Post 3: Observing Trees and Lichen It

I observed a series of trees along the 1100 block of Meares St. in Victoria, BC. From my observations, I have determined that there are three different species of lichen growing on the bark of the plum trees in this area. Their distributions on the bark of the trees seems consistent with patterns of direct sunlight and shade. Regions of lichen growth inhibition near the bottoms of the trunks are not consistent between trees and follow no discernible pattern of gradient along the street.

 

All of the plum trees seemed to have lost some of their leaves and I wonder if there is a relationship between the number or size of leaves that are being dropped and the position of the tree relative to a nearby construction site and busy roadway. Most of the trees along the street are of similar size and trunk diameter, suggesting they are of similar age. The trees at the west end of the street, near the construction and major roadway are also some of the most heavily-shaded, which may be a confounding variable to any comparisons with this location. The number of leaves dropped by trees in different areas appears fairly equal, but it is hard to say without making measurements if there is a relationship between dropped leaf size and tree.

If there is a difference in the size of dropped leaves, and assuming all trees are of a similar age, this might suggest that trees that are dropping smaller leaves are doing so prematurely, or their leaves are not achieving as large a size at maturity. Either way, the difference might be caused by the growing conditions of the tree (light, water, soil type) or perhaps something is affecting the trees directly. The area of the street near the construction site is noticeably dustier than other areas. We know that trees rely on transpiration through the stomata on their leaves to draw water up from their roots. Perhaps the dust is interfering with this process and leading the trees to drop leaves earlier than normal.

I hypothesize that the size of dropped leaves from trees near the construction site and busy roadway is smaller than the size of dropped leaves from trees at the eastern end of the street. I predict that trees near the construction site will drop leaves of a smaller mean size than trees away from the construction site.

A response variable for this experiment would be the mean length, in millimetres, of leaves (continuous). An explanatory variable would be the distance of the tree from which to leaves are dropped, in meters, to the construction site (continuous).

 

Blog Post 3

I went to Creekside park, Vancouver, BC on August 8, 2018 from 15:00 – 16:00.  It was a warm day with a temperature of 25 degrees Celsius. From my observations of plants, I witnessed a pattern among flowers that bees are attracted to. The bees frequented the tall yellow, pink and purple flowers, while scarcely went to the short white and whitish-pink flowers. These observations are taken from 3 sections of flowers in the park (south side, north side and central), in which the differences among flowers bees frequented are uniform. I plan on studying the characteristics of flowers that bees are drawn to the most and which traits of flowers disinterest bees. There could be many underlying processes that explain the pattern I have observed, including physical attributes of the flower such a shape, size, colour and scent, or environmental qualities such as temperature, season and time of day.

Based on my observations, the initial hypothesis is that bees are attracted to flowers that are brighter in colour. I predict that relative quantities of bees will increase around the red, yellow and purple flowers, and decrease among the white and whitish-pink flowers. A potential response variable is the abundance of bees (continuous) and a potential explanatory variable is the flower colouration (categorical).

Blog Post 3 for Katarina Duke

I intend to study the relationship between abiotic factors and algal growth in freshwater streams within the Miracle Valley. The study will be focused on the impact water depth and flow regime have on algal growth.

Five creek locations within the Miracle Valley were sampled on May 31, 2018 and June 1, 2018 for flow discharge rates and water depth. The results of the measurements are shown below in the table below.

Additional observations from the site visit include are as shown in pages from field book.

July 5 Field Notes Page 1 July 5 Field Notes Page 2 June 1 Field Notes June 19 Field Notes Page 1 June 19 Field Notes Page 2 May 15 Field Notes Page 1 May 15 Field Notes Page 2 May 15 Field Notes page 3 May 31 Field Notes

I hypothesize that a relationship exists between algal growth and flow regime and water depths. I predict that as water depths decrease, provided creeks are not intermittent (i.e. run dry depending on seasonality) algal growth will increase and turbulent waters will reduce algal growth.

The hypothesis will be tested using a SonoTek Flow Tracker 2 to measure flow discharge rates at same location each site visit.  Rebar will be used as a staff gauge to measure difference in water level before and after discharge measurements and to compare with measurements taken on other days. A scale of none-to-moderate-to significant will be used to estimate algal growth.

