The efficacy of no-take marine reserves (NTMRs) to enhance and sustain regional coral reef fisheries was assessed in Dry Tortugas, Florida, through 9 annual fishery-independent research surveys spanning 2 years before and 10 years after NTMR implementation. A probabilistic sampling design produced precise estimates of population metrics of more than 250 exploited and non-target reef fishes. During the survey period more than 8100 research dives utilizing SCUBA Nitrox were optimally allocated using stratified random sampling. The survey domain covered 326 km 2 , comprised of eight reef habitats in four management areas that offered different levels of resource protection: the Tortugas North Ecological Reserve (a NTMR), Dry Tortugas National Park (recreational angling only), Dry Tortugas National Park Research Natural Area (a NTMR), and southern Tortugas Bank (open to all types of fishing). Surveys detected significant changes in population occupancy, density, and abundance within management zones for a suite of exploited and non-target species. Increases in size, adult abundance, and occupancy rates were detected for many principal exploited species in protected areas, which harbored a disproportionately greater number of adult spawning fishes. In contrast, density and occupancy rates for aquaria and non-target reef fishes fluctuated above and below baseline levels in each management zone. Observed decreases in density of exploited species below baseline levels only occurred at the Tortugas Bank area open to all fishing. Our findings indicate that these NTMRs, in conjunction with traditional fishery management control strategies, are helping to build sustainable fisheries while protecting the fundamental ecological dynamics of the Florida Keys coral-reef ecosystem.
Gray wolf (Canis lupus) restoration in the Greater Yellowstone Ecosystem began in 1995 with a small founder population in Yellowstone National Park, USA, which increased and contributed to a fully restored population in the northern Rocky Mountains by 2003. Upon removal as a federally listed, threatened species, wolf management outside the park was conveyed to Idaho, Montana, and Wyoming (USA) during 2009–2012; though wolves were relisted in Wyoming in 2014. Subsequent harvests elicited substantial negative reactions from wolf advocates when wolves that lived primarily in the park moved into surrounding states and were lawfully harvested. Conversely, many game managers and hunters advocated for larger harvests of wolves, including those in the park. These divergent viewpoints merit consideration when developing management plans for wolves that move between preserves and areas where hunting is permitted. We describe the history of wolf restoration and hunting in the ecosystem, contrast National Park Service and state management objectives, and characterize the risk to wolves living primarily in the park from hunting in surrounding areas. We recommend a framework for trans‐boundary wolf management that considers population, social structure, and ecosystem objectives on public lands, potential influences of harvests on population growth, depredation risks to livestock, and opportunities for hunters and wildlife watching. We also consider human attitudes and social norms, thereby allowing for differences in values in our prescriptions. This framework has been implemented in a key hunting area along the northern boundary of Yellowstone and is broadly applicable elsewhere for the management of wildlife species held in the public trust. © 2016 The Wildlife Society.
Abstract. This special issue on 'Science for the management of subtropical embayments: examples from Shark Bay and Florida Bay' is a valuable compilation of individual research outcomes from Florida Bay and Shark Bay from the past decade and addresses gaps in our scientific knowledge base in Shark Bay especially. Yet the compilation also demonstrates excellent research that is poorly integrated, and driven by interests and issues that do not necessarily lead to a more integrated stewardship of the marine natural values of either Shark Bay or Florida Bay. Here we describe the status of our current knowledge, introduce the valuable extension of the current knowledge through the papers in this issue and then suggest some future directions. For management, there is a need for a multidisciplinary international science program that focusses research on the ecological resilience of Shark Bay and Florida Bay, the effect of interactions between physical environmental drivers and biological control through behavioural and trophic interactions, and all under increased anthropogenic stressors. Shark Bay offers a 'pristine template' for this scale of study.
Ecosystem restoration in south Florida is a state and national priority centered on the Everglades wetlands. However, urban development pressures affect the restoration potential and remaining habitat functions of the natural undeveloped areas. Land use (LU) planning often focuses at the local level, but a better understanding of the cumulative effects of small projects at the landscape level is needed to support ecosystem restoration and preservation. The South Florida Ecosystem Portfolio Model (SFL EPM) is a regional LU planning tool developed to help stakeholders visualize LU scenario evaluation and improve communication about regional effects of LU decisions. One component of the SFL EPM is ecological value (EV), which is evaluated through modeled ecological criteria related to ecosystem services using metrics for (1) biodiversity potential, (2) threatened and endangered species, (3) rare and unique habitats, (4) landscape pattern and fragmentation, (5) water quality buffer potential, and (6) ecological restoration potential. In this article, we demonstrate the calculation of EV using two case studies: (1) assessing altered EV in the Biscayne Gateway area by comparing 2004 LU to potential LU in 2025 and 2050, and (2) the cumulative impact of adding limestone mines south of Miami. Our analyses spatially convey changing regional EV resulting from conversion of local natural and agricultural areas to urban, industrial, or extractive use. Different simulated local LU scenarios may result in different alterations in calculated regional EV. These case studies demonstrate methods that may facilitate evaluation of potential future LU patterns and incorporate EV into decision making.
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