When a transmission hotspot for an environmentally persistent pathogen establishes in otherwise high-quality habitat, the disease may exert a strong impact on a host population. However, fluctuating environmental conditions lead to heterogeneity in habitat quality and animal habitat preference, which may interrupt the overlap between selected and risky habitats. We evaluated spatio-temporal patterns in anthrax mortalities in a plains zebra (Equus quagga) population in Etosha National Park, Namibia, incorporating remote-sensing and host telemetry data. A higher proportion of anthrax mortalities of herbivores was detected in open habitats than in other habitat types. Resource selection functions showed that the zebra population shifted habitat selection in response to changes in rainfall and vegetation productivity. Average to high rainfall years supported larger anthrax outbreaks, with animals congregating in preferred open habitats, while a severe drought forced animals into otherwise less preferred habitats, leading to few anthrax mortalities. Thus, the timing of anthrax outbreaks was congruent with preference for open plains habitats and a corresponding increase in pathogen exposure. Given shifts in habitat preference, the overlap in high-quality habitat and high-risk habitat is intermittent, reducing the adverse consequences for the population.
","language":"English","publisher":"The Royal Society","doi":"10.1098/rspb.2021.0582","usgsCitation":"Huang, Y., Joel, H., Küsters, M., Barandongo, Z., Cloete, C.C., Hartmann, A., Kamath, P., Kilian, J.W., Mfune, J.K., Shatumbu, G., Zidon, R., Getz, W., and Turner, W.C., 2021, Disease or drought: Environmental fluctuations release zebra from a potential pathogen-triggered ecological trap: Proceedings of the Royal Society B: Biological Sciences, v. 288, no. 1952, 20210582, 10 p., https://doi.org/10.1098/rspb.2021.0582.","productDescription":"20210582, 10 p.","ipdsId":"IP-122317","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":451956,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://escholarship.org/uc/item/5cj8c68f","text":"Publisher Index Page"},{"id":396601,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Namibia","otherGeospatial":"Etosha National Park","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[16.34498,-28.57671],[15.60182,-27.82125],[15.21047,-27.09096],[14.98971,-26.11737],[14.74321,-25.39292],[14.40814,-23.85301],[14.38572,-22.65665],[14.25771,-22.11121],[13.86864,-21.69904],[13.3525,-20.87283],[12.82685,-19.67317],[12.60856,-19.04535],[11.79492,-18.06913],[11.7342,-17.30189],[12.21546,-17.11167],[12.81408,-16.94134],[13.46236,-16.97121],[14.0585,-17.42338],[14.20971,-17.3531],[18.26331,-17.30995],[18.95619,-17.78909],[21.37718,-17.93064],[23.21505,-17.52312],[24.03386,-17.29584],[24.68235,-17.35341],[25.07695,-17.57882],[25.08444,-17.66182],[24.52071,-17.88712],[24.21736,-17.88935],[23.57901,-18.28126],[23.19686,-17.86904],[21.65504,-18.21915],[20.91064,-18.25222],[20.88113,-21.81433],[19.89546,-21.84916],[19.89577,-24.76779],[19.89473,-28.4611],[19.00213,-28.97244],[18.4649,-29.04546],[17.83615,-28.85638],[17.3875,-28.78351],[17.21893,-28.35594],[16.82402,-28.08216],[16.34498,-28.57671]]]},\"properties\":{\"name\":\"Namibia\"}}]}","volume":"288","issue":"1952","noUsgsAuthors":false,"publicationDate":"2021-06-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Huang, Yen-Hua","contributorId":287150,"corporation":false,"usgs":false,"family":"Huang","given":"Yen-Hua","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":836527,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Joel, Hendrina","contributorId":287154,"corporation":false,"usgs":false,"family":"Joel","given":"Hendrina","affiliations":[{"id":39588,"text":"University of Namibia","active":true,"usgs":false}],"preferred":false,"id":836531,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Küsters, Martina","contributorId":287157,"corporation":false,"usgs":false,"family":"Küsters","given":"Martina","affiliations":[{"id":61496,"text":"Etosha Ecological Institute","active":true,"usgs":false}],"preferred":false,"id":836534,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barandongo, Zoe R.","contributorId":287489,"corporation":false,"usgs":false,"family":"Barandongo","given":"Zoe R.","affiliations":[],"preferred":false,"id":836806,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cloete, Claudine C.","contributorId":287151,"corporation":false,"usgs":false,"family":"Cloete","given":"Claudine","email":"","middleInitial":"C.","affiliations":[{"id":61496,"text":"Etosha Ecological Institute","active":true,"usgs":false}],"preferred":false,"id":836528,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hartmann, Axel","contributorId":287153,"corporation":false,"usgs":false,"family":"Hartmann","given":"Axel","email":"","affiliations":[{"id":61496,"text":"Etosha Ecological Institute","active":true,"usgs":false}],"preferred":false,"id":836530,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kamath, Pauline L.","contributorId":287155,"corporation":false,"usgs":false,"family":"Kamath","given":"Pauline L.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":836532,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kilian, J. 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Satellite telemetry and archival geolocator tags were used to determine the migration patterns and wintering locations of breeding adult and young of the year juvenile common loons captured and marked on lakes in Minnesota, Wisconsin and Michigan. Adult loons typically traveled from breeding lakes, often via larger staging lakes, to the Great Lakes (primarily Lake Michigan) and then on to wintering areas. Most radiomarked juvenile common loons utilized natal lakes or local lakes through mid-November. Subsequently, the first fall migration of juvenile loons was generally initiated later, and more direct and quicker to wintering areas relative to adults. Among adult (n = 103) and juvenile (n = 23) loons that completed fall migration, most wintered in the Gulf of Mexico (GOM), with smaller proportions wintering off the southern Atlantic Coast or impoundments in the southeastern United States. Spring migration of adults to breeding lakes was less prolonged than fall migration, with adult male loons tending to depart wintering areas earlier than adult females. Juvenile common loons migrated during their first spring from wintering sites in the GOM to summer in the Gulf of St Lawrence/Nova Scotia Coastal region. Juvenile mortality was largely linked to parasitic infection and emaciation; spring appeared to be a survival bottleneck among juvenile loons monitored in our study. Our results identify several areas where common loon conservation efforts could be directed to protect key habitats and minimize stressors during the non-breeding period.
In the North Atlantic Ocean, multidecadal variability in sea surface temperatures (SSTs) over the past several centuries has largely been inferred through terrestrial proxies and decadally resolved marine proxies. Annually resolved proxy records from marine archives provide valuable insight into this variability, but are especially rare from high latitude environments, particularly for centennial timescales. We constructed continuous, absolutely dated records of shell growth (1449–2014 CE; 564 years) and oxygen isotope ratios (δ18Oshell; 1539–2014 CE; 476 years) from shells of the bivalve Arctica islandica from coastal northern Norway, a location sensitive to large-scale North Atlantic Ocean dynamics. An annual (January–December) SST reconstruction derived from δ18Oshell for the past five centuries suggests an increase of at least 2°C from the mid-18th century to 2014. The SST reconstruction correlates significantly with instrumental records and with other proxy reconstructions in the southern Barents Sea region. Spectral analysis of the shell growth and isotope records supports evidence for Atlantic multidecadal variability (65–80 year periodicity) extending into polar and subpolar latitudes for the past five centuries. These results provide additional evidence that multidecadal variability in SSTs are a persistent feature of the North Atlantic marine system.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020JC017074","usgsCitation":"Mette, M., Wanamaker, A.D., Retelle, M.J., Carroll, M.L., Andersson, C., and Ambrose, W.G., 2021, Persistent multidecadal variability since the 15th century in the southern Barents Sea derived from annually resolved shell-based records: Journal of Geophysical Research: Oceans, v. 126, no. 6, e2020JC017074, 22 p., https://doi.org/10.1029/2020JC017074.","productDescription":"e2020JC017074, 22 p.","ipdsId":"IP-124748","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":386676,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Norway, Iceland, Greenland","otherGeospatial":"Greenland Sea, Iceland Sea, Norwegian Sea, Barents Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 5.2734375,\n 58.26328705248601\n ],\n [\n 6.6796875,\n 61.60639637138628\n ],\n [\n 15.99609375,\n 67.40748724648756\n ],\n [\n 27.24609375,\n 70.78690984117928\n ],\n [\n 61.69921875,\n 77.19617635994676\n ],\n [\n 15.99609375,\n 76.63922560965885\n ],\n [\n 4.04296875,\n 79.74993207509453\n ],\n [\n -18.45703125,\n 79.20430943611333\n ],\n [\n -24.609375,\n 73.3782147793946\n ],\n [\n -36.73828124999999,\n 65.94647177615738\n ],\n [\n -42.01171875,\n 62.67414334669093\n ],\n [\n -29.003906249999996,\n 52.482780222078226\n ],\n [\n -11.42578125,\n 57.040729838360875\n ],\n [\n -0.87890625,\n 61.52269494598361\n ],\n [\n 5.2734375,\n 58.26328705248601\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"126","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-06-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Mette, Madelyn Jean 0000-0002-4504-8847","orcid":"https://orcid.org/0000-0002-4504-8847","contributorId":260511,"corporation":false,"usgs":true,"family":"Mette","given":"Madelyn Jean","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":818062,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wanamaker, Alan D. Jr.","contributorId":260512,"corporation":false,"usgs":false,"family":"Wanamaker","given":"Alan","suffix":"Jr.","email":"","middleInitial":"D.","affiliations":[{"id":52605,"text":"Iowa State University, USA","active":true,"usgs":false}],"preferred":false,"id":818063,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Retelle, Michael J. 0000-0002-5341-0711","orcid":"https://orcid.org/0000-0002-5341-0711","contributorId":260513,"corporation":false,"usgs":false,"family":"Retelle","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":52606,"text":"Bates College, USA; University Centre in Svalbard, Norway","active":true,"usgs":false}],"preferred":false,"id":818064,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carroll, Michael L. 0000-0002-1530-6016","orcid":"https://orcid.org/0000-0002-1530-6016","contributorId":260514,"corporation":false,"usgs":false,"family":"Carroll","given":"Michael","email":"","middleInitial":"L.","affiliations":[{"id":52607,"text":"Akvaplan-niva, FRAM - High North Research Centre for Climate and the Environment, Norway","active":true,"usgs":false}],"preferred":false,"id":818065,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Andersson, Carin 0000-0002-7113-6066","orcid":"https://orcid.org/0000-0002-7113-6066","contributorId":260515,"corporation":false,"usgs":false,"family":"Andersson","given":"Carin","email":"","affiliations":[{"id":52608,"text":"NORCE Norwegian Research Centre, Norway; Bjerknes Centre for Climate Research, Norway","active":true,"usgs":false}],"preferred":false,"id":818066,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ambrose, William G. 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Such data are particularly valuable for headwater streams, which comprise the vast majority of channel length in stream networks, are often non-perennial, and are frequently the most data deficient. Datasets of surface water presence exist across multiple data collection groups in the United States but are not well aligned for easy integration. Given the value of these data, a unified approach for organizing information on surface water presence and absence collected by diverse surveys would facilitate more effective and broad application of these data and address the gap in streamflow data in headwaters. In this paper, we highlight the numerous existing datasets on surface water presence in headwater streams, including recently developed crowdsourcing approaches. We identify the challenges of integrating multiple surface water presence/absence datasets that include differences in the definitions and categories of streamflow status, data collection method, spatial and temporal resolution, and accuracy of geographic location. Finally, we provide a list of critical and useful components that could be used to integrate different streamflow permanence datasets.
