université de La Rochelle, F‐79360 Villiers‐en‐Bois France
- LTSER « Zone Atelier Plaine & Val de Sèvre », F‐79360 Villiers‐en‐Bois France
| | - Sabrina Gaba
- Centre d’Etudes Biologiques de Chizé, UMR7372, CNRS & Université de La Rochelle, F‐79360 Villiers‐en‐Bois France
- USC 1339 Agripop Centre d’Etudes Biologiques de Chizé, INRAE, F‐79360 Villiers‐en‐Bois France
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15
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Scale-dependent effectiveness of on-field vs. off-field agri-environmental measures for wild bees. Basic Appl Ecol 2022. [DOI: 10.1016/j.baae.2022.05.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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16
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Eckerter PW, Albrecht M, Bertrand C, Gobet E, Herzog F, Pfister SC, Tinner W, Entling MH. Effects of temporal floral resource availability and non-crop habitats on broad bean pollination. LANDSCAPE ECOLOGY 2022; 37:1573-1586. [PMID: 35611158 PMCID: PMC9122849 DOI: 10.1007/s10980-022-01448-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Accepted: 04/05/2022] [Indexed: 06/15/2023]
Abstract
CONTEXT Flowering plants can enhance wild insect populations and their pollination services to crops in agricultural landscapes, especially when they flower before the focal crop. However, characterizing the temporal availability of specific floral resources is a challenge. OBJECTIVES Developing an index for the availability of floral resources at the landscape scale according to the specific use by a pollinator. Investigating whether detailed and temporally-resolved floral resource maps predict pollination success of broad bean better than land cover maps. METHODS We mapped plant species used as pollen source by bumblebees in 24 agricultural landscapes and developed an index of floral resource availability for different times of the flowering season. To measure pollination success, patches of broad bean (Vicia faba), a plant typically pollinated by bumblebees, were exposed in the center of selected landscapes. RESULTS Higher floral resource availability before bean flowering led to enhanced seed set. Floral resource availability synchronous to broad bean flowering had no effect. Seed set was somewhat better explained by land cover maps than by floral resource availability, increasing with urban area and declining with the cover of arable land. CONCLUSIONS The timing of alternative floral resource availability is important for crop pollination. The higher explanation of pollination success by land cover maps than by floral resource availability indicates that additional factors such as habitat disturbance and nesting sites play a role in pollination. Enhancing non-crop woody plants in agricultural landscapes as pollen sources may ensure higher levels of crop pollination by wild pollinators such as bumblebees. SUPPLEMENTARY INFORMATION The online version contains supplementary material available at 10.1007/s10980-022-01448-2.
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Affiliation(s)
- Philipp W. Eckerter
- iES Landau, Institute for Environmental Sciences, University of Koblenz-Landau, Landau, Germany
| | - Matthias Albrecht
- Agricultural Landscapes and Biodiversity, Agroscope, Zurich, Switzerland
| | - Colette Bertrand
- Agricultural Landscapes and Biodiversity, Agroscope, Zurich, Switzerland
- Université Paris-Saclay, INRAE, UMR ECOSYS, AgroParisTech, Versailles, France
| | - Erika Gobet
- Institute of Plant Sciences and Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
| | - Felix Herzog
- Agricultural Landscapes and Biodiversity, Agroscope, Zurich, Switzerland
| | - Sonja C. Pfister
- Institute for Agroecology and Biodiversity (IFAB), Mannheim, Germany
| | - Willy Tinner
- Institute of Plant Sciences and Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
| | - Martin H. Entling
- iES Landau, Institute for Environmental Sciences, University of Koblenz-Landau, Landau, Germany
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17
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Memory-guided foraging and landscape design interact to determine ecosystem services. J Theor Biol 2022; 534:110958. [PMID: 34748733 DOI: 10.1016/j.jtbi.2021.110958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2021] [Revised: 10/22/2021] [Accepted: 10/31/2021] [Indexed: 11/23/2022]
Abstract
Many studies examine how the landscape affects memory-informed movement patterns, but very few examine how memory-informed foragers influence the landscape. This reverse relationship is an important factor in preventing the continued decline of many ecosystem services. We investigate this question in the context of crop pollination services by wild bees, a critical ecosystem service that is in steep decline. Many studies suggest that adding wild flower patches near crops can result in higher crop pollination services, but specific advice pertaining to the optimal location and density of these wild flower patches is lacking, as well as any estimate of the expected change in crop pollination services. In this work, we seek to understand what is the optimal placement of a flower patch relative to a single crop field, during crop bloom and considering spatial factors alone. We develop an individual based model of memory-based foraging by bumble bees to simulate bee movement from a single nest while the crop is in bloom, and measure the resulting crop pollination services. We consider a single crop field enhanced with a wild flower patch in a variable location, and measure crop flower visitation over the course of a single day. We analyze the pollination intensity and spatial distribution of flower visits to determine optimal wild flower patch placement for an isolated crop field. We find that the spatial arrangement of crop and wild flower patch have a significant effect on the number of crop flower visits, and that these effects arise from the memory-informed foraging pattern. The most effective planting locations are either in the centre of the crop field or on the far side of the crop field, away from the single bumble bee nest.
