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Oliver et al (2004) Monitoring bleaching

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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 />

15

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