Climate change Flashcards
Historical CO2 and temperature variation
There is no correlation between CO2 and global temperature in deep time.
But more recently there has been
a strong association between CO2 and temperature
Globally averaged GHG concentrations, CO2 now over 400ppm
CH4 at 1700 ppb and N2O at 320 ppb
Global anthropogenic CO2 emissions correspond to the increase
In atmospheric GHG concentrations
Increase from 1970 to 2010
Of 22Gt of anthropogenic GHG 65% through fossil fuels
Land and ocean temperatures 1850-2017
Steep increase from 1970 industrialisation, land is almost over 1.5°C and sea is at 0.75°C
2010-2020 +1°C and +0.45m sea-level rise
2100 +4°C, +0.73m sea-level rise
Heavier precipitation
IPCC 2018 Special report on global warming of 1.5°C
Threatened ecosystems, extreme weather events, large scale singular events, coral die-off, arctic region, coastal flooding, river flooding
Case study: ‘Hot-dogs’ African Wild Dog -
Woodroofe et al. 2017 J. Anim Ecol 86: 1329-38
Trade-off between temperature and activity
High temperatures: • reduced activity • longer inter-birth intervals • poorer pup recruitment Primarily arise from direct impacts on body temp
Case study:
Pied flycatchers & trophic mismatch
Both et al. 2006 Nature 441, 81-83
Both et al. 2010 Proc Roy Soc B 277, 1259-1266
Food abundance and time of breeding used to be matched however food is becoming abundant earlier meaning more caterpillars and and fewer flycatchers
Which species most vulnerable?
Kellermann et al 2012 PNAS
Those in the tropics
Latitudinal range shifts
Chen et al 2011 Science 333, 1024-1026
Europe, America, Chile
Mean rate 16.9 km per decade, but much variation:
i) faster in areas with more rapid warming
ii) broadly speaking range shifts track climate change, but far from always
iii) Species traits don’t
predict lag
(Angert et al 2011 Ecol Letters 14, 677-689)
Range shifts: altitude
Observed elevational range shifts more limited than latitudinal shifts with large lag to expected shift
Species traits poor predictors of altitudinal shifts mainly because they move to a different face of mountain instead of moving upwards
Predicting range shifts – bioclimatic envelope models
Principle is to record the relationship between a species current distribution and the current climate
Then feed predictions of future climate into this relationship to predict future distributions
climatic atlas of european breeding birds - Breeding distributions in 50km x 50km cells in 1985-1988
Predictions for 2100
3 climate models, ‘middle of the road’ emissions scenario
Case study: dartford warbler Simulated presence late 21st century
Northward shift and decrease in overall range size