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Seasonal patterns of behaviour of a temperate coastal
fish: drivers and implications for vulnerability
David Villegas-Ríos, J. Alós, M. Palmer, R. Bañón, S. Barbieri,
A. Alonso-Fernández, F. Saborido-Rey
Grahamstown, 15th July 2013
1
 If catches represent fish abundance is an
old question1,2
 CPUE=q·N
 Catchability:
 Probability of a single fish to be caught
by a defined unit of fishing effort
 Often considered constant in stock
assessment
 Affected by a number of variables , e.g.
fish behaviour:
 Migrations
 Spawning aggregations
 Fish personality (boldness, activity)
 …
Background
1 Cooke JG, Beddington JR (1984). Math Med Biol 1:391-405
2 Pauly D, Hilborn R, Branch TA (2013) Nature 494:303-306 2
INTRODUCTION
 Relationship between environment (T)
and catchability (e.g. lobster3)
 Relationship between environment and
activity
 Relationship between activity and
catchability with telemetry (e.g.: cod4)
 The probability of catching a fish with
passive gears depends on (1) the
probability of the fish encountering
the gear and the (2) probability of being
trapped in it5
 In passive gears, fish behaviour is
important
Background
Catchability of lobster in Tasmania
(Ziegler et al., 2004)
3 Ziegler et al. (2004). Marine Biology, 145: 175-190
4 Olsen et al. (2012). Ecology and Evolution, 2(7): 1549-1562
5 Rudstam (1984). CJFAS, 41(8): 1252-1255
3
INTRODUCTION
 Many harvested nearshore fish species are
sedentary and move within a small home
range
 Many of them are fished in coastal areas
with passive gears (hook and line, gillnets,
traps…)
 In temperate environments, those fish are
subject to seasonal environmental cues
that may determine seasonal patterns in
the physiological state (feeding,
reproduction)
 More evident in capital breeders with
determinate fecundity
Background
Serranus cabrilla
Serranus scriba
Diplodus sargus
4
INTRODUCTION
Labrus bergylta
 NE Atlantic, Mediterranean
 Commercial and recreational interest
 Fished with gillnets (95%)6
 Sedentary species, small home range
(~0.1 km2)7
 High residency and site fidelity 7
 Diel behaviour, more active during
daytime 7
 Capital breeder, determinate fecundity 6
 Feeding in summer, reproduction in
winter 6
5
6 Villegas-Ríos et al. (2013). PhD Thesis
7 Villegas-Ríos et al. (2013). Journal of Sea Research, 80:61-71
INTRODUCTION
 Relate environmental cues, physiological state, fish behaviour and
catchability in a marine costal fish (Labrus bergylta)
Hypotheses
 H1: The existence of a seasonality in the environmental cues
determines physiological variations over the year which in turn
influence the behavioural pattern
 H2: The existence of a seasonal pattern of behaviour should
determine a pattern of fish catchability with passive gears
Objective
6
INTRODUCTION
Receiver array
 Twelve receivers (VR2W)
 Complete overlap in the study area
 Fixed in sandy bottom with auger anchors
 September 2011- September 2012
360º
7
MATERIAL AND METHODS
V13
V9
Fish tagging
 Hook and line and night diving
 25 individuals
 Surgery
 Residence index (DD/TP) in the
study area during the duration of the
experiment=0.99
Ø= 13 mm
6 g
Ø= 9 mm
2.9 g
8
MATERIAL AND METHODS
Behavioural variables
 Centers of activity (COAS) at 30 min time bins
 Home range based on Kernel utilization distributions
 Distance travelled: distance between consecutive centers of activity
 Estimated for 10d periods to reduce the inherent variability of the data
9
MATERIAL AND METHODS
Additional sampling
 Sea surface temperature (2 yr):
oceanographic buoy
 Biological sampling (2 yr)
 Reproductive activity: gonads from
1529 individuals collected in the local
fish markets. Reproductive state
(spawning vs. Non-spawning) based
on GSI and maturity ogive
 Feeding activity: gut weight from 570
individuals. F=stomach weight/gutted
weight
 Catchability (10 yr): artisanal fishing data
from a monitoring program (>800 hauls)
by scientists. Abundance index from UVC
10
MATERIAL AND METHODS
 Simple approach!
