{"pageNumber":"124","pageRowStart":"3075","pageSize":"25","recordCount":165309,"records":[{"id":70264282,"text":"70264282 - 2024 - Effect of oxygenation and location on survival and growth of endangered Lost River Suckers in net pens","interactions":[],"lastModifiedDate":"2025-03-27T13:21:03.075344","indexId":"70264282","displayToPublicDate":"2024-10-24T09:16:53","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Effect of oxygenation and location on survival and growth of endangered Lost River Suckers in net pens","docAbstract":"

Acclimation of captively reared fishes to their release environment through soft releases and cage culture can improve survival. Recovery strategies for imperiled Lost River Suckers Deltistes luxatus includes soft releases of captive reared juveniles in net pens in Upper Klamath Lake, Oregon. However, intermittent and sometimes extreme hypoxia in the lake can reduce juvenile fish survival in net pets. To ensure juvenile fish receive adequate oxygen for growth and survival, net pens can be placed in areas of higher oxygen concentration or oxygen can be supplemented. We experimented with a low-cost oxygenation system in Upper Klamath Lake net pens and its effects on survival and growth of juvenile Lost River Suckers. Pairs of net pens, one with supplemental oxygen and one without, were located at a deep offshore site with historically higher oxygen concentration called Mid North and a shallow near shore site with historically lower oxygen concentration called Fish Banks. Survival of passive integrated transponder tagged juvenile Lost River Suckers was monitored and evaluated with Kaplan-Meier survival analyses. We measured two full water column hypoxia events at Fish Banks during the study period, but none at the Mid North site. Oxygenation decreased the number of hours oxygen concentration was less than and pH was greater than known lethal and sublethal thresholds for juvenile Lost River Suckers. For juvenile Lost River Suckers that survived the entire July to September study period, growth was faster at Mid North than Fish Banks. Additionally, there was faster growth at the oxygenated than non-oxygenated Fish Bank’s site, whereas growth was faster at the non-oxygenated than oxygenated Mid North site. Survival did not differ between Mid North net pens, and the Fish Banks oxygenated net pen had greater survival compared to the non-oxygenated Fish Banks net pen during our study. Lost River Sucker growth and survival are dependent on net pen site selection and a low-cost oxygenation system can prevent mass mortality because of summertime hypoxia in shallow freshwater ecosystems.

","language":"English","publisher":"Allen Press","doi":"10.3996/JFWM-24-011","usgsCitation":"Banet, N.V., Burdick, S.M., Bart, R., Harris, A., and Krause, J.R., 2024, Effect of oxygenation and location on survival and growth of endangered Lost River Suckers in net pens: Journal of Fish and Wildlife Management, v. 15, no. 2, p. 361-379, https://doi.org/10.3996/JFWM-24-011.","productDescription":"19 p.","startPage":"361","endPage":"379","ipdsId":"IP-147662","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":488677,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/jfwm-24-011","text":"Publisher Index Page"},{"id":483134,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.11037882919081,\n 42.591147180046164\n ],\n [\n -122.11037882919081,\n 42.205990488449686\n ],\n [\n -121.7170888205275,\n 42.205990488449686\n ],\n [\n -121.7170888205275,\n 42.591147180046164\n ],\n [\n -122.11037882919081,\n 42.591147180046164\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-03-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Banet, Nathan V 0000-0002-8537-1702","orcid":"https://orcid.org/0000-0002-8537-1702","contributorId":238015,"corporation":false,"usgs":false,"family":"Banet","given":"Nathan","email":"","middleInitial":"V","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":930252,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burdick, Summer M. 0000-0002-3480-5793 sburdick@usgs.gov","orcid":"https://orcid.org/0000-0002-3480-5793","contributorId":3448,"corporation":false,"usgs":true,"family":"Burdick","given":"Summer","email":"sburdick@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":930253,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bart, Ryan J 0000-0003-0310-0667","orcid":"https://orcid.org/0000-0003-0310-0667","contributorId":298895,"corporation":false,"usgs":false,"family":"Bart","given":"Ryan J","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":930254,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harris, Alta C. 0000-0002-2123-3028 aharris@usgs.gov","orcid":"https://orcid.org/0000-0002-2123-3028","contributorId":3490,"corporation":false,"usgs":true,"family":"Harris","given":"Alta C.","email":"aharris@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":930255,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krause, Jacob