Skip to main content

Advertisement

Log in

Combining ecological, eco-cultural, and environmental justice parameters to create Eco-EJ indicators to monitor cultural and environmental justices for diverse communities around contaminated sites

  • Published:
Environmental Monitoring and Assessment Aims and scope Submit manuscript

Abstract

Assessing environmental quality often requires selection of indicators that can be employed over large spatial scales and over long-time periods to assess the health and well-being of species, natural communities, and ecosystems, and to detect changes warranting intervention. Typically, the ecologic environment and the human environment are evaluated separately and selection of indicators and monitoring approaches are not integrated even though ecological indicators may also provide information on risk to human consumers from contaminants (e.g., eco-cultural indicators) or because of disease levels. This paper is a call for ecologists and managers to consider diverse cultural and environmental injustice disparities and health issues when selecting indicators for environmental assessment and monitoring. There is an opportunity for managers and community members to work together to preserve ecological and cultural resources and heritages. We propose a paradigm that selects indicators and monitoring approaches that lend themselves to the integration of human-diversity and uniqueness in the same manner that the selection of ecological indicators and monitoring approaches consider biological species diversity and uniqueness. The proposed paradigm builds on ecological risk assessment techniques, developing analogous endpoints for neighboring communities. For example, identification and protection of human communities, particularly culturally diverse and environmental justice communities, identification of contaminant corridors (e.g., through water or green corridors) into communities, and eco-monitoring of vulnerable communities are not routine at contaminated sites. Green corridors refers to a width of wild habitat (forest, grasslands) that connects other similar habitat paths (usually a corridor runs through an urban or suburban habitat). We coin the term Eco-EJ indicators for these endpoints, including examination of (1) unique cultural relationships to resources; (2) connectedness of on-site and off-site resources and habitats; (3) health of threatened, rare, and unique cultures and communities; and (4) linkages between ecological, eco-cultural, and public health for monitoring and assessment. We also propose that assessment and monitoring include these Eco-EJ indicators, especially for communities near facilities that have extensive chemical or radiological contamination.

Developing these indicators to assess risk to culturally diverse and environmental justice communities would be an equivalent goal to reducing risk for significant ecological resources (e.g., endangered species, species of special concern). These Eco-EJ indicators are complementary to the usual human health-risk assessments, would include surveys of neighboring vulnerable communities, and require time and re-organization of current data and additional data collection at site boundaries and in adjacent communities, as well as rethinking the human component of indicators. This approach lends itself to addressing some diverse cultural and environmental justice issues with current indicator selection and biomonitoring, and helps identify specific hotspots of unique ecosystem risk and environmental justice community risk. We briefly discuss ecological and eco-cultural monitoring already on-going at three Department of Energy sites to illustrate how the addition of these indicators might work and add value to environmental management and to their relationships with surrounding communities. We recommend that managers of contaminated sites convene people from culturally diverse communities, environmental justice communities, local and federal government, Tribes, resource trustees, managers, and other stakeholders to develop appropriate site-specific indicators to address environmental inequities around contaminated facilities.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Data availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  • Agency for Toxic Substances and Disease Registry (ATSDR). (1999). Toxicological profile for mercury. U.S. Public Health Service, Agency for Toxic Substances and Disease Registry.

    Google Scholar 

  • Agency for Toxic Substances and Disease Registry (ATSDR). (2004). Public health report: Oak Ridge Reservation (USDOE): Anderson County, Tennessee. https://www.atsdr.cdc.gov/hac/pha/oakridgey12/oak_p1.html

  • Agency for Toxic Substances and Disease Registry (ATSDR). (2013). Addendum to the toxicological profile for mercury (alkyl and dialkyl compounds). Atlanta GA.: U.S. Public Health Service, Agency for Toxic Substances and Disease Registry.

  • Aimaq, J. (2005). The Oak Ridge national security complex: Human health and the environment as casualties of hot and cold wars. A Global Green USA Legacy Program Report.

  • Albert, C., Renedo, M., Bustamante, P., & Fort, J. (2019). An updated review on the spiders of order Araneae from the Districts of Western Ghats of India. Bioscience Biotechnology Research Communications, 12, 855–864.

