Literature DB >> 27501287

Watershed Planning within a Quantitative Scenario Analysis Framework.

Eric R Merriam1, J Todd Petty2, Michael P Strager3.   

Abstract

There is a critical need for tools and methodologies capable of managing aquatic systems within heavily impacted watersheds. Current efforts often fall short as a result of an inability to quantify and predict complex cumulative effects of current and future land use scenarios at relevant spatial scales. The goal of this manuscript is to provide methods for conducting a targeted watershed assessment that enables resource managers to produce landscape-based cumulative effects models for use within a scenario analysis management framework. Sites are first selected for inclusion within the watershed assessment by identifying sites that fall along independent gradients and combinations of known stressors. Field and laboratory techniques are then used to obtain data on the physical, chemical, and biological effects of multiple land use activities. Multiple linear regression analysis is then used to produce landscape-based cumulative effects models for predicting aquatic conditions. Lastly, methods for incorporating cumulative effects models within a scenario analysis framework for guiding management and regulatory decisions (e.g., permitting and mitigation) within actively developing watersheds are discussed and demonstrated for 2 sub-watersheds within the mountaintop mining region of central Appalachia. The watershed assessment and management approach provided herein enables resource managers to facilitate economic and development activity while protecting aquatic resources and producing opportunity for net ecological benefits through targeted remediation.

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Year:  2016        PMID: 27501287      PMCID: PMC5091690          DOI: 10.3791/54095

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  7 in total

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Authors:  Peter N Duinker; Lorne A Greig
Journal:  Environ Manage       Date:  2006-02       Impact factor: 3.266

2.  Integrating human impacts and ecological integrity into a risk-based protocol for conservation planning.

Authors:  Kimberly M Mattson; Paul L Angermeier
Journal:  Environ Manage       Date:  2006-11-22       Impact factor: 3.266

3.  A spatially explicit framework for quantifying downstream hydrologic conditions.

Authors:  Michael P Strager; J Todd Petty; Jacquelyn M Strager; Jennifer Barker-Fulton
Journal:  J Environ Manage       Date:  2009-01-19       Impact factor: 6.789

4.  A working guide to boosted regression trees.

Authors:  J Elith; J R Leathwick; T Hastie
Journal:  J Anim Ecol       Date:  2008-04-08       Impact factor: 5.091

5.  Ecological forecasting and data assimilation in a data-rich era.

Authors:  Yiqi Luo; Kiona Ogle; Colin Tucker; Shenfeng Fei; Chao Gao; Shannon LaDeau; James S Clark; David S Schimel
Journal:  Ecol Appl       Date:  2011-07       Impact factor: 4.657

6.  Complex contaminant mixtures in multistressor Appalachian riverscapes.

Authors:  Eric R Merriam; J Todd Petty; Michael P Strager; Aaron E Maxwell; Paul F Ziemkiewicz
Journal:  Environ Toxicol Chem       Date:  2015-10-21       Impact factor: 3.742

7.  Climate warming and agricultural stressors interact to determine stream macroinvertebrate community dynamics.

Authors:  Jeremy J Piggott; Colin R Townsend; Christoph D Matthaei
Journal:  Glob Chang Biol       Date:  2015-03-06       Impact factor: 10.863

  7 in total

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