The experiment will be conducted using logistic regression and the hypothesis is that slower flow regimes and shallow water depths increase algal growth.

In this experiment the response variable is algal growth that is categorical (using a scale of none, minimal, moderate, significant, very significant). The explanatory variables are continuous and include the flow rate and water depth.

Blog Post 3: Ongoing Field Observations

The organism(s) I plan to study for my field research project include waterfowl and their allied species. During my subsequent field visits, I have observed different species of waterfowl (e.g., wood duck, mallard) utilizing the smaller waterways of the park where emergent vegetation is present.  Underlying processes that may cause this pattern include the use of the emergent vegetation by waterfowl for foraging purposes and for protection from predators.

Although there are multiple environmental gradients within the park, I have only observed waterfowl within specific aquatic habitats, inclusive of the drainage ditches and one pond/marsh area. This could be due to habitat preferences of individual species, life stage, foraging potential and presence of predators. Waterfowl may occur within the old field habitat adjacent to the drainage ditches and marsh area, however, abundance and height of grasses within the park at this time of year greatly reduce visibility. As such, I will only be using the visible waterways as potential study areas.

Based on these observations, my initial hypothesis is that waterfowl prefer to use aquatic habitats where emergent vegetation cover is present.  I predict that relative abundance of waterfowl will increase where emergent vegetation is present and decrease in areas where emergent vegetation is absent. A potential explanatory variable is percent cover of emergent vegetation (continuous). A potential response variable is waterfowl abundance (categorical).

Field Notes Blog Post 3

Blog Post 3: Ongoing Field Observations

From observing plant species along the forested Alfred Howe Greenway trail, Port Moody, BC, there was an evident yet gradual shift in general species type and abundance from the south end of the trail to the north end of the trail. More specifically, the most noticeable change occurred in the abundance and characteristics of pine trees, with an evident decline in number and size from the south end of the trail (elevation: 118 m), to the middle of the trail (elevation: 85 m), and all the way down to the north end of the trail (elevation: 50 m).

My field notes consist of the observed distribution, abundance, and character of pine trees at three points along (primarily) an elevation gradient. An urbanisation gradient could also be noted, with the north end of the trail being near Barnet Highway, in addition to observed deforestation and construction near the north end of the trail.

Please Note: My field observations also included plant pathologies noted along the same three points of the trail. Although more plant pathology was notably observed at the end of the trail, pine tree abundance will most likely form the basis of my study, although the notes taken on observed plant pathologies can illustrate the diversity and variation of plants found along the trail.

A copy of the second field journal entry is shown below:

 

Potential underlying processes that may have caused this particular pine tree distribution along the trail could include:

  • Temperature difference (as a result of varying elevation).
  • Anthropogenic impact (potential direct, selective, interference that could have disrupted natural species distribution).
  • Invasive species/competition (leading to a fewer quantity and smaller size of pine trees at the north point of the trail).
  • Soil composition (with academic papers suggesting that pine trees prefer more acidic soils (Kruckeberg, 1969)).

 

Hypothesis: Relatively colder temperature increases pine tree abundance.

Prediction: The point of the trail with the coldest average temperature will support the greatest abundance of pine trees.

Response Variable: Pine tree abundance (categorical).

Explanatory Variable: Temperature (continuous).

 

Reference: Kruckeberg, A., R. 1969. Soil diversity and the distribution of plants, with examples from western North America. Madrono 20. https://www.jstor.org/stable/41423658

Blog Post 3: Ongoing Field Observations

I have frequently been observing my chosen field of study (my backyard in Parksville, BC) since the last time I wrote a blog post which was June 15th.  Today, July 4, 2018 at 1:45 PM, I have decided to once again return to the chosen site and this time journal my findings.

The temperature today is 22 degrees Celsius with a warm breeze and overcast sky. I first sat inside looking out the back window for 30 minutes prior to coming outside to see what forms of wildlife I would observe. I saw multiple birds fly by, and a couple of red squires scurry from tree to tree. I then went and sat outside on the patio closer to the forest and played music to cause a small and harmless disturbance; making my presence known.

