Global environmental change
© I. Lastumäki © Inken ©B. Al-Janabi © K. Maczassek
Kruse 500 µM
200 µM 200 µM
Balsam Al-Janabi, Inken Kruse and Martin Wahl
GEOMAR, Helmholtz Center for Ocean Research, Kiel, Germany
The interaction between intraspecific genetic diversity and global environmental change in early life-stage Fucus vesiculosus
©B. Al-Janabi
Global change impact on Fucus vesiculosus
Main driver: Ocean acidification, warming
Other environmental changes: Eutrophication, hypoxic areas, upwelling events, pollution…
F. vesiculosus can buffer adverse environmental changes
Populations: evolutionary adaptation or range shifts= expansions and retractions The combined effect of multiple stressors will impact marine populations
Wahl et al. 2015 Perspectives in Phycology
Investigations have often been limited regarding: single stressors, ontogenic stages, constant conditions, one season…
Wahl et al. 2015 Marine and Freshwater Research
Confers potential for adaptation through selection Allows for resilience and ecosystem services
Hypothesis: Populations of high genetic diversity perform better on environmental stress.
Diversity
Diversity
Genetic diversity of Fucus vesiculosus
© K. Maczassek
Diversity level 2
2x
Collection of fertile adult Fucus vesiculosus Induction of gamete release
Settling of germlings on limestones cubes: edge length 2 cm.
Diversity level 3
4x
Diversity level 1
1x
Genetic diversity of Fucus vesiculosus
versus
1 2 3 4 5 6 7 8
offspring of 1 parental pair each
offspring of 2 parental pairs each
offspring of 4 parental pairs each
1, 2 3, 4 5, 6 7, 8
5, 6, 7 , 8 1, 2, 3, 4
versus
5
Diversity level
Low
Medium
High
Three levels of genetic diversity
Investigation of species interactions and community structure under climate change Upscaling of: Multiple factors, Multi-species communities, Multi-seasonalapproach
Closing the gap between laboratory and field experiments Flow-through system allows a near natural scenario
Wahl et al. 2015 Limnology and Oceanography: Methods 6
Climate change scenario: Kiel Benthocosms
Temperature: + 5 °C pCO
2: 1100 µatm
7
4 treatment levels
High Temperature + pCO
2High Temperature
High pCO
2Ambient (Fjord conditions) n = 3
Seasonal variation - 2013
Warming and acidification: natural conditions
Seasonal differences between spring and summer (p-value < 0.05)
Season *
0 20 40 60 80 100
Spring13 Summer Autumn Winter Spring14
Survival % T+CO2+T+ CO2-
T- CO2+
T- CO2-
Warming decreases survival in summer and also in winter (p-value < 0.05)
Means +SD n=3
Temp * Temp *
8
Warming and OA impacts depend on the season
0 0,2 0,4 0,6 0,8 1
Area (mm2)
380 1120 2400
pCO2 effect on growth
High pCO2 levels increase growth of Fucus germlings (p-value < 0.05) = fertilisation effect
Means +SD n=3
Acidification effects on growth: laboratory conditions
-2 -1 0 1 2
1 2 3 4 5 6 7 8
Survival %
log effect ratio (SD) (relative to “ambient”)
T+/ T- CO2 +/ CO2 - Future/ Present Temp
CO2 Temp
Temp CO2
Temp CO2
Siblings vary in their response to warming and acidification
0 20 40 60 80 100
T+ CO2+ T+ CO2- T- CO2-
Survival%
Autumn
0 20 40 60 80 100
T+ CO2+ T+ CO2- T- CO2-
Survival%
Winter
DL 1 DL 2 DL 3
Means +SD n=3
Survival high diversity level
>
survival low diversity level at high temperatures (p-value < 0.05)Increased survival for a group of high diversity level indicated facilitation processes among different genotypes
Diversity level low
medium high
Higher diversity level survive better under warming
Temperature: + 5 °C
pCO
2: 1100 µatm
[Temperature + pCO
2] x Nutrients
[NO
2NO
3PO
4]
12