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Center","active":false,"usgs":true}],"preferred":true,"id":817404,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johnson, Sherri L 0000-0002-4223-3465","orcid":"https://orcid.org/0000-0002-4223-3465","contributorId":192210,"corporation":false,"usgs":false,"family":"Johnson","given":"Sherri","email":"","middleInitial":"L","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":817405,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McShane, Ryan R. 0000-0002-3128-0039","orcid":"https://orcid.org/0000-0002-3128-0039","contributorId":219009,"corporation":false,"usgs":true,"family":"McShane","given":"Ryan R.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817406,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Dunn, Sarah Beth 0000-0003-4463-0074","orcid":"https://orcid.org/0000-0003-4463-0074","contributorId":260169,"corporation":false,"usgs":true,"family":"Dunn","given":"Sarah","email":"","middleInitial":"Beth","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817407,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70228896,"text":"70228896 - 2021 - Integrated hydrology and operations modeling to evaluate climate change impacts in an agricultural valley irrigated with snowmelt runoff","interactions":[],"lastModifiedDate":"2022-02-23T12:55:03.615285","indexId":"70228896","displayToPublicDate":"2021-06-09T06:47:57","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Integrated hydrology and operations modeling to evaluate climate change impacts in an agricultural valley irrigated with snowmelt runoff","docAbstract":"Applying models to developed agricultural regions remains a difficult problem because there are no existing modeling codes that represent both the complex physics of the hydrology and anthropogenic manipulations to water distribution and consumption. We apply an integrated groundwater – surface water and hydrologic river operations model to an irrigated river valley in northwestern Nevada/northern California, United States to evaluate the impacts of climate change on snow-fed agricultural systems that use surface water and groundwater conjunctively. We explicitly represent individual surface water rights within the hydrologic model and allow the integrated code to change river diversions in response to earlier snowmelt runoff and water availability. Historically under-used supplemental groundwater rights are dynamically activated within the model to offset diminished surface water deliveries. The model accounts for feedbacks between the natural hydrology and anthropogenic stresses, which is a first-of-its-kind assessment of the impacts of climate change on individual water rights, and more broadly on river basin operations. Earlier snowmelt decreases annual surface water deliveries to all water rights, not just the junior water rights, owing to a lack of surface water storage in the upper river basin capable of capturing earlier runoff. Conversely, downstream irrigators with access to reservoir storage benefit from earlier runoff flowing past upstream points of diversion prior to the start of the irrigation season. Despite regional shifts toward greater reliance on groundwater for irrigation, crop consumption (a common surrogate for crop yield) decreases due to spatiotemporal changes in water supply that preferentially impact a subset of growers in the region.
This final report summarizes activities, outcomes, and lessons learned from a 3-year project titled “Climate Change Adaptation for Coastal National Wildlife Refuges” with the Cape Romain National Wildlife Refuge (NWR) and local partners in the surrounding South Carolina Lowcountry. The Lowcountry is classified as the 10-county area encompassing the coastal plain of South Carolina (this report specifically focuses on Berkeley, Charleston, and Georgetown Counties). The goals of this work, sponsored by the U.S. Geological Survey’s Southeast Climate Adaptation Science Center (SECASC), were to foster active engagement with stakeholders; to develop a comprehensive definition of adaptation problems faced by agencies, organizations, and individuals near the Cape Romain NWR that accounts for global change, local values, knowledge and perceptions; and to encourage social learning and building of effective networks and trust across South Carolina Lowcountry organizations and individuals. Although project scoping began at the scale of the Atlantic seaboard, by engaging with NWRs from Massachusetts to Florida, participating refuge personnel eventually selected the Cape Romain NWR to serve as a case study for testing our goals. The Cape Romain Partnership for Coastal Conservation was established to address global change impacts at a regional level and includes representation from Federal and State resource agencies, local conservation nongovernmental organizations, and organizations representing underserved community interests. Research topics, originating from discussions with Cape Romain Partnership for Coastal Conservation members, focused on quantifying key drivers of change including localized sea-level rise (SLR) predictions, estimates of coastal hurricane inundation as amplified by SLR, and urban growth trends and forecasts. These key drivers provided a foundation to engage stakeholders in planning exercises to begin a process of collective understanding and collaborative decision making. The goal of this process was to develop collective strategies of adaptation to enhance community and ecosystem resilience in the South Carolina Lowcountry.
South Carolina’s Lowcountry is experiencing rapid environmental and social transformation because of SLR rates approaching twice the global average, chronic tidal flooding and catastrophic storm surges, erosion and loss of habitats that provide essential services to wildlife and humans, and increasing social polarization fueled by aggressive low-density urban growth and other forms of land conversion. To support characterizations of plausible future scenarios, we used available or, in some cases, developed new models to project future conditions of key environmental and social-economic drivers. Because of the imprecision of mean global SLR projections, the SECASC commissioned a climatological study to account for local conditions and multiple representative concentration pathways to project a tailored distribution of future sea levels. These projections were matched to SLR scenarios provided by existing models to anticipate the range of future coastal habitat changes in the South Carolina Lowcountry. SLR scenarios were also incorporated into existing storm-surge models, which do not account for alternate baseline sea levels, to project the local effects of future hurricanes. To evaluate the extent and effects of population growth and urban expansion, we relied on an existing urban-growth model to map the spatial distribution of land-conversion probabilities, the total area of which is predicted to increase twofold to threefold over the next 60 years. In addition to this simplified model, an econometric model is in development to account for nonlinear feedback dynamics in land value, land use, and ecosystem service production. Although not yet completed, the goals of this model are to produce more-detailed projections of growth dynamics and to allow predictions of development patterns resulting from alternate land-use planning policies and incentives.
Collaborative planning for an uncertain future requires more than providing decision makers with information on future physical and ecological conditions; developing effective and consensual strategies must also integrate sociological values, multiple cultural perspectives, and an understanding of human behavior. To support broad stakeholder engagement in integrative approaches to adaptation planning, emphasis was placed on the importance of considering differences in how individuals perceive their environment and create meaning. Because cultural frameworks form the basis for perceptions and, ultimately, the behaviors of individuals and institutions, we describe a model of human behavior and how it can be used to understand the effect of cultural complexity and variation in perception on choices, behavioral change, and long-term maintenance of behaviors. We consider a model commonly used in the field of behavioral health that accommodates variation in human perception when describing stages of behavior and the dynamics of behavioral change. Tailoring communication and engagement activities to targeted stakeholders is likely to benefit from increased understanding of behavioral change processes.
The complex nature of this problem limited the usefulness of a traditional decision-analytic approach, we explored alternative methods for engagement, collaborative learning and decision making. Recognizing that project partners and Lowcountry stakeholders may be at different stages of preparedness and interest level for modifying behavior as a function of global change, we facilitated a scenario-planning exercise to familiarize partners with this well-established approach for communicating the opportunities and threats arising under alternative, plausible futures. We developed narratives for four alternative South Carolina Lowcountry scenarios to be used in later strategic planning that focus on quantitative trends for three primary drivers with high impact and high uncertainty: manifestations of climate change, social-political shifts at a global level, and forces of local value and power structures. This scenario-planning exercise underscored the complex relation between the temporospatial scale of the production of ecological goods and services and the institutional scale at which they are managed. We then guided the partners through an assessment of the relevant strengths and weaknesses of the Cape Romain Partnership for Coastal Protection, using the threats and opportunities characterized by each scenario to understand how the partnership might respond when attempting to meet conservation and societal objectives. The partnership identified key strengths including partnership experience, outreach and technical capacities, a substantial conservation land base, and high social cohesion in the South Carolina Lowcountry. Limited communication expertise, institutional inertia, and insufficient staffing and funding were recognized as important weaknesses across the partnership. By examining and scoring combinations of internal strengths and weaknesses and external threats and opportunities, the partnership developed sets of prioritized strategies to consider in the context of a given scenario. Although we had insufficient time to examine all scenarios in detail, the intent was to identify a portfolio of strategic actions to address threats and opportunities represented in multiple plausible futures. Top-ranking strategies encompassed a range of actions that focused on strengthening the conservation community and communicating the benefits of nature (that is, ecosystem services) to leveraging partnerships to expand land protection.
