Literature DB >> 15952524

A screening procedure for identifying acid-sensitive lakes from catchment characteristics.

N H Berg1, A Gallegos, T Dell, J Frazier, T Procter, J Sickman, S Grant, T Blett, M Arbaugh.   

Abstract

Monitoring of Wilderness lakes for potential acidification requires information on lake sensitivity to acidification. Catchment properties can be used to estimate the acid neutralizing capacity (ANC) of lakes. Conceptual and general linear models were developed to predict the ANC of lakes in high-elevation (> or = 2170 m) Wilderness Areas in California's Sierra Nevada mountains. Catchment-to-lake area ratio, lake perimeter-to-area ratio, bedrock lithology, vegetation cover, and lake headwater location are significant variables explaining ANC. The general linear models were validated against independently collected water chemistry data and were used as part of a first stage screen to identify Wilderness lakes with low ANC. Expanded monitoring of atmospheric deposition is essential for improving the predictability of lake ANC.

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Year:  2005        PMID: 15952524     DOI: 10.1007/s10661-005-3853-0

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  1 in total

1.  Chemistry of lakes in designated wilderness areas in the western United States.

Authors:  J M Eilers; D F Brakke; D H Landers; W S Overton
Journal:  Environ Monit Assess       Date:  1989-04       Impact factor: 2.513

  1 in total
  2 in total

1.  Effects of stock use and backpackers on water quality in wilderness in Sequoia and Kings Canyon National Parks, USA.

Authors:  David W Clow; Harrison Forrester; Benjamin Miller; Heidi Roop; James O Sickman; Hodon Ryu; Jorge Santo Domingo
Journal:  Environ Manage       Date:  2013-09-27       Impact factor: 3.266

2.  Trend estimation for complex survey designs of water chemistry indicators from Sierra Nevada Lakes.

Authors:  L A H Starcevich; T McDonald; A Chung-MacCoubrey; A Heard; J Nesmith; T Philippi
Journal:  Environ Monit Assess       Date:  2018-09-19       Impact factor: 2.513

  2 in total

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