I still saw the birds pass by but they no longer stopped on the grass, instead they would stop closer into the trees and forest. I no longer saw any more squirrels  for the remained of the time.

I then decided to step into the forest and go through a path that looped around the property. The deeper into the forest I got the more activity or indication of animal activity I noticed. There were multiple robins and other unidentified birds resting in the trees. I came across a tree deep in the forest that indicates there is probably a pileated woodpecker in the area as well. A couple of meters further I found what appeared to be an eagle feather, and lastly I  noticed an old birds nest that was abandoned in a taller cedar shrub. I didn’t see any rabbits on my walk around the property, however, I did come across some pellet feces, suggesting there was– at some point– rabbit in the area as well.

So, from the observations I’m making it seems to me that the further I venture into the forest the more wildlife there is. With all this being said I am leaning towards pursuing my initial question of: How does human activity close to the forest affect the activity of animals in the surrounding area? I have also made note that the wildlife activity is more frequent when the weather is warmer and either early in the day and later at night when human activity is minimal.

My hypothesis: Closer to human activity, the less animal activity will occur.

Prediction: The deeper I explore into the forest and the further away from the house I get, the more wildlife I will observe.

One potential response variable could be presence/absence of birds, squirrels, deer and rabbits present with each day. This would be considered a categorical variable.

A couple potential explanatory variable could be the human activity around the area, and/or the temperature of the day. This would be considered a continuous variable.

 

The suspected eagle feather.

 

The suspected woodpecker activity.

 

The old abandon birds nest.

Blog Post 3: Ongoing Field Observations

The subject of my studies is sagebrush, also known as Artemisia tridentata. I visited the Valleyview Nature Park on June 28th between 1:00 and 1:40.  On this day I only visited the east side of the park. The weather was partly sunny and mostly cloudy. The gradients I have chosen to observe the distribution of sagebrush are at the top of a hill, the slope of a hill and a valley.

The first two photos are of the side of a hill. It was noted that there are some sagebrush growing out of the side of the rock. There seems to be no clear pattern of sagebrush distribution on the hillside. The next two photos were at the top of a hill. In the third photo (facing North), there is a large number of sagebrush per unit area. The fourth photo was taken in the same position as the third, but this time facing South-West. It was noted that the amount of sagebrush in the area drastically reduces compared to the third photo. Finally, the fifth photo was taken facing North-East approximately 30 metres east of the third and fourth photos. There is a greater amount of sagebrush at the bottom of the valley versus on the hillside.

A few general observations I noted are:

-the soil in the valleys is slightly darker than the soil on the hill tops suggesting a higher water content.

-there are more trees and less sagebrush on the south side versus the north side of the park. This is not because of the amount of exposure to the sun; maybe there is a bit more water because the north side is beside the hillside whereas the south side is flat? Perhaps water travels down the hillside and therefore the north side of the park gets slightly more water?

-there are bundles of grass everywhere in the park (Bluebunch wheatgrass)

-there are areas that have a moderate/high amount of individuals and there are areas that have no individuals. It was very rare to see one individual on its own without other individuals close by. Perhaps competitive exclusion (one species dominates and removes the other species)?

 

I hypothesize that Sagebrush (Artemisia tridentate) will be have similar abundancies on hill tops versus valleys and Bluebunch wheatgrass (Psuedoroegneria spicate) will have similar abundancies on hill tops versus valleys in Valleyview Nature Park. The response variable is the number of sagebrush and bluebunch in a 4 meter by 4 meter quadrant. The predictor variables are elevation and soil moisture content. The response variable is continuous and the predictor variable is categorical, suggesting that I will have an ANOVA design for my experiment.

Blog Post Three: On-going Field Observations

Hello Class & Professor Elliot,

I continued my field observations at my chosen site (Coldham Regional Park) on June 23, 2018. I noticed that the wildflowers (Tiger lily) that I had originally observed had since finished blooming and their stems were nearly gone. One of my main observations for this trip was that the small meadow area on the western side of the creek had much less large woody trees than the eastern side of the creek. I have decided to switch my study focus and plan to study the abundance of large woody trees across an environmental gradient for my field research project.

