We demonstrate a novel, spatially explicit assessment of the current condition of aquatic ecosystem services, with limited sensitivity analysis for the atmospheric contaminant mercury. The Integrated Ecological Modeling System (IEMS) forecasts water quality and quantity, habitat suitability for aquatic biota, fish biomasses, population densities, productivities, and contamination by methylmercury across headwater watersheds. We applied this IEMS to the Coal River Basin (CRB), West Virginia (USA), an 8-digit hydrologic unit watershed, by simulating a network of 97 stream segments using the SWAT watershed model, a watershed mercury loading model, the WASP water quality model, the PiSCES fish community estimation model, a fish habitat suitability model, the BASS fish community and bioaccumulation model, and an ecoservices post-processer. Model application was facilitated by automated data retrieval and model setup and updated model wrappers and interfaces for data transfers between these models from a prior study. This companion study evaluates baseline predictions of ecoservices provided for 1990–2010 for the population of streams in the CRB and serves as a foundation for future model development. This dataset is associated with the following publication: Johnston , J., C. Barber , K. Wolfe , M. Galvin , M. Cyterski , and R. Parmar. An integrated ecological modeling system for assessing impacts of multiple stressors on stream and riverine ecosystem services within river basins. ECOLOGICAL MODELLING. Elsevier Science BV, Amsterdam, NETHERLANDS, 354: 104-114, (2017).

The qualitative model that is being developed for the estuarine ecosystem of the Swan River Estuary will be used to explore how environmental change due to both anthropogenic and non-anthropogenic factors is likely to affect the ecosystem and to assess the potential for management action to ameliorate adverse impacts. The study is part of a broader qualitative modelling study, initiated by WAMSI, that encompasses the Swan River Estuary, the Peel-Harvey Estuary and the Leschenault Estuary.

The qualitative model that is being developed for the estuarine ecosystem of the Leschenault Estuary will be used to explore how environmental change due to both anthropogenic and non-anthropogenic factors is likely to affect the ecosystem and to assess the potential for management action to ameliorate adverse impacts. The study is part of a broader qualitative modelling study, initiated by WAMSI, that encompasses the Swan River Estuary, the Peel-Harvey Estuary and the Leschenault Estuary.

This data set compiles regulatory information about river and stream impairments within the Chesapeake Bay watershed as part of a Chesapeake Bay watershed multi-stressor meta-analysis project. Data are contained in a single combined and name-harmonized dataset originating from a snapshot of the Environmental Protection Agency's Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) obtained in Spring of 2020. These data were clipped to only waterbodies contained in the Chesapeake Bay watershed and were designated to be free-flowing (e.g., rivers and streams). This compiled dataset contains information on a waterbody's designated uses, parameter impairments, and potential sources of that impairment. Be aware, as data on potential sources were joined to parameter impairments in a "one-parameter to many-sources" format, individual impairments might have multiple rows in this dataset, with one row for each potential source. Use of this dataset to evaluate only unique parameter impairments necessitates retaining only unique parameter and assessment unit information.

Two modelling approaches are being used in this study, i.e. a quantitative modelling and a qualitative modelling approach. They are being developed for the estuarine ecosystems of the Swan River, Peel-Harvey and Leschenault estuaries will be used to explore how environmental changes arising from both anthropogenic and non-anthropogenic factors are likely to affect those ecosystems. The models will also be used to assess the potential to ameliorate adverse impacts through management actions

Stream flows are essential for maintaining healthy aquatic ecosystems and for supporting human water supply needs. Integrated modeling approaches assessing the impact of changes in climate, land use, and water withdrawals on stream flows and the subsequent impact of changes in flow regime on aquatic biota at multiple spatial scales are necessary to insure an adequate supply of water for humans and healthy river ecosystems. This spreadsheet contains an inventory of existing hydrologic models in the Southeast region and Puerto Rico. Data were compiled by contacting federal and state agencies, members of academia, and environmental consultants.

Stream flows are essential for maintaining healthy aquatic ecosystems and for supporting human water supply needs. Integrated modeling approaches assessing the impact of changes in climate, land use, and water withdrawals on stream flows and the subsequent impact of changes in flow regime on aquatic biota at multiple spatial scales are necessary to insure an adequate supply of water for humans and healthy river ecosystems. We compared streamflow predictions from a regional-scale hydrological model to those of several fine-scale SW models under a range of hypothetical climate change scenarios to determine the range of predicted streamflow responses to fixed climate perturbations.This spreadsheet contains the results of a study investigating the sensitivity of predicted discharge to changes in precipitation and temperature inputs for a coarse scale (WaSSI) and three fine scale (HSPF, SWAT, WaterFALL) hydrologic models at a single site (02347500, FLINT RIVER AT US 19, NEAR CARSONVILLE, GA) from 1981 to 1999. The objective of this study was to demonstrate the feasibility of using regional and local scale models to identify unique areas of concern and understand fine scale hydrologic dynamics under climate change. Descriptions of the models and results of the study are detailed in the final report.

Stream flows are essential for maintaining healthy aquatic ecosystems and for supporting human water supply needs. Integrated modeling approaches assessing the impact of changes in climate, land use, and water withdrawals on stream flows and the subsequent impact of changes in flow regime on aquatic biota at multiple spatial scales are necessary to insure an adequate supply of water for humans and healthy river ecosystems. This report inventories and then directly examines and compares a subset of hydrological models implemented in the Southeastern US that were used to estimate streamflow at a number of gaged basins across the region. This effort was designed to evaluate, quantify and compare the magnitude, and investigate the potential causes of error, associated with predicted streamflows from seven hydrologic models of varying complexity and calibration strategy. This was accomplished by computing and then comparing classical hydrologic model fit statistics (e.g., mean bias, coefficient of determination, root mean squared error, NSE), and understanding the bias in the prediction in these and a subset of ecologically relevant flow metrics (ERFM).This spreadsheet contains model fit statistics for the model comparison workshop across 195 USGS streamflow gauges in the southeast. Descriptions of the models included are detailed in the final report.