    Article  Google Scholar 

  • Astin, L. E. (2007). Developing biological indicators from diverse data: The Potomac Basin-wide Index of Biotic Integrity (B-(BI). Ecological Indicators, 7, 985–908.

    Article  Google Scholar 

  • ASTM. (1995). Standard guide for developing conceptual site models for contaminated sites, E1689–1965. Annual Book of ASTM Standards, 04, 08.

    Google Scholar 

  • Bani, L., Massimino, D., Bottoni, L., & Massa, R. (2005). A multiscale method for selecting indicator species and priority conservation areas: A case study for broadleaved forests in Lombardy, Italy. Conservation Biology, 20, 512–526.

    Article  Google Scholar 

  • Bar, A., & Loffler, J. (2007). Ecological process indicators used for nature protection scenarios in agricultural landscapes of SW Norway. Ecological Indicators, 7, 396–411.

    Article  Google Scholar 

  • Bartell, S. M. (2006). Biomarkers, indicators, and ecological risk assessment – A brief review and evaluation. Environmental Indicators, 1, 39–52.

    Google Scholar 

  • Beeby, A. (2001). What do sentinels stand for? Environmental Pollution, 112, 285–298.

    Article  CAS  Google Scholar 

  • Birge, W. J., Price, D. J., Shaw, J. R., Spromberg, J. A., Wiggington, A. J., & Hogstrand, C. (2000). Metal body burden and biological sensors as ecological indicators. Environmental Toxicology and Chemistry, 19, 1199–1212.

    Article  CAS  Google Scholar 

  • Bohnee, G., Matthews, J. P., Pinkham, J., Smith, A., & Stanfill, J. (2011). Nez Perce involvement with solving environmental problems: History, perspectives, Treaty rights, and obligations. In J. Burger (Ed.), Stakeholders and scientists: Achieving implementable solutions to energy and environmental issues (pp. 149–184). Springer.

    Chapter  Google Scholar 

  • Bortone, S. A. (2007). Establishing an environmental indicator network to evaluate the impact of extreme events. Environmental Indicators, 2, 57–59.

    Google Scholar 

  • Brown, K. S. (1998). The great DOE land rush. Science, 282, 616–617.

    Article  CAS  Google Scholar 

  • Bullard, R. D. (1990). Dumping in Dixie: Race, class, and environmental quality. Westview Press.

    Google Scholar 

  • Bunnell, F. L. (2008). Indicators for sustainable biological diversity in Canada’s most controversial forest type – Coastal temperate rainforest. Ecological Indicators, 8, 149–157.

    Article  Google Scholar 

  • Burger, J. (2006). Bioindicators: A review of their use in environmental literature 1970–2005. Environmental Bioindicators, 1, 136–144.

    Article  Google Scholar 

  • Burger, J. (Ed.). (2011). Stakeholders and scientists: Achieving implementable solutions to energy and environmental issues. Springer.

    Google Scholar 

  • Burger, J. (2019). A framework for increasing sustainability and reducing risk to ecological resources through integration of remediation planning and implementation. Environmental Research, 172, 586–595.

    Article  CAS  Google Scholar 

  • Burger, J., & Gochfeld, M. (2000). 25 Nature spectacles in New Jersey. Rutgers University Press.

    Google Scholar 

  • Burger, J., & Gochfeld, M. (2011). Conceptual environmental justice model: Evaluation of chemical pathways of exposure in low-income, minority, Native American, and other unique exposure populations. American Journal of Public Health, 101(Supplement 1), S64-73.

    Article  Google Scholar 

  • Burger, J., & Gochfeld, M. (2016). Habitat, population dynamics, and metal levels in colonial waterbirds. CRC Press.

    Book  Google Scholar 

  • Burger, J., & Gochfeld, M. (2020). Involving community members in preparedness and resiliency involves bi-directional and iterative communications and actions: A case study of vulnerable populations in New Jersey following superstorm Sandy. Journal of Risk Research, 23, 541–556.

    Article  Google Scholar 

  • Burger, J., & Gochfeld, M. (2021). Importance of biomonitoring levels of selenium, mercury, and selenium:mercury molar ratios in selected species in Northeastern United States estuaries: Risk to biota and humans. Environmental Science and Polllution Research. In press.

