Blog 2: Sources of Scientific Information

The source of scientific information I chose is from the Thompson Rivers University Library. It is an academic paper that has extensive reference section, as well as in-text citations. It does not have three separate dates for when it was received, accepted and published, but I did make sure I was searching for peer-reviewed papers only. I chose this article because it is somewhat related to my study in a way that mallard ducks and artificial ponds/wetlands are involved, as well as habitat preferences for the mallard ducks

Krapu GL, Greenwood RJ, Dwyer CP, Kraft KM, Cowardin LM. Wetland Use, Settling Patterns, and Recruitment in Mallards. 1997 [accessed 2018 Jun 25];61(3):736. www.jstor.org/stable/3802180.

Virtual Sampling

Based on the summary that the tutorial gave, the technique that had the fastest estimated sampling time was the systematic method. However, it was only slightly faster than the other methods.

The percent error for the Eastern Hemlock was the lowest for the random sampling method, at 4.7%, and was also fairly low for systematic sampling method at 11.5%. The percent error for the Sweet Birch was lowest using the systematic sampling method, at 15.7%. When looking at more common species, the systematic sampling method was overall the most accurate. For the rare species, none of the sampling methods were very accurate for the White Pine. The lowest percent error was 42.9% from the systematic sampling method. For the Striped Maple the random sampling method had a reasonable percent error at 8.57%. The accuracy greatly changed based on species abundance; the percent errors were generally much lower for the common species than the rare species.

Overall the percent error was the lowest for the systematic sampling method, with an average percent error of 22.0%; the random sampling method was the next best with a percent error of 25.9%. The Haphazard method was the least accurate, with an average percent error of 53.4%. Personally I also found the systematic sampling method to be the fastest one to complete, as you selected plots based on a pattern and didn’t have to find plots one by one on the grid.

 

 

Blog 1- Observations

I have chose to compare two different sites on McArthur Island. The first site is the  9-hole golf course that is approximately 20acres. It closed last year because its lease was up with the city and since then the course has since been unmaintained, meaning the grass is dead, weeds are thriving, and wildlife is everywhere. There are 3 small ponds throughout the  rolling hills of the course. The most rural pond had a beaver lodge along the edge,  but in all 3 ponds there was a lot of debris from trees and some garbage, so it was murky and dirty. Trees are scattered, but are most dense along the edges of the main pond, and there are many different kinds of trees; spruce, willow, maple, birch, pine, chestnut and cottonwood trees. An unidentified weed thrives along the edge of the pond, but most of the grasses and shrubs along it are dead. Surrounding about 75% of the golf course is a slew, and the other quarter is edged by the Thompson River. Because of this and the swampy ponds there is multitudes of mosquitoes. There is a variety of small and large animals on the course such as the Western painted turtle (Chrysemys picta), Canadian geese and their young (Branta canadersis), marmots (Sciuridae), Red squirrels (Sciurus vulgaris), beavers (Castor), White-tailed deer (Odocoileus virginianus), Mallard ducks and very tiny ducklings (Anas platyrhynchos), and finally Bald eagles (Haliaeeitus leucocephalus). My first visit was on an overcast evening from 7-8pm and the temperature was about 20 degrees. Around 7:45 the wind really picked up and some thunder and lightning started off in the distance.

My second location is the slew/moat that surrounds McArthur Island where the water comes from the rising South Thompson River when its rises. My first visit was June 24th from 4:40-5:25pm , and it was very hot and humid. The temperature was 32 degrees and it was partly cloudy with some sunshine. The water definitely seems cleaner than the ponds, and it doesn’t smell at all, though there seems to be some garbage floating around. The slew is also seasonal because it comes and goes with the rise and decline of the river depth, but the water is still seasonably high. There is a bridge across the slew and on the north side of the bridge the bank along the residential side is mostly rocks with some shrubs and trees, while the island bank is tall grasses, as well as trees and large shrubs that overhang into the water. On the south side of the bridge both banks of the slew are larger shrubs and trees with some dead underbrush floating in the water. Some of the known bushes were blueberry and reship bushes along with some thorn bushes. There is a walkway about 15 feet away from the slew on the island and along it are some various small flowers. White-tailed deer are often seen hanging out and grazing along the edges of the slew on both sides. There was an abundance of mallard ducks hanging out under a large willow tree by the edge of the slew under the bridge, but there were also quite a few in the water. I also some a type of small fish jumping out of the water and in the shallows. Some crows and seagulls were also among the ducks, all hanging out in the same area.

