Abstract
Phenological investigation can provide valuable insights into the ecological effects of climate change. Appropriate modelling of the time distribution of phenological events is key to determining the nature of any changes, as well as the driving mechanisms behind those changes. Here, we present the nlstimedist r package, a distribution function and modelling framework that describes the temporal dynamics of unimodal phenological events. The distribution function is derived from first principles and generates three biologically interpretable parameters. Using seed germination at different temperatures as an example, we show how the influence of environmental factors on a phenological process can be determined from the quantitative model parameters. The value of this model is its ability to represent various unimodal temporal processes statistically. The three intuitively meaningful parameters of the model can make useful comparisons between different time periods, geographical locations or species' populations, in turn allowing exploration of possible causes.
DOI
10.1111/2041-210x.13293
Publication Date
2019-09-03
Publication Title
Methods in Ecology and Evolution
Volume
10
Issue
11
ISSN
2041-210X
Embargo Period
2020-09-02
Organisational Unit
School of Biological and Marine Sciences
First Page
1934
Last Page
1940
Recommended Citation
Steer, N. C., Ramsay, P., & Franco, M. (2019) 'nlstimedist: An R package for the biologically meaningful quantification of unimodal phenology distributions', Methods in Ecology and Evolution, 10(11), pp. 1934-1940. Available at: https://doi.org/10.1111/2041-210x.13293
