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Dynamic Energy Budgetsi.r.t. population effects of toxicants
Tjalling JagerDept. Theoretical Biology
Contents
What DEB is not … What is DEB? Advantages of using DEB
Example life-cycle datasetBindesbøl et al (2007)• copper in Dendrobaena octaedra• size, survival, cocoons over 20 weeks• here, only [Cu] > 80 mg/kg
What DEB is not
DEB is not a population model DEB is not needed to estimate population effects
DEB-less analysis
conc. hatching %
80 74
120 79
160 74
200 31
80120160200
0 50 100 1500
0.2
0.4
0.6
0.8
1
time (days)
frac
tio
n s
urv
ival
0 50 100 1500
5
10
15
20
25
30
35
40
cum
ula
tive
rep
rod
uct
ion
time (days)
1 2
hatching time: 92 days
DEB-less analysis
conc. hatching %
80 74
120 79
160 74
200 31
80120160200
0 50 100 1500
0.2
0.4
0.6
0.8
1
time (days)
frac
tio
n s
urv
ival
0 50 100 1500
5
10
15
20
25
30
35
40
time (days)
cum
ula
tive
rep
rod
uct
ion
endT
rts dtetRtF
0
)()(1 endT
rts dtetRtF
0
)()(1
hatching time: 92 days
Intrinsic rate of increase
2-stage modelsplined, Euler-Lotka
60 80 100 120 140 160 180 200
0
0.005
0.01
0.015
0.02
0.025
concentration (mg/kg soil)
pop
ulat
ion
grow
th r
ate
(d-1
)
endT
rts dtetRtF
0
)()(1
1 2
What have we achieved?
60 80 100 120 140 160 180 200
0
0.005
0.01
0.015
0.02
0.025
concentration (mg/kg soil)
popu
latio
n gr
owth
rat
e (d
-1)
60 80 100 120 140 160 180 200
0
0.005
0.01
0.015
0.02
0.025
concentration (mg/kg soil)
popu
latio
n gr
owth
rat
e (d
-1)
longer exposure time,
untested concentrations,
time-varying conditions,
temperature,
food limitation,
other species,
other compounds …
Integrated effects on survival and reproduction over time … … for test concentrations and test conditions … Can we make educated inter- and extrapolations?
What is DEB?
Quantitative theory; ‘first principles’• time, energy and mass balance
Life-cycle of the individual• links levels of organisation: molecule
ecosystems
Comparison of species• body-size scaling relationships; e.g., metabolic
rate
Fundamental to biology; many practical applications
• (bio)production, (eco)toxicity, climate change, …
Kooijman (2000)
Kooijman (in press)
Bookkeeping rules …
growth
reproduction
feeding
maintenance
maturation
Toxicants in DEB
externalconcentration
(in time)
toxico-kinetics
toxico-kinetics internal
concentrationin time
life-historytraits
one-compartment model, accounting for changes in body size
Toxicants in DEB
externalconcentration
(in time)
toxico-kinetics
toxico-kinetics internal
concentrationin time DEB
parametersin time
life-historytraits
ingestion ratemaintenance rate coeff.egg costsetc. …
Toxicants in DEB
externalconcentration
(in time)
toxico-kinetics
toxico-kinetics internal
concentrationin time DEB
parametersin time
DEBmodel
DEBmodel
life-historytraits
KM-DEB (Klok et al, 1996)DEBtox (Kooijman & Bedaux, 1996)DEB3 (Jager et al, subm.)
Toxicants in DEB
externalconcentration
(in time)
toxico-kinetics
toxico-kinetics internal
concentrationin time DEB
parametersin time
DEBmodel
DEBmodel
life-historytraits
growth, time to reproduction, reproduction ratemortality etc. …
DEB analysis of dataSimultaneous fit size and repro data
MoA: decrease in ingestion rate
0 50 100 1501
2
3
4
5
6
7
8
9
time (days)
bod
y le
ngth
80120160200
0 50 100 1500
5
10
15
20
25
30
35
40
time (days)
cum
ulat
ive
off
sprin
g pe
r fe
mal
e
80120160200
DEB analysis of data
Assume size-dependent feeding limitation (Jager et al, 2005)
0 50 100 1501
2
3
4
5
6
7
8
9
time (days)
bod
y le
ngth
0 50 100 150
0
5
10
15
20
25
30
35
40
time (days)
cum
ulat
ive
off
sprin
g pe
r fe
mal
e
80120160200
80120160200
Parameter estimates
externalconcentration
(in time) toxico-kinetics
toxico-kinetics
internalconcentration
in time metabolicprocesses
in timeDEB
model
DEBmodel
life-historytraits
TK pars tox pars DEB pars
to population model …
Population effects
60 80 100 120 140 160 180 200
0
0.005
0.01
0.015
0.02
0.025
concentration (mg/kg soil)
pop
ulat
ion
grow
th r
ate
(d-1
)
2-stage modelsplined, Euler-Lotka
DEB, Euler-Lotka
no-effects
What’s different?
