Metadata: Watershed-based Stressors for the Great Lakes Basin

Watershed-based Stressors for the Great Lakes Basin

This page last updated: 01/29/2024
Metadata created using FGDC Content Standard for Digital Geospatial Metadata


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  1. Overview
  2. Data Quality
  3. Data Organization
  4. Coordinate System
  5. Attributes
  6. Distribution - Get Data
  7. Metadata Reference

Section 1: Overview

Originator:Natural Resources Research Institute - UMD

Title: Watershed-based Stressors for the Great Lakes Basin

Abstract: The following dataset includes component and aggregated measures of environmental stress to coastal ecosystems from watersheds of the Great Lakes Basin. Stressors include the amount of agricultural and developed land use, as well as road and population density. These summaries are based on a set of 5971 watersheds that cover the US and Canadian Great Lakes basin, derived using methods from Hollenhorst et al. (2007). Indices presented in this dataset include SumRel (Host et al. 2011) and the more recent combined Agriculture and Development - AgDev index (Host et al. 2019). A brief description of the AgDev "Euclidean Distance" stressor integration, with R code, is here:

https://github.com/NRRI/stressor_lib/tree/master/euc_distance

Use agdevbasn in preference to sumrel. For historical reference, for SumRel: we evaluated a number of normalizing transformations for each variable, including log, ln, and arcsine transformations. The use of high-resolution watersheds resulted in a large number of zeros (i.e. non-occurrence of the stressor) for many of the variables. The best results were obtained using a log10 transformation of non-zero values. Each of the five variables data values (x) were transformed to log10 (x), using the minimum non-zero value of x to replace zero values. These transformed (x') values were then standardized, (x'-m)/s, with m and s being the mean and standard-deviation for all x', respectively. These standardized values (x'') were then normalized, (x''-min)/(max-min), with min and max being the minimum and maximum for all x'', respectively. Finally the five x'' values for each variable in each watershed were summed and the summed values normalized again to give a single number - SumRel - for each watershed. SumRel ranges from 0.0-1.0, with 1.0 representing the maximum composite stress within a geographic coverage of interest. Note that this design allows stressor scores to be calculated for any given spatial extent - from local watersheds to an ecoregion, lake, or basin.

Literature Cited:

Hollenhorst, T.P., Brown, T.N., Johnson, L.B., Ciborowski, J.J.H., Host, G.E., 2007. Methods for generating multi-scale watershed delineations for indicator development in Great Lake Coastal ecosystems. J. Great Lakes Res. 33 (Special Issue 3), 13–26. DOI: 10.3394/0380-1330(2007)33[13:MFGMWD]2.0.CO;2

Host, G.E., Brown, T.N., Hollenhorst, T.P., Johnson, L.B., Ciborowski, J.J.H., 2011. High resolution assessment and visualization of environmental stressors in the Lake Superior basin. Aquat. Ecosyst. Health Manag. 14, 376–385. DOI: 10.1080/14634988.2011.625340

Host, G.E., Kovalenko, K.E., Brown, T.N., Ciborowski, J.J.H., Johnson, L.B., 2019. Risk based classification and interactive map of watersheds contributing anthropogenic stress to Laurentian Great Lakes coastal ecosystems. J. Great Lakes Res. 45 (3), 609-618. DOI: 10.1016/j.jglr.2019.03.008

Purpose: Map stress gradients across the Great Lakes

Time Period of Content Date: 2000

Currentness Reference:

Progress: Complete

Maintenance and Update Frequency: None Planned

Spatial Extent of Data: Laurentian Great Lakes Basin

Bounding Coordinates: -93.451757
-72.660545
50.941880
39.290630

Place Keywords:

Theme Keywords: inland waters, watersheds, stressors, environmental gradient, great lakes

Theme Keyword Thesaurus:

Access Constraints: None

Use Constraints: This data is licensed under the Creative Commons CC BY-NC-SA 4.0. https://creativecommons.org/licenses/by-nc-sa/4.0/

