@article{Pan_Marshall_Biesmeijer_R. de Snoo_2022, title={The distributions of insect, wind and self pollination of plants in the Netherlands in relation to habitat types and 3D vegetation structure}, volume={31}, url={https://www.pollinationecology.org/index.php/jpe/article/view/684}, DOI={10.26786/1920-7603(2022)684}, abstractNote={<p>Plants can be pollinated in many ways, with insect, wind and selfing as the most common modes. While it seems likely that the occurrence of pollination modes is correlated with environmental conditions, e.g. vegetation structure, and this remains uncertain. Here, we mapped the composition of pollination modes of different plant groups (woody species, herbs, and grasses) across (semi-)natural habitats and their distributions in relation to 3D vegetation structure in the Netherlands. We found insect pollination is the most common mode across (semi-)natural habitats for woody species and herbs. Woody species pollinated by insects showed an even higher percentage in dune, river swamp and swamp peat than in other habitat types, whereas herbs showed a higher percentage of insect pollination in dune than in other habitat types. Grasses were always pollinated by wind or wind-self in all habitats. Woody plants pollinated by wind showed a positive relationship with canopy densities in three different strata from 2 to 20 m vegetation, while insect pollination showed a positive relationship with the canopy density of 0.5 to 2 m vegetation. All grass presented negative relationships with canopy density. Herbs showed different relationships with canopy densities of different strata dependent on pollination modes. Insect-pollinated species increased with canopy densities of low strata but decreased with canopy density of high strata, whereas wind-pollinated species decreased with canopy density of both low and high strata. We conclude that habitat and vegetation structure are important factors driving the distribution of pollination modes.</p>}, journal={Journal of Pollination Ecology}, author={Pan, Kaixuan and Marshall, Leon and Biesmeijer, Koos and R. de Snoo, Geert}, year={2022}, month={Apr.}, pages={16–28} }