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Differential equation model for central-place foragers with memory: implications for bumble bee crop pollination. J Math Biol 2021; 83:50. [PMID: 34636970 DOI: 10.1007/s00285-021-01676-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 07/09/2021] [Accepted: 08/31/2021] [Indexed: 10/20/2022]
Abstract
Bumble bees provide valuable pollination services to crops around the world. However, their populations are declining in intensively farmed landscapes. Understanding the dispersal behaviour of these bees is a key step in determining how agricultural landscapes can best be enhanced for bumble bee survival. Here we develop a partial integro-differential equation model to predict the spatial distribution of foraging bumble bees in dynamic heterogeneous landscapes. In our model, the foraging population is divided into two subpopulations, one engaged in an intensive search mode (modeled by diffusion) and the other engaged in an extensive search mode (modeled by advection). Our model considers the effects of resource-dependent switching rates between movement modes, resource depletion, central-place foraging behaviour, and memory. We use our model to investigate how crop pollination services are affected by wildflower enhancements. We find that planting wildflowers such that the crop is located in between the wildflowers and the nest site can benefit crop pollination in two different scenarios. If the bees do not have a strong preference for wildflowers, a small or low density wildflower patch is beneficial. If, on the other hand, the bees strongly prefer the wildflowers, then a large or high density wildflower patch is beneficial. The increase of the crop pollination services in the later scenario is of remarkable magnitude.
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Gardner E, Breeze TD, Clough Y, Smith HG, Baldock KCR, Campbell A, Garratt MPD, Gillespie MAK, Kunin WE, McKerchar M, Potts SG, Senapathi D, Stone GN, Wäckers F, Westbury DB, Wilby A, Oliver TH. Field boundary features can stabilise bee populations and the pollination of mass‐flowering crops in rotational systems. J Appl Ecol 2021. [DOI: 10.1111/1365-2664.13948] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Emma Gardner
- School of Biological Sciences University of Reading Reading UK
- Centre for Agri‐Environmental Research University of Reading Reading UK
| | - Tom D. Breeze
- Centre for Agri‐Environmental Research University of Reading Reading UK
| | - Yann Clough
- Centre for Environmental and Climate Research and Department Biology Lund University Lund Sweden
| | - Henrik G. Smith
- Centre for Environmental and Climate Research and Department Biology Lund University Lund Sweden
| | - Katherine C. R. Baldock
- School of Biological Sciences University of Bristol Bristol UK
- Cabot Institute University of Bristol Bristol UK
- Department of Geographical and Environmental Sciences Northumbria University Newcastle upon Tyne UK
| | | | | | - Mark A. K. Gillespie
- School of Biology University of Leeds Leeds UK
- Department of Environmental Sciences Western Norway University of Applied Sciences Sogndal Norway
| | | | - Megan McKerchar
- School of Science and the Environment University of Worcester UK
| | - Simon G. Potts
- Centre for Agri‐Environmental Research University of Reading Reading UK
| | - Deepa Senapathi
- Centre for Agri‐Environmental Research University of Reading Reading UK
| | - Graham N. Stone
- Institute of Evolutionary Biology University of Edinburgh Edinburgh UK
| | - Felix Wäckers
- Lancaster Environment Centre Lancaster University Lancaster UK
| | | | - Andrew Wilby
- Lancaster Environment Centre Lancaster University Lancaster UK
| | - Tom H. Oliver
- School of Biological Sciences University of Reading Reading UK
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20
