We are seeking collaborations with researchers working on the behavioural 
ecology of cetaceans around the world. The long term goal of the collaborations 
is to develop research to determine sustainable levels of whalewatching. For 
the past 25 years, a large number of studies have investigated the effects of 
whalewatching on cetaceans and their potential impacts. From this body of work 
there is a consensus emerging that “the fitness of individual Odontocetes 
repeatedly exposed to whalewatching vessel traffic can be compromised and that 
this can lead to population level effects” (IWC 2006). There is currently no 
consensus on mysticetes. The IWC Scientific Committee has strongly encouraged 
the development of research, particularly on large whales, to determine 
sustainable levels of whalewatching.
To this end we are developing a large-scale research programme (Large-scale 
Whale-watching Experiment – LaWE) with the goal of providing scientific advice 
to determine sustainable levels of whalewatching. This IWC initiative has been 
developed to assess how whalewatching exposure can interact with the life 
history strategies of the targeted individuals and the ecological conditions of 
their habitat to lead to population-level consequences. We have developed a 
research programme proposal with seven clear objectives. The text of the 
proposal is available at 
http://www.iwcoffice.org/conservation/whalewatching.htm. We are hoping to be 
able to initiate the project in the year to come, starting with a power 
analysis to define the number of sites that will be required for 
hypotheses-testing.
To this end, we are opening a call to researchers who have conducted 
behavioural studies (not necessarily whale-watch impact research) on cetaceans 
(odontocete and mysticete) in the past or are currently doing so. We have 
carried out previous attempts to meta-analyse data from preexisting 
whalewatching impact assessment studies to compare effect size across different 
sites. However, this analysis came to an impasse due to disparities in 
methodology and the statistics reported. Such meta-analyses will help focus 
sampling strategies and work towards several of the objectives of LaWE. We are 
therefore interested in collating raw data on key parameters identified for the 
LaWE project to carry out such metaanalyses (as well as power analyses) for one 
of the aims of the LaWE (“Understand the mechanism involved in the causal 
relationship between whalewatching exposure and the survival and vital rates of 
exposed individuals”). We have identified interest in the following variables:
Activity budgets (based on focal follow sampling)
Movement patterns (based both from land-based sampling techniques and animal 
instrumentation)
Habitat use (both from photo-identification and the sampling of the movement of 
individuals)
This is an initial call to gauge interest in entering in such coordinated 
collaborative effort. If you possess such data, that could be used for the 
power analyses described in the research proposal, with information on quality 
control and quality assurance during sampling (e.g., formalised sampling 
protocols, consistent and regular calibration of sampling procedures), and are 
interested in participating to this collaborative effort, please contact us by 
emailing David Lusseau ([email protected]). We will then discuss the 
possible mechanisms to develop this collaboration, ensuring the respect of data 
ownership, which will be coordinated from within the IWC.

best wishes,
David
on behalf of the LaWE Steering Group

___________________________________________
Dr. David Lusseau
MASTS Lecturer in Marine Top Predator Biology

University of Aberdeen
School of Biological Sciences
Zoology Bldg, Tillydrone Avenue
Aberdeen, AB24 2TZ, UK
Phone: (0)1224 272843

Website: http://www.abdn.ac.uk/ibes/staff/d.lusseau

Find out more about our MSc in Applied Marine and Fisheries Ecology at 
http://www.abdn.ac.uk/fisheco

Ecology theme: http://www.abdn.ac.uk/ibes/research/ecology/
____________________________________________

REMEMBER: Populations are full of individuals
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