  • Why is there such a difference in plant life? Taking into account freshness/cleanliness of water, shade vs sun, alkalinity of the pond versus the slew.
  • Why do the mallard ducks seem to prefer the slew rather than the ponds? Is it because of water cleanliness, openness of water, shade or sun exposure, temperature of water, food sources?

Here is a map of McArthur Island:

McArthurIslandPark map view

Below are images of McArther Island golf course:

Below are a few pictures of the slew/moat:

 

Blog Post 9

I think the difficulty in designing the study for this field research project is that I performed the intensive literature review occurs following the completion of the study. I found results in the literature that would have been useful in designing my study. For example, I found a study that showed that fern density decreased closer to a river. It would have therefore been interesting to compare fern density as the distance from the creek increased. The way the study was designed, I was unable to separate the effects of low canopy cover and the presence of water on the variables measured. It would have been good to have been able to identify additional sites with low canopy cover and no water, and high canopy cover and water and measure fern growth at these sites. Following the completion of this study, I have a far greater appreciation of collecting ecological data and the importance of randomization. It would have been much easier for me to identify an area with lots of ferns and just measure the ferns that looked big and healthy which would have biased results. Instead, I had to set up a method to randomly select ferns to measure, and as a result, there was far greater variation in the data collected, but I feel it represents an unbiased sampling of the population. Like the study of any science, bias is very difficult to avoid, especially when you are “looking” for a specific result, so the sampling techniques are so important in generating credible data.

Field Research Reflections (#9)

This project was a real challenge for me. I had a very limited window of time between when the ice and snow melted in Whitehorse and when I moved down south, in which I had to make observations, come up with an idea, and gather data. After I had moved I discovered that my sample size was probably too small, but by that time it was too late to gather more samples and I had to make due with what I had recorded.

I made numerous changes to almost every component of my study as I was conducting it. I revised the organism I intended to study, my study site, my sampling methods, my graph layouts, etc. With each revision there was something to be learned, ranging from the need for specificity in order to frame an experiment, to how to convey information most effectively through tables and graphs. I particularly enjoyed my time learning to use Excel, which seems like an extremely powerful program with many applications. I also enjoyed making observations and collecting samples in a beautiful setting. Engaging with living systems as such is a joy.

In future studies, I will take more time to research the species and ecologies relevant to my organism. This will enable me to determine how to go about collecting samples and how many samples to collect. This would also help ensure that I’ve not built a hypothesis or experimental methods on falsehoods.

The process of developing ecological theory now strikes me as a painstaking and labor intensive effort. The sheer volume of data necessary to track certain ecological trends, especially over timescales relevant to long-lived organisms, is daunting. Reading through sections of Clement’s book, I was struck by the life-long dedication required to acquire enough theoretical knowledge and personal observations to bring certain ideas to fruition. In attempting to come up with a hypothesis, I found myself hampered by how little I knew about my local ecosystem. I now appreciate that a prerequisite to insightful questions is often having a relationship with the living systems you’re observing. Conducting this study has been a very informative experience in ways that go well beyond the content of the project itself.

Blog post 8

Organizing my data into graphs was not too difficult and the data appeared to be presented most clearly in bar graph format. It may have been clearer to integrate all the data into one graph however due to the range of values and variations in units, the data was clearer to interpret when presented in two graphs.

The outcome was not as I expected, but in reflection I can understand the results. The number of ferns was greater in the shaded location compared to the sunny location which was what I predicted, however the frond size and number of fronds per crown was greater in the sunny location. I did not expect there to be a difference in frond size, or fronds per crown between sites.

One thing that I did notice that came up in my data, was that at the sunny site, the presence of ferns increased as the distance from the road increased. It was not clear if this is due to an increase in shade as the distance from the road increased, or due to the impact of the presence of the road. To further investigate this, it would be interesting to sample at locations close to the road, but with high canopy cover.

