ECHAM5.0 model: Projected shifts in fish species dominance in Wisconsin lakes under climate change

Metadata Updated: November 12, 2020

Temperate lakes may contain both coolwater fish species such as walleye (Sander vitreus) and warmwater species such as largemouth bass (Micropterus salmoides). Recent declines in walleye and increases in largemouth bass populations have raised questions regarding the future trajectories and appropriate management actions for these important species. We developed a thermodynamic model of water temperatures driven by downscaled climate data and lake specific characteristics to estimate daily water temperature profiles for 2148 lakes in Wisconsin, USA under contemporary (1989-2014) and future (2040-2064 and 2065-2089) conditions. We correlated contemporary walleye recruitment success and largemouth bass relative abundance to modeled water temperature, lake morphometry, and lake productivity, and projected lake specific changes in each species under future climate conditions. Walleye recruitment success was negatively related and largemouth bass abundance was positively related to water temperature degree days. Both species exhibited a threshold response at the same degree day value, albeit in opposite directions. Degree days were predicted to increase in the future, although the magnitude of increase varied among lakes, time periods, and global circulation models (GCMs). Under future conditions, we predicted a loss of walleye recruitment in 30-70% of lakes, and an increase to high largemouth bass relative abundance in 17-55% of additional lakes. The percentage of lakes with abundant largemouth bass and failed walleye recruitment was predicted to increase from 59% in contemporary conditions to 86% of lakes by mid-century and to 91% of lakes by late century, based on median projections across GCMs. Conversely, the number of lakes with successful walleye recruitment and low largemouth bass abundance was predicted to decline from 8.5% of lakes in contemporary conditions to only 38 1% of lakes in both future periods. Importantly, we identify nearly 100 resilient lakes predicted to continue to support walleye recruitment. Management resources could target preserving these resilient walleye populations. This data set contains the following parameters: year, WBDY_WBIC, days_12_28, height_12_28, vol_12_28, days_10.6_11.2, height_10.6_11.2, vol_10.6_11.2, days_18.2_28.2, height_18.2_28.2, vol_18.2_28.2, days_18_22, height_18_22, vol_18_22, days_19.3_23.3, height_19.3_23.3, vol_19.3_23.3, days_19_23, height_19_23, vol_19_23, days_20.6_23.2, height_20.6_23.2, vol_20.6_23.2, days_20_30, height_20_30, vol_20_30, days_21_100, days_22_23, height_22_23, vol_22_23, days_23_31, height_23_31, vol_23_31, days_25_29, height_25_29, vol_25_29, days_26.2_32, height_26.2_32, vol_26.2_32, days_26_28, height_26_28, vol_26_28, days_26_30, height_26_30, vol_26_30, days_28_29, height_28_29, vol_28_29, days_28_32, height_28_32, vol_28_32, days_29_100, height_29_100, vol_29_100, days_30_31, height_30_31, vol_30_31, durStrat, winter_dur_0-4, spring_days_in_10.5_15.5, mean_surf_jul, mean_surf_JAS, peak_temp, post_ice_warm_rate, SthermoD_mean, dateOver21, dateOver18, , dateOver8.9, SmetaTopD_mean, SmetaBotD_mean, coef_var_30_60, coef_var_0_30, mean_epi_hypo_ratio, mean_epi_vol, mean_hyp_vol, simulation_length_days, volume_mean_m_3, volume_sum_m_3_day, GDD_wtr_10c, GDD_wtr_5c, optic_hab_8_64, thermal_hab_11_25, optic_thermal_hab, optic_hab_8_64_surf, thermal_hab_11_25_surf, optic_thermal_hab_surf calculated for 2148 lakes

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License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Metadata Date June 24, 2016
Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020
Reference Date(s) January 1, 2016 (publication)
Frequency Of Update notPlanned

Metadata Source

Harvested from DOI Open Data

Additional Metadata

Resource Type Dataset
Metadata Date June 24, 2016
Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020
Reference Date(s) January 1, 2016 (publication)
Responsible Party U.S. Geological Survey (Point of Contact)
Contact Email
Access Constraints Use Constraints: These data are subject to change and are not citable until reviewed and approved for official publication by the USGS, Access Constraints: none
Bbox East Long -86.937
Bbox North Lat 46.853
Bbox South Lat 42.489
Bbox West Long -92.814
Coupled Resource
Frequency Of Update notPlanned
Licence Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.
Metadata Language
Metadata Type geospatial
Progress completed
Spatial Data Service Type
Spatial Reference System
Spatial Harvester True
Temporal Extent Begin 1989-01-01
Temporal Extent End 2089-12-31

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