Deep soil: Quantification, modeling, and significance of subsurface nitrogen

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversity of Washington, School of Environmental and Forest Sciences-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorJames, Jason-
Autor(es): dc.creatorKnight, Erika-
Autor(es): dc.creatorGamba, Vitor [UNESP]-
Autor(es): dc.creatorHarrison, Rob-
Data de aceite: dc.date.accessioned2022-08-04T22:04:18Z-
Data de disponibilização: dc.date.available2022-08-04T22:04:18Z-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2015-01-05-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1016/j.foreco.2014.10.010-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/220251-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/220251-
Descrição: dc.descriptionNitrogen (N) is one of the primary limiting nutrients in Pacific Northwest forests, as well as many other terrestrial ecosystems around the world. Efforts to quantify total soil N and to monitor N cycling have often sampled soils to a depth of 0.2m, occasionally to 1.0m depth, or the bottom of the B horizon. However, tree roots often extend many meters into the soil redistributing water to the surface during droughts and contributing to nutrient uptake. This study examined the systematic sampling depth for ecosystem N analyses in the Pacific Northwest, and compared best-fit models of N in deep soil layers with observed quantities. At 22 sites across the Pacific Northwest Douglas-fir zone, O horizon and mineral soil bulk density samples were collected at depths of 0.1m, 0.5m, 1.0m, 1.5m, 2.0m, and 2.5m. Mineral soil was screened to 4.75mm and analyzed for total N content. Systematic sampling shallower than 2.0m produced significantly smaller estimates of total N. On average, only 3% of total soil N was in the O horizon, and 31% was below 1.0m depth (almost 2700kgha-1 of N). Over 45% of soil N was below 1.0m at three sites. A nonlinear mixed effect model using the Langmuir equation predicted total N to 2.5m with -12.4% mean error given data to 1.0m, and -7.6% mean error with data to 1.5m. Shallow sampling of soil N in studies of biogeochemical cycling, forest management impacts, or ecosystem monitoring at best provides a biased estimate and at worst produces misleading conclusions. Research and monitoring efforts seeking to quantify soil N or measure fluxes should sample deep soil to create a more complete picture of soil pools and changes over time.-
Descrição: dc.descriptionUniversity of Washington, School of Environmental and Forest Sciences, Box 352100-
Descrição: dc.descriptionSão Paulo State University, College of Agricultural Sciences-
Descrição: dc.descriptionSão Paulo State University, College of Agricultural Sciences-
Formato: dc.format194-202-
Idioma: dc.languageen-
Relação: dc.relationForest Ecology and Management-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectDeep soil-
Palavras-chave: dc.subjectDouglas-fir-
Palavras-chave: dc.subjectForest management-
Palavras-chave: dc.subjectForest soil-
Palavras-chave: dc.subjectNitrogen cycling-
Palavras-chave: dc.subjectSampling depth-
Título: dc.titleDeep soil: Quantification, modeling, and significance of subsurface nitrogen-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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