Climate change‐legacy phosphorus synergy hinders lake response to aggressive water policy targets


TitleClimate change‐legacy phosphorus synergy hinders lake response to aggressive water policy targets
Publication TypeJournal Article
Year of Publication2022
AuthorsZia, A, Schroth, AW, Hecht, JS, Isles, PDF, Clemins, PJ, Turnbull, S, Bitterman, P, Tsai, Y-S, Mohammed, IN, Bucini, G, Doran, EMB, Koliba, C, Bomblies, A, Beckage, B, Winter, JM, Adair, EC, Rizzo, DM, Gibson, W, Pinder, GF
JournalEarth's Future
Volume10
Issue5
Paginatione2021EF002234
Date Published2022/05
ISSN2328-4277
Abstract

With mounting scientific evidence demonstrating adverse global climate change (GCC) impacts to water quality, water quality policies, such as the Total Maximum Daily Loads (TMDLs) under the U.S. Clean Water Act, have begun accounting for GCC effects in setting nutrient load-reduction policy targets. These targets generally require nutrient reductions for attaining prescribed water quality standards (WQS) by setting safe levels of nutrient concentrations that curtail potentially harmful cyanobacteria blooms (CyanoHABs). While some governments require WQS to consider climate change, few tools are available to model the complex interactions between climate change and benthic legacy nutrients. We present a novel process-based integrated assessment model (IAM) that examines the extent to which synergistic relationships between GCC and legacy Phosphorus release could compromise the ability of water quality policies to attain established WQS. The IAM is calibrated for simulating the eutrophic Missisquoi Bay and watershed in Lake Champlain (2001-2050). Water quality impacts of seven P-reduction scenarios, including the 64.3% reduction specified under the current TMDL, were examined under 17 GCC scenarios. The TMDL WQS of 0.025 mg/L total phosphorus is unlikely to be met by 2035 under the mandated 64.3% reduction for all GCC scenarios. IAM simulations show that the frequency and severity of summer CyanoHABs increased or minimally decreased under most climate and nutrient reduction scenarios. By harnessing IAMs that couple complex process-based simulation models, the management of water quality in freshwater lakes can become more adaptive through explicit accounting of GCC effects on both the external and internal sources of nutrients.

URLhttps://onlinelibrary.wiley.com/doi/10.1029/2021EF002234
DOI10.1029/2021EF002234
Short TitleEarth's Future
Refereed DesignationRefereed
Status: 
Published
Attributable Grant: 
BREE
Grant Year: 
Year7 StatusChanged
Acknowledged VT EPSCoR: 
Ack-Yes
2nd Attributable Grant: 
RACC
2nd Grant Year: 
2nd_Post_Grant
2nd Acknowledged Grant: 
2nd_Ack-Yes