Nesting In The Clouds: Evaluating And Predicting Sea Turtle Nesting Beach Parameters From Lidar Data

Humans' desire for knowledge regarding animal species and their interactions with the natural world have spurred centuries of studies. The relatively new development of remote sensing systems using satellite or aircraft-borne sensors has opened up a wide field of research, which unfortunately largely remains dependent on coarse-scale image spatial resolution, particularly for habitat modeling. For habitat-specialized species, such data may not be sufficient to successfully capture the nuances of their preferred areas. Of particular concern are those species for which topographic feature attributes are a main limiting factor for habitat use. Coarse spatial resolution data can smooth over details that may be essential for habitat characterization. Three studies focusing on sea turtle nesting beaches were completed to serve as an example of how topography can be a main deciding factor for certain species. Light Detection and Ranging (LiDAR) data were used to illustrate that fine spatial scale data can provide information not readily captured by either field work or coarser spatial scale sources. The variables extracted from the LiDAR data could successfully model nesting density for loggerhead (Caretta caretta), green (Chelonia mydas), and leatherback (Dermochelys coriacea) sea turtle species using morphological beach characteristics, highlight beach changes over time and their correlations with nesting success, and provide comparisons for nesting density models across large geographic areas. Comparisons between the LiDAR dataset and other digital elevation models (DEMs) confirmed that fine spatial scale data sources provide more similar habitat information than those with coarser spatial scales. Although these studies focused solely on sea turtles, the underlying principles are applicable for many other wildlife species whose range and behavior may be influenced by topographic features.

Background Checks for Firearms Sales and Loans: Law, History, and Policy

This article examines past and present systems requiring that a person receive permission before buying or borrowing a firearm. The article covers laws from the eighteenth century to the present. Such laws have traditionally been rare in the United States. The major exceptions are antebellum laws of the slaves states, and of those same states immediately after the Civil War, which forbade gun ownership by people of color, unless the individual had been granted government permission. Today “universal background checks” are based on a system created by former New York City Mayor Michael Bloomberg and his “Everytown” lobby. Such laws have been enacted in several states, and also proposed as federal legislation. Besides covering the private sale of firearms, they also cover most loans of firearms and the return of loaned firearms. By requiring that almost all loans and returns may only be processed by a gun store, these laws dangerously constrict responsible firearms activities, such as safety training and safe storage. Massachusetts, Connecticut, and California are among the jurisdictions which have enacted less restrictive, more effective legislation which create controls on private firearms sales, without inflicting so much harm on firearms safety.