Quantifying changes in abundance without counting animals: extensions to a method of fitting integrated population models

Freeman, Stephen N.; Besbeas, Panagiotis. 2012 Quantifying changes in abundance without counting animals: extensions to a method of fitting integrated population models. Journal of Ornithology, 152 (suppl. 2). 409-418. 10.1007/s10336-011-0667-4

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Official URL: http://www.springerlink.com/content/k156mr185x0826...

Abstract/Summary

Integrated population modelling techniques combine information from population surveys and independent demographic studies to estimate population size, survival and productivity rates simultaneously. We review the development of the approach, and investigate further the potential to incorporate sources of population survey data other than those currently employed. Generally, the simpler the field protocol, the more data can be gathered; in the simplest case, only a list of species encountered when a site is surveyed might be recorded. We extend the integrated approach to the case of presence/absence survey data from species lists. We consider specifically the extent to which high-quality demographic data, used in conjunction with an ecologically sound model, may result in credible estimates of change and the drivers of it in the context of either counts or presence/absence survey data. We propose an approach to practical model fitting, applicable in either context, using standard software, and we illustrate its performance in practice. Examples are based on simulated data and records of species with very different trends and ecology, and they are used to compare approaches.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.1007/s10336-011-0667-4
Programmes:	CEH Topics & Objectives 2009 - 2012 > Biodiversity
UKCEH and CEH Sections/Science Areas:	Pywell
ISSN:	0021-8375
Additional Information. Not used in RCUK Gateway to Research.:	This document is the author’s final manuscript version of the journal article, incorporating any revisions agreed during the peer review process. Some differences between this and the publisher’s version remain. You are advised to consult the publisher’s version if you wish to cite from this article. The final publication is available at link.springer.com
Additional Keywords:	demographic rates, generalized linear modelling, presence/absence data, profile likelihood, species lists
NORA Subject Terms:	Ecology and Environment
Date made live:	21 Dec 2011 12:41 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/13748

Item Type:

Publication - Article

Digital Object Identifier (DOI):

10.1007/s10336-011-0667-4

Programmes:

CEH Topics & Objectives 2009 - 2012 > Biodiversity

UKCEH and CEH Sections/Science Areas:

Pywell

ISSN:

0021-8375

Additional Information. Not used in RCUK Gateway to Research.:

This document is the author’s final manuscript version of the journal article, incorporating any revisions agreed during the peer review process. Some differences between this and the publisher’s version remain. You are advised to consult the publisher’s version if you wish to cite from this article. The final publication is available at link.springer.com

Additional Keywords:

demographic rates, generalized linear modelling, presence/absence data, profile likelihood, species lists

NORA Subject Terms:

Ecology and Environment

Date made live:

21 Dec 2011 12:41 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/13748