Net Geochemical Release of Base Cations From 25 Forested Watersheds in the Catskill Region of New York Article Swipe
Sara C. Nieman
,
Chris E. Johnson
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3389/ffgc.2021.667605
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3389/ffgc.2021.667605
Chemical weathering of minerals is the principal mechanism by which base cations (Ca 2+ , Mg 2+ , K + , and Na + ) are released and acidity is neutralized in soils, bedrock, and drainage waters. Quantifying the release of base cations from watershed soils is therefore crucial for the calculation of “critical loads” of atmospheric acidity to forest ecosystems. We used a mass-balance approach to estimate the rate of release of base cations in 25 headwater catchments in the Catskill region of New York, an area historically subject to high inputs of acid deposition. In 2010–2013, total net base cation release via geochemical processes averaged 1,704 eq ha –1 yr –1 (range: 928–2,622). Calcium accounted for 58% of this total, averaging 498 mol ha –1 yr –1 (range: 209–815). Mass balance estimates of net geochemical release of base cations were most strongly driven by stream export and biomass uptake fluxes, with only minor contributions from precipitation. Documented rates of base cation depletion from soil exchange sites in the region were also small relative to the net geochemical release rates. We observed a significant influence of bedrock type on net base cation release rates ( P = 0.002), and a weak but significant negative correlation with watershed elevation ( r = −0.51). Relationships with other geographic factors such as aspect and watershed size were not significant. Net base cation release was 4.5 times higher than precipitation inputs of SO 4 2– and NO 3 – , suggesting that sources of acidity internal to the watershed are now more important drivers of weathering than acid deposition. Our data suggest that release of base cations from most Catskill forest soils is sufficient to neutralize existing inputs of acidity.
Related Topics
Concepts
Bedrock
Watershed
Soil water
Weathering
Base (topology)
Soil pH
Hydrology (agriculture)
Acid neutralizing capacity
Base flow
Precipitation
Chemistry
Environmental chemistry
Deposition (geology)
Cation-exchange capacity
Environmental science
Drainage basin
Geology
Acid deposition
Soil science
Geochemistry
Geomorphology
Sediment
Mathematical analysis
Geography
Machine learning
Meteorology
Cartography
Computer science
Mathematics
Geotechnical engineering
Physics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/ffgc.2021.667605
- OA Status
- gold
- Cited By
- 3
- References
- 40
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3183462624
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3183462624Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/ffgc.2021.667605Digital Object Identifier
- Title
-
Net Geochemical Release of Base Cations From 25 Forested Watersheds in the Catskill Region of New YorkWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-07-15Full publication date if available
- Authors
-
Sara C. Nieman, Chris E. JohnsonList of authors in order
- Landing page
-
https://doi.org/10.3389/ffgc.2021.667605Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.3389/ffgc.2021.667605Direct OA link when available
- Concepts
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Bedrock, Watershed, Soil water, Weathering, Base (topology), Soil pH, Hydrology (agriculture), Acid neutralizing capacity, Base flow, Precipitation, Chemistry, Environmental chemistry, Deposition (geology), Cation-exchange capacity, Environmental science, Drainage basin, Geology, Acid deposition, Soil science, Geochemistry, Geomorphology, Sediment, Mathematical analysis, Geography, Machine learning, Meteorology, Cartography, Computer science, Mathematics, Geotechnical engineering, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 1, 2023: 1Per-year citation counts (last 5 years)
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40Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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