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Risk-based classification and interactive map of watersheds contributing anthropogenic stress to Laurentian Great Lakes coastal ecosystems
- Source :
- Journal of Great Lakes Research. 45:609-618
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- We describe development anthropogenic stress indices for coastal margins of the Laurentian Great Lakes basin. Indices were derived based on the response of species assemblages to watershed-scale stress from agriculture and urbanization. Metrics were calculated for five groups of wetland biota: diatoms, wetland vegetation, aquatic invertebrates, fishes, and birds. Previously published community change points of these assemblages were used to classify each watershed as ‘least-disturbed’, ‘at-risk’, or ‘degraded’ based on community response to these stressors. The end products of this work are an on-line map utility and downloadable data that characterize the degree of agricultural land use and development in all watersheds of the US and Canadian Great Lakes basin. Discrepancies between the observed biological condition and putative anthropogenic stress can be used to determine if a site is more degraded than predicted based on watershed characteristics, or if remediation efforts are having beneficial impacts on site condition. This study provides a landscape-scale evaluation of wetland condition that is a critical first step for multi-scale assessments to help prioritize conservation or restoration efforts.
- Subjects :
- 0106 biological sciences
geography
Watershed
geography.geographical_feature_category
Ecology
010604 marine biology & hydrobiology
Biota
Wetland
010501 environmental sciences
Aquatic Science
Structural basin
01 natural sciences
Agricultural land
Urbanization
Environmental science
Ecosystem
Ecology, Evolution, Behavior and Systematics
0105 earth and related environmental sciences
Invertebrate
Subjects
Details
- ISSN :
- 03801330
- Volume :
- 45
- Database :
- OpenAIRE
- Journal :
- Journal of Great Lakes Research
- Accession number :
- edsair.doi...........3fdef1599f5fb868e1c83f8d640cd655
- Full Text :
- https://doi.org/10.1016/j.jglr.2019.03.008