Windborne migration amplifies insect-mediated pollination services

  1. Huiru Jia
  2. Yongqiang Liu
  3. Xaiokang Li
  4. Hui Li
  5. Yunfei Pan
  6. Chaoxing Hu
  7. Xainyong Zhou
  8. Kris AG Wyckhuys
  9. Kongming Wu  Is a corresponding author
  1. Chinese Academy of Agricultural Sciences, China
  2. Guizhou University, China

Abstract

Worldwide, hoverflies (Syrphidae: Diptera) provide crucial ecosystem services such as pollination and biological pest control. Although many hoverfly species exhibit migratory behavior, the spatiotemporal facets of these movement dynamics and their ecosystem services implications are poorly understood. In this study, we use long-term (16 yr) trapping records, trajectory analysis and intrinsic (i.e., isotope, genetic, pollen) markers to describe migration patterns of the hoverfly Episyrphus balteatus in northern China. Our work reveals how E. balteatus migrate northward during spring-summer and exhibits return (long-range) migration during autumn. The extensive genetic mixing and high genetic diversity of E. balteatus populations underscore its adaptive capacity to environmental disturbances e.g., climate change. Pollen markers and molecular gut-analysis further illuminate how E. balteatus visits min. 1,012 flowering plant species (39 orders) over space and time. By thus delineating E. balteatus trans-regional movements and pollination networks, we advance our understanding of its migration ecology and facilitate the design of targeted strategies to conserve and enhance its ecosystem services.

Data availability

The raw MiSeq data from DNA metabarcoding of gut contents has been deposited at NCBI Sequence Read Archive (SRA) under BioProject PRJNA816296. All data supporting the findings of this study are available within the Article, the Extended Data and the Supplementary Information files.

The following data sets were generated

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Author details

  1. Huiru Jia

    Chinese Academy of Agricultural Sciences, Beijing, China
    Competing interests
    The authors declare that no competing interests exist.
  2. Yongqiang Liu

    Chinese Academy of Agricultural Sciences, Beijing, China
    Competing interests
    The authors declare that no competing interests exist.
  3. Xaiokang Li

    Chinese Academy of Agricultural Sciences, Beijing, China
    Competing interests
    The authors declare that no competing interests exist.
  4. Hui Li

    Chinese Academy of Agricultural Sciences, Beijing, China
    Competing interests
    The authors declare that no competing interests exist.
  5. Yunfei Pan

    Chinese Academy of Agricultural Sciences, Beijing, China
    Competing interests
    The authors declare that no competing interests exist.
  6. Chaoxing Hu

    Guizhou University, Guiyang, China
    Competing interests
    The authors declare that no competing interests exist.
  7. Xainyong Zhou

    Chinese Academy of Agricultural Sciences, Beijing, China
    Competing interests
    The authors declare that no competing interests exist.
  8. Kris AG Wyckhuys

    Chinese Academy of Agricultural Sciences, Beijing, China
    Competing interests
    The authors declare that no competing interests exist.
  9. Kongming Wu

    Chinese Academy of Agricultural Sciences, Beijing, China
    For correspondence
    wukongming@caas.cn
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-3555-4292

Funding

The Laboratory of Lingnan Modern Agriculture Project (NT2021003)

  • Kongming Wu

The Agricultural Science and Technology Innovation Program Cooperation and Innovation Mission (CAAS-XTCX2018022)

  • Kongming Wu

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Copyright

© 2022, Jia et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

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  1. Huiru Jia
  2. Yongqiang Liu
  3. Xaiokang Li
  4. Hui Li
  5. Yunfei Pan
  6. Chaoxing Hu
  7. Xainyong Zhou
  8. Kris AG Wyckhuys
  9. Kongming Wu
(2022)
Windborne migration amplifies insect-mediated pollination services
eLife 11:e76230.
https://doi.org/10.7554/eLife.76230

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https://doi.org/10.7554/eLife.76230