Despite growing support for ecosystem-based approaches, conservation is mostly implemented at the species level. However, genetic differentiation exists within this taxonomic level, putting genetically distinct populations at risk of local extinction. In the diablotin black-capped petrel Pterodroma hasitata, an endangered gadfly petrel endemic to the Caribbean, 2 phenotypes have been described: a smaller dark form and a heavier light form, which are genetically distinct. To assess possible differences in the marine distributions of phenotypes, in May 2019, we captured 5 adult black-capped petrels of each phenotype at sea in the western North Atlantic and equipped them with satellite transmitters. We used generalized linear mixed models to test the importance of phenotype on geographic distribution. Using kernel density estimations, we located use areas, quantified spatial overlap between forms, and assessed form-specific exposure to marine threats. Petrels were tracked for 11 to 255 d (mean ± SD: 102.1 ± 74.2 d). During the non-breeding period, all individuals ranged from 28.4 to 43.0° latitude. Phenotypes had significantly distinct non-breeding distributions, independent of time of year. The dark form used waters of the Carolinian marine ecoregion, and the light form used pelagic waters of the Virginian ecoregion, to the north. The dark form was more exposed to marine threats than the light form, in particular to mercury, microplastics, and marine traffic. The light form overlapped with proposed wind energy areas off the central US coast. These differences in exposure suggest possible differences in vulnerability, which can have repercussions on the viability of this imperiled species.
","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.1101/2022.06.02.491532","usgsCitation":"Satgé, Y., Keitt, B., Gaskin, C., Patteson, J., and Jodice, P.G., 2024, Spatial segregation between phenotypes of the diablotin black-capped petrel Pterodroma hasitata during the non-breeding period: Endangered Species Research, v. 51, p. 183-201, https://doi.org/10.1101/2022.06.02.491532.","productDescription":"19 p.","startPage":"183","endPage":"201","ipdsId":"IP-140054","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":467058,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1101/2022.06.02.491532","text":"External Repository"},{"id":465532,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Atlantic Ocean, Cape Hatteras, Gulf Stream","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.8923537451853,\n 35.443875566777706\n ],\n [\n -75.8923537451853,\n 30.989743965000244\n ],\n [\n -71.14475202578238,\n 30.989743965000244\n ],\n [\n -71.14475202578238,\n 35.443875566777706\n ],\n [\n -75.8923537451853,\n 35.443875566777706\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"51","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Satgé, Yvan G.","contributorId":341479,"corporation":false,"usgs":false,"family":"Satgé","given":"Yvan G.","affiliations":[{"id":81653,"text":"South Carolina Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":908484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keitt, Brad","contributorId":341480,"corporation":false,"usgs":false,"family":"Keitt","given":"Brad","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":908485,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gaskin, Chris","contributorId":341481,"corporation":false,"usgs":false,"family":"Gaskin","given":"Chris","affiliations":[{"id":81744,"text":"Northern New Zealand Seabird Trust","active":true,"usgs":false}],"preferred":false,"id":908486,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Patteson, J. Brian","contributorId":347588,"corporation":false,"usgs":false,"family":"Patteson","given":"J. Brian","affiliations":[],"preferred":false,"id":922023,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":219852,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908487,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70246681,"text":"70246681 - 2024 - Presence of hummock and hollow microtopography reflects shifting balances of shallow subsidence and root zone expansion along forested wetland river gradients","interactions":[],"lastModifiedDate":"2024-08-26T13:59:43.191987","indexId":"70246681","displayToPublicDate":"2023-07-04T06:36:11","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":"Presence of hummock and hollow microtopography reflects shifting balances of shallow subsidence and root zone expansion along forested wetland river gradients","docAbstract":"Tidal freshwater forested wetlands (TFFWs) are in an active phase of transition to tidal marsh with sea level rise and salinity incursion along the Atlantic and Gulf Coasts of the United States (U.S.). A prominent feature of TFFWs is hummock/hollow microtopography where hollows represent the flat, base-elevation of the floodplain where inundation occurs relatively frequently, while hummocks provide elevated soil surfaces that often harbor relatively greater numbers and species of trees and shrubs. Hummocks appear at the landscape river boundary just seaward of bottomland hardwoods as tides reach those positions, persist for many years, and disappear as TFFWs eventually transition to marsh. We studied TFFW surface elevation processes along four Atlantic coastal landscape river gradients by using surface elevation tables and marker horizons. Shallow subsidence between trees, equating to as much as 5.5 mm/year, was an important process in hollow maintenance as roots held hummock elevations relatively more stable. However, hummocks were actively subsiding on all sites with little sign of root zone expansion within hummocks, despite hummock elevation gain on some sites. For down-river transitions, hollow infilling through increasing sediment accretion and root zone expansion were predominant processes driving loss of microtopography as marshes replaced TFFWs closer to the estuarine interface; hollows gained elevations to meet hummocks. While these results do not preclude the importance of healthy root zone processes to the maintenance (and formation) of hummocks, our results indicate that reductions in critical sediment supplies to offset natural shallow subsidence explain persistence and eventual loss of hummock and hollow microtopography in TFFWs.
Context: Sea turtle hatchlings generally emerge at night from nests on sand beaches and immediately orient using visual cues, which are believed to entail the difference in brightness between the light seen in the seaward direction and that seen in the duneward direction.
Aim: The aim of this study was to understand how dune proximity affected hatchling orientations in two sea turtle species that share a nesting beach 15 km long and 25.3 ± 9.4 m (N = 215) from dune to waterline, with low to moderate artificial light nearby.
Methods: For hatchling loggerhead and green turtles, we measured accuracy and precision of orientation, tested differences in distance from nest to dune, and investigated the effect of dune proximity on hatchling orientation.
Key results: We found a significant decrease in hatchling orientation accuracy and precision in both species as the distance increased from nests to dune. Loggerhead and green turtles showed similar orientation ability when in the same proximity to the dune.
Conclusions: We conclude that dune features provide important cues for hatchling orientation on sea turtle nesting beaches.
Implications: Restoring and maintaining natural beach profiles, especially dune systems, is likely to increase the accuracy and precision of sea finding in hatchling sea turtles.
","language":"English","publisher":"CSIRO","doi":"10.1071/MF23052","usgsCitation":"Hirama, S., Witherington, B., Sylvia, A., and Carthy, R., 2024, Accuracy and precision of sea-finding orientation as a function of dune proximity in hatchlings of two species of sea turtles: Marine and Freshwater Research, v. 74, no. 11, p. 994-1001, https://doi.org/10.1071/MF23052.","productDescription":"8 p.","startPage":"994","endPage":"1001","ipdsId":"IP-146660","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":441263,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1071/mf23052","text":"Publisher Index Page"},{"id":432601,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","county":"Palm Beach County","otherGeospatial":"Juno Beach","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.08267111365518,\n 26.969659914048705\n ],\n [\n -80.08,\n 26.97\n ],\n [\n -80.041,\n 26.858556495771765\n ],\n [\n -80.04786857797046,\n 26.858073293512533\n ],\n [\n -80.08267111365518,\n 26.969659914048705\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"74","issue":"11","noUsgsAuthors":false,"publicationDate":"2023-06-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Hirama, Shigetomo","contributorId":340649,"corporation":false,"usgs":false,"family":"Hirama","given":"Shigetomo","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":907425,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Witherington, Blair","contributorId":340650,"corporation":false,"usgs":false,"family":"Witherington","given":"Blair","affiliations":[{"id":61821,"text":"Inwater Research Group, Inc","active":true,"usgs":false}],"preferred":false,"id":907426,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sylvia, Andrea","contributorId":340652,"corporation":false,"usgs":false,"family":"Sylvia","given":"Andrea","email":"","affiliations":[{"id":81641,"text":"Loggerhead Marinelife Cente","active":true,"usgs":false}],"preferred":false,"id":907427,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":907428,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70268870,"text":"70268870 - 2024 - Estimating groundwater pumping for irrigation: A method comparison","interactions":[],"lastModifiedDate":"2025-07-10T16:27:16.465704","indexId":"70268870","displayToPublicDate":"2023-06-22T09:41:30","publicationYear":"2024","noYear":false,"publicationType":{"id":26,"text":"Extramural-Authored Publication Paper"},"publicationSubtype":{"id":31,"text":"Extramural-Authored Publication"},"seriesTitle":{"id":21990,"text":"Groundwater","active":true,"publicationSubtype":{"id":31}},"title":"Estimating groundwater pumping for irrigation: A method comparison","docAbstract":"Effective groundwater management is critical to future environmental, ecological, and social sustainability and requires accurate estimates of groundwater withdrawals. Unfortunately, these estimates are not readily available in most areas due to physical, regulatory, and social challenges. Here, we compare four different approaches for estimating groundwater withdrawals for agricultural irrigation. We apply these methods in a groundwater-irrigated region in the state of Kansas, USA, where high-quality groundwater withdrawal data are available for evaluation. The four methods represent a broad spectrum of approaches: (1) the hydrologically-based Water Table Fluctuation method (WTFM); (2) the demand-based SALUS crop model; (3) estimates based on satellite-derived evapotranspiration (ET) data from OpenET; and (4) a landscape hydrology model which integrates hydrologic- and demand-based approaches. The applicability of each approach varies based on data availability, spatial and temporal resolution, and accuracy of predictions. In general, our results indicate that all approaches reasonably estimate groundwater withdrawals in our region, however, the type and amount of data required for accurate estimates and the computational requirements vary among approaches. For example, WTFM requires accurate groundwater levels, specific yield, and recharge data, whereas the SALUS crop model requires adequate information about crop type, land use, and weather. This variability highlights the difficulty in identifying what data, and how much, are necessary for a reasonable groundwater withdrawal estimate, and suggests that data availability should drive the choice of approach. Overall, our findings will help practitioners evaluate the strengths and weaknesses of different approaches and select the appropriate approach for their application.
