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Oliver et al (2004) Monitoring bleaching

Oliver et al (2004) Monitoring bleaching.pdf

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Buddy:<br />

Vessel:<br />

Depth:<br />

Replicate:<br />

Benthic code:<br />

Transition:<br />

Occurrence:<br />

Bleaching:<br />

Bleaching notes:<br />

Disease:<br />

Dis ease notes:<br />

COTS:<br />

Physic<strong>al</strong> damage:<br />

Enter the name of the dive buddy (where appropriate)<br />

Enter the name of the main boat used for the survey (if available)<br />

Enter depth of the transect start<br />

Enter the replicate number for this transect<br />

Enter the code for the type of benthos for this transition<br />

Enter the v<strong>al</strong>ue in cm for the end point of the transition<br />

Enter a number to indicate if this a part of a previously recorded colony<br />

Enter the degree of <strong>bleaching</strong> for this colony section (if applicable) using<br />

standard <strong>bleaching</strong> code (0-4) described in Table 8 of Appendix 3<br />

Enter any other observations on the appearance of the bleached colony section<br />

Is the colony section diseased? (yes/no)<br />

Enter observations on the type, appearance and severity of the disease<br />

Is the colony section part of a COTS feeding scar? (yes/no)<br />

Has the colony section been physic<strong>al</strong>ly damaged? (yes/no)<br />

For benthic codes refer to Table 10 of appendix 3. Use 18 categories (level 4 in Table 10), with<br />

addition<strong>al</strong> d<strong>et</strong>ail to 30 categories (level 5) where possible.<br />

Quadrats or other shapes of defined areas<br />

Quadrats are useful for mapping <strong>al</strong>l colonies in sm<strong>al</strong>l defined area. If the quadrats are permanent, then<br />

individu<strong>al</strong> colonies can be easily relocated and tracked over time. Photo transects, in which the entire<br />

quadrat is photographed (in one or a sequence of images) are recommended since the images can be<br />

an<strong>al</strong>ysed to c<strong>al</strong>culate percentage cover for <strong>al</strong>l colonies. However direct field recording is advantages in<br />

some circumstances (see Table 8). Photo quadrats are usu<strong>al</strong>ly about 1m x 1m or 2m x 2m. In each<br />

quadrat percentage cover for <strong>al</strong>l relevant cover classes and % of this that is bleached in should be<br />

c<strong>al</strong>culated. The size and <strong>bleaching</strong> index of each colony greater that 3cm should be recorded. D<strong>et</strong>ails on<br />

recording images for photo quadrats can be found in ?ref?.<br />

Table 8 Image An<strong>al</strong>ysis vs Field Measurements<br />

Field recording<br />

(slate and pencil)<br />

Image recording<br />

(camera, video)<br />

Advantages<br />

• highest resolution (eyes)<br />

• lowest over<strong>al</strong>l time from<br />

observation to database<br />

• data entry is rapid and does not<br />

require an expert<br />

• shorter time required in water<br />

• Less expertise needed in field<br />

• Can resurvey the images for<br />

addition<strong>al</strong> variables later<br />

Disadvantages<br />

• need higher level of expertise in the<br />

field<br />

• field component takes longer<br />

• Cannot go back and resurvey for<br />

addition<strong>al</strong> variables<br />

• lower resolution results in less reliable<br />

identifications<br />

• an<strong>al</strong>ysis of images takes time and high<br />

level of expertise<br />

• longer tot<strong>al</strong> time from observation to<br />

database<br />

Minimizing observer variation<br />

In both the synoptic surveys (manta tows, timed swims) and the d<strong>et</strong>ailed LIT surveys, there are<br />

variables which are subjectively estimated rather than being measured using a tape or other instrument.<br />

This includes <strong>al</strong>l cover estimates for the timed swims, and <strong>al</strong>so <strong>bleaching</strong>, disease and damage<br />

estimates for the LIT. As a result, differences b<strong>et</strong>ween observers can result in apparent differences in<br />

the observed variable. In order to minimise inter-observer variation, it is recommended that the same<br />

person or sm<strong>al</strong>l group of people are used to recorded <strong>al</strong>l data. At the beginning of any sampling<br />

program, and again at the end, <strong>al</strong>l observers should survey the same 2-3 areas or transects at the same<br />

time in order to document the extent of inter-observer variability. Where there is a large difference<br />

b<strong>et</strong>ween observers, addition<strong>al</strong> training and discussion should be held to identify and minimise the<br />

source of this variation. If a consistent difference b<strong>et</strong>ween observers remains throughout the program,<br />

careful consideration could be given to applying a correction factor for one or more observers.<br />

21

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