  • Burger, J., Gochfeld, M., Pletnikoff, K., Snigaroff, R., Snigaroff, D., & Stamm, T. (2008). Ecocultural attributes: Evaluating ecological degradation in terms of ecological goods and services verus subsistence and tribal values. Risk Analysis, 28, 1261–1271.

    Article  Google Scholar 

  • Burger, J., Harris, S., Harper, B., & Gochfeld, M. (2010). Ecological information needs for environmental justice. Risk Analysis, 30, 893–905.

    Article  Google Scholar 

  • Burger, J., Gochfeld, M., Niles, L., Powers, C. W., Brown, K., Clarke, J., & Dey, A. (2015). Complexity of indicator selection for ecological, human, and cultural health: Chinook salmon and red knot as case studies. Environmental Monitoring and Assessment, 187, 102.

    Article  Google Scholar 

  • Burger, J., Gochfeld, M., & Jeitner, C. (2018). Risk valuation of ecological resources at contaminated deactivation and decommissioning facilities: Methodology and a case study at the Department of Energy’s Hanford site. Environmental Monitoring and Assessment, 190, 478.

    Article  Google Scholar 

  • Burger, J., Gochfeld, M., Kosson, D. S., Brown, K. G., Bliss, L. A., Bunn, A., Clarke, J. H., Mayer, H. J., & Salisbury, J. A. (2019). The costs of delaying remediation on human, ecological, and eco-cultural resources: Considerations for the Department of Energy: A methodological framework. Science of the Total Environment, 649, 1054–1064.

    Article  CAS  Google Scholar 

  • Burger, J., Gochfeld, M., Kosson, D., Brown, K. G., Salisbury, J., & Jeitner, C. (2020). A paradigm for protecting ecological resources following remediation as a function of future land use designations: A cast study for the Department of Energy’s Hanford Site. Environmental Monitoring and Assessment, 192, 181–208.

    Article  Google Scholar 

  • Butler, V. L., & O’Connor, J. E. (2004). 9000 years of salmon fishing on the Columbia River, North America. Quarternary Research, 62, 1–8.

    Article  Google Scholar 

  • Cappuyns, V. (2016). Inclusion of social indicators in decision support tools for the selection of sustainable site remediation options. Journal of Environmental Management, 184, 45–65.

    Article  Google Scholar 

  • Carrigan, C. (2017). Structured to Fail? Regulatory Performance Under Competing Mandates. Cambridge University Press. 

  • Chakraborty, J., Collins, T. W., & Grineski, S. E. (2016). Environmental justice research: Contemporary issues and emerging topics. International Journal of Environmental Research and Public Health, 13(11), 1072.

    Article  Google Scholar 

  • Chan, K. M. A., Satterfield, T., & Goldstein, J. (2012). Rethinking ecosystem services to better address and navigate cultural values. Ecological Economics, 74, 8–18.

    Article  Google Scholar 

  • Chess, C., & Purcell, K. (1999). Public participation and the environment: Do we know what works? Environmental Science & Technology, 33, 2685–2692.

    Article  CAS  Google Scholar 

  • Centers for Disease Control (CDC). (2020a). One Health. cdc.gov/onehealth/index.html

  • CDC. (2020b). Welcome to the 500 cities data portal. https://chronicdata.cdc.gov/brow?category=500+cities

  • Cole, D. C., Eyles, J., & Gibson, B. L. (1998). Indicators of human health in ecosystems: What do we measure? The Science of the Total Environment, 22, 201–213.

    Article  Google Scholar 

  • Colorado College. (2016). Environmental injustices for Pueblo Communities near Los Alamos National Laboratory. https://sites.coloradocollege.edu/ejsw/

  • Columbia River Inter-Tribal Fish Commission (CRITFC). (2013). We are salmon people. http://critfc.org/salmon-culture/columbia-river-salmon/xoumbia-river-salmon-species

  • Colburn, T. (1994). The wildlife/human connection: Modernizing the risk decisions. Environmental Health Perspectives, 102, 55–59.