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Pollination Potential of Riparian Hardwood Forests—A Multifaceted Field-Based Assessment in the Vistula Valley, Poland. FORESTS 2021. [DOI: 10.3390/f12070907] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Riparian forests with oaks, ashes and elms, now highly fragmented and rare in Europe, are considered hotspots for ecosystem services. However, their capacity to provide pollination seems to be quite low, although reports from in-situ research supporting this view are scarce. Our goal was therefore to thoroughly assess their pollination potential based on multifaceted field measurements. For this, we selected six test sites with well-developed riparian hardwood forests, located in the agricultural landscape along the middle Vistula River in Poland. We used seven indicators relating to habitat suitability (nesting sites and floral resources) and pollinator abundance (bumblebees and other Apoidea) and propose a threshold value (AdjMax) based on value distribution and Hampel’s test to indicate the level of pollination potential for this type of riparian forest. The obtained AdjMax for bumblebee density was 500 ind. ha−1, for Apoidea abundance—0.42 ind. day−1, while for nectar resources—200 kg ha−1. We demonstrate that the investigated small patches of the riparian hardwood forest have a higher pollination potential than reported earlier for riparian and other broadleaved temperate forests, but the indicators were inconsistent. As forest islands in the agricultural landscape, riparian hardwood forests play an important role in maintaining the diversity and abundance of wild pollinators, especially in early spring when there is still no food base available elsewhere.
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21
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Proesmans W, Albrecht M, Gajda A, Neumann P, Paxton RJ, Pioz M, Polzin C, Schweiger O, Settele J, Szentgyörgyi H, Thulke HH, Vanbergen AJ. Pathways for Novel Epidemiology: Plant-Pollinator-Pathogen Networks and Global Change. Trends Ecol Evol 2021; 36:623-636. [PMID: 33865639 DOI: 10.1016/j.tree.2021.03.006] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 03/15/2021] [Accepted: 03/17/2021] [Indexed: 12/14/2022]
Abstract
Multiple global change pressures, and their interplay, cause plant-pollinator extinctions and modify species assemblages and interactions. This may alter the risks of pathogen host shifts, intra- or interspecific pathogen spread, and emergence of novel population or community epidemics. Flowers are hubs for pathogen transmission. Consequently, the structure of plant-pollinator interaction networks may be pivotal in pathogen host shifts and modulating disease dynamics. Traits of plants, pollinators, and pathogens may also govern the interspecific spread of pathogens. Pathogen spillover-spillback between managed and wild pollinators risks driving the evolution of virulence and community epidemics. Understanding this interplay between host-pathogen dynamics and global change will be crucial to predicting impacts on pollinators and pollination underpinning ecosystems and human wellbeing.
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Affiliation(s)
- Willem Proesmans
- Agroécologie, AgroSup Dijon, INRAE, Université de Bourgogne Franche-Comté, 21000 Dijon, France.
| | | | - Anna Gajda
- Institute of Veterinary Medicine, Department of Pathology and Veterinary Diagnostics, Warsaw University of Life Sciences, 02-776 Warsaw, Poland
| | - Peter Neumann
- Institute of Bee Health, Vetsuisse Faculty, University of Bern, CH-3003 Bern, Switzerland
| | - Robert J Paxton
- General Zoology, Institute of Biology, Martin Luther University Halle-Wittenberg, 06120 Halle (Saale), Germany
| | - Maryline Pioz
- Abeilles et Environnement, INRAE, 84140 Avignon, France
| | - Christine Polzin
- Department of Environmental Politics, UFZ Helmholtz Centre for Environmental Research, 04318 Leipzig, Germany
| | - Oliver Schweiger
- UFZ Helmholtz Centre for Environmental Research, 06120 Halle (Saale), Germany
| | - Josef Settele
- UFZ Helmholtz Centre for Environmental Research, 06120 Halle (Saale), Germany; iDiv, German Centre for Integrative Biodiversity Research, Halle-Jena-Leipzig, 04103 Leipzig, Germany; Institute of Biological Sciences, College of Arts and Sciences, University of the Philippines, 4031 Los Baños, Laguna, Philippines
| | - Hajnalka Szentgyörgyi
- Institute of Botany, Faculty of Biology, Jagiellonian University, 30-387 Kraków, Poland
| | - Hans-Hermann Thulke
- Department of Ecological Modelling, UFZ Helmholtz Centre for Environmental Research, 04138 Leipzig, Germany
| | - Adam J Vanbergen
- Agroécologie, AgroSup Dijon, INRAE, Université de Bourgogne Franche-Comté, 21000 Dijon, France.
