PPT-A Mechanistic Species Distribution Model for Monarch Butter

Towards a general platform for understanding largescale butterfly distributions Leslie Ries SESYNC University of MD Cameron Scott NatureServe Timothy Howard New York Natural Heritage Program. 10 NO 10 AUGUST 201 461 For correspondence e mail deburriiyahoo coin Indian Brahmaputra alley ffers ignificant otential for ultivation of ubber trees under changed climate Debabrata Ray 12 M D Behera and James Jacob Regional Research St WEBSTER COUNTY, N EBRASKAA monarch buttery (Danaus plexippus) gathers nectar from Indian blanket owers (Gaillardia pulchella). Each spring succeeding generations of short-lived monarchs move up the - Mechanistic Explanation in Cognitive Science William York 1 1 Indiana University , Bloomington, IN U.S.A. wwyork@indiana.edu Abstract Mechanistic explanation plays a central role in cognitive scie Monarch ButterieslarvaIn addition to providing a food source for monarch larvae, the showy owers of milkweeds offer abundant, high quality nectar to many pollinators including bees, butteries and h . Presented by: Bernadette Coleman. Assistant Coordinator of Payroll. Alcorn State University. bcoleman@alcorn.edu. September 17, 2012. Introduction. Overview of the model building process. Using Remote Sensing. David S Wethey, Sarah A Woodin, Thomas J . Hilbish. , . Venkat. Lakshmi . University of South Carolina. Brian . Helmuth. , Northeastern University. wethey@biol.sc.edu. Biogeographic Modeling. The relation is supposed to be linear. We have a hypothesis about the distribution of errors around the hypothesized regression line. There is a hypothesis about dependent and independent variables. The relation is non-linear. LiDAR-derived Topography. Citation: . Hannam, M.,L.M. Moskal and S. Wyllie-Echeverria, 2009. Predicting an Invasive Species’ Distribution with LiDAR-derived Topography. Factsheet # 8. Remote Sensing and Geospatial Application Laboratory, University of Washington, Seattle, WA. Digital version of the fact sheet can be downloaded at: . :. Towards . a . general platform . for understanding large-scale . butterfly distributions . Leslie . Ries. (SESYNC, University of MD). Cameron Scott (. NatureServe. ). Timothy Howard (New York Natural Heritage Program). Daniel Chapman. 1. , Oliver Pescott. 1. , Helen Roy. 1. , Robert Tanner. 2. 1. Centre for Ecology & Hydrology, UK. 2. European and Mediterranean Plant Protection Organization, France. In an EU LIFE Project*, . Using Remote Sensing. David S Wethey, Sarah A Woodin, Thomas J . Hilbish. , . Venkat. Lakshmi . University of South Carolina. Brian . Helmuth. , Northeastern University. wethey@biol.sc.edu. Biogeographic Modeling. e. st. 2005. Egg - 3-4 days. • . They are football shaped with. . . ridges.. . • Top of the egg turns black. . . before the caterpillar emerges.. . • Females can lay around 400 eggs.. Temporal and Spatial Models of Moth Distribution at the H.J. Andrews Experimental Forest. - . Erin Childs (Pomona College) , Andrew Calderon (Heritage University), Evan Goldman (Bard College, Boston University), Molly O’Neill (Lehigh University), Clay Showalter (Evergreen University), with the help of Olivia . ERIN unit of Environment Australia (Australian Government). http://www.nhm.ku.edu/desktopgarp. /. Domain/Objective. GARP is a computer model for biodiversity and ecology that allows prediction and analysis of wild species distributions; used to predict if area of study is suitable habitat for a particular species; an ecological niche model similar to BIOCLIM.