Oliver et al (2004) Monitoring bleaching
Oliver et al (2004) Monitoring bleaching.pdf
Oliver et al (2004) Monitoring bleaching.pdf
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• The initi<strong>al</strong>ly random selection of units<br />
can become less representative over<br />
time<br />
In gener<strong>al</strong>, if one of your principle objectives is to d<strong>et</strong>ect reasonably sm<strong>al</strong>l changes over time then fixed<br />
samples are a good choice. However if the time required to relocated and resurvey fixed transects is<br />
more than 2-3 times greater than the time it takes to do survey a random site, then the advantage may<br />
lay with random transects (especi<strong>al</strong>ly if the area is not highly variable). A good compromise might be<br />
to select a minimum number of fixed transects and then to supplement this with addition<strong>al</strong> random<br />
transects. Fixed quadrats can be particularly useful if a primary objective requires the tracking of<br />
individu<strong>al</strong> cor<strong>al</strong> colonies over time.<br />
Pilot Studies<br />
An inv<strong>al</strong>uable step in the development of a well resourced and rigorous monitoring program is to<br />
conduct a pilot study, where a sm<strong>al</strong>l number of samples (at each spati<strong>al</strong> level if it is a nested design) is<br />
collected and used to c<strong>al</strong>culate the variability of the area (variance) for each major variable to be<br />
monitored. This is then used to c<strong>al</strong>culate with much more accuracy the number of samples needed to<br />
draw specific conclusions with a specified level of certainty. This last procedure, c<strong>al</strong>led Power<br />
An<strong>al</strong>ysis, requires advanced statistic<strong>al</strong> skills. Pilot studies may not be feasible if the decision to monitor<br />
is made after the ons<strong>et</strong> of a <strong>bleaching</strong> event, or if it is likely be so short-lived that full sampling is<br />
needed immediately. However some estimate of variance can usu<strong>al</strong>ly be used, either from previous<br />
<strong>bleaching</strong> events in the same area or other from other studies in other areas.<br />
<strong>Monitoring</strong> Procedures<br />
In theory, if we wish to know the percentage of living cor<strong>al</strong> cover that is bleached in an area, then we<br />
should measure levels of <strong>bleaching</strong> and the tot<strong>al</strong> living surface area for every single cor<strong>al</strong> colony within<br />
the area of gener<strong>al</strong> interest. Because this is not possible, a subs<strong>et</strong> of these colonies (a sample) must<br />
instead be measured, with the intent that this subs<strong>et</strong> is representative of the whole s<strong>et</strong> of <strong>al</strong>l cor<strong>al</strong>s, and<br />
thus that any conclusions drawn regarding this subs<strong>et</strong> an accurate estimate of the whole s<strong>et</strong>. Choosing a<br />
sample which adequately represents the tot<strong>al</strong> population for which you wish to draw conclusions about<br />
is a cruci<strong>al</strong> step in the design of any monitoring program. It can be a complicated and som<strong>et</strong>imes highly<br />
technic<strong>al</strong> process. If the monitoring program in question involves substanti<strong>al</strong> investments of time and<br />
resources and/or if the conclusions which will be drawn form the program have important implications<br />
for reef management or socio-economic status of communities dependent on the reef, then it is worth<br />
seeking the assistance of someone with biostatistic<strong>al</strong> training to help design the program. Poor<br />
<strong>al</strong>location of samples can lead to ambiguous or erroneous results. We present here some gener<strong>al</strong> rules<br />
that can help to avoid the worst problems. However if at <strong>al</strong>l possible, g<strong>et</strong>ting the fin<strong>al</strong> monitoring<br />
design reviewed by a third party with some form<strong>al</strong> training in sampling and monitoring design will be<br />
highly benefici<strong>al</strong>.<br />
In gener<strong>al</strong> it is recommended that any monitoring program include a hierarchy of speci<strong>al</strong> sc<strong>al</strong>es starting<br />
with broad region<strong>al</strong> assessments (questionnaires), then synoptic surveys and d<strong>et</strong>ailed rapid site<br />
assessments (manta tows, timed swims), followed by fine sc<strong>al</strong>e monitoring within specific areas<br />
(transects, quadrats) within these sites.<br />
Table 3 Attributes of various monitoring procedures.<br />
Procedure Advantages Disadvantages<br />
Questionnaires Inexpensive; can be widely circulate<br />
Can include r<strong>et</strong>rospective assessments<br />
Can include a wide range of variables<br />
Data are usu<strong>al</strong>ly based on subjective assessments, and subject to<br />
recollection error<br />
Reliability of information providers can be highly variable<br />
Considerable follow up needed to obtained compl<strong>et</strong>ed forms<br />
Aeri<strong>al</strong> Survey Covers huge areas in a short time Expensive; planes may not be available<br />
Requires low tides, fairly clear water and moderate to high <strong>bleaching</strong><br />
Only over<strong>al</strong>l <strong>bleaching</strong> data can be recorded and with fairly low<br />
precision; cannot reliably distinguish b<strong>et</strong>ween some areas of dead<br />
cor<strong>al</strong> and live cor<strong>al</strong>, and high cor<strong>al</strong> cover from low cover<br />
Manta Tow<br />
Covers large areas in short time<br />
Provides more reliable estimates of <strong>bleaching</strong> severity<br />
Best suited to reef edge and upper slope zones<br />
Can be dangerous in rough weather<br />
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