Activity 1: Long-Term Temperature Trends



Questions:
- For your scatter plot graphs, which variables did you plot on the x-axis and y-axis? Explain why. On my scatter plot graph, I plotted years on the x-axis and temperature in Celsius on the y-axis. I choose to plot these variables on their respective axes because the y-axis should start at 0 and the years range from 1659-2016.
- Based on the trend line, describe how annual temperature has changed over time. How has temperature changed in Feb – April? In March – May? Upon a casual inspection of any of the trend lines, it is clear that the data points are increasing, meaning the temperature is increasing over time. The trend line shows an annual temperature increase of roughly 1° Celsius throughout the 400 year period. The temperature change in February-April and March-May also reflect a temperature increase of 1° Celsius.
- Calculate the correlations (R²) in the Mean Temperature (Feb – April) vs. Year and Mean Temperature (March – May) vs. Year scatter plots. Which graph depicts the strongest relationship between temperature and year? Explain your answer. The scatter plot displaying the strongest relationship correlation (R²) between temperature and year is the scatter plot of the mean temperature of March-May. The scatter plot has a R² of 1.01 compared to the 0.087 R² value of the February-April scatter plot. I believe the cause for this variance in the correlation between temperature and year is due to the fact that temperature has a larger range in the summer months than the winter months.
Activity 2: Pollination of the Early Spider Orchid (Ophrys sphegodes) by the Solitary Bee (Andrena nigroaenea) (Robbirt et al., 2014)



Questions:
- At 7°C, how does the timing of the arrival of the bees compare to the peak flowering time? At 7°C the arrival of the bees does not correlate to the peak flowering time. The data for the bees is random and does not have a clear correlation to the peak flowering time, which is highest at a lower Spring temperature.
- At 10°C, how does the timing of the arrival of the bees compare to the peak flowering time? At 10°C, the bees arrival is at the highest point on the graph and the peak flowering time is at its lowest point.
- How does bee activity and orchid flowering timing compare from the beginning of the century (1848 – 1900) to the end of the century (1954 – 2006)? Bee arrival is happening sooner as time progresses. From 1893-1900, bees arrived after an average of 74 days. In the period of 1954-2006, bees arrived after an average of 62 days, an entire 12 days quicker. Orchid flowering times have been blooming closer to March 1st and has been quicker in correlation to warmer temperatures. In orchids, this evolutionary change is more subtle. From 1954 to 2006, orchids are blooming 2 days sooner than the first reported range.
- Predict how continued increases in global temperature might affect the reproductive success and abundance/existence of Ophyrs sphegodes. Use evidence from the graph to support your prediction. Continued increases in temperature should correlate to earlier blooming times of Ophyrs sphegodes. These flowers remain fertile to be pollinated by bees for 4-6 weeks. I predict that the orchids will continue to bloom faster with warmer temperatures until their reproductive window doesn’t match with the arrival of the bees. At this point, one species must quickly adapt or significant losses will occur.
Overview Questions:
As a science communicator, how would you use today’s lab experience to explain the pattern? Are there alternative hypotheses to explain what happened in 2017? (Cicadas)
Cicadas spend their developmental stages underground, 12 to 17 years in fact. Recently, cicadas have been crawling out of their underground dwellings years early. Keith Clay, a biologist at Indiana University in Bloomington, states that the cicadas biological clock has been miscalculating when it is time to emerge. Cicadas rely on a variety of environmental cues such as changing seasons and ground temperature to determine when to come out. My hypothesis explaining the 2017 cicada emergence is that an increase in temperature is causing an earlier blooming season and the insects come out sooner in response to environmental changes.
According to a 2016 Pew Research Poll, roughly half of United States adults say climate change is due to human activity and expect negative effects due to climate change. As a science student and communicator, what are examples climate change impacts that the general public might have experienced? What are some challenges associated with communicating to the general public about climate change? Identify possible steps towards addressing some of these challenges.
Climate changes can affect everyone. Your geographic location can increase your vulnerability to climate change. Older residents prefer to live in warmer areas of the country and make up larger share of the population in these regions. Elderly people are more sensitive to heat stress than the average individuals. With expected warming of temperatures in these areas, the elderly will be more vulnerable to heat-illnesses and trauma at an unparalleled rate.
Roughly 80% of the United States’ population lives in urban environments (epa.gov). As we learned through our excel graphs and lab readings, cities are prone to the heat island effect. Heat waves in these cities will increase and will cause the prices of utility bills such as air conditioning to increase.
Another interesting piece of information I read is that climate change will cause insurance prices to rise as well. Thinking about it logically, climate change is expected to increase the frequency and intensity of life-threatening weather events, namely heat waves, droughts, and floods. These ecological disasters are known to increase property losses and disruptions to society. Your monthly insurance may cost more than it used to to account for and protect your losses in the event of a weather disaster.
Climate change can alter food production as well. Farmers spend in excess of $11 billion annually just on pesticides alone (epa.gov). Unfortunately for farmers, pesky insects thrive in the altered conditions of climate change. Weeds, pests, and fungi love the warmer temperatures, wetter climate, and increases in carbon dioxide. If climate change continues at the same pace, weeds, insects, and fungi will further extend their range of conditions they can live in. Farmers who have never experienced a certain weed or pest in their fields, must quickly adapt or risk ruining a harvest.
The Yale Program on Climate Change Communication released the data from a national study conducted on climate change. When asked if climate change effects weather, only 64% of people surveyed said yes. Another troubling statistic, only 71% surveyed believe climate change is occurring. The issue we are presented with is trying to correct and slow the effects of a worldwide epidemic that a large percentage of our country denies is occurring. Scientists must ask how can we reverse these effects and convince an unconvinced nation about climate change?
We have a role as scientists to communicate efficiently and effectively to the public. The problem is that the United States public is not completely convinced on the topic of climate change and global warming. In order for the public to be convinced that these epidemics are occurring, than scientists must be more in my topic of last week’s blog: science communication.
Understanding the barriers the “non-believers” have that restrict their view on climate change, is the first step scientists must take in order to inform them. The public may be limited by a basic understanding of science and social and cultural factors. Identifying these factors will help to determine what method we can use to communicate effectively. The scientist now understanding what personal challenges and barriers have been set up, constructs an argument for climate change while addressing their concerns.
References:
Environmental Protection Agency. “Climate Impacts on Agriculture and Food Supply.” epa.gov, Environmental Protection Agency, January 19th, 2017, https://19january2017snapshot.epa.gov/climate-impacts/climate-impacts-agriculture-and-food-supply_.html
Leiserowitz, A., Maibach, E., Roser-Renouf, C., Rosenthal, S., Cutler, M., & Kotcher, J. (2017). Climate change in the American mind: October 2017. Yale University and George Mason University. New Haven, CT: Yale Program on Climate Change Communication.


