Blog Post 8: Tables and Graphs

Soil samples and percent of frond yellowing on  Polystichum munitum and Pteridium aquilinum from randomly selected samples were collected within the surrounding area of the Alfred Howe Greenway trail. Soil samples were later measured for their pH, nitrogen, phosphorous, and potash content using the Rapitest 1601 Soil Test Kit. The following graph summarises collected field data for topsoil samples, illustrating soil type (sandy, loam, clay) and nitrogen content in relation to where the sample was collected along the length of the trail:

 

 

Some difficulties were encountered when aggregating data at some soil sample locations, with (1) underground root systems preventing the ability to collect the soil sample from the required depth (4”) or (2) inability to reach the location, such as the case in the presence of very dense vegetation or a steep change in slope elevation. In the case of these difficulties, the nearest accessible soil sample was collected.

No major difficulties were encountered when performing soil tests, however, due to the waiting periods required in waiting for the soil to settle (30 min. to 24 hours) and for colour to develop when conducting the sample test (10 min. for nitrogen, phosphorus, and potash) (Photo 1), soil testing was conducted on several separate days. However, all soil tests were conducted during the day, ensuring sufficient daylight was available for measuring each sample.

 

Photo 1: (Left) clear solution  of soil sample L1S2 after soil settling (60 minutes). (Right) Nitrogen colour determination (N3 = sufficient) of soil sample L1S2 at 10 minute mark.

 

When the final results for the nitrogen tests were summarised (Fig. 1), it was surprising to observe that nitrogen levels were lower on average in the remediated landfill area in contrast to the historically forested area, since it was predicted that any landfill waste still buried in the ground could induce biogas release, primarily in the form of methane and carbon dioxide, significantly altering the soil quality from that of a natural habitat, allowing nitrifying bacteria to flourish, leading to higher nitrogen levels (Isaka et. al., 2007).

A landfill cover is reported to be encompassing at least a portion of the remediated landfill, with its aboveground edge observed in a previous blog post entry (Blog Post 6, Photo 2). Perhaps the landfill cover is preventing soil contaminated with landfill content from permeating to the collected topsoil, leading to the recorded low levels of nitrogen (Kightley et. al., 1995) . An alternative explanation could be that denitrification is actually occurring at greater rates in the landfill area, resulting in lower nitrogen levels (Burton and Watson-Craik, 1998).

 

Post 9: Reflections on Plum Leaves

Throughout the final stages of this project, I have come to realize how valuable pilot studies could be. I have found that it wasn’t until well after the research project was underway that I really delved deeply into the existing literature. Doing so brought to light a lot of information that would have changed how I approached this project. I realized that my hypothesis included two “leaps” or assumptions that were being tested: Pollution reduces transpiration in Prunus leaves; If transpiration is reduced in Prunus leaves, the leaves will be prematurely abscised. If I could go back, I would have reduced the number of steps that my hypothesis was taking here and aimed for something simpler.

One of the more profound realizations to come from this project is the realization of complex processes occurring in plain sight, and most of the time going unappreciated. Since beginning my project, I have walked by the study site several times for unrelated reasons and reflected on all of the activity going on in this seemingly ordinary and plain street. I struggled at the beginning to find a topic because there were so few signs of those typical “ecological” environments. However, I realize that I am simply conditioned to look for ecological relationships in environments that meet my definition of “natural.” Seeing those relationships in an urban environment was a big challenge in this project but has been an enlightening experience.

Blog 2 Sources of Scientific Information

My Source is an Original Article published in the Journal of Biogeography in 2012.  The link to this article is: Guggisberg_et_al-2012-Journal_of_Biogeography

This was written by an expert in their field.  It includes in-text citations and a bibliography.

The paper had four referees for it.

IT also contains a section with results.

Therefore, based on the criteria for evaluating scientific information this paper is an academic, peer-reviewed research material.

 

Blog Post 9: Field Research & Reflections

This was my first time designing and carrying out a field research project / natural experiment to this extent. Reflecting on the process, I think I would have chosen a different site, something with a bit more variability and ease of access. I am genuinely interested in riparian ecosystem studies so this was a great experience to make observations and test hypotheses on a local stream.

The most difficult part about implementing my field research was creating a study design that I felt accurately captured the study area. It was difficult because this project scope was meant to be simple, and I had limited time, but I would have really liked to expand the study area to capture more of the riparian corridor, or even sample further up the stream where less human disturbance (e.g. recreation) was present.

Getting out there and engaging in the practice of ecology has been really rewarding. It was truly difficult to carry out a natural experiment based on observation alone. Reading the discussion papers, the textbook, and the literature for my final project really opened my eyes to the breadth of knowledge and hard work that is put into studying the natural environment. My experience in BIOL 3021 was equal parts challenging and rewarding.

Thank-you Professor Elliot for a great course!

Final Reflections

My research project on bees and their preference towards different flower colours was both fun and difficult at times. I enjoyed taking notes of my observations and drawing in my field journal, as well as getting to know the names of different flower species.

