Post #6: Data Collection

 

Through extensive research of information online and gardening books from my parents I found out the exact amount of water each tree should be receiving and what counts as “excessive” and “the right amount”. In my study, the plum tree is the moderately watered fruit tree, in which it gets 8 liters of water per week. Ideally, a plum tree should be watered twice a week, which means each watering day the tree gets 4 liters.

The pear tree on the other hand gets less water, if it were the moderately watered tree. The right amount of water is 4 liters per week and watering twice a week, so 2 liters of water per watering. In this study, the pear tree is the “excessively” watered tree so I am watering it the same amount as the pear tree, which is 4 liters twice a week.

The cherry tree does not receive any watering, although would normally be maintained at 4 liters twice a week.

I choose two nights per tree to water them, but never both trees on the same night. Each tree expands an area of 1 square meter, so my quadrats are split into 9 sections, and fruit is counted individually in each section. So far I have done 2 replicates, as the fruit is just starting to produce and grow. I plan on collecting data until August to get the maximum yield of fruit, so 10 replicates altogether. In the end I will do a final count of fruit on each tree to complete my study and most likely just use that number for my conclusion. The overall number throughout the whole study is mainly just for my curiosity.

So far my sampling design has been working out for me. If I were to redo this experiment I would net the trees so birds couldn’t pick at the fruit and potentially disrupt a true fruit yield. Patterns I have noticed come from more the leaves of the tree than what the fruit looks like, although it might yet be too early to tell how this is going to affect the fruit itself.  The cherry tree and the pear tree both have unhealthy looking leaves that curl up, with some turning reddish/brown and wilting. The plum tree has healthy looking dark green leaves. In comparison to last year, the cherries growing on the tree don’t seem to be as abundant this year, but that can be due to other variables I haven’t accounted for in this study.

 

Cherry: no watering- drought

Plum: normal watering- control

Pear tree: excessive watering- too much water stress

Post #3 – Ongoing Field Observations

April 28, 2017 – Friday 12:00-13:30

Weather: 5.5 degrees C.  35 Km/hr wind.  No recent precipitation.  Snow still present on the North and East slopes.  Ice cover on Eskers Lakes, but Pond 1 is ice-free.  5 diving ducks on Pond 1 and ducks are present on the open shoreline of the lakes where snow and ice is melting.

Photo 1: Sparse Labrador Tea growing in the open.
Photo 2: Higher density and abundance under the spruce trees.
Photo 3: Labrador Tea growing at the toe of the hill under the spruce trees, and not growing on the hillside.

20170428_Field Notes

The organism that I plan to study is Labrador Tea (Ledum groenlandicum).  Walking along the bottom of the slope of Pond 1, the North slope has a lot of Labrador Tea, particularly under the canopy of spruce trees.  There is not a lot of pooling water on the North side as there is a constructed drainage ditch that reports to the wetlands proximal to Eskers Lake West.  Photo 1 illustrates the sparse occurrence of Labrador Tea in open areas with no canopy.  Photo 2 illustrates the difference in density and abundance when there is spruce tree canopy cover.

Walking along the 300 m stretch of wetland below the east-facing slope of Pond 1, there is a very obvious pattern of Labrador Tea growing in dense patches directly below the smaller spruce trees.  There is no drainage ditch along the East slope but there is also no pooling water.  Further towards Eskers Lakes, the distribution and abundance of Labrador Tea greatly decreases as the ground becomes more flooded.  Within the forested area Labrador Tea is beginning to grown green leaves.

Along the South-facing slope there are larger Englemen Spruce trees.  The abundance of Labrador Tea is low under the larger trees.  There appears to be a preference for the smaller Black Spruce.  Again, the spatial distribution of Labrador Tea is greatest in moderately well-drained soil directly under the canopy of smaller spruce trees.

Underlying processes explaining why Labrador Tea is greater in density and abundance directly below smaller spruce trees:

  • soil moisture – Labrador Tea does not appear to thrive in flooded or saturated soil conditions
  • Slopes – Labrador Tea does not appear to grow on steeper slopes, though aspect does not appear to be a factor

Hypothesis (Inductive): The abundance and density of Labrador Tea is determined by substrate moisture.

Prediction: Areas proximal to wetlands will have greater abundance and density of Labrador Tea than either the flooded areas of the wetlands or the well-drained slopes.

Null Hypothesis: Soil moisture has no effect on the abundance and density of Labrador Tea.

Response Variable: Labrador Tea

Predictor Variable: Soil moisture.

The response variable, Labrador Tea, is categorical (may measure as presence/absence) and the predictor variable, soil moisture, is continuous.  This appears to be a a Logistic Regression study design.