    Article  Google Scholar 

  • Colombo, J. C., Speranza, E. D., Astoviza, M., Migoya, M. C., Skorupka, C. N., Morrone, M., Heguilor, S., Tatone, L. M., Bilos, C. (2018). Long-term (1970–2017) temporal trends of polychlorinated biphenyls in fish, settling material, and sediments from populated and remote sites in Río de la Plata Estuary, Argentina. Environmental Science & Technology, 52(21), 12412–12418. https://doi.org/10.1021/acs.est.8b04403. Epub 19 Oct 2018. PMID: 30338687.

  • Cordier, T., Alonzo-Saez, L., Apotheloz-Perrett-Gentil, L., Aylagas, E., Bohan, D. A., Bouchez, A., Chariton, A., Creer, S., Fruhe, L., et al. (2020). Ecosystem monitoring powered by environmental genomics: A review of current strategies with an implementation roadmap. Molecular Ecology. https://doi.org/10.1111/mec.15472

    Article  Google Scholar 

  • Costanza, R., de Groot, R., Sutton, P., van der Ploeg, S., Anderson, S. J., Kubiszewski, I., Farber, S., & Turner, R. K. (2014). Changes in the global value of ecosystem services. Global Environmental Change, 26, 152–158.

    Article  Google Scholar 

  • Costanza, R., de Groot, R., Braat, L., Kubiszewski, I., Fioramonti, L., Sutton, P., Farber, S., & Grasso, M. (2017). Twenty years of ecosystem services: How far have we come and how far do we still need to go? Ecological Services, 28, 1–16.

    Google Scholar 

  • Coulson, D., & Joyce, L. (2006). Indexing variability: A case study with climate change impacts on ecosystems. Ecological Indicators, 6, 749–769.

    Article  Google Scholar 

  • Cuadra, M., & Bjorklund, J. (2007). Assessment of economic and ecological carrying capacity of agricultural crops in Nicaragua. Ecological Indicators, 7, 133–149.

    Article  Google Scholar 

  • Cunningham, P. A., Sullivan, E. E., Everett, K. H., Kovach, S. S., Rajan, A., & Barber, M. C. (2019). Assessment of metal contamination in Arabian/Persian Gulf fish: A review. Marine Pollution Bulletin, 143, 264–283.

    Article  CAS  Google Scholar 

  • Dale, V. H., & Parr, P. D. (1998). Preserving DOE’s research parks. Issues in Science and Technology, 14, 73–77.

    Google Scholar 

  • Dantsis, T., Douma, C., Giourga, C., Loumou, A., & Polychronaki, E. A. (2010). A methodological approach to assess and compare the sustainability level of agricultural production systems. Ecological Indicators, 10, 256–263.

    Article  Google Scholar 

  • Davidson, M. D. (2013). On the relation between ecosystem services, intrinsic value, existence value and economic valuation. Ecological Economics, 95, 171–177.

    Article  Google Scholar 

  • de Groot, R. S., Wilson, M. A., & Boumans, R. M. J. (2002). A typology for the classification, description and valuation of ecosystem functions, goods and services. Ecological Economics, 41, 393–408.

    Article  Google Scholar 

  • Department of Energy (DOE). (1994a). Stewards of a national resources. (DOE/FM-0002), Office of Energy Research, Department of Energy, Washington D.C.

  • Department of Energy (DOE). (1994b). National Environmental Research Parks. Office of Energy Research. Department of Energy, Washington, D.C.

  • Department of Energy (DOE). (2013). Ecological monitoring. http://hanford.gov/page.cfm/ecologicalmonitoring

  • Department of Energy (DOE). (2017). East Fork Poplar Creek and Chestnut Ridge administrative watersheds remedial action report. Comprehensive monitoring plan (DOE/OR/01–2466&D4), Oak Ridge, Tennessee.

  • Department of Energy (DOE). (2019a). Hanford annual site environmental report for calendar year 2018 (DOE/RL-2019–33. Rev 0). Richland, WA.

  • Department of Energy (DOE). (2019b). Los Alamos National Laboratory 2018 annual site environmental report. (LA-UR-19–28950). Los Alamos, NM.

