Our students and scientists conducted a very successful species inventory of Central Park, finding a total of 571different species. We achieved our two main goals for the BioBlitz: educating students about the science of ecology in the city and cataloguing as many species as we could in 24 hours. Students got a rich experience with scientific data collection in a complex ecosystem and also had a great time.
These data are current as of 2/1/2014.
The data files are viewable at the bottom of the page, or can be downloaded by clicking the links below (and then the link again on the next page).
2013 Central Park BioBlitz Results Highlights – This document discusses noteworthy findings from the Central Park BioBlitz.
2013 Central Park BioBlitz Observations and List Feb 1– This file has the 2013 BioBlitz observations divided by taxon team. There is also a species list that just has unique species (not number of times observed or location). The zones we used in the park are shown on this map – CPC_BioBlitz_Map_v13
2003 Central Park BioBlitz Summary Data – This file is a total species list for the 2003 BioBlitz.
iNaturalist BioBlitz Data – This file has all exported data from the BioBlitz observations that were logged on the iNaturalist database. There is also a help file (iNaturalist BioBlitz Data File Help) that defines the most useful columns in the spreadsheet.
Below are links to the .kml files for location data that can be used in mapping programs. There are four files because of a 200 observation limit in iNaturalist and a search that can only include one day at a time. Note that these files have all the iNaturalist observations. You can make your own filtered lists and maps though iNaturalist directly. If you go to the observation search page you can type in your parameters (day and taxon of interest) and search. At the bottom of the results page will be a link to the .kml file. Because of iNat’s quirks, you will need to add the “&limit=200&page=1″ (without the quotation marks) to the end of the search results url to get all of the data in one place.