caa a22 4500 606193537 CHVBK 20210128100910.0 cr unu---uuuuu 210128e20150701xx s 000 0 eng 10.1007/s10682-015-9761-z doi (NATIONALLICENCE)springer-10.1007/s10682-015-9761-z The screening game in plant-pollinator interactions [Elektronische Daten] [Shan Sun, Jan Rychtář] A central question in the field of plant-pollinator interactions is whether and how can plants choose the optimal pollinators when plants cannot directly assess the quality of floral visitors. To answer this question and to provide a new perspective to this problem, we develop a screening game modeling the plant-pollinator interaction. We propose that some floral traits could be interpreted as an entry barrier with a strategic cost the plants impose on floral visitors. The pollinators decide to further interact with the plant only if the cost is not prohibitive. Therefore, by imposing the right level of costs, the plants may achieve interactions only with high-quality pollinators without a priori knowing the quality of visitors. Springer International Publishing Switzerland, 2015 Cooperation nationallicence Game theory nationallicence Demanding environment nationallicence Self-screening nationallicence Sun Shan State Key Laboratory of Grassland and Agro-Ecosystems, School of Life Sciences, Lanzhou University, 730000, Lanzhou, People's Republic of China aut Rychtář Jan Department of Mathematics and Statistics, The University of North Carolina at Greensboro, Greensboro, NC, USA aut Evolutionary Ecology Springer International Publishing 29/4(2015-07-01), 479-487 0269-7653 29:4<479 2015 29 10682 https://doi.org/10.1007/s10682-015-9761-z text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10682-015-9761-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Sun Shan State Key Laboratory of Grassland and Agro-Ecosystems, School of Life Sciences, Lanzhou University, 730000, Lanzhou, People's Republic of China aut NATIONALLICENCE 700 1- Rychtář Jan Department of Mathematics and Statistics, The University of North Carolina at Greensboro, Greensboro, NC, USA aut NATIONALLICENCE 773 0- Evolutionary Ecology Springer International Publishing 29/4(2015-07-01), 479-487 0269-7653 29:4<479 2015 29 10682