Richard 0000-0002-9804-2481","orcid":"https://orcid.org/0000-0002-9804-2481","contributorId":300701,"corporation":false,"usgs":true,"family":"Krause","given":"Jacob","email":"","middleInitial":"Richard","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":930256,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70260109,"text":"70260109 - 2024 - Predictions of groundwater PFAS occurrence at drinking water supply depths in the United States","interactions":[],"lastModifiedDate":"2024-11-27T15:53:46.572812","indexId":"70260109","displayToPublicDate":"2024-10-24T09:02:46","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Predictions of groundwater PFAS occurrence at drinking water supply depths in the United States","docAbstract":"

Per- and polyfluoroalkyl substances (PFAS), known colloquially as “forever chemicals”, have been associated with adverse human health effects and have contaminated drinking water supplies across the United States owing to their long-term and widespread use. People in the United States may unknowingly be drinking water that contains PFAS because of a lack of systematic analysis, particularly in domestic water supplies. We present an extreme gradient boosting model for predicting the occurrence of PFAS in groundwater at the depths of drinking water supply for the conterminous United States. Our model results indicate that 71 to 95 million people in the conterminous United States potentially rely on groundwater with detectable concentrations of PFAS for their drinking-water supplies prior to any treatment.

","language":"English","publisher":"Science","doi":"10.1126/science.ado6638","usgsCitation":"Tokranov, A.K., Ransom, K.M., Bexfield, L.M., Lindsey, B.D., Watson, E., Dupuy, D., Stackelberg, P.E., Fram, M.S., Voss, S., Kingsbury, J.A., Jurgens, B., Smalling, K., and Bradley, P., 2024, Predictions of groundwater PFAS occurrence at drinking water supply depths in the United States: Science, v. 386, no. 6723, p. 748-755, https://doi.org/10.1126/science.ado6638.","productDescription":"8 p.","startPage":"748","endPage":"755","ipdsId":"IP-157604","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf 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Center","active":true,"usgs":true}],"preferred":true,"id":917023,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jurgens, Bryant C. 0000-0002-1572-113X","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":203409,"corporation":false,"usgs":true,"family":"Jurgens","given":"Bryant","middleInitial":"C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":917024,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Smalling, Kelly 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":221234,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":917025,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Bradley, Paul M. 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climate change and biotic invasions requires understanding their interactions and implications for natural resource management. To facilitate and support invasive species management in a changing climate, we review how climate change and invasions interact to impact the planning, action, and outcomes of invasive species management. Climate change is affecting which species natural resource managers need to assess, monitor, and target by facilitating the introduction of new potential invasive species and altering pathways of introduction and spread. Climate-driven shifts in seasonal conditions and phenological events disrupt and require more flexible management timelines. Climate change may reduce the efficacy and feasibility of current treatment methods and create a need to shift management goals as native ecosystems become more vulnerable to disturbance. Additionally, extreme climate events can compound the spread and impacts of biological invasions, making invasive species management a necessary part of extreme event preparation and response planning. As a solution to these challenges, we propose climate-smart invasive species management, which we define as the approaches that managers and decision-makers can take to address the interactive effects of climate change and invasions. Climate-smart invasive species management includes considering shifts in species ranges, abundance, and impacts to inform monitoring, treatment, and regulation of potential and new invaders at multiple scales. Managers can also adjust the timing of and approach to treatment as efficacy and feasibility change, promote resilient ecosystems through climate-smart restoration, and consider the effects of climate change when setting management goals. Furthermore, climate adaptation funds could expand avenues of funding and support for invasive species management. Explicitly considering the interactions of climate change and biological invasions within organizational decision-making and policy will lead to more effective