کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6292963 | 1617131 | 2016 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Optimizing the bioindication of forest soil acidity, nitrogen and mineral nutrition using plant species
ترجمه فارسی عنوان
بهینه سازی زیست شناسی اسیدیته خاک، نیتروژن و مواد معدنی با استفاده از گونه های گیاهی
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
بوم شناسی، تکامل، رفتار و سامانه شناسی
چکیده انگلیسی
The number rather than the percentage of total plot species used for the estimations was determinant for the prediction of soil pH quality. Performance of bioindication of pH, BS and C:N reached the maximum R2 using the first 20-25 species recorded per plot, corresponding to a 14-min-long floristic inventory in comparison to a mean of 28Â min spent to carry out a complete floristic inventory. A precision of prediction of 80% of the maximal precision was obtained after 4-5Â min (6-12 inventoried species) for the three studied variables. These results are independent of the nutritional capability of the soils and were similar at the national and local scales. In order to estimate soil nutritional resources by plant bioindication, it is feasible to significantly reduce the time spent on floristic inventories and, thus, their cost. This is especially useful when the goal is to map the soil quality for decision-making in forest management.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ecological Indicators - Volume 71, December 2016, Pages 359-367
Journal: Ecological Indicators - Volume 71, December 2016, Pages 359-367
نویسندگان
Paulina E. Pinto, Jean-Luc Dupouey, Jean-Christophe Hervé, Myriam Legay, Stephanie Wurpillot, Pierre Montpied, Jean-Claude Gégout,