","language":"English","publisher":"National Groundwater Association","doi":"10.1111/gwat.13336","usgsCitation":"Brookfield, A.E., Zipper, S., Kendall, A., Ajami, H., and Deines, J.M., 2024, Estimating groundwater pumping for irrigation: A method comparison: Groundwater, v. 62, no. 1, p. 15-33, https://doi.org/10.1111/gwat.13336.","productDescription":"19 p.","startPage":"15","endPage":"33","ipdsId":"IP-180562","costCenters":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":492078,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.13336","text":"Publisher Index Page"},{"id":491893,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","county":"Sheridan County, Thomas County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -100.9,\n 39.6\n ],\n [\n -100.9,\n 39.2\n ],\n [\n -100.3,\n 39.2\n ],\n [\n -100.3,\n 39.6\n ],\n [\n -100.9,\n 39.6\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"62","issue":"1","noUsgsAuthors":true,"publicationDate":"2023-07-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Brookfield, Andrea E.","contributorId":202677,"corporation":false,"usgs":false,"family":"Brookfield","given":"Andrea","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":942441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zipper, Samuel 0000-0002-8735-5757","orcid":"https://orcid.org/0000-0002-8735-5757","contributorId":225160,"corporation":false,"usgs":false,"family":"Zipper","given":"Samuel","email":"","affiliations":[{"id":41056,"text":"Kansas Geological Survey, University of Kansas, Lawrence KS 66047, USA","active":true,"usgs":false}],"preferred":false,"id":942442,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kendall, Anthony D.","contributorId":357745,"corporation":false,"usgs":false,"family":"Kendall","given":"Anthony D.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":942443,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ajami, Hoori 0000-0001-6883-7630","orcid":"https://orcid.org/0000-0001-6883-7630","contributorId":303806,"corporation":false,"usgs":false,"family":"Ajami","given":"Hoori","email":"","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":942444,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Deines, Jillian M. 0000-0002-4279-8765","orcid":"https://orcid.org/0000-0002-4279-8765","contributorId":303808,"corporation":false,"usgs":false,"family":"Deines","given":"Jillian","email":"","middleInitial":"M.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":942445,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70249427,"text":"70249427 - 2024 - Horizontal integrity a prerequisite for vertical stability: Comparison of elevation change and the unvegetated-vegetated marsh ratio across southeastern USA coastal wetlands","interactions":[],"lastModifiedDate":"2024-08-26T14:09:44.340893","indexId":"70249427","displayToPublicDate":"2023-06-05T10:47:49","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":"Horizontal integrity a prerequisite for vertical stability: Comparison of elevation change and the unvegetated-vegetated marsh ratio across southeastern USA coastal wetlands","docAbstract":"Surface elevation tables (SETs) estimate the vertical resilience of coastal wetlands to sea-level rise (SLR) and other stressors but are limited in their spatial coverage. Conversely, spatially integrative metrics based on remote sensing provide comprehensive spatial coverage of horizontal processes but cannot track elevation trajectory at high resolution. Here, we present a critical advance in reconciling vertical and horizontal dynamics by assessing the relationship between elevation change, relative tidal elevation (Z*), and the unvegetated-vegetated marsh ratio (UVVR) across coastal wetland complexes in the southeastern USA. We first used the UVVR to determine the representativeness of the SET site relative to varying spatial footprints across the complex and found that SET sites generally represent the tidal wetland areas in terms of vegetated cover. There is also overall coherence between positive vertical change and high vegetative cover, but we also identified sites with high vegetative cover and negative vertical change (relative to SLR). The only sites exceeding the pace of SLR have UVVR values below the previously established 0.15 threshold. Some sites are not keeping up with SLR despite having intact marsh plains; this may indicate a risk of submergence with undetectable marsh plain loss, or an imminent transition to future open-water conversion. Aggregation of Z* across the same footprint as the UVVR demonstrates consistent coherence between elevation and vegetative cover, with lower elevation sites having larger UVVR. These results indicate that the UVVR is a suitable initial screening tool: areas above the 0.15 threshold are both horizontally and vertically vulnerable. Furthermore, this comparison suggests that horizontal integrity is a prerequisite for vertical stability: a marsh can only maintain elevation if the plain is intact with minimal unvegetated area.
","language":"English","publisher":"Springer","doi":"10.1007/s12237-023-01221-x","usgsCitation":"Ganju, N., Defne, Z., Schwab, C., and Moorman, M., 2024, Horizontal integrity a prerequisite for vertical stability: Comparison of elevation change and the unvegetated-vegetated marsh ratio across southeastern USA coastal wetlands: Estuaries and Coasts, v. 47, p. 2135-2145, https://doi.org/10.1007/s12237-023-01221-x.","productDescription":"11 p.","startPage":"2135","endPage":"2145","ipdsId":"IP-146955","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":441266,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-023-01221-x","text":"Publisher Index Page"},{"id":421747,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Georgia, North Carolina, South Carolina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.25125896070267,\n 36.561945068580116\n ],\n [\n -76.02380950953135,\n 35.85610231204731\n ],\n [\n -76.87237092351731,\n 35.472307416600344\n ],\n [\n -77.30977371423174,\n 34.807017447668684\n ],\n [\n -78.60448597474675,\n 34.03488132374419\n ],\n [\n -79.20572109113924,\n 33.899623716064625\n ],\n [\n -79.89681750046842,\n 33.17044034398333\n ],\n [\n -81.32275059819784,\n 32.442523354709266\n ],\n [\n -81.83078771877616,\n 31.429497816682684\n ],\n [\n -81.95326050017648,\n 30.82292577040907\n ],\n [\n -81.34089659317598,\n 30.702651620741193\n ],\n [\n -81.05221075130422,\n 31.578670101399595\n ],\n [\n -80.72853268617548,\n 32.07665702846296\n ],\n [\n -79.98494794196105,\n 32.53507780319134\n ],\n [\n -79.43002522744152,\n 32.769985927906106\n ],\n [\n -79.053858827427,\n 33.158988052136635\n ],\n [\n -78.82640937625513,\n 33.575431218611556\n ],\n [\n -78.3540143622837,\n 33.78653914761162\n ],\n [\n -77.88161934831176,\n 33.764724445027724\n ],\n [\n -77.47046072504023,\n 34.351766243731035\n ],\n [\n -76.96307348781129,\n 34.60416508858249\n ],\n [\n -76.4206940273253,\n 34.60416508858249\n ],\n [\n -75.59837678078225,\n 35.63453239012692\n ],\n [\n -75.40591955286791,\n 35.63969801888565\n ],\n [\n -75.81707817613945,\n 36.56559863452645\n ],\n [\n -76.25125896070267,\n 36.561945068580116\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -84.5500701993531,\n 30.23189513202375\n ],\n [\n -84.5500701993531,\n 29.76216888566792\n ],\n [\n -83.57028794815218,\n 29.76216888566792\n ],\n [\n -83.57028794815218,\n 30.23189513202375\n ],\n [\n -84.5500701993531,\n 30.23189513202375\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"47","noUsgsAuthors":false,"publicationDate":"2023-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":202878,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":885578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Defne, Zafer 0000-0003-4544-4310 zdefne@usgs.gov","orcid":"https://orcid.org/0000-0003-4544-4310","contributorId":5520,"corporation":false,"usgs":true,"family":"Defne","given":"Zafer","email":"zdefne@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":885579,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwab, Caroline","contributorId":330681,"corporation":false,"usgs":false,"family":"Schwab","given":"Caroline","email":"","affiliations":[{"id":38178,"text":"City College of New York","active":true,"usgs":false}],"preferred":false,"id":885580,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moorman, Michelle","contributorId":330682,"corporation":false,"usgs":false,"family":"Moorman","given":"Michelle","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":885581,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70244184,"text":"70244184 - 2024 - Toxicological effects assessment for wildlife in the 21st Century: Review of current methods and recommendations for a path forward","interactions":[],"lastModifiedDate":"2024-05-07T14:11:13.974271","indexId":"70244184","displayToPublicDate":"2023-06-01T09:30:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"Toxicological effects assessment for wildlife in the 21st Century: Review of current methods and recommendations for a path forward","docAbstract":"Model species (e.g., granivorous gamebirds, waterfowl, passerines, domesticated rodents) have been used for decades in guideline laboratory tests to generate survival, growth and reproductive data for prospective Ecological Risk Assessments (ERAs) for birds and mammals, while officially adopted risk assessment schemes for amphibians and reptiles do not exist. There are recognized shortcomings of current in vivo methods as well as uncertainty around the extent to which species with different life histories (e.g., terrestrial amphibians, reptiles, bats) than these commonly used models are protected by existing ERA frameworks. Approaches other than validating additional animal models for testing are being developed, but incorporation of such new approach methodologies (NAMs) into risk assessment frameworks will require robust validations against in vivo responses. This takes time, and the ability to extrapolate findings from non-animal studies to organism- and population-level effects in terrestrial wildlife remains weak. Failure to adequately anticipate and predict hazards could have economic and potentially even legal consequences for regulators and product registrants. In order to be able to use fewer animals or replace them altogether in the long-term, vertebrate use and whole organism data will be needed to provide data for NAMs validation in the short term. Therefore, it is worth investing resources for potential updates to existing standard test guidelines used in the laboratory as well as addressing the need for clear guidance on conduct of field studies. Herein we review the potential for improving standard in vivo test methods and for advancing the use of field studies in wildlife risk assessment, as these tools will be needed into the foreseeable future.
