Back to Search
Start Over
Predictive power of food web models based on body size decreases with trophic complexity
- Source :
- Ecology letters. 21(5)
- Publication Year :
- 2017
-
Abstract
- Food web models parameterised using body size show promise to predict trophic interaction strengths (IS) and abundance dynamics. However, this remains to be rigorously tested in food webs beyond simple trophic modules, where indirect and intraguild interactions could be important and driven by traits other than body size. We systematically varied predator body size, guild composition and richness in microcosm insect webs and compared experimental outcomes with predictions of IS from models with allometrically scaled parameters. Body size was a strong predictor of IS in simple modules (r(2)=0.92), but with increasing complexity the predictive power decreased, with model IS being consistently overestimated. We quantify the strength of observed trophic interaction modifications, partition this into density-mediated vs. behaviour-mediated indirect effects and show that model shortcomings in predicting IS is related to the size of behaviour-mediated effects. Our findings encourage development of dynamical food web models explicitly including and exploring indirect mechanisms. CC BY 4.0
- Subjects :
- 0106 biological sciences
Food Chain
Insecta
Interaction strength
Nutritional Status
Body size
010603 evolutionary biology
01 natural sciences
Allometric trophic network model
Abundance (ecology)
Statistics
Animals
Body Size
body size ratio
indirect effects
Ecology, Evolution, Behavior and Systematics
Trophic level
Mathematics
predator-prey interaction
Ekologi
indirect interactions
trophic interaction modification
Ecology
010604 marine biology & hydrobiology
interaction strength
Food web
non-consumptive effect
Predatory Behavior
Guild
Predictive power
Microcosm
species' traits
Subjects
Details
- ISSN :
- 14610248
- Volume :
- 21
- Issue :
- 5
- Database :
- OpenAIRE
- Journal :
- Ecology letters
- Accession number :
- edsair.doi.dedup.....2572ac564a5ef6f9d6f3ace2eb639f73