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22
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Camp AA, Lehmann DM. Impacts of Neonicotinoids on the Bumble Bees Bombus terrestris and Bombus impatiens Examined through the Lens of an Adverse Outcome Pathway Framework. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY 2021; 40:309-322. [PMID: 33226673 PMCID: PMC8577289 DOI: 10.1002/etc.4939] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 08/05/2020] [Accepted: 11/18/2020] [Indexed: 05/26/2023]
Abstract
Bumble bees (Bombus sp.) are important pollinators for agricultural systems and natural landscapes and have faced population declines globally in recent decades. Neonicotinoid pesticides have been implicated as one of the reasons for the population reductions in bumble bees and other pollinators due to their widespread use, specificity to the invertebrate nervous system, and toxicity to bees. Adverse outcome pathways (AOPs) are used to describe the mechanism of action of a toxicant through sequential levels of biological organization to understand the key events that occur for a given adverse outcome. We used the AOP framework to organize and present the current literature available on the impacts of neonicotinoids on bumble bees. The present review focuses on Bombus terrestris and B. impatiens, the 2 most commonly studied bumble bees due to their commercial availability. Our review does not seek to describe an AOP for the molecular initiating event shared by neonicotinoids, but rather aims to summarize the current literature and determine data gaps for the Bombus research community to address. Overall, we highlight a great need for additional studies, especially those examining cellular and organ responses in bumble bees exposed to neonicotinoids. Environ Toxicol Chem 2021;40:309-322. © 2020 SETAC. This article has been contributed to by US Government employees and their work is in the public domain in the USA.
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Affiliation(s)
- A. A. Camp
- ORISE Researcher, Oak Ridge Associated Universities, Research Triangle Park, NC 27711, USA
| | - D. M. Lehmann
- Center for Public Health and Environmental Assessment (CPHEA), Public Health & Environmental Systems Division, Exposure Indicators Branch, US - Environmental Protection Agency, Research Triangle Park, NC, 27711, USA
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23
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Gardner E, Breeze TD, Clough Y, Smith HG, Baldock KCR, Campbell A, Garratt MPD, Gillespie MAK, Kunin WE, McKerchar M, Memmott J, Potts SG, Senapathi D, Stone GN, Wäckers F, Westbury DB, Wilby A, Oliver TH. Reliably predicting pollinator abundance: Challenges of calibrating process‐based ecological models. Methods Ecol Evol 2020. [DOI: 10.1111/2041-210x.13483] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Emma Gardner
- School of Biological Sciences University of Reading Reading UK
- Centre for Agri‐Environmental ResearchUniversity of Reading Reading UK
| | - Tom D. Breeze
- Centre for Agri‐Environmental ResearchUniversity of Reading Reading UK
| | - Yann Clough
- Centre for Environmental and Climate Research Lund University Lund Sweden
| | - Henrik G. Smith
- Centre for Environmental and Climate Research Lund University Lund Sweden
| | - Katherine C. R. Baldock
- School of Biological Sciences University of Bristol Bristol UK
- Cabot InstituteUniversity of Bristol Bristol UK
- Department of Geographical and Environmental Sciences Northumbria University Newcastle upon Tyne UK
| | | | | | - Mark A. K. Gillespie
- School of Biology University of Leeds Leeds UK
- Department of Environmental Sciences Western Norway University of Applied Sciences Sogndal Norway
| | | | - Megan McKerchar
- School of Science and the Environment University of Worcester Worcester UK
| | - Jane Memmott
- School of Biological Sciences University of Bristol Bristol UK
| | - Simon G. Potts
- Centre for Agri‐Environmental ResearchUniversity of Reading Reading UK
| | - Deepa Senapathi
- Centre for Agri‐Environmental ResearchUniversity of Reading Reading UK
| | - Graham N. Stone
- Institute of Evolutionary Biology University of Edinburgh Edinburgh UK
| | - Felix Wäckers
- Lancaster Environment Centre Lancaster University Lancaster UK
| | - Duncan B. Westbury
- School of Science and the Environment University of Worcester Worcester UK
| | - Andrew Wilby
- Lancaster Environment Centre Lancaster University Lancaster UK
| | - Tom H. Oliver
- School of Biological Sciences University of Reading Reading UK
