{"pageNumber":"147","pageRowStart":"3650","pageSize":"25","recordCount":184605,"records":[{"id":70258147,"text":"70258147 - 2024 - A robust quantitative method to distinguish runoff-generated debris flows from floods","interactions":[],"lastModifiedDate":"2024-09-05T14:28:51.565094","indexId":"70258147","displayToPublicDate":"2024-08-04T09:26:54","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"A robust quantitative method to distinguish runoff-generated debris flows from floods","docAbstract":"

Debris flows and floods generated by rainfall runoff occur in rocky mountainous landscapes and burned steeplands. Flow type is commonly identified post-event through interpretation of depositional structures, but these may be poorly preserved or misinterpreted. Prior research indicates that discharge magnitude is commonly amplified in debris flows relative to floods due to volumetric bulking and increased frictional resistance. Here, we use this flow amplification to develop a metric (Q*) to separate debris flows from floods based on the ratio of observed peak discharge to the theoretical maximum water discharge from rainfall runoff. We compile 642 observations of floods and debris flows and demonstrate that Q* distinguishes flow type to ∼92% accuracy. Q* allows for accurate identification of debris flows through simple channel cross-section surveys rather than through qualitative interpretation of deposits, and therefore should increase the performance of models and engineered structures that require accurate flow-type observations.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024GL109768","usgsCitation":"Cavagnaro, D.B., McCoy, S., Kean, J.W., Thomas, M.A., Lindsay, D.N., McArdell, B.W., and Hirschberg, J., 2024, A robust quantitative method to distinguish runoff-generated debris flows from floods: Geophysical Research Letters, v. 51, no. 15, e2024GL109768, 11 p., https://doi.org/10.1029/2024GL109768.","productDescription":"e2024GL109768, 11 p.","ipdsId":"IP-159087","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":439232,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024gl109768","text":"Publisher Index Page"},{"id":433497,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"15","noUsgsAuthors":false,"publicationDate":"2024-08-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Cavagnaro, David B.","contributorId":267181,"corporation":false,"usgs":false,"family":"Cavagnaro","given":"David","email":"","middleInitial":"B.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":912366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCoy, Scott W.","contributorId":267182,"corporation":false,"usgs":false,"family":"McCoy","given":"Scott W.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":912367,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":912368,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thomas, Matthew A. 0000-0002-9828-5539 matthewthomas@usgs.gov","orcid":"https://orcid.org/0000-0002-9828-5539","contributorId":200616,"corporation":false,"usgs":true,"family":"Thomas","given":"Matthew","email":"matthewthomas@usgs.gov","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":912369,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lindsay, Donald N.","contributorId":216337,"corporation":false,"usgs":false,"family":"Lindsay","given":"Donald","email":"","middleInitial":"N.","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":912370,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McArdell, Brian W.","contributorId":269977,"corporation":false,"usgs":false,"family":"McArdell","given":"Brian","email":"","middleInitial":"W.","affiliations":[{"id":40850,"text":"Swiss Federal Institute for Forest, Snow and Landscape Research","active":true,"usgs":false}],"preferred":false,"id":912371,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hirschberg, Jacob","contributorId":301934,"corporation":false,"usgs":false,"family":"Hirschberg","given":"Jacob","affiliations":[{"id":65368,"text":"Swiss Federal Institute for Forest, Snow and Landscape Research, Birmensdorf, Switzerland; Institute of Environmental Engineering, ETH Zurich, Zurich, Switzerland","active":true,"usgs":false}],"preferred":false,"id":912372,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70256997,"text":"70256997 - 2024 - The geochronology of White Sands Locality 2 is resolved","interactions":[],"lastModifiedDate":"2024-09-12T13:17:50.636213","indexId":"70256997","displayToPublicDate":"2024-08-04T08:31:43","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5732,"text":"PaleoAmerica","active":true,"publicationSubtype":{"id":10}},"title":"The geochronology of White Sands Locality 2 is resolved","docAbstract":"Rhode et al. (2024) allege that there are many “unresolved issues” with the geochronology of White Sands National Park (WHSA) Locality 2. They suggest there are substantial age offsets due to hard-water effects in the aquatic plants that were dated and that radiocarbon ages of pollen may be anomalously old due to reworking. In their view, the luminescence ages are likely to be maximum ages because of the probable presence of partially bleached quartz grains, overestimation of water content, and stratigraphic position of the samples. They also assert the ages of the footprint trackways are not as internally consistent as suggested and can be interpreted in various ways. We review each of these issues and show they are without merit, often irrelevant, at odds with first principles, and stem from a lack of firsthand understanding of the studies we conducted at WHSA Locality 2.","language":"English","publisher":"Taylor & Francis","doi":"10.1080/20555563.2024.2376298","usgsCitation":"Pigati, J.S., Springer, K.B., Gray, H., Bennett, M.R., and Bustos, D., 2024, The geochronology of White Sands Locality 2 is resolved: PaleoAmerica, v. 10, no. 1, p. 28-44, https://doi.org/10.1080/20555563.2024.2376298.","productDescription":"17 p.","startPage":"28","endPage":"44","ipdsId":"IP-166672","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":432272,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"White Sands National Park Locality 2","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -106.1550582066009,\n 32.872849990711984\n ],\n [\n -106.48245412248755,\n 32.86930180329608\n ],\n [\n -106.47897029431002,\n 32.69297332923759\n ],\n [\n -106.43042966433936,\n 32.65346535926231\n ],\n [\n -106.37842168773055,\n 32.65559686141792\n ],\n [\n -106.24026970932155,\n 32.68647249739145\n ],\n [\n -106.17377551355794,\n 32.76467012980471\n ],\n [\n -106.13625775965107,\n 32.76682115134125\n ],\n [\n -106.13541548471069,\n 32.789043826774915\n ],\n [\n -106.16611008296357,\n 32.7883270898179\n ],\n [\n -106.16697948523209,\n 32.82630293543325\n ],\n [\n -106.1516350497139,\n 32.829884382487975\n ],\n [\n -106.1550582066009,\n 32.872849990711984\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"10","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-08-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Pigati, Jeffrey S. 0000-0001-5843-6219 jpigati@usgs.gov","orcid":"https://orcid.org/0000-0001-5843-6219","contributorId":201167,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffrey","email":"jpigati@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":909103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Springer, Kathleen B. 0000-0002-2404-0264 kspringer@usgs.gov","orcid":"https://orcid.org/0000-0002-2404-0264","contributorId":149826,"corporation":false,"usgs":true,"family":"Springer","given":"Kathleen","email":"kspringer@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":909104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, Harrison J. 0000-0002-4555-7473","orcid":"https://orcid.org/0000-0002-4555-7473","contributorId":207019,"corporation":false,"usgs":true,"family":"Gray","given":"Harrison J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":909105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bennett, Matthew R.","contributorId":265968,"corporation":false,"usgs":false,"family":"Bennett","given":"Matthew","email":"","middleInitial":"R.","affiliations":[{"id":54847,"text":"Bournemouth University, U.K.","active":true,"usgs":false}],"preferred":false,"id":909106,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bustos, David","contributorId":265969,"corporation":false,"usgs":false,"family":"Bustos","given":"David","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":909107,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70264829,"text":"70264829 - 2024 - Observations of flocs in an estuary and implications for computation of settling velocity","interactions":[],"lastModifiedDate":"2025-03-26T15:29:46.647918","indexId":"70264829","displayToPublicDate":"2024-08-04T08:01:17","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2321,"text":"Journal of Geophysical Research: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Observations of flocs in an estuary and implications for computation of settling velocity","docAbstract":"

The settling velocity (ws) in estuarine environments can impact whether a region is eroding or accreting sediment on the bed, yet determining this rate can be an indirect process requiring a number of assumptions. Accurate determination of ws is especially needed for numerical models to reproduce observed sediment concentrations at the appropriate timescale. We collected information on suspended sediment flocculation at a channel site (13 m deep) and a shallows site (4 m deep) within South San Francisco Estuary, alongside timeseries of flow, wave statistics, turbulent shear, and bottle samples analyzed for both ws and particle size. Using the measurements of floc size and settling velocity, we performed a sensitivity analysis on the unknown parameters in the general explicit formula for settling velocity. The collected particle size distribution data show that multiple classes of flocs are present; these are characterized as flocculi, microflocs, and macroflocs. We show that ws of flocculi is closest to ws for the full distribution. The determined parameter values lead to near-bed mass-weighted settling velocities (standard deviation) of 1.18 (0.55) and 0.22 (0.15) mm/s at the channel and shallows sites, respectively. Modeling efforts can use this work to help select an appropriate sediment model and parameter values.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022JC019402","usgsCitation":"Allen, R., Livsey, D., and McGill, S., 2024, Observations of flocs in an estuary and implications for computation of settling velocity: Journal of Geophysical Research: Oceans, v. 129, no. 8, e2022JC019402, 21 p., https://doi.org/10.1029/2022JC019402.","productDescription":"e2022JC019402, 21 p.","ipdsId":"IP-143577","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488664,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022jc019402","text":"Publisher Index Page"},{"id":483876,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"South San Francisco Estuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.73260724811783,\n 38.375373912625804\n ],\n [\n -123.73260724811783,\n 37.14063832700886\n ],\n [\n -121.47531521074498,\n 37.14063832700886\n ],\n [\n -121.47531521074498,\n 38.375373912625804\n ],\n [\n -123.73260724811783,\n 38.375373912625804\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"129","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-08-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Allen, Rachel 0000-0002-0287-6466","orcid":"https://orcid.org/0000-0002-0287-6466","contributorId":216002,"corporation":false,"usgs":true,"family":"Allen","given":"Rachel","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":932004,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Livsey, Daniel","contributorId":352687,"corporation":false,"usgs":false,"family":"Livsey","given":"Daniel","affiliations":[{"id":37600,"text":"Queensland University of Technology","active":true,"usgs":false}],"preferred":false,"id":932005,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGill, Samantha C. 0000-0001-9320-8764","orcid":"https://orcid.org/0000-0001-9320-8764","contributorId":304095,"corporation":false,"usgs":true,"family":"McGill","given":"Samantha C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":932006,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70257734,"text":"70257734 - 2024 - Toxicity of a management bait for grass carp (Ctenopharyngodon idella) incorporated with Antimycin A","interactions":[],"lastModifiedDate":"2024-10-23T16:05:34.326487","indexId":"70257734","displayToPublicDate":"2024-08-03T06:43:41","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Toxicity of a management bait for grass carp (Ctenopharyngodon idella) incorporated with Antimycin A","docAbstract":"

No current technology can specifically target grass carp (Ctenopharyngodon idella) for control within aquatic ecosystems. Rotenone and Carbon Dioxide-Carp are currently the only available registered pesticides for grass carp; they are nonselective and typically applied throughout the water, equally exposing target and native species. A more selective control tool or pesticide application could be used by resource managers to support mitigation efforts. Development of delivery systems that exploit carp feeding strategies could increase selectivity of pesticides and minimize effects on native fishes. A pesticide with selective delivery could be less labor intensive and used within an integrative pest management strategy. The present study examined Antimycin A toxicity in juvenile and sub-adult grass carp and rainbow trout (Oncorhynchus mykiss) across two routes of exposure. Water-based toxicity studies were used to calculate the concentration to cause lethality in 50% of treated fish (LC50) at 24-h, while oral gavage toxicity studies were used to calculate the dose to cause lethality in 50% of treated grass carp and rainbow trout (LD50) 24- to 96-h. Although rainbow trout were more sensitive than grass carp to Antimycin A through water-based exposure, oral toxicity was similar between species, even with inherent gastrointestinal morphological differences. Successful delivery of a lethal dose of Antimycin A to grass carp was achieved through an oral route of exposure using the rapeseed bait and shows promise for registration as a control tool and eventual use in pest management plans. Although a lethal dose of Antimycin A could be incorporated into a single bait pellet, more bait was required to achieve desired mortality when fed to fish under laboratory conditions.