This report also details the methods and preliminary results of several models developed or applied in support of this project. Two parcel-selection algorithms were used to evaluate anticipated habitat changes and patterns of urban growth to guide decisions on optimal conservation reserve design to protect habitat communities. One approach used a widely available planning software (MARXAN) to maximize conservation benefits near the Cape Romain NWR, whereas the other approach was a novel application of economic theory to account for uncertainty in future conditions and for the risks of unanticipated habitat loss. This latter model applies modern portfolio theory to estimate the risk of investing in any portfolio of land parcels (that is, candidate “reserves”) under climate-change uncertainty by quantifying the variation and spatial correlation of conservation benefits derived from each portfolio. We expanded the range of actions beyond simply whether or not to invest in a set of land parcels, an approach commonly used in spatial conservation planning, to also include consideration of divestment from currently protected lands. Such refinements allow for better accounting of system dynamics and can evaluate the benefits of flexible conservation tools such as rolling easements. Model results were conditional on a decision maker’s risk tolerance but highlighted general strategies of land conservation to increase future habitat representation beyond what is expected under the current protected land base. We built models that may help inform coastal planning by estimating salinity dynamics and the performance of oyster reef restoration efforts to predict the combined effects of global change and management of freshwater flows on coastal habitats and the processes that contribute to their resilience. These models can support restoration decisions by evaluating the expected benefits of site locations for shoreline protection and fisheries production. Lastly, we developed a spatially explicit economic model that predicts feedback dynamics among land value, land-use change, and effects on ecosystem service provision to explore zoning policies and incentives on urban growth and ecosystem services.
We summarize these efforts with insights and considerations for the Cape Romain Partnership for Coastal Protection to continue to engage stakeholders in effective adaptation planning. First, notions of place attachment (referred to as sense of place), and the role of culture in social discourse are increasingly being used to understand the complex interactions between society and the environment and how societies respond and adapt to climate change. Sense of place was a unifying theme whenever the future of the South Carolina Lowcountry was discussed. The contribution of the South Carolina Lowcountry’s environmental wealth, rich cultural heritage, and quality of life to sense of place has important implications for how adaptation planning might best be pursued. More community-based governance of the commons (in other words, natural and cultural resources held in common), in which broad stakeholder participation and power sharing are key elements, is considered important. This devolution of governance is characterized by polycentric institutions and self-organizing social networks that promote a local culture of knowledge sharing, problem solving, and learning. These so-called bridging organizations (or individuals) often provide the leadership necessary to bring together potentially disparate Government agencies and institutions, private organizations, and individuals in a collective process of problem solving. Our observations also suggest that the conservation community in the South Carolina Lowcountry views its activities as integral to the broader governance of social-ecological systems, in which responses to the forces of global change are mediated through culture, economics, and politics. Rather than directly competing with other interests, the South Carolina Lowcountry conservation community seems to embrace an interpretation of conservation in which the fundamental objective is the quality of human life rather than environmental protection.
Fundamental to the types of governance reforms described above is the notion of coproduction, in which experts and users collaborate to develop a shared body of knowledge. In this approach, scientists work with stakeholders to help frame questions, design research, and collect and analyze data. Such sustained collaborations are increasingly believed to be an effective way to produce useable (or actionable) science. The emphasis on social learning, leveraging strong social networks, coordinating and deliberating among diverse stakeholders, and applying principles of adaptive management is an essential contribution to adaptive capacity. The diverse and robust set of scientific approaches, methods to help stakeholders collaborate in effective and goal-driven planning processes, and decision tools resulting from this project hopefully will assist Cape Romain NWR and its partners prepare for climatic, ecological, and social changes over the coming decades.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211021","usgsCitation":"Eaton, M.J., Johnson, F.A., Mikels-Carrasco, J., Case, D.J., Martin, J., Stith, B., Yurek, S., Udell, B., Villegas, L., Taylor, L., Haider, Z., Charkhgard, H., and Kwon, C., 2021, Cape Romain Partnership for Coastal Protection: U.S. Geological Survey Open-File Report 2021–1021, 158 p., https://doi.org/10.3133/ofr20211021.","productDescription":"xii, 158 p.","numberOfPages":"174","onlineOnly":"Y","ipdsId":"IP-100705","costCenters":[{"id":40926,"text":"Southeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":386276,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1021/coverthb.jpg"},{"id":386277,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1021/ofr20211021.pdf","text":"Report","size":"33.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021–1021"}],"country":"United States","state":"South Carolina","otherGeospatial":"Cape Romain National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.8431396484375,\n 32.78842902722552\n ],\n [\n -79.815673828125,\n 32.765336175015776\n ],\n [\n -79.63577270507811,\n 32.85421076375021\n ],\n [\n -79.55886840820312,\n 32.92455477363828\n ],\n [\n -79.47784423828125,\n 33.00981511270531\n ],\n [\n -79.3487548828125,\n 33.0063602132054\n ],\n [\n -79.27047729492188,\n 33.12490094278685\n ],\n [\n -79.34600830078125,\n 33.16169660598766\n ],\n [\n -79.50393676757812,\n 33.060471419708115\n ],\n [\n -79.60968017578125,\n 32.99599470276581\n ],\n [\n -79.6673583984375,\n 32.93838636388491\n ],\n [\n -79.68658447265625,\n 32.91533251206152\n ],\n [\n -79.8431396484375,\n 32.78842902722552\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Southeast Climate Adaptation Science Center
U.S. Geological Survey
127 David Clark Labs
Raleigh, NC 27695
This U.S. Geological Survey Open-File Report provides information from assessments of Earth observation sensors completed by the U.S. Geological Survey Earth Resources Observation and Science Cal/Val Center of Excellence. These reports are provided as independent measures of basic system performance by the Earth Resources Observation and Science Cal/Val Center of Excellence team by completing the geometric, radiometric, and spatial characterization. The results of these assessments are a snapshot in time.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211030","usgsCitation":"Ramaseri Chandra, S.N., comp., 2021, System characterization of Earth observation sensors: U.S. Geological Survey Open-File Report 2021–1030, [variously paged], https://doi.org/10.3133/ofr20211030.","productDescription":"iii, 2 p.","numberOfPages":"10","onlineOnly":"Y","ipdsId":"IP-129352","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":386313,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1030/ofr20211030.pdf","text":"Report","size":"21.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021–1030"},{"id":386312,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1030/coverthb.jpg"}],"contact":"Director, Earth Resources Observation and Science Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198
Lamprey are living representatives of the basal vertebrate agnathan lineage. Many lamprey species are anadromous with a complex life cycle that includes metamorphosis from a freshwater (FW) benthic filter-feeding larva into a parasitic juvenile which migrates to seawater (SW) or (in landlocked populations) large bodies of FW. After a juvenile/adult trophic period that can last up to two years, adults return to rivers and migrate upstream to spawn in FW. Therefore, the osmoregulatory challenges anadromous lamprey face during migrations are similar to those of derived diadromous jawed fishes because lamprey osmoregulate to maintain plasma osmolality at approximately one third SW as well. While in FW, lamprey gills actively take up ions and their kidneys excrete excess water to compensate for passive ion loss and water gain. When in SW, lamprey drink SW and their gills actively secrete excess ions (to compensate for salt loading and dehydration). Nevertheless, lampreys diverged from the rest of the vertebrate lineage more than 500 million years ago, which is reflected in similarities and differences in ionocyte (ion transport cell) ultrastructure and distribution as well as tight junctions in epithelia. The current review discusses recent advances in our understanding of ion transport mechanisms of lamprey with a focus on sea lamprey (Petromyzon marinus) due to the large literature on this species. We emphasize key molecular and cellular mechanisms in osmoregulatory organs (i.e., gill, kidney and gut) and provide insight relative to what is known in other fishes and identify areas where more research is needed.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2021.05.003","usgsCitation":"Ferreira-Martins, D., Wilson, J.M., Kelly, S.P., Kolosov, D., and McCormick, S.D., 2021, A review of osmoregulation in lamprey: Journal of Great Lakes Research, v. 47, no. Suppl 1, p. S59-S71, https://doi.org/10.1016/j.jglr.2021.05.003.","productDescription":"13 p.","startPage":"S59","endPage":"S71","ipdsId":"IP-120788","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":451972,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2021.05.003","text":"Publisher Index Page"},{"id":387197,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"Suppl 1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ferreira-Martins, Diogo","contributorId":228920,"corporation":false,"usgs":false,"family":"Ferreira-Martins","given":"Diogo","email":"","affiliations":[{"id":37062,"text":"UMASS","active":true,"usgs":false}],"preferred":false,"id":819314,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Jonathan M","contributorId":261133,"corporation":false,"usgs":false,"family":"Wilson","given":"Jonathan","email":"","middleInitial":"M","affiliations":[{"id":41188,"text":"Wilfrid Laurier University","active":true,"usgs":false}],"preferred":false,"id":819315,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelly, Scott P","contributorId":261134,"corporation":false,"usgs":false,"family":"Kelly","given":"Scott","email":"","middleInitial":"P","affiliations":[{"id":16184,"text":"York University","active":true,"usgs":false}],"preferred":false,"id":819316,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kolosov, Dennis","contributorId":261136,"corporation":false,"usgs":false,"family":"Kolosov","given":"Dennis","email":"","affiliations":[{"id":16184,"text":"York University","active":true,"usgs":false}],"preferred":false,"id":819317,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":819318,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70221219,"text":"ofr20211052 - 2021 - Fluvial Egg Drift Simulator (FluEgg) user’s manual","interactions":[],"lastModifiedDate":"2021-06-09T15:26:43.415516","indexId":"ofr20211052","displayToPublicDate":"2021-06-08T11:02:47","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-1052","displayTitle":"Fluvial Egg Drift Simulator (FluEgg) User’s Manual","title":"Fluvial Egg Drift Simulator (FluEgg) user’s manual","docAbstract":"The Fluvial Egg Drift Simulator (FluEgg) was developed to simulate the transport and dispersion of invasive carp eggs and larvae in a river. FluEgg currently (2020) supports modeling of bighead carp (Hypophthalmichthys nobilis), silver carp (H. molitrix), and grass carp (Ctenopharyngodon idella), with the planned addition of black carp (Mylopharyngodon piceus) once developmental data are available. FluEgg integrates the biological development of invasive carp eggs and larvae with a particle transport model that simulates the advection and dispersion of the eggs and larvae based on user-supplied one-dimensional hydraulic conditions. FluEgg can be used to evaluate the hydrodynamic suitability of a river for invasive carp spawning, to inform sampling and monitoring efforts, and to identify the most likely spawning areas of captured eggs or larvae.