fishmove-package: Prediction of Fish Movement Parameters based on Multiple...

In fishmove: Prediction of Fish Movement Parameters

Description

Functions to predict fish movement parameters based on multiple regression and plotting leptokurtic fish dispersal kernels.

Package:	fishmove
Version:	0.3-3
Date:	2015-03-23
Depends:	ggplot2, plyr, MASS, boot
License:	GPL (>= 2)
Depends:	ggplot2
URL:	http://dx.doi.org/10.1111/faf.12028

Details

The package fishmove consists of two main functions: fishmove and pdk:

fishmove predicts movement parameters of leptokurtic fish dispersal. The prediction is based on multiple regression on four variables (fish length, aspect ratio of the caudal fin (Pauly, 1989), stream order (Strahler, 1957) and time).

The package 'fishmove' is based on a meta-analyis of heterogeneous fish movement in rivers (see Radinger and Wolter, 2014)

The movement parameters are calculated for a stationary (sigma_stat) and for a mobile component (sigma_mob) of a fish population. These parameters in combination with a value for the share of each component can be used to describe and display leptokurtic dispersal kernels according to:

F(x) = p * (1/(2*pi*sigma_stat^2)^(1/2))*e^(-(x-mu)^2/(2*pi*sigma_stat^2)) + (1-p) * (1/(2*pi*sigma_mob^2)^(1/2))*e^(-(x-mu)^2/(2*pi*sigma_mob^2))

In addition, common fish length and aspect ratio, are already provided for 40 different species from fishbase.org (Froese and Pauly, 2011).

The pdk function provides plots (based on ggplot2) of probability density kernels (pdk) for leptokurtic fish dispersal. For each plot the fitted mean as well as the upper and the lower bound (based on confidence or prediction interval) are displayed.

The fishmove.query function provides a tool to query a dispersal kernel (predicted by fishmove) where (distance from source) a certain probability can be found. Also the reverse is possible to query what probability of occurence is found in a certain distance on the dispersal kernel.

Improvements, bug fixes and constructive criticism are welcome.

Author(s)

Johannes Radinger

Maintainer: Johannes Radinger <[e-mail]>

References

Froese, R. and Pauly D. (2011) FishBase. World Wide Web electronic publication. www.fishbase.org, version (12/2011).

Pauly, D. (1989) A simple index of metabolic level in fishes. Fishbyte, Newsletter of the Network of Tropical Fisheries Scientists 7, 22.

Radinger, J. and Wolter C. (2014) Patterns and predictors of fish dispersal in rivers. Fish and Fisheries. 15:456-473. DOI: http://dx.doi.org/10.1111/faf.12028.

Strahler, A. N. (1957) Quantitative analysis of watershed geomorphology. Transactions of the American Geophysical Union 8, 913-920.

Examples

	# Prediction for a selected fish species with time=365 days
	trout <- fishmove(species="Salmo trutta fario",T=365)

	# Plot of a leptokurtic dispersal kernel 
	# (density plot for fitted mean, lower and upper limit)
	pdk(trout)

Example output

Loading required package: ggplot2
Loading required package: plyr
Loading required package: MASS
Loading required package: boot

fishmove documentation built on May 1, 2019, 9:04 p.m.