Geography HL's Sample Internal Assessment

Geography HL's Sample Internal Assessment

Does the biodiversity of the sand dunes at Holkham follow the expected pattern?

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Figure 16 -

Figure 17 - Data Table

Figure 3 - (Garrett Nagle, 2017)

Conclusion 

The data gathered indicates that the hypothesis is valid. With increasing distance from the HWM, Holkham's biodiversity rises until the late climax stage, when it starts to decline. The biodiversity improves from 0 at site 2 to 0.815 at site 19, then declines to 0.501 at site 21, as shown in Fig. 17.

 

The enhanced biodiversity was discovered to be caused by the form of the dunes, which create areas of slack. These locations are better protected, creating favourable conditions for various species. Figures 15 and 16 at sites 5-7 depict this. Of the three sites, Site 6 has the least biodiversity (0.122). Sites 5 and 7 have biodiversity indices of 0.485 and 0.514, as opposed to those of those two sites. Site 6 is much more exposed, as seen in Fig. 15, thus only specialized plants, such as marram grass, may live there.

 

 

Up to the late climax stage, the introduction thought that declining pH was a cause of growing biodiversity. It was found that pH did decrease over the transect from 7.4 at site 1 to 5.0 at site 21. Figures 15 and 18 show this, and Spearmen's correlation supports it. As may be seen in fig.21, no association with biodiversity was discovered. Therefore, it is necessary to disprove this theory.

 

 

Since pH was probably not a significant influence on the plants at Holkham, no correlation was likely discovered. The pH was not severe enough to hinder the development of the vegetation. In determining the growth of the flora and hence the biodiversity, other elements like shelter and soil nutrition/moisture were probably more important.

 

Figure 19 - Divided Bar Graph And Profile Of Sand Dune With PH Data

Introduction

Question: Does the biodiversity of the sand dunes at Holkham follow the expected pattern?

Hypothesis: The sand dunes at Holkham follow the expected pattern in fig.2. This is based on the premise that forested area can be seen on fig.1, at the end of the dune. Option B: Oceans and Coastal Margins Sub-Section 2: Interactions between oceans and coastal places linked to sand dune development

Holkham: Located on the North Norfolk coast, the Holkham National Nature Reserve is England's largest national nature reserve, making it a prime location for physical geography data collection. Fig.1 shows an area of the reserve, from which data was collected

 

Analysis

Methods 

Prior to data collection, a pilot study was conducted to decide on the appropriate equipment, practise data collecting, and test several clinometers, quadrants, and pH kits.

 

On March 12, 2019, a variety of data were gathered using a group sampling method. The information in fig.1 was gathered in Holkham on the North Norfolk coast.

 

 

Sadly, there were bad weather conditions, with plenty of rain and strong winds. It was decided wind speed data would not be collected as inconsistent winds would have led to unreliable results.

 

 

Data were gathered via stratified systematic sampling along a transect. Typically, data were gathered every 10 m, with the exception of the gradient, which was captured at a slope break. However, the distance was increased to 20 m if comparable results were acquired at three sites in a row. Since there were no paths for collecting the data, stratified sampling was employed. Changes could be noticed throughout the dune system thanks to the data collection method and sampling size.

 

 

A 250 m tape measure was used to measure the transect, however, only 50 m was surveyed at a time to improve accuracy. The tape was typically extended in more protected regions after being cut to 25 m owing to the weather.

 

 

There would be two ways of gathering pH data. A pH kit and probe. The probe needed to remain buried for a considerable amount of time in order to collect reliable data, according to the pilot study. Therefore, just the pH kit was utilized that day. The techniques table, fig.4, lists the precautions that must be taken while using this method to assure accuracy.

 

 

Despite data collection, the recording sheet was no longer usable because of the circumstances. As a result, data from a prior year was used; this group data is displayed in fig. 15.

