@article {8837,
	title = {Small Reservoirs as Nitrogen Transformers: Accounting for Seasonal Variability in Inorganic and Organic Nitrogen Processing},
	journal = {Journal of Geophysical Research: Biogeosciences},
	volume = {12815},
	year = {2023},
	month = {Jan-11-2023},
	issn = {2169-8953},
	doi = {10.1029/2023JG007635},
	url = {https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2023JG007635},
	author = {Whitney, Christopher T. and Wollheim, Wilfred M. and Gold, Arthur J. and Buonpane, Joshua M.}
}
@article {johnston_spatial_2023,
	title = {Spatial dimensions of water quality value in New England river networks},
	journal = {Proceedings of the National Academy of Sciences},
	volume = {120},
	year = {2023},
	pages = {e2120255119},
	abstract = {Households{\textquoteright} willingness to pay (WTP) for water quality improvements{\textemdash}representing their economic value{\textemdash}depends on where improvements occur. Households often hold higher values for improvements close to their homes or iconic areas. Are there other areas where improvements might hold high value to individual households, do effects on WTP vary by type of improvement, and can these areas be identified even if they are not anticipated by researchers? To answer these questions, we integrated a water quality model and map-based, interactive choice experiment to estimate households{\textquoteright} WTP for water quality improvements throughout a river network covering six New England states. The choice experiment was implemented using a push-to-web survey over a sample of New England households. Voting scenarios used to elicit WTP included interactive geographic information system (GIS) maps that illustrated three water quality measures at various zoom levels across the study domain. We captured data on how respondents maneuvered through these maps prior to answering the value-eliciting questions. Results show that WTP was influenced by regionwide quality improvements and improvements surrounding each respondent{\textquoteright}s home, as anticipated, but also by improvements in individualized locations identifiable via each respondent{\textquoteright}s map interactions. These spatial WTP variations only appear for low-quality rivers and are focused around particular areas of New England. The study shows that dynamic map interactions can convey salient information for WTP estimation and that predicting spatial WTP heterogeneity based primarily on home or iconic locations, as typically done, may overlook areas where water quality has high value.},
	doi = {10.1073/pnas.2120255119},
	url = {https://www.pnas.org/doi/abs/10.1073/pnas.2120255119},
	author = {Johnston, Robert J. and Moeltner, Klaus and Peery, Seth and Ndebele, Tom and Yao, Zhenyu and Crema, Stefano and Wollheim, Wilfred M. and Besedin, Elena}
}
@article {wollheim_superlinear_2022,
	title = {Superlinear scaling of riverine biogeochemical function with watershed size},
	journal = {Nature Communications},
	volume = {13},
	number = {1},
	year = {2022},
	pages = {1230},
	abstract = {River networks regulate carbon and nutrient exchange between continents, atmosphere, and oceans. However, contributions of riverine processing are poorly constrained at continental scales. Scaling relationships of cumulative biogeochemical function with watershed size (allometric scaling) provide an approach for quantifying the contributions of fluvial networks in the Earth system. Here we show that allometric scaling of cumulative riverine function with watershed area ranges from linear to superlinear, with scaling exponents constrained by network shape, hydrological conditions, and biogeochemical process rates. Allometric scaling is superlinear for processes that are largely independent of substrate concentration (e.g., gross primary production) due to superlinear scaling of river network surface area with watershed area. Allometric scaling for typically substrate-limited processes (e.g., denitrification) is linear in river networks with high biogeochemical activity or low river discharge but becomes increasingly superlinear under lower biogeochemical activity or high discharge, conditions that are widely prevalent in river networks. The frequent occurrence of superlinear scaling indicates that biogeochemical activity in large rivers contributes disproportionately to the function of river networks in the Earth system.},
	issn = {2041-1723},
	doi = {10.1038/s41467-022-28630-z},
	url = {https://doi.org/10.1038/s41467-022-28630-z},
	author = {Wollheim, Wilfred M. and Harms, Tamara K. and Robison, Andrew L. and Koenig, Lauren E. and Helton, Ashley M. and Song, Chao and Bowden, William B. and Finlay, Jacques C.}
}
@article {robison_spatial_2021,
	title = {Spatial and temporal heterogeneity of methane ebullition in lowland headwater streams and the impact on sampling design},
	journal = {Limnology and Oceanography},
	volume = {66},
	number = {12},
	year = {2021},
	month = {dec},
	pages = {4063{\textendash}4076},
	issn = {0024-3590, 1939-5590},
	doi = {10.1002/lno.11943},
	url = {https://onlinelibrary.wiley.com/doi/10.1002/lno.11943},
	author = {Robison, Andrew L. and Wollheim, Wilfred M. and Turek, Bonnie and Bova, Cynthia and Snay, Carter and Varner, Ruth K.}
}
