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Habitat modification alters the structure of tropical host–parasitoid food webs

Author

Listed:
  • Jason M. Tylianakis

    (Georg August University
    University of Canterbury)

  • Teja Tscharntke

    (Georg August University)

  • Owen T. Lewis

    (University of Oxford)

Abstract

A tangled web Global change has the potential to influence species interactions, but the consequences for ecosystem function and stability are hard to predict. Quantitative food webs provide a powerful tool to probe such questions, but to date they have been used mainly to describe individual communities. A study of 48 plots in the Choco-Manabi region of Ecuador, where large-scale agriculture threatens biodiversity, now confirms that human habitat modification can dramatically affect networks of feeding interactions among species in host–parasitoid food webs. The switch from tropical rainforest to intensive agriculture has negative consequences for bees and wasps, which are important for pollination and biological pest control.

Suggested Citation

  • Jason M. Tylianakis & Teja Tscharntke & Owen T. Lewis, 2007. "Habitat modification alters the structure of tropical host–parasitoid food webs," Nature, Nature, vol. 445(7124), pages 202-205, January.
    • Handle: RePEc:nat:nature:v:445:y:2007:i:7124:d:10.1038_nature05429
    DOI: 10.1038/nature05429
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    Cited by:

    1. Francesca Della Rocca & Arianna Tagliani & Pietro Milanesi & Matteo Barcella & Silvia Paola Assini, 2023. "Contrasting Response of Mountain Plant-Pollinator Network to Fragmented Semi-Natural Grasslands," Land, MDPI, vol. 12(2), pages 1-17, January.
    2. J. Mohd-Azlan & S. Conway & T. J. P. Travers & M. J. Lawes, 2023. "The Filtering Effect of Oil Palm Plantations on Potential Insect Pollinator Assemblages from Remnant Forest Patches," Land, MDPI, vol. 12(6), pages 1-20, June.
    3. Zhang, Yufei & Bian, Zhenxing & Wang, Shuai & Guo, Xiaoyu & Zhou, Wei, 2024. "Effect of agricultural landscape pattern on the qualitative food web of epigaeic arthropods in low hilly areas of northern China," Ecological Modelling, Elsevier, vol. 488(C).

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