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211052","usgsCitation":"Domanski, M.M., LeRoy, J.Z., Berutti, M., and Jackson, P.R., 2021, Fluvial Egg Drift Simulator (FluEgg) user’s manual: U.S. Geological Survey Open-File Report 2021–1052, 30 p., https://doi.org/10.3133/ofr20211052.","productDescription":"Report: vii, 30 p.; Software Release","numberOfPages":"42","onlineOnly":"Y","ipdsId":"IP-120778","costCenters":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":386269,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1052/coverthb.jpg"},{"id":386270,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1052/ofr20211052.pdf","text":"Report","size":"2.08 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021–1052"},{"id":386273,"rank":3,"type":{"id":35,"text":"Software Release"},"url":"https://doi.org/10.5066/P93UCQR2","text":"USGS software release","linkHelpText":"— FluEgg"}],"contact":"Director, Central Midwest Water Science Center
U.S. Geological Survey
405 North Goodwin
Urbana, IL 61801
Earthquake swarms are manifestations of aseismic driving processes deep in the crust. We examine the spatiotemporal distribution of aseismic processes in Southern California using a 12-years catalog of swarms derived with deep learning algorithms. In a core portion of the plate boundary region, which is not associated with elevated heat flow, we identify 92 long-duration swarms ranging from 6 months to 7 years that constitute 26.4% of the total seismicity. We find that 53% of the swarms exhibit ultra-slow diffusive patterns with propagating backfronts, consistent with expectations for natural fluid injection processes. The chronology of the swarms indicates that the aseismic driving processes were active at all times during 2008–2020. The observations challenge common views about the nature of swarms, which would characterize any one of these sequences as anomalous. The regional prevalence of these sequences suggests that transient fluid injection processes play a key role in crustal fluid transport.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021GL092465","usgsCitation":"Ross, Z.E., and Cochran, E.S., 2021, Evidence for latent crustal fluid injection transients in southern California from long-duration earthquake swarms: Geophysical Research Letters, v. 48, no. 12, e2021GL092465, 12 p., https://doi.org/10.1029/2021GL092465.","productDescription":"e2021GL092465, 12 p.","ipdsId":"IP-128760","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":451975,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2021gl092465","text":"External Repository"},{"id":399670,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117,\n 33\n ],\n [\n -115.75,\n 33\n ],\n [\n -115.75,\n 33.75\n ],\n [\n -117,\n 33.75\n ],\n [\n -117,\n 33\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"48","issue":"12","noUsgsAuthors":false,"publicationDate":"2021-06-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Ross, Zachary E.","contributorId":196001,"corporation":false,"usgs":false,"family":"Ross","given":"Zachary","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":841359,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":841360,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70228415,"text":"70228415 - 2021 - Long-term population fluctuations of a Burrowing Owl population on Kirtland Air Force Base, New Mexico, USA","interactions":[],"lastModifiedDate":"2022-02-10T16:06:53.252014","indexId":"70228415","displayToPublicDate":"2021-06-08T10:00:25","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Long-term population fluctuations of a Burrowing Owl population on Kirtland Air Force Base, New Mexico, USA","docAbstract":"Western Burrowing Owls (Athene cunicularia hypugaea; hereafter, Burrowing Owls) were once widespread residents of grasslands throughout western North America, but their range has contracted, and abundance has declined in some regions. The causes of declines and geographic variation in population trends of Burrowing Owls are unclear but may be linked to changing land use and urbanization. Burrowing Owls are often found in association with airfields and airports, and their presence at such facilities is sometimes considered to be in conflict with those operations. Documenting the long-term persistence of Burrowing Owls at active airfields can help airfield managers who face decisions regarding compatibility of owls and airfield operations. We report the results of a long-term effort to monitor Burrowing Owls on Kirtland Air Force Base in New Mexico, USA, including the rapid recovery of Burrowing Owl numbers from near-extirpation and the relationships between abundance and other demographic traits. The number of breeding pairs of Burrowing Owls increased from one pair in 2013 to 28 pairs in 2019 and 2020, and the number of fledglings produced increased from one in 2013 to 84 in 2019 and 61 in 2020. The recovery was not uniform across all areas of Kirtland Air Force Base, and some formerly occupied areas remained unoccupied. We documented dispersal outside the Air Force base boundary and that the number of breeding pairs was more strongly influenced by the number of offspring produced in the prior year than the number of owls returning from prior years, which indicated that the population is part of a larger meta-population. Our results demonstrate that the maintenance of Burrowing Owl populations is not necessarily at odds with safe airfield operations, that Burrowing Owls exhibit complex population dynamics, and can rapidly recolonize previously occupied areas if habitat and nest sites remain suitable.
","language":"English","publisher":"Raptor Research Foundation","doi":"10.3356/0892-1016-55.2.241","usgsCitation":"Lundblad, C., Conway, C.J., Cruz-McDonnell, K., Doublet, D., Desmond, M.J., Navis, C., and Ongman, K., 2021, Long-term population fluctuations of a Burrowing Owl population on Kirtland Air Force Base, New Mexico, USA: Journal of Raptor Research, v. 55, no. 2, p. 241-254, https://doi.org/10.3356/0892-1016-55.2.241.","productDescription":"14 p.","startPage":"241","endPage":"254","ipdsId":"IP-115742","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395775,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Kirtland Air Force Base","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.61407470703125,\n 34.9501163530137\n ],\n [\n -106.35314941406249,\n 34.9501163530137\n ],\n [\n -106.35314941406249,\n 35.08\n ],\n [\n -106.61407470703125,\n 35.08\n ],\n [\n -106.61407470703125,\n 34.9501163530137\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"55","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lundblad, Carl G.","contributorId":265812,"corporation":false,"usgs":false,"family":"Lundblad","given":"Carl G.","affiliations":[{"id":27205,"text":"U. Arizona","active":true,"usgs":false}],"preferred":false,"id":834250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":834249,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cruz-McDonnell, Kristen","contributorId":275732,"corporation":false,"usgs":false,"family":"Cruz-McDonnell","given":"Kristen","email":"","affiliations":[{"id":56887,"text":"es","active":true,"usgs":false}],"preferred":false,"id":834251,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doublet, Dejeanne","contributorId":275733,"corporation":false,"usgs":false,"family":"Doublet","given":"Dejeanne","email":"","affiliations":[{"id":27575,"text":"NMSU","active":true,"usgs":false}],"preferred":false,"id":834252,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Desmond, Martha J.","contributorId":275734,"corporation":false,"usgs":false,"family":"Desmond","given":"Martha","email":"","middleInitial":"J.","affiliations":[{"id":27575,"text":"NMSU","active":true,"usgs":false}],"preferred":false,"id":834253,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Navis, Corrie","contributorId":275735,"corporation":false,"usgs":false,"family":"Navis","given":"Corrie","email":"","affiliations":[{"id":39599,"text":"ui","active":true,"usgs":false}],"preferred":false,"id":834254,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ongman, Kurt","contributorId":275736,"corporation":false,"usgs":false,"family":"Ongman","given":"Kurt","email":"","affiliations":[{"id":39599,"text":"ui","active":true,"usgs":false}],"preferred":false,"id":834255,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70227152,"text":"70227152 - 2021 - Genetic structure and population history in two critically endangered Kaua‘i honeycreepers","interactions":[],"lastModifiedDate":"2022-01-03T15:57:43.296531","indexId":"70227152","displayToPublicDate":"2021-06-08T09:43:16","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Genetic structure and population history in two critically endangered Kaua‘i honeycreepers","docAbstract":"Population sizes of endemic songbirds on Kaua‘i have decreased by an order of magnitude over the past 10–15 years to dangerously low numbers. The primary cause appears to be the ascent of invasive mosquitoes and Plasmodium relictum, the agent of avian malaria, into elevations formerly free of introduced malarial parasites and their vectors. Given that these declines in native bird populations appear to be continuing, last resort measures to save these species from extinction, such as conservation breeding, are being implemented. Using 200–1439 SNPs from across the genome, we assessed kinship among individuals, levels of genetic variation, and extent of population decline in wild birds of the two most critically endangered Kaua‘i endemic species, the ‘akikiki (Oreomystis bairdi) and ‘akeke‘e (Loxops caeruleirostris). We found relatively high genomic diversity within individuals and little evidence of spatial population genetic structure. Populations displayed genomic signatures of declining population size, but individual inbreeding coefficients were universally negative, likely indicating inbreeding avoidance. Diversity within the founding conservation breeding population largely mirrored that in the wild, indicating that genetic variation in the conservation breeding population is representative of the wild population and suggesting that the current breeding program captures existing variation. Thus, although existing genetic diversity is likely lower than in historical populations, contemporary variation has been retained through high gene flow and inbreeding avoidance. Nonetheless, current effective population size for both species was estimated at fewer than 20 individuals, highlighting the urgency of management actions to protect these species.
