Predicting insect phenology across space and time

By Jenny A. Hodgson, Christopher M Thomas, Tom H. Oliver, B. J. Anderson, T. Brereton, Elizabeth E. Crone. 2011

171 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/36946e11af5514a354ffea0b7453a2bb350c454c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecological Modeling

In Ecology, Evolution, Behavior and Systematics

In Nature and Landscape Conservation

Citations in the corpus

Evaluating correlative and mechanistic niche models for assessing the risk of pest establishment (2014, background): “Future studies should investigate how changing climate might affect R. indifferens environmental suitability in the next 50 to 100 years in the Central Valley of California because studies have shown that an insect pest’s phenology may shift as a result of climate change (Hodgson et al. 2011).”
Terrestrial insects and climate change: adaptive responses in key traits (2019, background): “Studies have attempted to do this by examining year-to-year variation in phenological responses with respect to emergence date and then correlating these responses back to temperature (Roy & Sparks, 2000; Hodgson et al., 2011).”
How climate extremes—not means—define a species' geographic range boundary via a demographic tipping point (2014, background): “…adaptations to climate change may include changing physiological tolerances (Chown et al. 2011), and shifts in voltinism (Hansen et al. 2001, Jönsson et al. 2009), host species (Braschler and Hill 2007), phenology (Yurk and Powell 2009, Hodgson et al. 2011), or morphology (Hill et al. 2011).”
Unexpected phenological responses of butterflies to the interaction of urbanization and geographic temperature (2014, methodology): “We used generalized additive models (GAM) with a burn-in interval corresponding with the 5th and 95th percentiles to estimate butterfly phenology for each species at a given site within a given year (Appendix A; see Hodgson et al. 2011).”
Do growing degree days predict phenology across butterfly species (2015, background): “Only more recently have ecologists adopted GDD as a link between changes in climate and phenology (Nufio et al. 2010, Hodgson et al. 2011).”
Temperature-mediated habitat use and selection by a heat-sensitive northern ungulate (2012, background): “The importance of temperature on the ecology and behaviour of cold-blooded species (ectotherms) has long been recognized and is studied extensively (Campbell et al. 1974; Bryant et al. 2002; Hodgson et al. 2011).”