changes in freshwater ecosystems due to climate … · changes in freshwater ecosystems due to...
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Changes in freshwater ecosystems
due to climate change -
Which adaptation?Daniel Gerdeaux, INRA Thonon, Dpt EFPA
http://www.clermont.inra.fr/urep/accae
2000 : Water Framework Directive with the following key aims:
•expanding the scope of water protection to all waters, surface waters and groundwater
•achieving "good status" for all waters by a set deadline
•water management based on river basins
•"combined approach" of emission limit values and quality standards
•getting the prices right
•getting the citizen involved more closely
•streamlining legislation
Restoration, protection …. and adaptation?
Ecological status of French waterbodies
highVery bad
bad
moderate
good
indeterminate
(deviation from Reference. conditions)
Reference conditionsInsignificantly disturbed biology,
hydro-morphology and physico-chemistry (Wallin et al, 2003)
RESTORATION
2015-2027
WFD
Climate Change : - warming
- hydrology
- solar radiation
Lake Geneva 5m below the surface
10
11
12
13
1970 1975 1980 1985 1990 1995 2000 2005
An
nu
al
meam
Wate
r te
mp
era
ture
(°C
)
3500
4000
4500
5000
5500
1980 1985 1990 1995 2000 2005 2010
annual solar radiation on Lake Geneva (MJ.m-2)
An example : Lake Geneva
P ot (µgP/l)
1960 1965 1970 1975 1980 1985 1990 1995 2000
0
20
40
60
80
100
Several parameters are changing
Start of thermal stratification
1 may
15 may
29 may
12 june
26 june
1970 1980 1990 2000
0
2
4
6
8
10
12
Oxyg
en
(mg/l)
1986 1990 1994 1998
Lack of overturns , then anoxy atthe bottom in Lake Geneva
Consequences on physico-chemical parameters
Some variations or changes due to : reoligotrophication, climate change, ….
1986-1991
> 1991
1974-1985
J F M A M J Jt A S O N D0
500
1000
1500
Biomasse (µg.l-1)
J F M A M J Jt A S O N D0
500
1000
1500
2000
2500
0500
1000
1500
2000
J F M A M J Jt A S O N D
spring summerfall
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
1974
1976
1978
1980
1982
1984
1986
1988
1990
1992
1994
1996
1998
2000
2002
2004
2006
2008
A B C D EF G H1 J KLm Lo M N PR S1 T U W1W2 X1 Y Z Non classé
Biomasse m
oyenne annuelle
(µg/L)
Phytoplankton in Lake Geneva:
changes in seasonality, the
phytoplankton assemblages and the
functional associations of species
(Reynolds et al 2002)
What is due to -reoligotrophication
-climate change
-fishery….. ?
An example : Lake Geneva
1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009
Orthophosphate - PO4 (µgP/l) - Lake Geneva
Today the upper layers (0-30m) in Lake Geneva are almost oligotrophic while before
1986 the P depletion in the upper layers was brief and not deep
Jan. Feb. Mar April Jun Jul. Augt Sep. Oct. Nov.Déc. May
Algae
Zooplankton
eggs
Alguae
Zooplankton
eggs
70’s
2000’s
Changes in Lake Geneva (reoligotriphication, warming, stocking)
favourable to whitefish (Coregonus lavaretus) unfavorable to arctic
char (Salvelinus arcticus) two cold water species
(Arctic char reproduction is not possible above 7°C during ovogenesis)
A better match between
egg hatching and
zooplankton dynamics
Two “cold species” two different responses
An example : Lake Geneva
1970 1974 1978 1982 1986 1990 1994 1998
50
100
150
200
250
300
Witefish catches in Lake GENEVA350
strength of cohort
1993.1994
1995
1996.
1997.
1998
1999.
2000.
2001.
2002.