","language":"English","publisher":"Springer","doi":"10.1007/s10646-024-02771-x","usgsCitation":"Wamboldt, J.J., Steiner, J.N., Sauey, B.W., Lada, B., Putnam, J.G., Korducki, B.M., and Saari, G.N., 2024, Toxicity of a management bait for grass carp (Ctenopharyngodon idella) incorporated with Antimycin A: Ecotoxicology, v. 33, p. 984-995, https://doi.org/10.1007/s10646-024-02771-x.","productDescription":"12 p.","startPage":"984","endPage":"995","ipdsId":"IP-157421","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":433150,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","noUsgsAuthors":false,"publicationDate":"2024-08-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Wamboldt, James J. 0000-0003-3043-5198","orcid":"https://orcid.org/0000-0003-3043-5198","contributorId":219060,"corporation":false,"usgs":true,"family":"Wamboldt","given":"James","email":"","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":911550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steiner, J. Nolan 0000-0003-2809-9009 jsteiner@usgs.gov","orcid":"https://orcid.org/0000-0003-2809-9009","contributorId":220768,"corporation":false,"usgs":true,"family":"Steiner","given":"J.","email":"jsteiner@usgs.gov","middleInitial":"Nolan","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":911551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sauey, Blake W. 0000-0003-2819-0814 bsauey@usgs.gov","orcid":"https://orcid.org/0000-0003-2819-0814","contributorId":202175,"corporation":false,"usgs":true,"family":"Sauey","given":"Blake","email":"bsauey@usgs.gov","middleInitial":"W.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":911552,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lada, Bryan 0009-0000-2657-9127 blada@usgs.gov","orcid":"https://orcid.org/0009-0000-2657-9127","contributorId":343624,"corporation":false,"usgs":true,"family":"Lada","given":"Bryan","email":"blada@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":911553,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Putnam, Joel G. 0000-0002-5464-4587","orcid":"https://orcid.org/0000-0002-5464-4587","contributorId":343625,"corporation":false,"usgs":false,"family":"Putnam","given":"Joel","email":"","middleInitial":"G.","affiliations":[{"id":82134,"text":"Former Upper Midwest Environmental Sciences Center employee; Current location: Conagen, Inc., Bedford, MA","active":true,"usgs":false}],"preferred":false,"id":911554,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Korducki, Brianne Marjorie 0009-0005-9046-2229","orcid":"https://orcid.org/0009-0005-9046-2229","contributorId":343626,"corporation":false,"usgs":true,"family":"Korducki","given":"Brianne","email":"","middleInitial":"Marjorie","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":911555,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Saari, Gavin N. 0000-0002-3593-5127 gsaari@usgs.gov","orcid":"https://orcid.org/0000-0002-3593-5127","contributorId":289203,"corporation":false,"usgs":true,"family":"Saari","given":"Gavin","email":"gsaari@usgs.gov","middleInitial":"N.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":911556,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70256696,"text":"sir20245055 - 2024 - Low-flow statistics for selected streams in New York, excluding Long Island","interactions":[],"lastModifiedDate":"2026-02-03T19:42:11.527606","indexId":"sir20245055","displayToPublicDate":"2024-08-02T15:12:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5055","displayTitle":"Low-Flow Statistics for Selected Streams in New York, Excluding Long Island","title":"Low-flow statistics for selected streams in New York, excluding Long Island","docAbstract":"

The U.S. Geological Survey, in cooperation with the New York State Department of Environmental Conservation, updated low-streamflow statistics for New York, excluding Long Island and including hydrologically connected watersheds in bordering States, for the first time since 1972. Historical daily streamflow data for active and inactive gages were considered for this study with periods of record as recent as March 31, 2022, adding 50 years of data to the last published low-streamflow statistics report for New York and including 119 new gages where low-streamflow statistics are calculated for the first time. Gages were evaluated across several criteria to identify gages that were not suitable for low-streamflow frequency analysis. In addition, gages were evaluated for the presence of alteration within the streamflow period of record based on previous studies and U.S. Geological Survey National Water Information System site metadata including peak flow codes.

A trend analysis was performed using the Wilcoxon rank-sum hypothesis test comparing data from the most recent 30 years of record to data from 30 years and earlier for each long-record gage (30 years or more of available data). Results from the trend analysis indicated that 45 unaltered and 32 altered long-record sites had a statistically significant trend for the annual minimum n-day time series; most gages showed increasing trends in the annual minimum n-day time series. Low-streamflow statistics were calculated using the most recent 30 years of record for gages with a statistically significant trend. Before and after 1972, the lowest annual 7-day and 30-day average streamflow that occurs (on average) once every 10 years (7Q10 and 30Q10 statistics respectively) increased significantly at 41 unaltered gages and decreased significantly at 3 unaltered gages where data were available.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245055","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Stagnitta, T.J., Graziano, A.P., Woda, J.C., Glas, R.L., and Gazoorian, C.L., 2024, Low-flow statistics for selected streams in New York, excluding Long Island: U.S. Geological Survey Scientific Investigations Report 2024–5055, 39 p., https://doi.org/10.3133/sir20245055.","productDescription":"Report: vi, 39 p.; Data Release","numberOfPages":"39","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-157678","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":432052,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5055/images/"},{"id":499477,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117164.htm","linkFileType":{"id":5,"text":"html"}},{"id":432053,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NOM6FR","text":"USGS data release","linkHelpText":"Low-flow statistics for New York State, excluding Long Island, computed through March 2022"},{"id":432048,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5055/coverthb.jpg"},{"id":432049,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5055/sir20245055.pdf","text":"Report","size":"2.39 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5055 PDF"},{"id":432051,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5055/sir20245055.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2024-5055 XML"},{"id":432050,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245055/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5055 HTML"}],"country":"United States","state":"New York","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.91286009788664,\n 41.01178774841347\n ],\n [\n -74.0266841070774,\n 40.720375728237144\n ],\n [\n -73.9615635090029,\n 40.70803672971712\n ],\n [\n -73.67394830242374,\n 40.966707520822155\n ],\n [\n -73.67401345493704,\n 41.01587061494237\n ],\n [\n -73.7610093516628,\n 41.09363100726691\n ],\n [\n -73.47905430116539,\n 41.21618146660194\n ],\n [\n -73.54958995108733,\n 41.28551897494029\n ],\n [\n -73.48572425776553,\n 42.050669593361164\n ],\n [\n -73.52340772727291,\n 42.08675087137979\n ],\n [\n -73.27944022486994,\n 42.71925225128092\n ],\n [\n -73.2459886442373,\n 43.56229834373957\n ],\n [\n -73.31078219020274,\n 43.62532933066436\n ],\n [\n -73.37060286487959,\n 43.61346437461091\n ],\n [\n -73.43066543683648,\n 43.58573443689042\n ],\n [\n -73.35806708414735,\n 43.79014308086275\n ],\n [\n -73.40009937812863,\n 44.00975633545363\n ],\n [\n -73.41060974678811,\n 44.08529772972881\n ],\n [\n -73.35805219069586,\n 44.318863718851276\n ],\n [\n -73.33701549362132,\n 44.52903276098101\n ],\n [\n -73.36854225932441,\n 44.626354722690195\n ],\n [\n -73.3054828249653,\n 44.73844638732069\n ],\n [\n -73.37904970354246,\n 44.83541786386914\n ],\n [\n -73.34751720937287,\n 45.0140137308498\n ],\n [\n -74.34598531174339,\n 44.99914556300604\n ],\n [\n -74.8399460822856,\n 45.02144131236122\n ],\n [\n -75.34442725785361,\n 44.80559688881786\n ],\n [\n -75.71227781323351,\n 44.58894197821161\n ],\n [\n -75.93298792150392,\n 44.363963821867316\n ],\n [\n -76.22726798212784,\n 44.23609096764133\n ],\n [\n -76.4374686507537,\n 44.085295715094446\n ],\n [\n -76.80532026610759,\n 43.62298965505482\n ],\n [\n -78.73916539102125,\n 43.63059733126207\n ],\n [\n -79.1910965886907,\n 43.44011660394341\n ],\n [\n -79.02292338480896,\n 43.20308949268261\n ],\n [\n -79.06495062651008,\n 43.0880701724453\n ],\n [\n -78.88515521912908,\n 42.85650132783874\n ],\n [\n -79.77268100220316,\n 42.50253000668161\n ],\n [\n -79.7434614428243,\n 42.00043762996769\n ],\n [\n -75.398839703039,\n 41.97678364767139\n ],\n [\n -75.09566664827426,\n 41.829506046160375\n ],\n [\n -74.91860171317268,\n 41.43129306375607\n ],\n [\n -73.91286009788664,\n 41.01178774841347\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2024-08-02","noUsgsAuthors":false,"publicationDate":"2024-08-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Stagnitta, Timothy J. 0000-0001-8903-428X","orcid":"https://orcid.org/0000-0001-8903-428X","contributorId":304230,"corporation":false,"usgs":true,"family":"Stagnitta","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":true,"id":908680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graziano, Alexander P. 0000-0003-1978-0986","orcid":"https://orcid.org/0000-0003-1978-0986","contributorId":211607,"corporation":false,"usgs":true,"family":"Graziano","given":"Alexander","email":"","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":908681,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woda, Joshua 0000-0002-2932-8013","orcid":"https://orcid.org/0000-0002-2932-8013","contributorId":290172,"corporation":false,"usgs":true,"family":"Woda","given":"Joshua","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":908682,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glas, Robin L. 0000-0002-7394-1667","orcid":"https://orcid.org/0000-0002-7394-1667","contributorId":300625,"corporation":false,"usgs":true,"family":"Glas","given":"Robin","email":"","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":908683,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gazoorian, Christopher L. 0000-0002-5408-6212 cgazoori@usgs.gov","orcid":"https://orcid.org/0000-0002-5408-6212","contributorId":2929,"corporation":false,"usgs":true,"family":"Gazoorian","given":"Christopher","email":"cgazoori@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":908684,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70262363,"text":"70262363 - 2024 - Clustering and unconstrained ordination with Dirichlet process mixture models","interactions":[],"lastModifiedDate":"2025-01-16T17:42:37.701078","indexId":"70262363","displayToPublicDate":"2024-08-02T11:33:50","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Clustering and unconstrained ordination with Dirichlet process mixture models","docAbstract":"
  1. Assessment of similarity in species composition or abundance across sampled locations is a common goal in multi-species monitoring programs. Existing ordination techniques provide a framework for clustering sample locations based on species composition by projecting high-dimensional community data into a low-dimensional, latent ecological gradient representing species composition. However, these techniques require specification of the number of distinct ecological communities present in the latent space, which can be difficult to determine in advance.
  2. We develop an ordination model capable of simultaneous clustering and ordination that allows for estimation of the number of clusters present in the latent ecological gradient. This model draws latent coordinates for each sample location from a Dirichlet process mixture model, affording researchers with probabilistic statements about the number of clusters present in the latent ecological gradient.
  3. The model is compared to existing methods for simultaneous clustering and ordination via simulation and applied to two empirical datasets; JAGS code to fit the proposed model is provided in an appendix. The first dataset concerns presence-absence records of fish in the Doubs river in eastern France and the second dataset describes presence-absence records of plant species in Craters of the Moon National Monument and Preserve (CRMO) in Idaho, USA. Results from both analyses align with existing ecological gradients at each location.
  4. Development of the Dirichlet process ordination model provides wildlife managers with data-driven inferences about the number of distinct communities present across monitored locations, allowing for more cost-effective monitoring and reliable decision-making for conservation management.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.14389","usgsCitation":"Stratton, C., Hoegh, A., Rodhouse, T., Green, J., Banner, K., and Irvine, K., 2024, Clustering and unconstrained ordination with Dirichlet process mixture models: Methods in Ecology and Evolution, v. 15, no. 9, p. 1720-1732, https://doi.org/10.1111/2041-210X.14389.","productDescription":"13 p.","startPage":"1720","endPage":"1732","ipdsId":"IP-149492","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":466971,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.14389","text":"Publisher Index Page"},{"id":466648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"9","noUsgsAuthors":false,"publicationDate":"2024-08-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Stratton, Christian","contributorId":265905,"corporation":false,"usgs":false,"family":"Stratton","given":"Christian","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":923932,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoegh, Andrew","contributorId":265906,"corporation":false,"usgs":false,"family":"Hoegh","given":"Andrew","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":923933,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodhouse, Thomas","contributorId":244880,"corporation":false,"usgs":false,"family":"Rodhouse","given":"Thomas","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":923934,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Green, Jennifer L.","contributorId":349024,"corporation":false,"usgs":false,"family":"Green","given":"Jennifer L.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":923935,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Banner, Katharine M.","contributorId":244876,"corporation":false,"usgs":false,"family":"Banner","given":"Katharine M.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":923936,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Irvine, Kathryn 0000-0002-6426-940X","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":221555,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":923937,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70264593,"text":"70264593 - 2024 - Current advances in coastal wetland elevation dynamics: Introduction to the special issue","interactions":[],"lastModifiedDate":"2025-03-17T14:59:47.80802","indexId":"70264593","displayToPublicDate":"2024-08-02T09:55:48","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Current advances in coastal wetland elevation dynamics: Introduction to the special issue","docAbstract":"

The thematic issue entitled, “Current Advances in Coastal Wetland Elevation Dynamics,” draws on topics from two special sessions at the CERF 2021 conference plus additional recent research describing scientific insights gained from the Surface Elevation Table–Marker Horizon (SET–MH) method and its application across the globe to quantify and understand subsurface process influences on wetland elevation change and wetland responses to sea-level rise. The findings group articles within each of five thematic topics. (1) A 30-year retrospective on the scientific insights gained on surface and shallow subsurface process dynamics. (2) Investigations of the subsurface soil process influences on wetland elevation. (3) How the scientific community applies the SET–MH method to quantify and understand wetland responses to RSLR and other environmental drivers such as altered hydrology and sediment supply. (4) How SET–MH data are used in long-term monitoring networks at different geographic scales. (5) Pairing the SET-MH method with (a) survey techniques to increase lateral coverage of wetland elevation trends and (b) geodetic measurements to increase vertical coverage of vertical land motion.

