Modeling Phosphorus Capture by Plants Growing in a Multispecies Riparian Buffer
Joint Authors
Source
Applied and Environmental Soil Science
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-07-15
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Earth Science , Water and Environment
Abstract EN
The NST 3.0 mechanistic nutrient uptake model was used to explore P uptake to a depth of 120 cm over a 126 d growing season in simulated buffer communities composed of mixtures of cottonwood (Populus deltoids Bartr.), switchgrass (Panicum virgatum L.), and smooth brome (Bromus inermis Leyss).
Model estimates of P uptake from pure stands of smooth brome and cottonwood were 18.9 and 24.5 kg ha−1, respectively.
Uptake estimates for mixed stands of trees and grasses were intermediate to pure stands.
A single factor sensitivity analysis of parameters used to calculate P uptake for each cover type indicated that Imax, k, ro, and Lo were consistently the most responsive to changes ranging from −50% to +100%.
Model exploration of P uptake as a function of soil depth interval indicated that uptake was highest in the 0–30 cm intervals, with values ranging from 85% of total for cottonwood to 56% for switchgrass.
American Psychological Association (APA)
Kelly, J. M.& Kovar, J. L.. 2012. Modeling Phosphorus Capture by Plants Growing in a Multispecies Riparian Buffer. Applied and Environmental Soil Science،Vol. 2012, no. 2012, pp.1-7.
https://search.emarefa.net/detail/BIM-502191
Modern Language Association (MLA)
Kelly, J. M.& Kovar, J. L.. Modeling Phosphorus Capture by Plants Growing in a Multispecies Riparian Buffer. Applied and Environmental Soil Science No. 2012 (2012), pp.1-7.
https://search.emarefa.net/detail/BIM-502191
American Medical Association (AMA)
Kelly, J. M.& Kovar, J. L.. Modeling Phosphorus Capture by Plants Growing in a Multispecies Riparian Buffer. Applied and Environmental Soil Science. 2012. Vol. 2012, no. 2012, pp.1-7.
https://search.emarefa.net/detail/BIM-502191
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-502191