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We used the United States National Grid to develop a sampling grid for monitoring programs in the Great Plains Landscape Conservation Cooperative, delineated by Bird Conservation Regions 18 and 19. Landscape Conservation Cooperatives are science based partnerships with the goal to inform and guide conservation at regional landscape levels. Developing a standardized sampling grid for a LCC is a new endeavor and is designed to reduce program costs, avoid repetition in sampling, and increase efficiency in monitoring programs. This is possible because the grid’s nationwide coverage, uniform starting point, and scalability allow researchers to expand their monitoring programs from a small, local level to a regional or...
This study uses an integrative approach to study the water-quality impacts of future global climate and land-use changes. In this study, changing land-use types was used as a mitigation strategy to reduce the adverse impacts of global climate change on water resources. The climate scenarios were based on projections made by the Intergovernmental Panel on Climate Change (IPCC) and the United Kingdom Hadley Centre's climate model (HadCM2). The Thornthwaite water-balance model was coupled with a land-use model (L-THIA) to investigate the hydrologic effects of future climate and land-use changes in the Ohio River Basin. The land-use model is based on the Soil Conservation Service's curve-number method. It uses the curve...
Categories: Publication; Types: Citation; Tags: ASFA 3: Aquatic Pollution & Environmental Quality, Climatic changes, Data Visualization & Tools, Environment management, Freshwater, All tags...
Invasive plants pose a significant threat to the integrity and biodiversity of native systems. Weed risk assessment and management provides a framework for assessing this threat. However, relatively little attention has been paid to the threat posed to biodiversity by invasive plants in a rapidly changing climate. This paper aims to estimate the impacts of climate change on exotic plant habitats, and incorporates elements of dispersal to develop a management index for identifying invasive plant threat under climate change. The spatial distribution of habitat suitability is modelled at the landscape scale for multiple exotic plant species under current climate and a climate change scenario for the year 2030. Expert...
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The Arctic Coastal Plain (ACP) of Alaska is an important region for millions of migrating and nesting shorebirds. However, this region is threatened by climate change and increased human development (e.g., oil and gas production) that have the potential to greatly impact shorebird populations and breeding habitat in the near future. Because historic data on shorebird distributions in the ACP are very coarse and incomplete, we sought to develop detailed, contemporary distribution maps so that the potential impacts of climate-mediated changes and development could be ascertained. To do this, we developed and mapped habitat suitability indices for eight species of shorebirds (Black-bellied Plover [Pluvialis squatarola],...
Land-cover mapping efforts within the USGS Gap Analysis Program have traditionally been state-centered; each state having the responsibility of implementing a project design for the geographic area within their state boundaries. The Southwest Regional Gap Analysis Project (SWReGAP) was the first formal GAP project designed at a regional, multi-state scale. The project area comprises the southwestern states of Arizona, Colorado, Nevada, New Mexico, and Utah. The land-cover map/dataset was generated using regionally consistent geospatial data (Landsat ETM+ imagery (1999-2001) and DEM derivatives), similar field data collection protocols, a standardized land-cover legend, and a common modeling approach (decision tree...
Predictive models of species distributions are typically developed with data collected along roads. Roadside sampling may provide a biased (nonrandom) sample; however, it is currently unknown whether roadside sampling limits the accuracy of predictions generated by species distribution models. We tested whether roadside sampling affects the accuracy of predictions generated by species distribution models by using a prospective sampling strategy designed specifically to address this issue. We built models from roadside data and validated model predictions at paired locations on unpaved roads and 200 m away from roads (off road), spatially and temporally independent from the data used for model building. We predicted...
    map background search result map search result map Predicting breeding shorebird distributions on the Arctic Coastal Plain of Alaska Final Report: Integrated monitoring within BCR’s: Creating a wildlife monitoring grid for the GPLCC Final Report: Integrated monitoring within BCR’s: Creating a wildlife monitoring grid for the GPLCC Predicting breeding shorebird distributions on the Arctic Coastal Plain of Alaska