Contact Person Information: Catalog Manager,
University of Minnesota, Natural Resources Research Institute
5013 Miller Trunk Highway
Duluth, MN  55803
Phone: 218-788-2694
Email: nrri-gis@d.umn.edu

Browse Graphic: None available

Associated Data Sets:

Section 2: Data Quality

Attribute Accuracy:

Logical Consistency:

Completeness:

Horizontal Positional Accuracy:


Lineage:

Section 3: Spatial Data Organization (not used in this metadata)


Section 4: Coordinate System

Horizontal Coordinate Scheme: USA Contiguous Albers Equal Area Conic - USGS

Horizontal Datum: NAD83

Horizontal Units: meters

Vertical Datum:

Vertical Units:

Depth Datum:

Depth Units:

Section 5: Attributes

Overview:

Detailed Citation: Host, G.E., Kovalenko, K.E., Brown, T.N., Ciborowski, J.J.H., Johnson, L.B., 2019. Risk based classification and interactive map of watersheds contributing anthropogenic stress to Laurentian Great Lakes coastal ecosystems. J. Great Lakes Res. 45 (3), 609-618. DOI: 10.1016/j.jglr.2019.03.008

Table Detail:
GLStress5971 - Landscape stress within watersheds (NRRI analysis)
Field NameValid ValuesDefinitionDefinition Source
FID
-
Internal feature number.Esri
Shape
-
Feature geometry.Esri
ORD_PT_ID1 to 5971Counter-clockwise ordering of watersheds starting from Pigeon River on the US (Minnesota) / Canada borderNRRI analysis
UNIQ_ID31 to 5971Unique watershed ID - use this rather than FIDNRRI analysis
regionenumeratedA hybrid lakeshore focused ecoregion defintion dividing the Great Lakes into Northern and Southern regions.NRRI analysis
NNorthern regionNRRI analysis
SSouthern regionNRRI analysis
devbsn0 to 1Basin wide development stress measure, MaxRel(%dev, population, roads), i.e. the maximum of those, rescaled 0-1.See main description
agdevbsn0 to 1Basin wide combined agricultural and development stressSee main description
devrgn0 to 1Region relative development stress measure, MaxRel(%dev, population, roads), i.e. the maximum of those, rescaled 0-1.See main description
new_attribute0 to 1Region relative combined agricultural and development stress.See main description
pcntag0 to 100percent ag. landcoverNLCD 2001; Land information Ontario 2000
pcntdev0 to 100percent developed landcoverNLCD 2001; Land information Ontario 2000
popn0 to 10000People per square km.2000 US Census, 2006 Can. Census
rlua0 to 0.5Road Lenght per Unit Area, m/m2ESRI ArcGIS 9.3 - Streetcarto data from the 2003 Tele Atlas Dynamap Transportation version 5.2 product, was used to calculate road lengths for both countries.
sumrel0 to 1integrated stress, deprecated, use agdevbsn insteadSee main description

Section 6: Distribution

Publisher: Natural Resources Research Institute - UMD

Publication Date: 2015-08-31

Contact Person Information: Catalog Manager,
University of Minnesota, Natural Resources Research Institute
5013 Miller Trunk Highway
Duluth, MN  55803
Phone: 218-788-2694
Email: nrri-gis@d.umn.edu

Distributor's Data Set Identifier:

Distribution Liability:

Ordering Instructions:

Online Linkage: None available

Section 7: Metadata Reference

Metadata Date: 01/29/2024

Contact Person Information: Catalog Manager,
University of Minnesota, Natural Resources Research Institute
5013 Miller Trunk Highway
Duluth, MN  55803
Phone: 218-788-2694
Email: nrri-gis@d.umn.edu

Metadata Standard Name: FGDC Content Standard for Digital Geospatial Metadata

Metadata Standard Version: FGDC-STD-001-1998

Metadata Standard Online Linkage:


This page last updated: 01/29/2024
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