Dennis, Emily B., Morgan, Byron J. T., Freeman, Stephen N., Roy, David B., Brereton, Tom (2015) Dynamic models for longitudinal butterfly data. Journal of Agricultural, Biological, and Environmental Statistics, 21 (1). pp. 1-21. ISSN 1085-7117. E-ISSN 1537-2693. (doi:10.1007/s13253-015-0216-3) (KAR id:46264)
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Official URL http://dx.doi.org/10.1007/s13253-015-0216-3 |
Abstract
There has been recent interest in devising stochastic models for seasonal insects, which
indices of abundance, which guide conservation and management. We build upon Dennis et
data from all years simultaneously. They produce estimates of key life-history parameters
Analyses for univoltine species, with only one generation each year, extend to bivoltine
generation separately, and also devise extended indices which indicate the contributions
We demonstrate the performance of the models using count data for UK butterfly species,
orate relevant covariates within the model, and illustrate using northing and measures of
variety of hypotheses for further investigation, which have the potential to illuminate features
of butterfly phenology and demography which are at present poorly understood.
Item Type: | Article |
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DOI/Identification number: | 10.1007/s13253-015-0216-3 |
Uncontrolled keywords: | abundance; auto-regression; butterflies; concentrated likelihood; indicators of biodiversity; indices; multi-stage life cycle; phenology |
Subjects: |
Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics Q Science > QH Natural history > QH541 Ecology |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science |
Depositing User: | Byron Morgan |
Date Deposited: | 19 Dec 2014 15:47 UTC |
Last Modified: | 16 Feb 2021 13:21 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/46264 (The current URI for this page, for reference purposes) |
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