Saturday, December 17, 2011

Media Project: Blog Post

In the summer of 2011 at the American Museum I studied urban biodiversity. Urban biodiversity is the study of how biodiversity is in a densely populated area such as New York City. Urban biodiversity is important, and for many reasons. One is that each species has a valuable genetic code unique to that species. These codes could be found as useful in the study of genetics, biochemistry, etc. In addition, there have even been trends found that link the amount and type of biodiversity to factors that influence our own lives. For example, it has been scientifically proven that if one has a certain number and type of tree growing along a street, it will affect the number of burglars and robbers that are likely to break into the houses on the street. Says Michael Foster about this discovery: “An interesting article explores the connection between street trees and human health. Check out Growing Quality of Life: Urban Trees, Birth Weight, and Crime by John Kirkland.” on the UBN blog. Knowing more about biodiversity allows us to make more of these connections; that in turn gives us a chance to benefit, as Michael Foster puts it, “human health”. With the trends being discovered, biodiversity also serves another important purpose. Humans have been steadily bringing about the Sixth Extinction, which may lead to the extinction of all mammals. The Sixth Extinction differs from other past extinctions in that it is not caused by forms of life living on Earth. It is humans, however, that inspire environment harming characteristics, which may lead to the loss of entire species around the five kingdoms of taxonomic classification. The Sixth Extinction also differs from past ones in that it can possibly be stopped or suspended. Biodiversity, especially in an urban environment, where humans are omnipresent helps to measure the rate at which this Extinction is occurring/will occur. A drop in the number of a species could indicate, for instance, that humans have taken their toll on them.

For this project, I took data regarding the types of life around the streets and parks of the big Apple. I used no rulers nor pipettes, instead, I counted upon tools that were mostly digital, including the HTC Aria, a Macbook, and several apps and programs to the job. Before commencing the study, I decided that it was likely that the there would be not much difference in the species richness between my plots and transects, because this was in an urban environment of over 10,000 people where humans were the dominant species.

My first plot was a 50x50 step plot. Located in the middle of Central Park, over a grassy meadow near the Central Park Oval. The plot, being very large required the use of randomization to analyze. Within it were several trees, many insects, a large mass of grass. We conducted the analyzation by using the website Random.org to produce us with a set of random numbers on our phones. We used those numbers to find the numbers of steps that we should take in order to find random spots throughout our plot. Whenever we can to a stop, we produced a circle on area that we were studying with a piece of string. Then a thorough examination of the area was conducted, sifting through soil, canvassing the trunks of the trees, brushing through the grass. Pictures were taken every section that we can past. In plot one, we came across the two large clusters of mushrooms at the base of a tree, we strongly suspected that although there were well over a hundred caps, the clusters were connected below the ground and were one large colony. Later, the idea of them being honey mushroom fungi emerged. On other trees we also observed many tiny mushrooms that involved deep squinting to fully observe. At some points, there was nothing but grass and weeds, in those spots, the we sifted to uncover organisms, though we came upon none.

The second was a transect that was shared by thousands of New Yorkers and tourists, the very sidewalks of the city. Once again, we called upon the numbers of Random.org, using the numbers generated to figure out the number of steps between each stop where we would take data. At many points, we came to a stop on solid asphalt, and could find organisms visible to the naked eye. The shoes and people wearing them had caused many of the other organisms to leave or get killed. At other stops, we came to a spot where a tree was planted in the asphalt and there we were able to find more organisms. There were trees, and in addition to that there were also various plants growing in the patches of soil that surrounded the tree. Impatiens (Impatiens walleriana) and pansies, (V. tricolor). We also came upon some bright green plants that we suspected were potato vines. At some parts, we stumbled upon planters that were set up by residents and/or store owners. These were not that many in number, and were planted by the dominant species. Here, the dominant species were responsible for controlling the species that were allowed to exist in this area. This went on for several blocks.

These two places were studied on the same day. The temperature fluctuated slightly over the course of the day, from 21-24ºC. However, the arithmetic mean and media were both 22 degrees. The variance was about 0.41 and the standard deviation, σ, roughly 0.64. Please refer to Figure for reference. Our sampling efforts in collecting any data was rather high, as we divided the plots in a large number of randomized sections. After collecting data, we returned and spent time analyzing it. We counted on Google Docs to provide us with fusion tables, spreadsheets, and documents to allow us to make calculations and have them posted. With this, we relied upon spreadsheets mainly to make calculations, such as for finding the Simpson’s Diversity Index and the Shannon-Weaver Diversity Index. The fusion tables provided us with the data we collected, while the documents allowed us to make drafts of our blog posts etc.