  • Department of Energy (DOE). (2019c). Oak Ridge Reservation annual site environmental report 2018 (DOE/ORO-2512). Oak Ridge, TN.

  • Department of Energy (DOE). (2019d). Hanford Lifecycle scope, schedule, and cost report. DOE/RL-2018–45 (Rev 0). Richland Operations Office, Richland, Washington.

  • Department of Energy (DOE). (2020). What is environmental justice? http://energy.gov/lm/services/environmental-justice/what-environmental-justice

  • Department of Energy (DOE). (2000). Working with Indian Tribal Nations: A Guide for DOE Employees. https://www.energy.gov/sites/prod/files/DOE%20Guide%20to%20Working%20with%20Tribal%20Nations.pdf

  • Downs, J. L., Rickard, W. H., & Brandt, C. A. (1993). Habitat types on the Hanford Site: Wildlife and plant species of concern. PNL-8942, UC-702. Pacific Northwest National Laboratory, Richland, WA.

  • Endangered Species Act (ESA). (1973). Public Law 93–205, as amended, 16USC 1513 et seq.

  • Environmental Protection Agency (EPA). (1995). Land-use in CERCLA remedy selection process: The Superfund Land-Use Directive. US Environmental Protection Agency, SWER 9355.7–04.

  • Environmental Protection Agency (EPA). (1997a). Ecological indicators evaluation criteria. U.S. Environmental Protection Agency.

    Google Scholar 

  • Environmental Protection Agency (EPA). (1997b). Ecological risk assessment guidance for Superfund: Process for designing and conducting ecological risk assessments - Interim Final U.S. Environmental Protection Agency. EPA 540-R-97–006 OSWER 9285.7–25. https://semspub.epa.gov/work/11/157941.pdf. Accessed 24 Feb 2016.

  • Environmental Protection Agency (EPA). (1999). A guide to preparing Superfund Proposed Plans, Records of Decision, and other remedy selection decision documents. US Environmental Protection Agency, OSWER9200–1.23.p.EPA 540-R-98–031.

  • Environmental Protection Agency (EPA). (2019a). Environmental justice and national environmental policy act. https://www.epa.gov/environmentaljustice/environmental-justice-and-national-environmental-policy-act. Accessed 16 Dec 2019.

  • Environmental Protection Agency (EPA). (2019b). Framework for cumulative risk assessment. U.S. Environmental Protection Agency, Office of Research and Development, Center for Public Health and Environmental Assessment (CPHEA), formerly known as the National Center for Environmental Assessment (NCEA), Washington Office, Washington, DC, EPA/600/P-02/001F, 2003.https://www.epa.gov/risk/framework-cumulative-risk-assessment. Updated 30 Sept 2019.

  • Environmental Protection Agency (EPA). (2020a). EJSCREEN: Environmental justice screening and mapping tool. Available at epa.gov/ejscreen

  • Environmental Protection Agency (EPA). (2020b). Exposure assessment tools by media – Aquatic biota. https://www.epa.gov/expobo/exposure-assessment-tools-media-aquatic-biota

  • Fox, G. A. (2001). Wildlife as sentinels of human health effects in the Great Lakes-St. Lawrence Basin. Environmental Health Perspectives, 109, 853–861.

    Google Scholar 

  • Giffen, N. R., Wade, D. C., & Mueller, M. (2012a). Interior forest areas of the Oak Ridge Environmental Research Park. ORNL/TM-2012/388. Oak Ridge National Laboratory, Oak Ridge, TN.

  • Giffen, N. R., Evans, J. W., & Parr, P. D. (2012b). Wildlife management plan for the Oak Ridge Reservation. ORNL/TM-2012/387, Oak Ridge National Laboratory, Oak Ridge, TN.

  • Gochfeld, M., & Burger, J. (2011). Disproportionate exposures in environmental justice and other populations: Outliers matter. American Journal of Public Health, 101(Suppl. 1), S53-63.

    Article  Google Scholar 

  • Gochfeld, M., Burger, J., Powers, C., Kosson, D. (2015). Land use planning scenarios for contaminated land: Comparing EPA, State, Federal, and Tribal approaches. Waste Management Symposium, March 15–19, 2015. Phoenix, AZ.