 Variables
 Drivers: temperature, reproductive activity and feeding activity
 Behaviour: home range size and distance travelled (activity)
 Catchability
 Difficult to assess cause-effect relationships from observational data
 Our strategy: to estimate and compare the phase (φ) of each variable
individually fitted to a sinusoidal function (julian day)
 Assumed sinusoidal cycle if β1 or β2 ≠ 0
Model
11
MATERIAL AND METHODS
Model
Temperature
 Temporal autocorrelation term
Home range size and distance travelled
 Temporal autocorrelation term
 Fish as random factor (mixed-model)
 Fish size as a continuous variable (β3)
Catchability
 Offset: panel lenght and haul time
12
MATERIAL AND METHODS
Results
 Significant sinusoidal cycle in
all cases except the home
range size
 Distance travelled influenced
by fish size
13
RESULTS AND DISCUSSION
Results
216.5
232.4
214.0
 Significant sinusoidal cycle in
all cases except the home
range size
 Distance travelled influenced
by fish size
 Clear relationship between sea
surface temperature and
physiological state
temperature
feeding
14
RESULTS AND DISCUSSION
reproduction
Results
216.5
232.4
214.0
176.0
 Significant sinusoidal cycle in
all cases except the home
range size
 Distance travelled influenced
by fish size
 Clear relationship between sea
surface temperature and
physiological state
 Relationship between
physiological state and activity activity
15
temperature
feeding
RESULTS AND DISCUSSION
reproduction
Results
216.5
232.4
214.0
176.0
173.8
 Significant sinusoidal cycle in
all cases except the home
range size
 Distance travelled influenced
by fish size
 Clear relationship between sea
surface temperature and
physiological state
 Relationship between
physiological state and activity
 Clear relationship between
activity and catchability
catchability
16
activity
temperature
reproduction
feeding
RESULTS AND DISCUSSION
Conclusions
 We used a simplistic approach that facilitated the interpretation of
the results
 Forced the variables to a lag of 6 months between maximum and
minimum
 There is an alternation between:
 a predominantly reproductive state with low activity in winter
and
 a predominantly feeding state of high activity when catchability
is higher in summer
17
RESULTS AND DISCUSSION
Conclusions
 The pattern of behaviour determines the pattern of catchability and
thus vulnerability, in agreement with other theoretical (Alós et al.,
2012) or experimental results (Biro and Post, 2008)
 Implications for stock assessment since catchability decouples
catches and abundance (temporal variation) and should be
considered in stock assessment models
 Highlights the need to study fish behaviour in coastal sedentary
fish, not only in migratory or highly-mobile species.
18
RESULTS AND DISCUSSION
Thanks!
villegas@iim.csic.es
19

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Villegas-Ríos at the 2nd ICFT South Africa

  • 1. Seasonal patterns of behaviour of a temperate coastal fish: drivers and implications for vulnerability David Villegas-Ríos, J. Alós, M. Palmer, R. Bañón, S. Barbieri, A. Alonso-Fernández, F. Saborido-Rey Grahamstown, 15th July 2013 1
  • 2.  If catches represent fish abundance is an old question1,2  CPUE=q·N  Catchability:  Probability of a single fish to be caught by a defined unit of fishing effort  Often considered constant in stock assessment  Affected by a number of variables , e.g. fish behaviour:  Migrations  Spawning aggregations  Fish personality (boldness, activity)  … Background 1 Cooke JG, Beddington JR (1984). Math Med Biol 1:391-405 2 Pauly D, Hilborn R, Branch TA (2013) Nature 494:303-306 2 INTRODUCTION
  • 3.  Relationship between environment (T) and catchability (e.g. lobster3)  Relationship between environment and activity  Relationship between activity and catchability with telemetry (e.g.: cod4)  The probability of catching a fish with passive gears depends on (1) the probability of the fish encountering the gear and the (2) probability of being trapped in it5  In passive gears, fish behaviour is important Background Catchability of lobster in Tasmania (Ziegler et al., 2004) 3 Ziegler et al. (2004). Marine Biology, 145: 175-190 4 Olsen et al. (2012). Ecology and Evolution, 2(7): 1549-1562 5 Rudstam (1984). CJFAS, 41(8): 1252-1255 3 INTRODUCTION
  • 4.  Many harvested nearshore fish species are sedentary and move within a small home range  Many of them are fished in coastal areas with passive gears (hook and line, gillnets, traps…)  In temperate environments, those fish are subject to seasonal environmental cues that may determine seasonal patterns in the physiological state (feeding, reproduction)  More evident in capital breeders with determinate fecundity Background Serranus cabrilla Serranus scriba Diplodus sargus 4 INTRODUCTION
