Literature DB >> 25544337

Responses of 20 lake-watersheds in the Adirondack region of New York to historical and potential future acidic deposition.

Qingtao Zhou1, Charles T Driscoll2, Timothy J Sullivan3.   

Abstract

Critical loads (CLs) and dynamic critical loads (DCLs) are important tools to guide the protection of ecosystems from air pollution. In order to quantify decreases in acidic deposition necessary to protect sensitive aquatic species, we calculated CLs and DCLs of sulfate (SO4(2-))+nitrate (NO3-) for 20 lake-watersheds from the Adirondack region of New York using the dynamic model, PnET-BGC. We evaluated lake water chemistry and fish and total zooplankton species richness in response to historical acidic deposition and under future deposition scenarios. The model performed well in simulating measured chemistry of Adirondack lakes. Current deposition of SO4(2-)+NO3-, calcium (Ca2+) weathering rate and lake acid neutralizing capacity (ANC) in 1850 were related to the extent of historical acidification (1850-2008). Changes in lake Al3+ concentrations since the onset of acidic deposition were also related to Ca2+ weathering rate and ANC in 1850. Lake ANC and fish and total zooplankton species richness were projected to increase under hypothetical decreases in future deposition. However, model projections suggest that lake ecosystems will not achieve complete chemical and biological recovery in the future.
Copyright © 2014. Published by Elsevier B.V.

Entities:  

Keywords:  Acid neutralizing capacity; Acidic deposition; Adirondacks; Biological indicators; Lake-watersheds

Mesh:

Substances:

Year:  2014        PMID: 25544337     DOI: 10.1016/j.scitotenv.2014.12.044

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  1 in total

1.  A machine learning approach to estimation of downward solar radiation from satellite-derived data products: An application over a semi-arid ecosystem in the U.S.

Authors:  Qingtao Zhou; Alejandro Flores; Nancy F Glenn; Reggie Walters; Bangshuai Han
Journal:  PLoS One       Date:  2017-08-04       Impact factor: 3.240

  1 in total

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