Bayesian analysis of climate change impacts in phenology

By Volker Dose, Annette Menzel. 2004

134 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/d01c1d2f071d5db6c125ef316dcaabce3b72818a

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In Ecology

In Global and Planetary Change

Citations in the corpus

Ecological and Evolutionary Responses to Recent Climate Change (2006, background): “…issues of detection (correctly detecting a real trend) and attribution (assigning causation) has been explored in depth (Ahmad et al. 2001; Dose & Menzel 2004; Parmesan 2002, 2005a,b; Parmesan & Yohe 2003; Parmesan et al. 2000; Root et al. 2003, Root & Hughes 2005, Schwartz 1998, 1999;…”
Shifting plant phenology in response to global change. (2007, methodology): “These traditional methods cannot detect abrupt phenological changes that can accompany rapid shifts in climate; however, new techniques based on change point analysis [44], and Bayesian techniques [ 45 ] enable a quantitative representation of non-linear phenological responses and associated rates o”
Generalized maximum likelihood estimators for the nonstationary generalized extreme value model (2007, methodology): “Dose and Menzel [2004] used a Bayesian approach to build nonparametric models when studying climate change effects in phenology.”
Trends and temperature response in the phenology of crops in Germany (2007, background): “Since the magnitude of trends is dependent on the underlying time frame (see Sparks & Menzel, 2002; Dose & Menzel, 2004; Sparks & Tryjanowski, 2005), our comparison of trends in annual and perennial crops could have been hampered by the reorganization of the network in 1990/1991 when 13 events…”
Applications of Circular Statistics in Plant Phenology: a Case Studies Approach (2010, background): “However, in recent years there has been a growth in the analysis of phenological data through time series, as the phenological data can be bio-indicators of climate change (Menzel 2002, Hudson et al. 2003, 2004, 2009, Dose and Menzel 2004, 2006, Schleip et al 2009).”
Influences of species, latitudes and methodologies on estimates of phenological response to global warming (2007, background): “Dose & Menzel (2004) showed that Bayesian techniques for estimating changes in flowering time provided a means of asking quantitatively whether the rates of change were themselves changing.”
The phenology of plant invasions: a community ecology perspective (2011, unknown): “Advances in uncertainty theory (Wikle 2003) allow fitting basic models that estimate errors surrounding such dates (Dose and Menzel 2004) Organization- Large-scale citizen-science Project Budburst Generally cover vast Citizen-collected data often based plant projects that provide data…”