  • 5. Labrus bergylta  NE Atlantic, Mediterranean  Commercial and recreational interest  Fished with gillnets (95%)6  Sedentary species, small home range (~0.1 km2)7  High residency and site fidelity 7  Diel behaviour, more active during daytime 7  Capital breeder, determinate fecundity 6  Feeding in summer, reproduction in winter 6 5 6 Villegas-Ríos et al. (2013). PhD Thesis 7 Villegas-Ríos et al. (2013). Journal of Sea Research, 80:61-71 INTRODUCTION
  • 6.  Relate environmental cues, physiological state, fish behaviour and catchability in a marine costal fish (Labrus bergylta) Hypotheses  H1: The existence of a seasonality in the environmental cues determines physiological variations over the year which in turn influence the behavioural pattern  H2: The existence of a seasonal pattern of behaviour should determine a pattern of fish catchability with passive gears Objective 6 INTRODUCTION
  • 7. Receiver array  Twelve receivers (VR2W)  Complete overlap in the study area  Fixed in sandy bottom with auger anchors  September 2011- September 2012 360º 7 MATERIAL AND METHODS
  • 8. V13 V9 Fish tagging  Hook and line and night diving  25 individuals  Surgery  Residence index (DD/TP) in the study area during the duration of the experiment=0.99 Ø= 13 mm 6 g Ø= 9 mm 2.9 g 8 MATERIAL AND METHODS
  • 9. Behavioural variables  Centers of activity (COAS) at 30 min time bins  Home range based on Kernel utilization distributions  Distance travelled: distance between consecutive centers of activity  Estimated for 10d periods to reduce the inherent variability of the data 9 MATERIAL AND METHODS
  • 10. Additional sampling  Sea surface temperature (2 yr): oceanographic buoy  Biological sampling (2 yr)  Reproductive activity: gonads from 1529 individuals collected in the local fish markets. Reproductive state (spawning vs. Non-spawning) based on GSI and maturity ogive  Feeding activity: gut weight from 570 individuals. F=stomach weight/gutted weight  Catchability (10 yr): artisanal fishing data from a monitoring program (>800 hauls) by scientists. Abundance index from UVC 10 MATERIAL AND METHODS
  • 11.  Simple approach!  Variables  Drivers: temperature, reproductive activity and feeding activity  Behaviour: home range size and distance travelled (activity)  Catchability  Difficult to assess cause-effect relationships from observational data  Our strategy: to estimate and compare the phase (φ) of each variable individually fitted to a sinusoidal function (julian day)  Assumed sinusoidal cycle if β1 or β2 ≠ 0 Model 11 MATERIAL AND METHODS
  • 12. Model Temperature  Temporal autocorrelation term Home range size and distance travelled  Temporal autocorrelation term  Fish as random factor (mixed-model)  Fish size as a continuous variable (β3) Catchability  Offset: panel lenght and haul time 12 MATERIAL AND METHODS
  • 13. Results  Significant sinusoidal cycle in all cases except the home range size  Distance travelled influenced by fish size 13 RESULTS AND DISCUSSION
  • 14. Results 216.5 232.4 214.0  Significant sinusoidal cycle in all cases except the home range size  Distance travelled influenced by fish size  Clear relationship between sea surface temperature and physiological state temperature feeding 14 RESULTS AND DISCUSSION reproduction
  • 15. Results 216.5 232.4 214.0 176.0  Significant sinusoidal cycle in all cases except the home range size  Distance travelled influenced by fish size  Clear relationship between sea surface temperature and physiological state  Relationship between physiological state and activity activity 15 temperature feeding RESULTS AND DISCUSSION reproduction
  • 16. Results 216.5 232.4 214.0 176.0 173.8  Significant sinusoidal cycle in all cases except the home range size  Distance travelled influenced by fish size  Clear relationship between sea surface temperature and physiological state  Relationship between physiological state and activity  Clear relationship between activity and catchability catchability 16 activity temperature reproduction feeding RESULTS AND DISCUSSION
  • 17. Conclusions  We used a simplistic approach that facilitated the interpretation of the results  Forced the variables to a lag of 6 months between maximum and minimum  There is an alternation between:  a predominantly reproductive state with low activity in winter and  a predominantly feeding state of high activity when catchability is higher in summer 17 RESULTS AND DISCUSSION
  • 18. Conclusions  The pattern of behaviour determines the pattern of catchability and thus vulnerability, in agreement with other theoretical (Alós et al., 2012) or experimental results (Biro and Post, 2008)  Implications for stock assessment since catchability decouples catches and abundance (temporal variation) and should be considered in stock assessment models  Highlights the need to study fish behaviour in coastal sedentary fish, not only in migratory or highly-mobile species. 18 RESULTS AND DISCUSSION