Trophic diversity and potential role
of detritivorous crustaceans
of detritivorous crustaceans
in Posidonia oceanica litter
Nicolas Sturaro
Sylvie Gobert
Anne-Sophie Cox
P. oceanica litter
• Fragmented material
- abscised dead leaves
- degraded leaf fragments
- degraded leaf fragments
• Uprooted shoots
and drift macroalgae
• Food and shelter for an abundant animal community
40 50 60 70 80 90 100 110 In d . k g -1 d ry w e ig h t Gam mar ids Shr imps Lept ostr acea ns Pag urid s Isop ods Oth er c rust acea ns Cer ithiid s Oth er m ollu sks Pol ycha etes Ech inod erm s 0 10 20 30 40 Macrofauna In d . k g
Problems
• How is coexistence possible between the
detritivores living in Posidonia litter ?
apparently homogeneous food sources
• What is the role of these species in the
degradation of Posidonia litter ?
apparently homogeneous food sources
poor nutritional value of Posidonia
leaf litter
• Are they a link between seagrass primary
Objective
Determine the trophic diversity and potential role of
amphipod and isopod living in P. oceanica litter
Material & Methods
Sampling and study area
March 2004: Cox (2004)
March 2005
Calvi
Revellata Bay
Material & Methods
Diet analysis
2 methods
Gut content
analysis
(ingested material)
(ingested material)
Stable isotope
analysis: carbon & nitrogen
(Assimilated material)
- The isotope signature of an animal is a
weighted mixture of the isotopic values of the
food sources assimilated
Results and Discussion
Results and Discussion
Target species
Gammarella fucicola
Gammarus aequicauda
Idotea baltica
Gut contents
semi-quantitative estimation
P. oceanica
litter
Macroalgae
(Drift & epiphytes)
Crustaceans
Microorganisms
(Diatoms, Foraminifera)G. aequicauda
G. fucicola
I. baltica
I. hectica
Frequency of occurrence in guts
P. oceanica litter
G. aequicauda
~ 100 %
G. fucicola
I. baltica
I. hectica
~ 50 %
~ 90 %
~ 90 %
Ingested fragments of P. oceanica
litter are small (5-100 cells)
Potentiel role of these species in
Potentiel role of these species in
Results of isotopic ratios
Results of isotopic ratios
2.5 3.0 3.5 4.0 4.5 5.0 5.5 1 5
N
(
‰
)
-35.0 -32.5 -30.0 -27.5 -25.0 -22.5 -20.0 -17.5 -15.0 -12.5 -10.0 0.0 0.5 1.0 1.5 2.0 2.5δδδδ
13C (‰)
δδδδ
1 52.5 3.0 3.5 4.0 4.5 5.0 5.5 1 5
N
(
‰
)
-35.0 -32.5 -30.0 -27.5 -25.0 -22.5 -20.0 -17.5 -15.0 -12.5 -10.0 0.0 0.5 1.0 1.5 2.0 2.5SA
PEA
PoL
δδδδ
13C (‰)
δδδδ
1 52.5 3.0 3.5 4.0 4.5 5.0 5.5
G.a
1 5N
(
‰
)
-35.0 -32.5 -30.0 -27.5 -25.0 -22.5 -20.0 -17.5 -15.0 -12.5 -10.0 0.0 0.5 1.0 1.5 2.0 2.5SA
PEA
PoL
δδδδ
13C (‰)
δδδδ
1 52.5 3.0 3.5 4.0 4.5 5.0 5.5
G.a
G.f
1 5N
(
‰
)