","language":"English","publisher":"Springer","doi":"10.1007/s12237-024-01411-1","usgsCitation":"Cahoon, D., and Guntenspergen, G.R., 2024, Current advances in coastal wetland elevation dynamics: Introduction to the special issue: Estuaries and Coasts, v. 47, p. 1703-1707, https://doi.org/10.1007/s12237-024-01411-1.","productDescription":"5 p.","startPage":"1703","endPage":"1707","ipdsId":"IP-167659","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":496383,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-024-01411-1","text":"Publisher Index Page"},{"id":483451,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","noUsgsAuthors":false,"publicationDate":"2024-08-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Cahoon, Donald R. 0000-0002-2591-5667","orcid":"https://orcid.org/0000-0002-2591-5667","contributorId":219657,"corporation":false,"usgs":true,"family":"Cahoon","given":"Donald","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":930909,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":930910,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70262796,"text":"70262796 - 2024 - Wide-ranging migration of post-nesting hawksbill sea turtles (Eretmochelys imbricata) from the Caribbean island of Nevis","interactions":[],"lastModifiedDate":"2025-01-23T15:23:20.197825","indexId":"70262796","displayToPublicDate":"2024-08-02T09:18:13","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2660,"text":"Marine Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Wide-ranging migration of post-nesting hawksbill sea turtles (Eretmochelys imbricata) from the Caribbean island of Nevis","title":"Wide-ranging migration of post-nesting hawksbill sea turtles (Eretmochelys imbricata) from the Caribbean island of Nevis","docAbstract":"

Little is known about the post-nesting migration and foraging areas of hawksbill turtles (Eretmochelys imbricata) nesting on St. Kitts and Nevis, an important nesting site for hawksbills in the eastern Caribbean. To elucidate internesting, migration and foraging patterns of hawksbills from Nevis, we satellite tagged 28 post-nesting turtles between 2006 and 2022. Internesting, migrating and foraging activity periods were determined using a switching state–space model to estimate the behavioral state of the turtle’s locations. Twenty-five turtles (83–2,171 tracking days) established a foraging area, migrating between 5.3 and 2,799.5 km from the nesting beach. Twenty-one turtles were tracked during internesting movements with internesting areas ranging between 1.9 and 28.2 km2. Nearly half of the internesting centroids were located closer to a different beach than the beach where the turtle was originally encountered nesting. Hawksbills crossed through 29 different Exclusive Economic Zones (EEZs), including zones with legal sea turtle fisheries or traditional subsistence use. Core foraging areas (KDE 50%) ranged between 3.8 and 69.0 km2. Nearly a third of foraging centroids were within a Marine Protected Area (MPA), while nearly a quarter were within a legal sea turtle fishery EEZ. Hawksbills nesting on Nevis disperse to local, regional, and Caribbean wide foraging grounds, emphasizing the necessity of cooperative efforts to protect turtles and their habitats to ensure support of the recovery of hawksbill turtles throughout the wider Caribbean.

","language":"English","publisher":"Springer","doi":"10.1007/s00227-024-04491-6","usgsCitation":"Evans, D.R., Pemberton, L., and Carthy, R., 2024, Wide-ranging migration of post-nesting hawksbill sea turtles (Eretmochelys imbricata) from the Caribbean island of Nevis: Marine Biology, v. 171, 171, 16 p., https://doi.org/10.1007/s00227-024-04491-6.","productDescription":"171, 16 p.","ipdsId":"IP-161346","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":489134,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00227-024-04491-6","text":"Publisher Index Page"},{"id":480988,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Saint Kitts and Nevis","otherGeospatial":"Caribbean, Nevis","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -89.72100737406826,\n 25.303247272191882\n ],\n [\n -89.72100737406826,\n 10.779361764328613\n ],\n [\n -57.461761139581384,\n 10.779361764328613\n ],\n [\n -57.461761139581384,\n 25.303247272191882\n ],\n [\n -89.72100737406826,\n 25.303247272191882\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"171","noUsgsAuthors":false,"publicationDate":"2024-08-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Evans, Daniel R.","contributorId":331390,"corporation":false,"usgs":false,"family":"Evans","given":"Daniel","email":"","middleInitial":"R.","affiliations":[{"id":79193,"text":"Sea Turtle Conservancy, Gainesville, FL","active":true,"usgs":false}],"preferred":false,"id":924801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pemberton, Lemuel","contributorId":349785,"corporation":false,"usgs":false,"family":"Pemberton","given":"Lemuel","affiliations":[{"id":83514,"text":"Nevis Turtle Group","active":true,"usgs":false}],"preferred":false,"id":924802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carthy, Raymond 0000-0001-8978-5083","orcid":"https://orcid.org/0000-0001-8978-5083","contributorId":219303,"corporation":false,"usgs":true,"family":"Carthy","given":"Raymond","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":924803,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70264138,"text":"70264138 - 2024 - Evaluation of techniques for estimating the age and growth of known‐age White Sturgeon","interactions":[],"lastModifiedDate":"2025-03-07T15:24:54.336028","indexId":"70264138","displayToPublicDate":"2024-08-02T08:16:04","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of techniques for estimating the age and growth of known‐age White Sturgeon","docAbstract":"

Objective

Successful conservation and management of fishes require an understanding of their age and growth. However, methods for estimating the age and growth of long-lived fish species are difficult to validate. The Kootenai River basin has a decades-long mark–recapture program for endangered White Sturgeon Acipenser transmontanus. The mark–recapture history information for White Sturgeon allowed for the evaluation of fin rays for age and growth analysis.

Methods

Age was estimated from pectoral fin rays of known‐age White Sturgeon (n = 162) to evaluate ageing accuracy and precision. Lengths were back‐calculated using four models and measurements obtained from two fin ray transects (i.e., lateral and posterior).

Result

Between-reader agreement for White Sturgeon ages was 58.7%. Consensus age agreement with known ages was poor (30.7%) and decreased with age. Among the four back-calculation models, the Fraser–Lee model provided the lowest root mean square error and percent error. Estimates of mean back-calculated lengths at age derived from the Fraser–Lee model were similar between the two measurement transects. Back-calculated lengths at age were similar to known lengths at age.

Conclusion

Ageing of White Sturgeon using fin rays was unreliable, and accuracy decreased with fish age. Back-calculated lengths at age were accurate using measurements from fin rays of known-age fish. Length estimates from the two measurement transects were similar when using the Fraser–Lee method, suggesting that they may be used interchangeably.

","language":"English","publisher":"Wiley","doi":"10.1002/nafm.11021","usgsCitation":"Ghere, C., Hardy, R.S., Wilson, S., and Quist, M.C., 2024, Evaluation of techniques for estimating the age and growth of known‐age White Sturgeon: North American Journal of Fisheries Management, v. 44, no. 4, p. 880-889, https://doi.org/10.1002/nafm.11021.","productDescription":"10 p.","startPage":"880","endPage":"889","ipdsId":"IP-159650","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":498009,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.11021","text":"Publisher Index Page"},{"id":483052,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Idaho, Montana","otherGeospatial":"British Columbia, Kootenai River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.01115919803547,\n 49.581745610583226\n ],\n [\n -118.01115919803547,\n 48.153450574705346\n ],\n [\n -115.33492252918343,\n 48.153450574705346\n ],\n [\n -115.33492252918343,\n 49.581745610583226\n ],\n [\n -118.01115919803547,\n 49.581745610583226\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"44","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-07-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Ghere, Courtnie L.","contributorId":352032,"corporation":false,"usgs":false,"family":"Ghere","given":"Courtnie","middleInitial":"L.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":929930,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hardy, Ryan S.","contributorId":167032,"corporation":false,"usgs":false,"family":"Hardy","given":"Ryan","email":"","middleInitial":"S.","affiliations":[{"id":6764,"text":"Idaho Department of Fish and Game, Nampa, Idaho","active":true,"usgs":false}],"preferred":false,"id":929931,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Sean","contributorId":352033,"corporation":false,"usgs":false,"family":"Wilson","given":"Sean","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":929932,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Quist, Michael C. 0000-0001-8268-1839","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":207142,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":929933,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70257321,"text":"70257321 - 2024 - Environmental drivers and spatial patterns of antibiotic-resistant, enteric coliforms across a forest–urban riverscape","interactions":[],"lastModifiedDate":"2024-09-11T16:25:03.119913","indexId":"70257321","displayToPublicDate":"2024-08-02T07:19:11","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Environmental drivers and spatial patterns of antibiotic-resistant, enteric coliforms across a forest–urban riverscape","docAbstract":"

Antibiotic resistant bacteria are prevalent environmental contaminants in freshwaters, and antibiotic resistance genes circulate throughout the urban water cycle. The increase of antibiotic resistant pathogens threatens public health through direct and indirect exposure, and natural resource managers need information on the spatial patterns of antibiotic resistant bacteria and environmental factors associated with their distribution to improve water quality monitoring and to better assess human, animal, and environmental health risks. We collected water and epilithic biofilm samples and measured physicochemical environmental variables at 29 sites distributed longitudinally in the Green-Duwamish River basin, Washington, USA. We characterized catchment-wide patterns of gram-negative fecal indicator bacteria and hypothesized that the presence of antibiotic resistance would be associated with environmental heterogeneity, bacterial primary ecology, stream compartment, and stream type. Antibiotic resistance was determined by microbial growth on selective media supplemented with 3 different antibiotics (ampicillin, chloramphenicol, or tetracycline). Phenotypic antibiotic resistance was positively associated with disturbance, but resistance to at least 1 antibiotic was also detected in undeveloped river segments, with an 83% overall detection rate (i.e., 24 out of 29 sites, 17 in the mainstem and 7 in tributaries). The most probable number of Escherichia coli was associated with higher levels of antibiotic resistance of non-E. coli coliforms across the basin (ρ = 0.38, p < 0.01) but was not associated with antibiotic resistance of E. coli. Phenotypic resistance was highest among non-E. coli coliforms in the water column of tributaries draining moderately to extensively developed subcatchments. Generalized linear mixed-effects model results showed that 18% of the variance in presence of antibiotic resistance was explained by the fixed effects (summed CV across environmental variables, stream type, primary ecology, and stream compartment), and when a spatial random effect was included, the model explained 27% of the variance. Our study provides new evidence that environmental factors and bacterial primary ecology are important underlying factors associated with spatial patterns of antibiotic resistant enteric coliforms. We used macroecological concepts and a riverscape approach to characterize the distribution of antibiotic resistance with methods applicable to municipalities.

","language":"English","publisher":"University of Chicago Press","doi":"10.1086/731976","usgsCitation":"Klock, A.M., Torgersen, C.E., Roberts, M.C., Vogt, D.J., and Vogt, K.A., 2024, Environmental drivers and spatial patterns of antibiotic-resistant, enteric coliforms across a forest–urban riverscape: Freshwater Science, v. 43, no. 3, p. 231-249, https://doi.org/10.1086/731976.","productDescription":"19 p.","startPage":"231","endPage":"249","ipdsId":"IP-100689","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":432756,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Klock, Angela M","contributorId":342283,"corporation":false,"usgs":false,"family":"Klock","given":"Angela","email":"","middleInitial":"M","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":909967,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torgersen, Christian E. 0000-0001-8325-2737 ctorgersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":146935,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian","email":"ctorgersen@usgs.gov","middleInitial":"E.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":909969,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roberts, Marilyn C","contributorId":342285,"corporation":false,"usgs":false,"family":"Roberts","given":"Marilyn","email":"","middleInitial":"C","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":909968,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vogt, Daniel J","contributorId":342289,"corporation":false,"usgs":false,"family":"Vogt","given":"Daniel","email":"","middleInitial":"J","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":909970,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vogt, Kristiina A","contributorId":342291,"corporation":false,"usgs":false,"family":"Vogt","given":"Kristiina","email":"","middleInitial":"A","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":909971,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70258627,"text":"70258627 - 2024 - Preface to the focus section on volcano monitoring in the Americas","interactions":[],"lastModifiedDate":"2024-09-19T11:48:04.520445","indexId":"70258627","displayToPublicDate":"2024-08-02T06:47:08","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Preface to the focus section on volcano monitoring in the Americas","docAbstract":"

From the Andes to the Aleutian Islands, the Americas are rich with volcanism that spans a diverse range of tectonic settings, eruptive styles, levels of activity, and hazards. Over the past 120 yr, the Americas have witnessed catastrophic volcanic eruptions that have significantly impacted nearby populations. Notable events include the 8 May 1902, pyroclastic density current from Mount Pelée in Martinique, which resulted in the loss of over 28,000 lives in Saint‐Pierre, with only one or two survivors (Lacroix, 1904), and the 1985 eruption of Nevado del Ruiz in Colombia, which triggered a lahar and left an estimated...