Noting that the creek is within a shallow ravine, I decided to take three observations along the environmental gradient on the eastern side of the creek:

  1. Observation 1: Approx. 30 metres from the creek
    – At the base of a small hill, rural private lot to the east
    -Noticed a few common riparian plants (e.g. soapberry, bebbs willow)
    -The soil was generally dry
  2. Observation 2: Approx 15 metres from the creek:
    -A few more larger trees, relatively flat terrain
    -Noticed several spruce trees that were unhealthy / standing dead
    -Mixed grasses and rocky soils
    -Disturbance areas of recreational fire pits were present (burnt logs)
  1. Observation 3: Approx 3-5 metres from the creek:
    -Top of bank from creek
    -Very steep slope leading to the creek
    -Larger woody trees present, holding soil and slope together
    -Larger bushes more abundant
    -Soil seemed dry but had more ground cover / rocks

It seems that the patterns here are that the flat meadow area had less forest canopy cover, less large woody trees and more sunlight / shrubs. The processes or environmental factors I think that may be causing this is amount of sunlight and landscape type. It appears that there are greater numbers of larger woody trees on the eastern side of the creek (western facing mountain), this may be due to aspect.

Hypothesis:If the landscape is steep and western facing, then large woody vegetation will be present.

Prediction: Large woody vegetation will be present in western facing slopes.

Response Variable:Large woody vegetation abundance

Explanatory (predictor) Variable:Landscape (gradient) and aspect

Based on my hypothesis and prediction, the response and explanatory variables are both continuous (e.g. time and temperature/sunlight). I have included pages from my field journal as supplementary material to this blog post.

On-going Field Observations at Site

Blog 3: Ongoing Field Observations

I returned this morning, June 26, to McArther Island to observe the main pond in the golf course and the moat surround in the island. The three gradients I have chosen are the main pond because it is the largest of the three on the course, a section of the moat right by the bridge, and another section of the moat that is at the other end the the island near the boat launch closer to the mouth of the river. I have decided to specifically study the mallard duck (Anas platyrhynchos) and their habitat preferences. I would like to know why I have observed so many ducks around the bridge in the moat rather than in the quieter area of the pond or nearer to the opening of the river into the moat. I hypothesize that the mallard duck (Anas platyrhynchos) prefer the bridge area of the moat. I predict this is because the water is of better quality, there is a greater food source and also because there is more shade during the day due to overhanging trees and shrubs. My predictor variables are: water alkalinity, pH, calcium and chlorine, water temperature, types of food source, shade vs sun, and these variables are categorical. The response variable is the number of mallard ducks present which is a continuous variable. This informations shows me that my experiment will be an ANOVA multi factor design.

Here are my three different gradients:

1.Golf course main pond

2. Moat by bridge

3. Moat by river

Post 3: Ongoing Field Observations

I have continued to view the three locations for a few days. After observation of the park and the species that reside there throughout the day, I realized I could not make a decision on which species I wanted to study. I decided to look at all the species of insects in the sanctuary, and focus on the differences in the number and species composition of insects between the three locations, which have varying amounts of water sources. I have noticed the sanctuary in particular, which is situated around water, seems to have high amounts of insects constantly flying and crawling when compared to the two other areas, which do not have a large source of water. With this observation as a basis, I hypothesize that a large, open source of water either attracts increased amounts of insects or acts as an optimal breeding ground for increased amounts of insects, when in comparison to areas that do not have as prominent of a water source. With this in mind, I predict that the bird sanctuary, having lots of open water, will contain high amounts of insect species and abundance, and areas that do not have as much of a water source, being the meadow and even more so, the residential complex will have decreasing insect species abundance and number of individuals. A potential response variable is the species richness in the area, being based upon the predictor variable, the location of the area being tested and possibly, the amount of water being made available to the insects. In this case, the data will be considered continuous, and categorical, because the species abundance can be measured on a numerical scale, but the richness or types of species in the area cannot, so is a categorical data set.