management and can promote more resilient landscapes.","language":"English","publisher":"Wiley","doi":"10.1111/gcb.17531","usgsCitation":"Colberg, E., Bradley, B., Morelli, T.L., and Brown-Lima, C., 2024, Climate-smart invasive species management for 21st century global change challenges: Global Change Biology, v. 30, no. 10, e17531, 21 p., https://doi.org/10.1111/gcb.17531.","productDescription":"e17531, 21 p.","ipdsId":"IP-169489","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":489016,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.17531","text":"Publisher Index Page"},{"id":486070,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-10-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Colberg, Eva M.","contributorId":355393,"corporation":false,"usgs":false,"family":"Colberg","given":"Eva M.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":937201,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradley, Bethany","contributorId":355394,"corporation":false,"usgs":false,"family":"Bradley","given":"Bethany","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":937202,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morelli, Toni Lyn 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":197458,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"Lyn","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":937203,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown-Lima, Carrie J.","contributorId":347882,"corporation":false,"usgs":false,"family":"Brown-Lima","given":"Carrie J.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":937398,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70262841,"text":"70262841 - 2024 - Direct measurements of sediment geoacoustic properties in the New England Mud Patch and shelf break","interactions":[],"lastModifiedDate":"2025-01-24T15:22:05.435327","indexId":"70262841","displayToPublicDate":"2024-10-24T08:14:34","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2516,"text":"Journal of the Acoustical Society of America","active":true,"publicationSubtype":{"id":10}},"title":"Direct measurements of sediment geoacoustic properties in the New England Mud Patch and shelf break","docAbstract":"

This paper reports on an original set of direct sound speed measurements collected with the acoustic coring system in the New England Mud Patch (NEMP) and shelf break area to the south. Cores collected within the NEMP show range-dependence of the mud with slower sound speed and lower attenuation on the west side. In the shelf break region, the highest sound speeds are observed between the 200- and 350-m isobaths. The depth-dependence of the mud layer in the NEMP includes a surficial layer with a negative sound speed gradient of 28 s−1. The remainder of the mud column has a weak positive sound speed gradient of 6.2 s−1 over an isovelocity layer. Comparison between in situ and ex situ sound speed measurements provides an assessment of the effects of sediment disturbance from gravity coring operations. Small differences in the upper 2.5 m were attributed to the changes in the geoacoustic properties caused by disturbance from the coring process. Below 2.5 m, the average difference is close to zero, suggesting that these sediments were minimally disturbed. Finally, an in situ measurement of shear speed was obtained near the depth of maximum penetration. The shear speed was well correlated with sound speed from approximately the same depth interval.

","language":"English","publisher":"AIP Publishing","doi":"10.1121/10.0032469","usgsCitation":"Ballard, M.S., Garcia, D., Lee, K.M., Venegas, G., McNeese, A.R., Wilson, P.S., and Chaytor, J., 2024, Direct measurements of sediment geoacoustic properties in the New England Mud Patch and shelf break: Journal of the Acoustical Society of America, v. 156, no. 4, p. 2889-2902, https://doi.org/10.1121/10.0032469.","productDescription":"14 p.","startPage":"2889","endPage":"2902","ipdsId":"IP-168318","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":481136,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"New England Mud Patch","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -67.18560886631025,\n 44.74263659000226\n ],\n [\n -69.70902508552744,\n 44.39557545952769\n ],\n [\n -72.00604233760524,\n 42.674454937830546\n ],\n [\n -73.98490346089295,\n 40.601296057674006\n ],\n [\n -69.8223047255001,\n 41.032151602044024\n ],\n [\n -67.18560886631025,\n 44.74263659000226\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"156","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-10-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Ballard, Megan S.","contributorId":259312,"corporation":false,"usgs":false,"family":"Ballard","given":"Megan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":924974,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garcia, Dante D.","contributorId":349860,"corporation":false,"usgs":false,"family":"Garcia","given":"Dante D.","affiliations":[{"id":13603,"text":"University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":924975,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Kevin M.","contributorId":139558,"corporation":false,"usgs":false,"family":"Lee","given":"Kevin","email":"","middleInitial":"M.","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. 