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Journal Article

Toward trait‐based food webs: Universal traits and trait matching in planktonic predator–prey and host–parasite relationships

Elena Litchman; Kyle F. Edwards; Philip W. Boyd
Limnology and Oceanography · Vol. 66, Issue 11 · pp. 3857-3872 · 2021

Abstract

There is a growing consensus that traits offer a powerful way to examine the relationship between the environment, organismal strategies, species interactions, and ecological success. To date, trait‐based research has largely been focusing on individual trophic levels and not on cross‐level interactions. Looking at traits not only within but across trophic levels and identifying traits that together define trophic interactions holds a great potential for understanding the mechanisms of interactions. Here, we outline the conceptual foundation for cross‐trophic trait‐based frameworks, using planktonic food webs as an example. First, we compile a list of traits important within different individual trophic levels and show that there are traits that are common across trophic levels (“universal” traits), as well as trophic level‐specific traits. Next, we focus on traits that characterize interactions across trophic levels, focusing on two types of interaction—grazer–primary producer and host–parasite, identifying the similarities and differences between these interactions. We outline the trait hierarchies that define possible and realized intertrophic interactions and their strengths. We then highlight the importance of trade‐offs among those traits in shaping interactions and explaining general patterns in the structure and function of food webs. Finally, we discuss the environmental influences on traits, their eco‐evolutionary responses to changing conditions and how those responses may alter trophic interactions. The extension of trait‐based approaches from individual trophic levels to food webs and different trophic interactions should stimulate further conceptual development, enrich the field of aquatic sciences, and provide a framework to better predict global change effects on ecosystems.

Bibliographic Information

JournalLimnology and Oceanography
PublisherWiley
Publication Date2021-11-01
Publication Year2021
Volume66
Issue11
Pages3857-3872
Document TypeJournal Article
Print ISSN0024-3590
eISSN1939-5590
DOI10.1002/lno.11924
SubjectAquatic Science

Access Information

NARA Access Coverage1997-01-01~Current
Journal Homepagehttps://aslopubs.onlinelibrary.wiley.com/loi/19395590
Publisher PageOpen Publisher Page
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