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A. Bateman, John Horticulwral (1947)
Contamination in seed cropsHeredity, 1
H. Wickham, Mara Averick, Jennifer Bryan, Winston Chang, Lucy McGowan, Romain François, Garrett Grolemund, Alex Hayes, Lionel Henry, J. Hester, M. Kuhn, Thomas Pedersen, Evan Miller, S. Bache, K. Müller, Jeroen Ooms, David Robinson, D. Seidel, Vitalie Spinu, Kohske Takahashi, Davis Vaughan, Claus Wilke, Kara Woo, Hiroaki Yutani (2019)
Welcome to the TidyverseJ. Open Source Softw., 4
A. Schmidt‐Lebuhn, Matthias Müller, Paola Inofuentes, Francisco Viso, M. Kessler (2019)
Pollen analogues are transported across greater distances in bee‐pollinated than in hummingbird‐pollinated species of Justicia (Acanthaceae)Biotropica, 51
K. Orford, I. Vaughan, J. Memmott (2015)
The forgotten flies: the importance of non-syrphid Diptera as pollinatorsProceedings of the Royal Society B: Biological Sciences, 282
S. Johnson (2010)
The pollination niche and its role in the diversification and maintenance of the southern African floraPhilosophical Transactions of the Royal Society B: Biological Sciences, 365
C. Dormann, Jochen Fründ, N. Blüthgen, B. Gruber (2009)
Indices, Graphs and Null Models: Analyzing Bipartite Ecological NetworksThe Open Ecology Journal, 2
Mikko Tiusanen, Tuomas Kankaanpää, N. Schmidt, T. Roslin (2020)
Heated rivalries: Phenological variation modifies competition for pollinators among arctic plantsGlobal Change Biology, 26
(2020)
Is heterospecific pollen receipt the missing link in understanding pollen limitation of plant reproduction?American journal of botany
G. Benadi, R. Gegear (2018)
Adaptive Foraging of Pollinators Can Promote Pollination of a Rare Plant SpeciesThe American Naturalist, 192
D. Lüdecke, Mattan Ben-Shachar, Indrajeet Patil, Philip Waggoner, D. Makowski (2021)
performance: An R Package for Assessment, Comparison and Testing of Statistical ModelsJ. Open Source Softw., 6
N. Waser (2004)
Interspecific pollen transfer and competition between co-occurring plant speciesOecologia, 36
W. S. Armbruster (2017)
The specialization continuum in pollination systems: Diversity of concepts and implications for ecology, evolution and conservation, 31
G. Ballantyne, Katherine Baldock, P. Willmer (2015)
Constructing more informative plant–pollinator networks: visitation and pollen deposition networks in a heathland plant communityProceedings of the Royal Society B: Biological Sciences, 282
G. Arceo‐Gómez, Amelia Schroeder, Cristopher Albor, T. Ashman, T. Knight, Joanne Bennett, Brian Suarez, V. Parra‐Tabla (2019)
Global geographic patterns of heterospecific pollen receipt help uncover potential ecological and evolutionary impacts across plant communities worldwideScientific Reports, 9
Liam Kendall, J. Mola, Zachary Portman, Daniel Cariveau, Henrik Smith, I. Bartomeus (2022)
The potential and realized foraging movements of bees are differentially determined by body size and socialityEcology, 103
S. Richards, N. Williams, L. Harder (2009)
Variation in Pollination: Causes and Consequences for Plant ReproductionThe American Naturalist, 174
Abigail Lowe, Laura Jones, L. Witter, S. Creer, Natasha Vere (2022)
Using DNA Metabarcoding to Identify Floral Visitation by PollinatorsDiversity
G. Ballantyne, Katherine Baldock, L. Rendell, Pat Willmer (2017)
Pollinator importance networks illustrate the crucial value of bees in a highly speciose plant communityScientific Reports, 7
K. Bell, Julie Fowler, K. Burgess, Emily Dobbs, David Gruenewald, B. Lawley, Connor Morozumi, B. Brosi (2017)
Applying pollen DNA metabarcoding to the study of plant–pollinator interactions1Applications in Plant Sciences, 5
C. Morales, A. Traveset (2008)
Interspecific Pollen Transfer: Magnitude, Prevalence and Consequences for Plant FitnessCritical Reviews in Plant Sciences, 27
M. Santos, R. Cajaiba, D. Gonzalez, Pedro Leote, Daniel Ferreira, R. Bastos, W. Silva, J. Cabral (2020)
How accurate are estimates of flower visitation rates by pollinators? Lessons from a spatially explicit agent-based modelEcol. Informatics, 57
T. Palmer, M. Stanton, T. Young (2003)
Competition and Coexistence: Exploring Mechanisms That Restrict and Maintain Diversity within Mutualist GuildsThe American Naturalist, 162
T. Ashman, G. Arceo‐Gómez (2013)
Toward a predictive understanding of the fitness costs of heterospecific pollen receipt and its importance in co-flowering communities.American journal of botany, 100 6
K. Leiss, P. Klinkhamer (2005)
Spatial distribution of nectar production in a natural Echium vulgare population: Implications for pollinator behaviourBasic and Applied Ecology, 6
Mollie Brooks, K. Kristensen, K. Benthem, A. Magnusson, Casper Berg, Anders Nielsen, H. Skaug, M. Mächler, B. Bolker (2017)
glmmTMB Balances Speed and Flexibility Among Packages for Zero-inflated Generalized Linear Mixed ModelingR J., 9
Myriam Hirt, Tobias Lauermann, U. Brose, L. Noldus, A. Dell (2017)
The little things that run: a general scaling of invertebrate exploratory speed with body mass.Ecology, 98 11
J. Stavert, G. Liñán-Cembrano, J. Beggs, B. Howlett, D. Pattemore, I. Bartomeus (2016)
Hairiness: the missing link between pollinators and pollinationPeerJ, 4
B. Howlett, L. Evans, D. Pattemore, Warrick Nelson (2017)
Stigmatic pollen delivery by flies and bees: Methods comparing multiple species within a pollinator communityBasic and Applied Ecology, 19
Adrian Carper, L. Adler, Rebecca Irwin (2016)