It was noted that in at least a couple randomized spots of our plots that the dominant species of humans maintained control of what species were allowed to even exist in New York. The trees had been planted at regular intervals that were regulated by humans. Decorative plants had been picked out for planting. This sort of choosing often either leads to or is the result of invasive species. The potato vine, for example, is native to South America, though it grows in the city of New York among the more indigenous plants. The pansy is another example. Other species were also encouraged or discouraged. There were many people, especially children, chasing after squirrels and feeding pigeons. Even as an act of recreation, the biodiversity was affected by the whims of even the youngest of the dominant species. With this sort of behavior, biodiversity is constantly controlled by humans. For further information, please follow the link to the article Human Domination of Earths Ecosystems, at http://bit.ly/pWE7ht.

The plots had different values for species richness. The plot in Central Park registered eight different divisions on the taxonomic classification. The transect in New York, however, had only five. This demonstrates the way humans are in control of the biodiversity within an urban center such as New York. Central Park is considered one of the most natural places in the city, where one can be surrounded by a more pristine environment on the pristine-urban gradient. Thus, many more of our natural species exist, giving us a wide range of organisms. In sidewalk environment, where the ground is paved and plants are picked, pruned, and weeded by humans, only those picked for their beauty and aesthetic purposes are allowed to grow. Therefore, the organisms are limited to a handful of taxonomic divisions, in contrast with the larger number found in Central Park. The New York City and State governments should put greater emphasis on the biodiversity in New York. We live in a place where urban biodiversity is key to our success and survival as humans, and the government should place greater emphasis on the conduction of studies that track urban biodiversity in this way.

Saturday, December 3, 2011

Trying to calculate the Simpsons or Shannon-Weaver Diversity index

Are you trying to calculate the Simpsons or Shannon-Weaver Diversity index? Use this Google Spread sheet as a guide. Don't write in the original file. Do make a copy of the file for yourself. Here are the steps:
1. Go to http://bit.ly/biodiversityindexcalculators
2. Look for the file title Biodiversity Diversity Index Calculator on the upper left hand side of your screen.
3. Just below the 'B' in file title click and hold down the mouse clicker on the word 'File'
4. Next scroll to the words 'Make a copy'
5. Release the mouse.
6. Rename your copy of the calculators by adding your First name so that the file reads 'First Name - Biodiversity Diversity Index Calculator
7. Now you are ready to use the file! :-)

Wednesday, November 30, 2011

Houses fronted by more street trees experienced lower crime rates than houses without street trees.


An interesting article explores the connection between street trees and human health. Check out Growing Quality of Life: Urban Trees, Birth Weight, and Crime by John Kirkland. There is a summary of the article below.

City dwellers can find many reasons to value neighborhood trees. Urban greenery provides relief from the built environment that many people find appealing. In fact, a previous study found that a tree in front of a home increased that home’s sale price by more than $7,000. Two new studies explore the measurable effects that urban trees and green spaces have on human health and crime rates.

Geoffrey Donovan, an economist and research forester with the Pacific Northwest Research Station, used public health data, crime statistics, tax records, aerial photos, and other information in the two recent studies. He found that women who live in houses with more trees are less likely to have underweight babies. The study on crime revealed a more complex relationship. Larger trees, including trees located near the street, are associated with a lower incidence of property crimes. Larger numbers of smaller trees—especially trees planted near the home, which may provide a screen for burglars—are associated with higher crime.

Cities within the Portland, Oregon, metropolitan area are using this information as they rewrite street tree regulations. Likewise, local crime prevention programs and tree planting advocates are sharing the findings with urban residents.

Tuesday, November 29, 2011

You are part of a network. Get involved and share!


Did you know that you are part of a network? It's call of The Hive Learning Network NYC.

The Hive Learning Network NYC is a joint endeavor between the John D. and Catherine T. MacArthur Foundation and Mozilla Foundation.  Hive links together libraries, museums, after-school programs and community-based organizations through collaborative, digital projects that create greater learning opportunities for youth.

Well guess what? Hive has a column on Huffington Post.  Huffington Post High School is a channel for youth involved in Hive programs (that's you!) to share their experiences/words/videos/podcasts/apps/etc. with their peers and to be published on a prestigious international news site. You'll see the first post, "The Future of Education" by Sharon Mizrahi (NYC), explores her unique and inspiring learning experience working with a range of cultural/civic/tech orgs through Hive. http://www.huffingtonpost.com/sharon-mizrahi/the-future-of-education_b_1020951.html

The second post, "Top 10 TV Episodes of My Childhood" by Matthew Byrd (CHI), is all about youth culture. http://www.huffingtonpost.com/matthew-byrd/top-10-tv-episodes-of-my-_b_1102102.html?ref=high-school

The only restriction is that contributors are over the age of 14. They can contribute once (or more if they'd like). It can be poetry, a podcast, a game...You can used something that you have already made and shared with your friends. As incentive (on top of being published on HuffPo - great for your resume/portfolio) you'll get a $25 gift card and a Hive T-shirt.

Get involved and share! Contact your UBN instructor.

