globalchange  > 气候变化事实与影响
DOI: 10.1016/j.jag.2013.05.012
Scopus记录号: 2-s2.0-84897874688
论文题名:
Does the spatial arrangement of disturbance within forested watersheds affect loadings of nitrogen to stream waters? A test usingLandsat and synoptic stream water data
作者: Cowles T; R; , McNeil B; E; , Eshleman K; N; , Deela N; , Townsendc P; A
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 26, 期:1
起始页码: 80
结束页码: 87
语种: 英语
英文关键词: Defoliation ; Forest disturbance ; Gypsy moth ; Landsat ; Nitrogen ; Spatial arrangement
Scopus关键词: defoliation ; environmental disturbance ; Landsat thematic mapper ; MODIS ; moth ; nitrogen ; remote sensing ; spatial analysis ; streamwater ; watershed ; Maryland ; Savage River ; United States
英文摘要: Remotely sensed maps of forest disturbance provide a powerful tool for predicting spatial and tempo-ral variability in the loading of nitrogen to receiving waters, key data needed for effective watershedmanagement of nutrient pollution. We hypothesize that the spatial arrangement of disturbances withinsmall-forested watersheds can affect N loadings. To test this, we developed schemes for spatially weight-ing maps of yearly disturbance produced through change analysis of the Landsat Tasseled Cap DisturbanceIndex (DI), and evaluated the ability of each scheme to predict N concentrations, and subsequently esti-mated N loads, from forty low-order streams within the Savage River drainage of western Maryland,USA during the 2006-2010 water years, a period encompassing extensive defoliations by gypsy moths(Lymantria dispar). We generated a base scheme of unweighted, watershed averaged change in DI (δDI),and five other schemes that weighted δDI by either a pixel's flow accumulation value, the distance tothe watershed outlet, or proximity to the stream. Over the five years, the flow accumulation schemetended to perform better than other weighting schemes, and even explained slightly more variabilitythan the base scheme during years of moderate N loads (R2= 0.15 vs. 0.03 in 2007 and R2= 0.30 vs. 0.18 in2010). However, this best spatial weighting scheme explained comparable or less variability during thetwo post-defoliation years with larger N loads (R2= 0.43 vs. 0.44 in 2008 and R2= 0.31 vs. 0.48 in 2009).Thus, for the purposes of utilizing remote sensing information within watershed management of nutrientpollution, these results suggest that coarse-scale, high temporal frequency data such as MODIS could bewell suited for characterizing forest disturbance and predicting the resultant episodic N loads. © 2013 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79718
Appears in Collections:气候变化事实与影响

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作者单位: West Virginia University, Department of Geology and Geography, P.O. Box 6300, Morgantown, WV 26506, United States; University of Maryland, Center for Environmental Science, Appalachian Laboratory, 301 Braddock Road, Frostburg, MD 21532, United States; University of Wisconsin-Madison, Department of Forest and Wildlife Ecology, 1630 Linden Drive, Madison, WI 53706, United States; Department of Geography, University of Idaho, P.O. Box 443021, Moscow, ID 83844-3021, United States

Recommended Citation:
Cowles T,R,, McNeil B,et al. Does the spatial arrangement of disturbance within forested watersheds affect loadings of nitrogen to stream waters? A test usingLandsat and synoptic stream water data[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,26(1)
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