  • Godínez-Alvarez, H., Herrick, J. E., Mattocks, M., Toledo, D., & Van Zee, J. (2009). Comparison of three vegetation monitoring methods: Their relative utility for ecological assessment and monitoring. Ecological Indicators, 9, 1001–1008.

    Article  Google Scholar 

  • Golden, N. H., & Rattner, B. A. (2003). Ranking terrestrial vertebrate species for utility in biomonitoring and vulnerability to environmental contaminants. Reviews in Environmental Contamination and Toxicology, 176, 67–136.

    Google Scholar 

  • Gutierrez, B. F. D., & Agudelo, C. A. R. (2020). Fish as indicators: Coal and mercury pollution in Colombia’s ecosystem. Environmental Science and Pollution Research, 27, 27541–27562.

    Article  CAS  Google Scholar 

  • Harclerode, M. A., Macbeth, T. W., Miller, M. E., Gurr, C. J., & Myers, T. S. (2016). Early decision framework for integrating sustainable risk management for complex remediation sites: Drivers, barriers, and performance metrics. Journal of Environmental Management, 184, 57–66.

    Article  Google Scholar 

  • Harris, S. G., & Harper, B. L. (2000). Using eco-cultural dependency webs in risk assessment and characterizations of risks to tribal health and cultures. Environmental Science and Pollution Research, 2, 91–100.

    Google Scholar 

  • Hickey, G. M. (2008). Evaluating sustainable forest management. Ecological Indicators, 8, 109–114.

    Article  Google Scholar 

  • Hickey, G. M., & Innes, J. L. (2008). Indicators for demonstrating sustainable forest management in British Columbia, Canada: An international review. Ecological Indicators, 8, 131–140.

    Article  Google Scholar 

  • Holifield, R. (2001). Defining environmental justice. Urban Geography, 22, 78–90.

    Article  Google Scholar 

  • Ives, C. D., & Kendal, D. (2014). The role of social values in the management of ecological systems. Journal of Environmental Management, 144, 67–72.

    Article  Google Scholar 

  • Jama, B. A., Mohamed, A. M., Mulatya, J., & Njui, A. N. (2008). Comparing the Big Five: A framework for the sustainable management of indigenous fruit trees in the drylands of East Central Africa. Ecological Indicators, 8, 170–179.

    Article  Google Scholar 

  • Kotwal, P. C., Omprakash, M. D., Gairola, S., & Dugaya, D. (2008a). Ecological indicators: Imperative to sustainable forest management. Ecological Indicators, 8(1), 104–107.

    Article  Google Scholar 

  • Kotwal, P. C., Omprakash, M. D., Gairola, S., & Dugaya, D. (2008b). Ecological indicators: Imperative to sustainable forest management. Ecological Indicators, 8, 104–107.

    Article  Google Scholar 

  • Lamb, E. G., Bayne, E., Holloway, G., Schieck, J., Boutin, S., Herbers, J., & Haughland, D. L. (2009). Indices for monitoring biodiversity change: Are some more effective than others? Ecological Indicators, 9, 432–444.

    Article  Google Scholar 

  • Landeen, D., & Pinkham, A. (1999). Salmon and his people. Confluence Press.

    Google Scholar 

  • Lee, J. H., Han, J.-H., Kumar, H. K., Choi, J., Byeon, J., Kun, H., et al. (2011). National-level integrative ecological health assessments based on the index of biological integrity, water quality, and qualitative habitat evaluation index, in Korean rivers. Annales De Limnologie/international Journal of Limnology, 47, S73–S89.

    Article  Google Scholar 

  • Li, L., Zheng, B., & Liu, L. (2010). Biomonitoring and indicators used for river ecosystems: Definitions, approaches and trends. Procedia Environmental Sciences, 2, 1510–1524.

    Article  Google Scholar 

  • Lodeiro, C., Capelo-Martinez, J. L., Santos, H. M., & Oliveira, E. (2020). Impacts of environmental issues on health and well-being: A global pollution challenge. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-020-10265-6

  • Ludwig, J. A., Bastin, G. N., Chewings, V. H., Eager, R. W., & Liedloff, A. C. (2007). Leakiness: A new index of monitoring the health of arid and semiarid landscapes using remotely sensed vegetation cover and elevation data. Ecological Indicators, 7, 442–454.

