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Grimsditsch et al Pemba Resilience Survey 2009 low res

Grimsditsch et al Pemba Resilience Survey 2009 low res.pdf

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The Study<br />

7. <strong>Resilience</strong> indicators – these are factors that affect the <strong>res</strong>istance of cor<strong>al</strong>s to bleaching and the <strong>res</strong>ilience<br />

or recovery potenti<strong>al</strong> of the reef community. A broad range of indicators in different classes is measured,<br />

including of aspects in 1-6 above, but at less quantitative levels. The main classes of indicators are listed<br />

be<strong>low</strong>:<br />

Group Factor Explanation<br />

Benthic Cover Cover Primary indicators of reef he<strong>al</strong>th, particularly of cor<strong>al</strong> and <strong>al</strong>g<strong>al</strong> dominance<br />

and comp<strong>et</strong>ition.<br />

Cor<strong>al</strong> community Current Indicators of the current condition of the cor<strong>al</strong> community, including<br />

recruitment, aspects of size class structure, condition, <strong>et</strong>c.<br />

Historic<br />

Indicators of the historic condition of the cor<strong>al</strong> community, including past<br />

impacts and recovery to date.<br />

Ecologic<strong>al</strong> – reef<br />

community<br />

Positive<br />

Associates that are positive indicators of cor<strong>al</strong> he<strong>al</strong>th – e.g. <strong>res</strong>ident fish in<br />

branching cor<strong>al</strong>s, obligate feeders that don’t harm cor<strong>al</strong>s.<br />

Negative<br />

Assoiates that are negative indicators of cor<strong>al</strong> he<strong>al</strong>th – e.g. boring<br />

organisms, encrusting sponges, <strong>et</strong>c.<br />

Fish herbivory He<strong>al</strong>th of the fish herbivore community<br />

Physic<strong>al</strong> Substrate Substrate he<strong>al</strong>th, critic<strong>al</strong> for s<strong>et</strong>tlement and surviv<strong>al</strong> of young cor<strong>al</strong>s<br />

Cooling & flushing Factors that cause mixing and cooling of water, which can reduce the high<br />

temperatu<strong>res</strong> experienced by a reef<br />

Shading & screening Factors that reduce light pen<strong>et</strong>ration in the water, thus reducing<br />

synergistic st<strong>res</strong>s to cor<strong>al</strong>s from temperature and light.<br />

Acclimatization Factors that cause high variability in environment<strong>al</strong> conditions, that<br />

promote acclimatization of cor<strong>al</strong>s to st<strong>res</strong>s.<br />

Connectivity Larv<strong>al</strong> source/sink Size and spati<strong>al</strong> relationships of he<strong>al</strong>thy cor<strong>al</strong> communities and reefs from<br />

the loc<strong>al</strong> to region<strong>al</strong> sc<strong>al</strong>e.<br />

Transport<br />

Transport of water b<strong>et</strong>ween reefs<br />

Anthropogenic Water Human impacts to water qu<strong>al</strong>ity, that reduce the recovery ability of reefs<br />

and increase st<strong>res</strong>s to cor<strong>al</strong>s<br />

Substrate<br />

Human impacts to the reef substrate, that reduce the recovery ability of<br />

reefs and increase st<strong>res</strong>s to cor<strong>al</strong>s<br />

Fishing<br />

Degree of fishing and its impact on recovery ability of reefs.<br />

2.5 An<strong>al</strong>ysis<br />

An<strong>al</strong>ysis proceeded through the fol<strong>low</strong>ing broad steps, for each datas<strong>et</strong> collected:<br />

1. C<strong>al</strong>culation and plotting of basic distributions for each variable, across<br />

<strong>al</strong>l study sites. These are done first to illustrate the basic patterns shown<br />

by individu<strong>al</strong> variables and indicators. Ex: Chart titled Rumaki Cor<strong>al</strong><br />

Community-genera<br />

2. Multi-dimension<strong>al</strong> Sc<strong>al</strong>ing (MDS) an<strong>al</strong>ysis helps to reve<strong>al</strong> patterns in<br />

datas<strong>et</strong>s that include multiple variables, and particularly usefulness where<br />

param<strong>et</strong>ric tests (e.g. ANOVA) are not appropriate. Ex: Chart titled<br />

Rumaki benthi cover 2007.<br />

By projecting <strong>al</strong>l variables onto x and y axes, an MDS plot helps illustrate<br />

which points are close to one another and which are distant. Thus the<br />

physic<strong>al</strong> distance of points on the plot (upper right) illustrates their relative<br />

distance in the datas<strong>et</strong>. By superimposing a variable in the datas<strong>et</strong> on the<br />

points, where the size of a circle rep<strong>res</strong>ents the magnitude of the variable,<br />

‘bubbleplots’ (be<strong>low</strong> right) can help to illustrate which variables are most<br />

important in d<strong>et</strong>ermining the relatedness among points on the plot. The<br />

circles around clusters of points illustrate significant groupings of sites,<br />

and help interpr<strong>et</strong>ation of the <strong>res</strong>ults. Basic<strong>al</strong>ly the larger the bubble, the<br />

he<strong>al</strong>thier that component of the cor<strong>al</strong> reef ecosystem is.<br />

9

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