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code from: Detecting climate signals cascading through levels of biological organization
Marlène Gamelon (Developer)
, Stéphanie Jenouvrier (Developer)
, M. Lindner (Developer)
, Bernt-Erik Sæther (Developer)
,
M.E. Visser
(Developer)
NIOO - Animal Ecology (AnE)
Norwegian University of Science and Technology
Claude Bernard University Lyon 1
Woods Hole Oceanographic Institution
Groningen Institute for Evolutionary Life Sciences (GELIFES)
Research output
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Keyphrases
Levels of Biological Organization
100%
Climate Signal
100%
Through Levels
100%
Emergence Time
100%
Population Size
66%
Climate Change
66%
Vital Rates
66%
Life History
33%
Great Tit Parus Major
33%
Climate Change Impacts
33%
Ecological Processes
33%
Population Level
33%
Laying Date
33%
Climate Variability
33%
Climate Change Signal
33%
Wild Species
33%
Early Detection
33%
Climate Trends
33%
Ecosystem Variability
33%
Date Rate
33%
RCP 8.5 Scenario
33%
Ecological Level
33%
Biochemistry, Genetics and Molecular Biology
Parus major
100%
Population Size
100%
Life History
50%
Survival Rate
50%
Wild Species
50%
Earth and Planetary Sciences
Climate Change
100%
Climate Signal
100%
Population Size
66%
Laying Date
33%
Climate Effect
33%