","language":"English","publisher":"Springer","doi":"10.1007/s10592-021-01382-x","usgsCitation":"Cassin-Sackett, L., Campana, M.G., McInerney, N., Lim, H.C., Przelomska, N., Masuda, B., Chesser, R., Paxton, E.H., Foster, J.T., Crampton, L.H., and Fleischer, R., 2021, Genetic structure and population history in two critically endangered Kaua‘i honeycreepers: Conservation Genetics, v. 22, no. 4, p. 601-614, https://doi.org/10.1007/s10592-021-01382-x.","productDescription":"14 p.","startPage":"601","endPage":"614","ipdsId":"IP-124404","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":393745,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kaua'i","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -159.80575561523438,\n 21.823257624833815\n ],\n [\n -159.23858642578125,\n 21.823257624833815\n ],\n [\n -159.23858642578125,\n 22.272576585413475\n ],\n [\n -159.80575561523438,\n 22.272576585413475\n ],\n [\n -159.80575561523438,\n 21.823257624833815\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"22","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-06-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Cassin-Sackett, Loren","contributorId":258061,"corporation":false,"usgs":false,"family":"Cassin-Sackett","given":"Loren","email":"","affiliations":[{"id":52221,"text":"Center for Conservation Genomics, Smithsonian Conservation Biology Institute","active":true,"usgs":false}],"preferred":false,"id":829810,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campana, Michael G.","contributorId":258060,"corporation":false,"usgs":false,"family":"Campana","given":"Michael","email":"","middleInitial":"G.","affiliations":[{"id":52221,"text":"Center for Conservation Genomics, Smithsonian Conservation Biology Institute","active":true,"usgs":false}],"preferred":false,"id":829811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McInerney, Nancy","contributorId":270714,"corporation":false,"usgs":false,"family":"McInerney","given":"Nancy","email":"","affiliations":[{"id":12865,"text":"Smithsonian Institute","active":true,"usgs":false}],"preferred":false,"id":829812,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lim, Haw Chuan","contributorId":203368,"corporation":false,"usgs":false,"family":"Lim","given":"Haw","email":"","middleInitial":"Chuan","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":829813,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Przelomska, Natalia","contributorId":270715,"corporation":false,"usgs":false,"family":"Przelomska","given":"Natalia","email":"","affiliations":[{"id":12865,"text":"Smithsonian Institute","active":true,"usgs":false}],"preferred":false,"id":829814,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Masuda, Bryce","contributorId":255354,"corporation":false,"usgs":false,"family":"Masuda","given":"Bryce","affiliations":[{"id":38792,"text":"San Diego Zoo Global","active":true,"usgs":false}],"preferred":false,"id":829815,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chesser, R. Terry 0000-0003-4389-7092","orcid":"https://orcid.org/0000-0003-4389-7092","contributorId":87669,"corporation":false,"usgs":true,"family":"Chesser","given":"R. Terry","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":829816,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Paxton, Eben H. 0000-0001-5578-7689","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":19640,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben","email":"","middleInitial":"H.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":829817,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Foster, Jeffery T","contributorId":184105,"corporation":false,"usgs":false,"family":"Foster","given":"Jeffery","email":"","middleInitial":"T","affiliations":[],"preferred":false,"id":829818,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Crampton, Lisa H.","contributorId":192559,"corporation":false,"usgs":false,"family":"Crampton","given":"Lisa","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":829819,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Fleischer, Robert C.","contributorId":258062,"corporation":false,"usgs":false,"family":"Fleischer","given":"Robert C.","affiliations":[{"id":52221,"text":"Center for Conservation Genomics, Smithsonian Conservation Biology Institute","active":true,"usgs":false}],"preferred":false,"id":829820,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70222071,"text":"70222071 - 2021 - Using systems thinking to inform management of imperiled species: A case study with sea turtles","interactions":[],"lastModifiedDate":"2021-07-19T12:45:58.576944","indexId":"70222071","displayToPublicDate":"2021-06-08T09:42:18","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Using systems thinking to inform management of imperiled species: A case study with sea turtles","docAbstract":"Management of imperiled species facing spatiotemporally dynamic threats is difficult. Systems thinking can inform their management by quantifying the impacts that they face. We apply systems thinking to the Northern Gulf of Mexico (NGM) loggerhead (Caretta caretta) Recovery Unit (RU), one of the smallest subpopulations of loggerheads nesting in the USA. We characterized disturbances to nests, management actions, and hatchling production across 12 nesting beaches used by this RU to explore how hatchling production would increase if disturbances were mitigated. Annual hatchling production at sites ranged from 470 to 18,191 hatchlings/year. Washovers (19.3% nests/year), washouts (17.9% nests/year), and predation (13% nests/year) were the most common annual disturbances across sites. Focusing on the most impactful disturbances at just five sites could increase annual NGM RU hatchling production by 2.2–6.7%. Efforts to mitigate washovers and washouts are ongoing in Alabama, but these may be futile against tropical cyclones, which accounted for >80% of washouts in the present study, and further require careful examination of associated adverse side-effects. Efforts to mitigate predation are common throughout this RU, but require improved knowledge of predator ecology to reach full potential. Systems thinking allowed us to create a simple model for assessing disturbances and management strategies in terms of hatchling sea turtles. This model can be augmented to run dynamic simulations of how disturbances and management actions impact hatchling production, and can be applied to other species with similar reproductive strategies.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2021.109201","usgsCitation":"Silver-Gorges, I., Ceriani, S.A., Ware, M., Lamb, M., Lamont, M., Becker, J., Carthy, R., Matechik, C., Mitchell, J.C., Pruner, R., Reynolds, M., Smith, B., Snyder, C., and Fuentes, M., 2021, Using systems thinking to inform management of imperiled species: A case study with sea turtles: Biological Conservation, v. 260, 109201, 9 p., https://doi.org/10.1016/j.biocon.2021.109201.","productDescription":"109201, 9 p.","ipdsId":"IP-124524","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":387226,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": 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C.","contributorId":205168,"corporation":false,"usgs":false,"family":"Mitchell","given":"Joseph","email":"","middleInitial":"C.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":819431,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pruner, Raya","contributorId":261184,"corporation":false,"usgs":false,"family":"Pruner","given":"Raya","email":"","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":819432,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Reynolds, Mike","contributorId":261185,"corporation":false,"usgs":false,"family":"Reynolds","given":"Mike","email":"","affiliations":[{"id":52767,"text":"Share the Beach","active":true,"usgs":false}],"preferred":false,"id":819433,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Smith, Bradley","contributorId":244348,"corporation":false,"usgs":false,"family":"Smith","given":"Bradley","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":819434,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Snyder, Caitlyn","contributorId":261186,"corporation":false,"usgs":false,"family":"Snyder","given":"Caitlyn","email":"","affiliations":[{"id":52763,"text":"Florida Department of Environmental Protection","active":true,"usgs":false}],"preferred":false,"id":819435,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Fuentes, Mariana M. P. B.","contributorId":261187,"corporation":false,"usgs":false,"family":"Fuentes","given":"Mariana M. P. B.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":819436,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70222512,"text":"70222512 - 2021 - Riparian forest cover modulates phosphorus storage and nitrogen cycling in agricultural stream sediments","interactions":[],"lastModifiedDate":"2021-08-03T12:03:58.961776","indexId":"70222512","displayToPublicDate":"2021-06-08T09:08:18","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Riparian forest cover modulates phosphorus storage and nitrogen cycling in agricultural stream sediments","docAbstract":"Watershed land cover affects in-stream water quality and sediment nutrient dynamics. The presence of natural land cover in the riparian zone can reduce the negative effects of agricultural land use on water quality; however, literature evaluating the effects of natural riparian land cover on stream sediment nutrient dynamics is scarce. The objective of this study was to assess if stream sediment phosphorus retention and nitrogen removal varies with riparian forest cover in agricultural watersheds. Stream sediment nutrient dynamics from 28 sites with mixed land cover were sampled three times during the growing season. Phosphorus dynamics and nitrification rates did not change considerably throughout the study period. Sediment total phosphorus concentrations and nitrification rates decreased as riparian forest cover increased likely due to a decline in fine, organic material. Denitrification rates were strongly correlated to surface water nitrate concentrations. Denitrification rate and denitrification enzyme activity decreased with an increase in forest cover during the first sampling period only. The first sampling period coincided with the greatest connectivity between the watershed and in-stream processing, indicating that riparian forest cover indirectly decreased denitrification rates by reducing the concentrations of dissolved nutrients entering the stream. This reduction in load may allow the sediment to maintain greater nitrogen removal efficiency, because bacteria are not saturated with nitrogen. Riparian forest cover also appeared to lessen the effect of agriculture in the watershed by decreasing the amount of fine material in the stream, resulting in reduced phosphorus storage in the stream sediment.
","language":"English","publisher":"Springer","doi":"10.1007/s00267-021-01484-9","usgsCitation":"Kreiling, R.M., Bartsch, L., Perner, P.M., Hlavacek, E., and Christensen, V., 2021, Riparian forest cover modulates phosphorus storage and nitrogen cycling in agricultural stream sediments: Environmental Management, v. 68, p. 279-293, https://doi.org/10.1007/s00267-021-01484-9.","productDescription":"15 p.","startPage":"279","endPage":"293","ipdsId":"IP-115956","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":436324,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PAS8DP","text":"USGS data release","linkHelpText":"Great Lakes Restoration Initiative Fox River Basin 2018 Data"},{"id":387625,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Fox River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.14306640625,\n 43.43696596521823\n ],\n [\n -87.1875,\n 43.43696596521823\n ],\n [\n -87.1875,\n 45.91294412737392\n ],\n [\n -89.14306640625,\n 45.91294412737392\n ],\n [\n -89.14306640625,\n 43.43696596521823\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"68","noUsgsAuthors":false,"publicationDate":"2021-06-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Kreiling, Rebecca M. 0000-0002-9295-4156","orcid":"https://orcid.org/0000-0002-9295-4156","contributorId":202193,"corporation":false,"usgs":true,"family":"Kreiling","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":820389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartsch, Lynn A. 0000-0002-1483-4845 lbartsch@usgs.gov","orcid":"https://orcid.org/0000-0002-1483-4845","contributorId":149360,"corporation":false,"usgs":true,"family":"Bartsch","given":"Lynn A.","email":"lbartsch@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":820390,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perner, Patrik Mathis 0000-0002-6142-518X","orcid":"https://orcid.org/0000-0002-6142-518X","contributorId":261675,"corporation":false,"usgs":true,"family":"Perner","given":"Patrik","email":"","middleInitial":"Mathis","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":820391,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hlavacek, Enrika 0000-0002-9872-2305 ehlavacek@usgs.gov","orcid":"https://orcid.org/0000-0002-9872-2305","contributorId":149114,"corporation":false,"usgs":true,"family":"Hlavacek","given":"Enrika","email":"ehlavacek@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":820392,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Christensen, Victoria 0000-0003-4166-7461","orcid":"https://orcid.org/0000-0003-4166-7461","contributorId":220548,"corporation":false,"usgs":true,"family":"Christensen","given":"Victoria","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":820393,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70221326,"text":"70221326 - 2021 - Developing a strategy for the national coordinated soil moisture monitoring network","interactions":[],"lastModifiedDate":"2021-08-03T16:23:29.131132","indexId":"70221326","displayToPublicDate":"2021-06-08T07:46:53","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3674,"text":"Vadose Zone Journal","active":true,"publicationSubtype":{"id":10}},"title":"Developing a strategy for the national coordinated soil moisture monitoring network","docAbstract":"Soil moisture is a critical land surface variable, affecting a wide variety of climatological, agricultural, and hydrological processes. Determining the current soil moisture status is possible via a variety of methods, including in situ monitoring, remote sensing, and numerical modeling. Although all of these approaches are rapidly evolving, there is no cohesive strategy or framework to integrate these diverse information sources to develop and disseminate coordinated national soil moisture products that will improve our ability to understand climate variability. The National Coordinated Soil Moisture Monitoring Network initiative has developed a national strategy for network coordination with NOAA's National Integrated Drought Information System. The strategy is currently in review within NOAA, and work is underway to implement the initial milestones of the strategy. This update reviews the goals and steps being taken to establish this national-scale coordination for soil moisture monitoring in the United States.