","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/ieam.4795","usgsCitation":"Bean, T., Beasley, V., Berny, P., Eisenreich, K., Elliott, J.E., Eng, M.L., Fuchsman, P., Johnson, M.S., King, M., Mateo Soria, R., Meyer, C., Salice, C., and Rattner, B.A., 2024, Toxicological effects assessment for wildlife in the 21st Century: Review of current methods and recommendations for a path forward: Integrated Environmental Assessment and Management, v. 20, no. 3, p. 699-724, https://doi.org/10.1002/ieam.4795.","productDescription":"26 p.","startPage":"699","endPage":"724","ipdsId":"IP-147218","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":441268,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ieam.4795","text":"Publisher Index Page"},{"id":417915,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-06-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Bean, Thomas G.","contributorId":306122,"corporation":false,"usgs":false,"family":"Bean","given":"Thomas G.","affiliations":[{"id":39755,"text":"FMC","active":true,"usgs":false}],"preferred":false,"id":874793,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beasley, Val R.","contributorId":306123,"corporation":false,"usgs":false,"family":"Beasley","given":"Val R.","affiliations":[{"id":36403,"text":"University of Illinois","active":true,"usgs":false}],"preferred":false,"id":874794,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berny, Philippe","contributorId":306124,"corporation":false,"usgs":false,"family":"Berny","given":"Philippe","affiliations":[{"id":66373,"text":"UR ICE-VETAGRO-SUP, 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University","active":true,"usgs":false}],"preferred":false,"id":874804,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Rattner, Barnett A. 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":4142,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":874805,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70244148,"text":"70244148 - 2024 - Characterizing lung particulates using quantitative microscopy in coal miners with severe pneumoconiosis","interactions":[],"lastModifiedDate":"2024-03-11T14:21:48.053916","indexId":"70244148","displayToPublicDate":"2023-06-01T06:48:54","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":14456,"text":"Archives of Pathology and Laboratory Medicine","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing lung particulates using quantitative microscopy in coal miners with severe pneumoconiosis","docAbstract":"Current approaches for characterizing retained lung dust using pathologists' qualitative assessment or scanning electron microscopy with energy-dispersive spectroscopy (SEM/EDS) have limitations.
To explore polarized light microscopy coupled with image-processing software, termed quantitative microscopy–particulate matter (QM-PM), as a tool to characterize in situ dust in lung tissue of US coal miners with progressive massive fibrosis.
We developed a standardized protocol using microscopy images to characterize the in situ burden of birefringent crystalline silica/silicate particles (mineral density) and carbonaceous particles (pigment fraction). Mineral density and pigment fraction were compared with pathologists' qualitative assessments and SEM/EDS analyses. Particle features were compared between historical (born before 1930) and contemporary coal miners, who likely had different exposures following changes in mining technology.
Lung tissue samples from 85 coal miners (62 historical and 23 contemporary) and 10 healthy controls were analyzed using QM-PM. Mineral density and pigment fraction measurements with QM-PM were comparable to consensus pathologists' scoring and SEM/EDS analyses. Contemporary miners had greater mineral density than historical miners (186 456 versus 63 727/mm3; P = .02) and controls (4542/mm3), consistent with higher amounts of silica/silicate dust. Contemporary and historical miners had similar particle sizes (median area, 1.00 versus 1.14 μm2; P = .46) and birefringence under polarized light (median grayscale brightness: 80.9 versus 87.6; P = .29).
QM-PM reliably characterizes in situ silica/silicate and carbonaceous particles in a reproducible, automated, accessible, and time/cost/labor-efficient manner, and shows promise as a tool for understanding occupational lung pathology and targeting exposure controls.
","language":"English","publisher":"Allen Press","doi":"10.5858/arpa.2022-0427-OA","usgsCitation":"Hua, J.T., Cool, C.D., Lowers, H.A., Go, L.H., Zell-Baran, L.M., Sarver, E.A., Almberg, K.S., Pang, K.D., Majka, S.M., Franko, A.D., Vorajee, N.I., Cohen, R.A., and Rose, C.S., 2024, Characterizing lung particulates using quantitative microscopy in coal miners with severe pneumoconiosis: Archives of Pathology and Laboratory Medicine, v. 148, no. 3, p. 327-335, https://doi.org/10.5858/arpa.2022-0427-OA.","productDescription":"9 p.","startPage":"327","endPage":"335","ipdsId":"IP-144183","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":441269,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5858/arpa.2022-0427-oa","text":"Publisher Index Page"},{"id":420752,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9W3TTD1","text":"USGS data release","description":"USGS data release","linkHelpText":"Characteristics of dust associated with the development of rapidly progressive pneumoconiosis and progressive massive fibrosis"},{"id":417733,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"148","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-06-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Hua, Jeremy T.","contributorId":292496,"corporation":false,"usgs":false,"family":"Hua","given":"Jeremy","email":"","middleInitial":"T.","affiliations":[{"id":36955,"text":"National Jewish Health","active":true,"usgs":false}],"preferred":false,"id":874622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cool, Carlyne D.","contributorId":265746,"corporation":false,"usgs":false,"family":"Cool","given":"Carlyne","email":"","middleInitial":"D.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":874623,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":874624,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Go, Leonard H. 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FloPy functionality has expanded to support the latest version of MODFLOW (MODFLOW 6) including support for unstructured grids. FloPy can be used to download MODFLOW-based and other executables for Linux, MacOS, and Windows operating systems, which simplifies the process required to download and use these executables. Expanded FloPy capabilities include (1) full support for structured and unstructured spatial discretizations; (2) geoprocessing of spatial features and raster data to develop model input for supported discretization types; (3) the addition of functionality to provide direct access to simulated output data; (4) extension of plotting capabilities to unstructured MODFLOW 6 discretization types; and (5) the ability to export model data to shapefiles, NetCDF, and VTK formats for processing, analysis, and visualization by other software products. Examples of using expanded FloPy capabilities are presented for a hypothetical watershed. An unstructured groundwater flow and transport model, with several advanced stress packages, is presented to demonstrate how FloPy can be used to develop complicated unstructured model datasets from original source data (shapefiles and rasters), post-process model results, and plot simulated results.","language":"English","publisher":"National Groundwater Association","doi":"10.1111/gwat.13327","usgsCitation":"Hughes, J.D., Langevin, C.D., Paulinski, S., Larsen, J., and Brakenhoff, D., 2024, FloPy workflows for creating structured and unstructured MODFLOW models: Groundwater, v. 62, no. 1, p. 124-139, https://doi.org/10.1111/gwat.13327.","productDescription":"16 p.","startPage":"124","endPage":"139","ipdsId":"IP-147421","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":441271,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.13327","text":"Publisher Index Page"},{"id":418801,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-06-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Hughes, Joseph D. 0000-0003-1311-2354 jdhughes@usgs.gov","orcid":"https://orcid.org/0000-0003-1311-2354","contributorId":2492,"corporation":false,"usgs":true,"family":"Hughes","given":"Joseph","email":"jdhughes@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":877222,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langevin, Christian D. 0000-0001-5610-9759 langevin@usgs.gov","orcid":"https://orcid.org/0000-0001-5610-9759","contributorId":1030,"corporation":false,"usgs":true,"family":"Langevin","given":"Christian","email":"langevin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":877223,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paulinski, Scott R. 0000-0001-6548-8164","orcid":"https://orcid.org/0000-0001-6548-8164","contributorId":204240,"corporation":false,"usgs":true,"family":"Paulinski","given":"Scott R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":877224,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Larsen, Joshua 0000-0002-1218-800X jlarsen@usgs.gov","orcid":"https://orcid.org/0000-0002-1218-800X","contributorId":272403,"corporation":false,"usgs":true,"family":"Larsen","given":"Joshua","email":"jlarsen@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":877225,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brakenhoff, David 0000-0002-2993-2202","orcid":"https://orcid.org/0000-0002-2993-2202","contributorId":316259,"corporation":false,"usgs":false,"family":"Brakenhoff","given":"David","email":"","affiliations":[{"id":68536,"text":"Artesia Water","active":true,"usgs":false}],"preferred":false,"id":877226,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70256405,"text":"70256405 - 2024 - Inconsistent citation of the Global Seismographic Network in scientific publications","interactions":[],"lastModifiedDate":"2024-08-01T14:09:29.019267","indexId":"70256405","displayToPublicDate":"2023-05-26T09:06:31","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":"Inconsistent citation of the Global Seismographic Network in scientific publications","docAbstract":"The highly used Global Seismographic Network (GSN) is a pillar of the seismological research community and contributes to numerous groundbreaking publications. Despite its wide recognition, this survey found that the GSN is not consistently acknowledged in scientific literature and is underrepresented by roughly a factor of 3 in citation searches. Publication tracking is a key metric that factors into operational decisions and funding support for the network; thus, consistent and proper citation of the GSN is important. This study not only serves as a reminder for researchers using GSN observations to cite the network’s digital object identifiers (DOIs) but also promotes a community‐wide conversation among researchers, journal editors, network operators, and other stakeholders regarding more standardized policies and review processes to ensure seismic networks are properly and consistently recognized for their contributions to research.