I did not have any significant problems with implementing my research design. However, I did find it quite challenging to get through the research articles for the annotated bibliography section of the research project. This is due to the fact that I have never taken an ecology course before this one, and the last biology course I took was 3 years ago.  It was quite time consuming to get through the ecology jargon since my background is in health sciences, which revolves around literature on people and diseases.

This research project has helped me become more observant of my surroundings when I am walking outdoors. I notice the interactions between plants and society a little more. Lastly, I have a greater appreciation for ecology and the significant role bees play in the ecosystem.

Blog Post 7: Theoretical Perspective

I have spent some time considering the theoretical basis of my research project and I have also thought about my theoretical perspective. For my final project, I am hoping to determine whether or not the amount of shelter provided has any correlation to the amounts of birds within that area. More specifically, I have predicted that I would find the greatest number of birds using an area that had the most shelter compared to areas with little shelter or areas with intermediate amounts of shelter. The ecological processes that my hypothesis focuses on will be urbanization, deforestation and adaptation. Since both urbanization and deforestation are becoming a big process of the world we live in, I’m curious to see if in fact the lack of shelter affects the amounts of birds I will see. From the research I have been doing and articles I have been reading, it has become apparent to me that my prediction is in fact highly likely. Lots of species rely on the forest habitats for protection and shelter so, with these resources becoming limited the species are faced with the tough challenge of adapting and surviving. Some can adapt and other are not able to so, they either relocate or die out within that specific area.

Some keywords: Deforestation, Species richness, Habitat conversion.

 

Tables & Graphs

I created a bar graph for small assignment 5 that represented my data on the number of bees that frequented different flower species. I choose to use a a bar graph because figures tend to present data more clearly. I did not have any problems with aggregating or summarizing my information on the graph. The only difficulty I encountered with the bar graph was formatting it online. The description ‘number of bees’ for the y axis was written vertically and I could not get it it to be horizontal. The results from the graph was as expected and supported my hypothesis, the number of bees increase around colourful flowers and decrease around white flowers.

Blog 8: Box Plot of Leaf Length

I knew after designing the experiment that I would be creating a box plot due to the comparison between a continuous and a categorical variable. While a strip plot would also have been acceptable, the box plot easily presents several other pieces of information that are harder to incorporate in a strip plot: upper and lower quartiles, minimum, and maximum values in addition to the mean value. Therefore not only does a box plot show you the mean values and the range of data, but it also allows one to visually appreciate the variance in within each data group. As discussed in post 6, I revised my experimental design slightly to aggregate samples from nearby trees into unified sampling areas. The reason for the revision is that there was no way to guarantee the leaves that had fallen beneath a given tree were grown on that particular plant. I opted therefore to group sampled leaves into a “habitat areas” that included the sampling area and a control area.

 

Figure 1. The effects of airborne particulate pollution on premature leaf abscission were estimated based on the leaf length of dropped leaves of Prunus spp. in two areas: near a roadway and construction site with active digging (Particulate-Exposed) and approximately 70 meters East of this location (Control). Mean leaf length between Particulate-Exposed (=50.5 mm) and Control (=54.8mm) are shown in bold horizontal lines. Upper and lower bounds of the box represent the 75th and 25th quartile values, respectively. Upper and lower “whiskers” represent maximum and minimum data points, respectively. (Figure created in R Studio V1.1.414)

Blog 7: Theoretical Basis of Leaf Abscission Research

My research project is based on the well-documented process of leaf abscission (dropping of leaves) in deciduous trees. This is a normal seasonal process as photosynthesizing pigments breakdown (which causes colour change in the leaves) or one that can arise when an angiosperm is experiencing stressful conditions such as drought or disease. One of the roles of leaves is to bear microscopic openings (stomata) that allow the exchange of gases and release of water vapour through the process of transpiration. This process allows waste oxygen produced during photosynthesis to be released and the evaporation of liquid water to create a difference in water pressure between the leaves and roots, which causes water to flow up xylem tissues of the trunk and to the disparate parts of the plant. My hypothesis supposes that particulate matter in the air from nearby construction excavations and a roadway might interfere with the role of stomata and that the tree might preferentially drop these “under-performing” leaves, as it does when photosynthetic pigments begin to lose their function.

Some keywords that might accompany this paper would be: Prunus, premature leaf abscission, particulate pollution, transpiration.

Post 6: Data Collection

Since originally making my hypothesis and making my data collections, I have decided to revise my sampling method slightly: Since I am measuring fallen leaves, there is no way to guarantee the leaves beneath a given tree were grown on that particular plant. Giving more observation to the distribution of leaves on the ground, I shouldn’t be able to make the claim of tree origin with any confidence, so I am going to instead group sampled leaves to a “habitat area.” The aggregation of the data means that I would not be able to look for associations in the data between leaf length and individual tree. However, the integrity of the data is preserved for the purpose of comparing variance within and between and groups (ANOVA), except that there is an increased risk of a Type II error. (Which is better than a Type I error, in my opinion).

I have thus sampled trees within each of two different habitat areas (one near the construction site and roadway; the other farther away) on three separate occasions. In total, 80 leaf length samples were taken from each habitat area over the data collection period.