Menzel a 20150708_1500_upmc_jussieu_-_amphi_24
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Transcript of Menzel a 20150708_1500_upmc_jussieu_-_amphi_24
Technische Universität München
From cut twig to satellite – understanding the
full response of phenology to climate change
Annette Menzel
Ecoclimatology
TUM School of Life Sciences Weihenstephan
Technische Universität München
Our Common Future, 08.07.2015, Paris
Technische Universität München
Phenology – an old research field
www.abc.net.au
Technische Universität München
New importance as footprint of climate change
www.usanpn.org
Walther et al. Nature 2002
Ellwood et al. PLoS ONE 2013
Technische Universität München
• Earlier spring events, longer growing season
• Range (distribution) shifts
• Abundance changes, climate linked invasions
• Changes in community composition, productivity
IPCC 2007, WGII, Ch01
Observed impacts on …. terrestrial biological systems
… on agriculture and forestry
• Advance in phenology
• Limited responses in crop management
• Increase / decrease in (forest) productivity
• Vulnerability to heat waves, droughts and floods
… on human health
• Earlier onset and increases in the seasonal production
of allergenic pollen in mid and high latitudes in the
Northern Hemisphere
• Excess mortality due to heat waves
• Changes in the distribution of some human and animal
disease vectors in parts of Europe / Africa
Technische Universität München
Significant changes in observations of natural systems
IPCC 2007, WGII, SPM
Technische Universität München
Climatological feedbacks & ecological interactions
Morisette et al. 2009
Technische Universität München
Observational methods / data sources
Remote sensing AVHRR
Met service observer networks
MODIS, Rapid Eye, AMSR-E
Digital (research) cameras
Web cameras
Volunteer networks
Citizen science projects
Amateur observers Historical (museum, herbar, pictures) S
cale
/ s
pa
tial covera
ge
Experiments /
Gradients *
Octocopter, Drones
* provenance trials, common garden, field, glasshouse, growth cambers
Technische Universität München
First global evidence of observed changes in the 1990s
Menzel & Fabian Nature 1999
Myneni et al. Nature 1997
CO2
Keeling et al. Nature 1996
Technische Universität München
Linking phenology across scales and methods
Validation challenging due to mismatches in scales, lack of data, subpixel mixing
Jeong et al. 2011
Correspondence of
repeated digital camera
measures with ground
observations
Systematic model bias for
Fluxnet sites, interannual
variability in phenology
mostly not captured (Richardson et al. 2012)
Technische Universität München
Role of chilling and photoperiod
Photoperiod climax pioneer
native invasive / ornamental
oceanic continental
Chilling native invasive / ornamental
forcing
forcing
?
daylength chilling
Technische Universität München
Twig / cutting experiments
Technische Universität München
• Photoperiodic effects for 5 late successional native / 14 species (Basler & Körner 2012)
• 1/17 photosensitive, chilling requirements in 50 species vary with functional
groups invasive shrubs < native shrubs < native trees (Polgar et al. 2013)
• Full factorial photoperiodic / chilling experiment revealed (Laube et al. 2014)
Results across sets of species and continents
o 34 / 36 chilling
sensitive, pioneer /
invasive < climax
o 12 / 36 photosensitive,
minor effect size, not
restricted to oceanic /
climax species
o No sign. photo-effect
when chilling completed
Technische Universität München
Menzel et al. GCB 2006
2.3 – 5.1 days / decade
Spatio-temporal differences in temperature responses
• Early flowering / leafing species with higher sensitivity
• Warmer sites with smaller sensitivity / less responding
• Less variation with longitude
Cook et al. Ecosystems 2012 Chen et al. PLoS ONE 2014
Technische Universität München
Vitasse & Basler Eur J Forest Res 2013
2.3 – 5.1 days / decade
Altitudinal differences in temperature responses
• Divergent variation of
responses with altitude
Ziello et al. Clim Res 2009
Leaf unfolding European Beech
Technische Universität München
Within species variation
bud set of provenances on 01.11.2010
E
S1 E
S2
F3
F1
2
C
H5 I4
D7 D6
D8 PL
9
HU1
4
BG1
0
Capdeville et al. 2015
Taeger et al. 2013
Technische Universität München
Other drivers in manipulative experiments
• Winter drought delayed flowering by 2 to 4 weeks
• Nitrogen / CO2 delayed flowering in grasses
• Earlier snowmelt advances alpine
grassland phenology
• Potassium, boron, zinc, calcium
associated with earlier flushing
• Air humidity accelerated leaf unfolding
• CO2 lengthens growing season of
grasses in a water limited area
Melgar et al.
HortScience
2010
Cleland et al. PNAS 2006
Laube et al. New Phytologist 2014 Steltzer et al.
Nature 2014
Cornelius et al. JExpBot
Technische Universität München
Variation in sensitivity with traits
• Annuals > / < perennials (Wolkovich 2012 / Estrella et al. 2007)
• Insect > / < wind pollinated (Fitter & Fitter 2002, Dai et al. 2013 / Ziello et al. 2013)
• Herbaceous perennials > woody or annual species (Bock et al. 2014)
• Divergent responses to spring and winter warming drive flowering trends
Rollison & Kaye
GCB 2012
Cook et al.
PNAS 2012
Technische Universität München
Flowering phenology Plant - population / community - species range / pollen
• 85% of 232 species
shorten flower duration
at Guernsey (1985-2011)
• First, peak, last flowering rarely shifted
uniformously across 60 species in Montana
(17%), 56% showed stronger first flowering
changes
• First flowering advances more than
full flowering
• Evidence for prolongation of pollen
season
CaraDonna
et al.
PNAS
2014
Bock et al.
GCB 2014
Ziello et al. Ecography 2013
Technische Universität München
Mismatch / Asynchrony
Examples include
• trophic interaction,
such as herbivorous
insects and hosts,
bird migration and
food resources
• Bird migration and
breeding
Limited evidence for
• marine trophic
levels
• pollination systems
Ovaskainen et al. PNAS 2013
Technische Universität München
Yield and growth impacts - Less food, better wine ?
• Shortening of phenological phases (sowing to yellow ripeness) in agriculture /
viticulture (e.g. Siebert & Ewert 2012, Bock et al. 2011)
• Forest productivity (e.g. Richardson et al. 2010)
↑↑ GEP, ↑ Respiration, → ↑ NEP, esp. deciduous
• Cambium phenology, xylem / wood formation (e.g. Rossi et al. 2013)
• Conifers synchronise max. growth rate of tree-ring with day length (Rossi et al. 2006)
Technische Universität München
Adaptation through phenological plasticity
• Perennial species / weaker
responders failed in maintaining
climatic niche, showed greater
northward range shifts (UK)
• Temperature sensitive species
in experiments increased
performance (meta-analysis)
• Biotic triggers in areas with long
growing seasons (Pau et al. 2011)
• Success of invasive species (Wolkovich et al. 2013)
Amano et al.
Proc. R. Soc. B
2014
Cleland et al. Ecology 2012
Technische Universität München
Phenology as footprint of climate change requires
• a full understanding of drivers
• a comprehensive explanation of variability in trends and
reponses
• more and novel experimental approaches
for a complete understanding of ecological, cultural and
socioeconomic consequences of phenological changes