Tables and Graphs (#8)

I made several graphs in an attempt to both learn Excel and to convey multiple analyses of the data. In total I made ten usable graphs and six test graphs as learning exercises. My first two graphs assess the height and abundance of rose bushes in disturbed and undisturbed areas across gradients of light (graph 1) and moisture (graph 2). Both size and abundance appear to correlate with light, which was not surprising, but they also seem to correlate with moisture, which I wasn’t certain about as I suspected moisture and light might have an inverse relationship. My next eight graphs plot the abundance of pioneer or climax species alongside the abundance and size of rose bushes across gradients of light (graphs 3-6) and moisture (graphs 7-10) in disturbed areas (graphs 3, 5, 7, and 9) and undisturbed areas (graphs 4, 6, 8, and 10). In the disturbed area graphs, I was surprised to see that the rose bush height and abundance both tended towards an inverse correlation with abundances of pioneer species as well as climax species. With the undisturbed area graphs, the data suggests a slight correlation between rose bush abundance and both pioneer and climax species abundances, which would also be somewhat surprising, but the data is fairly noisy and I’m not sure how useful it is to read too much into it at this point.

Deciding on a graph format took some thought, along with trial and error, to convey the information in the most efficient and accessible way. For the eight graphs illustrating species relationships, I opted for multiple line graphs so that comparisons could be easily demonstrated. For the two graphs measuring height and abundance of rose bushes in disturbed and undisturbed areas across an environmental gradient, I opted for combination bar and line graphs in order to keep the height and abundance visually distinct but easily comparable. I am satisfied with the result, but I may experiment with other forms of graphs later.

*Update: the first two graphs were incorrect because of how I organised out my data tables in Excel. After correcting the errors, the graphs reveal that rose growth seems to increase with light exposure in disturbed areas and decrease with light exposure in undisturbed areas; the former follows my predictions while the latter deviates from them. Rose growth seems to increase with moisture in disturbed areas, and not much difference is seen in undisturbed areas. Consistent with my predictions, roses were generally found to be more abundant in disturbed areas.

Blog post 7

The main idea of my research is that the ecological environment will influence the growth and abundance of the sword fern growth. My hypothesis states a more shaded, sheltered environment would provide better growing conditions for this fern. This is based upon the understanding that ferns are semi-shade plants, and the research that shows that with increasing light intensity, fern survival is decreased. One of the sites chosen in my study is close to a walking path and a major road, so anthropogenic influences may also impact fern growth.

 

Key words: fern growth, canopy coverage, anthropogenic influence

 

Final Blog Post: Reflection

This was my first time designing and performing my own field experiment. I did experience some issues with implementation. First of all, I was unsure whether I would have enough sample units to collect.  However, I was able to find enough rose bushes to sample when I extended the study area.  The quadrat sampling method proved to be more difficult for measuring samples on bushes, because the surface is not flat like the ground.  I had to re-define the sample area in order to make each sample collection the same.

 

Engaging in the practice of ecology has definitely changed my perspective on the development of ecology theory.  I find myself noticing more patterns within the environment, and designing mini experiments in my head on how I would attempt to explain such patterns.  It has also opened my eyes to just how complicated, intertwined and sophisticated natural ecosystems are.

Theoretical Perspectives (#7)

Disturbance and succession are the main ideas which serve as the primary theoretical framework of my project. My hypotheses, which predicts that the size and abundance of rosa acicularis bushes will vary in relation to specific conditions and the presence or absence of specific plant species, is based on the idea that certain plant species can be attributed to specific seral stages, and that these stages are definable by measurable biotic characteristics. Interactions such as competition, mutualism, and facilitation also underpin the ideas guiding my observations about the plants found growing near prickly roses. Because this project is being conducted in the most populated area in the southern Yukon, the boreal forest ecosystem and anthropogenic influence are also useful elements in this project’s framework.

Keywords include: disturbance, succession, boreal forest, competition, mutualism, facilitation, pioneer plant, rosa acicularis, prickly rose.