The diversity of the vegetation can be seen on the kite diagram as it shows how as one moves further inland, from zone to zone, more plants are able to grow as there is less competition and more favourable conditions such as less wind and slat from the sea. Quadrats were used to estimate the percentage vegetation cover and diversity of plant species, and we put a quadrat down every 10 meters to get accurate results. Soil Ph tests illustrate how the soil is a lot less alkaline in these dunes, where there is more humus, compared to soil at sea where sea shells make the soil alkaline, and the salty and harsh conditions make it difficult for plants to survive hence why there is such a large percentage of bare earth in the kite diagram close to high tide. These are the results of the ph soil testing: (distances refer to the number of metres from high tide inland)
Particle size, water, air, humus, nutrients and ph all affect the soil in sand dunes. The particle size got bigger towards the climax as there were more roots and humus – this is why the soil has larger, more distinctive bits as we moved inland. The air contained less salt towards the climax which meant better growing conditions, this is why the amount of vegetation increased. However, the golf course built at Coatham sands prevents climax vegetation growth as it is situated on the most fertile soil in the succession. The pesticides and fertilisers they use on the green can damage the plants when washed into the soil. Added water from the golf course causes a level above the natural average. There was more humus in the soil towards the climax as more plants grew, and water retention increased so plants decompose. This added to the nutrients in the soil.
This pictorial diagram shows the succession at Coatham sands:
The succession also changes due to human impacts which affect the way the dunes look. Walkers erode the sand on the dunes and damage the vegetation. They can also cause blowouts as the plant roots cannot hold the sand together. Quadrat sampling was rejected if there were a blowouts as a major feature may be missed and so would not provide suitable data for spearman’s rank. Therefore, the kind of sampling we decided on was systematic but with modification and so our data is not entirely reliable. Random sampling has the disadvantage of taking longer to carry out and has no great advantage other our method. The pipeline also caused parts of the natural sand dunes to be destroyed and use to environmental complaints regeneration was demanded. However, there was not as much diversity of species as it doesn’t provide a natural balance. The steelworks nearby also cause noise and visual pollution which not only affect the native animals but also the vegetation which means that the succession cannot reach its climax fully.
The data we collected gave me the opportunity to test between two variables using Spearman Rank. The table below shows how I worked out that there was a strong negative correlation between number of species, and percentage of bare earth. From Spearman Rank, I can conclude that as one variable goes up, e.g. Percentage of bare earth, the other goes down, eg, number of species and visa versa. This was as I predicted because the conditions of the bare earth were not suitable for a broad and diverse growth of plants. Also the less bare earth means the better the conditions are and further inland you go as the diversity of plants species is greater.
1162.25
Rs = 1 - 6 x d
n - n
Rs = 1 - 6 x 1162.25
4096 – 16
- - 6973.5
4080
1 - 1.709
= -0.71 9 (strong negative correlation)
Infiltration rates also illustrated how the sand dune succession changes as they decreased towards the climax zone. This is due to the wind speed becoming slower away from the sea and so the soil got more complex. It got less sand like and more humus and particles as well as vegetation was present, which did not allow the water to infiltrate through as easily and quickly as the sand did as pebbles an such like acted as obstructions and water cannot percolate through them but has to go round them, meaning it takes longer for the water to infiltrate. The graph shows this as it shows how it took 270 seconds for the water to infiltrate at 100m from high tide and only around 105 seconds at high tide. I can conclude from this that the further in; and you go, the more complex the soil gets and therefore the slower the infiltration rate.
Conclusion
Broadly speaking the results matched general expectations of a psammosere in that changes across the dunes included decrease in infiltration rates, increase in number and diversity of species, decline in bare earth soil and increased humus content and ph in soil. In extreme conditions (close to sea), I can conclude that the diversity of organism was low which results in an unstable ecosystem in which populations are usually dominated by abiotic factors. In less hostile environments- further from sea, the diversity increases as the populations are dominated by biotic factors. I did not include soil moisture levels or wind speed results because the moisture meter did not work correctly and we did not take wind speed results so I cannot conclude on these two variables.
Evaluation
Although the general pattern of results support my hypothesis, there are several limitations to the results, as well as improvements. The results such as the diversity of species using quadrats are not as accurate as they could have been but show the general trend. This is because we didn’t spend ages counting up every different species or looking closely to see if any little plants were growing very low on the ground. We also went to Yorkshire in September and so the season must be accounted for – spring and summer are the best times for surveying as the dune species are best identified in flower. However because we had an extremely dry summer, we were able to identify a lot of the species.
The infiltration rates were measured using homemade equipment which is obviously not going to be reliable and accurate as if we had used expensive equipment where the water all enters the can at exactly the same time, allowing no water to start sinking through before the timer is started. Also, human reaction time meant that the timing on the infiltration rates differed between the points where we tested the soil. In September, the holiday season has just ended and so the dunes were most probably affected by humans which altered the transect. Paths cut by humans and animals often expose areas of sand within the system and blowouts may form. I expect plants were kicked over and the sand dunes eroded, which means my kite diagram and Spearman’s Rank are not entirely reliable.
Although there are several management issues such as erosion, development and building on the golf course and pipeline, human impact and beach cleaning which have affected the natural ecosystem of the succession, I feel that the results which we have managed to collect do enable us to draw general conclusions from because the general trend has been the same in each groups results. If I was to improve on the investigation another time, I feel it would be valid to investigate what happened to the air temperature, wind speed and air humidity with increased distance from the sea because I think that these factors would enable me to draw an even more valid conclusions because I predict that these factors all contribute to the sand dune succession and how it changes from high tide inland. I would also compare the result of the rehab dunes to the natural dunes, as well as look at each groups results and see how and why they differ.