DOI: 10.1016/j.watres.2018.01.012
Scopus记录号: 2-s2.0-85041426069
论文题名: Seasonal pattern of anthropogenic salinization in temperate forested headwater streams
作者: Timpano A.J. ; Zipper C.E. ; Soucek D.J. ; Schoenholtz S.H.
刊名: Water Research
ISSN: 431354
出版年: 2018
卷: 133 起始页码: 8
结束页码: 18
语种: 英语
英文关键词: Coal mining
; Conductivity
; Freshwater salinization
; Major ions
; Periodic functions
; Seasonality
Scopus关键词: Aquatic ecosystems
; Biodiversity
; Catchments
; Coal deposits
; Coal mines
; Electric conductivity
; River pollution
; Runoff
; Vegetation
; Water
; Coal mining
; Freshwater salinization
; Major ions
; Periodic function
; Seasonality
; Forestry
; anthropogenic effect
; aquatic ecosystem
; aquatic organism
; catchment
; coal mining
; freshwater ecosystem
; headwater
; human activity
; insect
; ion exchange
; periodicity
; salinization
; seasonal variation
; seasonality
; temperate environment
; temperate forest
; vegetation dynamics
; aquatic species
; Article
; catchment
; climate
; climate change
; coal mining
; dilution
; environmental monitoring
; evapotranspiration
; geology
; ion conductance
; model
; priority journal
; salinity
; salt stress
; seasonal variation
; species diversity
; stream (river)
; summer
; temperate deciduous forest
; United States
; vegetation dynamics
; winter
; forest
; human activities
; Kentucky
; river
; salinity
; season
; theoretical model
; Virginia
; West Virginia
; Appalachians
; United States
; Hexapoda
; salt water
; Forests
; Human Activities
; Kentucky
; Models, Theoretical
; Rivers
; Saline Waters
; Salinity
; Seasons
; Virginia
; West Virginia
英文摘要: Salinization of freshwaters by human activities is of growing concern globally. Consequences of salt pollution include adverse effects to aquatic biodiversity, ecosystem function, human health, and ecosystem services. In headwater streams of the temperate forests of eastern USA, elevated specific conductance (SC), a surrogate measurement for the major dissolved ions composing salinity, has been linked to decreased diversity of aquatic insects. However, such linkages have typically been based on limited numbers of SC measurements that do not quantify intra-annual variation. Effective management of salinization requires tools to accurately monitor and predict salinity while accounting for temporal variability. Toward that end, high-frequency SC data were collected within the central Appalachian coalfield over 4 years at 25 forested headwater streams spanning a gradient of salinity. A sinusoidal periodic function was used to model the annual cycle of SC, averaged across years and streams. The resultant model revealed that, on average, salinity deviated approximately ±20% from annual mean levels across all years and streams, with minimum SC occurring in late winter and peak SC occurring in late summer. The pattern was evident in headwater streams influenced by surface coal mining, unmined headwater reference streams with low salinity, and larger-order salinized rivers draining the study area. The pattern was strongly responsive to varying seasonal dilution as driven by catchment evapotranspiration, an effect that was amplified slightly in unmined catchments with greater relative forest cover. Evaluation of alternative sampling intervals indicated that discrete sampling can approximate the model performance afforded by high-frequency data but model error increases rapidly as discrete sampling intervals exceed 30 days. This study demonstrates that intra-annual variation of salinity in temperate forested headwater streams of Appalachia USA follows a natural seasonal pattern, driven by interactive influences on water quantity and quality of climate, geology, and terrestrial vegetation. Because climatic and vegetation dynamics vary annually in a seasonal, cyclic manner, a periodic function can be used to fit a sinusoidal model to the salinity pattern. The model framework used here is broadly applicable in systems with streamflow-dependent chronic salinity stress. © 2018 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/112932
Appears in Collections: 气候减缓与适应
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作者单位: Virginia Water Resources Research Center, Virginia Tech, 310 West Campus Dr, RM 210, Blacksburg, VA 24061, United States; Crop and Soil Environmental Sciences, Virginia Tech, 185 Ag Quad Ln, RM 416, Blacksburg, VA 24061, United States; Illinois Natural History Survey, 1816 S. Oak St, Champaign, IL 61820, United States
Recommended Citation:
Timpano A.J.,Zipper C.E.,Soucek D.J.,et al. Seasonal pattern of anthropogenic salinization in temperate forested headwater streams[J]. Water Research,2018-01-01,133