Effects of florivory on plant-pollinator interactions: Implications for male and female components of plant reproduction.American journal of botany, 103 6
J. Biesmeijer, Stuart Roberts, M. Reemer, R. Ohlemüller, M. Edwards, T. Peeters, T. Peeters, A. Schaffers, S. Potts, R. Kleukers, C. Thomas, J. Settele, W. Kunin (2006)
Parallel Declines in Pollinators and Insect-Pollinated Plants in Britain and the NetherlandsScience, 313
N. Nagelkerke (1991)
A note on a general definition of the coefficient of determinationBiometrika, 78
Liam Kendall, R. Rader, V. Gagic, Daniel Cariveau, M. Albrecht, Katherine Baldock, B. Freitas, M. Hall, A. Holzschuh, Francisco Molina, J. Morten, Janaely Pereira, Zachary Portman, Stuart Roberts, Juanita Rodriguez, L. Russo, L. Sutter, N. Vereecken, I. Bartomeus (2019)
Pollinator size and its consequences: Robust estimates of body size in pollinating insectsEcology and Evolution, 9
A. J. Bateman (1947)
Contamination of seed crops. III. Relation with isolation distance, 1
Jay Gao (2021)
Spatial SimulationFundamentals of Spatial Analysis and Modelling
M. Santiago-Hernández, S. Martén-Rodríguez, M. Lopezaraiza‐Mikel, K. Oyama, A. González‐Rodríguez, M. Quesada (2019)
The role of pollination effectiveness on the attributes of interaction networks: from floral visitation to plant fitness.Ecology
G. Viswanathan, S. Buldyrev, S. Havlin, M. Luz, E. Raposo, H. Stanley (1999)
Optimizing the success of random searchesNature, 401
D. Goulson, M. Hanley, B. Darvill, J. Ellis, M. Knight (2005)
Causes of rarity in bumblebeesBiological Conservation, 122
L. Harder (1990)
Pollen Removal by Bumble Bees and Its Implications for Pollen DispersalEcology, 71
A. Newton, D. Boscolo, P. Ferreira, L. Lopes, P. Evans (2018)
Impacts of deforestation on plant-pollinator networks assessed using an agent based modelPLoS ONE, 13
J. Cane (1987)
Estimation of bee size using intertegular span (Apoidea)Journal of the Kansas Entomological Society, 60
Yoko Dupont, Kristian Trøjelsgaard, M. Hagen, Marie Henriksen, Jens Olesen, Nanna Pedersen, Werner Kissling (2014)
Spatial structure of an individual-based plant-pollinator networkOikos, 123
J. Bascompte, P. Jordano, Carlos Melián, J. Olesen (2003)
The nested assembly of plant–animal mutualistic networksProceedings of the National Academy of Sciences of the United States of America, 100
A. K. Broz, P. A. Bedinger (2021)
Pollen‐pistil interactions as reproductive barriers, 72
B. Arroyo‐Correa, I. Bartomeus, P. Jordano (2021)
Individual‐based plant–pollinator networks are structured by phenotypic and microsite plant traits, 109
K. C. R. Baldock, J. Memmott, J. C. Ruiz‐Guajardo, D. Roze, G. N. Stone (2011)
Daily temporal structure in African savanna flower visitation networks and consequences for network sampling, 92
W. Venables, B. Ripley (2010)
Modern Applied Statistics with S
The arrangement of plant species within a landscape influences pollination via changes in pollinator movement trajectories and plant–pollinator encounter rates. Yet the combined effects of landscape composition and pollinator traits (especially specialisation) on pollination success remain hard to quantify empirically. We used an individual‐based model to explore how landscape and pollinator specialisation (degree) interact to influence pollination. We modelled variation in the landscape by generating gradients of plant species intermixing—from no mixing to complete intermixing. Furthermore, we varied the level of pollinator specialisation by simulating plant–pollinator (six to eight species) networks of different connectance. We then compared the impacts of these drivers on three proxies for pollination: visitation rate, number of consecutive visits to the focal plant species and expected number of plants pollinated. We found that the spatial arrangements of plants and pollinator degree interact to determine pollination success, and that the influence of these drivers on pollination depends on how pollination is estimated. For most pollinators, visitation rate increases in more plant mixed landscapes. Compared to the two more functional measures of pollination, visitation rate overestimates pollination service. This is particularly severe in landscapes with high plant intermixing and for generalist pollinators. Interestingly, visitation rate is less influenced by pollinator traits (pollinator degree and body size) than are the two functional metrics, likely because ‘visitation rate’ ignores the order in which pollinators visit plants. However, the visitation sequence order is crucial for the expected number of plants pollinated, since only prior visits to conspecific individuals can contribute to pollination. We show here that this order strongly depends on the spatial arrangements of plants, on pollinator traits and on the interaction between them. Taken together, our findings suggest that visitation rate, the most commonly used proxy for pollination in network studies, should be complemented with more functional metrics which reflect the frequency with which individual pollinators revisit the same plant species. Our findings also suggest that measures of landscape structure such as plant intermixing and density—in combination with pollinators' level of specialism—can improve estimates of the probability of pollination.
Functional Ecology – Wiley
Published: Jul 1, 2023
Keywords: agent‐based model; habitat heterogeneity; movement ecology; Netlogo; patch size; visitation rate
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