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Current address: TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":false,"id":924979,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chaytor, Jason 0000-0001-8135-8677 jchaytor@usgs.gov","orcid":"https://orcid.org/0000-0001-8135-8677","contributorId":140095,"corporation":false,"usgs":true,"family":"Chaytor","given":"Jason","email":"jchaytor@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":924980,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70260996,"text":"70260996 - 2024 - Understanding gaps in early detection of and rapid response to invasive species in the United States: A literature review and bibliometric analysis","interactions":[],"lastModifiedDate":"2024-11-20T14:13:54.021512","indexId":"70260996","displayToPublicDate":"2024-10-24T08:01:15","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1457,"text":"Ecological Informatics","active":true,"publicationSubtype":{"id":10}},"title":"Understanding gaps in early detection of and rapid response to invasive species in the United States: A literature review and bibliometric analysis","docAbstract":"While concepts regarding invasive species establishment patterns and eradication possibilities have long been a topic of invasion biology, the specific terminology referring to early detection of and rapid response to (EDRR) invasive species emerged in scientific literature during the early 2000s. Since then, the EDRR approach has expanded to include a suite of detection, planning, and management tools. By conducting a systematic literature review, we attempt to characterize the field of EDRR in the United States and its territories as reflected by publication records. Specifically, we assessed publication data such as the number of publications per year, the most common journals where papers were published, and the relationship between author’s keywords for studies focusing on aquatic and terrestrial habitats. For publications that used invasive species occurrence or abundance data (whether collected for the purposes of the respective publication or acquired from another data source), we manually vetted additional information such as focal taxa, data collection years and locations, sources of other data used, and whether data or code were deposited in open access formats. We also conducted network analyses for the author institutions that coauthored papers together most frequently and for the references most cited by EDRR publications. Overall, we found that silos existed in terms of which author institutions worked together, which existing literature was cited, and which topics were frequently explored. We also found evidence of substantial gaps in data access and use. For example, although a wide variety of data sources for invasive species occurrences are available, these sources were seldom cited by published literature, and newly collected data was not often deposited into invasive species databases or other open-source data repositories. Considering the continued advocation for a centralized national EDRR information system, our study suggests that facilitating access to data, decision support tools, and other informational resources represents a key opportunity for improving EDRR capabilities.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoinf.2024.102855","usgsCitation":"Wray, A.K., Agnew, A.C., Brown, M., Dean, E.M., Hernandez, N.D., Jordon, A., Morningstar, C., Piccolomini, S.E., Pickett, H.A., Daniel, W., and Reichert, B., 2024, Understanding gaps in early detection of and rapid response to invasive species in the United States: A literature review and bibliometric analysis: Ecological Informatics, v. 84, 102855, 9 p., https://doi.org/10.1016/j.ecoinf.2024.102855.","productDescription":"102855, 9 p.","ipdsId":"IP-156824","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research 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Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":918827,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hernandez, Nicole D 0000-0002-1920-3727","orcid":"https://orcid.org/0000-0002-1920-3727","contributorId":334937,"corporation":false,"usgs":true,"family":"Hernandez","given":"Nicole","email":"","middleInitial":"D","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":918828,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jordon, Audrey 0009-0000-3661-4221","orcid":"https://orcid.org/0009-0000-3661-4221","contributorId":330546,"corporation":false,"usgs":false,"family":"Jordon","given":"Audrey","email":"","affiliations":[{"id":27526,"text":"Georgia Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":918829,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Morningstar, Cayla 