-35.0 -32.5 -30.0 -27.5 -25.0 -22.5 -20.0 -17.5 -15.0 -12.5 -10.0 0.0 0.5 1.0 1.5 2.0 2.5SA
PEA
PoL
δδδδ
13C (‰)
δδδδ
1 52.5 3.0 3.5 4.0 4.5 5.0 5.5 1 5
N
(
‰
)
-35.0 -32.5 -30.0 -27.5 -25.0 -22.5 -20.0 -17.5 -15.0 -12.5 -10.0 0.0 0.5 1.0 1.5 2.0 2.5SA
PEA
PoL
δδδδ
13C (‰)
δδδδ
1 52.5 3.0 3.5 4.0 4.5 5.0 5.5 1 5
N
(
‰
)
-35.0 -32.5 -30.0 -27.5 -25.0 -22.5 -20.0 -17.5 -15.0 -12.5 -10.0 0.0 0.5 1.0 1.5 2.0 2.5SA
PEA
PoL
δδδδ
13C (‰)
δδδδ
1 5C
2.5 3.0 3.5 4.0 4.5 5.0 5.5
I.b
1 5N
(
‰
)
-35.0 -32.5 -30.0 -27.5 -25.0 -22.5 -20.0 -17.5 -15.0 -12.5 -10.0 0.0 0.5 1.0 1.5 2.0 2.5SA
PEA
PoL
C
δδδδ
13C (‰)
δδδδ
1 53,0 3,5 4,0 4,5 1 5
N
(
‰
)
3,0 3,5 4,0 4,5 1 5N
(
‰
)
Hypothesis : Modification of the diet during growth
of the animal
agrees with gut content results
2 4 6 8 10 12 14 16 18 20 22 24 26 28
Taille (mm)
1,0 1,5 2,0 2,5δ
1 5 2 4 6 8 10 12 14 16 18 20 22 24 26 28Taille (mm)
1,0 1,5 2,0 2,5δ
1 5Lenght (mm)
2.5 3.0 3.5 4.0 4.5 5.0 5.5
I.b
1 5N
(
‰
)
-35.0 -32.5 -30.0 -27.5 -25.0 -22.5 -20.0 -17.5 -15.0 -12.5 -10.0 0.0 0.5 1.0 1.5 2.0 2.5SA
PEA
PoL
C
δδδδ
13C (‰)
δδδδ
1 52.5 3.0 3.5 4.0 4.5 5.0 5.5
I.b
I.h
1 5N
(
‰
)
-35.0 -32.5 -30.0 -27.5 -25.0 -22.5 -20.0 -17.5 -15.0 -12.5 -10.0 0.0 0.5 1.0 1.5 2.0 2.5SA
PEA
PoL
C
δδδδ
13C (‰)
δδδδ
1 52.5 3.0 3.5 4.0 4.5 5.0 5.5
I.b
I.h
G.a
1 5N
(
‰
)
Important trophic diversity
-35.0 -32.5 -30.0 -27.5 -25.0 -22.5 -20.0 -17.5 -15.0 -12.5 -10.0 0.0 0.5 1.0 1.5 2.0 2.5
SA
PEA
PoL
C
G.f
δδδδ
13C (‰)
δδδδ
1 5Mixing model
• Mathematic model that can estimate relative
contribution of different food sources
• Method :
find a distribution of feasible solutions
for the different food sources
- Phillips & Gregg (2003)
10
15
10
15
10
15
10
15
Posidonia litter
F
re
q
u
en
cy
(
%
)
0-30 %
0
5
0
10
20
30
40
50
60
70
80
90
100
0
5
0
10
20
30
40
50
60
70
80
90
100
0
5
0
10
20
30
40
50
60
70
80
90
100
0
5
0
10
20
30
40
50
60
70
80
90
100
Source contribution (%)
F
re
q
u
en
cy
(
%
)
I.b
I.h
G.f
Difference with gut content results
10
15
50-57 %
F
re
q
u
en
cy
(
%
)
Posidonia litter
0-30 %
0
5
0
10
20
30
40
50
60
70
80
90
100
F
re
q
u
en
cy
(
%
)
Source contribution (%)
G.a
I.b
I.h
G.f
Gut contents
semi-quantitative estimation
P. oceanica
litter
G. aequicauda
G. fucicola
I. baltica
I. hectica
Difference with gut content results
10
15
50-57 %
F
re
q
u
en
cy
(
%
)
Posidonia litter
0-30 %
0
5
0
10
20
30
40
50
60
70
80
90
100
F
re
q
u
en
cy
(
%
)
Source contribution (%)
Micro-organisms colonising leaf litter may constitute
an important food source for litter fauna
Fungi
Bacteria
Photos: Dr. Mathieu Poulicek
0 5 10 15 0 10 20 30 40 50 60 70 80 90 100 0 5 10 15 0 10 20 30 40 50 60 70 80 90 100