DOI: 10.1007/s10533-017-0305-1
Scopus记录号: 2-s2.0-85015223750
论文题名: A spatially explicit statistical model to quantify nutrient sources, pathways, and delivery at the regional scale
作者: Luscz E.C. ; Kendall A.D. ; Hyndman D.W.
刊名: Biogeochemistry
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 133, 期: 1 起始页码: 37
结束页码: 57
语种: 英语
英文关键词: Nutrient loading
; Nutrient sources
; Watershed modeling
Scopus关键词: baseflow
; nutrient availability
; nutrient enrichment
; phosphorus
; source apportionment
; spatial analysis
; spatial distribution
; trade-off
; watershed
; Michigan
; United States
; algae
英文摘要: Nutrient loading has been linked to many issues including eutrophication, harmful algal blooms, and decreases in aquatic species diversity. In order to develop mitigation strategies to control nutrient sources, the relative contribution and spatial distribution of nutrient sources must be quantified. Though many watershed nutrient models exist in the literature, there is generally a tradeoff between the scale of the model and the level of detail regarding the individual sources of nutrients and basin transport and fate characteristics. To examine the link between watershed nutrient sources, landscape processes, and in-stream loads in the Lower Peninsula of Michigan, a spatially explicit nutrient loading model was developed. The model uses spatially explicit descriptions of nutrient sources and a novel statistical model describing spatially-explicit nutrient attenuation along transport pathways to predict total nitrogen and phosphorus loads. Observations collected during baseflow and melt conditions from 2010–2012 were used to calibrate and validate the model. The model predicts nutrient loads, provides information on the sources of nutrients within each watershed, and estimates the relative contribution of different sources to the overall nutrient load. The model results indicate that there is a high degree of variability in seasonal nutrient export rates, which can be significantly greater during snow melt conditions than during baseflow. In addition, the model highlights the considerable variability in seasonal pathways and processes that impact nutrient delivery. The model performance compares favorably to other regional scale nutrient models. This work has the potential to provide valuable information to environmental managers regarding how and where to target efforts to reduce nutrient loads in surface water. © 2017, Springer International Publishing Switzerland. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/83293
Appears in Collections: 气候减缓与适应 气候变化事实与影响
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作者单位: Department of Earth and Environmental Sciences, Michigan State University, 288 Farm Lane, Room 207, East Lansing, MI, United States
Recommended Citation:
Luscz E.C.,Kendall A.D.,Hyndman D.W.. A spatially explicit statistical model to quantify nutrient sources, pathways, and delivery at the regional scale[J]. Biogeochemistry,2017-01-01,133(1)