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The Correlation Between Distance from the Waterline and Percent Cover of Ascophyllum and Fucus Brown Algae in the Intertidal Zones of the New England Rocky Coastal Shore Odiorne Point, Odiorne Point State Park, Rye New Hampshire, USA

Fucus and Ascophyllum

Ascophyllum is found at sites with low, moderate, and high waves, but it is predominantly found in mid to upper tidal heights. Grows upward, maximizing the absorption of sunlight for photosynthesis Grows year-round, there is no resting period. Fucus is typically found in the upper mid-intertidal zone and is one of the most dominant species of algae. They are tolerant of a wide range of salinity levels. Some of their common characteristics are as follows:

  • Ascophyllum grows upward by anchoring to hard substrates.
  • Ascophyllum has ‘gas/air bladders’ called pneumatocysts that help with keeping afloat in the water.
  • Focus’ form dense canopies that reach the upper intertidal zone. They become smaller, and less dense the higher up they are. They also have the gas/air bladders.

Intertidal zone:

He intertidal zones of rocky shores are separated into four zones based on environmental factors and water levels at low and high tides, as well the standard sea level (Tidal Zones). Splash Zone: Extends from the most upper reach of sea spray and storm waves to the highest point of the average high tide. Organisms found in this zone: small barnacles, periwinkles, and ribbed limpets. Upper Intertidal Zone: Extends from the highest point of the average high tide to just below the standard sea level. Organisms found in this zone: Acorn barnacles, hermit crabs, shore crabs, and black turban snails (Foster, 1982).

Splash Zone:

Few organisms can live in this zone due to the risk of desiccation and the threat of avian and mammalian predators. Mid Intertidal Zone: Extends from just below the standard sea level to the upper limit of the average low tide. Organisms found in this zone: various mussel species, giant green anemones, black leather chitons, sea palms, gooseneck barnacles, and coralline algae

Low Intertidal Zone:

It extends below the upper limit of the average low tide. Organisms in this zone: kelp crabs, gumboot chitons, ochre sea star, blue top snail, purple sea urchins, and various species of sponges

Mid Intertidal Zone:

most biodiverse intertidal zone, high percent algae cover, algae beds serve as food and shelter to many organisms

Low Intertidal zone:

They are the organisms in this zone are only emerged by unusually low tides

Tide pools:

Tide pools within the intertidal zones also serve as habitats for many organisms, including algae species, though different challenges are present due to the characteristics of the microenvironments within a tide pool. Not wholly emerged at low tides. Daily fluctuations in temperature and salinity in the temperature are up to a 15°C change throughout the day. Salinity: Can stratify under certain circumstances. Organisms Commonly Found in Tide Pools: marine diatoms, vascular plants, bryophytes, invertebrates, and fish. The fucoids F. vestculosus and Ascophyllum nodosum are also commonly found in tide pools (Lubchenco, 1980).

Daily Fluctuations: can stratify

Temperature: affected by sunlight intensity, a volume of the pool, wave exposure, shade coverage, and height of the pool. Salinity Stratification: can be caused by splashing, rainfall, evaporation in the summer, or freezing in the winter. Normal Biological processes also play a role in fluctuations in oxygen saturation, alkalinity, and pH

Research question:

How does percent algae cover differ throughout the intertidal zone, and what factors affect it?

Hypothesis and Rationale:

Hypothesis: Percent algae cover of the brown algae Ascophyllum and Fucus will increase as the distance from the waterline decreases, with the highest percent algae cover in the mid-intertidal zone.

Rationale: The lower intertidal zones have more resources and protection for algae present in those zones compared to those higher up the shore. The mid intertidal zone will contain a more top percent alga cover since the low intertidal zone commonly has a standing water depth more profound than what most algae are tolerant to.

Null Hypothesis: Percent algae cover of the brown algae Ascophyllum and Fucus are not the highest in the mid-intertidal zone, the distribution of brown algae is equal across all intertidal zones, or the percent cover of brown algae does not increase as the distance from the waterline decreases.

Location:

Odiorne Point, Odiorne Point State Park, Rye, New Hampshire, USA Sampling Dates: March 21, 2018-March 25, 2018. Data Samples included in this study were taken at the West Protected Cove Site.