The Central Valley of California is one of the most important areas for wintering waterfowl in the world and the focus of extensive conservation efforts to mitigate for historical losses and counter continuing stressors to habitats. To guide conservation, we analyzed trends in the abundance and distribution (spatiotemporal abundance patterns) of waterfowl and their habitats in the Central Valley and its major subregions (Sacramento Valley, Suisun Marsh, Delta, San Joaquin Valley), from 1973 through 2000. We used existing databases, satellite imagery, and aerial photography to measure habitat area, and aerial surveys and radio telemetry to track the abundance and distribution of wintering waterfowl. Wetlands increased throughout the Central Valley, but agricultural fields flooded after harvest increased greatly to the north in the Sacramento Valley and decreased to the south in the San Joaquin Valley, resulting in an overall increase in the relative availability of winter habitat in the former region. Reflecting the continental decline of the most abundant wintering species (Northern Pintail, Anas acuta), the overall abundance of wintering waterfowl in the Central Valley declined during our study. By contrast, numbers of the American Wigeon (A. americana), Mallard (A. platyrhynchos), and Northern Shoveler (A. clypeata) were stable, and numbers of the Green-winged Teal (A. crecca), Gadwall (A. strepera), diving ducks, and geese increased from 1973–1982 to 1998–2000. The areas of greatest abundance of wintering waterfowl within the Central Valley shifted northward as many species responded to changes in the distribution of habitats. Wintering waterfowl migrated earlier in fall and winter from the San Joaquin Valley, Suisun Marsh, and Delta to the Sacramento Valley, and fewer waterfowl emigrated from the Sacramento Valley to other parts of the Central Valley. Because changes in waterfowl distribution were primarily a response to the increase of a beneficial agricultural practice (i.e., the flooding of rice after harvest) in the Sacramento Valley, changing agro-economics, reduction of water supplies, or other factors that reduce this practice could change the abundance and distribution of wintering waterfowl in the Central Valley rapidly. Thus to maintain abundant suitable habitat and restore the historical distribution of wintering waterfowl, our results suggest a continuing need for the conservation of wetlands and other waterfowl habitats with secure water supplies throughout the Central Valley. Despite our findings, achieving goals for winter waterfowl populations in the Central Valley likely will depend on a combination of factors including some acting in breeding ranges farther north or elsewhere outside of the valley.
","language":"English","publisher":"Western Field Ornithologists","doi":"10.21199/SWB3.2","usgsCitation":"Fleskes, J.P., Casazza, M.L., Overton, C.T., Matchett, E., and Yee, J.L., 2021, Changes in the abundance and distribution of waterfowl wintering in the Central Valley of California, 1973–2000: Studies of Western Birds, v. 3, p. 50-74, https://doi.org/10.21199/SWB3.2.","productDescription":"25 p.","startPage":"50","endPage":"74","ipdsId":"IP-073693","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":451983,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.21199/swb3.2","text":"Publisher Index Page"},{"id":386342,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Valley of California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.958984375,\n 40.44694705960048\n ],\n [\n -122.51953124999999,\n 38.95940879245423\n ],\n [\n -121.70654296874999,\n 37.54457732085582\n ],\n [\n -120.08056640625,\n 35.92464453144099\n ],\n [\n -119.20166015625,\n 35.15584570226544\n ],\n [\n -118.43261718749999,\n 35.38904996691167\n ],\n [\n -119.0478515625,\n 36.73888412439431\n ],\n [\n -120.89355468749999,\n 38.238180119798635\n ],\n [\n -122.3876953125,\n 40.29628651711716\n ],\n [\n -122.958984375,\n 40.44694705960048\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"3","noUsgsAuthors":false,"publicationDate":"2017-09-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Fleskes, Joseph P. 0000-0001-5388-6675 joe_fleskes@usgs.gov","orcid":"https://orcid.org/0000-0001-5388-6675","contributorId":177154,"corporation":false,"usgs":true,"family":"Fleskes","given":"Joseph","email":"joe_fleskes@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":817257,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":817258,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Overton, Cory T. 0000-0002-5060-7447 coverton@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-7447","contributorId":3262,"corporation":false,"usgs":true,"family":"Overton","given":"Cory","email":"coverton@usgs.gov","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":817259,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Matchett, Elliott 0000-0001-5095-2884 ematchett@usgs.gov","orcid":"https://orcid.org/0000-0001-5095-2884","contributorId":5541,"corporation":false,"usgs":true,"family":"Matchett","given":"Elliott","email":"ematchett@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":817260,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yee, Julie L. 0000-0003-1782-157X julie_yee@usgs.gov","orcid":"https://orcid.org/0000-0003-1782-157X","contributorId":3246,"corporation":false,"usgs":true,"family":"Yee","given":"Julie","email":"julie_yee@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":817261,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70221277,"text":"70221277 - 2021 - Nearshore fish species richness and species–habitat associations in the St. Clair–Detroit River System","interactions":[],"lastModifiedDate":"2021-06-09T12:03:21.083641","indexId":"70221277","displayToPublicDate":"2021-06-08T06:55:13","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Nearshore fish species richness and species–habitat associations in the St. Clair–Detroit River System","docAbstract":"Shallow water riparian zones of large rivers provide important habitat for fishes, but anthropogenic influences have reduced the availability and quality of these habitats. In the St. Clair–Detroit River System, a Laurentian Great Lakes connecting channel, losses of riparian habitat contributed to impairment of fish populations and their habitats. We conducted a seine survey annually from 2013 to 2019 at ten sites in the St. Clair and Detroit rivers to assess riparian fish communities, and to identify habitat attributes associated with fish species richness and catches of common species. We captured a total of 38,451 fish representing 60 species, with emerald shiner Notropis atherinoides composing the largest portion of the catch. We used an information-theoretic approach to assess the associations between species richness and catches of 33 species with habitat variables (substrate, shoreline vegetation types, and aquatic macrophyte richness). Sand, cobble, and algal substrates and shoreline vegetation were important predictors of species richness based on a multimodel inference approach. However, habitat associations of individual species varied. This work identified manageable habitat variables associated with species richness, while identifying potential tradeoffs for individual species. Further, this work provides baselines for development and evaluation of fish community and shoreline habitat restoration goals.
","language":"English","publisher":"MDPI","doi":"10.3390/w13121616","usgsCitation":"Hilling, C.D., Fischer, J., Ross, J., Tucker, T., DeBruyne, R., Mayer, C.M., and Roseman, E., 2021, Nearshore fish species richness and species–habitat associations in the St. Clair–Detroit River System: Water, v. 12, no. 13, 19 p., https://doi.org/10.3390/w13121616.","productDescription":"19 p.","ipdsId":"IP-129920","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":451986,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w13121616","text":"Publisher Index Page"},{"id":386337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"St. Clair–Detroit River System","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.15551757812499,\n 41.75492216766298\n ],\n [\n -82.408447265625,\n 41.75492216766298\n ],\n [\n -82.408447265625,\n 43.24520272203356\n ],\n [\n -83.15551757812499,\n 43.24520272203356\n ],\n [\n -83.15551757812499,\n 41.75492216766298\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"13","noUsgsAuthors":false,"publicationDate":"2021-06-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Hilling, Corbin D. 0000-0003-4040-9516","orcid":"https://orcid.org/0000-0003-4040-9516","contributorId":257754,"corporation":false,"usgs":false,"family":"Hilling","given":"Corbin","email":"","middleInitial":"D.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":817222,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fischer, Jason L.","contributorId":241112,"corporation":false,"usgs":false,"family":"Fischer","given":"Jason L.","affiliations":[],"preferred":false,"id":817223,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ross, Jason E.","contributorId":213881,"corporation":false,"usgs":false,"family":"Ross","given":"Jason E.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":817224,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tucker, Taaja 0000-0003-1534-4677","orcid":"https://orcid.org/0000-0003-1534-4677","contributorId":217908,"corporation":false,"usgs":true,"family":"Tucker","given":"Taaja","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":817225,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeBruyne, Robin L.","contributorId":139752,"corporation":false,"usgs":false,"family":"DeBruyne","given":"Robin L.","affiliations":[{"id":12902,"text":"MI State UNiversity","active":true,"usgs":false}],"preferred":false,"id":817226,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mayer, Christine M.","contributorId":203271,"corporation":false,"usgs":false,"family":"Mayer","given":"Christine","email":"","middleInitial":"M.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":817227,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Roseman, Edward F. 0000-0002-5315-9838","orcid":"https://orcid.org/0000-0002-5315-9838","contributorId":217909,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":817228,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70221342,"text":"70221342 - 2021 - Soil reservoir dynamics of ophidiomyces ophidiicola, the causative agent of snake fungal disease","interactions":[],"lastModifiedDate":"2022-05-12T13:20:41.213374","indexId":"70221342","displayToPublicDate":"2021-06-08T06:52:38","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8930,"text":"Journal of Fungi","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Soil reservoir dynamics of Ophidiomyces ophidiicola, the causative agent of snake fungal disease","title":"Soil reservoir dynamics of ophidiomyces ophidiicola, the causative agent of snake fungal disease","docAbstract":"Wildlife diseases pose an ever-growing threat to global biodiversity. Understanding how wildlife pathogens are distributed in the environment and the ability of pathogens to form environmental reservoirs is critical to understanding and predicting disease dynamics within host populations. Snake fungal disease (SFD) is an emerging conservation threat to North American snake populations. The causative agent, Ophidiomyces ophidiicola (Oo), is detectable in environmentally derived soils. However, little is known about the distribution of Oo in the environment and the persistence and growth of Oo in soils. Here, we use quantitative PCR to detect Oo in soil samples collected from five snake dens. We compare the detection rates between soils collected from within underground snake hibernacula and associated, adjacent topsoil samples. Additionally, we used microcosm growth assays to assess the growth of Oo in soils and investigate whether the detection and growth of Oo are related to abiotic parameters and microbial communities of soil samples. We found that Oo is significantly more likely to be detected in hibernaculum soils compared to topsoils. We also found that Oo was capable of growth in sterile soil, but no growth occurred in soils with an active microbial community. A number of fungal genera were more abundant in soils that did not permit growth of Oo, versus those that did. Our results suggest that soils may display a high degree of both general and specific suppression of Oo in the environment. Harnessing environmental suppression presents opportunities to mitigate the impacts of SFD in wild snake populations.
