dc.contributorUniversity of Washington, School of Environmental and Forest Sciences
dc.contributorUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2022-04-28T19:00:29Z
dc.date.accessioned2022-12-20T00:57:04Z
dc.date.available2022-04-28T19:00:29Z
dc.date.available2022-12-20T00:57:04Z
dc.date.created2022-04-28T19:00:29Z
dc.date.issued2015-01-05
dc.identifierForest Ecology and Management, v. 336, p. 194-202.
dc.identifier0378-1127
dc.identifierhttp://hdl.handle.net/11449/220251
dc.identifier10.1016/j.foreco.2014.10.010
dc.identifier2-s2.0-84909592162
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5400380
dc.description.abstractNitrogen (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.
dc.languageeng
dc.relationForest Ecology and Management
dc.sourceScopus
dc.subjectDeep soil
dc.subjectDouglas-fir
dc.subjectForest management
dc.subjectForest soil
dc.subjectNitrogen cycling
dc.subjectSampling depth
dc.titleDeep soil: Quantification, modeling, and significance of subsurface nitrogen
dc.typeArtículos de revistas


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