Protocol/Methods

Groups of four students chose a shoreline direction, either north, south, or west, and collected data at either exposed or protected sites. A 40-meter transect was set up perpendicular to the shoreline, and data was collected in quadrats every 5 meters. Data included, percent brown algae cover, percent red algae cover, and percent green algae cover. The first substrate were recorded, as well as the percent live barnacle coverage. Lastly, the number of species of green crab and Asian crab were also collect, and they were categorized into size, juvenile, small, medium, large and extra-large. Other data was also recorded if present in the transect. For this study, only the data about percent brown algae coverage found in the west protected cove site was relevant to the results. Ascophyllum and Fucus were the two brown algae studied in this experiment.

Data Analysis

  • Variables:
    • Dependant: Ascophyllum percent coverage, Fucus percent coverage
    • Independent: Distance from a waterline

Raw data was interpreted by the use of logical operators with an if statement on excel. Once the proper data was selected, it was inserted into a sorted table. The table was then compiled into the table shown below. ANOVA’s were performed, if proved to be significant an ad hoc Tukey Test was performed

  • Data was graphed

RESULTS AND DATA

Fucus data:

https://lh4.googleusercontent.com/MG938O-zFWqlIu2v5Lw8iYGWzgSsfg73U6JaPZ7a65sOBHz6tWuvqogSoa1jhziYZ_52vCV1oxNmCj3FZ-AsQoV0ZnpE-N9e1qT4u65_ES4ZCV0pwr_CUTzoWGNJIEytyO4jBLdEUYw

https://lh5.googleusercontent.com/Eg9Uy0IXm_TlU1-XBRm3qtxESQCXuLuJQwxpBtfsjPwDhwk4fAtgpJvIthClBowCfd2nrv3EdquaXW9zY9ghlzKrsIpHOMS5vdeyhOD19YFCT2Ejhw7pbeaZLcqWE3U6WQ2FjB4AhR0

  • F-Crit = 4.493
  • P > α
  • F-Calc > F-Crit
  • Null Hypothesis is rejected
  • Alternative Hypothesis is supported
  • α = 0.05
  • One Way ANOVA test
  • https://lh3.googleusercontent.com/f4cVm_iW-tKFYJWVNUNOqGUy0WiyfkTnlF5kuQ_J8wUhWns2oRPmGpyDlOxaPFKGRj7Bow8rbNPMbIXn3WU6jkAXWugnIpq3c6TzYVXzkylumYLrEjFLdp8YEaDUUauP7wiKG20hAvA

Asco data

https://lh3.googleusercontent.com/uQ7WuczSTG2Jmv0SMRHQbqKVeFkBSVbhBcvm98XdUKTGxI7N0Gy6ZVzc2kPxb-KZvO_VlDs1dhXe7KjRblmif8lUNA-X-pdpd7t2QPgEFApt3LD0D5-906cb_SnQZBHkmhLiJC8_VNI

https://lh6.googleusercontent.com/WXxOwmYE2ibIecz4yopP4ZpFg6vm0KuVXThq96Ap-ZOc-x0VyWtxc5voWVcbM7dMrhttBeBgMAwzT2eKKRQRNOWmNrei5qjvv6aDQmfznzn9qxs1h52mm9tD71rouUe6e3rh1_ptRCs

  • F-Crit = 4.493
  • P < α
  • F-Calc > F-Crit
  • Null Hypothesis is rejected
  • Alternative Hypothesis is supported by the ANOVA
  • Comparison of alpha and P

https://lh4.googleusercontent.com/0MtPs1eLlnhDjj0_MQou5cXwiWi3_vpi6kOQci8b35MlfqOyYgfwnOgSXGdBGwT-l0zDwhrCahpTTw0iFybZI4Yyk7V7rOl8O0EomRHy7npG2pTAaYhG3y_XakkE5r0CtDfTtg6-uV8