","language":"English","publisher":"MDPI","doi":"10.3390/jof7060461","usgsCitation":"Campbell, L., Burger, J., Zappalorti, R.T., Bunnell, J.F., Winzeler, M., Taylor, D.R., and Lorch, J., 2021, Soil reservoir dynamics of ophidiomyces ophidiicola, the causative agent of snake fungal disease: Journal of Fungi, v. 7, no. 6, 461, 14 p., https://doi.org/10.3390/jof7060461.","productDescription":"461, 14 p.","ipdsId":"IP-129843","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":451989,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/jof7060461","text":"Publisher Index Page"},{"id":436325,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MMWG10","text":"USGS data release","linkHelpText":"Tracking the growth of Ophidiomyces ophidiicola over time in natural and sterile soils using quantitative PCR"},{"id":386409,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-06-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Campbell, Lewis J. 0000-0002-7852-2250","orcid":"https://orcid.org/0000-0002-7852-2250","contributorId":244773,"corporation":false,"usgs":false,"family":"Campbell","given":"Lewis J.","affiliations":[],"preferred":false,"id":817377,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burger, Joanna 0000-0002-8877-2966","orcid":"https://orcid.org/0000-0002-8877-2966","contributorId":260161,"corporation":false,"usgs":false,"family":"Burger","given":"Joanna","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":817378,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zappalorti, Robert T.","contributorId":169450,"corporation":false,"usgs":false,"family":"Zappalorti","given":"Robert","email":"","middleInitial":"T.","affiliations":[{"id":25511,"text":"Herpetological Associates, Inc., Plant and Wildlife Consultants, 575 Toms River Road, Jackson, NJ 08527 USA. Corresponding author e-mail: RZappalort@aol.com","active":true,"usgs":false}],"preferred":false,"id":817379,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bunnell, John F.","contributorId":204697,"corporation":false,"usgs":false,"family":"Bunnell","given":"John","email":"","middleInitial":"F.","affiliations":[{"id":36975,"text":"NJ Pinelands Commission","active":true,"usgs":false}],"preferred":false,"id":817380,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Winzeler, Megan 0000-0002-0361-1582 mwinzeler@usgs.gov","orcid":"https://orcid.org/0000-0002-0361-1582","contributorId":196714,"corporation":false,"usgs":true,"family":"Winzeler","given":"Megan","email":"mwinzeler@usgs.gov","affiliations":[],"preferred":true,"id":817381,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Taylor, Daniel R. 0000-0001-5391-0321","orcid":"https://orcid.org/0000-0001-5391-0321","contributorId":260163,"corporation":false,"usgs":false,"family":"Taylor","given":"Daniel","email":"","middleInitial":"R.","affiliations":[{"id":52527,"text":"National Wildlife Health Center (previous employee)","active":true,"usgs":false}],"preferred":false,"id":817382,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lorch, Jeffrey M. 0000-0003-2239-1252","orcid":"https://orcid.org/0000-0003-2239-1252","contributorId":260164,"corporation":false,"usgs":true,"family":"Lorch","given":"Jeffrey M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":817383,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70263832,"text":"70263832 - 2021 - Detailed traveltime tomography and seismic catalog around the 2019 Mw7.1 Ridgecrest, California, earthquake using dense rapid-response seismic data","interactions":[],"lastModifiedDate":"2025-02-25T15:45:23.244346","indexId":"70263832","displayToPublicDate":"2021-06-08T00:00:00","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Detailed traveltime tomography and seismic catalog around the 2019 Mw7.1 Ridgecrest, California, earthquake using dense rapid-response seismic data","docAbstract":"We derive a detailed earthquake catalogue and Vp, Vs and Vp/Vs models for the region around the 2019 Mw 6.4 and Mw7.1 Ridgecrest, California, earthquake sequence using data recorded by rapid-response, densely deployed sensors following the Ridgecrest main shock and the regional network. The new catalogue spans a 4-month period, starting on 1 June 2019, and it includes nearly 95 000 events detected and located with iterative updates to our velocity models. The final Vp and Vs models correlate well with surface geology in the top 4 km of the crust and spatial seismicity patterns at depth. Joint interpretation of the derived catalogue, velocity models, and surface geology suggests that (i) a compliant low-velocity zone near the Garlock Fault arrested the Mw 7.1 rupture at the southeast end; (ii) a stiff high-velocity zone beneath the Coso Mountains acted as a strong barrier that arrested the rupture at the northwest end and (iii) isolated seismicity on the Garlock Fault accommodated transtensional-stepover strain triggered by the main events. The derived catalogue and velocity models can be useful for multiple future studies, including further analysis of seismicity patterns, derivations of accurate source properties (e.g. focal mechanisms) and simulations of earthquake processes and radiated seismic wavefields.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/gji/ggab224","usgsCitation":"White, M., Fang, H., Catchings, R.D., Goldman, M., Steidl, J.H., and Ben-Zion, Y., 2021, Detailed traveltime tomography and seismic catalog around the 2019 Mw7.1 Ridgecrest, California, earthquake using dense rapid-response seismic data: Geophysical Journal International, v. 227, no. 1, p. 204-227, https://doi.org/10.1093/gji/ggab224.","productDescription":"24 p.","startPage":"204","endPage":"227","ipdsId":"IP-124945","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":482447,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Ridgecrest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.33486333179661,\n 36.08725945725399\n ],\n [\n -118.33486333179661,\n 35.3380510630776\n ],\n [\n -117.28305638115125,\n 35.3380510630776\n ],\n [\n -117.28305638115125,\n 36.08725945725399\n ],\n [\n -118.33486333179661,\n 36.08725945725399\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"227","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-06-08","publicationStatus":"PW","contributors":{"authors":[{"text":"White, Malcolm 0000-0001-7543-3896","orcid":"https://orcid.org/0000-0001-7543-3896","contributorId":351476,"corporation":false,"usgs":false,"family":"White","given":"Malcolm","affiliations":[{"id":47795,"text":"USC","active":true,"usgs":false}],"preferred":false,"id":928573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fang, Hongjian","contributorId":351481,"corporation":false,"usgs":false,"family":"Fang","given":"Hongjian","affiliations":[{"id":47799,"text":"MIT","active":true,"usgs":false}],"preferred":false,"id":928584,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Catchings, Rufus D. 0000-0002-5191-6102 catching@usgs.gov","orcid":"https://orcid.org/0000-0002-5191-6102","contributorId":1519,"corporation":false,"usgs":true,"family":"Catchings","given":"Rufus","email":"catching@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":928575,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goldman, Mark 0000-0002-0802-829X","orcid":"https://orcid.org/0000-0002-0802-829X","contributorId":205863,"corporation":false,"usgs":true,"family":"Goldman","given":"Mark","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":928576,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Steidl, Jamison Haase 0000-0003-0612-7654","orcid":"https://orcid.org/0000-0003-0612-7654","contributorId":239709,"corporation":false,"usgs":true,"family":"Steidl","given":"Jamison","email":"","middleInitial":"Haase","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":928577,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ben-Zion, Yehuda 0000-0002-9602-2014","orcid":"https://orcid.org/0000-0002-9602-2014","contributorId":350966,"corporation":false,"usgs":false,"family":"Ben-Zion","given":"Yehuda","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":928578,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70263747,"text":"70263747 - 2021 - Migration efficiency sustains connectivity across agroecological networks supporting sandhill crane migration","interactions":[],"lastModifiedDate":"2025-02-21T15:50:46.112638","indexId":"70263747","displayToPublicDate":"2021-06-08T00:00:00","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Migration efficiency sustains connectivity across agroecological networks supporting sandhill crane migration","docAbstract":"Preserving avian flyway connectivity has long been challenged by our capacity to meaningfully quantify continental habitat dynamics and bird movements at temporal and spatial scales underlying long-distance migrations. Waterbirds migrating hundreds or thousands of kilometers depend on networks of wetland stopover sites to rest and refuel. Entire populations may rely on discrete wetland habitats, particularly in arid landscapes where the loss of limited stopover options can have disproportionately high impacts on migratory cost. Here, we examine flyway connectivity in water-limited ecosystems of western North America using 108 GPS tagged greater sandhill cranes. Bird movements were used to reconstruct wetland stopover networks across three geographically unique sub-populations spanning 12 US-Mexican states and Canadian provinces. Networks were monitored with remote sensing to identify long-term (1988-2019) trends in wetland and agricultural resources supporting migration and evaluated using network theory and centrality metrics as a measure of stopover site importance to flyway connectivity. Sandhill crane space-use was analyzed in stopover locations to identify important ownership and landscape factors structuring bird distributions. Migratory efficiency was the primary mechanism underpinning network function. A small number of key stopover sites important to minimizing movement cost between summering and wintering locations were essential to preserving flyway connectivity. Localized efficiencies were apparent in stopover landscapes given prioritization of space-use by birds where the proximity of agricultural food resources and flooded wetlands minimized daily movements. Model depictions showing wetland declines from 16-18% likely reflect a new normal in landscape drying that could decouple agriculture-waterbird relationships as water scarcity intensifies. Sustaining network resilience will require conservation strategies to balance water allocations preserving agricultural and wetlands on private lands that accounted for 67-96% of habitat use. Study outcomes provide new perspectives of agroecological relationships supporting continental waterbird migration needed to prioritize conservation of landscapes vital to maintaining flyway connectivity.