Dataset of the Day: Coexistence between People, Animals, and Plants in Limited Space. Who Wins?
People may not be as big as elephants, whales, or gigantic trees but they are still the most “space dominating” organisms on the face of the planet. What do I mean by “space dominating”? I hypothesize that humans tend to conquer over spaces so drastically that they greatly affect the quality of living for other organisms. Sometimes the affect is so great that species can go through drastic loss of numbers and possible extinction. I decided to investigate my idea further and use Finder! and Maker! to help me.
I investigated to see if I could find endangered species numbers by country and came across the website of the International Union for Conservation of Nature (IUCN). The IUCN regularly puts out their Red List which is an intense listing of the conservation status of plants and animals around the world. The list sets guidelines to evaluate the extinction risk of thousands of different plant and animal species. Once their list has been created they showcase their results to promote conservation across the planet. I created a dataset in Finder! of this list to show the number of threatened (critically endangered, endangered, and vulnerable) species by country in the world. The list is also broken up by number of mammals, reptiles, birds, fish, mollusks, other inverts, plants, and total threatened species. The map below shows the total number of threatened species by country. (click on images for larger views)

Finder! link – IUCN Red List of Threatened Species by Scientific Classification, World by Country, 2008
Now I wanted to find more data to test my original hypothesis (Are humans the most ‘space dominating’). I found human population data by country and also area of each country in square kilometers. With this data I then calculated population density’s for every country in the world. I then took the total number of threatened species by country and divided it by the area of the country. This gave me a value that I call my, ‘Threatened Species Density Rate’. I then decided to correlate this new Threatened Species Density with the Human Population Density. For my hypothesis to be correct I would need to see that countries with high population densities will have high Threatened Species Density Rates because humans have not allowed the animals living there to have the resources to properly survive. Below is the correlation analyzed in Maker!
The correlation above shows a slope of .64 which is somewhat high and shows that a somewhat high correlation is found in countries that have high threatened species density rates and high population densities. So my hypothesis can be seen as being somewhat accurate. Let’s take a look at this point shown in a map on Maker!
To really see this point illustrated lets zoom in on NW Africa on a map of Population Density and Threatened Species Density mapped out together (The purple polygons represent Threatened Species Density and the Green Dots represent Population Density)
Here we see countries with low population density (Algeria, Mali, Niger) have lower threatened species density. Compare these to the countries with high population densities (Liberia, Nigeria, Ghana)that have high threatened species densities.
It seems that if you keep animals and plants free from humans, they will likely be able to survive properly. Not all countries obey this rule, but the rate around the world is pretty high. It is also interesting that many of the countries that have low population densities have areas that are very desolate and unlivable by human standards. These places include deserts or ice fields where extreme temperatures and conditions don’t allow humans to live but allow specialized species to survive that can handle all the extreme conditions. Maybe one day if humans find ways to survive in such places causing population densities there to grow, we might then see an increase in the threatened species densities there as well. We will have to wait and see.
5 Responses to Dataset of the Day: Coexistence between People, Animals, and Plants in Limited Space. Who Wins?
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It would be interesting to study whether countries with high population had more of a tendency to A) find the threatened species and B) do the scientific and political work required to get them classified as threatened. I wonder how much this is contributing to the correlation.
What is the big orange outliers in the scatter plot? Very interesting that a place with very high population density is having such a minimal effect on the environment. It would be very interesting to see if there are policies or strategies they’ve implemented to achieve such a low impact, or if there are other exogenous factors responsible.
Sterling – I agree completely. It would also be interesting to see if lesser countries that are experiencing war, civil rebellion, etc… have put forth a strong effort in discovering threatened species in their country.
jacque – The orange outlier is Macau, China. On doing more searching on the environment of Macau I read, “With a dense urban environment, Macau has no arable land, pastures, forest, or woodland.” – Wikipedia. Also, Macau is only 28 sq km in area. Purely just an urban area or a city where wildlife tends to not exist. After reading this I realized that Macau probably has little, if any animal or plant species living there to begin with. If wildlife is sparse then the chances for threatened wildlife is also sparse. So maybe this means that if you want to have a low number of threatened wildlife you should just go ahead and turn your country into a city and destroy it all together.
Thanks for the Comments! – Kevin
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