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24
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Joseph J, Santibáñez F, Laguna MF, Abramson G, Kuperman MN, Garibaldi LA. A spatially extended model to assess the role of landscape structure on the pollination service of Apis mellifera. Ecol Modell 2020. [DOI: 10.1016/j.ecolmodel.2020.109201] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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25
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Chudzinska M, Dupont YL, Nabe-Nielsen J, Maia KP, Henriksen MV, Rasmussen C, Kissling WD, Hagen M, Trøjelsgaard K. Combining the strengths of agent-based modelling and network statistics to understand animal movement and interactions with resources: example from within-patch foraging decisions of bumblebees. Ecol Modell 2020. [DOI: 10.1016/j.ecolmodel.2020.109119] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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26
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Thomson DM, Page ML. The importance of competition between insect pollinators in the Anthropocene. CURRENT OPINION IN INSECT SCIENCE 2020; 38:55-62. [PMID: 32145696 DOI: 10.1016/j.cois.2019.11.001] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 11/11/2019] [Accepted: 11/19/2019] [Indexed: 05/08/2023]
Abstract
Resource competition likely plays an important role in some insect pollinator declines and in shaping effects of environmental change on pollination services. Past research supports that competition for floral resources affects bee foragers, but mostly with observational evidence and rarely linking foraging with population change. An increasing number of studies ask whether resources limit pollinator populations, using field measurements of reproductive success, time series and models. Findings generally support positive effects of floral resources, but also highlight the potential importance of nest site availability and parasitism. In parallel, recent experiments strengthen evidence that competition reduces access to floral resources. Developing common currencies for quantifying floral resources and integrating analyses of multiple limiting factors will further strengthen our understanding of competitive interactions and their effects in the Anthropocene.
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Affiliation(s)
- Diane M Thomson
- W.M. Keck Science Department, The Claremont Colleges, 925 N. Mills Avenue, Claremont, CA 91711, United States.
| | - Maureen L Page
- Department of Entomology and Nematology, University of California, Davis, CA 95616, United States
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27
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Banks JE, Banks HT, Myers N, Laubmeier AN, Bommarco R. Lethal and sublethal effects of toxicants on bumble bee populations: a modelling approach. ECOTOXICOLOGY (LONDON, ENGLAND) 2020; 29:237-245. [PMID: 32060669 PMCID: PMC7103009 DOI: 10.1007/s10646-020-02162-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 01/04/2020] [Indexed: 06/10/2023]
Abstract
Pollinator decline worldwide is well-documented; globally, chemical pesticides (especially the class of pesticides known as neonicotinoids) have been implicated in hymenopteran decline, but the mechanics and drivers of population trends and dynamics of wild bees is poorly understood. Declines and shifts in community composition of bumble bees (Bombus spp.) have been documented in North America and Europe, with a suite of lethal and sub-lethal effects of pesticides on bumble bee populations documented. We employ a mathematical model parameterized with values taken from the literature that uses differential equations to track bumble bee populations through time in order to attain a better understanding of toxicant effects on a developing colony of bumble bees. We use a delay differential equation (DDE) model, which requires fewer parameter estimations than agent-based models while affording us the ability to explicitly describe the effect of larval incubation and colony history on population outcomes. We explore how both lethal and sublethal effects such as reduced foraging ability may combine to affect population outcomes, and discuss the implications for the protection and conservation of ecosystem services.
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Affiliation(s)
- J E Banks
- Undergraduate Research Opportunities Center, California State University, Monterey Bay, Seaside, CA, 93955, USA.
