Field Experiments of Pollination Ecology: The Case of &lt;em&gt;Lycoris sanguinea&lt;/em&gt; var. &lt;em&gt;sanguinea&lt;/em&gt;

Yamaji, Futa; Ohsawa, Takeshi

doi:10.3791/54728

Cited by 1 publication

(2 citation statements)

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“…Historically, these approaches include flower bagging experiments, observations of floral visitation, and pollen identification from insect specimens as described above. These approaches are rarely combined, and pollination studies are dominated by observational methods and quantitative literature reviews, typically with a focus on flower visitation observations for estimating network parameters (Yamaji and Ohsawa, 2016;Colom et al, 2021;Mendes et al, 2022). Visitation network studies typically consist of observation periods in which the researcher observes and records the visitors to a particular plant in an allotted time period.…”

Section: Data Collection and Pollen Analysismentioning

confidence: 99%

“…Additionally, many observation hours over relatively long temporal scales may be required to accurately and adequately characterize these interaction networks (Kaiser-Bunbury et al, 2009). Flower bagging experiments involve isolating inflorescences with bags to assess the effects of pollinator exclusions, and pollination events can be closely monitored upon removal of the bag (Yamaji and Ohsawa, 2016;Aslan et al, 2019). This method is valuable for assessing the effectiveness of individual pollinators, but can be time-consuming, and may be inefficient and impractical for community-level studies.…”

Section: Data Collection and Pollen Analysismentioning

confidence: 99%

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Modern approaches for leveraging biodiversity collections to understand change in plant-insect interactions

et al. 2022

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Research on plant-pollinator interactions requires a diversity of perspectives and approaches, and documenting changing pollinator-plant interactions due to declining insect diversity and climate change is especially challenging. Natural history collections are increasingly important for such research and can provide ecological information across broad spatial and temporal scales. Here, we describe novel approaches that integrate museum specimens from insect and plant collections with field observations to quantify pollen networks over large spatial and temporal gradients. We present methodological strategies for evaluating insect-pollen network parameters based on pollen collected from museum insect specimens. These methods provide insight into spatial and temporal variation in pollen-insect interactions and complement other approaches to studying pollination, such as pollinator observation networks and flower enclosure experiments. We present example data from butterfly pollen networks over the past century in the Great Basin Desert and Sierra Nevada Mountains, United States. Complementary to these approaches, we describe rapid pollen identification methods that can increase speed and accuracy of taxonomic determinations, using pollen grains collected from herbarium specimens. As an example, we describe a convolutional neural network (CNN) to automate identification of pollen. We extracted images of pollen grains from 21 common species from herbarium specimens at the University of Nevada Reno (RENO). The CNN model achieved exceptional accuracy of identification, with a correct classification rate of 98.8%. These and similar approaches can transform the way we estimate pollination network parameters and greatly change inferences from existing networks, which have exploded over the past few decades. These techniques also allow us to address critical ecological questions related to mutualistic networks, community ecology, and conservation biology. Museum collections remain a bountiful source of data for biodiversity science and understanding global change.

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Section: Data Collection and Pollen Analysismentioning

confidence: 99%