    Article  Google Scholar 

  • MacKenzie, C. L., Jr. (1992). The fisheries of Raritan Bay. Rutgers University Press.

    Google Scholar 

  • Mander, Ü., Müller, F., & Wrbka, T. (2005). Functional and structural landscape indicators: Upscale and downscaling problems. Ecological Indicators, 5, 267–272.

    Article  Google Scholar 

  • Mascarenhas, A., Coelho, P., Subtil, E., & Ramos, T. B. (2010). The role of common local indicators in regional sustainability assessment. Ecological Indicators, 10, 646–656.

    Article  Google Scholar 

  • Mawdsley, J., & O’Malley, R. (2009). Development of multi-species indicators for the Nevada wildlife action plan. Ecological Indicators, 9, 1030–1036.

    Article  Google Scholar 

  • Mehana, E. E., Khafaga, A. F., Asmaa, F., Elblehi, S. S., Abd El-Hack, M. E., Naiel, M., Bin-Jumah, M., Othman, S. I., Allam, A. A. (2020). Biomonitoring of heavy metal pollution using acanthocephalans parasite in ecosystems: An updated overview. Animals, 10. https://doi.org/10.3390/ani10050811

  • Messer, J. J. (2008). Indicator Systems. Environmental Indicators, 3, 1–2.

    Google Scholar 

  • Muller, F., & Lenz, R. (2006). Ecological indicators: Theoretical fundamentals of consistent applications in environmental management. Ecological Indicators, 6, 1–5.

    Article  Google Scholar 

  • Munteanu, V., & Munteanu, G. (2007). Biomonitoring of mercury pollution: A case study from the Dniester River. Ecological Indicators, 7, 489–496.

    Article  Google Scholar 

  • Nardone, J., Chaian, J., & Corburn, G. (2020). Historic redlining and urban health today in U.S. cities. Environmental Justice, 13, 109–119.

    Article  Google Scholar 

  • National Research Council (NRC). (1983). Risk assessment in the federal government: Managing the process. Washington D.C.: National Academy Press.

  • National Research Council (NRC). (1993). Risk assessment in the federal government: Managing the process. Washington D.C.: National Academy Press.

  • National Research Council (NRC). (1996a). Understanding risk: Informing decisions in a democratic society. National Academy Press.

    Google Scholar 

  • National Research Council (NRC). (1996b). Upstream: Salmon and society in the Pacific Northwest. National Academy Press.

    Google Scholar 

  • National Research Council (NRC). (2000). Ecological indicators for the Nation. Washington D.C.: National Academy Press.

  • National Park Service (NPS). (2017). Hanford, WA Site - Manhattan Project National Historical Site. https://www.nps.gov/mapr/hanford.htm. Accessed 29 Dec 2017.

  • Norton, S. B., Rodier, D. J., Gentile, J. H., van der Schalie, W. H., Wood, W. P., & Slimak, M. W. (1992). A framework for ecological risk assessment at the EPA. Environmental Toxicology and Chemistry, 11, 1663–1672.

    Article  CAS  Google Scholar 

  • ORHASP. (1999). Releases of contaminants from Oak Ridge facilities and risks to public health. Final Report of the Oak Ridge Health Agreement Steering Panel. December 1999. https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.645.2942. (links to PDF).

  • Parr, T. W., Sier, A. R. J., Battarbee, R. W., Mackay, A., & Burgess, J. (2003). Detecting environmental change: Science and society – Perspectives on long-term research and monitoring in the 21st century. The Science of the Total Environment, 310, 1–8.

    Article  CAS  Google Scholar 

  • Peakall, D. B. (1991). Animal biomarkers as pollution indicators. Chapman & Hall.

    Google Scholar 

  • Peterson, M. J., Efroymson, R. A., & Adams, S. M. (2011). Long-term biological monitoring of an impaired stream: Synthesis and environmental management implications. Environmental Management, 47, 1125–1140.

    Article  Google Scholar 

  • Prior, J. (2016). The norms, rules, and motivational values driving sustainable remediation of contaminated environments: A study of implementation. Science of the Total Environment, 544, 824–836.