effectsdata individuals
effectsdata individuals
populationconsequences
populationconsequences
modelparameters
modelparameters
extrapolatedparameters
extrapolatedparameters
DEB-less
DEB
Educated extrapolation
externalconcentration
(in time) toxico-kinetics
toxico-kinetics
internalconcentration
in time metabolicprocesses
in timeDEB
model
DEBmodel
life-historytraits
TK pars tox pars DEB pars
time-varying concentrations
Educated extrapolation
externalconcentration
(in time) toxico-kinetics
toxico-kinetics
internalconcentration
in time metabolicprocesses
in timeDEB
model
DEBmodel
life-historytraits
TK pars tox pars DEB pars
less food in environment
60 80 100 120 140 160 180 200
0
0.005
0.01
0.015
0.02
0.025
concentration (mg/kg soil)
pop
ulat
ion
grow
th r
ate
(d-1
)
Food limitation
food 100%
food 90%
Educated extrapolation
externalconcentration
(in time) toxico-kinetics
toxico-kinetics
internalconcentration
in time metabolicprocesses
in timeDEB
model
DEBmodel
life-historytraits
TK pars tox pars DEB pars
size-dependent feeding limitations
Food limitation juveniles
0 50 100 1501
2
3
4
5
6
7
8
9
time (days)
bod
y le
ngth
0 50 100 150
0
5
10
15
20
25
30
35
40
time (days)
cum
ulat
ive
off
sprin
g pe
r fe
mal
e
80120160200
80120160200
60 80 100 120 140 160 180 200
0
0.005
0.01
0.015
0.02
0.025
concentration (mg/kg soil)
pop
ulat
ion
grow
th r
ate
(d-1
)
Food limitation juveniles
food 100%
food 90%
Educated extrapolation
externalconcentration
(in time) toxico-kinetics
toxico-kinetics
internalconcentration
in time metabolicprocesses
in timeDEB
model
DEBmodel
life-historytraits
TK pars tox pars DEB pars
other compounds (related)
externalconcentration
(in time) toxico-kinetics
internalconcentration
in time
Educated extrapolation
externalconcentration
(in time) toxico-kinetics
toxico-kinetics
internalconcentration
in time metabolicprocesses
in timeDEB
model
DEBmodel
life-historytraits
TK pars tox pars DEB pars
other compounds (mixtures)
Educated extrapolation
externalconcentration
(in time) toxico-kinetics
toxico-kinetics
internalconcentration
in time metabolicprocesses
in timeDEB
model
DEBmodel
life-historytraits
TK pars tox pars DEB pars
other (related) species
What’s the use of DEB?
In-depth interpretation of effects on individual• all endpoints over time in one framework• indicates experimental ‘problems’• mechanism of action of compound
DEB is essential for inter- and extrapolation• e.g., extrapolation to field conditions• ‘repair’ experimental artefacts
Natural link with different population approaches• simple (e.g., Euler-Lotka and matrix models)• more complex (e.g., IBM’s)
But …
Strong (but explicit) assumptions are made• on metabolic organisation• on mechanisms of toxicity
Elaborate DEB models require strong data• growth, repro and survival over (partial) life cycle• e.g., Daphnia repro protocol extended with size
Almost every analysis raises more questions• difficult to perform on routine basis
Interesting point raised by DEB3 …• hatching time and hatchling size can be affected by stress
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Vacancies• PhD student, Marie Curie training network (CREAM)
Courses• International DEB Tele Course 2011
Symposia• 2nd International DEB Symposium 2011 in Lisbon
More information: http://www.bio.vu.nl/thb