Megan Fork

Cary Institute of Ecosystem Studies | Postdoc

 Recent Activity

ABSTRACT:

This resource comprises data and R code used to analyze the chemical and physical effects of stormwater on receiving reservoir embayments in eastern TN. Data were collected from buoys in each of three embayments outfitted with high-frequency temperature and conductivity sensors. Three buoys were deployed at each embayment from July 2015 to September 2016.

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ABSTRACT:

The data provided here complement publicly available long-term data available on discharge and water chemistry from the Krycklan Catchment Study (accessible at https://franklin.vfp.slu.se/). The supplied code (R environment) was used to perform analyses and generate figures for the manuscript entitled "Changing source-transport dynamics drive differential browning trends in a boreal stream network" by Megan L. Fork, Ryan A. Sponseller, and Hjalmar Laudon.

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ABSTRACT:

These data were used to determine the annual C budget for the mean of three roofs in Durham, NC. Other data describe the fluxes of DOC and TDN from engineered headwaters for nine storms.

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Resource Resource
C budget and event-scale fluxes of DOC and TDN in urban engineered headwaters
Created: Nov. 22, 2017, 7:29 p.m.
Authors: Megan Fork · Joseph Delesantro · Joanna Blaszczak

ABSTRACT:

These data were used to determine the annual C budget for the mean of three roofs in Durham, NC. Other data describe the fluxes of DOC and TDN from engineered headwaters for nine storms.

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Resource Resource
Differential changes to DOC source-transport
Created: Sept. 12, 2019, 11:22 a.m.
Authors: Fork, Megan

ABSTRACT:

The data provided here complement publicly available long-term data available on discharge and water chemistry from the Krycklan Catchment Study (accessible at https://franklin.vfp.slu.se/). The supplied code (R environment) was used to perform analyses and generate figures for the manuscript entitled "Changing source-transport dynamics drive differential browning trends in a boreal stream network" by Megan L. Fork, Ryan A. Sponseller, and Hjalmar Laudon.

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Resource Resource
Propagation of stormwater signals in reservoirs
Created: Feb. 11, 2022, 7:50 p.m.
Authors: Fork, Megan

ABSTRACT:

This resource comprises data and R code used to analyze the chemical and physical effects of stormwater on receiving reservoir embayments in eastern TN. Data were collected from buoys in each of three embayments outfitted with high-frequency temperature and conductivity sensors. Three buoys were deployed at each embayment from July 2015 to September 2016.

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