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220240270","usgsCitation":"Hotovec-Ellis, A.J., Garza-Giron, R., Waite, G., Farias, C., Layana, S., and Haney, M.M., 2024, Preface to the focus section on volcano monitoring in the Americas: Seismological Research Letters, v. 95, no. 5, p. 2577-2579, https://doi.org/10.1785/0220240270.","productDescription":"3 p.","startPage":"2577","endPage":"2579","ipdsId":"IP-167590","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":439127,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"95","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-08-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Hotovec-Ellis, Alicia J. 0000-0003-1917-0205","orcid":"https://orcid.org/0000-0003-1917-0205","contributorId":211785,"corporation":false,"usgs":true,"family":"Hotovec-Ellis","given":"Alicia","email":"","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":913435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garza-Giron, Ricardo 0000-0001-9775-9635","orcid":"https://orcid.org/0000-0001-9775-9635","contributorId":344313,"corporation":false,"usgs":false,"family":"Garza-Giron","given":"Ricardo","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":913436,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waite, Greg 0000-0002-7092-8125","orcid":"https://orcid.org/0000-0002-7092-8125","contributorId":215624,"corporation":false,"usgs":false,"family":"Waite","given":"Greg","email":"","affiliations":[{"id":36614,"text":"Michigan Tech","active":true,"usgs":false}],"preferred":false,"id":913437,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Farias, Christian","contributorId":344314,"corporation":false,"usgs":false,"family":"Farias","given":"Christian","email":"","affiliations":[{"id":82329,"text":"Universidad Católica de Temuco","active":true,"usgs":false}],"preferred":false,"id":913438,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Layana, Susana 0000-0002-0185-373X","orcid":"https://orcid.org/0000-0002-0185-373X","contributorId":335908,"corporation":false,"usgs":false,"family":"Layana","given":"Susana","email":"","affiliations":[{"id":80576,"text":"Millennium Institute on Volcanic Risk Research - Ckelar Volcanoes","active":true,"usgs":false}],"preferred":false,"id":913439,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haney, Matthew M. 0000-0003-3317-7884 mhaney@usgs.gov","orcid":"https://orcid.org/0000-0003-3317-7884","contributorId":172948,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":913440,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70257086,"text":"70257086 - 2024 - Peri-Gondwanan sediment in the Arkoma Basin derived from the north: The detrital zircon record of a uniquely concentrated non-Laurentian source signal in the late Paleozoic","interactions":[],"lastModifiedDate":"2024-10-07T16:14:46.422867","indexId":"70257086","displayToPublicDate":"2024-08-02T06:46:56","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Peri-Gondwanan sediment in the Arkoma Basin derived from the north: The detrital zircon record of a uniquely concentrated non-Laurentian source signal in the late Paleozoic","docAbstract":"

During the assembly of Pangea, peri-Gondwanan terranes collided with the eastern and southern margins of Laurentia and brought with them unique detrital zircon U-Pb signatures. Discriminating between individual peri-Gondwanan terranes in the detrital record is difficult due to their similar geologic histories. However, characterization of this provenance is critical for understanding late Paleozoic sediment routing during development of Pangea. Along southeastern Laurentia, in the Arkoma Basin (present-day Arkansas and eastern Oklahoma, southeastern United States), we identified Middle Pennsylvanian (Desmoinesian) strata that exhibit a concentrated peri-Gondwanan detrital zircon signature (e.g., ca. 800–550 Ma). Although several southern peri-Gondwanan terranes (e.g., Maya, Suwannee) are closer to the Arkoma Basin, geologic data, such as predominantly north-to-south paleocurrents and proximal-to-distal facies relationships in these Desmoinesian strata, support a northern source (e.g., Ganderia, Avalonia, Meguma). Further evidence of a northern source comes from detrital zircon source mapping, which reveals the persistence of this peri-Gondwanan signal in depocenters to the north of the basin after the signal had diminished in the Arkoma Basin. To this end, bottom-up detrital zircon source modeling, source mapping, regional stratigraphy, paleocurrent data, and sandstone petrography allow us to reconstruct the evolution of this Middle Pennsylvanian (Desmoinesian) sediment pathway in the context of intraplate and plate-margin tectonic activity. This reconstruction documents processes affecting Earth’s surface (e.g., tectonics, climate) during the assembly of Pangea and describes in detail part of a dynamic continental-scale drainage system.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02740.1","usgsCitation":"Smith, T.M., Dechesne, M., Hirtz, J.A., Sharman, G.R., Hudson, M.R., Lutz, B.M., and Griffis, N.P., 2024, Peri-Gondwanan sediment in the Arkoma Basin derived from the north: The detrital zircon record of a uniquely concentrated non-Laurentian source signal in the late Paleozoic: Geosphere, v. 20, no. 5, p. 1286-1314, https://doi.org/10.1130/GES02740.1.","productDescription":"29 p.","startPage":"1286","endPage":"1314","ipdsId":"IP-159412","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":486904,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02740.1","text":"Publisher Index Page"},{"id":432430,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-08-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Tyson Michael 0000-0003-2834-3526","orcid":"https://orcid.org/0000-0003-2834-3526","contributorId":330276,"corporation":false,"usgs":true,"family":"Smith","given":"Tyson","email":"","middleInitial":"Michael","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":909355,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dechesne, Marieke 0000-0002-4468-7495","orcid":"https://orcid.org/0000-0002-4468-7495","contributorId":213936,"corporation":false,"usgs":true,"family":"Dechesne","given":"Marieke","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":909356,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hirtz, Jaime Ann Megumi 0000-0002-6701-0137","orcid":"https://orcid.org/0000-0002-6701-0137","contributorId":292911,"corporation":false,"usgs":true,"family":"Hirtz","given":"Jaime","email":"","middleInitial":"Ann Megumi","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":909357,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sharman, Glenn R.","contributorId":341980,"corporation":false,"usgs":false,"family":"Sharman","given":"Glenn","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":909358,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hudson, Mark R. 0000-0003-4447-7989 mhudson@usgs.gov","orcid":"https://orcid.org/0000-0003-4447-7989","contributorId":341982,"corporation":false,"usgs":true,"family":"Hudson","given":"Mark","email":"mhudson@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":909359,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lutz, Brandon Michael 0000-0002-6580-9025","orcid":"https://orcid.org/0000-0002-6580-9025","contributorId":299272,"corporation":false,"usgs":true,"family":"Lutz","given":"Brandon","email":"","middleInitial":"Michael","affiliations":[{"id":64806,"text":"National Cooperative Geologic Mapping","active":true,"usgs":true}],"preferred":true,"id":909360,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Griffis, Neil Patrick 0000-0002-2506-7549","orcid":"https://orcid.org/0000-0002-2506-7549","contributorId":330218,"corporation":false,"usgs":true,"family":"Griffis","given":"Neil","email":"","middleInitial":"Patrick","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":909361,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70257114,"text":"70257114 - 2024 - Wave propagation in layered soil deposits","interactions":[],"lastModifiedDate":"2026-04-09T16:03:54.633142","indexId":"70257114","displayToPublicDate":"2024-08-01T11:02:01","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Wave propagation in layered soil deposits","docAbstract":"

Recent advances in the general theory of viscoelastic waves and rays in layered media provide a rigorous mathematical framework for site-specific, soil-response models used for earthquake resistant design. The advances provide general closed-form anelastic solutions for the classic problems of the response of a stack of soil layers to S and P waves, ray theory for reflected and refracted waves, Rayleigh- and Love-Type surface waves, and head waves. These general solutions valid for anelastic media regardless of the amount of material damping yield new insights regarding the characteristics of seismic waves and their ray paths that are not provided by conventional models. They provide corresponding numerical ground-response models and ray-tracing computation algorithms that account for changes in velocity and attenuation of anelastic waves associated with changes in inhomogeneity of the waves induced by anelastic soil and soil-rock boundaries. These anelastic effects manifest themselves as variations in amplitude response, amplitude attenuation, raypath location, and travel time as observed at the Earth’s surface. Implications of these anelastic effects for soil-response models used for earthquake resistant design are provided herein. 

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 18th WCEE 2024","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"International Association for Earthquake Engineering","collaboration":"None","usgsCitation":"Borcherdt, R.D., 2024, Wave propagation in layered soil deposits, in Proceedings of the 18th WCEE 2024, 12 p.","productDescription":"12 p.","ipdsId":"IP-158288","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":502365,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":502364,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://proceedings-wcee.org/view.html?id=22759&conference=18WCEE"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Borcherdt, Roger D. 0000-0002-8668-0849 borcherdt@usgs.gov","orcid":"https://orcid.org/0000-0002-8668-0849","contributorId":2373,"corporation":false,"usgs":true,"family":"Borcherdt","given":"Roger","email":"borcherdt@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":909459,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70260498,"text":"70260498 - 2024 - Geochemistry of Archean komatiitic greenstone terranes of the Wyoming Province: Implications for geodynamic setting and mineralization","interactions":[],"lastModifiedDate":"2024-11-05T17:02:05.536003","indexId":"70260498","displayToPublicDate":"2024-08-01T10:58:26","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Geochemistry of Archean komatiitic greenstone terranes of the Wyoming Province: Implications for geodynamic setting and mineralization","docAbstract":"

No abstract available.

","conferenceTitle":"International Ni-Cu Symposium","conferenceDate":"August 6-8, 2024","conferenceLocation":"Thunder Bay, Ontario, Canada","language":"English","publisher":"Lakehead University","usgsCitation":"Zieman, L.J., Poletti, J.E., and Jenkins, M., 2024, Geochemistry of Archean komatiitic greenstone terranes of the Wyoming Province: Implications for geodynamic setting and mineralization, International Ni-Cu Symposium, Thunder Bay, Ontario, Canada, August 6-8, 2024, p. 105-106.","productDescription":"2 p.","startPage":"105","endPage":"106","ipdsId":"IP-164815","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":463696,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://ec.lakeheadu.ca/ni-cu/scientific-program","linkFileType":{"id":5,"text":"html"}},{"id":463706,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zieman, Lisa Joanne 0000-0002-0065-2565","orcid":"https://orcid.org/0000-0002-0065-2565","contributorId":345932,"corporation":false,"usgs":true,"family":"Zieman","given":"Lisa","email":"","middleInitial":"Joanne","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":917902,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poletti, Jacob Evan 0000-0002-3091-1249","orcid":"https://orcid.org/0000-0002-3091-1249","contributorId":345933,"corporation":false,"usgs":true,"family":"Poletti","given":"Jacob","email":"","middleInitial":"Evan","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":917903,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jenkins, Michael 0000-0002-4261-409X mjenkins@usgs.gov","orcid":"https://orcid.org/0000-0002-4261-409X","contributorId":172433,"corporation":false,"usgs":true,"family":"Jenkins","given":"Michael","email":"mjenkins@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":917904,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70256972,"text":"70256972 - 2024 - Asynchronous movement patterns between breeding and stopover locations in a long-distance migratory songbird","interactions":[],"lastModifiedDate":"2024-08-05T15:55:44.670373","indexId":"70256972","displayToPublicDate":"2024-08-01T10:52:17","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":947,"text":"Avian Conservation and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Asynchronous movement patterns between breeding and stopover locations in a long-distance migratory songbird","docAbstract":"

The species-specific migratory patterns and strategies of many songbirds remain unknown or understudied, as research in animal ecology is biased toward the breeding period, with the fewest studies on the migratory period across taxa. Identifying large-scale spatiotemporal migratory patterns is challenging, as individuals within a species may vary in their migratory behavior and strategies. The Yellow Warbler (Setophaga petechia) is a Nearctic-Neotropical migrant that is relatively well studied during the breeding season, but its species-wide migratory patterns remain understudied. Our aim in studying Yellow Warbler movement ecology was to characterize temporal migration patterns during fall migration. We sought to determine the temporal migration pattern among breeding locations, as determined by the hydrogen stable isotope values in feather samples collected at disjunct (~2000 km) stopover sites in the Gulf of Maine (n = 50) and the Gulf of Mexico (n = 150). We used a similarity matrix to group individuals into a geographic cluster by breeding location, which was then used as the response variable in a modeling analysis. Our results provide evidence that Yellow Warblers exhibit an asynchronous, type 1 temporal migration pattern with southern breeding populations initiating migration prior to northern populations. Using hydrogen isotopes, we identified the temporal migration patterns between geographic clusters, representing an individual’s breeding location, and stopover sites along the Gulf of Maine and Gulf of Mexico, which fills a gap in understanding Yellow Warbler migration ecology.

","language":"English","publisher":"Resilience Alliance","doi":"10.5751/ACE-02688-190203","usgsCitation":"Zenzal, T.J., Contina, A., Vander Zanden, H.B., Kuwahara, L.K., Allen, D.C., and Covino, K.M., 2024, Asynchronous movement patterns between breeding and stopover locations in a long-distance migratory songbird: Avian Conservation and Ecology, v. 19, no. 2, 3, 13 p., https://doi.org/10.5751/ACE-02688-190203.","productDescription":"3, 13 p.","ipdsId":"IP-148926","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":439233,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/ace-02688-190203","text":"Publisher Index Page"},{"id":432197,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zenzal, Theodore J. Jr. 0000-0001-7342-1373","orcid":"https://orcid.org/0000-0001-7342-1373","contributorId":224399,"corporation":false,"usgs":true,"family":"Zenzal","given":"Theodore","suffix":"Jr.","email":"","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":909033,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Contina, Andrea","contributorId":341849,"corporation":false,"usgs":false,"family":"Contina","given":"Andrea","email":"","affiliations":[{"id":78410,"text":"University of Texas Rio Grande Valley","active":true,"usgs":false}],"preferred":false,"id":909034,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vander Zanden, Hannah B.","contributorId":138885,"corporation":false,"usgs":false,"family":"Vander Zanden","given":"Hannah","email":"","middleInitial":"B.","affiliations":[{"id":12562,"text":"Department of Geology and Geophysics, University of Utah; Archie Carr Center for Sea Turtle Research, University of Florida","active":true,"usgs":false}],"preferred":false,"id":909035,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kuwahara, Leanne K.","contributorId":341850,"corporation":false,"usgs":false,"family":"Kuwahara","given":"Leanne","email":"","middleInitial":"K.","affiliations":[{"id":81800,"text":"Layola Marymount University","active":true,"usgs":false}],"preferred":false,"id":909036,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allen, Daniel C.","contributorId":335231,"corporation":false,"usgs":false,"family":"Allen","given":"Daniel","email":"","middleInitial":"C.","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":909037,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Covino, Kristen M.","contributorId":341851,"corporation":false,"usgs":false,"family":"Covino","given":"Kristen","email":"","middleInitial":"M.","affiliations":[{"id":81801,"text":"Loyola Marymount University","active":true,"usgs":false}],"preferred":false,"id":909038,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70260495,"text":"70260495 - 2024 - A multi-methodological approach: Combining textural observations and geochronology to study the J-M Reef Package and its Hanging Wall, Stillwater Complex, Montana","interactions":[],"lastModifiedDate":"2024-11-05T16:57:22.078635","indexId":"70260495","displayToPublicDate":"2024-08-01T10:51:58","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"A multi-methodological approach: Combining textural observations and geochronology to study the J-M Reef Package and its Hanging Wall, Stillwater Complex, Montana","docAbstract":"

No abstract available.