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220230004","usgsCitation":"Staats, M., Aderhold, K., Hafner, K., Dalton, C., Flanagan, M., Lau, H., Simons, F., Vallée, M., Wei, S., Yeck, W.L., Frassetto, A., and Busby, R., 2024, Inconsistent citation of the Global Seismographic Network in scientific publications: Seismological Research Letters, v. 95, no. 3, p. 1478-1485, https://doi.org/10.1785/0220230004.","productDescription":"8 p.","startPage":"1478","endPage":"1485","ipdsId":"IP-152175","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":432024,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"95","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Staats, Molly","contributorId":340471,"corporation":false,"usgs":false,"family":"Staats","given":"Molly","email":"","affiliations":[{"id":81617,"text":"EarthsSope Consortium","active":true,"usgs":false}],"preferred":false,"id":907272,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aderhold, Kasey","contributorId":272213,"corporation":false,"usgs":false,"family":"Aderhold","given":"Kasey","email":"","affiliations":[],"preferred":false,"id":907273,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hafner, Katrin","contributorId":207873,"corporation":false,"usgs":false,"family":"Hafner","given":"Katrin","affiliations":[{"id":34982,"text":"IRIS","active":true,"usgs":false}],"preferred":false,"id":907274,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dalton, Colleen","contributorId":340472,"corporation":false,"usgs":false,"family":"Dalton","given":"Colleen","email":"","affiliations":[{"id":81619,"text":"Brown Unviersity","active":true,"usgs":false}],"preferred":false,"id":907275,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flanagan, Megan","contributorId":340473,"corporation":false,"usgs":false,"family":"Flanagan","given":"Megan","email":"","affiliations":[{"id":39852,"text":"Air Force Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":907276,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lau, Harriet","contributorId":340474,"corporation":false,"usgs":false,"family":"Lau","given":"Harriet","email":"","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":907277,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Simons, Frederick","contributorId":340475,"corporation":false,"usgs":false,"family":"Simons","given":"Frederick","email":"","affiliations":[{"id":81620,"text":"Princeton","active":true,"usgs":false}],"preferred":false,"id":907278,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vallée, Martin","contributorId":340476,"corporation":false,"usgs":false,"family":"Vallée","given":"Martin","affiliations":[{"id":81621,"text":"Universite Parise Cite","active":true,"usgs":false}],"preferred":false,"id":907279,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wei, Shawn","contributorId":340477,"corporation":false,"usgs":false,"family":"Wei","given":"Shawn","email":"","affiliations":[{"id":81622,"text":"Michingan State","active":true,"usgs":false}],"preferred":false,"id":907280,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Yeck, William L. 0000-0002-2801-8873 wyeck@usgs.gov","orcid":"https://orcid.org/0000-0002-2801-8873","contributorId":147558,"corporation":false,"usgs":true,"family":"Yeck","given":"William","email":"wyeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":907281,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Frassetto, Andy","contributorId":340478,"corporation":false,"usgs":false,"family":"Frassetto","given":"Andy","email":"","affiliations":[{"id":81617,"text":"EarthsSope Consortium","active":true,"usgs":false}],"preferred":false,"id":907282,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Busby, Robert","contributorId":340479,"corporation":false,"usgs":false,"family":"Busby","given":"Robert","email":"","affiliations":[{"id":81623,"text":"EarthScope Consortium","active":true,"usgs":false}],"preferred":false,"id":907283,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70243950,"text":"70243950 - 2024 - Toward a national eDNA strategy for the United States","interactions":[],"lastModifiedDate":"2024-02-26T15:26:41.464318","indexId":"70243950","displayToPublicDate":"2023-05-24T06:39:02","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5840,"text":"Environmental DNA","active":true,"publicationSubtype":{"id":10}},"title":"Toward a national eDNA strategy for the United States","docAbstract":"Environmental DNA (eDNA) data make it possible to measure and monitor biodiversity at unprecedented resolution and scale. As use-cases multiply and scientific consensus grows regarding the value of eDNA analysis, public agencies have an opportunity to decide how and where eDNA data fit into their mandates. Within the United States, many federal and state agencies are individually using eDNA data in various applications and developing relevant scientific expertise. A national strategy for eDNA implementation would capitalize on recent scientific developments, providing a common set of next-generation tools for natural resource management and public health protection. Such a strategy would avoid patchwork and possibly inconsistent guidelines in different agencies, smoothing the way for efficient uptake of eDNA data in management. Because eDNA analysis is already in widespread use in both ocean and freshwater settings, we focus here on applications in these environments. However, we foresee the broad adoption of eDNA analysis to meet many resource management issues across the nation because the same tools have immediate terrestrial and aerial applications.
Effective undergraduate statistical education requires training using real-world data. Textbook datasets seldom match the complexities and messiness of real-world data and finding these datasets can be challenging for educators. Consulting and industrial datasets often have nondisclosure agreements. Academic datasets often require subject area expertise beyond those of a general education or lack connections to real-world applications. Many governments, including the United States, now require the release of data from projects they directly complete or fund though grants and contracts. We show how statistical educators may find datasets and incorporate them into courses. Specifically, we use two examples from the U.S. Geological Survey (USGS) and one example from the ecology literature. We demonstrate the use of these datasets in an upper-level analysis of variance (ANOVA) class. In addition to describing how we found the datasets, we describe how to include them into course work and the course’s student assessments. We have used these datasets over multiple semesters and included student feedback from these courses. Although our examples focus on an ANOVA class, the general methods for finding data shared here could be used for statistical classes ranging from high school to graduate education. Supplementary materials for this article are available online.
","language":"English","publisher":"Taylor and Francis","doi":"10.1080/26939169.2023.2195459","usgsCitation":"Bennie, B., and Erickson, R.A., 2024, Obtaining and applying public data for training students in technical statistical writing: Case studies with data from U.S. Geological Survey and general ecological literature: Journal of Statistics and Data Science Education, v. 32, no. 2, p. 217-226, https://doi.org/10.1080/26939169.2023.2195459.","productDescription":"10 p.","startPage":"217","endPage":"226","ipdsId":"IP-137259","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":441278,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/26939169.2023.2195459","text":"Publisher Index Page"},{"id":416986,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-05-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Bennie, Barb","contributorId":244792,"corporation":false,"usgs":false,"family":"Bennie","given":"Barb","email":"","affiliations":[{"id":48977,"text":"UW-La Crosse","active":true,"usgs":false}],"preferred":false,"id":872396,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":872397,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70254877,"text":"70254877 - 2024 - Optimal management decisions are robust to unknown dynamics in an amphibian metapopulation plagued by disease","interactions":[],"lastModifiedDate":"2024-06-11T23:58:12.591184","indexId":"70254877","displayToPublicDate":"2023-05-03T18:54:25","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":774,"text":"Animal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Optimal management decisions are robust to unknown dynamics in an amphibian metapopulation plagued by disease","docAbstract":"Identifying conservation actions to recover threatened species can be challenging due to many ecological uncertainties. For example, major threats to a species' conservation are commonly known or suspected, but the specific impacts on population or metapopulation dynamics can be uncertain. This is frequently the case with emerging infectious diseases, including chytridiomycosis, a global driver of amphibian population declines caused by the fungal pathogens Batrachochytrium dendrobatidis (Bd) and Batrachochytrium salamandrivorans. While these diseases are known to cause amphibian declines and extirpations, the mechanisms of their landscape-scale spread are still largely unknown. Such uncertainty can lead to inaction which may jeopardize timely recovery of a species. Decision analysis is a pragmatic approach to making transparent and defensible decisions while dealing with uncertainties. We investigated whether optimal actions aimed at recovering boreal toad (Anaxyrus boreas boreas) metapopulations in the southern Rocky Mountains are robust to the unknown dynamics of Bd spread using value of information and regret analyses. Value of information is a decision-analytic tool for calculating the value of new information in terms of performance on management objectives, while regret measures the cost of acting under incorrect information. We further conducted a stochastic sensitivity analysis to identify the relative effects of metapopulation parameters on system dynamics. We found optimal actions were robust to the unknown dynamics of Bd spread. While boreal toad breeding occurrence is highly sensitive to Bd distribution, the optimal decision is not. Resolving the unknown dynamics of Bd spread would lead to a minimal gain of less than one breeding toad subpopulation at the end of 50 years, given the currently available management actions. Applying a decision-analytic framework coupled with value of information and regret analyses can help frame how uncertainties affect decisions in a way that empowers decision makers.
