Exploiting temporal variability to understand tree recruitment response to climate change

Predicting vegetation shifts under climate change is a challenging endeavor, given the complex interactions between biotic and abiotic variables that influence demographic rates. To determine how current trends and variation in climate change affect seedling establishment, we analyzed demographic re...

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Veröffentlicht in:	Ecological monographs 2007-05, Vol.77 (2), p.163-177
Hauptverfasser:	Ibáñez, Inés, Clark, James S., LaDeau, Shannon, Lambers, Janneke Hille Ris
Format:	Artikel
Sprache:	eng
Schlagworte:	Acer rubrum altitude Animal and plant ecology Animal, plant and microbial ecology Betula Biological and medical sciences Climate change climate envelope models climate envelopes Climate models Climatology. Bioclimatology. Climate change Earth, ocean, space equations establishment Exact sciences and technology External geophysics forest communities Forest ecology forest growth forest habitats forest succession forest trees Fundamental and applied biological sciences. Psychology General aspects hierarchical Bayes hierarchical Bayes model Liriodendron tulipifera Meteorology Modeling Moisture Nyssa sylvatica plant establishment Plant reproduction prediction Quercus rubra recruitment Seed banks Seedlings Seeds Soil temperature regimes Soil testing Soil water Southern Appalachians Species spring statistical models temperature temporal variation Trees Vegetation
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