A Spatially Explicit Watershed‐scale Analysis of Dissolved Organic Carbon in Adirondack Lakes

Canham, Charles D.; Pace, Michael L.; Papaik, Michael J.; Primack, Avram; Roy, Karen M.; Maranger, Roxane; Curran, Raymond P.; Spada, Daniel M.

doi:10.1890/02-5271

Cited by 111 publications

(132 citation statements)

References 57 publications

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“…The same was observed for DOC in this region (Canham et al 2004). On average, forests represented 87% of the watershed cover in our survey area and accounted for on average 75% of the Fe loading to the 93 lakes.…”

Section: Discussionsupporting

confidence: 79%

“…The estimated loading of DOC per unit area per year is remarkably similar among the different shrub wetlands types in these same Adirondack lakes (Canham et al 2004), so a 50-fold difference in Fe loading among these different wetland types was unexpected. However, the large differences in loading are consistent with the lack of a relationship between percentage of wetland cover and total lake Fe concentration.…”

Section: Discussionmentioning

confidence: 94%

“…Following the approach used by Canham et al (2004), the total amount of Fe tϩ1 in a lake at any given time can be described in terms of a difference equation:…”

Section: Methodsmentioning

confidence: 99%

“…The classification delineated upland (Canham et al 2004). To keep the number of cover types manageable, we aggregated the upland vegetation into just two classes: forest and nonforest (''open'') vegetation.…”

Section: Methodsmentioning

confidence: 99%

“…Here we report estimates of Fe loading from both wetland and upland cover types in the watershed. We examine whether export from wetlands is higher than from upland cover types, given the links between Fe and colored DOC (Rasmussen et al 1989;Maranger and Pullin 2003) and the higher rates of DOC export reported from wetlands (Rasmussen et al 1989;Gergel et al 1999;Canham et al 2004). We also examine whether export rates differ among wetland types and as a function of hydrologic conditions within the wetlands, assuming conditions promoting reduced oxygen concentrations and low redox potential should favor Fe release.…”

mentioning

confidence: 99%

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A spatially explicit model of iron loading to lakes

et al. 2006

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Terrestrial and aquatic ecosystems are intimately linked by the export of elements from watersheds. Although export is influenced by land cover within watersheds, few models evaluate how the spatial configuration of land cover influences loading. In this study we examined spatial variation of land cover at a 10 ϫ 10 m resolution by developing a mass balance, maximum likelihood model of lake iron (Fe) concentrations in 93 watersheds. The model estimated lake iron concentrations based on loading, within-lake processes and losses. Two models were developed. One considered loading from eight land cover types, whereas the second model included the distance of each grid cell to account for Fe losses along flow paths to the lake. In-lake production and losses were accounted for as a function of lake area, water color, and discharge. If we treated watersheds as homogeneous source areas, export was estimated as 450 mg Fe m Ϫ2 yr Ϫ1 ; however, in spatial models export varied from negligible to 5,400 mg Fe m Ϫ2 yr Ϫ1 based on differential loadings from eight cover types. Accounting for losses of Fe based on distance from the lake did not improve the model. Although areal export of Fe was greater from wetlands, upland forests dominate the landscape and thus accounted for on average 75% of the total Fe load. Fe losses from lakes were primarily regulated by discharge; however, water color and lake depth were also important. Overall, the analysis revealed that lake Fe concentrations are related to land cover based on strong differential Fe loadings.

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Section: Discussionsupporting

confidence: 79%

Section: Discussionmentioning

confidence: 94%

“…Following the approach used by Canham et al (2004), the total amount of Fe tϩ1 in a lake at any given time can be described in terms of a difference equation:…”

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

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A spatially explicit model of iron loading to lakes

et al. 2006

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Modeling methane emissions from arctic lakes: Model development and site‐level study

Tan

Zhuang

Anthony

2015

J Adv Model Earth Syst

152

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To date, methane emissions from lakes in the pan-arctic region are poorly quantified. In order to investigate the response of methane emissions from this region to global warming, a process-based climate-sensitive lake biogeochemical model was developed. The processes of methane production, oxidation, and transport were modeled within a one-dimensional sediment and water column. The sizes of 14 C-enriched and 14 C-depleted carbon pools were explicitly parameterized. The model was validated using observational data from five lakes located in Siberia and Alaska, representing a large variety of environmental conditions in the arctic. The model simulations agreed well with the measured water temperature and dissolved CH 4 concentration (mean error less than 1 C and 0.2 lM, respectively). The modeled CH 4 fluxes were consistent with observations in these lakes. We found that bubbling-rate-controlling nitrogen (N 2 ) stripping was the most important factor in determining CH 4 fraction in bubbles. Lake depth and ice cover thickness in shallow waters were also controlling factors. This study demonstrated that the thawing of Pleistocene-aged organic-rich yedoma can fuel sediment methanogenesis by supplying a large quantity of labile organic carbon. Observations and modeling results both confirmed that methane emission rate at thermokarst margins of yedoma lakes was much larger (up to 538 mg CH 4 m 22 d 21 ) than that at nonthermokarst zones in the same lakes and a nonyedoma, nonthermokarst lake (less than 42 mg CH 4 m 22 d 21 ).The seasonal variability of methane emissions can be explained primarily by energy input and organic carbon availability.

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Dissolved organic carbon uptake in streams: A review and assessment of reach‐scale measurements

et al. 2016

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Quantifying the role that freshwater ecosystems play in the global carbon cycle requires accurate measurement and scaling of dissolved organic carbon (DOC) removal in river networks. We reviewed reach‐scale measurements of DOC uptake from experimental additions of simple organic compounds or leachates to inform development of aquatic DOC models that operate at the river network, regional, or continental scale. Median DOC uptake velocity (vf) across all measurements was 2.28 mm min−1. Measurements using simple compound additions resulted in faster vf (2.94 mm min−1) than additions of leachates (1.11 mm min−1). We also reviewed published data of DOC bioavailability for ambient stream water and leaf leachate DOC from laboratory experiments. We used these data to calculate and apply a correction factor to leaf leachate uptake velocity to estimate ambient stream water DOC uptake rates at the reach scale. Using this approach, we estimated a median ambient stream DOC vf of 0.26 mm min−1. Applying these DOC vf values (0.26, 1.11, 2.28, and 2.94 mm min−1) in a river network inverse model in seven watersheds revealed that our estimated ambient DOC vf value is plausible at the network scale and 27 to 45% of DOC input was removed. Applying the median measured simple compound or leachate vf in whole river networks would require unjustifiably high terrestrial DOC inputs to match observed DOC concentrations at the basin mouth. To improve the understanding and importance of DOC uptake in fluvial systems, we recommend using a multiscale approach coupling laboratory assays, with reach‐scale measurements, and modeling.

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A Spatially Explicit Watershed‐scale Analysis of Dissolved Organic Carbon in Adirondack Lakes

Cited by 111 publications

References 57 publications

A spatially explicit model of iron loading to lakes

A spatially explicit model of iron loading to lakes

Modeling methane emissions from arctic lakes: Model development and site‐level study

Dissolved organic carbon uptake in streams: A review and assessment of reach‐scale measurements

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