Publicação: Deep soil: Quantification, modeling, and significance of subsurface nitrogen
dc.contributor.author | James, Jason | |
dc.contributor.author | Knight, Erika | |
dc.contributor.author | Gamba, Vitor [UNESP] | |
dc.contributor.author | Harrison, Rob | |
dc.contributor.institution | University of Washington, School of Environmental and Forest Sciences | |
dc.contributor.institution | Universidade Estadual Paulista (UNESP) | |
dc.date.accessioned | 2022-04-28T19:00:29Z | |
dc.date.available | 2022-04-28T19:00:29Z | |
dc.date.issued | 2015-01-05 | |
dc.description.abstract | Nitrogen (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. | en |
dc.description.affiliation | University of Washington, School of Environmental and Forest Sciences, Box 352100 | |
dc.description.affiliation | São Paulo State University, College of Agricultural Sciences | |
dc.description.affiliationUnesp | São Paulo State University, College of Agricultural Sciences | |
dc.format.extent | 194-202 | |
dc.identifier | http://dx.doi.org/10.1016/j.foreco.2014.10.010 | |
dc.identifier.citation | Forest Ecology and Management, v. 336, p. 194-202. | |
dc.identifier.doi | 10.1016/j.foreco.2014.10.010 | |
dc.identifier.issn | 0378-1127 | |
dc.identifier.scopus | 2-s2.0-84909592162 | |
dc.identifier.uri | http://hdl.handle.net/11449/220251 | |
dc.language.iso | eng | |
dc.relation.ispartof | Forest Ecology and Management | |
dc.source | Scopus | |
dc.subject | Deep soil | |
dc.subject | Douglas-fir | |
dc.subject | Forest management | |
dc.subject | Forest soil | |
dc.subject | Nitrogen cycling | |
dc.subject | Sampling depth | |
dc.title | Deep soil: Quantification, modeling, and significance of subsurface nitrogen | en |
dc.type | Artigo | |
dspace.entity.type | Publication |