Utilizing Multi-Criteria Analysis and Analytical Hierarchy Process to Facilitate Everglades Restoration Decision-Making

Greater Everglades Ecosystem (GEE) restoration is a complex undertaking, with a variety of potential outcomes and trade-offs impacting numerous stakeholders. This study utilizes a strategy for facilitating GEE restoration that is based in social science principles and informed by stakeholder opinion, ecologists, and biological modeling techniques. Information in this study was gathered through the use of an online survey involving stakeholder preferences for GEE restoration outcomes. Results revealed that sample stakeholders weighed the outcome of improving seasonal flow of water highest, followed by reducing polluted discharges from Lake Okeechobee, then increasing water storage for human use, and lastly restoring the GEE to improve resiliency to hurricane storm surge. Additionally, the survey collected information on stakeholders’ environmental attitudes. Results revealed that most stakeholders surveyed across many interests identified as “ecocentric” rather than “anthropocentric.” These results have the potential to inform GEE restoration decision-making by providing a strategy to effectively combine the separate interests of each ideologically divergent stakeholder group with projected physical impacts of restoration alternatives

Public preferences for ecological indicators used in Everglades restoration

The Everglades is one of the largest wetland ecosystems in the world covering almost 18,000 square miles from central Florida southward to Florida Bay. Over the 20th century, efforts to drain the Everglades for agriculture and development severely damaged the ecosystem so that today roughly 50% of the historic flow of water through the Everglades has been diverted elsewhere. In an attempt to restore the Everglades, the U.S. Congress authorized the Comprehensive Everglades Restoration Plan (CERP) in 2000, expected to cost over $16 billion and to take several decades to complete. We used the results from a stated preference choice experiment (SPCE) survey of Florida households to estimate the willingness to pay for several ecological attributes related to CERP performance indicators likely to be impacted by Everglades restoration. We also used a latent class model (LCM) to explore preference heterogeneity among respondents. On average, survey respondents were willing to pay for improvements in all of the attributes included in the survey, namely increased populations of wading birds, American alligators, endangered snail kites, and spotted seatrout, and reduced polluted discharges from Lake Okeechobee to the Caloosahatchee and St. Lucie rivers. Willingness to pay was highest for reduced polluted discharges from Lake Okeechobee.Data Availability: All relevant data are available at https://doi.org/10.17605/OSF.IO/9AG7Z.S1 Table. Comparison between the demographics of the survey sample respondents and the Florida population based on 2010 U.S. Census information. https://doi.org/10.1371/journal.pone.0234051.s001S2 Table. Regression results from conditional logit model with willingness to pay estimates. https://doi.org/10.1371/journal.pone.0234051.s002The Everglades Foundationhttp://www.plosone.orghj2020Mammal Research Institut

Public preferences for ecological indicators used in Everglades restoration.

The Everglades is one of the largest wetland ecosystems in the world covering almost 18,000 square miles from central Florida southward to Florida Bay. Over the 20th century, efforts to drain the Everglades for agriculture and development severely damaged the ecosystem so that today roughly 50% of the historic flow of water through the Everglades has been diverted elsewhere. In an attempt to restore the Everglades, the U.S. Congress authorized the Comprehensive Everglades Restoration Plan (CERP) in 2000, expected to cost over $16 billion and to take several decades to complete. We used the results from a stated preference choice experiment (SPCE) survey of Florida households to estimate the willingness to pay for several ecological attributes related to CERP performance indicators likely to be impacted by Everglades restoration. We also used a latent class model (LCM) to explore preference heterogeneity among respondents. On average, survey respondents were willing to pay for improvements in all of the attributes included in the survey, namely increased populations of wading birds, American alligators, endangered snail kites, and spotted seatrout, and reduced polluted discharges from Lake Okeechobee to the Caloosahatchee and St. Lucie rivers. Willingness to pay was highest for reduced polluted discharges from Lake Okeechobee