31 research outputs found

    DESIGNING WETLAND CONSERVATION STRATEGIES UNDER CLIMATE CHANGE

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    A methodology for evaluating public wetlands conservation investments that considers climate change is developed and applied to Virginia's Elizabeth River watershed. A revised cellular automaton (CA) model is applied to project future land use change. Discrete stochastic sequential programming (DSSP) is used to model a parcel-based discrete-time decision process.Environmental Economics and Policy,

    State and local governments plan for development of most land vulnerable to rising sea level along the US Atlantic coast

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    Author Posting. © The Author(s), 2009. This is the author's version of the work. It is posted here by permission of IOP Publishing for personal use, not for redistribution. The definitive version was published in Environmental Research Letters 4 (2009): 044008, doi:10.1088/1748-9326/4/4/044008.Rising sea level threatens existing coastal wetlands. Overall ecosystems could often survive by migrating inland, if adjacent lands remained vacant. On the basis of 131 state and local land use plans, we estimate that almost 60% of the land below 1 m along the US Atlantic coast is expected to be developed and thus unavailable for the inland migration of wetlands. Less than 10% of the land below 1 m has been set aside for conservation. Environmental regulators routinely grant permits for shore protection structures (which block wetland migration) on the basis of a federal finding that these structures have no cumulative environmental impact. Our results suggest that shore protection does have a cumulative impact. If sea level rise is taken into account, wetland policies that previously seemed to comply with federal law probably violate the Clean Water Act

    Sea level rise—from my front porch

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    DESIGNING WETLAND CONSERVATION STRATEGIES UNDER CLIMATE CHANGE

    No full text
    A methodology for evaluating public wetlands conservation investments that considers climate change is developed and applied to Virginia's Elizabeth River watershed. A revised cellular automaton (CA) model is applied to project future land use change. Discrete stochastic sequential programming (DSSP) is used to model a parcel-based discrete-time decision process

    Central Sleep Apnea and Medication Use

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    http://deepblue.lib.umich.edu/bitstream/2027.42/192278/2/zsaa056.719.pdfDescription of zsaa056.719.pdf : Published versio
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