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Gray wolves (Canis lupus) were extirpated from the northern Rocky Mountains (NRM) of the United States by the 1930s. Dispersing wolves from Canada naturally recolonized Montana and first denned there in 1986. In 1995 and 1996, the United States Fish and Wildlife Service reintroduced 66 wolves into central Idaho and Yellowstone National Park. By 2008, there were ≥1,655 wolves in ≥217 packs, including 95 breeding pairs in the NRM. From 1993–2008, we captured and radio-collared 1,681 wolves and documented 297 radio-collared wolves dispersing as lone individuals. We monitored dispersing wolves to determine their pack characteristics (i.e., pack size and surrounding pack density) before and after dispersal, their reproductive success, and eventual fate. We calculated summary statistics for characteristics of wolf dispersal (i.e., straight-line distance, age, time of year, sex ratio, reproduction, and survival), and we tested these characteristics for differences between sexes and age groups. Approximately, 10% of the known wolf population dispersed annually. The sex ratio of dispersals favored males (169 M, 128 F), but fewer dispersed males reproduced (28%, n = 47) than females (42%, n = 54). Fifty-nine percent of all dispersers of known age were adults (n = 156), 37% were yearlings (n = 99), and 4% were pups (n = 10). Mean age at dispersal for males (32.8 months) was not significantly different (P = 0.88) than for females (32.1 months). Yellowstone National Park had a significant positive effect on dispersal rate. Pack density in a wolf’s natal population had a negative effect on dispersal rate when the entire NRM population was considered. The mean NRM pack size (6.9) from 1993 to 2008 was smaller than the mean size of packs (10.0) from which wolves dispersed during that time period (P < 0.001); however, pack size was not in our most supported model. Dispersals occurred throughout the year but generally increased in the fall and peaked in January. The mean duration of all dispersals was 5.5 months. Radio-collared wolves dispersed between Montana, Idaho, and Wyoming to other adjacent states, and between the United States and Canada throughout the study. Mean straight-line distance between starting and ending points for dispersing males (98.1 km) was not significantly different than females (87.7 km; P = 0.11). Ten wolves (3.4%) dispersed distances >300 km. On average, dispersal distance decreased later in the study (P = 0.006). Sex, survival rate in the natal population, start date, dispersal distance, and direction were not significant predictors of dispersal rate or successful dispersal. Wolves that formed new packs were >11 times more likely to reproduce than those that joined packs and surrounding pack density had a negative effect on successful dispersal. Dispersal behavior seems to be innate in sexually mature wolves and thereby assures that genetic diversity will remain high and help conserve the NRM wolf population.

Sea level rise is causing shoreline erosion, increased coastal flooding, and marsh vulnerability to the impact of storms. Coastal marshes provide flood abatement, carbon and nutrient sequestration, water quality maintenance, and habitat for fish, shellfish, and wildlife, including species of concern, such as the saltmarsh sparrow (Ammodramus caudacutus). We present a climate change adaptation strategy (CCAS) adopted by scientific, management, and policy stakeholders for managing coastal marshes and enhancing system resiliency. A common adaptive management approach previously used for restoration projects was modified to identify climate-related vulnerabilities and plan climate change adaptive actions. As an example of implementation of the CCAS, we describe the stakeholder plans and management actions the US Fish and Wildlife Service and partners developed to build coastal resiliency in the Narrow River Estuaiy, RI, in the aftermath of Superstorm Sandy. When possible, an experimental BACI (before-after, control-impact) design, described as preand post-sampling at the impact site and one or more control sites, was incorporated into the climate change adaptation and implementation plans. Specific climate change adaptive actions and monitoring plans are described and include shoreline stabilization, restoring marsh drainage, increasing marsh elevation, and enabling upland marsh migration. The CCAS provides a ftamework and methodology for successfully managing coastal systems faced with deteriorating habitat, accelerated sea level rise, and changes in precipitation and storm patterns.