0
10
20
30
40
50
60
70
80
90
100
5..7 5..8 5. .9 6.. 0 6.. 1 6..2 6..3 6..4 6. .5 6.. 6
mean annual temperature at 100 m
R²= 0.543
• Changes due to numerous causes
•Habitats deterioration
•Eutrophication and reoligotrophcation
•Management of resources, overexploitation
•Pollution
•Invasive species
•Climate
•Climate changes influence directly the biodiversity (stenothermy) and indirectly by
their influence on other causes of deterioration
•Difficult to understand the role of climate change separately from the effects of other
environmental, social and economic changes that affect waterbodies
•KEY POINTS :
•Biological indicators of warming are useful tools. Eco-physiological studies on new
indicators are necessary : Direct effects
•But the responses of ecosystems to a stressor are often not linear
•The impacts of climate change will be different at different scales across different
regions.
•necessity to maintain and extend high quality, long-term monitoring to better
understand the key processes that control system responses to climate change and to
take into account the inter-annual variations in ecosystems AND THE UNCERTAINTY
•Biological indicators of warming are useful tools. Eco-physiological studies on new
indicators are necessary :
lists of biological indicators : http://www.climate-and-freshwater.info/
Indicators potentially suited to detect the effects of Climate Change on
European aquatic ecosystems
Aquatic species which are affected by (or benefiting from) Climate Change
Need for more (better?) biological indicatorsExploration of the influence of global warming on the chironomid community in a manipulated shallow
groundwater system.
Guillaume Tixier, Kevin P. Wilson,D. Dudley Williams. 2008
examined the response of the groundwater chironomid community : warming decreased the total
abundance of chironomids
whereas no significant change in taxonomic richness was apparent.
taxon composition changed markedly during both the manipulation and the recovery period. Whereas
Heterotrissocladius disappeared during the manipulation in the treatment block, other coldstenothermal
taxa such as Micropsectra, Parametriocnemus and Heleniella remained unaffected.
Conversely, Corynoneura, Polypedilum and Thienemannia gracilis disappeared but were not reported as
coldstenothermal. The chironomid community composition in the system changed from a
Heterotrissocladius, Brillia, and Tanytarsini-dominated community during the pre-manipulation towards one
dominated by Parametriocnemus, Polypedilum, Orthocladius/Cricotopus and Corynoneura during the
recovery. Although increased temperature had a strong effect, chironomid occurrence was also influenced by
a number of other abiotic variables, such as dissolved oxygen, depth, ammonia concentration and TDS (Total
dissolved solids).
Trophic index (TI) as a function of total phosphorus (TP; upper
panel) and chlorophyll a (Chl a, lower panel). Left: Black dots represent
samples from reference lakes, grey dots others. Horizontal dashed line
gives the upper 95th percentile of the TI from reference lakes (= 2.11).
Right: Same data, with quantile regression, showing the median (bold
line) as well as the 5th and 95th percentiles (dashed lines).
Analysis of the trophic index shows that
phytoplankton communities exhibit highly
non-linear responses to eutrophication in
Norwegian lakes. Reference lakes
are characterized by very similar TIs despite
having considerable variation in total
phosphorus and chlorophyll a
concentrations. TI exhibits a non-linear
distribution along the eutrophication
gradient which separates unimpacted from
impacted sites in the study area. We further
show that TI exhibits smaller seasonal
variations than chlorophyll a, making it a
more reliable indicator for lake monitoring.
Few similar data on the
responses to warming
Performance of a new phytoplankton composition metric along a eutrophication
gradient in Nordic lakes. Ptacnik , Solimini,Brettum, Hydrobiologia (2009) 633:75–82
•The responses of ecosystems to a
stressor are often not linear :
Catastrophic shifts in ecosystems
Marten Scheffer, Steve Carpenter, Jonathan A. Foley, Carl Folke & Brian Walkerk, Nature
2001
A graphical model of alternative stable states in shallow lakes on the basis
of three assumptions: (1) turbidity of the water increases with the nutrient level; (2)
submerged vegetation reduces turbidity; and (3) vegetation disappears when a critical
turbidity is exceeded. In view of the first two assumptions, equilibrium turbidity can be
drawn as two different functions of the nutrient level: one for a vegetation-dominated
situation, and one for an unvegetated situation. Above a critical turbidity, vegetation
will be absent, in which case the upper equilibrium line is the relevant one; below this
turbidity the lower equilibrium curve applies. As a result, at lower nutrient levels, only
the vegetation-dominated equilibrium exists, whereas at the highest nutrient levels,
there is only an unvegetated equilibrium. Over a range of intermediate nutrient levels,
two alternative equilibria exist: one with vegetation, and a more turbid one without
vegetation, separated by a (dashed) unstable equilibrium.