| | - H T Banks
- Center for Research in Scientific Computation, North Carolina State University, Raleigh, NC, 27695-8212, USA
| | - N Myers
- Center for Research in Scientific Computation, North Carolina State University, Raleigh, NC, 27695-8212, USA
| | - A N Laubmeier
- Center for Research in Scientific Computation, North Carolina State University, Raleigh, NC, 27695-8212, USA
- Department of Mathematics, University of Nebraska-Lincoln, Lincoln, 68588-0130, NE, USA
| | - R Bommarco
- Department of Ecology, Swedish University of Agricultural Sciences, Uppsala, 750 07, Sweden
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28
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Kirchweger S, Clough Y, Kapfer M, Steffan-Dewenter I, Kantelhardt J. Do improved pollination services outweigh farm-economic disadvantages of working in small-structured agricultural landscapes? - Development and application of a bio-economic model. ECOLOGICAL ECONOMICS : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR ECOLOGICAL ECONOMICS 2020; 169:106535. [PMID: 32879640 PMCID: PMC7115987 DOI: 10.1016/j.ecolecon.2019.106535] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Increases in the size of agricultural fields, the loss of permanent green field edges and other semi-natural habitats have accompanied the intensification of agriculture, and are still ongoing. From a farm economic perspective, an increase in field size increases efficiency mainly due to cost savings. However, recent evidence suggests that increases in field size might lead to the loss of ecosystem services provided by farmland biodiversity, but this trade-off is rarely considered. Here, we aim to quantify the economic and ecological effects of these changes by developing a bio-economic simulation-based land-use modelling framework based on spatially explicit data from an agricultural region in Germany. The results show a substantial decrease in flower visitation in oilseed rape when field sizes increase and permanent green edges are lost. This also leads to a decrease in pollination from wild bees and affects yields and farm economics. However, this loss in agricultural gross margin is overcompensated by economic gains of field enlargement. We conclude that further, more comprehensive evaluations are required and suggest that maintaining fine-grained agricultural landscapes with permanent field margins in the long term may require incentives to farmers, as well as innovations that allow to farm small fields at lower costs.
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Affiliation(s)
- Stefan Kirchweger
- STUDIA – Schlierbach, Studienzentrum für Internationale Analysen, Panoramaweg 1, 4553 Schlierbach, Austria
| | - Yann Clough
- Centre for Environmental and Climate Research, Faculty of Science, Lund University, Ecology Building, Sölvegatan 37, SE-223 62 Lund, Sweden
| | - Martin Kapfer
- Institute of Business management and Agrarian Structure, Bavarian State Research Center for Agriculture, Menzinger Str. 54, 80638 München, Germany
| | - Ingolf Steffan-Dewenter
- Department of Animal Ecology and Tropical Biology, Biocenter, University of Würzburg, Am Hubland, 97074 Würzburg, Germany
| | - Jochen Kantelhardt
- Institute of Agricultural and Forestry Economics, Department of Economics and Social Sciences, University of Natural Resources and Life Sciences, Vienna, Feistmantelstraße 4, 1180 Vienna, Austria
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29
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Nicholson CC, Ricketts TH, Koh I, Smith HG, Lonsdorf EV, Olsson O. Flowering resources distract pollinators from crops: Model predictions from landscape simulations. J Appl Ecol 2019. [DOI: 10.1111/1365-2664.13333] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Charlie C. Nicholson
- The Gund Institute for Environment and Rubenstein School of Environment and Natural Resources University of Vermont Burlington Vermont
| | - Taylor H. Ricketts
- The Gund Institute for Environment and Rubenstein School of Environment and Natural Resources University of Vermont Burlington Vermont
| | - Insu Koh
- The Department of Pathology and Laboratory Medicine University of Vermont Burlington Vermont
| | - Henrik G. Smith
- Centre for Environment and Climate Research Lund University Lund Sweden
| | - Eric V. Lonsdorf
- Institute on the Environment University of Minnesota St. Paul Minnesota
| | - Ola Olsson
- Biodiversity Unit Department of Biology Lund University Lund Sweden
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30
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Knapp JL, Becher MA, Rankin CC, Twiston‐Davies G, Osborne JL. Bombus terrestris in a mass-flowering pollinator-dependent crop: A mutualistic relationship? Ecol Evol 2019; 9:609-618. [PMID: 30680141 PMCID: PMC6342091 DOI: 10.1002/ece3.4784] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Accepted: 11/05/2018] [Indexed: 11/08/2022] Open
Abstract
Bumblebees (Bombus spp.) rely on an abundant and diverse selection of floral resources to meet their nutritional requirements. In farmed landscapes, mass-flowering crops can provide an important forage resource for bumblebees, with increased visitation from bumblebees into mass-flowering crops having an additional benefit to growers who require pollination services. This study explores the mutualistic relationship between Bombus terrestris L. (buff-tailed bumblebee), a common species in European farmland, and the mass-flowering crop courgette (Cucurbita pepo L.) to see how effective B. terrestris is at pollinating courgette and in return how courgette may affect B. terrestris colony dynamics. By combining empirical data on nectar and pollen availability with model simulations using the novel bumblebee model Bumble-BEEHAVE, we were able to quantify and simulate for the first time, the importance of courgette as a mass-flowering forage resource for bumblebees. Courgette provides vast quantities of nectar to ensure a high visitation rate, which combined with abundant pollen grains, enables B. terrestris to have a high pollination potential. While B. terrestris showed a strong fidelity to courgette flowers for nectar, courgette pollen was not found in any pollen loads from returning foragers. Nonetheless, model simulations showed that early season courgette (nectar) increased the number of hibernating queens, colonies, and adult workers in the modeled landscapes. Synthesis and applications. Courgette has the potential to improve bumblebee population dynamics; however, the lack of evidence of the bees collecting courgette pollen in this study suggests that bees can only benefit from this transient nectar source if alternative floral resources, particularly pollen, are also available to fulfill bees' nutritional requirements in space and time. Therefore, providing additional forage resources could simultaneously improve pollination services and bumblebee populations.