Grasslands, and the depressional wetlands that exist throughout them, are endangered ecosystems that face both climate and land-use change pressures. Tens of millions of dollars are invested annually to manage the existing fragments of these ecosystems to serve as critical breeding habitat for migratory birds. The North American Prairie Pothole Region (PPR) contains millions of depressional wetlands that produce between 50% and 80% of the continent’s waterfowl population. Previous modeling efforts suggested that climate change would result in a shift of suitable waterfowl breeding habitat from the central to the southeast portion of the PPR, an area where over half of the depressional wetlands have been drained. The implications of these projections suggest a massive investment in wetland restoration in the southeastern PPR would be needed to sustain waterfowl populations at harvestable levels. We revisited these modeled results indicating how future climate may impact the distribution of waterfowl-breeding habitat using up-to-date climate model projections and a newly developed model for simulating prairie-pothole wetland hydrology. We also presented changes to the number of “May ponds,” a metric used by the U.S. Fish and Wildlife Service to estimate waterfowl breeding populations and establish harvest regulations. Based on the output of 32 climate models and two emission scenarios, we found no evidence that the distribution of May ponds would shift in the future. However, our results projected a 12% decrease to 1% increase in May pond numbers when comparing the most recent climate period (1989–2018) to the end of the 21st century (2070–2099). When combined, our results suggest areas in the PPR that currently support the highest densities of intact wetland basins, and thus support the largest numbers of breeding-duck pairs, will likely also be the places most critical to maintaining continental waterfowl populations in an uncertain future.

Effectively managing take of wildlife resulting from human activities poses a major challenge for applied conservation. Demographic data essential to decisions regarding take are often expensive to collect and are either not available or based on limited studies for many species. Therefore, modeling approaches that efficiently integrate available information are important to improving the scientific basis for sustainable take thresholds. We used the prescribed take level (PTL) framework to estimate allowable take for bald eagles (Haliaeetus leucocephalus) in the conterminous United States. We developed an integrated population model (IPM) that incorporates multiple sources of information and then use the model output as the scientific basis for components of the PTL framework. Our IPM is structured to identify key parameters needed for the PTL and to quantify uncertainties in those parameters at the scale at which the United States Fish and Wildlife Service manages take. Our IPM indicated that mean survival of birds >1 year old was high and precise (0.91, 95% CI = 0.90–0.92), whereas mean survival of first-year eagles was lower and more variable (0.69, 95% CI = 0.62–0.78). We assumed that density dependence influenced recruitment by affecting the probability of breeding, which was highly imprecise and estimated to have declined from approximately 0.988 (95% CI = 0.985–0.993) to 0.66 (95% CI = 0.34–0.99) between 1994 and 2018. We sampled values from the posterior distributions of the IPM for use in the PTL and estimated that allowable take (e.g., permitted take for energy development, incidental collisions with human made structures, or removal of nests for development) ranged from approximately 12,000 to 20,000 individual eagles depending on risk tolerance and form of density dependence at the scale of the conterminous United States excluding the Southwest. Model-based thresholds for allowable take can be inaccurate if the assumptions of the underlying framework are not met, if the influence of permitted take is under-estimated, or if undetected population declines occur from other sources. Continued monitoring and use of the IPM and PTL frameworks to identify key uncertainties in bald eagle population dynamics and management of allowable take can mitigate this potential bias, especially where improved information could reduce the risk of permitting non-sustainable take.

International wildlife trade data are frequently used by government agencies, conservation organizations, and scientific researchers to study and protect species from overexploitation and prevent the spread of invasive species and introduction of zoonotic pathogens. Inaccurate data can lead to mistaken conclusions by researchers, the development of unsuccessful remedial conservation actions, and provide government officials with incorrect views of detrimental trade. The U.S. Fish and Wildlife Service (USFWS) maintains the world's most comprehensive national dataset of legal and illegal international wildlife trade recorded by individual shipments and species in its Law Enforcement Management Information System (LEMIS). Although the importance of LEMIS data is not to be understated, the errors and inconsistencies contained therein have not previously been adequately recognized or studied. Based on firsthand experiences with the creation and application of LEMIS data, this manuscript describes a variety of errors, biases, omissions, and an overall lack of data quality assurance. An independent audit of the LEMIS wildlife trade database and the service's policies, procedures, and protocols for managing this system is needed. Additional recommendations are also offered to develop better management standards and bring greater resources for managing LEMIS, asking the nongovernmental organization and intergovernmental organization user communities to play a role.

Human attitudes towards species and attributes of wildlife contribute to support for conservation. However, there is limited information on how perceptions of conservation as a concept and process influence attitudes towards endangered species conservation. Furthermore, the question of who society attributes as being responsible for the conservation of endangered species still looms. We address how perceptions towards wildlife and endangered species conservation predict ascriptions of responsibility for conservation through a survey of 1,049 residents of Arkansas, USA, about their attitudes towards and understandings of wildlife and endangered species conservation, their perceptions of and experiences with wildlife agencies, and their beliefs about the responsibilities various interested parties bear with regards to conserving endangered species. Respondents held generally positive attitudes towards wildlife conservation and endangered species conservation, as well as government wildlife agencies (US Fish and Wildlife Service and Arkansas Game and Fish Commission). Respondents perceived all interested parties (i.e., all Americans, all residents of Arkansas, licensed hunters/anglers in Arkansas, Arkansas landowners with endangered species on their land, and nongovernmental conservation organizations) as at least somewhat responsible for endangered species conservation in Arkansas. Ascriptions of responsibility to interested parties were often positively predicted by variables related to the importance of wildlife to ecosystem health and conservation costs. Our findings illustrate the perceived value of endangered species as a public resource, suggesting support for conservation efforts and their funding that has implications across the United States.

