A simple tool for estimating throughfall nitrogen deposition in forests of western North America using lichens

Root, Heather T.; Geiser, Linda H.; Fenn, Mark E.; Jovan, Sarah; Hutten, Martin; Ahuja, Suraj; Dillman, Karen L.; Schirokauer, David; Berryman, Shanti; McMurray, Jill A.

doi:10.1016/j.foreco.2013.06.028

Cited by 42 publications

(34 citation statements)

References 36 publications

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“…Finally, we compared values from some throughfall studies Root et al, 2013) with those from the corresponding grid cells from the hybrid approach. A particular challenge with these studies is that the throughfall studies are ecosystem specific (e.g.…”

mentioning

confidence: 99%

A novel hybrid approach for estimating total deposition in the United States

Schwede

Lear

2014

Atmospheric Environment

180

121

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h i g h l i g h t sA novel approach was developed to produce estimates of total nitrogen and sulfur. The approach merges data from measurements and models. Measurement data have greater weight near monitoring sites. Modeled data are used for deposition species that are not measured. This total deposition data set is useful for ecological assessments. a r t i c l e i n f o b s t r a c tAtmospheric deposition of nitrogen and sulfur causes many deleterious effects on ecosystems including acidification and excess eutrophication. Assessments to support development of strategies to mitigate these effects require spatially and temporally continuous values of nitrogen and sulfur deposition. In the U.S., national monitoring networks exist that provide values of wet and dry deposition at discrete locations. While wet deposition can be interpolated between the monitoring locations, dry deposition cannot. Additionally, monitoring networks do not measure the complete suite of chemicals that contribute to total sulfur and nitrogen deposition. Regional air quality models provide spatially continuous values of deposition of monitored species as well as important unmeasured species. However, air quality modeling values are not generally available for an extended continuous time period. Air quality modeling results may also be biased for some chemical species. We developed a novel approach for estimating dry deposition using data from monitoring networks such as the Clean Air Status and Trends Network (CASTNET), the National Atmospheric Deposition Program (NADP) Ammonia Monitoring Network (AMoN), and the Southeastern Aerosol Research and Characterization (SEARCH) network and modeled data from the Community Multiscale Air Quality (CMAQ) model. These dry deposition values estimates are then combined with wet deposition values from the NADP National Trends Network (NTN) to develop values of total deposition of sulfur and nitrogen. Data developed using this method are made available via the CASTNET website.Published by Elsevier Ltd.

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confidence: 99%

A novel hybrid approach for estimating total deposition in the United States

Schwede

Lear

2014

Atmospheric Environment

180

121

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“…The excessive nitrogen supply applying fertilizers also induced the increase in lichen thallus N concentration (Dahlman et al 2003). Root et al (2013) presented a new monitoring approach that estimates throughfall inorganic N deposition from N concentration in lichens. It was concluded that lichen N concentration is a cost-effective way to monitor N deposition, and its N concentrations can be used to estimate throughfall N deposition and such lichen monitoring allows identification of areas that may exceed N critical loads.…”

Section: Nitrogen Compoundsmentioning

confidence: 99%

Monitoring Lichen as Indicators of Atmospheric Quality

Sujetovienė

2014

Recent Advances in Lichenology

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“…Rapid expansion of natural gas drilling throughout the intermountain region has raised important concerns about the potential ecological impact of increased N deposition associated with oil and gas extraction and processing. Analysis of lichen thalli for total nitrogen is known to accurately document N deposition Fenn et al 2008;Hyvärinen and Crittenden 1998;Root et al 2013).…”

Section: Lichens Asmentioning

confidence: 99%

“…Root et al (2013) proposed a simple model to monitor N deposition across broad spatial and topographical regions in western North America using widespread, easily recognized lichens. This approach offers particular utility to federal land managers for assessing N critical load exceedance through a cost-effective approach for assessing air quality in their management units, identifying vulnerable areas for more intensive monitoring, and directly assessing the impact of potential sources of air pollution (e.g., vehicular traffic).…”

Section: Lichens Asmentioning

confidence: 99%