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.

Rural Development Trends and Land Use Policy in Colorado: Contributors to Habitat Fragmentation?

Fragmentation of wildlife habitat is a primary driver of global species decline. A major contributor to habitat fragmentation in the United States is rural residential development. Rural development in Colorado is occurring at rates far greater than the national average. Additionally, the lack of state-level planning control coupled with a lack of comprehensive, effective planning tools at the local level creates conditions that contribute to habitat fragmentation in many rural counties. Greater oversight and involvement in land use planning is needed by the state level to assist county governments. This study provides five recommendations to strengthen Colorado state land use policy in order to reduce habitat fragmentation.

Sustainability in the Upper Colorado River Basin: A Struggle Between Water Resource Use and Remnants of the Natural Ecosystem

This study evaluated whether development of the Colorado River system has exceeded sustainability by comparing the trends in water use in the Colorado River. Two sustainable areas were identified in the upper basin and one in the lower-- the mainstream Colorado River, Green and Yampa rivers, and the Little Colorado River. These areas are also high priority recovery areas for four endangered fishes and protected by critical habitat provisions of the ESA. Unfortunately, the endangered fishes are declining because of habitat destruction and non-native species. If increasing water demand causes the fishes to go extinct the few sustainable areas will be lost. It will take careful management of the endangered fishes and water users to ensure these areas are maintained.