    Article  CAS  Google Scholar 

  • Rabinowitz, P. M., Cullen, M. R., & Lake, H. R. (1999). Wildlife as sentinels for human health hazards: A review of study designs. Journal of Environmental Medicine, 1, 217–223.

    Article  Google Scholar 

  • Riley, D. M., Newby, C. A., & Leal-Almeraz, T. O. (2006). Incorporating ethnographic methods in multidisciplinary approaches to risk assessment and communication: Cultural and religious uses of mercury in Latino and Caribbean communities. Risk Analysis, 5, 1205–1221.

    Article  Google Scholar 

  • Riseng, C. M., Wiley, M. J., Black, R. W., & Munn, M. D. (2011). Impacts of agricultural land use on biological integrity: A causal analysis. Ecological Applications, 21, 2128–3146.

    Article  Google Scholar 

  • Ruaro, R., Gubiani, E. A., Hughes, R. M., & Mormul, R. P. (2020). Global trends and challenges in multimetric indices of biological condition. Ecological Indicators, 110. https://doi.org/10.1016/j.ecolind.2019.105862

  • Silva, J. M., Navoni, J. A., & Freire, E. M. X. (2020). Environmental monitoring and assessment, 192. https://doi.org/10.1007/s10661-020-08435-7

  • Suter, G. W., II. (1990). Endpoint for regional ecological risk assessments. Environmental Management, 14, 9–23.

    Article  Google Scholar 

  • Turnhout, E., Hissachemoller, M., & Eijackers, H. (2007). Ecological indicators: Between the two firest of science and policy. Ecological Indicators, 7, 215–228.

    Article  Google Scholar 

  • Van der Schalie, W. H. (1997). Can sentinel species data be used to evaluate potential human health implications of environmental contaminants? Human and Ecological Risk Assessment, 3, 305–307.

    Article  Google Scholar 

  • Wendroff, A. P. (2005). Magico-religious mercury use in caribbean and Latino communities: Pollution, persistence, and politics. Environmental Practice, 7, 87–96.

  • Whicker, F. W., Hinton, T. G., MacDonell, M. M., Pinder, J. E., III., & Habegger, L. J. (2004). Avoiding destructive remediation at DOE sites. Science, 303, 1615–1517.

    Article  CAS  Google Scholar 

  • Williams, R. N. (2006). Return to the river: Restoring salmon to the Columbia River. Elsevier.

    Google Scholar 

  • Wilson, M. J., Bayley, S. E., & Rooney, R. C. (2013). A plant-based index-based index of biological integrity in permanent marsh wetlands yield consistent scores in dry and wet years. Aquatic Conservation: Marine and Freshwater Ecosystems, 23, 698–709.

    Article  Google Scholar 

  • Wren, C. D. (1986). Mammals as biological monitors of environmental metal levels. Environmental Monitoring and Assessment, 6, 127–144.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

We thank the many people who have discussed environmental assessment, land use, resource value, and environmental justice with us over the years, including colleagues from CRESP, DOE, the Pacific Northwest National Laboratory, Savannah River Ecology Laboratory, Oak Ridge National Laboratory, Los Alamos National Laboratory, managers and scientists from EPA, regulators and resource trustees of the States of Washington, Tennessee, South Carolina, the Tribes and Tribal members, and many others.

Funding

This research was funded by the U.S. Department of Energy (DE-FC01-06EW07053) through the Consortium for Risk Evaluation with Stakeholder Participation (CRESP), Rutgers University, and Vanderbilt University. The opinions, findings, conclusions, or recommendations expressed herein are those of the authors and do not necessarily represent the views of the U.S. DOE, Rutgers University, Vanderbilt University, and other participating universities.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Joanna Burger.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Burger, J., Gochfeld, M., Kosson, D.S. et al. Combining ecological, eco-cultural, and environmental justice parameters to create Eco-EJ indicators to monitor cultural and environmental justices for diverse communities around contaminated sites. Environ Monit Assess 194, 177 (2022). https://doi.org/10.1007/s10661-021-09535-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10661-021-09535-8

Keywords

Navigation