Abstract
Context
Flower-visiting insects depend on floral resource availability from both cultivated and semi-natural habitats in agricultural landscapes. Landscape studies exploring insect abundance mainly focus on land cover maps without considering plant species within. Highlighting the functional role of landscapes through the potential floral resources they provide is an overlooked innovative approach.
Objectives
We aimed to identify traits of floral communities that are important, across several spatial scales, for explaining the abundance of flower-visiting insects. Mapping and quantifying potential floral resources according to their attractivity, accessibility and profitability in both crop and non-crop habitats was performed to gain insights into flower-vising insect requirements.
Methods
We translated land-cover maps of 39 landscapes of 250 m, 500 m and 1000 m radius into potential floral resource maps, using pre-existing vegetation surveys and floral traits databases. In the centres of the landscapes, the abundance of flower-visiting insect groups (domestic and wild bees, bumblebees and hoverflies) were recorded in organic winter cereal fields. We then fitted Generalized Linear Models (GLMs) to investigate the effects of flower trait variables (pre-selected with conditional random forests) at both field and landscape scales on the abundance of each flower-visiting insect group.
Results
Floral resource maps explained the abundances of flower-visiting insect groups. Small wild bees (< 1 cm) responded positively to the relative amount of attractive and accessible floral resources at 250 m. The abundance of domestic bees and bumblebees was positively correlated with the relative amount of high nectar producing plants at 1000 m. The abundance of hoverflies was positively influenced by the relative amount of actinomorphic flowers (i.e., those with radial symmetry), at 1000 m.
Conclusion
Resource maps could explain flower-visiting insect abundances, identify which category of floral resources organisms require, and determine in which habitat types these resources prevail. These results open a new research area related to managing the environment by optimising floral resources for flower-visiting insect conservation and pollination maintenance.


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Data availability
The datasets analysed during the current study are available from the corresponding author on reasonable request.
References
Ammann L, Bosem-Baillod A, Eckerter PW, Entling MH, Albrecht M, Herzog F (2022) Comparing floral resource maps and land cover maps to predict predators and aphid suppression on field bean. Landsc Ecol 37(2):431–441
ArcGIS [GIS software] (2020) Version 10.8.1. Environmental Systems Research Institute, Inc., Redlands
Arnold SE, Le Comber CS, Chittka L (2009) Flower color phenology in European grassland and woodland habitats, through the eyes of pollinators. Isr J Plant Sci 57(3):211–230
Balfour NJ, Ratnieks FL (2022) The disproportionate value of ‘weeds’ to pollinators and biodiversity. J Appl Ecol 59:1209–1218
Balzan MV, Bocci G, Moonen AC (2014) Augmenting flower trait diversity in wildflower strips to optimise the conservation of arthropod functional groups for multiple agroecosystem services. J Insect Conserv 18:713–728
Bartoń K (2020) MuMIn: multi-model inference. R package version 1.43.17
Batáry P, Dicks LV, Kleijn D, Sutherland WJ (2015) The role of agri-environment schemes in conservation and environmental management. Conserv Biol 29(4):1006–1016
Baude M, Kunin WE, Memmott J (2015) Nectar sugar values of common British plant species [AgriLand]. NERC Environmental Information Data Centre
Bertrand C, Burel F, Baudry J (2016) Spatial and temporal heterogeneity of the crop mosaic influences carabid beetles in agricultural landscapes. Landsc Ecol 31(2):451–466
Bradter U, Kunin WE, Altringham JD, Thom TJ, Benton TG (2013) Identifying appropriate spatial scales of predictors in species distribution models with the random forest algorithm. Methods Ecol Evol 4(2):167–174
