We now have information thanks to all these efforts we now have information on the relative abundance at high spatial and temporary resolutions for almost 2000 species worldwide including all 450 species in North America that you can find on our website. You will also see work in videos that are the result of the hard work that has been done by Andrew a postdoc in our program and also by our student interns Tristan and Archie.īelieve It or Not Eber turns 20 this year and along with all of these data we have really focused our efforts and our program for the past five years and working with Partners to make sure that all of this scientific information is accessible for informing conservation and management actions included in these data are large volumes of data for each state in the US for example in New York alone we have about 2.9 Million checklists from over 54 000 e-birders for the past 15 years the eBird status and Trends project team has worked on statistical advancements and Innovations and data visualizations to generate information for all species in the U.S and Beyond this has resulted in unprecedented information on bird populations such as this animation relative abundance of the yellow worber throughout its full annual cycle. You will also see on this website a video presentation from Oren who is a research associate or in conservation science program but he’s also a researcher on the status and Trends team that you will learn about. Welcome everybody and thank you all for your interest in our project to help support information needs of state and federal agencies.Īlittle bit of background in who we are, I am Viviana, I’m an assistant director of the center for Avian population studies and the lead of the conservation Science Program. By downloading these data products you are agreeing to the full Terms of Use for eBird Status and Trends Products which is included in your download package. If you’re ready to download information, please scroll to the download section and find the links for your state. Below, you will find instructional videos and descriptions of the different types of information that we’re providing, from a state-level information database that includes summaries of population metrics to GIS-ready files of relative abundance by state. As part of this effort, we have assembled a series of data products and summaries at the state level to support pressing needs such as updates for State Wildlife Action Plans. The Cornell Lab of Ornithology’s Conservation Science Program, housed within the Center for Avian Population Studies, is committed to working with agency partners to leverage eBird Status and Trends products in ways that best meet current and future information needs. Locating communities that are far from major highways in order to plan where new roads should be constructed.An eBird Data Portal for State Wildlife Agencies.Identifying areas that are at high risk of forest fires based on historical locations of forest fires.The result layer will show areas with high and low accessibility to hospitals, and this information can be used to decide where new hospitals should be built. Calculating densities of hospitals within a county.Creating crime density maps to help police departments properly allocate resources to high crime areas.Other use cases of this tool include the following: This result can be used to identify areas that are hospitable to grazing animals. For example, if the lines represent rivers, the result layer will represent the total length of rivers that are within the search radius. ![]() The units of the calculated density values are the length of line per unit area. For example, if the input points represent locations of lightning strikes, the result layer can be interpreted as a risk surface for future lightning strikes.įor line input, the line density surface represents the total amount of line that is near each location. In many cases, the result layer can be interpreted as a risk surface for future events. A higher density value in a new location means that there are more points near that location. For point input, each point should represent the location of some event or incident, and the result layer represents a count of the incident per unit area.
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