 

Blog Post 8 – Table and Graphs

 

Above is my table of information obtained during my sampling period of 10 different randomized replicates. Increasing my replicates from 2 to 10 has really helped increase the amount of data that I have been able to obtain. This has helped increase the amount of African Elephants captured on the camera traps and has given me more information to utilize in my graph. The data obtained is exciting to see as there is definitely a trend as to what temperature the elephants drink at. The status quo is that most animals will drink at the hottest time of the day in order to cool themselves down and quench there thirsty that would be thought to be peaking at that particular time of day. However the evidence that I have collected shows that a majority of the Elephants are drinking at 20 degrees C. A great majority of the more sporadic drinking habits fall in from 20 degrees C down to the low teens. One would then think that Elephants prefer to drink at cooler temperatures in order to stay concealed during the hotter times of the day.

With my last samples collected a majority were breeding herds of elephants ranging from 5 members to 25 members. My one worry is that the larger breeding herds may skew the data as the larger numbers make a bigger impact. This could mean that even one fairly large breeding herd coming to drink at a specific temperature may bump the numbers up for that temperature. This could then lead to a misrepresentation of data in the long run, this is something I am keeping in mind whilst writing my discussion.

 

Post # 5: Design Reflections

  1. There were some difficulties in implementing my sampling strategies. It is sometimes difficult to measure out transects if people are nearby, it was also not ideal to count individual bees as when many accumulated, it was hard to keep track. It is also hard to set a control as I would physically have to restrict a bush from any bee pollination and legally I am not allowed to do that. I think in modifying my approach I am also going to relocate my experiment to somewhere less busy where I can spend a significant amount of time without being disturbed. So in saying this, I am going to take my study into my backyard where I have an abundance of vegetation and animals. I am now going to study the effects of watering on fruit trees. My hypothesis is: Fruit trees with more watering of the soil will increase better fruit production.

Blog Post 2: Sources of Scientific Information

a) The source of ecological information that I found is called, Phylogeography and historical demography of the orchid bee Euglossa iopoecila: signs of vicariate events associated to Quaternary climatic changes.

Frantine-Silva W, Giangarelli D, Penha R, Suzuki K, Dec E, Gaglianone M, Alves-dos-Santos I, & Sofia S. 2017. Phylogeography and historical demography of the orchid bee Euglossa iopoecila: signs of vicariant events associated to Quaternary climatic changes. Conservation Genetics: 18(3) pg. 539.

http://apps.webofknowledge.com.ezproxy.tru.ca/full_record.do?product=WOS&search_mode=GeneralSearch&qid=5&SID=1C85padMeVxVdbRYy3V&page=1&doc=2

b) This is a academic peer-reviewed research article.

c) The authors of this article are scholars of their field, therefore making them experts. This paper includes in text citations and has a bibliography. The article is peer reviewed because it has a submission date and a published date and was further published in a peer reviewed journal. Lastly, this article is a research article because it is written as a summary of the authors research questions which included the conduction of an experiment. The experiment can be outlined in the different headings of the article such as the methods/materials and the results.

Blog Post 1: Observations

I have selected to observe Paul Lake in Kamloops, British Columbia. This is a Provincial Park in which the public is welcome to use the campground or the beach for recreational use. Paul Lake is lined with small mountains which are covered with conifers. The recreational site has a vast amount of grassy areas which slowly turns into a sandy beach as it connects to the water. I visited this site at 12pm on a Thursday (June 22, 2017) afternoon. It was apporximately 20 degrees celsius with  clouds covering the blue sky. At the Provincial Park I became curious about the water levels at Paul Lake and how they are affected in the differing seasons with the temperature changes and climate changes. I also began to wonder how wildlife, such as geese or bugs, are affected by the water level changes. More explicitly I came up with these three questions, (1) what are the causes of water level changes? (2) Has the water levels at Paul Lake shown the same general trends over the years? And (3) how do these causes affect wildlife inhabiting nearby areas?

Post 4: Sampling Strategies

The virtual forest sampling tutorial really helped me learn the techniques of sampling.  The fastest estimate time was the area haphazard method at 2 hrs and 43 minutes. The percent errors are as follows:

Haphazard- Common

Red maple-  4%

White Oak – 7%

Haphazard- Rare

Black Tupelo- 70%

Downy Juneberry- 76%

 

Random Systematic- Common

Red Maple- 8%

White Oak- 8%

Random Systematic- Rare

Hawthorn- 76%

Black Cherry- 96%

Random Sys- Common

Red Maple- 4%

White Oak- 20%

Random Sys- Rare

White Ash- 68%

Basswood- 66%

 

The accuracy changed greatly with species abundance and most with the rare species. Accuracy seemed to decrease.   Random/Systematic produced data closest to the actual values, although not as fast in time, but the percent error values were lower in haphazard sampling.