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31
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Becher MA, Twiston-Davies G, Penny TD, Goulson D, Rotheray EL, Osborne JL. Bumble-BEEHAVE: A systems model for exploring multifactorial causes of bumblebee decline at individual, colony, population and community level. J Appl Ecol 2018; 55:2790-2801. [PMID: 30449898 PMCID: PMC6221040 DOI: 10.1111/1365-2664.13165] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2017] [Accepted: 03/23/2018] [Indexed: 12/03/2022]
Abstract
World‐wide declines in pollinators, including bumblebees, are attributed to a multitude of stressors such as habitat loss, resource availability, emerging viruses and parasites, exposure to pesticides, and climate change, operating at various spatial and temporal scales. Disentangling individual and interacting effects of these stressors, and understanding their impact at the individual, colony and population level are a challenge for systems ecology. Empirical testing of all combinations and contexts is not feasible. A mechanistic multilevel systems model (individual‐colony‐population‐community) is required to explore resilience mechanisms of populations and communities under stress. We present a model which can simulate the growth, behaviour and survival of six UK bumblebee species living in any mapped landscape. Bumble‐BEEHAVE simulates, in an agent‐based approach, the colony development of bumblebees in a realistic landscape to study how multiple stressors affect bee numbers and population dynamics. We provide extensive documentation, including sensitivity analysis and validation, based on data from literature. The model is freely available, has flexible settings and includes a user manual to ensure it can be used by researchers, farmers, policy‐makers, NGOs or other interested parties. Model outcomes compare well with empirical data for individual foraging behaviour, colony growth and reproduction, and estimated nest densities. Simulating the impact of reproductive depression caused by pesticide exposure shows that the complex feedback mechanisms captured in this model predict higher colony resilience to stress than suggested by a previous, simpler model. Synthesis and applications. The Bumble‐BEEHAVE model represents a significant step towards predicting bumblebee population dynamics in a spatially explicit way. It enables researchers to understand the individual and interacting effects of the multiple stressors affecting bumblebee survival and the feedback mechanisms that may buffer a colony against environmental stress, or indeed lead to spiralling colony collapse. The model can be used to aid the design of field experiments, for risk assessments, to inform conservation and farming decisions and for assigning bespoke management recommendations at a landscape scale.
The Bumble‐BEEHAVE model represents a significant step towards predicting bumblebee population dynamics in a spatially explicit way. It enables researchers to understand the individual and interacting effects of the multiple stressors affecting bumblebee survival and the feedback mechanisms that may buffer a colony against environmental stress, or indeed lead to spiralling colony collapse. The model can be used to aid the design of field experiments, for risk assessments, to inform conservation and farming decisions and for assigning bespoke management recommendations at a landscape scale.
