Fitness consequences of fish circadian behavioural variation in exploited marine environments
Authored by Josep Alos, Martina Martorell-Barcelo, Andrea Campos-Candela
Date Published: 2018
DOI: 10.7717/peerj.4814
Sponsors:
No sponsors listed
Platforms:
R
Model Documentation:
Other Narrative
Model Code URLs:
https://dfzljdn9uc3pi.cloudfront.net/2018/4814/1/Supplementary_Material_2_RCode_Martorell-Barcelo_et_al_2018.zip
Abstract
The selective properties of fishing that influence behavioural traits
have recently gained interest. Recent acoustic tracking experiments have
revealed between individual differences in the circadian behavioural
traits of marine free-living fish; these differences are consistent
across time and ecological contexts and generate different chronotypes.
Here, we hypothesised that the directional selection resulting from
fishing influences the wild circadian behavioural variation and affects
differently to individuals in the same population differing in certain
traits such as awakening time or rest onset time. We developed a
spatially explicit social-ecological individual-based model (IBM) to
test this hypothesis. The parametrisation of our IBM was fully based on
empirical data; which represent a fishery formed by patchily distributed
diurnal resident fish that are exploited by a fleet of mobile boats
(mostly bottom fisheries). We ran our IBM with and without the observed
circadian behavioural variation and estimated selection gradients as a
quantitative measure of trait change. Our simulations revealed
significant and strong selection gradients against early-riser
chronotypes when compared with other behavioural and life history
traits. Significant selection gradients were consistent across a wide
range of fishing effort scenarios. Our theoretical findings enhance our
understanding of the selective properties of fishing by bridging the
gaps among three traditionally separated fields: fisheries science,
behavioural ecology and chronobiology. We derive some general
predictions from our theoretical findings and outline a list of
empirical research needs that are required to further understand the
causes and consequences of circadian behavioural variation in marine
fish.
Tags
Individual-based model
selection
Size
Wild
Fisheries-induced evolution
Parus-major
Ecological consequences
Animal
movement
Selection gradient
Chronotypes
Circadian behavioural traits
Fisheries induced-evolution
Living great tits
Sleep behavior
Pearly razorfish