کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
86430 159187 2015 9 صفحه PDF سفارش دهید دانلود رایگان
عنوان انگلیسی مقاله ISI
Deep soil: Quantification, modeling, and significance of subsurface nitrogen
ترجمه فارسی عنوان
خاک عمیق: کافی، مدل سازی و اهمیت نیتروژن زیرزمینی
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کلمات کلیدی
خاک عمیق، نیتروژن دوچرخه سواری، خاک جنگل، صنوبر داگلاس، مدیریت جنگل، عمق نمونه برداری
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک بوم شناسی، تکامل، رفتار و سامانه شناسی
چکیده انگلیسی


• Pacific Northwest forest soils carry 49% of soil N below 0.5 m, on average.
• Andisols contained more N on average than Ultisols, Inceptisols, and Alfisols.
• A mathematical model estimated soil N to 2.5 m with 7.6% error given data to 1.5 m.
• Sampling shallower than 2.0 m resulted in significantly smaller total N.
• Shallow sampling could lead to biased results and misleading conclusions.

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 0.2 m, occasionally to 1.0 m 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 0.1 m, 0.5 m, 1.0 m, 1.5 m, 2.0 m, and 2.5 m. Mineral soil was screened to 4.75 mm and analyzed for total N content. Systematic sampling shallower than 2.0 m produced significantly smaller estimates of total N. On average, only 3% of total soil N was in the O horizon, and 31% was below 1.0 m depth (almost 2700 kg ha−1 of N). Over 45% of soil N was below 1.0 m at three sites. A nonlinear mixed effect model using the Langmuir equation predicted total N to 2.5 m with −12.4% mean error given data to 1.0 m, and −7.6% mean error with data to 1.5 m. 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.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Forest Ecology and Management - Volume 336, 15 January 2015, Pages 194–202
نویسندگان
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