Data in support of: Quantifying resilience of coldwater habitat to climate and land use change to prioritize watershed conservation

Hansen, Gretchen JA
Wehrly, Kevin E
Vitense, Kelsey
Walsh, Jacob R
Jacobson, Peter C
2021-08-06
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https://doi.org/10.13020/F1DN-MQ40
 https://hdl.handle.net/11299/223057.1
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Data in support of: Quantifying resilience of coldwater habitat to climate and land use change to prioritize watershed conservation

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2021-08-06

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University of Minnesota Department of Fisheries, Wildlife, Conservation Biology
Minnesota Department of Natural Resources
Michigan Department of Natural Resources

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Hansen, Gretchen
ghansen@umn.edu

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Field Study Data
Observational Data
Simulation Data
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Survey Data-Quantitative

Abstract

Data for 12,450 lakes in the Upper Midwestern United States used to predict coldwater, oxygenated habitat and how it is predicted to change under scenarios of climate and land use change. Specific fields include lake size, depth, watershed landuse, air temperature characteristics, and presence of the coldwater fish Cisco (Coregonus artedi). Also included are projected air temperatures under mid-Century conditions for each lake.

Description

File List A. Filename: Data - MGLP TDOx Models2.csv Short description: lake characteristics of glacial lakes in the upper Midwestern United States used for estimating coldwater habitat. B. Filename: mid_century_means_by_gcm_cisco_lakes.csv Short description: Projected mean July temperatures for 2040-2059 under six global circulation models that represent a range of responses to climate change (Notaro et al. 2015a, Notaro et al. 2015b). The six GCMs were ACCESS, CNRM, GFDL, IPSL, MIROC5, and MRI (described in more detail in Winslow et al. 2017), and all were driven by the representative concentration pathway 8.5 (RCP8.5), which assumes continued growth in carbon emissions through the end of the century and thus is a high-end warming scenario. Temperature projections were obtained for each lake centroid using the geoknife() package (Read et al. 2015). C. Filename: code_1_model_selection_cross_validation.R Short description: R code for fitting and selecting generalized additive models for predicting TDO3 from lake characteristics. Also includes R code for fitting a generalized additive model quantifying the relationship between the presence of the coldwater fish cisco TDO3 and in order to estimate habitat tiers. D. Filename: code_2_estimate_resilience_and_uncertainty.R Short description: R code for predicting TDO3 for all lakes under current and future climate conditions, estimating uncertainty in predictions, and quantifying resilience of lakes to watershed development and climate change. 2. Relationship between files: Lakes are indexed by mglp_id in both data files. Code2 uses models and thresholds identified in code1. Both R code files read in data files.

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Hansen, GJA, KE Wehrly, K Vitense, JR Walsh, and PC Jacobson. Quantifying the resilience of coldwater lake habitat to climate and land use change to prioritize watershed conservation. In review.

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Attribution 3.0 United States
 http://creativecommons.org/licenses/by/3.0/us/

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Data Repository for U of M (DRUM)

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Midwest Glacial Lakes Partnership, Funded by the United States Fish and Wildlife Service

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Description
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Data - MGLP TDOx Models2.csv
Characteristics of glacial lakes in the upper Midwestern United States
(1.76 MB)

mid_century_july_median_cisco_lakes.csv
Projected mean July temperatures for 2040-2059 under six global circulation models that represent a range of responses to climate change (Notaro et al. 2015a, Notaro et al. 2015b)
(381.59 KB)

code_2_estimate_resilience_and_uncertainty.R
R code for predicting TDO3 for all lakes under current and future climate conditions
(17.96 KB)

code_1_model_selection_cross_validation.R
R code for fitting and selecting generalized additive models for predicting TDO3 from lake characteristics
(13.14 KB)

Readme.txt
Description of data
(11.91 KB)

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