Warming, acidification and nutrient enrichment
0 0,5 1 1,5 2 2,5 3 3,5
T-CO2-N- T-CO2-N+ T+CO2+ N- T+CO2+ N+
Growth % d-1
0 20 40 60 80 100
T-CO2-N- T-CO2-N+ T+CO2+ N- T+CO2+ N+
Survival %
TempCO2- N- TempCO2- N+ TempCO2+ N- TempCO2+ N+
***
***
Warming during a heat wave decreased survival and growth significantly (p < 0.0001)
Nutrient enrichment attenuates the high mortality and growth reduction (p < 0.0001)
Warming+Acidification interacts with the factor nutrients (p <
0.0001)
+N
+N +T
+T
Nutrient enrichment mitigates heat wave stress
[Temperature + pCO
2] x Nutrients
[NO2 NO3 PO4] + [Temperature + pCO2] + Nutrients
+ [Temperature + pCO2] - Nutrients - [Temperature + pCO2] + Nutrients - [Temperature + pCO2] - Nutrients
3 days Upwelling
14
Local Upwelling event
Mortality of F. vesiculosus germlings is strongly increased under hypoxia in all groups of pre-treatments
Previous exposure to warming and acidification decreased the toleranceto
hypoxia stress (p < 0.001) 15
0 20 40 60 80 100
TCO2- N- TCO2- N+ TCO2+ N- TCO2+ N+
Mortality %
Pre-treatment TempCO2- N- TempCO2- N+ TempCO2+ N- TempCO2+ N+
3 days Hypoxia
Sensitivity to hypoxia is enhanced by previous warming
Vinebrook et al. (2004) OIKOS
Populations resistance to multiple factors depend on trade correlation
Analysis of sibling groups sensitivity towards multiple stressors was performed
Sibling groups sensitivity to stressor A and stressor B may correlate genotypic correlations
Sibling groups were ranked according to the different sensitivities:
Warming Acidification
Warming + acidification
Hypoxia
16Genotypic correlations determine the direction of selection
0 1 2 3 4 5 6 7 8
0 1 2 3 4 5 6 7 8
6 4
8
3 1
7 5
2
0 1 2 3 4 5 6 7
0 1 2 3 4 5 6 7
5
4
6
1
3
7
8
Survival
0 1 2 3 4 5 6 7 8
0 1 2 3 4 5 6 7 8
R= 0.929 P= 0.0022 6
4 8
1
3
7
5
Growth 2
Rank sensitivity to acidification
Rank sensitivity to warming
Spring
R= 0.952 P= 0.0011
SpringSummer
R= 0.821 P= 0.0341
Growth
Sensitivity to warming and acidification is positively correlated (p < 0.05)
Direction of selection goes towards the more tolerant genotypes to warming and acidification
Positive correlation will accelerate selection processes towards these genotypes
17
Siblings correlations of sensitivities to warming and OA
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
SensitivitytoTempCO 2
Sensitivity to Hypoxia
6 10
4
9
16 5
8
13 11
14 1
3 2
15 12
7
R = - 0.8088 P = 0.0002
Sensitivity towards warming+acidification and hypoxia is negatively correlated
(p < 0.001)
Genotypes adapted to warming and
acidification are most sensitive to hypoxia
Correlations of sensitivities to OAW and hypoxia
• Warming enhances growth in summer, but reduces survival in late summer
= seasonal variation
• Sibling groups vary in their response to warming and acidification -> potential for adaptation
• Heat wave stress is mitigated under nutrient enrichment but enhances the sensitivity to hypoxia
• Positive correlation of sensitivities towards warming and acidification determines the direction of selection
• Populations adapted to warming and acidification are most sensitive to hypoxic upwelling
Conclusions
• An upscaling is required: number of stressors, natural fluctuations, ontogenic stages, no of seasons; to predict impacts on marine populations
Acknowledgements
Martin Wahl Inken Kruse
Angelika Graiff Ulf Karsten Björn Buchholz
Federal Ministry of Education and Research
baljanabi@geomar.de
Acknowledgements
Thank you for your attention!
© I. Lastumäki © Inken Kruse ©B. Al-Janabi © K. Maczassek
500 µM
200 µM 200 µM ©B. Al-Janabi