","conferenceTitle":"International Ni-Cu Symposium","conferenceDate":"August 6-8, 2024","conferenceLocation":"Thunder Bay, Ontario, Canada","language":"English","publisher":"Lakehead University","usgsCitation":"Jenkins, M., Corson, S.R., Geraghty, E., Kamo, S., Lowers, H.A., and Mungall, J.E., 2024, A multi-methodological approach: Combining textural observations and geochronology to study the J-M Reef Package and its Hanging Wall, Stillwater Complex, Montana, International Ni-Cu Symposium, Thunder Bay, Ontario, Canada, August 6-8, 2024, p. 41-43.","productDescription":"3 p.","startPage":"41","endPage":"43","ipdsId":"IP-164678","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":463694,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://ec.lakeheadu.ca/ni-cu/scientific-program","linkFileType":{"id":5,"text":"html"}},{"id":463705,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"J-M Reef Package and its Hanging Wall, Stillwater Complex","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jenkins, Michael 0000-0002-4261-409X mjenkins@usgs.gov","orcid":"https://orcid.org/0000-0002-4261-409X","contributorId":172433,"corporation":false,"usgs":true,"family":"Jenkins","given":"Michael","email":"mjenkins@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":917891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corson, Sam R.","contributorId":260808,"corporation":false,"usgs":false,"family":"Corson","given":"Sam","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":917892,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Geraghty, Ennis","contributorId":345929,"corporation":false,"usgs":false,"family":"Geraghty","given":"Ennis","email":"","affiliations":[{"id":56274,"text":"Sibanye-Stillwater","active":true,"usgs":false}],"preferred":false,"id":917893,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kamo, S.L.","contributorId":23287,"corporation":false,"usgs":true,"family":"Kamo","given":"S.L.","email":"","affiliations":[],"preferred":false,"id":917894,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lowers, Heather A. 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":191307,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":917895,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mungall, James E. 0000-0001-9726-8545","orcid":"https://orcid.org/0000-0001-9726-8545","contributorId":269537,"corporation":false,"usgs":false,"family":"Mungall","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":917896,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70257480,"text":"70257480 - 2024 - Capelin on the rebound: Using seabird diets to track trends in forage fish populations","interactions":[],"lastModifiedDate":"2024-08-16T15:28:57.932189","indexId":"70257480","displayToPublicDate":"2024-08-01T10:25:33","publicationYear":"2024","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":18341,"text":"Delta Sound Connections","active":true,"publicationSubtype":{"id":30}},"title":"Capelin on the rebound: Using seabird diets to track trends in forage fish populations","docAbstract":"Capelin are cold-water forage fish that respond rapidly to fluctuating ocean temperatures. They are prized food for seabirds and other marine predators in Alaska. Researchers have monitored seabird diets at Middleton Island for decades to make connections between changes in abundance of predators and their prey. During a prolonged marine heatwave in the Gulf of Alaska, seabird diets and limited trawl surveys showed that capelin populations collapsed from record high abundance during the 2007–2013 cool period (Hatch 2013) to record lows in 2016 (Arimitsu et al. 2021). Capelin occurrence in diets had previously oscillated out of phase with Pacific sand lance numbers during cold and warm years (Sydeman et al. 2017), however, the occurrence of both prey species in seabird diets fell below average during 2014–2022 (Fig. 1). Following a period of cooler ocean temperatures in the Gulf of Alaska, during 2023 we began to see signs of capelin stock recovery, with a moderate increase in occurrence in spring and summer seabird diets (Fig. 1, Hatch et al. 2023). Continued monitoring of seabird diets can help track capelin populations and other key forage fish to inform ecosystem-based management in 2024 and beyond.","language":"English","publisher":"Prince William Sound Science Center","usgsCitation":"Arimitsu, M.L., Marsteller, C.E., Piatt, J., Hatch, S., and Wheland, S., 2024, Capelin on the rebound: Using seabird diets to track trends in forage fish populations: Delta Sound Connections, v. 2024-'25.","productDescription":"1 p.","startPage":"6","ipdsId":"IP-163358","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":432862,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":432861,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pwssc.org/education/delta-sound-connections/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","otherGeospatial":"Gulf of Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -150.77199585957212,\n 59.26881099856607\n ],\n [\n -153.94611405017184,\n 56.51729622949853\n ],\n [\n -134.98579563208682,\n 56.545558198375346\n ],\n [\n -137.67284996186456,\n 58.70580202741482\n ],\n [\n -141.66575217225886,\n 59.854419527837756\n ],\n [\n -146.2252427959988,\n 60.429156939699894\n ],\n [\n -150.77199585957212,\n 59.26881099856607\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"2024-'25","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Arimitsu, Mayumi L. 0000-0001-6982-2238 marimitsu@usgs.gov","orcid":"https://orcid.org/0000-0001-6982-2238","contributorId":140501,"corporation":false,"usgs":true,"family":"Arimitsu","given":"Mayumi","email":"marimitsu@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":910510,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marsteller, Caitlin Elizabeth 0000-0002-2430-0708","orcid":"https://orcid.org/0000-0002-2430-0708","contributorId":251784,"corporation":false,"usgs":true,"family":"Marsteller","given":"Caitlin","email":"","middleInitial":"Elizabeth","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":910822,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Piatt, John F. 0000-0002-4417-5748","orcid":"https://orcid.org/0000-0002-4417-5748","contributorId":244053,"corporation":false,"usgs":true,"family":"Piatt","given":"John F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":910513,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatch, Scott","contributorId":258853,"corporation":false,"usgs":false,"family":"Hatch","given":"Scott","affiliations":[{"id":52319,"text":"ISRC","active":true,"usgs":false}],"preferred":false,"id":910511,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wheland, Shannon","contributorId":342935,"corporation":false,"usgs":false,"family":"Wheland","given":"Shannon","email":"","affiliations":[{"id":35874,"text":"Institute for Seabird Research and Conservation","active":true,"usgs":false}],"preferred":false,"id":910512,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70261861,"text":"70261861 - 2024 - Observing systems, modeling, and forecasting","interactions":[],"lastModifiedDate":"2025-01-02T14:29:47.543312","indexId":"70261861","displayToPublicDate":"2024-08-01T10:16:25","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"chapter":"1","title":"Observing systems, modeling, and forecasting","docAbstract":"

Predicting harmful algal blooms (HABs) requires integrating physical, chemical, and biological data collected from observing networks and then assimilating these data into models, which are used to generate forecasts. In 2005, the Harmful Algal Research and Response: A National Environmental Science Strategy 2005-2015 (HARRNESS, 2005) made recommendations on how to improve HAB modeling and forecasting over the next decade. Key HARRNESS recommendations related to sensing, networking, and modeling HABs included:

● Support the development and validation of new and improved technologies for remote cell and toxin detection, and for modeling and forecasting,

● Improve coordination of monitoring/ and modeling efforts, both at national and regional levels,

● Improve the use of networking technologies for monitoring and modeling efforts,

● Conduct sustained time series measurements of the biotic, chemical, and physical environments impacted by HABs,

● Develop food web models on the ecosystem fate and effects of toxins,

● Develop and improve species-specific models that link to physical-biological models.

Here we review HAB observing, modeling, and forecasting advances and technologies and recommend research and management priorities for the next decade and beyond. Our report encompasses sensing technologies, sensor networking and data management, models and forecasts, and the paths to operationalize forecasts.

Continued improvements of deployable sensors are foundational to improving early warning indicators, models, and forecasts, which are only as good as the underlying data. Sensing technology has advanced considerably in the last decade; for example, more capable fluorometric pigment sensors can track changes in bloom biomass in real-time. Additionally, automated imaging/classifying systems to identify and quantify key harmful algal (HA) taxa are being routinely deployed. However, deployable toxin sensors are available for only some HAB toxins and continue to be identified as a critical need by researchers and managers. As more and improved sensors and technologies become available, the data quality associated with each sensor needs to be assessed. Data quality encompasses the reliability, accuracy, and uncertainty associated with sensor-generated data. These data need to be of known quality so that researchers, managers, and end-users can reliably determine if the information is appropriate for their intended applications. Many of the data quality recommendations from HARRNESS (2005) are still relevant and have been reiterated within the management community. Understanding and documenting data quality, and when applicable, standardizing best practices for sensor use, continue to be recommended.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Harmful algal research & response: A national environmental science strategy (HARRNESS), 2024-2034","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","publisher":"Woods Hole Oceanographic Institution","doi":"10.1575/1912/69773","usgsCitation":"Bouma-Gregson, K., Doucette, G., Graham, J.L., Kudela, R., Stauffer, B., Anderson, C., Bratton, J.F., Holcomb, B.M., Hubbard, K., Norris, T., Stiles, T., Tango, P.J., Raymond, H., and Zubkousky, V., 2024, Observing systems, modeling, and forecasting, 25 p., https://doi.org/10.1575/1912/69773.","productDescription":"25 p.","startPage":"31","endPage":"55","ipdsId":"IP-146565","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":465571,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2024-07-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Bouma-Gregson, Keith 0000-0002-0304-6034","orcid":"https://orcid.org/0000-0002-0304-6034","contributorId":311235,"corporation":false,"usgs":true,"family":"Bouma-Gregson","given":"Keith","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922053,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doucette, Gregory","contributorId":347606,"corporation":false,"usgs":false,"family":"Doucette","given":"Gregory","affiliations":[],"preferred":false,"id":922057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922058,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kudela, Raphael","contributorId":196461,"corporation":false,"usgs":false,"family":"Kudela","given":"Raphael","affiliations":[],"preferred":false,"id":922061,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stauffer, Beth","contributorId":347626,"corporation":false,"usgs":false,"family":"Stauffer","given":"Beth","affiliations":[],"preferred":false,"id":922072,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anderson, Clarissa 0000-0001-5970-0253","orcid":"https://orcid.org/0000-0001-5970-0253","contributorId":213451,"corporation":false,"usgs":false,"family":"Anderson","given":"Clarissa","email":"","affiliations":[{"id":34004,"text":"Scripps Institute of Oceanography","active":true,"usgs":false}],"preferred":false,"id":922056,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bratton, John F. 0000-0003-0376-4981 jbratton@usgs.gov","orcid":"https://orcid.org/0000-0003-0376-4981","contributorId":92757,"corporation":false,"usgs":true,"family":"Bratton","given":"John","email":"jbratton@usgs.gov","middleInitial":"F.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":922059,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Holcomb, Benjamin M.","contributorId":53700,"corporation":false,"usgs":true,"family":"Holcomb","given":"Benjamin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":922060,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hubbard, Kate","contributorId":347683,"corporation":false,"usgs":false,"family":"Hubbard","given":"Kate","affiliations":[],"preferred":false,"id":922062,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Norris, Tenaya","contributorId":347684,"corporation":false,"usgs":false,"family":"Norris","given":"Tenaya","affiliations":[],"preferred":false,"id":922063,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Stiles, Tom","contributorId":347685,"corporation":false,"usgs":false,"family":"Stiles","given":"Tom","affiliations":[],"preferred":false,"id":922064,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Tango, Peter J. pjtango@usgs.gov","contributorId":4088,"corporation":false,"usgs":true,"family":"Tango","given":"Peter","email":"pjtango@usgs.gov","middleInitial":"J.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922065,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Raymond, Heather","contributorId":291257,"corporation":false,"usgs":false,"family":"Raymond","given":"Heather","email":"","affiliations":[{"id":18155,"text":"The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":922067,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Zubkousky, Vanessa","contributorId":347686,"corporation":false,"usgs":false,"family":"Zubkousky","given":"Vanessa","affiliations":[],"preferred":false,"id":922066,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70257604,"text":"70257604 - 2024 - Annual migratory movement, apparent molt-migration, migration schedule, and diffuse migratory connectivity of Hermit Warblers","interactions":[],"lastModifiedDate":"2024-08-20T15:22:02.608054","indexId":"70257604","displayToPublicDate":"2024-08-01T10:13:52","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":947,"text":"Avian Conservation and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Annual migratory movement, apparent molt-migration, migration schedule, and diffuse migratory connectivity of Hermit Warblers","docAbstract":"

Quantifying migratory connectivity and annual movement is key to sound conservation planning for migratory species. Hermit Warblers (Setophaga occidentalis) are an endemic-breeding species in the Pacific Northwest that winters in Mexico and the Central Americas. This species faces threats from mature forest loss and climate change throughout its range, but we know little about its migration ecology. To understand the annual movements and migratory connectivity of Hermit Warblers, we tracked 22 adult male Hermit Warblers from six breeding sites across the species’ breeding range using geolocators to examine migratory connectivity, spatiotemporal patterns, and migration routes. We found a high degree of mixing on the wintering grounds among birds from different breeding locations, indicating low migratory connectivity. However, birds breeding in Yosemite, the southernmost breeding location in our study, wintered farther east and south than birds from more northern breeding locations, providing weak evidence for potential chain migration. All birds showed much shorter and faster movements during spring migration than during fall migration. Birds arrived at breeding grounds from late April to mid-May and left breeding ranges from late June to mid-July. In fall, birds moved slowly from the breeding locations to montane regions in southern Oregon and California, which may indicate post-breeding molt before swiftly migrating to wintering grounds. Low migratory connectivity in this species implies that habitat and climate change across the broad wintering range may affect breeding populations throughout the species’ breeding range. A particularly compressed breeding schedule and departure of birds from the breeding grounds in early July may indicate that breeding is limited by a short window of favorable climatic conditions for breeding, which could signal heightened vulnerability under future climatic scenarios.

","language":"English","publisher":"Resilience Alliance","doi":"10.5751/ACE-02622-190206","usgsCitation":"Kim, H., Siegel, R., Stephens, J.L., Hagar, J., Furnas, B., Jeong, M., McComb, B., and Betts, M., 2024, Annual migratory movement, apparent molt-migration, migration schedule, and diffuse migratory connectivity of Hermit Warblers: Avian Conservation and Ecology, v. 19, no. 2, 6, 19 p., https://doi.org/10.5751/ACE-02622-190206.","productDescription":"6, 19 p.","ipdsId":"IP-149339","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":439234,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.5751/ace-02622-190206","text":"Publisher Index Page"},{"id":432941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Costa Rica, El Salvador, Guatemala, Honduras, Mexico, Nicaragua, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.11203028252265,\n 47.82187188181675\n ],\n [\n -123.78944793706691,\n 46.93753054676185\n ],\n [\n -124.6414125408566,\n 41.58908295445511\n ],\n [\n -123.76636171157838,\n 38.898156250751896\n ],\n [\n -121.01118030676412,\n 34.73923370076069\n ],\n [\n -114.41027429470861,\n 28.70764099274254\n ],\n [\n -110.85644692068149,\n 27.899656621073362\n ],\n [\n -105.51137356648343,\n 22.512656408826786\n ],\n [\n -105.3528752882118,\n 19.65270323671625\n ],\n [\n -96.847740450098,\n 15.062683530657822\n ],\n [\n -94.78046172958133,\n 16.381874246929584\n ],\n [\n -88.93617423399866,\n 12.987506247141695\n ],\n [\n -82.96824120792775,\n 8.601482016581201\n ],\n [\n -84.2473837733847,\n 12.296450374282543\n ],\n [\n -90.84763601057068,\n 17.58036685913001\n ],\n [\n -97.19436678836715,\n 19.53440699783762\n ],\n [\n -106.6740211752392,\n 31.781536902714677\n ],\n [\n -116.89399027637168,\n 39.9200429404375\n ],\n [\n -119.15894422131151,\n 44.206880348869106\n ],\n [\n -120.11203028252265,\n 47.82187188181675\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"19","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kim, Hankyu","contributorId":340621,"corporation":false,"usgs":false,"family":"Kim","given":"Hankyu","email":"","affiliations":[{"id":81639,"text":"University of Wisconsin – Madison","active":true,"usgs":false}],"preferred":false,"id":911018,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Siegel, Rodney","contributorId":195415,"corporation":false,"usgs":false,"family":"Siegel","given":"Rodney","affiliations":[],"preferred":false,"id":911019,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stephens, Jaime L","contributorId":343422,"corporation":false,"usgs":false,"family":"Stephens","given":"Jaime","email":"","middleInitial":"L","affiliations":[{"id":33317,"text":"Klamath Bird Observatory","active":true,"usgs":false}],"preferred":false,"id":911020,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hagar, Joan 0000-0002-3044-6607 joan_hagar@usgs.gov","orcid":"https://orcid.org/0000-0002-3044-6607","contributorId":3369,"corporation":false,"usgs":true,"family":"Hagar","given":"Joan","email":"joan_hagar@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":911021,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Furnas, Brett","contributorId":343423,"corporation":false,"usgs":false,"family":"Furnas","given":"Brett","email":"","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":911022,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jeong, Min-Su","contributorId":343424,"corporation":false,"usgs":false,"family":"Jeong","given":"Min-Su","email":"","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":911023,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McComb, Brenda C","contributorId":343426,"corporation":false,"usgs":false,"family":"McComb","given":"Brenda C","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":911024,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Betts, Matthew G.","contributorId":340630,"corporation":false,"usgs":false,"family":"Betts","given":"Matthew G.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":911025,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70258271,"text":"70258271 - 2024 - Abundance and distribution of white-tailed deer on First State National Historical Park and surrounding lands","interactions":[],"lastModifiedDate":"2024-09-11T15:14:35.971177","indexId":"70258271","displayToPublicDate":"2024-08-01T10:13:51","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—2024/176","title":"Abundance and distribution of white-tailed deer on First State National Historical Park and surrounding lands","docAbstract":"

We estimated both abundance and distribution of white-tailed deer (Odocoileus virginianus) on the Brandywine Valley unit of First State National Historical Park (FRST) and the Brandywine Creek State Park (BCSP) during 2020 and 2021 with two widely used field methods — a road-based count and a network of camera traps. We conducted 24 road-based counts, covering 260 km of roadway, and deployed up to 16 camera traps, processing over 82,000 images representing over 5,000 independent observations.

In both years, we identified bucks based on their body and antler characteristics, tracking their movements between baited camera trap locations. We tested seven estimators commonly reported in the literature, comparing the relative merits for managers of small, protected natural areas like FRST.

Deer densities estimated from conventional road-based distance sampling were approximately 10 deer/km2 lower than densities estimated from camera-trapping surveys. We attribute the bias in roadbased distance sampling to the difficulty of recording the precise effort expended to obtain the counts. Modifying the distance sampling method addressed many of the issues associated with the conventional approach. Despite little substantive differences in land cover types between the two methods, a clear spatial segregation of male and female deer at camera trap locations could bias roadbased counts if the sexes are not encountered in proportion to their abundances. There was a distinct gradient in deer distribution across the study area, with higher proportions of deer recorded in camera traps at FRST than BCSP, which harvests 20–60 deer annually during a regulated, hunting season.

The most reliable (i.e., low bias, acceptable precision) methods, Spatial Capture Recapture (SCR) and Density Surface Modeling (DSM), produced deer densities of approximately 50 deer/km2 in each year — a number which is consistent with previous estimates for New Castle County, Delaware, and our experience in similar, unhunted natural areas. Across both FRST and BCSP, these densities translated into area-wide (~1000 ha) population sizes between 650–1000 deer, with about one-half to two-thirds comprising the FRST population.

Density surface modeling of mapped locations of deer detected during surveys, combined with camera-trapping and a time-to-event data analysis might be the only practical means of reliably assessing white-tailed deer abundance in small (<2000 ha), protected natural areas like FRST. Most other approaches are either too time-consuming, require identification and tracking of individual deer, the use of bait, or require intervention by a subject-area expert.

","language":"English","publisher":"National Park Service","doi":"10.36967/2305428","usgsCitation":"Underwood, H.B., Hand, M.R., and Leopold, D.J., 2024, Abundance and distribution of white-tailed deer on First State National Historical Park and surrounding lands: Science Report NPS/SR—2024/176, x, 76 p., https://doi.org/10.36967/2305428.","productDescription":"x, 76 p.","ipdsId":"IP-154880","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":433697,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Pennsylvania","otherGeospatial":"Brandywine Creek State Park, Brandywine Valley unit of First State National Historical Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.57893855864407,\n 39.84864721075371\n ],\n [\n -75.57893855864407,\n 39.79988968093724\n ],\n [\n -75.54431018453508,\n 39.79988968093724\n ],\n [\n -75.54431018453508,\n 39.84864721075371\n ],\n [\n -75.57893855864407,\n 39.84864721075371\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Underwood, H. Brian 0000-0002-2064-9128 hbunderw@usgs.gov","orcid":"https://orcid.org/0000-0002-2064-9128","contributorId":140185,"corporation":false,"usgs":true,"family":"Underwood","given":"H.","email":"hbunderw@usgs.gov","middleInitial":"Brian","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":912809,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hand, Madison R.","contributorId":344097,"corporation":false,"usgs":false,"family":"Hand","given":"Madison","email":"","middleInitial":"R.","affiliations":[{"id":13404,"text":"SUNY College of Environmental Science & Forestry","active":true,"usgs":false}],"preferred":false,"id":912810,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leopold, Donald J.","contributorId":220142,"corporation":false,"usgs":false,"family":"Leopold","given":"Donald","email":"","middleInitial":"J.","affiliations":[{"id":13404,"text":"SUNY College of Environmental Science & Forestry","active":true,"usgs":false}],"preferred":false,"id":912811,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70259789,"text":"70259789 - 2024 - Synthesizing professional opinion of Lake Whitefish and Cisco recruitment drivers across the Great Lakes","interactions":[],"lastModifiedDate":"2024-10-25T15:17:14.885159","indexId":"70259789","displayToPublicDate":"2024-08-01T10:11:24","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18755,"text":"The Laurentian","active":true,"publicationSubtype":{"id":10}},"title":"Synthesizing professional opinion of Lake Whitefish and Cisco recruitment drivers across the Great Lakes","docAbstract":"

Disentangling the suite of ecological drivers that explain recruitment variability for Lake Whitefish Coregonus clupeaformis and Cisco C. artedi is of critical importance for their conservation, management, and stewardship in the Laurentian Great Lakes. However, recruitment is inherently variable and can be regulated by many interacting processes, the relative importance of which can vary spatially, temporally, and ontogenetically. Given this complexity, comparisons across lakes and species that identify overarching hypotheses could efficiently guide future research. Using facilitated deliberations among fishery professionals (n = 57) with expertise in Great Lakes Coregonus spp., we synthesized current knowledge regarding (1) which biophysical processes are most important for driving contemporary recruitment between species, among lakes, and across life stages and (2) mechanisms by which those drivers regulate recruitment at key life stages. Participants affirmed the hypothesis that many drivers interact in complex ways to regulate Lake Whitefish and Cisco recruitment. Large-scale climatic processes affecting early life-stage growth and survival were consistently considered important. Other drivers were only deemed influential in certain lakes, highlighting perceived context-dependent recruitment dynamics. Notably, recruitment in Lakes Superior, Michigan, and Huron was considered limited during larval and early juvenile life stages by low productivity, whereas spawning-habitat degradation and reduced metapopulation diversity were hypothesized to limit recruitment during embryonic and larval stages in Lakes Erie and Ontario. Several drivers were hypothesized to similarly impact Lake Whitefish and Cisco during early life stages, while drivers acting on post-larval life stages were typically distinct between species. The hypotheses synthesized herein can guide future research on Lake Whitefish and Cisco recruitment dynamics in the Great Lakes.

