Generalised extreme value distributions provide a natural hypothesis for the shape of seed mass distributions
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Edwards, Will; Moles, Angela T.; Chong, Caroline
Description
Among co-occurring species, values for functionally important plant traits span orders of magnitude, are uni-modal, and generally positively skewed. Such data are usually log-transformed "for normality" but no convincing mechanistic explanation for a log-normal expectation exists. Here we propose a hypothesis for the distribution of seed masses based on generalised extreme value distributions (GEVs), a class of probability distributions used in climatology to characterise the impact of event...[Show more]
Collections | ANU Research Publications |
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Date published: | 2015-04-01 |
Type: | Journal article |
URI: | http://hdl.handle.net/1885/14285 |
Source: | PLOS ONE |
DOI: | 10.1371/journal.pone.0121724 |
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Edwards et al Generalised Extreme Value Distributions 2015.pdf | 286.93 kB | Adobe PDF | ![]() |
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