This chapter explains the rationale for considering shallowly buried (0 to >5 m depth) water ice in the mid-latitudes of Mars as a resource to support future human missions, and describes a NASA-funded effort to map that ice with existing orbital remote-sensing data. In recent decades, numerous studies have used various datasets to investigate the presence and stability of water ice in the Martian shallow subsurface, with the aim of understanding the planet’s recent climate history. As part of a renewed effort to prepare for human Mars missions, NASA has undertaken a more resource-focused approach. Here we describe the Mars Subsurface Water Ice Mapping (SWIM) team’s efforts to characterize the distribution of buried water-ice resources across all longitudes from 60°S to 60°N latitude through the integration of multiple datasets. Deriving composite measures for the presence of accessible ice from a diverse range of remote sensing techniques with unique resolutions and caveats is a challenging problem. To enable data synthesis, the team developed a methodology that assigns values of ice consistency for mapped detections of hydrogen from a neutron spectrometer, thermal behavior from various thermal spectrometers, multiscale geomorphology from imagery and elevation data, and surface and subsurface echoes from a radar sounder. Faced with diverse sensing depths and footprints for these datasets, the team has been pursuing an optimal approach to best represent multi-dataset ice consistency. The current formulation includes the use of weighting factors tuned to depth zones of interest for resource extraction. In the absence of dedicated ground-truth data, the validity of the team’s efforts is assessed by comparing the maps to the locations of fresh, ice-exposing impacts. The highest ice-consistency values occur within discrete zones poleward of ~40° latitude, where ice is relatively shallow, but positive values extend well into the ~20°–30° latitude zone, which is preferable for landing sites due to engineering considerations.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Handbook of Space Resources","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-030-97913-3_16","usgsCitation":"Putzig, N.E., Morgan, G.A., Sizemore, H.G., Hollibaugh Baker, D.M., Petersen, E.I., Pathare, A.V., Dundas, C., Bramson, A.M., Courville, S.W., Perry, M.R., Nerozzi, S., Bain, Z.M., Hoover, R.H., Campbell, B.A., Mastrogiuseppe, M., Mellon, M.T., Seu, R., and Smith, I.B., 2024, Ice resource mapping on Mars, chap. of Handbook of Space Resources, p. 583-616, https://doi.org/10.1007/978-3-030-97913-3_16.","productDescription":"34 p.","startPage":"583","endPage":"616","ipdsId":"IP-127348","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":433001,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","noUsgsAuthors":false,"publicationDate":"2023-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Putzig, Nathaniel E","contributorId":269987,"corporation":false,"usgs":false,"family":"Putzig","given":"Nathaniel","email":"","middleInitial":"E","affiliations":[{"id":24584,"text":"PSI","active":true,"usgs":false}],"preferred":false,"id":911307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morgan, Gareth A 0000-0002-9513-8736","orcid":"https://orcid.org/0000-0002-9513-8736","contributorId":229487,"corporation":false,"usgs":false,"family":"Morgan","given":"Gareth","email":"","middleInitial":"A","affiliations":[{"id":24584,"text":"PSI","active":true,"usgs":false}],"preferred":false,"id":911308,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sizemore, Hanna G 0000-0002-6641-2388","orcid":"https://orcid.org/0000-0002-6641-2388","contributorId":229472,"corporation":false,"usgs":false,"family":"Sizemore","given":"Hanna","email":"","middleInitial":"G","affiliations":[{"id":24584,"text":"PSI","active":true,"usgs":false}],"preferred":false,"id":911309,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hollibaugh Baker, David M","contributorId":293262,"corporation":false,"usgs":false,"family":"Hollibaugh Baker","given":"David","email":"","middleInitial":"M","affiliations":[{"id":40052,"text":"NASA Goddard","active":true,"usgs":false}],"preferred":false,"id":911310,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Petersen, Eric I","contributorId":229489,"corporation":false,"usgs":false,"family":"Petersen","given":"Eric","email":"","middleInitial":"I","affiliations":[{"id":41657,"text":"U. 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Studies of interior basins within the northern Tibetan Plateau provide new sediment accumulation, provenance, paleodrainage, and deformation timing data that enable a reconstruction of the far-field tectono-geomorphic evolution of the rising Tibetan Plateau. Along the northern plateau margin, topographic growth in the West Qinling Belt is inferred to have initiated in the Eocene, nearly coeval with the India-Asia collision, as well as in the late Miocene. However, geological knowledge about the intervening period remains at present enigmatic, and the kinematics and dynamics are uncertain. This study presents a multidisciplinary data set from the intermontane Anhua-Huicheng Basin (AHB; Gansu Province, China) to fill this gap. Magnetostratigraphic dating, regional mapping, and sedimentological analysis imply that contractional deformation and thrust-top basin systems formed within the West Qinling Belt in the Oligocene (not later than ca. 24 Ma). A combination of observations including paleocurrent changes, detrital zircon U-Pb age variations, and appearance of growth strata along the Anhua-Huicheng Basin reveal the rapid uplift of the West Qinling Belt at ca. 15 Ma. Sedimentation in the intermontane basins ended after the late Miocene (ca. 8 Ma), when the region experienced intrabasinal deformation, uplift, and erosion with the establishment of an external drainage system. Since the late Miocene, the growth of the West Qinling Belt reached a climax with the lack of substantial contractional deformation in Cenozoic sequences heralding the onset of the modern kinematic regime and attainment of high elevation. Observed transitions in the tectonostratigraphy and paleodrainage define different phases of deformation and plateau-wide shifts in stress reorganization, which led to the northward growth and later lateral expansion of the Tibetan Plateau.
Habitat suitability models for freshwater mussels can inform conservation of these imperiled animals. Riverscape-scale hydrogeomorphic variables were previously used to predict suitable mussel habitat in the Meramec River basin, Missouri. We evaluated transferability of the Meramec River habitat suitability model to the Gasconade and Little Black rivers, in the Ozark Highlands ecoregion, Missouri. The best-fit models relied on transferring and adapting the original modeling framework to better represent the unique habitat characteristics of each river. Mussel bed occurrence in both rivers was associated with reaches that were classified as pools. Mussel beds in the Gasconade River were also associated with laterally stable reaches adjacent to small bluffs, distant from gravel bars, and with higher stream power indices. Mussel beds in the Little Black River were associated with reaches with higher surface water availability during low-flow conditions, lower stream power indices, and bluffs located downstream. Our results show that existing habitat models can be transferred to other streams with similar environmental conditions, but differences in watershed characteristics can affect transferability.
","language":"English","publisher":"Freshwater Mollusk Conservation Society","doi":"10.31931/fmbc-d-21-00005","usgsCitation":"Hartman, J.H., Rosenberger, A.E., Key, K.N., and Lindner, G.A., 2024, Assessing potential habitat for freshwater mussels by transferring a habitat suitability model within the Ozark Ecoregion, Missouri: Freshwater Mollusk Biology and Conservation, v. 26, no. 1, p. 32-44, https://doi.org/10.31931/fmbc-d-21-00005.","productDescription":"13 p.","startPage":"32","endPage":"44","ipdsId":"IP-128365","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":441286,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.31931/fmbc-d-21-00005","text":"Publisher Index Page"},{"id":433222,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"Ozark Highlands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -89.48277091924116,\n 37.56996609191134\n ],\n [\n -90.43622532050725,\n 38.406472750075494\n ],\n [\n -90.85898340408788,\n 38.88418454557933\n ],\n [\n -92.88282529356854,\n 38.3923742230769\n ],\n [\n -92.75689735377867,\n 36.62295716381152\n ],\n [\n -90.08542605966407,\n 36.48567275312169\n ],\n [\n -89.48277091924116,\n 37.56996609191134\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"26","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hartman, Jordan H.","contributorId":341437,"corporation":false,"usgs":false,"family":"Hartman","given":"Jordan","email":"","middleInitial":"H.","affiliations":[{"id":56209,"text":"Tennessee Tech University","active":true,"usgs":false}],"preferred":false,"id":908416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberger, Amanda E. 0000-0002-5520-8349 arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":908417,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Key, Kayla N.","contributorId":206919,"corporation":false,"usgs":false,"family":"Key","given":"Kayla","email":"","middleInitial":"N.","affiliations":[{"id":13706,"text":"University of Missouri-Columbia","active":true,"usgs":false}],"preferred":false,"id":908418,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lindner, Garth A.","contributorId":201828,"corporation":false,"usgs":false,"family":"Lindner","given":"Garth","email":"","middleInitial":"A.","affiliations":[{"id":36266,"text":"University of Missouri Cooperative Research Unit","active":true,"usgs":false}],"preferred":false,"id":908419,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70240457,"text":"70240457 - 2024 - Wall diffuser velocity effects on American shad (Alosa sapidissima) inside a fishway entrance channel","interactions":[],"lastModifiedDate":"2024-04-10T15:39:18.590353","indexId":"70240457","displayToPublicDate":"2023-03-09T10:20:17","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5513,"text":"Journal of Ecohydraulics","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Wall diffuser velocity effects on American shad (Alosa sapidissima) inside a fishway entrance channel","title":"Wall diffuser velocity effects on American shad (Alosa sapidissima) inside a fishway entrance channel","docAbstract":"Attraction water for fishways is typically introduced through a diffuser inside the entrance channel, often through the floor or wall. In the spring of 2019, this laboratory study examined how 151 adult American Shad (Alosa sapidissima) responded to different gross velocities through a wall diffuser inside a full-scale fishway entrance channel. Two velocity conditions were studied, 0.152 m/s and 0.305 m/s, both without turning vanes inside the auxiliary water channel. The fish were tracked using the passive integrated transponder telemetry technique. The results of the experiments showed no difference in American Shad behavior when exhibited to the low and high velocity treatments. Moreover, shad passed the diffuser in roughly 3 out of every 4 attempts, regardless of the treatment. However, the similarity in shad behavior and passage performance is believed to be more of a result of the similarity in flow fields that resulted from the lack of flow guidance devices inside the auxiliary water channel. These findings therefore highlight the importance of properly maintained flow guidance devices, an often-overlooked component of an auxiliary water system.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/24705357.2023.2176376","usgsCitation":"Mulligan, K., Rojas, M., Towler, B., Lake, B., and Palmer, R., 2024, Wall diffuser velocity effects on American shad (Alosa sapidissima) inside a fishway entrance channel: Journal of Ecohydraulics, v. 9, no. 1, p. 130-143, https://doi.org/10.1080/24705357.2023.2176376.","productDescription":"14 p.","startPage":"130","endPage":"143","ipdsId":"IP-134333","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":441289,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1960503","text":"External Repository"},{"id":414371,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-03-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Mulligan, Kevin 0000-0002-3534-4239 kmulligan@usgs.gov","orcid":"https://orcid.org/0000-0002-3534-4239","contributorId":177024,"corporation":false,"usgs":true,"family":"Mulligan","given":"Kevin","email":"kmulligan@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":863847,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rojas, Marcia","contributorId":300040,"corporation":false,"usgs":false,"family":"Rojas","given":"Marcia","email":"","affiliations":[{"id":37201,"text":"UMass Amherst","active":true,"usgs":false}],"preferred":false,"id":863848,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Towler, Brett","contributorId":141164,"corporation":false,"usgs":false,"family":"Towler","given":"Brett","email":"","affiliations":[{"id":6927,"text":"USFWS, National Wildlife Refuge System","active":true,"usgs":false}],"preferred":false,"id":863849,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lake, Bjorn","contributorId":300039,"corporation":false,"usgs":false,"family":"Lake","given":"Bjorn","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":863850,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Palmer, Richard","contributorId":202903,"corporation":false,"usgs":false,"family":"Palmer","given":"Richard","affiliations":[],"preferred":false,"id":863851,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70261032,"text":"70261032 - 2024 - Experimentally induced dieback conditions limit Phragmites australis growth","interactions":[],"lastModifiedDate":"2024-11-20T15:51:17.966952","indexId":"70261032","displayToPublicDate":"2023-03-02T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5020,"text":"Microorganisms","active":true,"publicationSubtype":{"id":10}},"title":"Experimentally induced dieback conditions limit Phragmites australis growth","docAbstract":"Phragmites australis is a cosmopolitan grass species common in wetland ecosystems across the world. In much of North America, the non-native subspecies of Phragmites threatens wetland biodiversity, hinders recreation, and is a persistent problem for natural resource managers. In other parts of the world, populations are in decline, as Reed Die-Back Syndrome (RDBS) plagues some Phragmites stands in its native range. RDBS is defined by a clumped growth form, stunted root and shoot growth, premature senescence, and shoot death. RDBS has been associated with a build-up of short-chain fatty acids (SCFAs) and altered bacterial and oomycete communities in soils, but the exact causes are unknown. To control invasive Phragmites populations, we sought to develop treatments that mimic the conditions of RDBS. We applied various SCFA treatments at various concentrations to mesocosm soils growing either Phragmites or native wetland plants. We found that the high-concentration SCFA treatments applied weekly induced strong significant declines in above- and belowground biomass of Phragmites. Declines were significant but slightly weaker in native species. In addition, soil bacterial abundance increased, diversity decreased, and bacterial community composition significantly differed following treatments, such that treated pots maintained a higher relative abundance of Pseudomonadaceae and fewer Acidobacteriaceae than untreated pots. Our results suggest that application of SCFAs to Phragmites can lead to stunted plants and altered soil bacterial communities similar to populations affected by RDBS. However, the lack of species-specificity and intensive application rate may not make this treatment ideal as a widespread management tool.
