Variation in nuclear DNA content across environmental gradients: a quantile regression analysis
By C. Knight, David D. Ackerly. 2002
226 citations recorded by the source corpus.
Subfields: Pathology and Forensic Medicine, Plant Science
View Paper: https://www.semanticscholar.org/paper/319dbd7c9ef2fa7d21f73c7208c77ab90980d29a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Pathology and Forensic Medicine
In Plant Science
- Michael P. Austin
- S. Bancheva
- Trevor J. Hastie
- Johann Greilhuber
- Anthony Lehmann
- J. Overton
- Antoine Guisan
- David D. Ackerly
Citations in the corpus
- A gentle introduction to quantile regression for ecologists (2003, background): “Variation in nuclear DNA of plants across Knight and Ackerly 2002 environmental gradients”
- Species distribution models and ecological theory: A critical assessment and some possible new approaches (2007, background): “Knight and Ackerly (2002) investigated variation in the average nuclear DNA content of species across a direct environmental gradient, July maximum temperature (Fig.”
- Making better biogeographical predictions of species’ distributions (2006, methodology): “Recent examples of the application of this approach to modelling species’ responses to environmental variables are Knight & Ackerly (2002), relating species’ DNA content to temperature, and Schroder, Anderson & Kiehl (2005), relating fen species to flooding and other variables.”
- Community Assembly, Niche Conservatism, and Adaptive Evolution in Changing Environments (2003, background): “In another example, at a larger scale in the California flora, we found a significant reduction in maximum genome size associated with realized niche distributions at extreme temperatures (both hot and cold) (Knight and Ackerly 2002).”
- Genome size in Bulgarian Centaurea s.l. (Asteraceae) (2006, background): “Moreover, several studies on genome size spectra in certain geographic areas showed that species with large genomes are more sensitive to and thus excluded from extreme environments (Bennett 1987, Knight and Ackerly 2002, Knight et al. 2005).”