Habitat Suitability Analysis of the Critically Endangered Florida Panther

The purpose of this study was to conduct a habitat suitability analysis of the critically endangered Florida panther (Felis concolor coryi) in Florida. We gathered land cover, population and road data from the Florida Geographic Data Library and performed map algebra using ESRI’s ArcGIS to compile a suitable habitat map. We found that there is 20381.7 km² of highly suitable habitat and 557124.4 km² of less desirable but usable habitat for the Florida panther. The highest concentration of highly suitable habitat is in Big Cypress National Park, with smaller patches in Tates Hell State Forest and along the southeast portion of the Panhandle. Due to extensive fragmentation, however, and without establishment of habitat linkages to the existing southern population, there is little chance of survival of additional panther populations in much of northern Florida.

HABITAT SUITABILITY ANALYSIS OF THE CRITICALLY ENDANGERED FLORIDA PANTHER

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A PRELIMINARY HABITAT SUITABILITY ANALYSIS FOR THE RESTORATION OF SOUTH CHINA TIGERS IN THE HUPINGSHAN RESERVE, CHINA

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A GIS SUITABILITY ANALYSIS OF WOLF HABITAT IN MAINE

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Paleoenvironmental analysis of a late-holocene subfossil Coleopteran fauna from Starks, Maine

The Sandy River in central Maine Is flanked along much of its length by low terraces. Approximately 100 kg of sediment from one terrace in Starks, Somerset County, Maine was wet-sieved in the field. Over 1100 subfossil Coleoptera were recovered representing 53 individual species of a total of 99 taxa. Wood associated with the fauna is 2000 +/-80 14C Yr in age (1-16,038). The fauna is dominated by species characteristic of habitats apparent in modern central Maine. The subfossil assemblage is indicative of a wide vartety of environments including open ground (e.g., Harpalus pensylvanicus), dense forest (e.g., pterostichus honestus), aquatic environments (e.g., Gyrinus, Helophorus), riparian environments with sand and gravel substrates (e.g., Bembidion inaequale, Schizogenius lineolatus), and moist, organic-rich terrestrial environments (e.g., Micropeplus sculptus). The ecological requirements for each taxon permit an environmental reconstruction suggesting an area vegetationally, climatically, and ecologically similar to that of the Sandy River today. The lowest terraces apparently represent the modern-day floodplain of the Sandy River. An average sedimentation rate of l.00 to 1.04 mm per year has been inferred based on radiocarbon dates here and elsewhere on the Sandy River. The Coleopteran fauna suggests that sand and gravel were distinctly abundant, and that the aggradation of point bars, as seen today, contributed to the flood history. Lateral bank erosion of the modern Sandy River accelerated after the State of Maine mandated cessation of bar removal in 1975: flood severity has dramatically increased since that time. Implications suggest that mining of the bars may be necessary to minimize future flooding problems.

A GIS Suitability Analysis of Wolf Habitat in Maine

The range of the Gray Wolf (Canis lupus), once covering most of North America, has been drastically reduced by an estimated 95% due to habitat loss and extermination by humans. The wolf was extirpated from Maine in the 1800’s. Wolf reintroductions have been suggested for Maine, but there is some debate about how much land is suitable for wolves. I developed a wolf habitat suitability analysis using ArcGIS and data from the Maine Office of GIS and the United States National Atlas. The model incorporates land cover, presence of major roads and railways, conservation land, industrial, non-industrial, and public woodlot ownership, distance from major points of population, deer population, and slope. The model results show areas of high and low wolf suitability in Maine. The model suggests that the best potential habitat for wolves in Maine is situated in the northwest of the state. Possible future reintroductions or natural colonization from other areas would have the highest likelihood of survival in these areas.

A Preliminary Habitat Suitability Analysis for the Restoration of South China Tigers in the Hupingshan Reserve, China

The South China tiger, Panthera tigris amoyensis, once roamed the greater part of southern China. However, expanding human populations and other anthropogenic effects have resulted in the extinction of the wild population. The Chinese government has expressed interest in a reintroduction program for this species of tigers. Recent studies suggest that the Hupingshan preserve is potentially a good candidate for a tiger reintroduction program. Hupingshan is located on the border of the Hunan and Hubei provinces in Southern China. This study was a preliminary habitat suitability analysis, for the restoration of South China tigers in the Hupingshan reserve, China. ArcGIS 9.0 was used to develop a model that combined roads, railroads, slope, land cover, park classification, and population density. The tiger habitat suitability analysis was performed by weighting and combining the various layers. Preliminary results suggest that the Hupingshan reserve is suitable habitat for the reintroduction of South China tigers.

Spatial Analysis of Colby College Trails: Perkins Arboretum and Runnals Hill

I created an updated map of trails at Colby College using global positioning system data that were then edited in ArcGIS. The map background, obtained from the Maine Office of GIS, was created from digital orthophotographs produced from aerial photos collected over southwest Maine in Spring 2003. Trail difficulty was determined by creating a slope layer and taking other factors into consideration such as ground surface and path width. The map will eventually be available online, enabling interactive selection of trails where users can access additional trail information.

A Spatial Analysis of Impervious Surfaces at Colby College in 1965 and 2006

Roads, parking lots, buildings, and other impervious surfaces do not allow rainwater to infiltrate the ground. As a result, they can lead to an increase in runoff to nearby ditches and streams, as well as a greater influx of pollutants such as motor oil that can often be found on paved surfaces. For this project, GIS was used to find the total area covered by impervious surfaces on the Colby campus, and to show how this area has grown in the past 40 years. It was found that new development on the campus has lead to a 56% increase in impervious surfaces at Colby since 1965.