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| Titel |
Effects of climate change on phenology in two French LTER (Alps and Brittany) for the period 1998-2009 |
| VerfasserIn |
B. Perrimond, S. Bigot, H. Quénol, T. Spielgelberger, J. Baudry |
| Konferenz |
EGU General Assembly 2012
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 14 (2012) |
| Datensatznummer |
250068787
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| Zusammenfassung |
| Climate and vegetation are linked all over the world. In this study, we work on a seasonal
weather classification based on air temperature and precipitation to deduce a link with
different phenological stage (greening up, senescence, ...) over a 12 year period (1998-2009)
for two different domains in France (Alps and Brittany). In temperate land, the main climatic
variable with a potential effect on vegetation is the mean temperature followed by the rainfall
deficit. A better understanding in season and their climatic characteristic is need to
establish link between climate and phenology; so a weather classification is proposed
based on empirical orthogonal functions and ascending hierarchical classification on
atmospheric variables. This classification allows us to exhibit the inter-annual and
intra-seasonal climatic spatiotemporal variability for both experimental site. Relationships
between climate and phenology consist in a comparison between advance and delay
in phenological stage and weather type issue from the classification. Experiment
field are two french Long Term Ecological Research (LTER). The first one (LTER
’Alps’ ) have mountain characteristics about 1000 to 4780 m ASL, ~65% of forest
occupation ; the second one (LTER Armorique) is an Atlantic coastal landscape, 0-360 m
ASL, ~70% of agricultural field. Climatic data are SAFRAN-France reanalysis
which are developed to run SVAT model and come from the French meteorological
service ’Météo-France’. All atmospheric variable needed to run a hydrological
model are available (air temperature, rainfall/snowfall, wind speed, relative humidity,
incoming/outcoming radiation) at a 8Ã8 km2 space resolution and with a daily time
resolution. The phenological data are extracted from SPOT-VGT product 1Ã1 km2 space
resolution and 10 days time resolution) by time series analysis process. Such of study is
particularly important to understand relationships between environmental and ecological
variables and it will allow to better predict ecological reaction under climate change
constraint. |
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