","language":"English","publisher":"Great Lakes Fishery Commission","doi":"10.70227/glfc-laur20240101","usgsCitation":"Brown, T.A., Rudstam, L.G., Sethi, S.A., Hessell, C., Olsen, E., Jonas, J.L., Rook, B.J., Pothoven, S.A., Beech, S.J., Dunlop, E.S., James, S., Smith, J.B., Amidon, Z., Carl, D.D., Bunnell, D.B., Tingley, R.W., Weidel, B., and Honsey, A.E., 2024, Synthesizing professional opinion of Lake Whitefish and Cisco recruitment drivers across the Great Lakes: The Laurentian, v. 2024, no. 1, p. 1-41, https://doi.org/10.70227/glfc-laur20240101.","productDescription":"41 p.","startPage":"1","endPage":"41","ipdsId":"IP-158943","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":498450,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.70227/glfc-laur20240101","text":"Publisher Index Page"},{"id":463191,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Great Lakes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.91552734375,\n 44.28453670601888\n ],\n [\n -76.4813232421875,\n 44.319918120477425\n ],\n [\n -77.113037109375,\n 44.01652134387754\n ],\n [\n -77.640380859375,\n 44.08758502824516\n ],\n [\n -79.2938232421875,\n 43.8503744993026\n ],\n [\n -79.9090576171875,\n 43.30119623257966\n ],\n [\n -79.2718505859375,\n 43.153101551466385\n ],\n [\n -78.6236572265625,\n 43.32517767999296\n ],\n [\n -77.431640625,\n 43.213183300738876\n ],\n [\n -76.871337890625,\n 43.22519255488632\n ],\n [\n -76.102294921875,\n 43.56845179881218\n ],\n [\n -75.91552734375,\n 44.28453670601888\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.870849609375,\n 42.75104599038353\n ],\n [\n -78.8763427734375,\n 42.896088552971065\n ],\n [\n -79.5025634765625,\n 42.88803956056295\n ],\n [\n -80.2386474609375,\n 42.79540065303723\n ],\n [\n -80.5517578125,\n 42.61374895431491\n ],\n [\n -81.2933349609375,\n 42.69051116998238\n ],\n [\n -82.1722412109375,\n 42.24071874922666\n ],\n [\n -82.55126953124999,\n 42.05745022024682\n ],\n [\n -82.803955078125,\n 42.05337156043361\n ],\n [\n -82.99621582031249,\n 42.049292638686836\n ],\n [\n -83.1060791015625,\n 42.13082130188811\n ],\n [\n -83.22143554687499,\n 42.14304156290942\n ],\n [\n -83.5345458984375,\n 41.693424216151314\n ],\n [\n -83.353271484375,\n 41.623655390686395\n ],\n [\n -83.111572265625,\n 41.566141964768384\n ],\n [\n -83.0401611328125,\n 41.43860847395721\n ],\n [\n -82.913818359375,\n 41.376808565702355\n ],\n [\n -82.79296874999999,\n 41.430371882652814\n ],\n [\n -82.44140625,\n 41.36444153054222\n ],\n [\n -81.9964599609375,\n 41.47977575214487\n ],\n [\n -81.650390625,\n 41.47566020027821\n ],\n [\n -81.1669921875,\n 41.734429390721\n ],\n [\n -79.73876953125,\n 42.20817645934742\n ],\n [\n -78.9312744140625,\n 42.63799988907408\n ],\n [\n -78.870849609375,\n 42.75104599038353\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.45263671875,\n 45.182036837015886\n ],\n [\n -80.870361328125,\n 44.5435052132082\n ],\n [\n -80.760498046875,\n 44.66083904265621\n ],\n [\n -80.1123046875,\n 44.402391829093915\n ],\n [\n -79.94750976562499,\n 44.41024041296011\n ],\n [\n -79.903564453125,\n 44.77013681219717\n ],\n [\n -79.69482421875,\n 44.69989765840318\n ],\n [\n -79.716796875,\n 44.91813929958515\n ],\n [\n -80.67260742187499,\n 45.96642454131025\n ],\n [\n -81.8701171875,\n 46.17983040759436\n ],\n [\n -84.00146484374999,\n 46.38483322349276\n ],\n [\n -84.26513671875,\n 46.27863122156088\n ],\n [\n -84.100341796875,\n 46.03510927947334\n ],\n [\n -84.803466796875,\n 46.09609080214316\n ],\n [\n -84.715576171875,\n 45.729191061299915\n ],\n [\n -84.26513671875,\n 45.61403741135093\n ],\n [\n -83.682861328125,\n 45.31352900692258\n ],\n [\n -83.441162109375,\n 45.1742925240767\n ],\n [\n -83.46313476562499,\n 45.01141864227728\n ],\n [\n -83.309326171875,\n 44.80132682904856\n ],\n [\n -83.441162109375,\n 44.32384807250689\n ],\n [\n -83.583984375,\n 44.29240108529005\n ],\n [\n -83.671875,\n 44.04811573082351\n ],\n [\n -83.880615234375,\n 44.000717834282774\n ],\n [\n -84.00146484374999,\n 43.77902662160831\n ],\n [\n -83.95751953125,\n 43.6599240747891\n ],\n [\n -83.660888671875,\n 43.56447158721811\n ],\n [\n -83.22143554687499,\n 43.94537239244209\n ],\n [\n -82.913818359375,\n 44.02442151965934\n ],\n [\n -82.781982421875,\n 43.96119063892024\n ],\n [\n -82.540283203125,\n 43.11702412135048\n ],\n [\n -82.408447265625,\n 42.97250158602597\n ],\n [\n -81.9140625,\n 43.13306116240612\n ],\n [\n -81.67236328125,\n 43.46886761482925\n ],\n [\n -81.727294921875,\n 44.040218713142146\n ],\n [\n -81.595458984375,\n 44.268804788566165\n ],\n [\n -81.221923828125,\n 44.62175409623324\n ],\n [\n -81.45263671875,\n 45.182036837015886\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.20947265625,\n 41.623655390686395\n ],\n [\n -86.220703125,\n 42.21224516288584\n ],\n [\n -86.15478515625,\n 42.956422511073335\n ],\n [\n -86.46240234375,\n 43.691707903073805\n ],\n [\n -85.97900390625,\n 44.84029065139799\n ],\n [\n -85.62744140625,\n 45.02695045318546\n ],\n [\n -85.517578125,\n 44.69989765840318\n ],\n [\n -85.0341796875,\n 44.98034238084973\n ],\n [\n -85.25390625,\n 45.259422036351694\n ],\n [\n -84.83642578125,\n 45.42929873257377\n ],\n [\n -85.10009765625,\n 45.55252525134013\n ],\n [\n -84.79248046875,\n 45.79816953017265\n ],\n [\n -84.7705078125,\n 46.01222384063236\n ],\n [\n -85.49560546875,\n 46.14939437647686\n ],\n [\n -86.24267578125,\n 45.99696161820381\n ],\n [\n -86.50634765625,\n 45.81348649679973\n ],\n [\n -86.59423828125,\n 45.920587344733654\n ],\n [\n -86.85791015625,\n 45.81348649679973\n ],\n [\n -87.0556640625,\n 45.84410779560204\n ],\n [\n -87.29736328125,\n 45.61403741135093\n ],\n [\n -88.08837890625,\n 44.653024159812\n ],\n [\n -87.978515625,\n 44.465151013519616\n ],\n [\n -87.5830078125,\n 44.715513732021336\n ],\n [\n -87.12158203125,\n 45.1510532655634\n ],\n [\n -87.5390625,\n 44.5278427984555\n ],\n [\n -87.78076171875,\n 43.8186748554532\n ],\n [\n -88.00048828124999,\n 42.924251753870685\n ],\n [\n -87.82470703125,\n 42.00032514831621\n ],\n [\n -87.20947265625,\n 41.623655390686395\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.22119140625,\n 46.5739667965278\n ],\n [\n -84.39697265625,\n 46.694667307773116\n ],\n [\n -84.287109375,\n 46.9052455464292\n ],\n [\n -84.70458984375,\n 47.025206001585396\n ],\n [\n -84.52880859375,\n 47.27922900257082\n ],\n [\n -84.88037109375,\n 47.62097541515849\n ],\n [\n -84.79248046875,\n 48.004625021133904\n ],\n [\n -85.8251953125,\n 48.019324184801185\n ],\n [\n -86.5283203125,\n 48.80686346108517\n ],\n [\n -88.154296875,\n 49.03786794532644\n ],\n [\n -88.5498046875,\n 48.879167148960214\n ],\n [\n -88.79150390625,\n 48.531157010976706\n ],\n [\n -89.20898437499999,\n 48.61838518688487\n ],\n [\n -89.4287109375,\n 48.16608541901253\n ],\n [\n -90.59326171875,\n 47.76886840424207\n ],\n [\n -92.21923828124999,\n 46.73986059969267\n ],\n [\n -91.845703125,\n 46.604167162931844\n ],\n [\n -90.9228515625,\n 46.89023157359399\n ],\n [\n -91.0546875,\n 46.5739667965278\n ],\n [\n -90.72509765625,\n 46.558860303117164\n ],\n [\n -90.3076171875,\n 46.51351558059737\n ],\n [\n -89.80224609374999,\n 46.70973594407157\n ],\n [\n -89.18701171875,\n 46.830133640447386\n ],\n [\n -88.65966796875,\n 47.12995075666307\n ],\n [\n -87.91259765625,\n 47.41322033016902\n ],\n [\n -88.2861328125,\n 47.204642388766935\n ],\n [\n -88.52783203125,\n 46.89023157359399\n ],\n [\n -88.4619140625,\n 46.70973594407157\n ],\n [\n -88.13232421875,\n 46.81509864599243\n ],\n [\n -87.69287109375,\n 46.649436163350245\n ],\n [\n -87.34130859375,\n 46.42271253466717\n ],\n [\n -87.0556640625,\n 46.49839225859763\n ],\n [\n -86.81396484375,\n 46.37725420510028\n ],\n [\n -86.59423828125,\n 46.37725420510028\n ],\n [\n -86.17675781249999,\n 46.58906908309182\n ],\n [\n -85.6494140625,\n 46.604167162931844\n ],\n [\n -85.166015625,\n 46.7549166192819\n ],\n [\n -85.10009765625,\n 46.46813299215554\n ],\n [\n -84.79248046875,\n 46.37725420510028\n ],\n [\n -84.22119140625,\n 46.5739667965278\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"2024","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-10-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Brown, Taylor A. 0000-0003-0984-5512","orcid":"https://orcid.org/0000-0003-0984-5512","contributorId":305949,"corporation":false,"usgs":false,"family":"Brown","given":"Taylor","email":"","middleInitial":"A.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":916690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rudstam, Lars G. 0000-0002-3732-6368","orcid":"https://orcid.org/0000-0002-3732-6368","contributorId":213508,"corporation":false,"usgs":false,"family":"Rudstam","given":"Lars","email":"","middleInitial":"G.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":916691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sethi, Suresh A. 0000-0002-0053-1827","orcid":"https://orcid.org/0000-0002-0053-1827","contributorId":296987,"corporation":false,"usgs":false,"family":"Sethi","given":"Suresh","email":"","middleInitial":"A.","affiliations":[{"id":64271,"text":"U.S. Geological Survey, New York Cooperative Fish and Wildlife Research Unit, Ithaca, New York 14853","active":true,"usgs":false}],"preferred":false,"id":916692,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hessell, Chris","contributorId":345462,"corporation":false,"usgs":false,"family":"Hessell","given":"Chris","affiliations":[{"id":34297,"text":"Grand Traverse Band of Ottawa and Chippewa Indians","active":true,"usgs":false}],"preferred":false,"id":916693,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olsen, Erik","contributorId":195545,"corporation":false,"usgs":false,"family":"Olsen","given":"Erik","email":"","affiliations":[{"id":34297,"text":"Grand Traverse Band of Ottawa and Chippewa Indians","active":true,"usgs":false}],"preferred":false,"id":916694,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jonas, Jory L.","contributorId":215449,"corporation":false,"usgs":false,"family":"Jonas","given":"Jory","email":"","middleInitial":"L.","affiliations":[{"id":6983,"text":"Michigan DNR","active":true,"usgs":false}],"preferred":false,"id":916695,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rook, Benjamin J. 0000-0002-0331-9397","orcid":"https://orcid.org/0000-0002-0331-9397","contributorId":271207,"corporation":false,"usgs":false,"family":"Rook","given":"Benjamin","email":"","middleInitial":"J.","affiliations":[{"id":54519,"text":"U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":916696,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pothoven, Steven A.","contributorId":92998,"corporation":false,"usgs":false,"family":"Pothoven","given":"Steven","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":916697,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Beech, Sarah J.H.","contributorId":345463,"corporation":false,"usgs":false,"family":"Beech","given":"Sarah","email":"","middleInitial":"J.H.","affiliations":[{"id":16762,"text":"Ontario Ministry of Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":916698,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Dunlop, Erin S.","contributorId":146961,"corporation":false,"usgs":false,"family":"Dunlop","given":"Erin","email":"","middleInitial":"S.","affiliations":[{"id":16762,"text":"Ontario Ministry of Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":916699,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"James, Stephen","contributorId":345464,"corporation":false,"usgs":false,"family":"James","given":"Stephen","email":"","affiliations":[{"id":16762,"text":"Ontario Ministry of Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":916700,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Smith, Jason B.","contributorId":331222,"corporation":false,"usgs":false,"family":"Smith","given":"Jason","email":"","middleInitial":"B.","affiliations":[{"id":79162,"text":"Sault Ste. Marie Tribe of Chippewa Indians","active":true,"usgs":false}],"preferred":false,"id":916701,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Amidon, Zach 0000-0002-6407-2009","orcid":"https://orcid.org/0000-0002-6407-2009","contributorId":270387,"corporation":false,"usgs":false,"family":"Amidon","given":"Zach","email":"","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":916702,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Carl, Dray D.","contributorId":345465,"corporation":false,"usgs":false,"family":"Carl","given":"Dray","email":"","middleInitial":"D.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":916703,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Bunnell, David B. 0000-0003-3521-7747","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":216540,"corporation":false,"usgs":true,"family":"Bunnell","given":"David","middleInitial":"B.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":916704,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Tingley, Ralph W. III 0000-0002-1689-2133","orcid":"https://orcid.org/0000-0002-1689-2133","contributorId":189812,"corporation":false,"usgs":true,"family":"Tingley","given":"Ralph","suffix":"III","email":"","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":916705,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":916706,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Honsey, Andrew Edgar 0000-0001-7535-1321","orcid":"https://orcid.org/0000-0001-7535-1321","contributorId":295468,"corporation":false,"usgs":true,"family":"Honsey","given":"Andrew","email":"","middleInitial":"Edgar","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":916707,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70257603,"text":"70257603 - 2024 - Joint pilot fish habitat framework","interactions":[],"lastModifiedDate":"2024-08-20T15:11:01.81526","indexId":"70257603","displayToPublicDate":"2024-08-01T10:04:45","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":18345,"text":"NOAA Story Map","active":true,"publicationSubtype":{"id":1}},"title":"Joint pilot fish habitat framework","docAbstract":"

This story map will take you through the process of exploring and testing methods necessary for a higher resolution, seamless fish habitat assessment across both inland and estuarine waters through the lens of our joint pilot assessment

Fish habitat assessments attempt to relate past, current, or future landscape conditions to the state of fish species occurrence, distribution, abundance, or community and habitat condition in streams, rivers, or estuaries. Previous fish habitat assessments, such as the National Fish Habitat Assessment, conducted separate and disconnected assessments for inland waters and estuaries. In this project, National Oceanic and Atmospheric Administration ( NOAA ) and U.S. Geological Survey ( USGS ) researchers created a seamless spatial framework to allow assessments that integrate influences on fish habitat from headwaters to the estuary. This effort began when the Chesapeake Bay Program Fish Habitat Action Team expressed interest in a Baywide fish habitat assessment spanning tidal salt, tidal fresh, warm non-tidal, and cold non-tidal waters. However, the complexity of the myriad of implementation details to consider when developing such an assessment necessitated the need for a tributary-specific pilot assessment. To conduct this pilot assessment, a NOAA/USGS joint partnership was formed with cooperation and support from the Chesapeake Bay Agreement and Chesapeake Bay Fish Habitat Action Team (FHAT).

