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This U.S. Geological Survey data release provides surface-water quality, streamflow, and groundwater-elevation data collected within the Central Pine Barrens (CPB) Region of Suffolk County, New York. The data were collected in cooperation with the Central Pine Barrens Commission and the Town of Brookhaven as part of a five-year comprehensive water-resources monitoring program. Water quality and quality-assurance data from seven sites on two rivers (Carmans River- 5 sites and Peconic River - 2 sites) in the CPB are included. Carmans River sites were sampled four times throughout the year (fall, winter, spring, and summer) and Peconic River sites were sampled twice throughout the year (fall and spring). Water-quality...
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This document provides a summary of surface water-quality, streamflow, and groundwater data collected by the U.S. Geological Survey (USGS) within the Central Pine Barrens (CPB) Region of Suffolk County, New York. The data were collected in cooperation with the Central Pine Barrens Commission and the Town of Brookhaven under a five-year comprehensive water resources monitoring program. The surface water-quality data within the CPB for the 2018 water year (October 1, 2017 to September 30, 2018) includes data from the Carmans River and the Peconic River. The streams were sampled several times throughout the year at seven pre-determined locations. The Carmans River was sampled at five locations: 1) CARMANS RIVER AT...
The lack of management experience at the landscape scale and the limited feasibility of experiments at this scale have increased the use of scenario modeling to analyze the effects of different management actions on focal species. However, current modeling approaches are poorly suited for the analysis of viability in dynamic landscapes. Demographic (e.g., metapopulation) models of species living in these landscapes do not incorporate the variability in spatial patterns of early successional habitats, and landscape models have not been linked to population viability models. We link a landscape model to a metapopulation model and demonstrate the use of this model by analyzing the effect of forest management options...
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This dataset is represent DSLland version 3.1 with only Pine Barren habitats displayed. To view and download the original dataset see: https://nalcc.databasin.org/datasets/87ba0c8d6f5642b8a3f66c5d73d257e0
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BACKGROUND Air emissions from the combustion of fossil fuels in electrical power plants, building heating systems and vehicles are the major source of gaseous sulfur (SOx) and nitrogen (NOx) oxides in the atmosphere. These oxides dissolve in atmospheric moisture forming ions which are deposited by rain, snowfall and dust particles as acidic deposition. Acidic deposition releases soluble aluminum from the soil which can reach toxic concentrations in adjacent water bodies such as streams and wetlands. Acidic deposition also removes important nutrients such as calcium, potassium and magnesium from the soil negatively impacting local flora and fauna. Depletion of calcium combined with excess aluminum makes forest...


    map background search result map search result map Effects of acid rain on the ecological health of Long Island’s forests and ponds Terrestrial Habitat Classification (DSLland 3.1), Pine Barrens 2018 Hydrologic Data Summary for the Central Pine Barrens Region, Suffolk County, New York 2019 Hydrologic Data Summary for the Central Pine Barrens Region, Suffolk County, New York 2018 Hydrologic Data Summary for the Central Pine Barrens Region, Suffolk County, New York 2019 Hydrologic Data Summary for the Central Pine Barrens Region, Suffolk County, New York Effects of acid rain on the ecological health of Long Island’s forests and ponds Terrestrial Habitat Classification (DSLland 3.1), Pine Barrens