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.3543","usgsCitation":"Donnelly, J.P., King, S.L., Knetter, J., Gammonley, J., Dreitz, V., Grisham, B., Nowak, M., and Collins, D., 2021, Migration efficiency sustains connectivity across agroecological networks supporting sandhill crane migration: Ecosphere, v. 12, no. 6, e03543, 22 p., https://doi.org/10.1002/ecs2.3543.","productDescription":"e03543, 22 p.","ipdsId":"IP-122194","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":487664,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3543","text":"Publisher Index Page"},{"id":482335,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","otherGeospatial":"western North America","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.6397170378491,\n 49.746443185590465\n ],\n [\n -123.6397170378491,\n 27.52099622519954\n ],\n [\n -103.13075969268448,\n 27.52099622519954\n ],\n [\n -103.13075969268448,\n 49.746443185590465\n ],\n [\n -123.6397170378491,\n 49.746443185590465\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"12","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-06-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Donnelly, J. Patrick","contributorId":266037,"corporation":false,"usgs":false,"family":"Donnelly","given":"J.","email":"","middleInitial":"Patrick","affiliations":[{"id":54869,"text":"Intermountain West Joint Venture – U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":928103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":928104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knetter, Jeff","contributorId":351173,"corporation":false,"usgs":false,"family":"Knetter","given":"Jeff","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":928105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gammonley, James H.","contributorId":351174,"corporation":false,"usgs":false,"family":"Gammonley","given":"James H.","affiliations":[{"id":39887,"text":"Colorado Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":928106,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dreitz, Victoria J.","contributorId":351175,"corporation":false,"usgs":false,"family":"Dreitz","given":"Victoria J.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":928107,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grisham, Blake A.","contributorId":341793,"corporation":false,"usgs":false,"family":"Grisham","given":"Blake A.","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":928108,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nowak, M. Cathy","contributorId":351176,"corporation":false,"usgs":false,"family":"Nowak","given":"M. Cathy","affiliations":[{"id":36223,"text":"Oregon Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":928109,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Collins, Daniel P.","contributorId":351177,"corporation":false,"usgs":false,"family":"Collins","given":"Daniel P.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":928110,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70221853,"text":"70221853 - 2021 - A decision-analytical framework for developing harvest regulations","interactions":[],"lastModifiedDate":"2021-07-13T00:44:37.862671","indexId":"70221853","displayToPublicDate":"2021-06-07T19:39:38","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"7","title":"A decision-analytical framework for developing harvest regulations","docAbstract":"The development of harvest regulations for fish or wildlife is a complex decision that needs to weigh multiple objectives, consider a set of alternative regulatory options, integrate scientific understanding about the population dynamics of the harvested species as well as the human response to regulations, account for uncertainty, and provide an avenue for feedback from monitoring programs. The author describes how the field of decision analysis provides a framework for structuring such decisions and tools for navigating the components. At the center of any harvest management endeavor is a set of objectives that may include providing harvest opportunity, conserving the harvested population long into the future, and satisfying hunters, anglers, or trappers; tools from multi-criteria decision analysis are useful in finding the right balance among competing objectives. The population dynamics of harvested populations are often stochastic; tools from risk analysis and dynamic optimization can be used to find state-dependent policies that manage variation. Finally, harvest regulations are often set in the face of uncertainty; value-of-information methods can be used to evaluate the importance of that uncertainty, and adaptive management methods can be used to reduce it.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Harvest of fish and wildlife: New paradigms for sustainable management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","doi":"10.1201/9781003009054","usgsCitation":"Runge, M.C., 2021, A decision-analytical framework for developing harvest regulations, chap. 7 of Harvest of fish and wildlife: New paradigms for sustainable management, 15 p., https://doi.org/10.1201/9781003009054.","productDescription":"15 p.","ipdsId":"IP-123515","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":387143,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2021-05-11","publicationStatus":"PW","contributors":{"editors":[{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":819202,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Powell, Larkin A.","contributorId":15100,"corporation":false,"usgs":true,"family":"Powell","given":"Larkin A.","affiliations":[],"preferred":false,"id":819203,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":819006,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70228555,"text":"70228555 - 2021 - Engaging hunters in selecting duck season dates using decision science: Problem framing, objective setting, devising management alternatives","interactions":[],"lastModifiedDate":"2022-02-14T17:11:01.067481","indexId":"70228555","displayToPublicDate":"2021-06-07T11:07:12","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"8","title":"Engaging hunters in selecting duck season dates using decision science: Problem framing, objective setting, devising management alternatives","docAbstract":"Waterfowl hunters have an important economic impact on local, state, and national economies, and are important stakeholders in decisions regarding waterfowl harvest season dates. Individual states are responsible for annually setting duck season dates that conform to the migratory game bird season frameworks as set by the U.S. Fish and Wildlife Service. The federal framework specifies season length and bag limits (i.e., number of birds allowed to be harvested in a day), and states have the authority to select specific season dates within the federal guidelines. The state agency decision is largely centered on social objectives related to hunter satisfaction because the U.S. Fish and Wildlife Service incorporates biological objectives when establishing the federal framework to ensure sustainable waterfowl populations. This chapter describes the problem formulation, objectives, and alternatives steps of a decision analysis process used in New York. The authors demonstrate a process that allows for engagement by waterfowl hunters and incorporation of multiple stakeholder objectives, which can be used to evaluate tradeoffs to help guide decision making regarding selection of duck season dates. Engaging duck hunters through a task force and hunter survey provided opportunity for the regulated community to help shape season dates that quantitatively considered duck hunter satisfaction.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Harvest of fish and wildlife: New paradigms for sustainable management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","collaboration":"New York State Department of Environmental Conservation","usgsCitation":"Fuller, A.K., Stiller, J.C., Siemer, W., and Perkins, K., 2021, Engaging hunters in selecting duck season dates using decision science: Problem framing, objective setting, devising management alternatives, chap. 8 of Harvest of fish and wildlife: New paradigms for sustainable management, 13 p.","productDescription":"13 p.","ipdsId":"IP-117424","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":395895,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":834579,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stiller, Joshua C.","contributorId":276124,"corporation":false,"usgs":false,"family":"Stiller","given":"Joshua","email":"","middleInitial":"C.","affiliations":[{"id":56930,"text":"New York DEC","active":true,"usgs":false}],"preferred":false,"id":834580,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Siemer, William F.","contributorId":276125,"corporation":false,"usgs":false,"family":"Siemer","given":"William F.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":834581,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perkins, Kelly A.","contributorId":276126,"corporation":false,"usgs":false,"family":"Perkins","given":"Kelly A.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":834582,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70228558,"text":"70228558 - 2021 - Using structured decision making to incorporate ecological and social values into harvest decisions: Case studies of white-tailed deer and walleye","interactions":[],"lastModifiedDate":"2022-02-14T16:30:15.25773","indexId":"70228558","displayToPublicDate":"2021-06-07T10:27:48","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"9","title":"Using structured decision making to incorporate ecological and social values into harvest decisions: Case studies of white-tailed deer and walleye","docAbstract":"Harvest decisions for fish and wildlife populations often include conflicting ecological, economic, and social values. Using decision analysis, such as structured decision making and adaptive management, as a framework to aid decision makers in multi-objective decision making for setting harvest regulations can lead to a more transparent and resilient decision. The process includes opportunities for inclusion of stakeholders’ concerns, either through multi-party workshops or the use of social science techniques to elicit objectives (i.e., values) and predict consequences of management actions. The authors present two case studies of using decision analysis to determine stakeholders’ objectives, identify alternative harvest strategies, predict the consequences of these alternatives on all objectives, and analyze tradeoffs among objectives. A case study of white-tailed deer (Odocoileus virginianus) in New York State provides an example of combining predictive population modeling and implementation of survey instruments statewide to determine optimal region-specific harvest regulations. Harvest management of walleye (Sander vitreus) provides an example of the inclusion of commercial and recreational angler groups in a series of workshops to make decisions about harvest quotas for one of the world’s largest freshwater fisheries.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Harvest of fish and wildlife: New paradigms for sustainable management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Taylor & Francis","usgsCitation":"Robinson, K., Fuller, A.K., and Jones, M., 2021, Using structured decision making to incorporate ecological and social values into harvest decisions: Case studies of white-tailed deer and walleye, chap. 9 of Harvest of fish and wildlife: New paradigms for sustainable management, 15 p.","productDescription":"15 p.","ipdsId":"IP-117474","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":395890,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Robinson, Kelly F.","contributorId":276131,"corporation":false,"usgs":false,"family":"Robinson","given":"Kelly F.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":834588,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":834587,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Michael","contributorId":276132,"corporation":false,"usgs":false,"family":"Jones","given":"Michael","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":834589,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}