  • α = 0.05
  • One Way ANOVA test

Significance of Results

https://lh4.googleusercontent.com/WK_CreFwUTGsY_RzQADqHxshraRTXl-RAKzE63y0MSdOgCOEIIOr3fQO0MJzypbzTEMizdK4OYrDyha5oui4kWQpjmFnIOMasVBFTvtAPwmZCHVLhvO1mti1XCStoey56gxbXC7PiPI

The rejected Null hypothesis is further backed by results of Tukey Test HSD which for both Ascophyllum and Fucus yielded a significant difference. The rejection of the null hypothesis does not specifically mean the support of our original hypothesis, but it does mean the support of our alternative hypothesis. Comparison of p-values and alpha

Comparison to peer study has been made, and it was found out that there is no direct replication of the experiment described in this presentation. Welch et al. discovered the relationship of percent coverage of algae to the biomass of substrate. Found similar results from our study

Research Question and Hypothesis Recap:

Our largest error in this study was in the factors that we based our hypothesis on, mainly in the intertidal zones we included. We hypothesized that the percent algae cover of Ascophyllum and Fucus would be the highest in the mid-intertidal zone, among other hypothesized findings. This estimation was inaccurate since the intertidal zones cannot be measured quantifiably as they vary with each coastal region. Future studies regarding the percent cover of algae species could focus more on the variation of percent cover across smaller distances that are easy to quantify, such as those used in the data collection for this study.

Conclusion

Our largest error in this study was in the factors that we based our hypothesis on, mainly in the intertidal zones we included. We hypothesized that the percent algae cover of Ascophyllum and Fucus would be the highest in the mid-intertidal zone, among other hypothesized findings. This estimation was inaccurate since the intertidal zones cannot be measured quantifiably as they vary with each coastal region. Future studies regarding the percent cover of algae species could focus more on the variation of percent cover across smaller distances that are easy to quantify, such as those used in the data collection for this study.

Errors and What to do Differently

Our largest error in this study was in the factors that we based our hypothesis on, mainly in the intertidal zones we included. We hypothesized that the percent algae cover of Ascophyllum and Fucus would be the highest in the mid-intertidal zone, among other hypothesized findings. This estimation was inaccurate since the intertidal zones cannot be measured quantifiably as they vary with each coastal region. Future studies regarding the percent cover of algae species could focus more on the variation of percent cover across smaller distances that are easy to quantify, such as those used in the data collection for this study.

Real World Application

Analyzing the correlation between percent algae cover and the distance from the waterline can potentially show the overall health of an intertidal environment, since many algae species serve critical roles in the intertidal zones, especially if a study is done over a large range of distance within the intertidal zones. With the knowledge that different algae species is concentrated in different intertidal zones, the percent cover of any given algae can indicate the health of populations at higher trophic levels than algae, such as animals that graze on algae for food. If it is seen that the percent algae cover increases or decreases over time in its respective intertidal zone, then perhaps the populations of animals and other organisms that control algae populations are either increasing, in the case of a decrease in percent cover, or decreasing, in the case of an increase in percent cover.

Bibliography:

Foster, Michael S. January 1982. Factors Controlling the Intertidal Zonation of Iridaea Flaccida (Rhodophyta). J. Physiol. 18: 285-294.

Lubchenco, Jane. April 1980. Algal Zonation in the New England Rocky Intertidal Community: An Experimental Analysis. Ecology. 61.2: 333-334.

Metaxas, Anna, Robert E. Schilling. 1993. Community Structure and Organization of Tidepools. Marine Ecology Progress Series. 98: 187-198.

Tidal Zones. Tidal Zones | Oregon Tide Pools. [accessed 2018 Mar 26].

http://oregontidepools.org/tidalzones

Lobban, Christopher S., Paul J. Harrison, Mary Jo Duncan. 1985. The Physiology of Seaweeds.

Cambridge University Press. Cambridgeshire.

Fucus (Northern Rockweed). Fucus | MARINe. [accessed 2018, Mar 28]. https://www.eeb.ucsc.edu/pacificrockyintertidal/target/target-species-fucus.html

Welch EB, Jacoby JM, Horner RR, Seeley MR. 1988. Nuisance biomass levels of periphytic algae in streams. Hydrobiologia 157:161–168.

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