","language":"English","publisher":"MDPI","doi":"10.3390/microorganisms11030639","usgsCitation":"Bickford, W.A., Snow, D.S., Smith, M.K., Kingsley, K.L., White, J., and Kowalski, K., 2024, Experimentally induced dieback conditions limit Phragmites australis growth: Microorganisms, v. 11, no. 3, 639, 16 p., https://doi.org/10.3390/microorganisms11030639.","productDescription":"639, 16 p.","ipdsId":"IP-147596","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":467059,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/microorganisms11030639","text":"Publisher Index Page"},{"id":464344,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, 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\"}}]}","volume":"11","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-03-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Bickford, Wesley A. 0000-0001-7612-1325 wbickford@usgs.gov","orcid":"https://orcid.org/0000-0001-7612-1325","contributorId":5687,"corporation":false,"usgs":true,"family":"Bickford","given":"Wesley","email":"wbickford@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":918970,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Snow, Danielle S.","contributorId":346423,"corporation":false,"usgs":false,"family":"Snow","given":"Danielle","email":"","middleInitial":"S.","affiliations":[{"id":65481,"text":"Akima Systems Engineering","active":true,"usgs":false}],"preferred":false,"id":918971,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, McKenzie K.H.","contributorId":346424,"corporation":false,"usgs":false,"family":"Smith","given":"McKenzie","email":"","middleInitial":"K.H.","affiliations":[{"id":13500,"text":"Tulane University","active":true,"usgs":false}],"preferred":false,"id":918972,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kingsley, Kathryn L.","contributorId":203176,"corporation":false,"usgs":false,"family":"Kingsley","given":"Kathryn","email":"","middleInitial":"L.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":918973,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, James F.","contributorId":152046,"corporation":false,"usgs":false,"family":"White","given":"James F.","affiliations":[],"preferred":false,"id":918974,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":918975,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70243259,"text":"70243259 - 2024 - Reduction in overwinter body condition and size of Pacific sand lance has implications for piscivorous predators during marine heatwaves","interactions":[],"lastModifiedDate":"2024-06-18T13:51:09.952901","indexId":"70243259","displayToPublicDate":"2023-02-23T06:44:39","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Reduction in overwinter body condition and size of Pacific sand lance has implications for piscivorous predators during marine heatwaves","docAbstract":"Acute anomalous ocean warming events, including marine heatwaves (MHWs), have significant effects on reproduction and survival of piscivorous seabirds. Additionally, MHWs have negative effects on seabird fish prey, exacerbating these consequences and resulting in population implications for seabirds. We evaluated the relative body condition of Pacific sand lance Ammodytes personatus, an important seabird forage species, in Haro Strait, a highly productive region of southern British Columbia, Canada. We compared body condition and length of fish cohorts that experienced the 2016 MHW year (MHW cohorts) with fish hatched during 3 subsequent post MHW years (2017-2019). Age-0 MHW cohorts had a seasonal decline in body condition in age-0 fish from 100% in the summer to 81% in the winter, while age-1 fish showed a decline from summer-fall highs of 93.5% to wintertime low of 79.5%. In comparison, post MHW cohorts had a winter body condition that was 2-4 times higher than their MHW cohorts. Similar to previous studies in Alaska during the MHW, age-1 fish failed to grow and reach the typical size that distinguishes them from age-0 fish. Poor sand lance condition and growth in winter may explain the ramifications of a warming ocean for top predators, including seabirds and Pacific salmon, which depend on these prey fish in Haro Strait. Our results support the idea that Haro Strait, which is influenced by estuarine circulation resulting in cooler temperatures than surrounding areas, serves as a climate refugium for sand lance populations in summer and provides buffering capacity to ocean climate warming events.
","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/meps14257","usgsCitation":"Robinson, C.L., Bertram, D.F., Shannon, H., von Biela, V.R., Greentree, W., Duguird, W., and Arimitsu, M.L., 2024, Reduction in overwinter body condition and size of Pacific sand lance has implications for piscivorous predators during marine heatwaves: Marine Ecology Progress Series, v. 737, p. 89-99, https://doi.org/10.3354/meps14257.","productDescription":"11 p.","startPage":"89","endPage":"99","ipdsId":"IP-146513","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":441291,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps14257","text":"Publisher Index Page"},{"id":416750,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"737","noUsgsAuthors":false,"publicationDate":"2024-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Robinson, Clifford LK","contributorId":304816,"corporation":false,"usgs":false,"family":"Robinson","given":"Clifford","email":"","middleInitial":"LK","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":871696,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bertram, Douglas F","contributorId":304817,"corporation":false,"usgs":false,"family":"Bertram","given":"Douglas","email":"","middleInitial":"F","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":871697,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shannon, Hayleigh","contributorId":304818,"corporation":false,"usgs":false,"family":"Shannon","given":"Hayleigh","email":"","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":871698,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"von Biela, Vanessa R. 0000-0002-7139-5981 vvonbiela@usgs.gov","orcid":"https://orcid.org/0000-0002-7139-5981","contributorId":3104,"corporation":false,"usgs":true,"family":"von Biela","given":"Vanessa","email":"vvonbiela@usgs.gov","middleInitial":"R.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":871699,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Greentree, Wesley","contributorId":304819,"corporation":false,"usgs":false,"family":"Greentree","given":"Wesley","email":"","affiliations":[{"id":16829,"text":"University of Victoria","active":true,"usgs":false}],"preferred":false,"id":871700,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duguird, William","contributorId":304820,"corporation":false,"usgs":false,"family":"Duguird","given":"William","email":"","affiliations":[{"id":16829,"text":"University of Victoria","active":true,"usgs":false}],"preferred":false,"id":871701,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":871702,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70256550,"text":"70256550 - 2024 - Diversity, distribution, and methodological considerations of haemosporidian infections among Galliformes in Alaska","interactions":[],"lastModifiedDate":"2024-08-22T15:39:21.655581","indexId":"70256550","displayToPublicDate":"2023-02-02T10:32:55","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2025,"text":"International Journal for Parasitology: Parasites and Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Diversity, distribution, and methodological considerations of haemosporidian infections among Galliformes in Alaska","docAbstract":"Using samples spanning 10-degrees of latitude in Alaska, we provide the first comparative assessment of avian haemosporidia distribution of Arctic Alaska with subarctic host populations for four species of grouse and three species of ptarmigan (Galliformes). We found a high overall prevalence for at least one haemospordian genus (88%; N = 351/400), with spruce grouse (Canachites canadensis) showing the highest prevalence (100%; N = 54/54). Haemoproteus and Plasmodium lineages were only observed within grouse, while Leucocytozoon species were found within both grouse and ptarmigan. Further, different Leucocytozoon lineages were obtained from blood and tissue samples from the same individual, potentially due to the differential timing and duration of blood and tissue stages. Using different primer sets, we were able to identify different Leucocytozoon lineages within 55% (N = 44/80) of sequenced individuals, thereby detecting coinfections that may have otherwise gone undetected. The commonly used Haemoproteus/Plasmodium primers amplified Leucocytozoon for 90% (N = 103/115) of the products sequenced, highlighting the potential value of alternate primers to identify intra-genus coinfections and the importance of obtaining sequence information rather than relying solely on PCR amplification to assess parasite diversity. Overall, this dataset provides baseline information on parasite lineage distributions to assess the range expansion associated with climate change into Arctic regions and underscores methodological considerations for future studies.
