Comparative functional responses of native and high impacting invasive fishes: impact predictions for native prey populations.

Guo, Z., Sheath, D., Amat Trigo, F. and Britton, R.J., 2016. Comparative functional responses of native and high impacting invasive fishes: impact predictions for native prey populations. Ecology of Freshwater Fish. (In Press)

Full text available as:

Functional response cyprinid invaders_accepted.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial.


DOI: 10.1111/eff.12297


Comparative functional responses (FRs) can predict impacts of invasive species,including piscivorous fishes, via quantifying their depletion of native food resources as a function of prey density. The utility of FRs for predicting impacts on prey populations by invasive fishes of different trophic guilds was tested here by comparing the FRs of the invaders Cyprinus carpio and Carassius auratus, with three native, trophically analogous fishes, Barbus barbus, Squalius cephalus and Tinca tinca. Chironomid larvae and Gammarus pulex were used a prey items. Predictions,developed from studies on the foraging of C. carpio and C. auratus in the literature,were that the invaders would have significantly higher consumption rates for chironomids than the native fishes, but not for G. pulex. Mean consumption rates for chironomids were significantly lower for both invaders than B. barbus and S.cephalus, but were similar to T. tinca. Barbus barbus had a significantly lower consumption rate of G. pulex than both invaders, but there were no significant differences between S. cephalus, T.tinca and the invaders. All FRs were type II, with functional response curves for the invaders preying upon chironomids never being significantly higher than the native fishes, contrary to predictions. For G. pulex,some significant differences were apparent between the invaders and native fishes, but again were contrary to predictions. These results indicated that when predation impacts of invasive fishes could also be a function of their population density and body sizes, these parameters should be incorporated into FR models to improve impact predictions.

Item Type:Article
Additional Information:Funded by Erasmus Mundus programme “TECHNO” Natural Environment Research Council. Grant Number: NE/J016675/1
Group:Faculty of Science & Technology
ID Code:23778
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:06 Jun 2016 15:08
Last Modified:03 Aug 2016 13:12


Downloads per month over past year

More statistics for this item...
Repository Staff Only -