Watershed-based Stressors for the Great Lakes Basin
Go to Section:- Overview
- Data Quality
- Data Organization
- Coordinate System
- Attributes
- Distribution - Get Data
- 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 For historical reference, for SumRel: we evaluated a number of normalizing transformations for each variable, including log, ln, and arcsine transformations.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
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 Name | Valid Values | Definition | Definition Source |
---|
FID | - | Internal feature number. | Esri |
Shape | - | Feature geometry. | Esri |
ORD_PT_ID | 1 to 5971 | Counter-clockwise ordering of watersheds starting from Pigeon River on the US (Minnesota) / Canada border | NRRI analysis |
UNIQ_ID3 | 1 to 5971 | Unique watershed ID - use this rather than FID | NRRI analysis |
region | enumerated | A hybrid lakeshore focused ecoregion defintion dividing the Great Lakes into Northern and Southern regions. | NRRI analysis |
| N | Northern region | NRRI analysis |
| S | Southern region | NRRI analysis |
devbsn | 0 to 1 | Basin wide development stress measure, MaxRel(%dev, population, roads), i.e. the maximum of those, rescaled 0-1. | See main description |
agdevbsn | 0 to 1 | Basin wide combined agricultural and development stress | See main description |
devrgn | 0 to 1 | Region relative development stress measure, MaxRel(%dev, population, roads), i.e. the maximum of those, rescaled 0-1. | See main description |
new_attribute | 0 to 1 | Region relative combined agricultural and development stress. | See main description |
pcntag | 0 to 100 | percent ag. landcover | NLCD 2001; Land information Ontario 2000 |
pcntdev | 0 to 100 | percent developed landcover | NLCD 2001; Land information Ontario 2000 |
popn | 0 to 10000 | People per square km. | 2000 US Census, 2006 Can. Census |
rlua | 0 to 0.5 | Road Lenght per Unit Area, m/m2 | ESRI 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. |
sumrel | 0 to 1 | integrated stress, deprecated, use agdevbsn instead | See 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:
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: