{"pageNumber":"162","pageRowStart":"4025","pageSize":"25","recordCount":184553,"records":[{"id":70266257,"text":"70266257 - 2024 - Quantifying uncertainty when extrapolating the relationship between snorkel counts and mark-recapture estimates of juvenile salmonids","interactions":[],"lastModifiedDate":"2025-05-02T16:20:57.585438","indexId":"70266257","displayToPublicDate":"2024-06-03T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying uncertainty when extrapolating the relationship between snorkel counts and mark-recapture estimates of juvenile salmonids","docAbstract":"<p><span>Snorkel surveys are frequently used to monitor stream-dwelling fish. Inferring local abundance from snorkel surveys is complicated by two primary factors: variable fish detection probabilities and the relative abundance of fish in habitat types below the recommended minimum depth for snorkeling. We examine these factors across three salmonid species (</span><i>Oncorhynchus</i><span>&nbsp;spp</span><i>.</i><span>), 4 years, and 113 location-years in Oregon coastal streams. We calibrate snorkel counts to mark-recapture estimates and develop mathematically explicit expressions that convert a new snorkel count into a probability density of abundance for streams containing mixed habitat types that were and were not snorkeled. Snorkelers detected 63%, 47%, and 39% of juvenile coho salmon (</span><i>Oncorhynchus kitsutch</i><span>), steelhead trout (</span><i>Oncorhynchus mykiss</i><span>), and cutthroat trout (</span><i>Oncorhynchus clarkii clarkia</i><span>) estimated by mark-recapture, respectively, but uncertainty within and among sampling units was high. Further, analytics developed here can be used to infer abundance and uncertainty for habitat types that were not snorkeled. Our quantification of uncertainty arising from using snorkel counts as a proxy for abundance will help managers balance biological risks with available resources.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1139/cjfas-2023-0085","usgsCitation":"Falcy, M.R., and Constable Jr., R., 2024, Quantifying uncertainty when extrapolating the relationship between snorkel counts and mark-recapture estimates of juvenile salmonids: Canadian Journal of Fisheries and Aquatic Sciences, v. 81, no. 9, p. 1279-1291, https://doi.org/10.1139/cjfas-2023-0085.","productDescription":"13 p.","startPage":"1279","endPage":"1291","ipdsId":"IP-149264","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":487937,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjfas-2023-0085","text":"Publisher Index Page"},{"id":485346,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.99404150525729,\n              46.209245837578464\n            ],\n            [\n              -123.99404150525729,\n              42.009635177621306\n            ],\n            [\n              -120.93485680784511,\n              42.009635177621306\n            ],\n            [\n              -120.93485680784511,\n              46.209245837578464\n            ],\n            [\n              -123.99404150525729,\n              46.209245837578464\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"81","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Falcy, Matthew Richard 0000-0002-3332-2239","orcid":"https://orcid.org/0000-0002-3332-2239","contributorId":288500,"corporation":false,"usgs":true,"family":"Falcy","given":"Matthew","email":"","middleInitial":"Richard","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":935106,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Constable Jr., Ronald J.","contributorId":354106,"corporation":false,"usgs":false,"family":"Constable Jr.","given":"Ronald J.","affiliations":[{"id":36223,"text":"Oregon Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":935107,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70261311,"text":"70261311 - 2024 - Assessing the sustainability of Pacific walrus harvest in a changing environment","interactions":[{"subject":{"id":70261311,"text":"70261311 - 2024 - Assessing the sustainability of Pacific walrus harvest in a changing environment","indexId":"70261311","publicationYear":"2024","noYear":false,"title":"Assessing the sustainability of Pacific walrus harvest in a changing environment"},"predicate":"SUPERSEDED_BY","object":{"id":70261308,"text":"70261308 - 2025 - Assessing the sustainability of Pacific walrus harvest in a changing environment","indexId":"70261308","publicationYear":"2025","noYear":false,"title":"Assessing the sustainability of Pacific walrus harvest in a changing environment"},"id":1}],"supersededBy":{"id":70261308,"text":"70261308 - 2025 - Assessing the sustainability of Pacific walrus harvest in a changing environment","indexId":"70261308","publicationYear":"2025","noYear":false,"title":"Assessing the sustainability of Pacific walrus harvest in a changing environment"},"lastModifiedDate":"2024-12-05T15:34:03.963415","indexId":"70261311","displayToPublicDate":"2024-06-02T08:48:43","publicationYear":"2024","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":19846,"text":"BioRxiv","active":true,"publicationSubtype":{"id":32}},"title":"Assessing the sustainability of Pacific walrus harvest in a changing environment","docAbstract":"<p><span>Harvest sustainability is a primary goal of wildlife management and conservation, and in a changing world it is increasingly important to consider environmental drivers of population dynamics alongside harvest in cohesive management plans. This is particularly pertinent for harvested species that are acutely experiencing effects of climate change. The Pacific walrus (</span><i>Odobenus rosmarus divergens</i><span>), a critical traditional subsistence resource for indigenous communities, is simultaneously subject to rapid habitat loss associated with diminishing sea ice and an increasing anthropogenic footprint in the Arctic. We developed a theta-logistic population modeling-management framework to evaluate various harvest scenarios combined with four potential climate/disturbance scenarios (ranging from optimistic–pessimistic) which simulates Pacific walrus population dynamics to the end of the 21</span><sup>st</sup><span>&nbsp;century. We considered two types of harvest strategies: (1) adaptive harvest scenarios wherein harvest is calculated as a percentage of the population and annual harvests are updated at set intervals as the population is reassessed, and (2) non-adaptive harvest scenarios wherein annual harvest remains constant. All climate/disturbance scenarios indicated declines of varying severity in Pacific walrus abundance to the end of the 21</span><sup>st</sup><span>&nbsp;century, even in the absence of harvest. However, we found that an adaptive annual harvest of 1.23% of the independent-aged female subset of the population (e.g., 1,280 independent-aged females harvested in 2020, representing contemporary harvest levels) met our criterion for sustainability (&gt;70% probability of maintaining population abundance above maximum net productivity level) under all climate/disturbance scenarios, accepting a medium risk tolerance level of 25%. This suggests that the present rate of Pacific walrus harvest is sustainable and will continue to be—provided the harvest adapts to match changes in population dynamics. Our simulations suggest that a sustainable non-adaptive harvest is also possible, but only at low levels if the population declines as expected. Applying a constant annual harvest of 1,280 independent-aged females (equivalent to contemporary harvest levels of 1.23) exceeded our criterion for sustainability and resulted in a &gt;5% chance of quasi-extinction by the end of the 21</span><sup>st</sup><span>&nbsp;century under three of the four climate/disturbance scenarios we evaluated. Our results highlight the importance of adaptive co-management strategies, and we suggest such modeling frameworks are useful for managing for harvest sustainability in a changing climate.</span></p>","language":"English","publisher":"BioRxiv","doi":"10.1101/2024.05.29.596516","usgsCitation":"Johnson, D., Eisaguirre, J.M., Taylor, R.L., Andersen, E., and Garlich-Miller, J., 2024, Assessing the sustainability of Pacific walrus harvest in a changing environment: BioRxiv, https://doi.org/10.1101/2024.05.29.596516.","productDescription":"37 p.","ipdsId":"IP-166369","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":467001,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1101/2024.05.29.596516","text":"External Repository"},{"id":464799,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Devin","contributorId":346945,"corporation":false,"usgs":false,"family":"Johnson","given":"Devin","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":920335,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eisaguirre, Joseph Michael 0000-0002-0450-8472","orcid":"https://orcid.org/0000-0002-0450-8472","contributorId":301980,"corporation":false,"usgs":true,"family":"Eisaguirre","given":"Joseph","email":"","middleInitial":"Michael","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":920336,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, Rebecca L. 0000-0001-8459-7614 rebeccataylor@usgs.gov","orcid":"https://orcid.org/0000-0001-8459-7614","contributorId":5112,"corporation":false,"usgs":true,"family":"Taylor","given":"Rebecca","email":"rebeccataylor@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":920337,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Andersen, Erik","contributorId":346947,"corporation":false,"usgs":false,"family":"Andersen","given":"Erik","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":920338,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garlich-Miller, Joel","contributorId":346948,"corporation":false,"usgs":false,"family":"Garlich-Miller","given":"Joel","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":920339,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70255926,"text":"70255926 - 2024 - Complex hydrology and variability of nitrogen sources in a karst watershed","interactions":[],"lastModifiedDate":"2024-07-10T13:31:41.001253","indexId":"70255926","displayToPublicDate":"2024-06-02T08:14:51","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Complex hydrology and variability of nitrogen sources in a karst watershed","docAbstract":"<p><span>Streams draining karst areas with rapid groundwater transit times may respond relatively quickly to nitrogen reduction strategies, but the complex hydrologic network of interconnected sinkholes and springs is challenging for determining the placement and effectiveness of management practices. This study aims to inform nitrogen reduction strategies in a representative agricultural karst setting of the Chesapeake Bay watershed (Fishing Creek watershed, Pennsylvania) with known elevated nitrate contamination and a previous documented groundwater residence time of less than a decade. During baseflow conditions, streamflow did not increase with drainage area. Headwaters and the main stem lost substantial flow to sinkholes until eventually discharging along large springs downstream. Seasonal hydrologic conditions shift the flow and nitrogen load spatially among losing and gaining stream sections. A compilation of nitrogen source inputs with the geochemistry and the pattern of enrichment of δ</span><sup>15</sup><span>N and δ</span><sup>18</sup><span>O suggest that the nitrogen in streams and springs during baseflow represents a mixture of manure, fertilizer, and wastewater sources with low potential for denitrification. The pH and calcite saturation index increased along generalized flow paths from headwaters to springs and indicate shorter groundwater residence times in baseflow during the spring versus summer. Given the substantial investment in management practices, fixed monitoring sites could incorporate synoptic water sampling to properly monitor long-term progress and help inform management actions in karst watersheds. Although karst watersheds have the potential to respond to nitrogen reduction strategies due to shorter groundwater residence times, high nitrogen inputs, effectiveness of conservation practices, and release of legacy nutrients within the karst cavities could confound progress of water quality goals.</span></p>","language":"English","publisher":"American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America","doi":"10.1002/jeq2.20578","usgsCitation":"Clune, J.W., Cravotta, C., Husic, A., Dozier, H.J., and Schmidt, K.E., 2024, Complex hydrology and variability of nitrogen sources in a karst watershed: Journal of Environmental Quality, v. 53, no. 4, p. 492-507, https://doi.org/10.1002/jeq2.20578.","productDescription":"16 p.","startPage":"492","endPage":"507","ipdsId":"IP-142123","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":439459,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jeq2.20578","text":"Publisher Index Page"},{"id":430890,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Fishing Creek watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.83891540849118,\n              41.44436215062939\n            ],\n            [\n              -76.8086844380523,\n              41.44436215062939\n            ],\n            [\n              -76.8086844380523,\n              40.98993659464011\n            ],\n            [\n              -75.83891540849118,\n              40.98993659464011\n            ],\n            [\n              -75.83891540849118,\n              41.44436215062939\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"53","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-06-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Clune, John W. 0000-0002-3563-1975","orcid":"https://orcid.org/0000-0002-3563-1975","contributorId":209635,"corporation":false,"usgs":true,"family":"Clune","given":"John","middleInitial":"W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":906047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cravotta, Charles A. III 0000-0003-3116-4684","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":258816,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles A.","suffix":"III","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":906048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Husic, Admin 0000-0002-4225-2252","orcid":"https://orcid.org/0000-0002-4225-2252","contributorId":340064,"corporation":false,"usgs":false,"family":"Husic","given":"Admin","email":"","affiliations":[{"id":81445,"text":"Assistant Professor (Kansas University)","active":true,"usgs":false}],"preferred":false,"id":906049,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dozier, Hilary J 0000-0001-6869-8466","orcid":"https://orcid.org/0000-0001-6869-8466","contributorId":335092,"corporation":false,"usgs":true,"family":"Dozier","given":"Hilary","email":"","middleInitial":"J","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":906050,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmidt, Kurt Eric 0009-0002-5173-551X","orcid":"https://orcid.org/0009-0002-5173-551X","contributorId":340065,"corporation":false,"usgs":true,"family":"Schmidt","given":"Kurt","email":"","middleInitial":"Eric","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":906051,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70256580,"text":"70256580 - 2024 - Treed Gaussian processes for animal movement modeling","interactions":[],"lastModifiedDate":"2024-08-08T11:10:37.521981","indexId":"70256580","displayToPublicDate":"2024-06-02T06:08:53","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Treed Gaussian processes for animal movement modeling","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Wildlife telemetry data may be used to answer a diverse range of questions relevant to wildlife ecology and management. One challenge to modeling telemetry data is that animal movement often varies greatly in pattern over time, and current continuous-time modeling approaches to handle such nonstationarity require bespoke and often complex models that may pose barriers to practitioner implementation. We demonstrate a novel application of treed Gaussian process (TGP) modeling, a Bayesian machine learning approach that automatically captures the nonstationarity and abrupt transitions present in animal movement. The machine learning formulation of TGPs enables modeling to be nearly automated, while their Bayesian formulation allows for the derivation of movement descriptors with associated uncertainty measures. We demonstrate the use of an existing R package to implement TGPs using the familiar Markov chain Monte Carlo algorithm. We then use estimated movement trajectories to derive movement descriptors that can be compared across individuals and populations. We applied the TGP model to a case study of lesser prairie-chickens (<i>Tympanuchus pallidicinctus</i>) to demonstrate the benefits of TGP modeling and compared distance traveled and residence times across lesser prairie-chicken individuals and populations. For broad usability, we outline all steps necessary for practitioners to specify relevant movement descriptors (e.g., turn angles, speed, contact points) and apply TGP modeling and trajectory comparison to their own telemetry datasets. Combining the predictive power of machine learning and the statistical inference of Bayesian methods to model movement trajectories allows for the estimation of statistically comparable movement descriptors from telemetry studies. Our use of an accessible R package allows practitioners to model trajectories and estimate movement descriptors, facilitating the use of telemetry data to answer applied management questions.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.11447","usgsCitation":"Rieber, C.J., Hefley, T., and Haukos, D.A., 2024, Treed Gaussian processes for animal movement modeling: Ecology and Evolution, v. 14, no. 6, e11447, 12 p., https://doi.org/10.1002/ece3.11447.","productDescription":"e11447, 12 p.","ipdsId":"IP-155698","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":439461,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ece3.11447","text":"External Repository"},{"id":432387,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-06-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Rieber, Camille J.","contributorId":341230,"corporation":false,"usgs":false,"family":"Rieber","given":"Camille","email":"","middleInitial":"J.","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":908115,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hefley, Trevor J.","contributorId":341231,"corporation":false,"usgs":false,"family":"Hefley","given":"Trevor J.","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":908116,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":908117,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70257092,"text":"70257092 - 2024 - USGS invasive carp database management & integration support","interactions":[],"lastModifiedDate":"2024-08-09T16:49:23.321768","indexId":"70257092","displayToPublicDate":"2024-06-01T11:43:58","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"USGS invasive carp database management & integration support","docAbstract":"<p>Invasive carp tracking, monitoring, and contracted removal will continue throughout the Upper IWW system as part of an adaptive management effort to mitigate, control, and contain invasive carp. To help facilitate these actions, there is a need to compile and analyze data from the multitude of partner agencies that are collecting invasive carp-related data throughout the Illinois River system. These data are often in disparate formats, and integrating these data into a common format allows both researchers and managers to assess invasive carp monitoring, control, and removal efforts at several scales is necessary. Ensuring the interoperability of these data sets allows for their use in various analyses and modeling efforts. Implementing an interoperable data management framework also provides mechanisms for end users to find and use existing data. Integrating data for use in modeling and analysis furthers the MRWG partnership’s collective understanding of invasive carp life history, distribution, and movement and can be used to facilitate adaptive management actions (e.g., directing monitoring, sampling, and removal efforts; assessing invasive carp abundance to support modeling efforts; informing deployment of control actions). An effective data management strategy will streamline the database update process, providing partners with timely, well-organized, uniformly formatted data and analyses in support of informed decision-making processes. </p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2023 Monitoring and response plan","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","publisher":"Invasive Carp Regional Coordinating Committee","usgsCitation":"Brey, M.K., and Fritts, A.K., 2024, USGS invasive carp database management & integration support, 4 p.","productDescription":"4 p.","startPage":"90","endPage":"93","ipdsId":"IP-151293","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":432420,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://invasivecarp.us/PlansReports.html","linkFileType":{"id":5,"text":"html"}},{"id":432447,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","otherGeospatial":"Illinois Waterway","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -87.48380903104598,\n              41.68958409016773\n            ],\n            [\n              -87.64143789713586,\n              41.8332919304695\n            ],\n            [\n              -89.48044133484973,\n              41.38806459671454\n            ],\n            [\n              -90.75022942279477,\n              39.83926695317629\n            ],\n            [\n              -90.66265783052245,\n              39.082040884611246\n            ],\n            [\n              -90.47000032752403,\n              38.809609526616384\n            ],\n            [\n              -90.39118589447908,\n              38.89826454066113\n            ],\n            [\n              -90.39118589447908,\n              39.86615823720618\n            ],\n            [\n              -89.32281246875988,\n              40.847090394251495\n            ],\n            [\n              -89.200212239579,\n              41.184074184856854\n            ],\n            [\n              -88.24568188381326,\n              41.32233092104789\n            ],\n            [\n              -87.80782392245264,\n              41.46029495699605\n            ],\n            [\n              -87.48380903104598,\n              41.68958409016773\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brey, Marybeth K. 0000-0003-4403-9655 mbrey@usgs.gov","orcid":"https://orcid.org/0000-0003-4403-9655","contributorId":187651,"corporation":false,"usgs":true,"family":"Brey","given":"Marybeth","email":"mbrey@usgs.gov","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":909371,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fritts, Andrea K. 0000-0003-2142-3339","orcid":"https://orcid.org/0000-0003-2142-3339","contributorId":204594,"corporation":false,"usgs":true,"family":"Fritts","given":"Andrea","email":"","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":909372,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70257059,"text":"70257059 - 2024 - Floral Composition of Pollen Collected from a Rusty Patched Bumble Bee (Bombus affinis, Cresson) Nest in Southeastern Minnesota","interactions":[],"lastModifiedDate":"2024-08-09T16:27:10.733727","indexId":"70257059","displayToPublicDate":"2024-06-01T11:08:33","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3111,"text":"Prairie Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Floral Composition of Pollen Collected from a Rusty Patched Bumble Bee (Bombus affinis, Cresson) Nest in Southeastern Minnesota","docAbstract":"<p>&nbsp;Understanding the forage diets of imperiled bumble bees can improve conservation planning and habitat restoration efforts. In this study, we describe the taxonomic composition of bee-collected pollen from 2 Rusty Patched Bumble Bee (<i>Bombus affinis</i>, Cresson) nests located in southeastern Minnesota. This is the first published reporting of pollen collected from active <i>B. affinis</i> nests. We also compared pollen identification via traditional palynological light microscopy with genetic identification via ITS metabarcoding. Among the 49 pollen samples analyzed, we detected 41 and 56 distinct taxa via light microscopy and metabarcoding, respectively. Furthermore, 27 of 47 total genera overlapped between the 2 methods. Bittersweet Nightshade (<i>Solanum dulcamara</i>, Linnaeus) was the most detected species for both metabarcoding and microscopy identification for pollen prevalence. Pollen volume from the microscopy data showed that Lesser Burdock (<i>Arctium minus</i>, Bernhardi), Alfalfa (<i>Medicago sativa</i>, Linnaeus), Bittersweet Nightshade (<i>Solanum dulcamara</i>, Linnaeus), Plumeless Thistle (<i>Carduus acanthoides</i>, Linnaeus), and Red Clover (<i>Trifolium pratense</i>, Linnaeus) together comprised more than half of the total volume of pollen. Light microscopy and metabarcoding revealed compositionally distinct plant communities when analyzed at the species level. Methodological concordance improved when analyzing pollen data at genus level, but both methods still reveal marginally distinct groupings. Our study highlights specific plant taxa that are important components of <i>B. affinis</i> pollen diets and provides actionable research for conservation efforts in urban systems. Our study also supports that <i>B. affinis</i> is a generalist forager and will collect pollen from a variety of native and non-native host plants.</p>","language":"English","publisher":"Eagle Hill","usgsCitation":"Simanonok, M., Evans, E., Otto, C., Cornman, R.S., Iwanowicz, D.D., and Smith, T.A., 2024, Floral Composition of Pollen Collected from a Rusty Patched Bumble Bee (Bombus affinis, Cresson) Nest in Southeastern Minnesota: Prairie Naturalist, v. 56, p. 27-41.","productDescription":"15 p.","startPage":"27","endPage":"41","ipdsId":"IP-160196","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":432446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":432394,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.eaglehill.us/prnaonline/access-pages/PRNA-56/033-Otto-accesspage.shtml","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Minnesota","city":"Minneapolis, Red Wing","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -92.61225175828241,\n              44.57881176403146\n            ],\n            [\n              -92.63295399261459,\n              44.564230949940395\n            ],\n            [\n              -92.5422405658127,\n              44.52390239177129\n            ],\n            [\n              -92.48912798473275,\n              44.539871788283364\n            ],\n            [\n              -92.4841897757635,\n              44.56978661728351\n            ],\n            [\n              -92.61225175828241,\n              44.57881176403146\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -93.15991053319894,\n              44.996553932968766\n            ],\n            [\n              -93.33784481548938,\n              44.996553932968766\n            ],\n            [\n              -93.33784481548938,\n              44.89229173980186\n            ],\n            [\n              -93.15991053319894,\n              44.89229173980186\n            ],\n            [\n              -93.15991053319894,\n              44.996553932968766\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"56","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Simanonok, Michael 0000-0002-4710-4515","orcid":"https://orcid.org/0000-0002-4710-4515","contributorId":228829,"corporation":false,"usgs":false,"family":"Simanonok","given":"Michael","email":"","affiliations":[],"preferred":false,"id":909300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, Elaine","contributorId":335437,"corporation":false,"usgs":false,"family":"Evans","given":"Elaine","email":"","affiliations":[{"id":40035,"text":"U Minnesota","active":true,"usgs":false}],"preferred":false,"id":909301,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Otto, Clint 0000-0002-7582-3525 cotto@usgs.gov","orcid":"https://orcid.org/0000-0002-7582-3525","contributorId":5426,"corporation":false,"usgs":true,"family":"Otto","given":"Clint","email":"cotto@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":909302,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cornman, Robert S. 0000-0001-9511-2192 rcornman@usgs.gov","orcid":"https://orcid.org/0000-0001-9511-2192","contributorId":5356,"corporation":false,"usgs":true,"family":"Cornman","given":"Robert","email":"rcornman@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":909303,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Iwanowicz, Deborah D. 0000-0002-9613-8594 diwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-9613-8594","contributorId":2253,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Deborah","email":"diwanowicz@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":909304,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Tamara A.","contributorId":257977,"corporation":false,"usgs":false,"family":"Smith","given":"Tamara","email":"","middleInitial":"A.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":909305,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70258289,"text":"70258289 - 2024 - Divergent trends in distribution and abundance of landbirds in low and high elevation habitats of the Kaʻū Rainforest","interactions":[],"lastModifiedDate":"2024-09-11T15:21:35.426599","indexId":"70258289","displayToPublicDate":"2024-06-01T10:17:57","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":18517,"text":"Science Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/SR—2024/141","title":"Divergent trends in distribution and abundance of landbirds in low and high elevation habitats of the Kaʻū Rainforest","docAbstract":"Federal, state, and non-governmental partners resurveyed landbirds in the Kaʻū Rainforest on the Island of Hawai‘i in 2019. Point-transect distance sampling was conducted in Hawaiʻi Volcanoes National Park, Kaʻū Forest Reserve, Kapāpala Forest Reserve, and Kapāpala Cooperative Game Management Area. This is the first comprehensive survey of the region since 2008. Through a collaborative effort, monitoring transects were consolidated to provide a consistent, repeatable sampling frame for future surveys. We estimated landbird distribution, density, and abundance for eight surveys since 1976. Changes in species-specific densities were assessed using a log-linear regression to determine trends of the six most recent surveys since 2002. Trends were assessed in three strata: low elevation (<1,500 m), high elevation (≥1,500 m), and total survey area.","language":"English","publisher":"National Park Service","doi":"10.36967/2303786","usgsCitation":"Judge, S., Brinck, K., Genz, A., Berry, L., Gaudioso-Levita, J.M., Wang, A., and Camp, R.J., 2024, Divergent trends in distribution and abundance of landbirds in low and high elevation habitats of the Kaʻū Rainforest: Science Report NPS/SR—2024/141, xv, 150 p., https://doi.org/10.36967/2303786.","productDescription":"xv, 150 p.","ipdsId":"IP-159072","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":433698,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kaʻū Rainforest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.6444794653433,\n              19.064295958653375\n            ],\n            [\n              -155.56268757788186,\n              19.11896665946611\n            ],\n            [\n              -155.4290276642252,\n              19.292284893321792\n            ],\n            [\n              -155.45296675323834,\n              19.341232967513434\n            ],\n            [\n              -155.49785254513793,\n              19.36476047437779\n            ],\n            [\n              -155.6953500294963,\n              19.183040318670663\n            ],\n            [\n              -155.67440332660973,\n              19.059582122258277\n            ],\n            [\n              -155.6444794653433,\n              19.064295958653375\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Judge, Seth 0000-0003-3832-3246","orcid":"https://orcid.org/0000-0003-3832-3246","contributorId":189965,"corporation":false,"usgs":false,"family":"Judge","given":"Seth","email":"","affiliations":[],"preferred":false,"id":912827,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brinck, Kevin W. 0000-0001-7581-2482 kbrinck@usgs.gov","orcid":"https://orcid.org/0000-0001-7581-2482","contributorId":3847,"corporation":false,"usgs":true,"family":"Brinck","given":"Kevin W.","email":"kbrinck@usgs.gov","affiliations":[],"preferred":false,"id":912942,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Genz, Ayesha 0000-0002-2916-1436","orcid":"https://orcid.org/0000-0002-2916-1436","contributorId":196671,"corporation":false,"usgs":false,"family":"Genz","given":"Ayesha","email":"","affiliations":[],"preferred":false,"id":912829,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berry, Lainie","contributorId":272646,"corporation":false,"usgs":false,"family":"Berry","given":"Lainie","email":"","affiliations":[{"id":56397,"text":"State of Hawai‘i, Division of Forestry and Wildlife","active":true,"usgs":false}],"preferred":false,"id":912830,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gaudioso-Levita, Jacqueline M.","contributorId":173531,"corporation":false,"usgs":false,"family":"Gaudioso-Levita","given":"Jacqueline","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":912831,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wang, Alexander","contributorId":344103,"corporation":false,"usgs":false,"family":"Wang","given":"Alexander","email":"","affiliations":[{"id":56397,"text":"State of Hawai‘i, Division of Forestry and Wildlife","active":true,"usgs":false}],"preferred":false,"id":912832,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":912833,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70256189,"text":"70256189 - 2024 - Grand Canyon River Alerts: An emergency alert system designed for satellite texting devices","interactions":[],"lastModifiedDate":"2025-03-14T15:03:11.409463","indexId":"70256189","displayToPublicDate":"2024-06-01T10:17:57","publicationYear":"2024","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":8569,"text":"Boatman's Quarterly Review","active":true,"publicationSubtype":{"id":30}},"title":"Grand Canyon River Alerts: An emergency alert system designed for satellite texting devices","docAbstract":"The Grand Canyon River Alert system is now live! \nThe U.S. Geological Survey, Grand Canyon Monitoring and Research Center (GCMRC), in collaboration with Coconino County Emergency Management (CCEM), the National Weather Service (NWS) and the National Park Service (NPS), have developed and implemented a framework for sending emergency alerts to boaters and hikers in Grand Canyon. The system is specifically designed to send alerts to satellite texting devices, such those sold by Garmin and SPOT, and is a first of its kind in the nation. Alert messaging will be provided by NPS, NWS, or the Bureau of Reclamation depending on the nature of the incident. CCEM will disseminate alert messaging to devices subscribed to the Grand Canyon River Alerts list. Boating hazards, missing persons, critical dam related events, and extreme weather and flash flood hazards will be included in alert messaging.","language":"English","publisher":"Grand Canyon River Guides","usgsCitation":"Thomas, J.E., Byerley, E.P., and Gushue, T., 2024, Grand Canyon River Alerts: An emergency alert system designed for satellite texting devices: Boatman's Quarterly Review, v. 37, no. 2 (Summer), p. 4-5.","productDescription":"2 p.","startPage":"4","endPage":"5","ipdsId":"IP-165486","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":483237,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":431435,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.gcrg.org/bqr","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.33074644490493,\n              36.91870475540857\n            ],\n            [\n              -114.08318862547097,\n              36.91870475540857\n            ],\n            [\n              -114.08318862547097,\n              35.65865035177029\n            ],\n            [\n              -111.33074644490493,\n              35.65865035177029\n            ],\n            [\n              -111.33074644490493,\n              36.91870475540857\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"37","issue":"2 (Summer)","noUsgsAuthors":false,"publicationDate":"2024-06-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Thomas, Joseph E 0000-0003-1222-7061","orcid":"https://orcid.org/0000-0003-1222-7061","contributorId":333659,"corporation":false,"usgs":true,"family":"Thomas","given":"Joseph","email":"","middleInitial":"E","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":907048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Byerley, Erica Paige 0009-0003-8483-7528","orcid":"https://orcid.org/0009-0003-8483-7528","contributorId":333657,"corporation":false,"usgs":true,"family":"Byerley","given":"Erica","email":"","middleInitial":"Paige","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":907049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gushue, Thomas M. 0000-0002-7172-2460","orcid":"https://orcid.org/0000-0002-7172-2460","contributorId":213515,"corporation":false,"usgs":true,"family":"Gushue","given":"Thomas M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":907050,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70252620,"text":"70252620 - 2024 - The U.S. Geological Survey earth mapping resources initiative’s efforts to map the Rocky Mountain region","interactions":[],"lastModifiedDate":"2025-03-13T15:14:01.39401","indexId":"70252620","displayToPublicDate":"2024-06-01T10:08:49","publicationYear":"2024","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":20252,"text":"Outcrop","active":true,"publicationSubtype":{"id":30}},"title":"The U.S. Geological Survey earth mapping resources initiative’s efforts to map the Rocky Mountain region","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Rocky Mountain Association of Geologists","usgsCitation":"Day, W.C., and Grauch, V.J., 2024, The U.S. Geological Survey earth mapping resources initiative’s efforts to map the Rocky Mountain region: Outcrop, no. June, p. 16-27.","productDescription":"9 p.","startPage":"16","endPage":"27","ipdsId":"IP-163587","costCenters":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":483258,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.rmag.org/index.php?src=gendocs&ref=Outcrop2024#June","linkFileType":{"id":5,"text":"html"}},{"id":483259,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Rocky Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -106.32896471076425,\n              37.15485212453561\n            ],\n            [\n              -104.29149449405837,\n              37.61083284530115\n            ],\n            [\n              -104.9931761560703,\n              42.99139887452577\n            ],\n            [\n              -108.424926100973,\n              46.302352123907184\n            ],\n            [\n              -113.72562123108771,\n              48.93977235614307\n            ],\n            [\n              -119.15408113821688,\n              49.0348232219437\n            ],\n            [\n              -115.00093917523652,\n              43.97370919498249\n            ],\n            [\n              -110.22327836655903,\n              40.885032013220865\n            ],\n            [\n              -106.32896471076425,\n              37.15485212453561\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","issue":"June","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Day, Warren C. 0000-0002-9278-2120 wday@usgs.gov","orcid":"https://orcid.org/0000-0002-9278-2120","contributorId":1308,"corporation":false,"usgs":true,"family":"Day","given":"Warren","email":"wday@usgs.gov","middleInitial":"C.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":897726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grauch, V. J. S. 0000-0002-0761-3489 tien@usgs.gov","orcid":"https://orcid.org/0000-0002-0761-3489","contributorId":886,"corporation":false,"usgs":true,"family":"Grauch","given":"V.","email":"tien@usgs.gov","middleInitial":"J. S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":897727,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70257695,"text":"70257695 - 2024 - Climate change","interactions":[],"lastModifiedDate":"2024-08-23T14:57:43.631661","indexId":"70257695","displayToPublicDate":"2024-06-01T09:52:42","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"3","title":"Climate change","docAbstract":"Amphibian ecology and distribution are strongly correlated with climate. Regional patterns of amphibian biodiversity are intimately linked to temperature, evapotranspiration rate, and clines in humidity. While amphibians are and will continue to be adversely affected by recent and projected changes in climate, research suggests that adaptation may happen more slowly than the expected rate of environmental shifts. Here, we review conservation-relevant aspects of both realised and potential impacts of climate change, and outline options for amphibian conservation planning and management. Recent advances in our understanding of climate change impacts on amphibians have primarily stemmed from ecological modelling and direct assessment of climatic tolerances and dispersal capacities through physiological assays, landscape genetics, and dispersal tracking. Anthropogenic climate change has already altered amphibian assemblages and their impacts on ecosystem functioning and services. Because of known and hypothesised ecological tolerances, many amphibians might have reached or exceeded most limits in their ability to adapt to or tolerate further climate change, however the uncertainties are substantial. Implementation of conservation planning and action can help to forestall severe impacts of environmental shifts. Scientific research and science-based decision-making and policy development have already lagged; the current pace of conservation planning and action may not allow for effective identification of threats and mitigation. An increased response rate could help to avert further loss of amphibian biodiversity and decay of ecosystem services. The lack of basic field research in natural habitats continues to be an underlying challenge. We suggest priority areas of research to include the development of biologically realistic predictive models of amphibian response to climate change, field verification of model estimates and key parameters, population monitoring across multiple sites and taxa, and a combination of efforts within and across ecosystems to understand how impacts of climate change can be better mitigated.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Amphibian conservation action plan: A status review and roadmap for global amphibian conservation","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"IUCN","doi":"10.2305/QWVH2717","usgsCitation":"Bickford, D., Wogan, G.O., Olson, D., Seshadri, K., Urban, M.C., Carnaval, A., Measey, J., Rowley, J.J., Rovito, S., von May, R., and Walls, S., 2024, Climate change, chap. 3 <i>of</i> Amphibian conservation action plan: A status review and roadmap for global amphibian conservation, p. 52-86, https://doi.org/10.2305/QWVH2717.","productDescription":"35 p.","startPage":"52","endPage":"86","ipdsId":"IP-143427","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":489110,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10261/388430","text":"External Repository"},{"id":433098,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2024-07-08","publicationStatus":"PW","contributors":{"editors":[{"text":"Wren, Sally","contributorId":343610,"corporation":false,"usgs":false,"family":"Wren","given":"Sally","email":"","affiliations":[],"preferred":false,"id":911521,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Borzee, Arnael","contributorId":343611,"corporation":false,"usgs":false,"family":"Borzee","given":"Arnael","email":"","affiliations":[],"preferred":false,"id":911522,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Marcec-Greaves, Ruth","contributorId":343612,"corporation":false,"usgs":false,"family":"Marcec-Greaves","given":"Ruth","email":"","affiliations":[],"preferred":false,"id":911523,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Angulo, Ariadne","contributorId":62528,"corporation":false,"usgs":true,"family":"Angulo","given":"Ariadne","email":"","affiliations":[],"preferred":false,"id":911524,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Bickford, David 0000-0003-1478-3387","orcid":"https://orcid.org/0000-0003-1478-3387","contributorId":329545,"corporation":false,"usgs":false,"family":"Bickford","given":"David","email":"","affiliations":[{"id":78638,"text":"Natural Sciences Division, University of La Verne, California, USA","active":true,"usgs":false}],"preferred":false,"id":911450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wogan, Guinevere O.U.","contributorId":149463,"corporation":false,"usgs":false,"family":"Wogan","given":"Guinevere","email":"","middleInitial":"O.U.","affiliations":[{"id":17743,"text":"Museum of Vertebrate Zoology, UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":911451,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Olson, Deanna H.","contributorId":338541,"corporation":false,"usgs":false,"family":"Olson","given":"Deanna H.","affiliations":[{"id":81141,"text":"US Department of Agriculture, Forest Service, Pacific Northwest Research Station, Corvallis, Oregon, USA","active":true,"usgs":false}],"preferred":false,"id":911452,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seshadri, K.S.","contributorId":343579,"corporation":false,"usgs":false,"family":"Seshadri","given":"K.S.","email":"","affiliations":[{"id":27952,"text":"Indian Institute of Science","active":true,"usgs":false}],"preferred":false,"id":911453,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Urban, Mark C.","contributorId":202396,"corporation":false,"usgs":false,"family":"Urban","given":"Mark","email":"","middleInitial":"C.","affiliations":[{"id":36410,"text":"Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA","active":true,"usgs":false}],"preferred":false,"id":911454,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carnaval, Ana","contributorId":343580,"corporation":false,"usgs":false,"family":"Carnaval","given":"Ana","email":"","affiliations":[{"id":38178,"text":"City College of New York","active":true,"usgs":false}],"preferred":false,"id":911455,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Measey, John","contributorId":303671,"corporation":false,"usgs":false,"family":"Measey","given":"John","affiliations":[{"id":65872,"text":"Stellenbosch University; Stellenbosch, South Africa","active":true,"usgs":false}],"preferred":false,"id":911456,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rowley, Jodi J.L.","contributorId":343583,"corporation":false,"usgs":false,"family":"Rowley","given":"Jodi","email":"","middleInitial":"J.L.","affiliations":[{"id":82114,"text":"Australian Museum Research Institute","active":true,"usgs":false}],"preferred":false,"id":911457,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rovito, Sean","contributorId":343586,"corporation":false,"usgs":false,"family":"Rovito","given":"Sean","email":"","affiliations":[{"id":82115,"text":"Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional","active":true,"usgs":false}],"preferred":false,"id":911458,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"von May, Rudolf","contributorId":343587,"corporation":false,"usgs":false,"family":"von May","given":"Rudolf","email":"","affiliations":[{"id":40193,"text":"California State University Channel Islands","active":true,"usgs":false}],"preferred":false,"id":911459,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Walls, Susan 0000-0001-7391-9155","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":215987,"corporation":false,"usgs":true,"family":"Walls","given":"Susan","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":911460,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70259278,"text":"70259278 - 2024 - Reviews","interactions":[],"lastModifiedDate":"2024-10-03T15:05:25.821448","indexId":"70259278","displayToPublicDate":"2024-06-01T09:50:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3568,"text":"The Leading Edge","active":true,"publicationSubtype":{"id":10}},"title":"Reviews","docAbstract":"<p><strong>World Atlas of Submarine Gas Hydrates in Continental Margins</strong>, edited by Jürgen Mienert et al., ISBN 978-3-030-81185-3, Springer, 2022, 514 p., US$299.99 (print), $299.99 (e-book).</p><p>The recently published<span>&nbsp;</span><i>World Atlas of Submarine Gas Hydrates in Continental Margins</i>, edited by Mienert et al., provides a remarkably comprehensive global look at gas hydrates in continental margins. Given that approximately 99% of global gas hydrates are thought to exist on continental margins (the rest are in permafrost areas), this atlas covers the vast majority of gas hydrates on the earth. In addition to 37 geographically focused chapters covering essentially every continental margin on the planet (plus the Black Sea and Lake Baikal), the first six chapters review the history of gas-hydrate studies and fundamental considerations. The geographically focused chapters generally present a thorough description of geophysical and geologic observations from that area, written by an author or authors representing many years or decades of expertise there.</p>","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/tle43060398.1","usgsCitation":"Haines, S.S., 2024, Reviews: The Leading Edge, v. 43, https://doi.org/10.1190/tle43060398.1.","productDescription":"1 p.","startPage":"398","ipdsId":"IP-158292","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":462541,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Haines, Seth S. 0000-0003-2611-8165 shaines@usgs.gov","orcid":"https://orcid.org/0000-0003-2611-8165","contributorId":1344,"corporation":false,"usgs":true,"family":"Haines","given":"Seth","email":"shaines@usgs.gov","middleInitial":"S.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":914757,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70256149,"text":"70256149 - 2024 - Post-wildfire curve number estimates for the southern Rocky Mountains in Colorado, USA","interactions":[],"lastModifiedDate":"2026-02-03T15:43:38.894615","indexId":"70256149","displayToPublicDate":"2024-06-01T09:32:17","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":91,"text":"Technical Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"ERDC-TR-24-12","title":"Post-wildfire curve number estimates for the southern Rocky Mountains in Colorado, USA","docAbstract":"<p><span>The curve number method first developed by the US Department of Agriculture Soil Conservation Service (now the Natural Resources Conservation Service) is often used for post-wildfire runoff assessments. These assessments are critical for land and emergency managers making decisions on life and property risks following a wildfire event. Three approaches (i.e., historical event observations, linear regression model, and regression tree model) were used to help estimate a post-wildfire curve number from watershed and wildfire parameters. For the first method, we used runoff events from 102 burned watersheds in Colorado, southern Wyoming, northern New Mexico, and eastern Utah to quantify changes in curve number values from pre- to post-wildfire conditions. The curve number changes from the measured runoff events vary substantially between positive and negative values. The measured curve number changes were then associated with watershed characteristics (e.g., slope, elevation, northness, and eastness) and land cover type to develop prediction models that provide estimates of post-wildfire curve number changes. Finally, we used a regression tree method to demonstrate that accurate predications can be developed using the measured curve number changes from our study domain. These models can be used for future post-wildfire assessments within the region.</span></p>","language":"English","publisher":"US Army Engineer Research and Development Center","doi":"10.21079/11681/48652","usgsCitation":"Giovando, J., Reis, W., Shillito, R., Shaloka, E., Chow, C., Kohn, M.S., and Memarsadeghi, N., 2024, Post-wildfire curve number estimates for the southern Rocky Mountains in Colorado, USA: Technical Report ERDC-TR-24-12, ix, 84 p., https://doi.org/10.21079/11681/48652.","productDescription":"ix, 84 p.","ipdsId":"IP-162032","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":499444,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, New Mexico, Utah, Wyoming","otherGeospatial":"southern Rocky Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -108.95412182470984,\n              34.62746181535826\n            ],\n            [\n              -103.83257544602158,\n              34.78603007078627\n            ],\n            [\n              -104.19360390493368,\n              40.626407642715634\n            ],\n            [\n              -104.90056848621875,\n              42.22354390303653\n            ],\n            [\n              -114.15700156995486,\n              41.76504082769486\n            ],\n            [\n              -113.95988170488984,\n              40.27157097499236\n            ],\n            [\n              -109.46888006608783,\n              37.34012253873847\n            ],\n            [\n              -108.99864474095172,\n              37.28173602808141\n            ],\n            [\n              -108.95412182470984,\n              34.62746181535826\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2024-06-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Giovando, Jeremy","contributorId":352388,"corporation":false,"usgs":false,"family":"Giovando","given":"Jeremy","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":906925,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reis, Wyatt","contributorId":340330,"corporation":false,"usgs":false,"family":"Reis","given":"Wyatt","affiliations":[{"id":40033,"text":"US Army Engineer Research and Development Center","active":true,"usgs":false}],"preferred":false,"id":906926,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shillito, Rose","contributorId":340331,"corporation":false,"usgs":false,"family":"Shillito","given":"Rose","affiliations":[{"id":40033,"text":"US Army Engineer Research and Development Center","active":true,"usgs":false}],"preferred":false,"id":906927,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shaloka, Elizabeth","contributorId":340332,"corporation":false,"usgs":false,"family":"Shaloka","given":"Elizabeth","affiliations":[{"id":81580,"text":"US Army Corps of Engineers Philadelphia District","active":true,"usgs":false}],"preferred":false,"id":906928,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chow, Christina","contributorId":340333,"corporation":false,"usgs":false,"family":"Chow","given":"Christina","affiliations":[{"id":40033,"text":"US Army Engineer Research and Development Center","active":true,"usgs":false}],"preferred":false,"id":906929,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kohn, Michael S. 0000-0002-5989-7700 mkohn@usgs.gov","orcid":"https://orcid.org/0000-0002-5989-7700","contributorId":4549,"corporation":false,"usgs":true,"family":"Kohn","given":"Michael","email":"mkohn@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":906930,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Memarsadeghi, Natalie","contributorId":340336,"corporation":false,"usgs":false,"family":"Memarsadeghi","given":"Natalie","affiliations":[{"id":81581,"text":"Coastal and Hydraulics Laboratory  US Army Engineer Research and Development Center","active":true,"usgs":false}],"preferred":false,"id":906931,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70259356,"text":"70259356 - 2024 - North American bird banding program longevity records","interactions":[],"lastModifiedDate":"2024-10-04T14:35:43.621082","indexId":"70259356","displayToPublicDate":"2024-06-01T09:31:19","publicationYear":"2024","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":18732,"text":"North American Bird Bander","active":true,"publicationSubtype":{"id":30}},"title":"North American bird banding program longevity records","docAbstract":"Longevity in wild birds refers to the longest-lived individual of any particular species.  This measure of age can reflect important life history traits and identifying differences in longevity patterns between species can reveal unique threats or conservation needs.  Because it requires the identification of individual birds, longevity can usually only be measured through banding or marking of individuals.  A bird’s age can generally be determined at the time of banding and then recalculated whenever the bird is subsequently recovered, recaptured, or resighted.  The North American Bird Banding Program (NABBP), comprised of the U.S. Geological Survey Eastern Ecological Science Center Bird Banding Laboratory (BBL) and Canada’s Bird Banding Office (BBO), curates a vast dataset of all North American bird banding records, as well as subsequent encounters of banded birds reported by banders and members of the public. Although not all bird populations are banded equally and band encounters are only reported voluntarily, the NABBP is thus uniquely situated to catalogue and report longevity records for bird species under our purview.","language":"English","publisher":"Eastern Bird Banding Association","usgsCitation":"Walker, L.E., Rogosky, M., and Harvey, K., 2024, North American bird banding program longevity records: North American Bird Bander, v. 49, no. 2, p. 58-60.","productDescription":"3 p.","startPage":"58","endPage":"60","ipdsId":"IP-165183","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":462571,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://easternbirdbanding.org/volume-49-number-2-apr-jun-2024/","linkFileType":{"id":5,"text":"html"}},{"id":462599,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Walker, Lauren Emily 0000-0002-4316-3577","orcid":"https://orcid.org/0000-0002-4316-3577","contributorId":344936,"corporation":false,"usgs":true,"family":"Walker","given":"Lauren","email":"","middleInitial":"Emily","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":915025,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogosky, Matthew 0000-0001-6053-5742","orcid":"https://orcid.org/0000-0001-6053-5742","contributorId":344937,"corporation":false,"usgs":true,"family":"Rogosky","given":"Matthew","email":"","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":915026,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harvey, Kyra 0000-0003-4781-1874","orcid":"https://orcid.org/0000-0003-4781-1874","contributorId":296250,"corporation":false,"usgs":true,"family":"Harvey","given":"Kyra","email":"","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":915027,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70262004,"text":"70262004 - 2024 - Great Lakes lake trout (Salvelinus namaycush) thiamine monitoring program annual report","interactions":[],"lastModifiedDate":"2025-01-10T15:15:43.136902","indexId":"70262004","displayToPublicDate":"2024-06-01T09:08:23","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"displayTitle":"Great Lakes lake trout (<i>Salvelinus namaycush</i>) thiamine monitoring program annual report","title":"Great Lakes lake trout (Salvelinus namaycush) thiamine monitoring program annual report","docAbstract":"<p>Thiamine deficiency in lake trout eggs has been identified to induce early life-stage mortality in the Great Lakes in the 1960s through the 1990s and potentially affecting lake trout recruitment. As a results, the U.S. Geological Survey’s Great Lakes Science Center (GLSC), Eastern Ecological Science Center, and Columbia Environmental Research Center (CERC), and the State University of New York (SUNY) Brockport, in collaboration with partner agencies, have conducted a cooperative program to monitor thiamine concentrations in lake trout <i>Salvelinus namaycush</i> eggs since the late 1990s. In 2023, egg thiamine concentrations were highly variable at each sampling site. No egg samples with thiamine concentrations less than the 4 nmol/g threshold recommended for successful lake trout reproduction were collected in Lakes Superior or Huron. In contrast, 3 to 52% of the lake trout collected at sites in Lakes Michigan, Huron, Ontario and Champlain, and Cayuga Lake had eggs below 4 nmol/g. Time series of mean lake trout egg thiamine concentrations showed high temporal and spatial variability within the Great Lakes region. </p>","language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Rinchard, J., Ludwig, J.P., Lantry, B.F., and O’Malley, B., 2024, Great Lakes lake trout (Salvelinus namaycush) thiamine monitoring program annual report, 19 p.","productDescription":"19 p.","ipdsId":"IP-167183","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":465937,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://glfc.org/glfc-publications-reports.php"},{"id":465984,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Cayuga Lake, Lake Champlain, Lake Erie, Lake Huron, Lake Michigan, Lake Ontario, Lake Superior","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      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,{"id":70255713,"text":"70255713 - 2024 - Restoring Pacific Lamprey in the Umpqua River Basin of Oregon: A workshop summary","interactions":[],"lastModifiedDate":"2024-07-02T14:16:10.736439","indexId":"70255713","displayToPublicDate":"2024-06-01T09:07:51","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"Restoring Pacific Lamprey in the Umpqua River Basin of Oregon: A workshop summary","docAbstract":"<p>The Umpqua River Basin in southwestern Oregon (Figure 1) is part of the lands inhabited by the Cow Creek Band of Umpqua Tribe of Indians and an area of active co-management authority. This Basin supports a unique fish fauna, including important populations of Pacific salmon (<i>Oncorhynchus</i> spp.) and steelhead (<i>O. mykiss</i>), and other native fishes that are endemic to the region (Mims et al. 2018). Among these species, the Pacific Lamprey (<i>Entosphenus tridentatus</i>) is one of the most unique, representing an ancient lineage of jawless fishes that long predates the evolution of any other species of fish in the basin (Clemens et al. 2017, 2021a). The Pacific Lamprey also represents an important cultural and food resource that features prominently in the indigenous practices of the Cow Creek Band of Umpqua Tribe of Indians. </p><p>This report provides a select summary of topics related to the conservation of Pacific Lamprey in the Umpqua River Basin. Many of the topics addressed herein were discussed in a workshop co-hosted by the Cow Creek Band of Umpqua Tribe of Indians and the U.S. Geological Survey in April of 2022. This workshop was focused on threats to Pacific Lamprey in fresh waters of the basin. The workshop highlighted science conducted over the past 15 years by local managers and researchers to understand and address these threats and provide new information relevant to the conservation and restoration of Pacific Lamprey. Attendees included staff from the Coquille Indian Tribe, Yakama Nation, Columbia River Inter-Tribal Fish Commission, Partnership for Umpqua Rivers, Rogue River Watershed Council, Curry Watersheds Council, PacifiCorp, Trout Unlimited, Jackson Soil and Water Conservation District, Oregon Department of Fish and Wildlife, Bureau of Land Management, U.S. Fish and Wildlife Service, and U.S. Forest Service. This report provides an overview of this workshop and recent science and provides an overview of potential future efforts that could inform restoration of Pacific Lamprey. </p><p>This summary is organized into four sections that relate to the main topics of the workshop: 1) The physical habitat template (stream flow, instream wood, sediment, and water temperature), 2) movement barriers and reservoirs, 3) biological invasions, and 4) climate adaptation. These do not represent an exhaustive list of topics related to conservation of Pacific Lamprey in the Umpqua Basin.</p>","language":"English","publisher":"Cow Creek Band of Umpqua Tribe of Indians","usgsCitation":"Dunham, J., Jones, K., Coates, K.C., and Mackie, T., 2024, Restoring Pacific Lamprey in the Umpqua River Basin of Oregon: A workshop summary, 25 p.","productDescription":"25 p.","ipdsId":"IP-162027","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":430723,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":430696,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.cowcreek-nsn.gov/cow-creek-umpqua-tribe-partners-with-u-s-geological-survey-on-lamprey-workshop/"}],"country":"United States","state":"Oregon","otherGeospatial":"Umpqua River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122,\n              44\n            ],\n            [\n              -124.2,\n              44\n             ], \n            [\n              -124.2,\n              42.5\n            ],\n            [\n              -122,\n              42.5\n            ],\n            [\n              -122,\n              44\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dunham, Jason 0000-0002-6268-0633","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":220078,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":905387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Krista 0000-0002-0301-4497","orcid":"https://orcid.org/0000-0002-0301-4497","contributorId":205206,"corporation":false,"usgs":true,"family":"Jones","given":"Krista","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":905388,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coates, Kelly C.","contributorId":193504,"corporation":false,"usgs":false,"family":"Coates","given":"Kelly","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":905389,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mackie, Travis","contributorId":244009,"corporation":false,"usgs":false,"family":"Mackie","given":"Travis","email":"","affiliations":[],"preferred":false,"id":905390,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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,{"id":70227470,"text":"70227470 - 2024 - Advancing the understanding of Cyano-HABs in New York State","interactions":[],"lastModifiedDate":"2026-03-18T13:52:43.442664","indexId":"70227470","displayToPublicDate":"2024-06-01T08:48:11","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"Advancing the understanding of Cyano-HABs in New York State","docAbstract":"<p>Most harmful algal blooms (HABs) in freshwater lakes, rivers, and streams are caused by cyanobacteria (Cyano-HABs). Under certain environmental conditions, dense concentrations (blooms) can form, which have the potential to cause aesthetic, ecological, and economic damage to afflicted waterbodies. 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York\",\"nation\":\"USA  \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Prestgiacomo, Tony","contributorId":271171,"corporation":false,"usgs":false,"family":"Prestgiacomo","given":"Tony","affiliations":[{"id":56312,"text":"NYS Dept. of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":831060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":202923,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":831061,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foster, Guy M. 0000-0002-9581-057X gfoster@usgs.gov","orcid":"https://orcid.org/0000-0002-9581-057X","contributorId":221956,"corporation":false,"usgs":true,"family":"Foster","given":"Guy","email":"gfoster@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":831062,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70255902,"text":"70255902 - 2024 - How much trapping effort is needed for early detection of European green crab?","interactions":[],"lastModifiedDate":"2024-07-10T14:05:21.40764","indexId":"70255902","displayToPublicDate":"2024-06-01T08:42:11","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"How much trapping effort is needed for early detection of European green crab?","docAbstract":"<p><span>We present a case study using trapping data and species accumulation theory to assess the sampling effort needed to detect species that are rare in habitats sampled as part of the management of invasive European green crab&nbsp;</span><i>Carcinus maenas</i><span>&nbsp;on the coast of Washington State and Salish Sea shorelines, such as is desired for early detection of invasive species. In response to detections of green crab on the west coast of North America monitoring efforts, including early detection monitoring, have increased. The goal of invasive species early detection monitoring programs is to detect new infestations soon after introduction so that eradication and quarantine measures can be used to control their spread. However, detection of newly introduced invasive species often occurs after populations are large and well established. The ability to detect newly introduced invasive species is affected by sampling procedures, including how much effort is expended. To assess the level of trapping effort needed to detect green crab and other taxa when they are rare, we calculate sample-based rarefaction curves, total species richness, and estimates of sample completeness. We then use these estimates to describe the relationship between sampling effort and detection at two different spatial scales. Our results suggest that high probability early detection of green crabs or other rare taxa in many coastal waterbodies will require significantly more trapping effort than was expended in 2020. Our analyses further suggest that the effort required to provide for early detection was less at the site-specific spatial scale than at the waterbody scale. However, sample completeness at the site-specific spatial scale was negatively correlated with species richness. Current efforts to look for new green crab populations and to manage existing populations provide an opportunity to look for other invasive organisms that may establish in similar habitats.</span></p>","language":"English","publisher":"REABIC","doi":"10.3391/mbi.2024.15.2.02","usgsCitation":"Counihan, T., and Thom, T., 2024, How much trapping effort is needed for early detection of European green crab?: Management of Biological Invasions, v. 15, no. 2, p. 187-200, https://doi.org/10.3391/mbi.2024.15.2.02.","productDescription":"14 p.","startPage":"187","endPage":"200","ipdsId":"IP-157261","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":439465,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2024.15.2.02","text":"Publisher Index Page"},{"id":430891,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124.23804807588527,\n              47.163183758898896\n            ],\n            [\n              -124.23804807588527,\n              46.32149165184737\n            ],\n            [\n              -123.76087422518893,\n              46.32149165184737\n            ],\n            [\n              -123.76087422518893,\n              47.163183758898896\n            ],\n            [\n              -124.23804807588527,\n              47.163183758898896\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.56864290373127,\n              48.64237528593006\n            ],\n            [\n              -122.56864290373127,\n              48.5481969623774\n            ],\n            [\n              -122.40987717111287,\n              48.5481969623774\n            ],\n            [\n              -122.40987717111287,\n              48.64237528593006\n            ],\n            [\n              -122.56864290373127,\n              48.64237528593006\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.69140002305605,\n              48.9958606425881\n            ],\n            [\n              -122.83379815437331,\n              48.9958606425881\n            ],\n            [\n              -122.83379815437331,\n              48.9034195723365\n            ],\n            [\n              -122.69140002305605,\n              48.9034195723365\n            ],\n            [\n              -122.69140002305605,\n              48.9958606425881\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Counihan, Timothy D. 0000-0003-4967-6514","orcid":"https://orcid.org/0000-0003-4967-6514","contributorId":207532,"corporation":false,"usgs":true,"family":"Counihan","given":"Timothy D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":905951,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thom, Theresa","contributorId":224436,"corporation":false,"usgs":false,"family":"Thom","given":"Theresa","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":905952,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70254688,"text":"70254688 - 2024 - Applying local and global sensitivity analysis to inform bigheaded carp management","interactions":[],"lastModifiedDate":"2024-12-09T15:34:40.676932","indexId":"70254688","displayToPublicDate":"2024-06-01T08:40:23","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17797,"text":"Journal of Fish and Wildlife Managment","active":true,"publicationSubtype":{"id":10}},"title":"Applying local and global sensitivity analysis to inform bigheaded carp management","docAbstract":"<p><span>Natural resource managers commonly use population-level models to aid in understanding the status of target populations or the potential implications of management actions. Sensitivity analyses, specifically, local sensitivity analysis (LSA) and global sensitivity analysis (GSA), exist as tools to improve understanding of these models, the importance of specific parameters to model outcomes, and the assumptions inherent to population models. However, applied ecology and closely related fields such as fisheries and wildlife management rarely use LSA or GSA. Here, we apply LSA and GSA to the Spatially Explicit Invasive Carp Population model, a population-level model used to simulate and compare management actions on the invasive silver carp Hypophthalmichthys molitrix population in the Illinois River. The spatial structure within the model arises from the navigation “pools” that exist between navigation lock-and-dam in the river and are also the focus of fisheries management in the river. We completed LSA and GSA for two reasons: (1) to compare the importance of model input parameters on simulated model populations and (2) to demonstrate the use of LSA and GSA for population-level models. In our system, the most important sensitivity values generally were detected in Alton Pool. This pool is the farthest downstream and includes a direct connection with the Mississippi River. These results indicate that the population dynamics in Alton Pool are an important driver of the population dynamics throughout the Illinois River. Management outcomes in this system will, therefore, be strongly dependent on the dynamics of Alton Pool.</span></p>","language":"English","publisher":"Allen Press","doi":"10.3996/JFWM-23-032","usgsCitation":"Erickson, R.A., Marcek, B.J., Thompson, H.M., Schoenung, B., Dettmers, J.M., and Fienen, M., 2024, Applying local and global sensitivity analysis to inform bigheaded carp management: Journal of Fish and Wildlife Managment, v. 15, no. 1, p. 112-126, https://doi.org/10.3996/JFWM-23-032.","productDescription":"15 p.","startPage":"112","endPage":"126","ipdsId":"IP-154554","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":439466,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/jfwm-23-032","text":"Publisher Index Page"},{"id":429634,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","otherGeospatial":"Illinois River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -87.47067866744594,\n              41.63003798665733\n            ],\n            [\n              -87.75301635955124,\n              42.20775931304047\n            ],\n            [\n              -88.30886513743135,\n              41.64322208666994\n            ],\n            [\n              -89.39408212461949,\n              41.46495404872903\n            ],\n            [\n              -89.60582738039393,\n              41.213228798132434\n            ],\n            [\n              -90.21464189799754,\n              40.425353097617545\n            ],\n            [\n              -90.69107472176378,\n              39.906198151706576\n            ],\n            [\n              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A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":902289,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marcek, Benjamin J.","contributorId":337263,"corporation":false,"usgs":false,"family":"Marcek","given":"Benjamin","email":"","middleInitial":"J.","affiliations":[{"id":81001,"text":"U.S. Fish and Wildlife Service, Carterville Fish and Wildlife Conservation Office","active":true,"usgs":false}],"preferred":false,"id":902290,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Hannah Mann 0000-0001-8316-3232","orcid":"https://orcid.org/0000-0001-8316-3232","contributorId":316560,"corporation":false,"usgs":true,"family":"Thompson","given":"Hannah","email":"","middleInitial":"Mann","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":902291,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schoenung, Brian","contributorId":337264,"corporation":false,"usgs":false,"family":"Schoenung","given":"Brian","email":"","affiliations":[{"id":33955,"text":"Illinois Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":902292,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dettmers, John M.","contributorId":191256,"corporation":false,"usgs":false,"family":"Dettmers","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":902293,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fienen, Michael N. 0000-0002-7756-4651","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":245632,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":902294,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70255726,"text":"70255726 - 2024 - Lake Ontario August gillnet survey and Lake Trout assessment, 2023","interactions":[],"lastModifiedDate":"2024-07-02T13:45:17.271046","indexId":"70255726","displayToPublicDate":"2024-06-01T08:40:06","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":156,"text":"Annual Report","active":false,"publicationSubtype":{"id":3}},"title":"Lake Ontario August gillnet survey and Lake Trout assessment, 2023","docAbstract":"<p>Lake Ontario lake trout (<i>Salvelinus namaycush</i>) rehabilitation has been annually assessed with fishery independent surveys since 1983, to evaluate program benchmarks and compare observations with management objectives. These surveys provide information on the abundance, strain composition, and condition of the adult lake trout stock, as well as information on levels of natural recruitment, sea lamprey (<i>Petromyzon marinus</i>) wounding rates, and abundance indices of other coldwater fish species (burbot <i>Lota lota</i>, cisco C<i>oregonus artedi</i>, and lake whitefish <i>C. clupeaformis</i>). In 2023, the catch per unit effort (CPUE) of total lake trout in gillnets was notably lower (12.1 fish/net) compared to recent survey years 2018–2022 (average = 17.3 ± 1.0 SD fish/net). CPUE of mature females fell below target levels. Wildproduced mature lake trout remain rare in the adult population (1.0% of adult catch). Strain composition of stocked fish indicated approximately half (51%) of all coded wire tagged lake trout captured in 2023 were from the Superior Klondike strain. Sea lamprey wounding rates decreased in 2023 and were near the target level (2.09 A1 wounds per 100 lake trout). Lake trout condition (predicted weight at length) remains high. Overall, the 2023 survey results suggest that lake trout indicators continue to meet some of the management objectives, however, recruitment of wild-produced offspring to the adult stock continues to be limited, and abundance of stocked fish may be decreasing relative to recent years in response to reduced stocking levels. </p>","language":"English","publisher":"Great Lakes Fishery Commission","collaboration":"NYSDEC, USFWS","usgsCitation":"O’Malley, B., Minihkeim, S.P., Mitchinson, O.M., Stahl, S.D., Connerton, M., Goretzke, J., Farrell, C., and Gorsky, D., 2024, Lake Ontario August gillnet survey and Lake Trout assessment, 2023: Annual Report, 22 p.","productDescription":"22 p.","ipdsId":"IP-163080","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":430720,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":430719,"rank":1,"type":{"id":15,"text":"Index 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bomalley@usgs.gov","orcid":"https://orcid.org/0000-0001-5035-3080","contributorId":216560,"corporation":false,"usgs":true,"family":"O’Malley","given":"Brian","email":"bomalley@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":905457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Minihkeim, Scott P. 0000-0003-4958-2462","orcid":"https://orcid.org/0000-0003-4958-2462","contributorId":265808,"corporation":false,"usgs":true,"family":"Minihkeim","given":"Scott","email":"","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":905458,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mitchinson, Olivia Margaret 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,{"id":70257852,"text":"70257852 - 2024 - Using surficial geologic maps, vegetation, and monitoring to address erosion impacts from grazing in Channel Islands National Park, California","interactions":[],"lastModifiedDate":"2024-08-29T13:58:27.215819","indexId":"70257852","displayToPublicDate":"2024-06-01T08:38:28","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Using surficial geologic maps, vegetation, and monitoring to address erosion impacts from grazing in Channel Islands National Park, California","docAbstract":"<p>Employing a map-unit classification scheme based on geomorphic process and age, the U.S. Geological Survey (USGS) mapped Quaternary surficial deposits of the five islands comprising Channel Islands National Park (CHIS), California, as no such maps previously existed. Mapping was motivated through an agreement with the National Park Service (NPS) to aid natural resource assessments, including post-grazing disturbance recovery and identification of mass wasting and tectonic hazards. The resulting detailed (1:12,000 scale) maps portray areas of upland erosional transport processes and alluvial, fluvial, eolian, beach, marine terrace, mass wasting, and mixed depositional processes at a scale commensurate with the process signal on the landscape. Detailed, GPS-located observations of sedimentology, pedogenic development, landscape position, and geomorphology constrain map unit identification. In addition, map-unit boundary delineation was determined in a GIS using a variety of high-resolution (sub-meter) aerial imagery and lidar-based DEMs complemented by derivative raster products. The GIS geodatabase schema used is GeMS compliant. Resolvable map-unit widths are as small as 10-15 meter. Locational accuracy of unit boundaries is estimated to be as low as 10 m or better. Detailed mapping is at a scale allowing determination of geomorphic transport processes operating on the landscape and conveys geologic information to land managers at a resolution commensurate with park resources. Map unit ages are constrained by relative soil chronostratigraphy, vertebrate and invertebrate fossils, and materials collected for dating control using radiogenic, luminescence, and cosmogenic radionuclide techniques. Associated topical studies examined connections between geology, surface water, and vegetation distribution and restoration.&nbsp;</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geologic mapping forum 23/24 abstracts;, Minnesota Geological Survey Open File Report OFR-24-2","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Minnesota Geological Survey","usgsCitation":"Schmidt, K., Minor, S.A., and McEachern, K., 2024, Using surficial geologic maps, vegetation, and monitoring to address erosion impacts from grazing in Channel Islands National Park, California, <i>in</i> Geologic mapping forum 23/24 abstracts;, Minnesota Geological Survey Open File Report OFR-24-2, p. 47-49.","productDescription":"3 p.","startPage":"47","endPage":"49","ipdsId":"IP-161165","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":433284,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/11299/263584","linkFileType":{"id":5,"text":"html"}},{"id":433298,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Channel Islands National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -118.96667530938718,\n              33.45538363536106\n            ],\n            [\n              -119.30736396721716,\n              34.12663308256873\n            ],\n            [\n              -120.68925841077544,\n              34.12029527315251\n            ],\n            [\n              -120.56293565000705,\n              33.8123420796459\n            ],\n            [\n              -119.04323455833757,\n              33.423440475929695\n            ],\n            [\n              -118.96667530938718,\n              33.45538363536106\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schmidt, Kevin 0000-0003-2365-8035 kschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-2365-8035","contributorId":200618,"corporation":false,"usgs":true,"family":"Schmidt","given":"Kevin","email":"kschmidt@usgs.gov","affiliations":[],"preferred":true,"id":911825,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Minor, Scott A. 0000-0002-6976-9235 sminor@usgs.gov","orcid":"https://orcid.org/0000-0002-6976-9235","contributorId":765,"corporation":false,"usgs":true,"family":"Minor","given":"Scott","email":"sminor@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":911826,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McEachern, Kathryn 0000-0003-2631-8247 kathryn_mceachern@usgs.gov","orcid":"https://orcid.org/0000-0003-2631-8247","contributorId":146324,"corporation":false,"usgs":true,"family":"McEachern","given":"Kathryn","email":"kathryn_mceachern@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":911827,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70255676,"text":"70255676 - 2024 - Surficial geology and Quaternary fault map of the Las Vegas Valley, Clark County, Nevada","interactions":[],"lastModifiedDate":"2024-06-28T13:28:34.382957","indexId":"70255676","displayToPublicDate":"2024-06-01T08:22:22","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":17988,"text":"Map","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"193","title":"Surficial geology and Quaternary fault map of the Las Vegas Valley, Clark County, Nevada","docAbstract":"<p><span>The&nbsp;</span><i>Surficial Geology and Quaternary Fault Map of the Las Vegas Valley, Clark County, Nevada</i><span>&nbsp;is a 1:50,000-scale compilation of published 1:24,000-scale geologic maps integrated with new field and desktop mapping. This geologic map compilation and GIS database are part of a broader study on the Quaternary faults in the Las Vegas Valley, the results of which are summarized in this report. The map compilation utilized a variety of digital base maps to evaluate the characteristics of surficial deposits and Quaternary fault scarps including lidar data in undeveloped parts of the valley and orthorectified historical aerial photos in the urbanized center of the valley. The map distinguishes twenty surficial map units including alluvial-fan and ephemeral-wash deposits, groundwater discharge deposits of the Las Vegas Formation, and alluvium deposits of Las Vegas Wash. Quaternary faults include the Quaternary Las Vegas Valley fault system in the center of the valley and the Frenchman Mountain fault system along the eastern margin. All Quaternary fault traces in the valley were evaluated, and the previously published fault mapping was modified as needed. The new mapping and uniform correlation of surficial deposits displaced by Quaternary faults yields a consistent valley-wide characterization of the recency of fault activity. The map and GIS database include a Quaternary geochronology compilation of 119 previously published surficial deposit ages of various types, 35 new luminescence ages, and 3 new radiocarbon ages. The new age data further bracket the ages of the Las Vegas basin Quaternary stratigraphy and provide new constraints on the timing of Quaternary fault activity.</span><br></p>","language":"English","publisher":"Nevada Bureau of Mines and Geology","usgsCitation":"Dee, S., Ramelli, A.R., dePolo, C.M., and Mahan, S.A., 2024, Surficial geology and Quaternary fault map of the Las Vegas Valley, Clark County, Nevada: Map 193, Report: 121 p.; 1 Plate: 42.00 x 60.00 inches.","productDescription":"Report: 121 p.; 1 Plate: 42.00 x 60.00 inches","ipdsId":"IP-155477","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":430598,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":430597,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.nbmg.unr.edu/Surf-geol-Quat-fault-Las-Vegas-p/m193.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Nevada","otherGeospatial":"Las Vegas Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -115.45833685799134,\n              36.38352825146113\n            ],\n            [\n              -115.45833685799134,\n              35.849004016348985\n            ],\n            [\n              -114.84416236368796,\n              35.849004016348985\n            ],\n            [\n              -114.84416236368796,\n              36.38352825146113\n            ],\n            [\n              -115.45833685799134,\n              36.38352825146113\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dee, Seth","contributorId":248823,"corporation":false,"usgs":false,"family":"Dee","given":"Seth","email":"","affiliations":[{"id":6689,"text":"Nevada Bureau of Mines and Geology","active":true,"usgs":false}],"preferred":false,"id":905156,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramelli, Alan R.","contributorId":203345,"corporation":false,"usgs":false,"family":"Ramelli","given":"Alan","email":"","middleInitial":"R.","affiliations":[{"id":6689,"text":"Nevada Bureau of Mines and Geology","active":true,"usgs":false}],"preferred":false,"id":905157,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"dePolo, Craig M","contributorId":257821,"corporation":false,"usgs":false,"family":"dePolo","given":"Craig","email":"","middleInitial":"M","affiliations":[{"id":6689,"text":"Nevada Bureau of Mines and Geology","active":true,"usgs":false}],"preferred":false,"id":905158,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":905159,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70254763,"text":"70254763 - 2024 - Identifying the forage base and critical forage taxa for Chesapeake waterbirds","interactions":[],"lastModifiedDate":"2024-12-09T15:33:46.850991","indexId":"70254763","displayToPublicDate":"2024-06-01T08:16:10","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Identifying the forage base and critical forage taxa for Chesapeake waterbirds","docAbstract":"<p><span>To effectively maximize the conservation value of management plans intended to capture ecosystem-wide health, it is essential to obtain an understanding of emergent patterns in dietary dynamics spanning many species. Chesapeake Bay, USA, is a critical ecosystem used annually by a diverse assortment of waterbird species, including several of conservation concern. However, the ecosystem is threatened by many ecological pressures driven largely by the dense human population of the surrounding region. These issues necessitate proactive monitoring and management efforts to track the health of ecosystems like the Chesapeake Bay. Such monitoring efforts of population dynamics require adequate data on the connections between trophic levels to understand how changes to the forage base might influence higher trophic levels, such as these diverse avian predators. However, we have historically lacked standardized quantitative data drawing these connections at the community level, as well as the relative importance of these taxa in the diet of such predators. We collated existing quantitative data on avian dietary composition to construct a database on the diets of 58 waterbird species that make use of the Chesapeake Bay. From this database, we quantified the relative importance of forage taxa to the diet of each waterbird species. Such data can enable managers to develop a comprehensive suite of forage taxa indicators whose abundance and distributions can be monitored as a proxy for ecosystem health. It is our goal that this database be harnessed as a tool to enable conservation practitioners to prioritize indicator taxa for monitoring purposes, contributing towards conservation plans that best address the health of the ecosystem at large.</span></p>","language":"English","publisher":"Allen Press","doi":"10.3996/jfwm-23-017","usgsCitation":"Hack, M., Sullivan, J.D., Kent, C.M., and Prosser, D., 2024, Identifying the forage base and critical forage taxa for Chesapeake waterbirds: Journal of Fish and Wildlife Management, v. 15, no. 1, p. 164-174, https://doi.org/10.3996/jfwm-23-017.","productDescription":"11 p.","startPage":"164","endPage":"174","ipdsId":"IP-151738","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":429631,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":439468,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/jfwm-23-017","text":"Publisher Index Page"}],"country":"United States","state":"Delaware, Maryland, Virginia","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76.96079553182784,\n              39.59556018695497\n            ],\n            [\n              -76.96079553182784,\n              36.77431286315145\n            ],\n            [\n              -75.58436805301858,\n              36.77431286315145\n            ],\n            [\n              -75.58436805301858,\n              39.59556018695497\n            ],\n            [\n              -76.96079553182784,\n              39.59556018695497\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Hack, Matthew","contributorId":304036,"corporation":false,"usgs":false,"family":"Hack","given":"Matthew","email":"","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":902440,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sullivan, Jeffery D. 0000-0002-9242-2432","orcid":"https://orcid.org/0000-0002-9242-2432","contributorId":265822,"corporation":false,"usgs":true,"family":"Sullivan","given":"Jeffery","email":"","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":902441,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kent, Cody M.","contributorId":265823,"corporation":false,"usgs":false,"family":"Kent","given":"Cody","email":"","middleInitial":"M.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":902442,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prosser, Diann 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":217931,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":902443,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70254549,"text":"fs20243020 - 2024 - Preparing for today's and tomorrow's water-resources challenges in eastern Long Island, New York","interactions":[],"lastModifiedDate":"2026-01-27T17:59:21.311785","indexId":"fs20243020","displayToPublicDate":"2024-05-31T14:50:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-3020","displayTitle":"Preparing for Today’s and Tomorrow’s Water-Resources Challenges in Eastern Long Island, New York","title":"Preparing for today's and tomorrow's water-resources challenges in eastern Long Island, New York","docAbstract":"Freshwater is a vital natural resource. 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,{"id":70254510,"text":"fs20243019 - 2024 - Realizing the potential of eDNA biodiversity monitoring tools in the marine environment with application to offshore renewable energy","interactions":[],"lastModifiedDate":"2024-06-12T10:45:40.134005","indexId":"fs20243019","displayToPublicDate":"2024-05-31T12:14:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-3019","displayTitle":"Realizing the Potential of eDNA Biodiversity Monitoring Tools in the Marine Environment with Application to Offshore Renewable Energy","title":"Realizing the potential of eDNA biodiversity monitoring tools in the marine environment with application to offshore renewable energy","docAbstract":"The U.S. Geological Survey (USGS) researches the biological diversity and distribution of species to support management, conservation, and resource use decisions. 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