Bretagnolle V, Gaba S (2015) Weeds for bees? A review. Agron Sustain Dev 35(3):891–909
Burel F, Baudry J (1990) Structural dynamic of a hedgerow network landscape in Brittany France. Landsc Ecol 4(4):197–210
Burnham KP, Anderson DR (2002) Model selection and multimodel inference: a practical information-theoretical approach, 2nd edn. Springer-Verlag, New York
Cavigliasso P, Phifer CC, Knowlton JL, Licata JA, Flaspohler DJ, Webster CR, Chacoff NP (2022) Influence of landscape composition on wild bee communities: effects of functional landscape heterogeneity. Agric Ecosyst Environ 340:108150
Cole LJ, Baddeley JA, Robertson D, Topp CFE, Walker RL, Watson CA (2022) Supporting wild pollinators in agricultural landscapes through targeted legume mixtures. Agric Ecosyst Environ 323:107648
Crochard L, Julliard R, Gaba S, Bretagnolle V, Baude M, Fontaine C (2022) Weeds from non-flowering crops as potential contributors to oilseed rape pollination. Agric Ecosyst Environ 336:108026
Dafni A, Potts SG (2004) The role of flower inclination, depth, and height in the preferences of a pollinating beetle (Coleoptera: Glaphyridae). J Insect Behav 17(6):823–834
Danner N, Keller A, Härtel S, Steffan-Dewenter I (2017) Honey bee foraging ecology: season but not landscape diversity shapes the amount and diversity of collected pollen. PLoS ONE 12(8):e0183716
Dennis RLH, Shreeve TG, Van Dyck H (2003) Towards a functional resource-based concept for habitat: a butterfly biology viewpoint. Oikos 102(2):417–426
Dennis RLH, Shreeve TG, Van Dyck H (2006) Habitats and resources: the need for a resource-based definition to conserve Butterflies. Biodivers Conserv 15(6):1943–1966
Diekötter T, Peter F, Jauker B, Wolters V, Jauker F (2014) Mass-flowering crops increase richness of cavity-nesting bees and wasps in modern agro-ecosystems. Gcb Bioenergy 6(3):219–226
Dormann CF, Elith J, Bacher S, Buchmann C, Carl G, Carré G, Marquéz JRG, Gruber B, Lafourcade B, Leitão PJ, Münkemüller T, McClean C, Osborne PE, Reineking B, Schröder B, Skidmore AK, Zurell D, Lautenbach S (2013) Collinearity: a review of methods to deal with it and a simulation study evaluating their performance. Ecography 36:27–46
Eckerter PW, Albus L, Natarajan S, Albrecht M, Ammann L, Gobet E, Herzog F, Tinner W, Entling M (2020) Using temporally resolved floral resource maps to explain bumblebee colony performance in agricultural landscapes. Agronomy 10(12):1993
Fahrig L, Baudry J, Brotons L, Burel F, Crist TO, Fuller RJ, Sirami C, Siriwardena GM, Martin JL (2011) Functional landscape heterogeneity and animal biodiversity in agricultural landscapes. Ecol Lett 14(2):101–112
Fenster CB, Armbruster WS, Wilson P, Dudash MR, Thomson JD (2004) Pollination syndromes and floral specialization. Annu Rev Ecol Evol Syst 35:375–403
Garibaldi LA, Steffan-Dewenter I, Winfree R et al (2013) Wild pollinators enhance fruit set of crops regardless of honey bee abundance. Science 339(6127):1608–1611
Gathmann A, Tscharntke T (2002) Foraging ranges of solitary bees. J Anim Ecol 71(5):757–764
Grueber CE, Nakagawa S, Laws RJ, Jamieson IG (2011) Multimodel inference in ecology and evolution: challenges and solutions. J Evol Biol 24(4):699–711
Gustafson EJ (1998) Quantifying landscape spatial pattern: what is the state of the art? Ecosystems 1(2):143–156
Hothorn T, Hornik K, Zeileis A (2006) Unbiased recursive partitioning: a conditional inference framework. J Comput Graph Stat 15(3):651–674
Jackson HB, Fahrig L (2012) What size is a biologically relevant landscape? Landsc Ecol 27(7):929–941
Jeavons E, van Baaren J, Le Lann C (2020) Resource partitioning among a pollinator guild: a case study of monospecific flower crops under high honeybee pressure. Acta Oecol 104:103527
Julve P (1998) Baseflor. Index botanique, écologique et chorologique de la flore de France. Version : “20 novembre 2018”
Kattge EJ, Diaz S, Lavorel S et al (2011) TRY – a global database of plant traits. Glob Change Biol 17(9):2905–2935
