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Saddleback Journal of Biology - Saddleback College

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Fall 2009 <strong>Biology</strong> 3B Paper<br />

60<br />

Relative Density(org./sq. inch)<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

-10<br />

Green Sea<br />

Anemones<br />

California<br />

Mussels<br />

Black Turban<br />

Snails<br />

Blue Banded<br />

Hermit Crabs<br />

Doheny<br />

Laguna<br />

Figure 1. Bar graph displaying the mean relative densities <strong>of</strong> all the listed organisms at both locations<br />

(p=0.99±S.E.M.) Results showed no significant difference for relative density. Error bars indicating Standard<br />

Deviation.<br />

Discussion<br />

There is no perfect method to determine<br />

abundances <strong>of</strong> animals. For this reason, our results<br />

could have been a factor for not having a significant<br />

difference in relative density between both locations.<br />

There are problems <strong>of</strong> arbitrary definitions <strong>of</strong> available<br />

habitat, <strong>of</strong> these make the techniques less than ideal,<br />

but they do not mean that current methods need to be<br />

abandoned, or even that they should be necessarily<br />

modified. Results indicated to having no significant<br />

difference could have been caused because results were<br />

based at low tide. At high tide, numerous other species<br />

move into previously immersed areas and some <strong>of</strong><br />

them may interact with members <strong>of</strong> the resident<br />

community. Having sampled at low tide, it is<br />

considerably easier than at high tide, particularly on<br />

rocky shores. Consequently, most intertidal<br />

observations and collections are made when the tide is<br />

out.<br />

Accuracy <strong>of</strong> the measurements will vary from<br />

organism to organism along a spectrum starting with<br />

large, non-cryptic, stationary organisms, each <strong>of</strong> which<br />

can be unambiguously identified and counted, and<br />

ending with highly mobile species that react to the<br />

process <strong>of</strong> being counted (Lessios, H.A. 1996b.)<br />

Repeatability will <strong>of</strong>ten be low, making large sample<br />

sizes necessary. At one end, determinations <strong>of</strong> an<br />

organism’s density should only include areas at which<br />

it is physically present, in which case, the density <strong>of</strong> all<br />

organisms is only dependent on the size <strong>of</strong> each<br />

individual. At the other end, to determine densities <strong>of</strong><br />

any organism, one would need to sample (and average<br />

over) the entire ocean (Pfister 2007).<br />

The most important action one can take to<br />

improve matters as much as possible is to consider<br />

commonly bias sources, the ways in which this bias<br />

can affect conclusions, and the means <strong>of</strong> determining<br />

exactly how the measurements are being distorted by<br />

the techniques. Further research will be required to<br />

allow for prominent comparisons <strong>of</strong> population<br />

densities.<br />

Literature Cited<br />

Caldeira K, Wickett ME. 2003. Anthropogenic carbon<br />

and ocean pH. Nature pp.425:365-365<br />

Catherine A. Pfister (2007) Intertidal invertebrates<br />

locally enhance primary production. Ecology: Vol.<br />

88, No. 7, pp. 1647-1653<br />

Cha HR, Buddemeier RW, Fautin DG, Sandhei P. 15<br />

November 2004. Distribution <strong>of</strong> seaanemones<br />

(Cnidaria, Actiniaria) in Korea analyzed by<br />

environmental clustering. Hydrobiologia. 430(Sp.<br />

Issue):497-502<br />

Lessios, H.A. 1996b. Methods for quantifying<br />

abundance <strong>of</strong> marine organisms. Smithsonian Tropical<br />

Research Institute, Balboa, Panama pp. 149-157<br />

Jayalakshmy KV, Saraswathy M, Nair M. 20 August<br />

2008. Effect <strong>of</strong> water quality parameters on the<br />

distribution <strong>of</strong> Pleuromamma (Copepoda-Calanoida)<br />

species in the Indian Ocean: a statistical approach.<br />

Environmental Monitoring and Assessment. 155(1-4):<br />

373-392<br />

137<br />

<strong>Saddleback</strong> <strong>Journal</strong> <strong>of</strong> <strong>Biology</strong><br />

Spring 2010

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