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Amaral, Faith","contributorId":341101,"corporation":false,"usgs":false,"family":"De Amaral","given":"Faith","email":"","affiliations":[{"id":6690,"text":"San Francisco State University","active":true,"usgs":false}],"preferred":false,"id":907942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Robert E.","contributorId":341102,"corporation":false,"usgs":false,"family":"Wilson","given":"Robert E.","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":907943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science 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resource overlap of sympatric native and introduced salmonids across neighboring streams during a peak discharge event","docAbstract":"Species assemblages composed of non-native and native fishes are found in freshwater systems throughout the world, and interactions such as interspecific competition that may negatively affect native species are expected when non-native species are present. In the Smith River watershed, Montana, rainbow trout were introduced by 1930. Native mountain whitefish and non-native rainbow trout have presumably occurred in sympatry since the introduction of rainbow trout; however, knowledge about how these two species compete with one another for food resources is sparse. We quantified diet compositions of rainbow trout and mountain whitefish in the mainstem Smith River and in a tributary to the Smith River—Sheep Creek—to determine the degree of overlap in the diets of mountain whitefish and rainbow trout in the Smith River and between the mainstem Smith River and a tributary stream. Rainbow trout and mountain whitefish had generalist feeding strategies, which probably contribute to the amicable coexistence of these species. Diet overlap between rainbow trout and mountain whitefish was high (Pianka’s index value = 0.85) in the Smith River and moderate in Sheep Creek (Pianka’s index value = 0.57). Despite overlap in diets, some resource partitioning may alleviate resource competition (e.g., rainbow trout consumed far more Oligochaeta than mountain whitefish but fewer Brachycentridae and Chironomidae). Diet composition of rainbow trout and mountain whitefish did not differ greatly between the Smith River and Sheep Creek. Prey categories most commonly used by mountain whitefish at the population and individual levels (i.e., Ephemeroptera and Trichoptera) are sensitive taxa and many species within these orders have experienced extinctions and population declines. Therefore, future changes in resource availability or competition could be of concern.
","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0280833","usgsCitation":"Cox, T.L., Lance, M., Albertson, L., Briggs, M., Dutton, A.J., and Zale, A.V., 2024, Diet composition and resource overlap of sympatric native and introduced salmonids across neighboring streams during a peak discharge event: PLoS ONE, v. 18, no. 1, e0280833, 15 p., https://doi.org/10.1371/journal.pone.0280833.","productDescription":"e0280833, 15 p.","ipdsId":"IP-140511","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":441297,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0280833","text":"Publisher Index Page"},{"id":429778,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Smith River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.6705061351432,\n 47.43858839540755\n ],\n [\n -111.6705061351432,\n 46.8636526954179\n ],\n [\n -111.00332112471752,\n 46.8636526954179\n ],\n [\n -111.00332112471752,\n 47.43858839540755\n ],\n [\n -111.6705061351432,\n 47.43858839540755\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"18","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Cox, Tanner L.","contributorId":337858,"corporation":false,"usgs":false,"family":"Cox","given":"Tanner","email":"","middleInitial":"L.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":902735,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lance, Michael J.","contributorId":337859,"corporation":false,"usgs":false,"family":"Lance","given":"Michael J.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":902736,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Albertson, Lindsey K.","contributorId":337860,"corporation":false,"usgs":false,"family":"Albertson","given":"Lindsey K.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":902737,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Briggs, Michelle A.","contributorId":337861,"corporation":false,"usgs":false,"family":"Briggs","given":"Michelle A.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":902738,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dutton, Adeline J.","contributorId":337862,"corporation":false,"usgs":false,"family":"Dutton","given":"Adeline","email":"","middleInitial":"J.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":902739,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zale, Alexander V. 0000-0003-1703-885X","orcid":"https://orcid.org/0000-0003-1703-885X","contributorId":244099,"corporation":false,"usgs":true,"family":"Zale","given":"Alexander","email":"","middleInitial":"V.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":902740,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70239326,"text":"70239326 - 2024 - Soil elevation change in mangrove forests and marshes of the greater Everglades: A regional synthesis of surface elevation table-marker horizon (SET-MH) data","interactions":[],"lastModifiedDate":"2024-08-26T13:58:39.390067","indexId":"70239326","displayToPublicDate":"2022-12-20T07:04:56","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":"Soil elevation change in mangrove forests and marshes of the greater Everglades: A regional synthesis of surface elevation table-marker horizon (SET-MH) data","docAbstract":"Coastal wetlands adapt to rising seas via feedbacks that build soil elevation, which lead to wetland stability. However, accelerated rates of sea-level rise can exceed soil elevation gain, leading to wetland instability and loss. Thus, there is a pressing need to better understand regional and landscape variability in rates of wetland soil elevation change. Here, we conducted a regional synthesis of surface elevation change data from mangrove forests and coastal marshes in the iconic Greater Everglades region of south Florida (USA). We integrated data from 51 sites in which a total of 122 surface elevation table-marker horizon (SET-MH) stations were installed. Several of these sites have been periodically monitored since the 1990s and are among the oldest SET-MH datasets in the world. Rates of surface elevation change ranged from −9.8 to 15.2 mm year−1, indicating some wetlands are keeping pace with sea-level rise while others are at risk of submergence and conversion to open water. Vertical accretion rates ranged from 0.6 to 12.9 mm year−1, and subsurface change rates ranged from −13.5 to 8.6 mm year−1. Rates of surface elevation change were positively related to subsurface change but not vertical accretion. There were no significant relationships between rates of surface elevation change and elevation (NAVD 88) or rates of sea-level rise. Site-specific examples indicate that hurricanes, plant productivity, hydrologic exchange, and proximity to sediment and nutrient inputs are critical but confounding drivers of surface elevation change dynamics in the Greater Everglades region. Collectively, our results reinforce the value of long-term SET-MH data that incorporate spatial variability for advancing understanding of surface elevation change dynamics in coastal wetlands.
Capture and handling techniques for individual-based, long-term research that tracks the life history of animals by recapturing the same individuals for several years has vastly improved study inferences and our understanding of animal ecology. Yet there are corresponding risks to study animals associated with physical trauma or capture myopathy that can occur during or following capture events. Rarely has empirical evidence existed to guide decisions associated with understanding the magnitude of capture-related risks, how to reduce these risks when possible, and implications for mortality censoring and survival estimates. We used data collected from 2,399 capture events of mule deer (Odocoileus hemionus) via helicopter net-gunning to compare daily survival probabilities within a 10-week period centered on a capture event and evaluated how animal age, nutritional condition (body fat), and various handling methods influenced survival before, during, and following a capture event. Direct mortality resulting from capture efforts was 1.59%. Mean daily survival was 0.9993 ± 0.0001 (SE) during the 5-week pre-capture window, was depressed the day of capture at 0.9841 ± 0.0004, and rebounded to 0.9990 ± 0.0008 during the 5-week post-capture window. Neither capture nor handling had a detectable effect on post-capture survival, including handling time (x̄ = 13.30 ± 1.87 min), capture time of year (i.e., Dec or Mar), tooth extraction, and the number of times an animal had been recaptured (2–17 times). Although mortality rate was slightly elevated during capture (resulting from physical trauma associated with capture), age and nutritional condition did not influence the probability of mortality during a capture event. Following a capture event, nutritional condition influenced survival; however, that relationship was consistent with expected effects of nutritional condition on winter survival and independent of capture and handling. Overall survival rates 5 weeks before capture and 5 weeks after capture were not different. A specified window of time with depressed survival following capture and handling was not evident, which contradicts the implementation of a predetermined window often used by researchers and managers for censoring mortalities that occur after capture. Previous notions that censorship of all mortality data in the 2 weeks following capture is unwarranted and risks removal of meaningful data. With previous evidence guiding our protocols for capture (e.g., reduced chase time) and handling (e.g., temperature mitigation), low direct mortality and almost undetectable indirect mortality post capture reinforces the efficacy of helicopter net-gunning for capture and recapture of mule deer in long-term, individual-based studies.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22333","usgsCitation":"LaSharr, T.N., Dwinnell, S., Wagler, B.L., Sawyer, H., Jakopak, R.P., Ortega, A.C., Wilde, L.R., Kauffman, M., Huggler, K.S., Burke, P.W., Valdez, M., Lionberger, P., Brimeyer, D.G., Scurlock, B., Randall, J., Kaiser, R.C., Thonhoff, M., Fralick, G., and Monteith, K., 2024, Evaluating risks associated with capture and handling of mule deer for individual-based, long-term research: Journal of Wildlife Management, v. 87, no. 1, e22333, 17 p., https://doi.org/10.1002/jwmg.22333.","productDescription":"e22333, 17 p.","ipdsId":"IP-144184","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":441298,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22333","text":"Publisher Index Page"},{"id":430276,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.99857839242031,\n 43.35162132299823\n ],\n [\n -110.99857839242031,\n 41.029189561534366\n ],\n [\n -106.52720038040134,\n 41.029189561534366\n ],\n [\n -106.52720038040134,\n 43.35162132299823\n ],\n [\n -110.99857839242031,\n 43.35162132299823\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"87","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-11-29","publicationStatus":"PW","contributors":{"authors":[{"text":"LaSharr, Tayler N.","contributorId":339084,"corporation":false,"usgs":false,"family":"LaSharr","given":"Tayler","email":"","middleInitial":"N.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":903792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dwinnell, Samantha P. 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C.","contributorId":339124,"corporation":false,"usgs":false,"family":"Kaiser","given":"Rusty","email":"","middleInitial":"C.","affiliations":[{"id":40027,"text":"United States Forest Service","active":true,"usgs":false}],"preferred":false,"id":903807,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Thonhoff, Mark","contributorId":339127,"corporation":false,"usgs":false,"family":"Thonhoff","given":"Mark","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":903808,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Fralick, Gary L.","contributorId":339130,"corporation":false,"usgs":false,"family":"Fralick","given":"Gary L.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":903809,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Monteith, Kevin L.","contributorId":339133,"corporation":false,"usgs":false,"family":"Monteith","given":"Kevin L.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":903810,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70238469,"text":"70238469 - 2024 - Do pharmaceuticals in the environment pose a risk to wildlife?","interactions":[],"lastModifiedDate":"2024-02-26T15:23:54.846872","indexId":"70238469","displayToPublicDate":"2022-11-18T06:31:33","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Do pharmaceuticals in the environment pose a risk to wildlife?","docAbstract":"The vast majority of knowledge related to the question of, “To what extent do pharmaceuticals in the environment pose a risk to wildlife?”, stems from the Asian vulture crisis (>99% decline of some species of old-world vultures on the Indian subcontinent related to the veterinary use of the non-steroidal anti-inflammatory drug (NSAID) diclofenac). The hazard of diclofenac and other NSAIDs (carprofen, flunixin, ketoprofen, nimesulide, phenylbutazone) to vultures and other avian species has since been demonstrated; indeed only meloxicam and tolfenamic acid have been found to be vulture-safe. Since diclofenac was approved for veterinary use in Spain and Italy in 2013 (home to ~95% of vultures in Europe), the risk of NSAIDs to vultures in these countries has become one of the principal concerns related to pharmaceuticals and wildlife. Many of the other bodies of work on pharmaceutical exposure, hazard and risk to wildlife also relate to adverse effects in birds, (e.g., poisoning of scavenging birds in North America and Europe from animal carcasses containing pentobarbital; secondary and even tertiary poisoning of birds exposed to pesticides used in veterinary medicine as cattle dips; migratory birds as a vector for the transfer of antimicrobial and antifungal resistance). While there is some research related to endocrine disruption in reptiles and potential exposure of aerial insectivores, there remain numerous knowledge gaps for risk posed by pharmaceuticals to amphibians, reptiles and mammals. Developing non-invasive sampling techniques and new approach methodologies (e.g., genomic, in vitro, in silico, in ovo) are important if we are to bridge the current knowledge gaps without extensive vertebrate testing.