","language":"English","publisher":"NOAA","usgsCitation":"Nisonson, H., Kiser, A.H., Gressler, B.P., Leight, A., and Young, J.A., 2024, Joint pilot fish habitat framework: NOAA Story Map, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-169467","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":432940,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":432939,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://storymaps.arcgis.com/stories/0902bfe6a2ed408488a13bf4227c9ab8","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Maryland","otherGeospatial":"Patuxent River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.39361321933961,\n 38.27947195524095\n ],\n [\n -76.42031861435605,\n 38.39258760740202\n ],\n [\n -76.56719828694345,\n 38.639151180749025\n ],\n [\n -76.62595015597843,\n 38.94097411844302\n ],\n [\n -76.73811281504507,\n 39.133883869081444\n ],\n [\n -77.05857755523637,\n 39.35518173602037\n ],\n [\n -77.34165564025463,\n 39.53048056579706\n ],\n [\n -77.59802743240763,\n 39.54489731844012\n ],\n [\n -77.51524070785847,\n 39.38202023535723\n ],\n [\n -77.30159754773115,\n 39.20634728019897\n ],\n [\n -77.05323737408307,\n 39.102804445263814\n ],\n [\n -76.83959421395518,\n 38.932661799568905\n ],\n [\n -76.79152533431636,\n 38.59741877946476\n ],\n [\n -76.6206108062147,\n 38.32976596030326\n ],\n [\n -76.47640167312836,\n 38.25430974627827\n ],\n [\n -76.39361321933961,\n 38.27947195524095\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nisonson, Hannah","contributorId":343420,"corporation":false,"usgs":false,"family":"Nisonson","given":"Hannah","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":911013,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kiser, Alexander H. 0000-0002-2871-0640","orcid":"https://orcid.org/0000-0002-2871-0640","contributorId":342012,"corporation":false,"usgs":true,"family":"Kiser","given":"Alexander","middleInitial":"H.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":911014,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gressler, Benjamin P. 0000-0001-6639-8558","orcid":"https://orcid.org/0000-0001-6639-8558","contributorId":270167,"corporation":false,"usgs":true,"family":"Gressler","given":"Benjamin","middleInitial":"P.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":911015,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leight, A.K.","contributorId":343421,"corporation":false,"usgs":false,"family":"Leight","given":"A.K.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":911016,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Young, John A. 0000-0002-4500-3673 jyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-3673","contributorId":3777,"corporation":false,"usgs":true,"family":"Young","given":"John","email":"jyoung@usgs.gov","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":911017,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70257637,"text":"70257637 - 2024 - Incorporating climate data into emergency planning and exercises: A primer for emergency management practioners and data developers","interactions":[],"lastModifiedDate":"2024-08-21T14:39:36.800563","indexId":"70257637","displayToPublicDate":"2024-08-01T09:33:38","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Incorporating climate data into emergency planning and exercises: A primer for emergency management practioners and data developers","docAbstract":"

Climate change has and will continue to sharpen climate-related risks to communities and natural resources in California and elsewhere, as the probabilities of more extreme weather, floods, and fires continue to increase. This poses a problem of novel situations for emergency management. Progress has been made in terms of formally incorporating climate projections, data, and research on expected changes in climate-driven hazards into long-term hazard mitigation and climate adaptation strategies at both state and national levels. However, there are fewer examples of how climate change considerations have, or could be, incorporated into shorter-term emergency preparedness and response strategies. This is an important gap to fill, as climate resilience depends not only on mitigation and prevention measures, but also on the ability of agencies to coordinate and effectively minimize impacts when prevention measures fall short.

The goal of this primer is to provide guidance on how to incorporate the best available information on climate variability and change into emergency management planning, with a focus on the development and use of extreme weather event scenarios for use in exercises. The first section is aimed toward a broad audience, including emergency management practitioners who use extreme weather event scenarios. It provides an overview of available data and tools that can inform scenario design as well as techniques for scenario design based on the hazard of interest, the audience and application, and the technical skills and resources required to develop, summarize, and/or visualize the data. This section concludes with an overview of approaches and lessons learned related to extreme event response planning and exercise design. Overall, this section highlights the advantages of developing quantitative scenarios based on spatial data, which allows visualizations and interactive data explorations that can provide greater specificity in discussions related to preparedness and response strategies. It further highlights the advantages of developing a core expert working group to guide planning, holding pre-exercise workshops to engage diverse communities outside of the emergency management sector, and engaging decisionmakers post-exercise to communicate key issues and outcomes as well as potential approaches for mitigating consequences that were identified by participants.

The second section is aimed toward the scientific community and data developers involved in the creation of extreme weather event scenarios. This section provides technical guidance and detailed descriptions of four types of data resources and five analytical approaches that can be used to create extreme weather event scenarios based on the design considerations highlighted in section one. The computational resources and expertise required varies substantially across the options presented and is a primary consideration. These requirements, in addition to considerations related to audience and application, may determine the novelty and detail of the event, the detail of weather forecast information that can be provided, and the spatial extent across which the event can reasonably be modeled. The importance of, and approaches for, delivering information in a form that is accessible to emergency management practitioners is also discussed.

","language":"English","publisher":"Desert Research Institute","usgsCitation":"Albano, C.M., McCarthy, M.I., Mcafee, S.A., Wein, A., and Dettinger, M., 2024, Incorporating climate data into emergency planning and exercises: A primer for emergency management practioners and data developers, x, 32 p.","productDescription":"x, 32 p.","ipdsId":"IP-164123","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":433003,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":433002,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.dri.edu/project/arkstormsierrafront-2-0/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Albano, Christine M.","contributorId":169455,"corporation":false,"usgs":false,"family":"Albano","given":"Christine","email":"","middleInitial":"M.","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":911158,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCarthy, Maureen I.","contributorId":343457,"corporation":false,"usgs":false,"family":"McCarthy","given":"Maureen","email":"","middleInitial":"I.","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":911159,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McAfee, Stephanie Anne 0000-0002-9313-5857","orcid":"https://orcid.org/0000-0002-9313-5857","contributorId":343458,"corporation":false,"usgs":true,"family":"McAfee","given":"Stephanie","middleInitial":"Anne","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":911160,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wein, Anne 0000-0002-5516-3697 awein@usgs.gov","orcid":"https://orcid.org/0000-0002-5516-3697","contributorId":589,"corporation":false,"usgs":true,"family":"Wein","given":"Anne","email":"awein@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":911161,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dettinger, Michael D.","contributorId":343459,"corporation":false,"usgs":false,"family":"Dettinger","given":"Michael D.","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":911162,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70257692,"text":"70257692 - 2024 - Lake water storage","interactions":[],"lastModifiedDate":"2024-08-23T14:43:12.486972","indexId":"70257692","displayToPublicDate":"2024-08-01T09:25:26","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1112,"text":"Bulletin of the American Meteorological Society","onlineIssn":"1520-0477","printIssn":"0003-0007","active":true,"publicationSubtype":{"id":10}},"chapter":"2.d.8","title":"Lake water storage","docAbstract":"

No abstract available.

","language":"English","publisher":"American Meteorological Society","doi":"10.1175/2024BAMSStateoftheClimate.1","usgsCitation":"Harlan, M.E., Kraemer, B.M., King, T.V., La Fuente, S., and Meyer, M.F., 2024, Lake water storage: Bulletin of the American Meteorological Society, v. 105, no. 8 Special Supplement, p. S66-S67, https://doi.org/10.1175/2024BAMSStateoftheClimate.1.","productDescription":"2 p.","startPage":"S66","endPage":"S67","ipdsId":"IP-162826","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":466972,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research-information.bris.ac.uk/en/publications/c362ab75-6dc1-4ab9-816f-c17a9e899aa8","text":"External Repository"},{"id":433097,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"105","issue":"8 Special Supplement","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Harlan, Merritt Elizabeth 0000-0002-4019-4888","orcid":"https://orcid.org/0000-0002-4019-4888","contributorId":302672,"corporation":false,"usgs":true,"family":"Harlan","given":"Merritt","email":"","middleInitial":"Elizabeth","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":911445,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kraemer, Benjamin M.","contributorId":166829,"corporation":false,"usgs":false,"family":"Kraemer","given":"Benjamin","email":"","middleInitial":"M.","affiliations":[{"id":24540,"text":"Center for Limnology, University of Wisconsin, Madison, Wisconsin, 53706, USA.","active":true,"usgs":false}],"preferred":false,"id":911446,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"King, Tyler V. 0000-0002-5785-3077","orcid":"https://orcid.org/0000-0002-5785-3077","contributorId":292424,"corporation":false,"usgs":true,"family":"King","given":"Tyler","middleInitial":"V.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":911447,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"La Fuente, Sofia 0000-0002-9665-672X","orcid":"https://orcid.org/0000-0002-9665-672X","contributorId":329486,"corporation":false,"usgs":false,"family":"La Fuente","given":"Sofia","email":"","affiliations":[{"id":78609,"text":"Dundalk Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":911448,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meyer, Michael Frederick 0000-0002-8034-9434 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8034-9434","contributorId":304191,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"Frederick","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":911449,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70257588,"text":"70257588 - 2024 - Diminishing productivity and hyperstable harvest in northern Wisconsin walleye fisheries","interactions":[],"lastModifiedDate":"2024-12-11T15:56:41.280711","indexId":"70257588","displayToPublicDate":"2024-08-01T09:22:53","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":"Diminishing productivity and hyperstable harvest in northern Wisconsin walleye fisheries","docAbstract":"

Managing fisheries in a changing socio-ecological environment may require holistic approaches for identifying and adapting to novel ecosystem dynamics. Using 32 years of Ceded Territory of Wisconsin (CTWI) walleye (Sander vitreus) data, we estimated production (P), biomass (B), biomass turnover (P/B), yield (Y), and yield over production (Y/P) and tested for hyperstability in walleye yield. Most CTWI walleye populations showed low P, and B, and Y/P < 1. Yet, production overharvest (Y/P > 1) was prevalent among Wisconsin walleye recruitment-based management approaches (natural recruitment [NR], sustained only by stocking, combination). Production, B, and P/B have declined in NR populations, while Y and Y/P have remained constant. Walleye Y was hyperstable along a production gradient among all management approaches and fishery types (i.e., angling only, angling/tribal harvest combined). Diminishing productivity and hyperstable yield may be jointly contributing to observed walleye declines. We classified lakes into management groups of low, moderate, or high vulnerability to harvest based on Y/P and P/B dynamics and recommend that exploitation may need to decline to maintain or increase the adaptive capacity of CTWI walleye.

","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2023-0372","usgsCitation":"Mrnak, J.T., Embke, H.S., Wilkinson, M.V., Shaw, S.L., Vander Zanden, M.J., and Sass, G., 2024, Diminishing productivity and hyperstable harvest in northern Wisconsin walleye fisheries: Canadian Journal of Fisheries and Aquatic Sciences, v. 81, no. 12, p. 1650-1665, https://doi.org/10.1139/cjfas-2023-0372.","productDescription":"16 p.","startPage":"1650","endPage":"1665","ipdsId":"IP-160358","costCenters":[{"id":65882,"text":"Midwest Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":489877,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjfas-2023-0372","text":"Publisher Index Page"},{"id":432934,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.18049419077052,\n 45.948938075630764\n ],\n [\n -88.62936625659313,\n 45.99443402697818\n ],\n [\n -90.13495797737319,\n 46.33769085403185\n ],\n [\n -90.45290902399807,\n 46.58248141670697\n ],\n [\n -90.71475106239458,\n 46.659555080264994\n ],\n [\n -90.27523049794291,\n 47.05602167993885\n ],\n [\n -90.41550301851264,\n 47.11969380652522\n ],\n [\n -91.04205361039043,\n 46.96037076403644\n ],\n [\n -91.63119819678276,\n 46.73651903458966\n ],\n [\n -91.94914924340715,\n 46.68522192077327\n ],\n [\n -92.0800702626054,\n 46.755742883136094\n ],\n [\n -92.20163978043216,\n 46.69805077000643\n ],\n [\n -92.27645179140251,\n 46.68522192077327\n ],\n [\n -92.29515479414547,\n 46.0917995100892\n ],\n [\n -92.71597235585415,\n 45.89038836410472\n ],\n [\n -92.86559637779489,\n 45.668642940969534\n ],\n [\n -92.87494787916634,\n 45.58362485690526\n ],\n [\n -92.70662085448265,\n 45.524690647636874\n ],\n [\n -92.65051184625477,\n 45.43945434374024\n ],\n [\n -92.77208136408203,\n 45.17637992800505\n ],\n [\n -90.04144296366039,\n 44.48667212247656\n ],\n [\n -88.06827617431473,\n 45.3869371369814\n ],\n [\n -88.18049419077052,\n 45.948938075630764\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"81","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mrnak, Joseph T.","contributorId":275764,"corporation":false,"usgs":false,"family":"Mrnak","given":"Joseph","email":"","middleInitial":"T.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":910969,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Embke, Holly Susan 0000-0002-9897-7068","orcid":"https://orcid.org/0000-0002-9897-7068","contributorId":270754,"corporation":false,"usgs":true,"family":"Embke","given":"Holly","email":"","middleInitial":"Susan","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":910970,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilkinson, Max V.","contributorId":343401,"corporation":false,"usgs":false,"family":"Wilkinson","given":"Max","email":"","middleInitial":"V.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":910971,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shaw, Steph L.","contributorId":343404,"corporation":false,"usgs":false,"family":"Shaw","given":"Steph","email":"","middleInitial":"L.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":910972,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vander Zanden, M. Jake","contributorId":265448,"corporation":false,"usgs":false,"family":"Vander Zanden","given":"M.","email":"","middleInitial":"Jake","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":910973,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sass, Greg G.","contributorId":244466,"corporation":false,"usgs":false,"family":"Sass","given":"Greg G.","affiliations":[{"id":16117,"text":"Wisconsin DNR","active":true,"usgs":false}],"preferred":false,"id":910974,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}