External conditions affect the resilience of multi-stable ecosystems to
perturbation. The bottom plane shows the equilibrium curve .The
stability landscapes depict the equilibria and their basins of attraction
at five different conditions. Stable equilibria correspond to valleys; the
unstable middle section of the folded equilibrium curve corresponds
to a hill. If the size of the attraction basin is small, resilience is small
and even a moderate perturbation may bring the system into the
alternative basin of attraction.
•What is the influence of climate change
on shifts in ecosystems? Extreme events
and “catastrophic shifts”
•The impacts of climate change will be different
at different scales across different regions.
1955 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005
4.4
4.6
4.8
5.0
5.2
5.4
5.6
5.8
6.0
4.2
4.0
Années
Tem
péra
ture
°C
The consequences of warming will be different in Lake Geneva (309m red line)
and in Lake Annecy (65m, blue line)
The consequences of warming will be different in Lake Ammersee
and in Lake Annecy
•The impacts of climate change will be different
at different scales across different regions.
Lake Ammersee Lake Annecy
Danis, P.A., von Grafenstein, U., Masson-Delmotte, V., Planton, S., Gerdeaux, D. Moisselin, J.M. (2004): Vulnerability of
two European lakes in response to future climatic changes. Geophysical Research Letters 31.
Surface maximum water temperature
Mean annual air temperatureBottom water temperature
Winters without overturn and oxygenation of the bottom
48
1216
2024
T °C
•The impacts of climate change will be different at
different scales across different regions
•but similar interannual variability In Muggelsee, the phytoplankton biovolume during late
winter/early spring was related to the NAO index. In Lake
Constance, where phytoplankton growth was inhibited by
intense downward mixing during all years studied, this was not
the case. However, in both lakes, interannual variability in
water temperature, in Daphnia spring population dynamics and
in the timing of the clear-water phase, were all related to the
interannual variability of the NAO index. The Daphnia spring
population dynamics and the timing of the clear-water phase
appear to be synchronized by the NAO despite large
differences between the lakes in morphometry, trophic status
and hushing and mixis regimes, and despite the great distance
between the lakes (similar to 700 km). This suggests that a
great variety of lakes in central Europe may possibly have
exhibited similar interannual variability during the last 20 years.Straile & Adrian GLOBAL CHANGE BIOLOGY 2000
Example : Lake Dynamics Monitoring Stations in UK
•The impacts of climate change will be different at
different scales across different regions
•but similar interannual variability
http://www.eurolimpacs.ucl.ac.uk/
It is necessary to maintain and extend high quality, long-term monitoring
to better understand the key processes that control system responses to
climate change and to take into account the inter-annual variations in
ecosystems (for example influence of NAO on European lakes) : a
database to archive key temporal data-sets will be very useful.
Conclusion :
•Biological indicators of warming are essential tools :
•need more studies for a quantitative understanding of
climate change effects on structure and functioning of
freshwater ecosystems
•The impacts of climate change will be different at different scales
across different regions. (ecoregions)
•The responses of ecosystems to a stressor are often not linear
•Extreme events will be more frequent
•necessity to maintain and extend high quality, long-term
monitoring to better understand the key processes that
control system responses to climate change and to take into
account the inter-annual variations in ecosystems and the
uncertainty : adaptation of the baseline of reference
conditions
Conclusion :
Implications of climate change for restoration and protection measures
Measures should be fully climate resilient
No regret measures
Avoid measures that will fail under future climatic conditions
Developing solutions to build resilience