Scaling phenology from the local to the regional level: advances from species‐specific phenological models

By Isabelle Chuine, Geneviève Cambon, P. Comtois. 2000

135 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/fc97b21c37236a6a72d4a72cb91cbf7746d215bd

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Citations in the corpus

Phenological Differences Between Understory and Overstory (2009, background): “Furthermore, in the context of climate change, these differences have implications for how species will respond to future climates (Murray et al. 1989 ; Kramer 1994 ; see also Chuine et al. 2000 for an historical analysis), and thus imply that changes in the order that species leaf out can be expe”
Phenological Differences Between Understory and Overstory: A Case Study Using the Long-Term Harvard Forest Records (2009, background): “…in the context of climate change, these differences have implications for how species will respond to future climates (Murray et al. 1989 ; Kramer 1994 ; see also Chuine et al. 2000 for an historical analysis), and thus imply that changes in the order that species leaf out can be expected.”
Leaf phenology sensitivity to temperature in European trees: do within-species populations exhibit similar responses? (2009, background): “Indeed in temperate and boreal zones, models which predict most accurately tree leaf onset use temperature and daylength as parameters (e.g. Cannell and Smith, 1983; Chuine and Cour, 1999; Schaber and Badeck, 2003).”
Climate change effects on plant disease: genomes to ecosystems. (2006, background): “(35) have argued for the inclusion of phenology, such as the time of bud and leaf opening or flowering (53), in models of climate effect.”
Tracking the rhythm of the seasons in the face of global change: phenological research in the 21st century. (2009, background): “Increasing spatial extent often implies consideration of more than one species and, for both remote and proxi mate sensors, understanding how discrete life events among different species will impact various measurements remains an active area of research (Chuine et al. 2000; Schwartz et al. 2002; G”
Simulation of potential range expansion of oak disease caused by Phytophthora cinnamomi under climate change (2004, unknown): “The key issue of the contribution of forests to the terrestrial carbon sink, coupled with global change, has stimulated many studies on the potential impact of global change on phenology and growth at tree level and on net primary production at the ecosystem level (Murray et al., 1989; Leblanc & Fos”
Shifting plant phenology in response to global change. (2007, background): “Finally, recent advances in species-specific phenological models now enable researchers to scale from local to regional shifts in phenology [ 16 ], as well as to predict shifts in species ranges in response to changing environmental conditions [17] ,a nd use historical records of harvest dates to re”
Phenology of a northern hardwood forest canopy (2006, methodology): “The logistic function is commonly used in biometric and growth modeling applications (Sit & Poulin-Costello, 1994), and is the basis of accumulating temperature sums in some phenological models (Sarvas, 1972; Chuine et al., 2000).”