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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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2
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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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3
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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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4
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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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5
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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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6
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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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7
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Sydenham MAK, Venter ZS, Reitan T, Rasmussen C, Skrindo AB, Skoog DIJ, Hanevik K, Hegland SJ, Dupont YL, Nielsen A, Chipperfield J, Rusch GM. MetaComNet: A random forest‐based framework for making spatial predictions of plant–pollinator interactions. Methods Ecol Evol 2021. [DOI: 10.1111/2041-210x.13762] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
| | | | - Trond Reitan
- Department of Biosciences Centre for Ecological and Evolutionary Synthesis (CEES) University of Oslo Oslo Norway
| | | | | | - Daniel I. J. Skoog
- Faculty of Environmental Sciences and Natural Resource Management Norwegian University of Life Sciences Ås Norway
| | - Kaj‐Andreas Hanevik
- Faculty of Environmental Sciences and Natural Resource Management Norwegian University of Life Sciences Ås Norway
| | - Stein Joar Hegland
- Department of Environmental Sciences Western University of Applied Sciences Sogndal Norway
| | - Yoko L. Dupont
- Department of Ecoscience Aarhus University Rønde Denmark
| | - Anders Nielsen
- Department of Biosciences Centre for Ecological and Evolutionary Synthesis (CEES) University of Oslo Oslo Norway
- Department of Landscape and Biodiversity Norwegian Institute of Bioeconomy Research (NIBIO) Ås Norway
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8
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Alison J, Botham M, Maskell LC, Garbutt A, Seaton FM, Skates J, Smart SM, Thomas ARC, Tordoff G, Williams BL, Wood CM, Emmett BA. Woodland, cropland and hedgerows promote pollinator abundance in intensive grassland landscapes, with saturating benefits of flower cover. J Appl Ecol 2021. [DOI: 10.1111/1365-2664.14058] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Jamie Alison
- UK Centre for Ecology & Hydrology Bangor UK
- Department of Ecoscience Aarhus University Aarhus Denmark
| | - Marc Botham
- UK Centre for Ecology & Hydrology Wallingford UK
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9
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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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