Predicting export of dissolved organic carbon from forested catchments in glaciated landscapes with shallow soils

被引:111
作者
Creed, I. F. [1 ]
Beall, F. D. [2 ]
Clair, T. A. [3 ]
Dillon, P. J. [4 ]
Hesslein, R. H. [5 ]
机构
[1] Univ Western Ontario, Dept Biol, London, ON N6A 5B7, Canada
[2] Sault Ste, Natl Resources Canada, Marie, ON P6A 2E5, Canada
[3] Environm Canada, Sackville, NB E4L 1G6, Canada
[4] Trent Univ, Environm & Resource Studies, Peterborough, ON K9J 7B8, Canada
[5] Dept Fisheries & Oceans Canada, Winnipeg, MB R3T 2N6, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
D O I
10.1029/2008GB003294
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study presents a simple model of dissolved organic carbon (DOC) loading to surface waters that is applicable to headwater catchments in forested regions on glaciated landscapes. Average annual DOC export was highly variable among the 33 experimental catchments along an east-west transect, ranging from 0.90 to 13.74 g C/m(2)/a. It was hypothesized that the proportion of wetlands within the catchments would explain the majority of variation in average annual DOC export. To test this hypothesis, digital terrain analysis was used to derive wetlands automatically under both open and closed forest canopies by identifying the probability of a grid cell being a depression and/or flat. Using a 10 m digital elevation model (DEM) derived from readily available sources, the proportion of wetlands explained 63% of the variance in average annual DOC export among the 33 experimental catchments. Inclusion of regional climatic indicators, including the number of growing degree days (with a base of 10 degrees C) and the runoff coefficient, increased explanation of variance from 63% to 89%, once catchments with lakes (>5% of catchment area) adjacent to the catchment outlets were removed. This study shows that DOC export can be predicted accurately from headwater catchments in forested regions on glaciated landscapes using a simple model based on the proportion of wetlands and easily calculated climatic variables.
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页数:14
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