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Revealing how species loss affects ecosystem function: the trait-based Price Equation partition
Jeremy W Fox1, W Stanley Harpole
1Department of Biological Sciences, University of Calgary, 2500 University Drive NW, Calgary, Alberta T2N 1N4, Canada. jefox@ucalgary.ca
Species loss impacts ecosystem function by altering species richness, composition, and context. This study extends the Price Equation partition to a trait-based framework, revealing that changes in trait-function relationships drive ecosystem function shifts more than species loss itself.
Area of Science:
- Ecology
- Ecosystem Science
- Theoretical Ecology
Background:
- Species loss significantly alters ecosystem functions, such as primary production.
- The Price Equation partition framework quantifies effects of species loss on ecosystem function, categorizing them into species-richness effect (SRE), species-composition effect (SCE), and context-dependence effect (CDE).
- Existing frameworks do not fully explain the determinants of individual species' functional contributions.
Purpose of the Study:
- To extend the Price Equation partition by incorporating species' traits to better understand how species loss affects ecosystem function.
- To re-express the species-composition effect (SCE) and context-dependence effect (CDE) in a trait-based manner.
- To investigate the relative importance of trait-based SCE and CDE in altering ecosystem function following species loss.
Main Methods:
- Developed a trait-based Price Equation partition using multiple regression to link species' traits to their functional contributions.
- Applied the trait-based framework to empirical data from grassland plant communities and protist microcosm food webs.
- Introduced "synecological" traits to account for context-dependent effects arising from interspecific trait variation.
Main Results:
- In both grassland and protist studies, post-loss changes in the relationship between species' traits and their functional contributions (trait-based CDE) had a greater impact on ecosystem function than the nonrandom loss of species with specific traits (trait-based SCE).
- The protist microcosm data demonstrated that species loss can alter the "diet uniqueness" of remaining species, contributing to context dependence.
- Trait-based CDE was identified as a key driver of ecosystem function alterations following species loss.
Conclusions:
- The trait-based Price Equation partition provides a more mechanistic understanding of how species loss impacts ecosystem function.
- Changes in the relationship between species traits and their functions are critical drivers of ecosystem change, often surpassing the direct effects of losing specific species.
- This framework is applicable to complex ecological communities, including those with interdependencies between species traits.
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