Widely used trade codes lack taxonomic granularity The volume of international trade in wildlife commodities is immense and, in many cases, is rising ( 1 ). Although there are already wildlife trade data sources [e.g., the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES) Trade Database and the U.S. Fish and Wildlife Service Law Enforcement Management Information System (LEMIS)], coverage of traded species or countries involved is not comprehensive. This can undermine supply-chain monitoring and fast aggregation of data to inform policy-making ( 2 ). We discuss whether widely used, but limited, international customs codes and governance might evolve to address these gaps.

Resource allocation for land acquisition is a common multiobjective problem that involves complex trade-offs. The National Wildlife Refuge System (NWRS) of the U.S. Fish and Wildlife Service currently uses the Targeted Resource Acquisition Comparison Tool (TRACT) to allocate funds from the Migratory Bird Conservation Fund (MBCF; established through the Migratory Bird Hunting and Conservation Act of 1934) for land acquisition based on cost–benefit analysis, regional priority rankings of candidate land parcels available for acquisition, and the overall biological contribution to duck population objectives. However, current policy encourages decision makers to consider societal and economic benefits of lands acquired, in addition to their biological benefits to waterfowl. These decisions about portfolio elements (i.e., individual land parcels) require an analysis of the difficult trade-offs among multiple objectives. In the last decade the application of multicriteria decision analysis (MCDA) methods has been instrumental in aiding decision makers with complex multiobjective decisions. In this study, we present an alternative approach to developing land-acquisition portfolios using MCDA and modern portfolio theory (MPT). We describe the development of a portfolio decision analysis tool using constrained optimization for land-acquisition decisions by the NWRS. We outline the decision framework, describe development of the prototype tool in Microsoft Excel, and test the results of the tool using land parcels submitted as candidates for MBCF funding in 2019. Our results indicate that the constrained optimization outperformed the traditional TRACT method and ad hoc portfolios developed using current NWRS criteria.

Private lands are often critical for successful species conservation, and the US Fish and Wildlife Service has increasingly utilized voluntary Candidate Conservation Agreements with Assurances (CCAAs) as a strategy for promoting private land conservation. CCAAs, however, present a challenge where the FWS, with its history as a regulatory entity, must now engage landowners as conservation partners. There is a deep culture of distrust among landowners, who are often suspicious of engaging with the agency, making it necessary for the FWS to build trusting relationships. Furthermore, FWS decisions often face litigation in the courts, where they may be overturned. This creates a challenge for CCAAs, as the agency is pulled between landowner demands for greater flexibility and a court system that emphasizes rigid compliance to established rules and procedures. This study seeks to understand what factors influenced the flexibility of agency staff and officials as they navigate the process of negotiating CCAAs amidst these competing demands for accountability. Three cases of CCAA development are presented, each aiming to protect the habitat for the greater sage-grouse and ease the regulatory burden on ranching communities, should the grouse become a federally protected species. In addition to the well-documented need for trust-building and maintenance, the findings of the study highlight the importance of shared goals, the participation of trusted intermediary organizations, and as well as the meaningful support and investment of senior FWS leadership in exploring creative, innovative solutions.

Documentation of international trade in non-CITES species is generally poor. As a result, illegal trade in nationally-protected non-CITES species is often hard to detect. To show that such illicit trade nevertheless occurs, this study has analysed import and export records of the Giant Blue-tongued Skink Tiliqua gigas for the European Union (EU) and the United States (US) between 1999 and 2015. EU trade data for T. gigas was obtained from the UNEP-WCMCM CITES Trade Database. Trade data for the US was extracted from the US Fish and Wildlife Service (USFWS) Law Enforcement Management Information System (LEMIS). We observed a sudden shift in source codes (from wild-caught to captive-bred) coinciding with legislative changes, which has been indicative of laundering practices in the past. In the US, no less than 45% of all imported T. gigas was declared as wild-caught, constituting a direct violation of Indonesia’s national laws and the US Lacey Act. The keeping of trade records is subjected to the willingness of individual countries, yet unwillingness to collect such data can severely threaten species when over-exploitation or laundering practices remain undetected. A CITES Appendix III-listing, obligating participating countries to maintain trade records, would facilitate improved detection and monitoring of illegal trade in nationally-protected species.