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0009-0003-6773-3604","orcid":"https://orcid.org/0009-0003-6773-3604","contributorId":346361,"corporation":false,"usgs":true,"family":"Pickett","given":"Harrison","email":"","middleInitial":"Alexander","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":918832,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Daniel, Wesley 0000-0002-7656-8474","orcid":"https://orcid.org/0000-0002-7656-8474","contributorId":214947,"corporation":false,"usgs":true,"family":"Daniel","given":"Wesley","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":918833,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Reichert, Brian E. 0000-0002-9640-0695","orcid":"https://orcid.org/0000-0002-9640-0695","contributorId":204260,"corporation":false,"usgs":true,"family":"Reichert","given":"Brian","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":918834,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70259943,"text":"70259943 - 2024 - Planktonic to sessile: Drivers of spatial and temporal variability across barnacle life stages and indirect effects of the Pacific Marine Heatwave","interactions":[],"lastModifiedDate":"2024-10-28T11:44:59.422601","indexId":"70259943","displayToPublicDate":"2024-10-24T06:41:41","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2430,"text":"Journal of Plankton Research","active":true,"publicationSubtype":{"id":10}},"title":"Planktonic to sessile: Drivers of spatial and temporal variability across barnacle life stages and indirect effects of the Pacific Marine Heatwave","docAbstract":"

Barnacles are a foundation species in intertidal habitats. During the Pacific Marine Heatwave (PMH), intertidal barnacle cover increased in the northern Gulf of Alaska (GoA); however, the role of pelagic larval supply in this increase was unknown. Using long-term monitoring data on intertidal benthic (percent cover) and pelagic larval populations (nauplii and cyprid concentrations), we examined potential environmental drivers (temperature, chlorophyll-a, mixed layer depth) of larval concentration and whether including larval concentration at regional and annual scales improved intertidal barnacle percent cover models in two study regions in the GoA. In both regions, larval concentrations were slightly higher following the PMH. Percent cover models were improved by including cyprid concentrations (but not nauplii), and the effect strength varied by site and tidal elevation. This indicates that larval concentration contributes as a bottom–up driver of benthic barnacle abundance. There is little evidence of a direct effect of the PMH on either life stage. Instead, our results may illustrate the positive feedback between life stages, where higher adult benthic abundance increased larval concentrations, which then supplied more new recruits to the benthos. As heatwaves continue to occur, integrating various data types can provide insights into factors influencing both benthic and pelagic communities.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/plankt/fbae059","usgsCitation":"Traiger, S.B., Bodkin, J., Campbell, R., Coletti, H., Esler, D., Holderied, K., Iken, K., Konar, B., McKinstry, C., Monson, D., Pretty, J., Renner, M., Robinson, B.H., Suryan, R.M., and Weitzman, B.P., 2024, Planktonic to sessile: Drivers of spatial and temporal variability across barnacle life stages and indirect effects of the Pacific Marine Heatwave: Journal of Plankton Research, fbae059, 15 p., https://doi.org/10.1093/plankt/fbae059.","productDescription":"fbae059, 15 p.","ipdsId":"IP-158761","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":466827,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/plankt/fbae059","text":"Publisher Index Page"},{"id":463237,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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4-nitro-3-(trifluoromethyl)phenol","docAbstract":"

A continuous-flow streamside toxicity test was completed to evaluate the risk posed by the use of 4-nitro-3-(trifluoromethyl)phenol (TFM), used to control Petromyzon marinus (sea lamprey), to Percina caprodes (logperch). Logperch are a host fish to the parasitic glochidia life stage of the federally endangered Epioblasma triquetra (snuffbox mussel). Streams with an extant population of snuffbox must be treated before May 1, 2023, to prevent inadvertent take through TFM-related mortality of glochidia-infested fish. Although the concentration of TFM required to induce 99.9 percent mortality of sea lamprey was 6.52 milligrams per liter, the TFM required to induce 25 percent mortality of logperch was 10.14 milligrams per liter. Our data indicate that logperch are not as sensitive to TFM as previously suggested.