Saturday, November 19, 2011

My Project (2/3 of the way done)

This is my project two thirds of the way done. I'm working on the middle part now and I will post it when it is done. In the mean time though, can you guys just give me some feedback on this. I would really appreciate it. :) Thanks

Part 2
  • The first plot that I observed in Central Park, right next to the Delacorte Theater. The are was very grassy, and had many trees. There weren’t very many animals in the plot. There were mostly dogs and people, which I couldn’t use, unfortunately. I was still able to get a good amount of information because there were some invertebrates crawling around in the grass and flying through the air next to the plot.
  • The second plot that I observed was really a transect. It consisted of about 3 blocks of a consistent sidewalk. Most of the pictures that I was able to take were of concrete, or, the rare times that I got lucky, it was a patch of grass with a bush or a tree. This transect of data made me pretty upset because most of the areas that I looked at had no living organisms on or in them, besides trees or leaves, of course.
  • The link below will direct you to an article by K. Tzoulas and P. James about the link between human well being, social and economical, and urban biodiversity:
http://bit.ly/t9guUp



hi guys here's what i have :

Biodiversity Media Project: Blog Post

In the summer of 2011 at the American Museum I studied urban biodiversity. Urban biodiversity is the study of how biodiversity is in a densely populated area such as New York City. It is very important to know about the life that resides next to one’s own. For this project, I took data regarding the types of life around the streets and parks of the big Apple. I used no rulers nor pipettes, instead, I counted upon tools that were mostly digital, including the HTC Aria, a Macbook, and several apps and programs to the job. Before commencing the study, I decided that it was likely that the there would be not much difference in the species richness between my plots and transects, because this was in an urban environment of over 10,000 people where humans were the dominant species.

My first plot was a 50x50 step plot. Located in the middle of Central Park, over a grassy meadow near the Central Park Oval. The plot, being very large required the use of randomization to analyze. Within it were several trees, many insects, a large mass of grass. We conducted the analyzation by using the website Random.org to produce us with a set of random numbers on our phones. We used those numbers to find the numbers of steps that we should take in order to find random spots throughout our plot. Whenever we can to a stop, we produced a circle on area that we were studying with a piece of string. Then a thorough examination of the area was conducted, sifting through soil, canvassing the trunks of the trees, brushing through the grass. Pictures were taken every section that we can past. In plot one, we came across the two large clusters of mushrooms at the base of a tree, we strongly suspected that although there were well over a hundred caps, the clusters were connected below the ground and were one large colony. Later, the idea of them being honey mushroom fungi emerged. On other trees we also observed many tiny mushrooms that involved deep squinting to fully observe. At some points, there was nothing but grass and weeds, in those spots, the we sifted to uncover organisms, though we came upon none.

The second was a transect that was shared by thousands of New Yorkers and tourists, the very sidewalks of the city. Once again, we called upon the numbers of Random.org, using the numbers generated to figure out the number of steps between each stop where we would take data. At many points, we came to a stop on solid asphalt, and could find organisms visible to the naked eye. The shoes and people wearing them had caused many of the other organisms to leave or get killed. At other stops, we came to a spot where a tree was planted in the asphalt and there we were able to find more organisms. There were trees, and in addition to that there were also various plants growing in the patches of soil that surrounded the tree. Impatiens (Impatiens walleriana) and pansies, (V. tricolor). We also identified some bright green vines that we suspected were potato vines


Glossary:

Abundance: The actual number of organisms of a species per unit of area or volume (Density).
Relative Abundance: The proportion or percentage of all organisms in a community or sample that are a particular species (Species Eveness).

Sampling effort: With a “small” sample rare species are not likely to be included. With a larger sample, rare species are more likely to be included.

Species Diversity: Two factors define species diversity. Species Richness, which is the number of species in community and Species Evenness, which is the Relative Abundance of the species.

Diversity: A community dominated by one or two species is considered to be less diverse than one in which several different species have a similar abundance. As species richness and evenness increase, so diversity increases.

Simpson's Diversity Index: The Simpson's Index (D) is a measure of diversity which takes into account both richness and evenness. Simpson's Index (D) measures the probability that two individuals randomly selected from a sample will belong to the different species (or some category other than species). The formula for calculating D is

D = 1- [Sum(n / N)2]

n = the total number of organisms of a particular species
N = the total number of organisms of all species

The value of D ranges between 1 and 0. With this index, 1 represents infinite diversity and 0, no diversity. That is, the bigger the value of D, the greater the diversity.


Shannon-Weaver Diversity Index: Shannon-Weaver Index combines the number of species present and evenness into a single index:  D = -Σ pi ln pi
University of Hawaiʻi at Manoa Biology 301 & 301L Marine Ecology and Evolution and Center for Earth and Environmental Science Indiana University ~ Purdue University, Indianapolis ARBOR Project - BIRD BIODIVERSITY

  • ni  The number of individuals in species i; the abundance of species i.
  • S The number of species. Also called species richness.
  • N The total number of all individuals
  • pi The relative abundance of each species, calculated as the proportion of individuals of a given species to the total number of individuals in the community: 
  • n_i\over N

The value of D The value of D is highest when species are equally abundant.