Goals, beneficiaries, and indicators of waterfront revitalization in Great Lakes Areas of Concern and coastal communities
Autor: | Ted R. Angradi, Kathleen C. Williams, Joel C. Hoffman, David W. Bolgrien |
---|---|
Rok vydání: | 2019 |
Předmět: |
0106 biological sciences
Ecology Unintended consequences 010604 marine biology & hydrobiology Corporate governance Biodiversity Context (language use) 010501 environmental sciences Aquatic Science 01 natural sciences Article Sustainability Business Natural capital Socioeconomic status Environmental planning Environmental degradation Ecology Evolution Behavior and Systematics 0105 earth and related environmental sciences |
Zdroj: | J Great Lakes Res |
ISSN: | 0380-1330 |
Popis: | Cleanup of Great Lakes Areas of Concern (AOCs) restores environmental benefits to waterfront communities and is an essential condition for revitalization. We define waterfront revitalization as policies or actions in terrestrial waterfront or adjacent aquatic areas that promote improvements in human socioeconomic well-being while protecting or improving the natural capital (the stocks of natural assets, biodiversity) that underlies all environmental, social, and economic benefits. Except for economic measures such as development investments, visitation rates, or commercial activity, evidence of waterfront revitalization in the Great Lakes is mostly anecdotal. We offer a perspective on waterfront revitalization that links indicators and metrics of sustainable revitalization to community goals and human beneficiaries. We compiled environmental, social, economic, and governance indicators and metrics of revitalization, many of which are based on or inspired by Great Lakes AOC case studies and community revitilization or sustainability plans. We highlight the role of indicators in avoiding unintended consequences of revitalization including environmental degradation and social inequity. Revitalization indicators can be used in planning for comparing alternative designs, and to track restoration progress. The relevancy of specific indicators and metrics will always depend on the local context. |
Databáze: | OpenAIRE |
Externí odkaz: |