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Affiliation(s)
- Matthias A Becher
- Environment and Sustainability Institute University of Exeter, Penryn Campus Cornwall UK
| | - Grace Twiston-Davies
- Environment and Sustainability Institute University of Exeter, Penryn Campus Cornwall UK
| | - Tim D Penny
- Environment and Sustainability Institute University of Exeter, Penryn Campus Cornwall UK.,School of Biological and Chemical Sciences Queen Mary University of London London UK
| | - Dave Goulson
- School of Life Sciences University of Sussex Sussex UK
| | | | - Juliet L Osborne
- Environment and Sustainability Institute University of Exeter, Penryn Campus Cornwall UK
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32
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O'Brien C, Arathi HS. Bee genera, diversity and abundance in genetically modified canola fields. GM CROPS & FOOD 2018. [PMID: 29528266 DOI: 10.1080/21645698.2018.1445470] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
Intensive agricultural practices resulting in large scale habitat loss ranks as the top contributing factors in the global bee decline. Growing Genetically Modified Herbicide Tolerant (GMHT) crops as large monocultures has resulted extensive applications of herbicides leading to the degradation of natural habitats surrounding farmlands. Herbicide tolerance trait is beneficial for crops such as Canola (Brassica napus) that are extremely vulnerable to weed competition. While the trait in itself does not harm pollinators, growing genetically modified herbicide tolerant cultivars indirectly contributes towards pollinator declines through habitat loss. Canola, a mass-flowering crop is highly attractive to bee pollinators and the extensive adoption of the herbicide tolerant trait has led to depletion of non-crop floral resources. Extensive use of herbicide in and near fields with herbicide tolerant cultivars systematically eliminates semi-natural habitats around agricultural fields which consist of non-crop flowering plants. Planting pollinator strips provides floral resources for bees after crop flowering. We document the bee genera in canola and the adjoining pollinator strip. The overlap in bee genera reinforces the importance of pollinator habitats in agricultural landscape.
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Affiliation(s)
- Colton O'Brien
- a Department of Soil and Crop Sciences , Colorado State University , Fort Collins , CO 80523 USA
| | - H S Arathi
- a Department of Soil and Crop Sciences , Colorado State University , Fort Collins , CO 80523 USA
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Häussler J, Sahlin U, Baey C, Smith HG, Clough Y. Pollinator population size and pollination ecosystem service responses to enhancing floral and nesting resources. Ecol Evol 2017; 7:1898-1908. [PMID: 28331597 PMCID: PMC5355185 DOI: 10.1002/ece3.2765] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2016] [Revised: 11/23/2016] [Accepted: 12/17/2016] [Indexed: 11/09/2022] Open
Abstract
Modeling pollination ecosystem services requires a spatially explicit, process-based approach because they depend on both the behavioral responses of pollinators to the amount and spatial arrangement of habitat and on the within- and between-season dynamics of pollinator populations in response to land use. We describe a novel pollinator model predicting flower visitation rates by wild central-place foragers (e.g., nesting bees) in spatially explicit landscapes. The model goes beyond existing approaches by: (1) integrating preferential use of more rewarding floral and nesting resources; (2) considering population growth over time; (3) allowing different dispersal distances for workers and reproductives; (4) providing visitation rates for use in crop pollination models. We use the model to estimate the effect of establishing grassy field margins offering nesting resources and a low quantity of flower resources, and/or late-flowering flower strips offering no nesting resources but abundant flowers, on bumble bee populations and visitation rates to flowers in landscapes that differ in amounts of linear seminatural habitats and early mass-flowering crops. Flower strips were three times more effective in increasing pollinator populations and visitation rates than field margins, and this effect increased over time. Late-blooming flower strips increased early-season visitation rates, but decreased visitation rates in other late-season flowers. Increases in population size over time in response to flower strips and amounts of linear seminatural habitats reduced this apparent competition for pollinators. Our spatially explicit, process-based model generates emergent patterns reflecting empirical observations, such that adding flower resources may have contrasting short- and long-term effects due to apparent competition for pollinators and pollinator population size increase. It allows exploring these effects and comparing effect sizes in ways not possible with other existing models. Future applications include species comparisons, analysis of the sensitivity of predictions to life-history traits, as well as large-scale management intervention and policy assessment.
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Affiliation(s)
- Johanna Häussler
- Centre for Environmental and Climate Research Lund University Lund Sweden; Present address: Johanna Häussler German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig Leipzig Germany; Present address: Institute of Ecology Friedrich Schiller University Jena Jena Germany; Present address: Charlotte Baey Centrale Supélec MICS Laboratory Châtenay-Malabry France
| | - Ullrika Sahlin
- Centre for Environmental and Climate Research Lund University Lund Sweden
| | - Charlotte Baey
- Centre for Environmental and Climate Research Lund University Lund Sweden
| | - Henrik G Smith
- Centre for Environmental and Climate Research Lund University Lund Sweden; Department of Biology, Biodiversity Lund University Lund Sweden
| | - Yann Clough
- Centre for Environmental and Climate Research Lund University Lund Sweden
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