Skip to main content

Caste-specific demography and phenology in bumblebees; modelling BeeWalk data

Matechou, Eleni, Freeman, Stephen N., Comont, Richard (2018) Caste-specific demography and phenology in bumblebees; modelling BeeWalk data. Journal of Agricultural, Biological, and Environmental Statistics, 23 (4). pp. 427-445. ISSN 1085-7117. (doi:10.1007/s13253-018-0332-y) (KAR id:67427)

PDF Publisher pdf
Language: English


Download (594kB) Preview
[thumbnail of Matechou2018_Article_Caste-SpecificDemographyAndPhe.pdf]
Preview
This file may not be suitable for users of assistive technology.
Request an accessible format
PDF Author's Accepted Manuscript
Language: English
Download (337kB) Preview
[thumbnail of BeeWalkPaper.pdf]
Preview
This file may not be suitable for users of assistive technology.
Request an accessible format
Official URL
https://doi.org/10.1007/s13253-018-0332-y

Abstract

We present novel dynamic mixture models for the monitoring of bumblebee populations on an

allow us for the First time to estimate bumblebee phenology and within-season productivity, defined as

data. All of these parameters are estimated separately for each caste, giving a means of considerable

Due to the dynamic nature of the models, we are able to produce population trends for a number of

the extent to which useful information will increase if the survey continues, and expands in scale,

pollination services of vast economic impact and functioning as indicator species for changes in climate

and provide an invaluable tool for monitoring bumblebee populations, many of which are in decline,

in the UK and around the world.

Item Type: Article
DOI/Identification number: 10.1007/s13253-018-0332-y
Uncontrolled keywords: citizen science, mixture models, phenology, population trends, productivity, stopover models, SEAK
Subjects: Q Science > QA Mathematics (inc Computing science)
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science
Depositing User: Eleni Matechou
Date Deposited: 27 Jun 2018 11:54 UTC
Last Modified: 16 Feb 2021 13:55 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/67427 (The current URI for this page, for reference purposes)
Matechou, Eleni: https://orcid.org/0000-0003-3626-844X
  • Depositors only (login required):

Downloads

Downloads per month over past year