","language":"English","publisher":"Wiley","doi":"10.1002/etc.5528","usgsCitation":"Bean, T., Chadwick, E.A., Herrero-Villar, M., Mateo, R., Naidoo, V., and Rattner, B., 2024, Do pharmaceuticals in the environment pose a risk to wildlife?: Environmental Toxicology and Chemistry, v. 43, no. 3, p. 595-610, https://doi.org/10.1002/etc.5528.","productDescription":"16 p.","startPage":"595","endPage":"610","ipdsId":"IP-143231","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":441299,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.5528","text":"Publisher Index Page"},{"id":409666,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-11-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Bean, Thomas G.","contributorId":299328,"corporation":false,"usgs":false,"family":"Bean","given":"Thomas G.","affiliations":[],"preferred":false,"id":857566,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chadwick, Elizabeth A.","contributorId":299329,"corporation":false,"usgs":false,"family":"Chadwick","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":857567,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herrero-Villar, Marta","contributorId":299330,"corporation":false,"usgs":false,"family":"Herrero-Villar","given":"Marta","email":"","affiliations":[],"preferred":false,"id":857568,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mateo, Rafael","contributorId":299331,"corporation":false,"usgs":false,"family":"Mateo","given":"Rafael","affiliations":[],"preferred":false,"id":857569,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Naidoo, Vinny","contributorId":299332,"corporation":false,"usgs":false,"family":"Naidoo","given":"Vinny","affiliations":[],"preferred":false,"id":857570,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rattner, Barnett A. 0000-0003-3676-2843","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":95843,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett A.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":857571,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70238350,"text":"70238350 - 2024 - Lingering impacts of the 2014-2016 northeast Pacific marine heatwave on seabird demography in Cook Inlet, Alaska (USA)","interactions":[],"lastModifiedDate":"2024-06-18T13:49:34.94651","indexId":"70238350","displayToPublicDate":"2022-11-10T06:49:25","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Lingering impacts of the 2014-2016 northeast Pacific marine heatwave on seabird demography in Cook Inlet, Alaska (USA)","docAbstract":"A protracted period (2014-2016) of anomalously warm water in the northeast Pacific Ocean precipitated an extensive die-off of common murres Uria aalge (hereafter ‘murres’) during 2015-2016, accompanied by reduced colony attendance and reproductive success of murres and black-legged kittiwakes Rissa tridactyla (‘kittiwakes’) starting in 2015. Most murres died of starvation following a large-scale reduction in abundance and quality of forage fish. To assess murre and kittiwake recovery following the marine heatwave, we monitored their demographics at 2 colonies (Chisik and Gull Islands) in Cook Inlet, Alaska (USA), from 2016 to 2019. Compared to historic data (1995-1999), we observed declines and increased variability in colony attendance and productivity across species and colonies, and predation was widespread. At Chisik, where food limitations were common during historic studies, both species experienced substantial population declines and reproductive failures in all 4 years (2016-2019) following the heatwave. At Gull, a typically productive colony during historic studies, murres failed to fledge chicks for 3 years (2016-2018) following the heatwave. By 2019, murre productivity recovered to about half that observed during historic studies (0.28 vs. 0.54 chicks per pair), but populations had declined by half. Kittiwake population size at Gull declined a quarter from historic counts, and reproduction alternated between complete breeding failures (2016/2018) and high productivity (2017/2019). These multi-year demographic impacts indicate lingering effects of the heatwave on kittiwakes and murres through forage fish depletion and increased predator disturbance, and possibly other stressors. It remains unknown whether populations can rebound to historic levels. If so, recovery would likely take decades.
","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/meps14177","usgsCitation":"Schoen, S.K., Arimitsu, M.L., Marsteller, C.E., and Piatt, J., 2024, Lingering impacts of the 2014-2016 northeast Pacific marine heatwave on seabird demography in Cook Inlet, Alaska (USA): Marine Ecology Progress Series, v. 737, p. 121-136, https://doi.org/10.3354/meps14177.","productDescription":"16 p.","startPage":"121","endPage":"136","ipdsId":"IP-139150","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":441302,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps14177","text":"Publisher Index Page"},{"id":409415,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Cook Inlet","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -154.86692834754194,\n 58.461367338468136\n ],\n [\n -148.58541629436866,\n 58.461367338468136\n ],\n [\n -148.58541629436866,\n 61.78410578839723\n ],\n [\n -154.86692834754194,\n 61.78410578839723\n ],\n [\n -154.86692834754194,\n 58.461367338468136\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"737","noUsgsAuthors":false,"publicationDate":"2024-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Schoen, Sarah K. 0000-0002-5685-5185 sschoen@usgs.gov","orcid":"https://orcid.org/0000-0002-5685-5185","contributorId":5136,"corporation":false,"usgs":true,"family":"Schoen","given":"Sarah","email":"sschoen@usgs.gov","middleInitial":"K.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":857228,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":857229,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":857230,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":857231,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70254860,"text":"70254860 - 2024 - Offspring sex ratios are male-biased reflecting sex-biased dispersal in Idaho, USA, wolves.","interactions":[],"lastModifiedDate":"2024-06-10T16:28:27.227161","indexId":"70254860","displayToPublicDate":"2022-09-15T11:24:17","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":982,"text":"Behavioral Ecology and Sociobiology","active":true,"publicationSubtype":{"id":10}},"title":"Offspring sex ratios are male-biased reflecting sex-biased dispersal in Idaho, USA, wolves.","docAbstract":"Offspring sex ratios can vary widely across species, and the reasons for such variation have long intrigued ecologists. For group-living animals, predicting offspring sex ratios as a function of group and environmental characteristics can be challenging. Additionally, mortality of group members can upend traditional theory used to explain offspring sex ratios observed in populations. Gray wolves (Canis lupus) in Idaho, USA, are an excellent study species for asking questions about offspring sex ratios given their group-living behavior and persistent exposure to human-caused mortality. I hypothesized that offspring sex ratios would be influenced by the characteristics of individuals, groups, and populations. I generated genotypes for 419 adult and 400 pup wolves during 2008–2018. There was a significant male-bias in litters of wolf pups with nearly 12% more male pups born than females. The individual, group, and population variables I considered did not have significant associations with offspring sex ratios. Local resource competition helped explain offspring sex ratios in wolves in my study system, but not local resource enhancement theory. Although female helpers have been shown to help slightly more than males, offspring sex ratios did not favor the helping sex suggesting that the overall benefit of female helpers may have been negligible in wolf groups during my study. Three wolf groups consistently overproduced males, the dispersing sex, suggesting that habitat quality was poor in their territories. The male-biased offspring sex ratios observed throughout this population reflect sex-biased dispersal in wolves in Idaho. Such a pattern suggests breeding females may be reducing local resource competition (e.g., mates and successful reproduction) by producing more males than females.
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