 

Figure 18 - Diversity Index Vs Site Of Data Collection

Table of content

Spearson’s Rank Corrolation Coefficient – Distance & pH

Distance along transect(m)Rank 1 Soil Ph Rank 2 D

D2

017.418.5-17.5306.25
1027.521-19361
2037.418.5-15.5240.25
3047.418.5-14.5210.25
4057.315-10100
5067.315-981
6077.210-39
6587.315-749
9097.210-11
120107.21000
140116.85636
160127.21024
170137.21039
190147.210416
210155.1213169
220167.210636
230177.1611121
240186.6414196
250195.9316259
260207.418.51.52.25
275215.0120400

Figure 23 - Spearmans Rank Corrolation Coefficent

Figure 21 - Changing PH Along The Transect

How to calculate biodiversity

A diversity index can be used to measure diversity. Values for the Simpson-Yule diversity index range from 0 to 1.

 

0 = Monoculture

 

 

1 = High biodiversity

 

 

The index is calculated using the equation:

 

 

\(Diversity\ =\ 1\ -\sum{(\frac{Pi}{Ni}})^2\)

 

 

Pi = Species percentage cover

 

 

Ni = Total percentage cover (excluding bare ground)

 

 

Site: 13

 

Figure 2 - Ainsdale Model (Richardson, 1990)

Figure 1 - Map Of Holkham

MethodJustificationProblemsSolutions
Percentage Vegetation Cover Fig 5, 6 & 7Area each species is covering high biodiversity=many species covering smaller areas will recordedSubjectiveMultiple members complete method, mean calculated
Vegetation Abundance Fig 8Number of species high biodiversity=many species recordedPlant species may be hidden under othersCollect data for taller flora first, then check for other species
Soil pH Fig 9, 10 & 11Affects plant growth Extreme=only specialised plants will grow, so low biodiversity.Subjective Chart measures in 0.5, low degree of accuracyMultiple members check Could use different chart, but data sufficient for investigation
Gradient Fig 12, 13, 14 & 15Sheltered areas=growth of less specialised species, increasing biodiversityClinometer on division Aiming accuratelyCheck position of clinometer with another group member Multiple readings, calculate mean

Figure 4 - Table on Methods Table

Figure 22 - Diversity Index Vs PH

The variety of species found within an environment is measured by biodiversity. This is typically quantified in terms of plant species in an ecosystem of sand dunes. Biodiversity can be used to assess an area's status and gauge how favourable the circumstances are at a given time. The biodiversity of a sand dune ecosystem, in theory, rises with distance inland but falls in the late climax region. This is in line with fig. 2.

The biodiversity will increase with distance from the HWM, as conditions near the HWM are harsh, allowing a few pioneer species to survive. These species have halophytic adaptations, adaptations to reduce water loss and increase water absorption, e.g. marram grass. These species provide shelter from the conditions and release nutrients into the soil through decomposition, thus changing the conditions. They also stabilize the ground, promoting the development of soil, which retains moisture.

These factors make the environment more habitable for other species, increasing biodiversity. Away from the shoreline, the dunes increase in height, producing areas of slack (see fig.3). These areas are sheltered and are closer to freshwater stores, encouraging plant growth, and thus increasing biodiversity. Fig.3 shows this via the marked water table. Soil pH also changes, near the HWM the pH is very alkaline meaning few species can grow. Plant decomposition neutralizes the soil, meaning more species can grow, increasing biodiversity. However, biodiversity decreases in the late climax stage (see fig.2) as the area is likely to be dominated by fewer species. In the lowlands of the UK, these are expected to be oak or ash, which block sunlight to the forest floor, preventing the growth of smaller plants

Figure 5 - Divided Quadrat

Figure 6 - Percentage Vegetation Cover (College, N.D.)

Figure 7 - Identification key

Figure 8 - Vegetation Abundance

Evaluation

Figure 24 - Improved PH key (My Aquarium Club., 2015)