DOI: 10.5061/dryad.2jm63xskg
title: Temperature-dependent effects of sea-louse infestation on juvenile Atlantic salmon

description: Infectious diseases are key drivers of wildlife populations and
 agriculture production, but whether and how climate change will influence
 disease impacts remains controversial. One of the critical knowledge gaps
 that prevents resolution of this controversy is a lack of high-quality
 experimental data, especially in marine systems of significant ecological
 and economic consequence. Here, we performed a manipulative experiment in
 which we tested the temperature-dependent effects on Atlantic salmon
 (Salmo salar) of sea lice (Lepeophtheirus salmonis) – a parasite that can
 depress the productivity of wild-salmon populations and the profits of the
 salmon-farming industry. We explored sea-louse impacts on their hosts
 across a range of temperatures (10, 13, 16, 19, and 22 °C) and infestation
 levels (zero, ‘low’ (mean abundance ± SE = 1.6 ± 0.1 lice per fish), and
 ‘high’ infestation (6.8 ± 0.4 lice per fish)). We found that the effects
 of sea lice on the growth rate, condition, and survival of juvenile
 Atlantic salmon all worsen with increasing temperature. Our results
 provide a rare empirical example of how climate change may influence the
 impacts of marine disease in a key social-ecological system. These
 findings underscore the importance of considering climate-driven changes
 to disease impacts in wildlife conservation and agriculture. This
 Dryad submission includes the growth-rate, condition, and
 survival data for the manuscript entitled "Increasing
 temperatures accentuate negative fitness consequences of a marine
 parasite" by Sean C. Godwin, Mark D. Fast, Anna Kuparinen,
 Kate E. Medcalf, and Jeffrey A. Hutchings. 
description: See methods section of manuscript.
description: <strong>Notes</strong><br> NAs due to unmatched
 pit tags between start and end of experiment (i.e., no pit tag scanned at
 start and/or end) <strong>Column metadata for
 growth-rate and condition dataset</strong><br> date = date
 (yyyy-mm-dd)<br> temp.group = assigned temperature group<br>
 temp.real = observed mean temperature of temperature group over course
 of experiment<br> dd = observed number of degree-days for
 temperature group over course of experiment<br> inf = infestation
 level (zero, low, high)<br> fish.id = unique identifier for
 individual fish<br> body.wt = wet body weight in grams at end of
 experiment<br> length = fork length in centimetres at end of
 experiment<br> k = condition factor at end of experiment (see paper
 for calculation details)<br> pre.body.wt = wet body weight in grams
 at beginning of experiment<br> pre.length = fork length in
 centimetres at beginning of experiment<br> pre.k = condition factor
 at beginning of experiment (see paper for calculation details)<br>
 k.change = k / pre.k<br> growth.dd = growth rate in grams per degree
 day (see paper for calculation details)
 <strong>Column metadata for survival
 dataset</strong><br> temp.group = assigned temperature
 group<br> temp.real = observed mean temperature of temperature group
 over course of experiment<br> inf = infestation level (zero, low,
 high)<br> time = number of days from infestation to event<br>
 censor = dissection (1) or mortality (2)