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  1. Impacts of nitrogen and sulfur deposition on the growth of red spruce and sugar maple in the United States

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    Author(s): Jennifer N. Phelan; Paramita Sinha; George Van Houtven; Marion Deerhake; Randall G. Waite; Anne W. Rea; Ginger M. Tennant
    Date: 2012
    Source: In: Morin, Randall S.; Liknes, Greg C., comps. Moving from status to trends: Forest Inventory and Analysis (FIA) symposium 2012; 2012 December 4-6; Baltimore, MD. Gen. Tech. Rep. NRS-P-105. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. [CD-ROM]: 367-370.
    Publication Series: Paper (invited, offered, keynote)
    Station: Northern Research Station
    PDF: Download Publication  (57.49 KB)
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    Description

    Total nitrogen (N) and sulfur (S) deposition in forest systems can have either positive or negative impacts on tree growth. The growth of many forests in North America is limited by N availability. Therefore, N fertilization is often a key component of forest management, and in areas of N deposition, tree growth may be stimulated. However, N additions can sometimes be greater than what trees require and can negatively impact tree health and growth. Systems where atmospheric deposition of N and S is greater than the critical load may be examples of such forest conditions. When critical loads are exceeded, tree health and growth may be compromised both directly and indirectly due to soil nutrient imbalances caused by leaching of base cations from the soil.

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    Citation

    Phelan, Jennifer N.; Sinha, Paramita; Van Houtven, George; Deerhake, Marion; Waite, Randall G.; Rea, Anne W.; Tennant, Ginger M. 2012. Impacts of nitrogen and sulfur deposition on the growth of red spruce and sugar maple in the United States. In: Morin, Randall S.; Liknes, Greg C., comps. Moving from status to trends: Forest Inventory and Analysis (FIA) symposium 2012; 2012 December 4-6; Baltimore, MD. Gen. Tech. Rep. NRS-P-105. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. [CD-ROM]: 367-370.

    Keywords

    statistics, estimation, sampling, modeling, remote sensing, forest health, data integrity, environmental monitoring, cover estimation, international forest monitoring

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https://www.fs.usda.gov/treesearch/pubs/42779