Kleijn D, Van Langevelde F (2006) Interacting effects of landscape context and habitat quality on flower visiting insects in agricultural landscapes. Basic Appl Ecol 7(3):201–214
Knight ME, Martin AP, Bishop S, Hale RJ, Sanderson RA, Goulson D (2005) An interspecific comparison of foraging range and nest density of four bumblebee (Bombus) species. Mol Ecol 14(6):1811–1820
Laliberté E, Legendre P, Shipley B (2014) FD: measuring functional diversity (FD) from multiple traits, and other tools for functional ecology. R package version 1.0–12
Lonsdorf E, Kremen C, Ricketts T, Winfree R, Williams N, Greenleaf S (2009) Modelling pollination services across agricultural landscapes. Ann Bot 103(9):1589–1600
Lunau K, Papiorek S, Eltz T, Sazima M (2011) Avoidance of achromatic colours by bees provides a private niche for hummingbirds. J Exp Biol 214(9):1607–1612
Mallinger RE, Prasifka JR (2017) Bee visitation rates to cultivated sunflowers increase with the amount and accessibility of nectar sugars. J Appl Entomol 141(7):561–573
Morandin LA, Winston ML, Abbott VA, Franklin MT (2007) Can pastureland increase wild bee abundance in agriculturally intense areas? Basic Appl Ecol 8:117–124
Mueller-Dombois D, Ellenberg H (1974) Aims and methods of vegetation ecology. Wiley, Hoboken
Öckinger E, Lindborg R, Sjödin NE, Bommarco R (2012) Landscape matrix modifies richness of plants and insects in grassland fragments. Ecography 35(3):259–267
Ollerton J, Winfree R, Tarrant S (2011) How many flowering plants are pollinated by animals? Oikos 120(3):321–326
Papiorek S, Junker RR, Alves-dos-Santos I, Melo GA, Amaral-Neto LP, Sazima M, Wolowski M, Freitas L, Lunau K (2016) Bees, birds and yellow flowers: pollinator-dependent convergent evolution of UV patterns. Plant Biol 18(1):46–55
Potts SG, Vulliamy B, Dafni A, Ne’eman G, Willmer P (2003) Linking bees and flowers: how do floral communities structure pollinator communities? Ecology 84(10):2628–2642
Proesmans W, Bonte D, Smagghe G, Meeus I, Verheyen K (2019) Importance of forest fragments as pollinator habitat varies with season and guild. Basic Appl Ecol 34:95–107
Puech C, Baudry J, Joannon A, Poggi S, Aviron S (2014) Organic vs. conventional farming dichotomy: does it make sense for natural enemies? Agric Ecosyst Environ 194:48–57
Puech C, Poggi S, Baudry J, Aviron S (2015) Do farming practices affect natural enemies at the landscape scale? Landsc Ecol 30(1):125–140
R Core Team (2020) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/
Requier F, Odoux J-F, Tamic T, Moreau N, Henry M, Decourtye A, Bretagnolle V (2015) Honey bee diet in intensive farmland habitats reveals an unexpectedly high flower richness and a major role of weeds. Ecol Appl 25(4):881–890
Ricketts TH, Regetz J, Steffan-Dewenter I, Cunningham SA, Kremen C, Bogdanski A, Gemmill-Herren B, Greenleaf SS, Klein AM, Mayfield MM, Morandin LA, Ochieng A, Viana BF (2008) Landscape effects on crop pollination services: are there general patterns? Ecol Lett 11(5):499–515
Ricou C, Schneller C, Amiaud B, Plantureux S, Bockstaller C (2014) A vegetation-based indicator to assess the pollination value of field margin flora. Ecol Indic 45:320–331
Rivers-Moore J, Andrieu E, Vialatte A, Ouin A (2020) Wooded semi-natural habitats complement permanent grasslands in supporting wild bee diversity in agricultural landscapes. InSects 11(11):812
Rollin O, Bretagnolle V, Decourtye A, Aptel J, Michel N, Vaissière BE, Henry M (2013) Differences of floral resource use between honey bees and wild bees in an intensive farming system. Agric Ecosyst Environ 179:78–86
Rollin O, Pérez-Méndez N, Bretagnolle V, Henry M (2019) Preserving habitat quality at local and landscape scales increases wild bee diversity in intensive farming systems. Agric Ecosyst Environ 275:73–80
Spaethe J, Tautz J, Chittka L (2001) Visual constraints in foraging bumblebees: flower size and color affect search time and flight behavior. Proc Natl Acad Sci 98(7):3898–4390
Steffan-Dewenter I, Münzenberg U, Bürger C, Thies C, Tscharntke T (2002) Scale-dependent effets of landscape context on three pollinator guilds. Ecology 83(5):1421–1432
