Modeling temporal phenomena in variable environments with parametric models: An application to migrating salmon

Richard W. Zabel, Brian J. Burke, Mary L. Moser and Christopher C. Caudill

Ecological Modelling, 2014, vol. 273, issue C, 23-30

Abstract: Timing phenomena are integral to many ecological processes but are difficult to analyze due to the unique nature of timing data and because environmental conditions and behavior can vary during the observation period. We demonstrated methods, based on parametric hazard-rate modeling, to analyze “time-to-event” data under time-varying conditions. We developed routines in R to apply parametric models, based on the exponential, Weibull, and modified Weibull distributions, to time-to-event data. We applied the models to data on the time for migrating adult salmonids to successfully pass a hydroelectric dam. The model captured pronounced diel behavior and the effects of time-varying covariates river flow, spill, and water temperature on passage times. The methods we demonstrated have potential application to a broad range of ecological questions.

Keywords: Hazard rate; Time-to-event analysis; Survival analysis; Chinook salmon; Steelhead (search for similar items in EconPapers)
Date: 2014
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304380013004870
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:273:y:2014:i:c:p:23-30

DOI: 10.1016/j.ecolmodel.2013.10.020

Access Statistics for this article

Ecological Modelling is currently edited by Brian D. Fath

More articles in Ecological Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().