 

Blog Post # 7 Theoretical perspectives

Animal behaviour has been something that we as our own species are fascinated with, we want to know what makes an animal tick, why does the cat flick its tail upwards whilst sometimes it “wags” it side to side. Behaviour of animals has become such interesting topic over the past few years as we seek answers to why animals do the things they do.

The major idea that underpins my research is the why, why and how does the Elephants drinking behaviour change as it gets hotter, how does it change as it gets colder. The Anatomy of the Elephant very well may hold the key to the answer as their enormous weight is matched to a small surface area (relative).

Keywords

African Elephant ( Loxodanta africana ), Temperature, Drinking

Blog Post #6: Data Collection

My data collection has come with a few hardships to over come because of the change of seasons, we are currently going into our dry season. The change has brought about colder weather and more overcast days, we have also had an unusually high amount of rain for this time of year. This late rain has kept the natural water pans full and productive. The grass in the southern areas of the Timbavati is still green whilst in the north where I am is a far drier. From my observations it seems like the breeding herds of Elephants have stayed in the South to utilize the greener food.

To try and maximize my data I can collect I have chosen 10 replicates or water holes to monitor this has allowed me to monitor both the Northern and Southern areas of our traversing area. I have set the cameras up generally durning the mid-day as it is when I have time off in between game drives.  They then spend 5 days and night at the pre-determined water hole. Each camera is set to capture a photo at 15 minute intervals, each camera also takes a picture if the motion sensor is triggered. Generally an animal will trigger a photo at about 15 meters from the camera so I try to pick an area closest to the water that gives the biggest field of view to maximize photos taken. One thing to take into account is the curious hyenas who have on one occasion tasted my one camera trap ( it is still in one piece, barely) and on the other occasions come for a quick sniff.  On 11  different occasions I have had only Elephant bulls coming down to drink while in the month my cameras have been up I have not counted one breeding herd of Elephants. I am however starting to see a pattern as to when the Elephants, bulls in particular come down to drink. It seems as the heat of the day does have influence when the Bulls come down to drink rather than the time of day. On most occasions the Elephants have drank from 17 -20 Degrees Celsius  which seems to be the preferred temperature for the Bulls to drink irrelevant to the time of day. This ancillary pattern shows that the bulls as unfortunately that is all I have been able to capture on traps do have a preference as to what temperature they drink at. This could be assumed that the heat of the day does have something to do with their drinking activities

 

Most water holes that I have monitored have however been very quiet in terms of Elephant activity, Impala and Warthog, have been the far busiest at the water points.  This is not of any surprise as the Impala and the Warthog are water dependant species. I have also captured, lion, leopard, Hyena, buffalo, waterbuck, doves,  Egyptian geese, and mongoose. The Elephant bulls have favoured one dam much more than any other and in hind sight it may have been more beneficial to leave the camera traps at my first two water holes that I chose to study.

Blog Post 9: Field Research Reflections

I did not encounter any major issues with the implementation of my design and also did not make any changes to my design while I was in the process of collecting data. However, if I were to repeat this experiment, I would change some aspects of my design.

When performing the statistical analysis for each set of data related to each alternative hypothesis, the results show no statistically significant difference for both cases. Therefore, my null hypothesis for my first analysis cannot be rejected and my hypothesis has to be rejected. For the second analysis, my null hypothesis can be rejected and my hypothesis can be accepted.

First analysis:

H0 = The number of birds of the genus Larus spp. present in the intertidal zone does not vary in function of the tide level.

H1 = The number of birds of the genus Larus spp. present in the intertidal zone varies in function of the tide level.

Second analysis:

H0: The number of birds of other genus present in the intertidal zone varies in function of the tide level.

H1: The number of birds of other genus present in the intertidal zone does not vary in function of the tide level.

Based on my field observations, I predicted that there would be a significantly higher number of gulls present in the intertidal zone at low tide than at high tide. I believe that I wasn’t able to reject my null hypothesis because my sample size was too small (F=3.6078 ˂ Fcrit 4.4139 ; p = 0.074 ˃ 0.05). My p-value was close to being lower than 0.05. Hence, if I were to repeat this experiment, I would collect data on at least 30 occasions at low tide and 30 occasions at high tide. Furthermore, there seem to be significantly less gulls in the intertidal zone at low tide in the morning than in the afternoon. I would therefore divide my data collection further into low tides occurring in the morning and low tides occurring in the afternoon. This would allow me to determine if the time of the day also influences the presence of gulls in the intertidal zone at low tide.

Designing this experiment has allowed me to appreciate how much effort is put into this process. I now better understand the complexity of experimental design. I am also aware that every detail needs to be carefully thought and that small mistakes make a significant difference in the outcome.