Strobl C, Boulesteix A-L, Zeileis A, Hothorn T (2007) Bias in random forest variable importance measures: illustrations, sources and a solution. BMC Bioinform 8(1):25
Strobl C, Boulesteix A-L, Kneib T, Augustin T, Zeileis A (2008) Conditional variable importance for random forests. BMC Bioinform 9(1):307
Sutherland JP, Sullivan MS, Poppy GM (1999) The influence of floral character on the foraging behaviour of the hoverfly. Episyrphus Balteatus Entomologia Experimentalis Et Applicata 93(2):157–164
Timberlake TP, Vaughan IP, Memmott J (2019) Phenology of farmland floral resources reveals seasonal gaps in nectar availability for bumblebees. J Appl Ecol 56(7):1585–1596
Turner MG (1989) Landscape ecology: the effect of pattern on process. Annu Rev Ecol Syst 20(1):171–197
Twerski A, Albrecht H, Fründ J, Moosner M, Fischer C (2022) Effects of rare arable plants on flower-visiting wild bees in agricultural fields. Agric Ecosyst Environ 323:107685
van Rijn PCJ, Wäckers FL (2016) Nectar accessibility determines fitness, flower choice and abundance of hoverflies that provide natural pest control. J Appl Ecol 53(3):925–933
Vanreusel W, Van Dyck H (2007) When functional habitat does not match vegetation types: a resource-based approach to map butterfly habitat. Biol Conserv 135(2):202–211
Venables WN, Ripley BD (2002) Modern applied statistics with S, 4th edn. Springer, New York
Vialatte A, Tsafack N, Hassan DA, Duflot R, Plantegenest M, Ouin A, Villenave-Chasset J, Ernoult A (2017) Landscape potential for pollen provisioning for beneficial insects favours biological control in crop fields. Landsc Ecol 32(3):465–480
Welti EAR, Joern A (2018) Fire and grazing modulate the structure and resistance of plant–floral visitor networks in a tallgrass prairie. Oecologia 186(2):517–528
Williams NM, Kremen C (2007) Resource distributions among habitats determine solitary bee offspring production in a mosaic landscape. Ecol Appl 17(3):910–921
Williams NM, Regetz J, Kremen C (2012) Landscape-scale resources promote colony growth but not reproductive performance of bumble bees. Ecology 93(5):1049–1058
Winfree R, Aguilar R, Vázquez DP, LeBuhn G, Aizen MA (2009) A meta-analysis of bees’ responses to anthropogenic disturbance. Ecology 90(8):2068–2076
Zhang D (2022) rsq: R-squared and related measures. R package version 2.5
Acknowledgements
We warmly thank the farmers who gave permission to perform flower-visiting insects’ surveys on their farms. We also thank Gérard Savary, Arnaud Maillard and Jean-Luc Roger for their help in collecting land cover information. The study was supported by the TRY initiative on plant traits (http://www.try-db.org). The TRY initiative and database are hosted, developed and maintained by J. Kattge and G. Bönisch (Max Planck Institute for Biogeochemistry, Jena, Germany). TRY is currently supported by DIVERSITAS/Future Earth and the German Centre for Integrative Biodiversity Research (iDiv) Halle-‐Jena-‐Leipzig. We also thank Rebecca Spake and the reviewers for their constructive comments on the manuscript.
Funding
This work was supported by the Zone Atelier Armorique. Audrey Alignier has received research support for the FLORAG project (2020) and Nathan Lenestour’s internship, and Stéphanie Aviron has received research support for the DIVAG project (2019).
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AA, SA, CLL and JvB contributed to the study conception and design. Material preparation and data collection were performed by NL, EJ, LU and CR. Data analysis was performed by NL and AA. The first draft of the manuscript was written by AA and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
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Alignier, A., Lenestour, N., Jeavons, E. et al. Floral resource maps: a tool to explain flower-visiting insect abundance at multiple spatial scales. Landsc Ecol 38, 1511–1525 (2023). https://doi.org/10.1007/s10980-023-01643-9
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DOI: https://doi.org/10.1007/s10980-023-01643-9