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241064","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service Sea Lamprey Control Program","usgsCitation":"Kirkeeng, C.A., Luoma, J.A., Schloesser, N., Schueller, J., and Kaye, C., 2024, Assessment of the sensitivity of Percina caprodes (logperch) to the pesticide 4-nitro-3-(trifluoromethyl)phenol: U.S. Geological Survey Open-File Report 2024–1064, 7 p., https://doi.org/10.3133/ofr20241064.","productDescription":"Report: vi, 7 p.; Data Release","numberOfPages":"18","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-161522","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":497880,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117735.htm","linkFileType":{"id":5,"text":"html"}},{"id":463108,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14HHHKA","text":"USGS data release","linkHelpText":"Data and code release—Technical assistance bioassay to compare sea lamprey and logperch sensitivity to TFM"},{"id":463099,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241064/full"},{"id":463097,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1064/ofr20241064.XML"},{"id":463096,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1064/ofr20241064.pdf","text":"Report","size":"1.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024–1064"},{"id":463095,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1064/coverthb.jpg"},{"id":463098,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1064/images/"}],"country":"United States","state":"Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.8159644849273,\n 44\n ],\n [\n -85,\n 44\n ],\n [\n -85,\n 43.2\n ],\n [\n -83.8159644849273,\n 43.2\n ],\n [\n -83.8159644849273,\n 44\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, Upper Midwest Environmental Sciences Center
U.S. Geological Survey
2630 Fanta Reed Road
La Crosse, WI 54603

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2024-10-23","noUsgsAuthors":false,"publicationDate":"2024-10-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Kirkeeng, Courtney A. 0000-0002-7141-1216","orcid":"https://orcid.org/0000-0002-7141-1216","contributorId":237026,"corporation":false,"usgs":true,"family":"Kirkeeng","given":"Courtney","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":916549,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luoma, James A. 0000-0003-3556-0190 jluoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3556-0190","contributorId":4449,"corporation":false,"usgs":true,"family":"Luoma","given":"James","email":"jluoma@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":916550,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schloesser, Nicholas 0000-0002-3815-5302","orcid":"https://orcid.org/0000-0002-3815-5302","contributorId":237025,"corporation":false,"usgs":true,"family":"Schloesser","given":"Nicholas","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":916551,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schueller, Justin R. 0000-0002-7102-3889","orcid":"https://orcid.org/0000-0002-7102-3889","contributorId":213527,"corporation":false,"usgs":true,"family":"Schueller","given":"Justin","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":916552,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kaye, Cheryl","contributorId":167292,"corporation":false,"usgs":false,"family":"Kaye","given":"Cheryl","affiliations":[{"id":6599,"text":"U.S. Fish and Wildlife Service, Marquette Biological Station","active":true,"usgs":false}],"preferred":false,"id":916553,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70261270,"text":"70261270 - 2024 - Dynamics and detection of pulsed tremor at Whakaari (White Island), Aotearoa New Zealand","interactions":[],"lastModifiedDate":"2024-12-04T16:13:46.785162","indexId":"70261270","displayToPublicDate":"2024-10-23T09:40:15","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Dynamics and detection of pulsed tremor at Whakaari (White Island), Aotearoa New Zealand","docAbstract":"

Volcanic tremor is a crucial indicator for assessing the state and hazard potential of volcanic systems. At Whakaari (White Island volcano, Aotearoa New Zealand), a pulsed tremor signal emerged after a hydrothermal explosion in August 2012. The tremor accompanied the extrusion of a lava dome, before gradually disappearing prior to the onset of renewed hydrothermal activity in January 2013. We interpret this seismic signal to represent discrete gas transfers from a magmatic intrusion toward a permeable cap—possibly a hydrothermal seal—in the upper layers of Whakaari's hydrothermal system. Such tremor may thus be associated with heightened potential for hazardous explosive activity but is difficult to detect using conventional seismic monitoring parameters. To highlight the emergence of subtle periodic signals, we experiment with Lomb-Scargle periodograms (LS). LS detect the tremor 5 days before it becomes visible in seismograms, thus facilitating the recognition of such elusive seismic patterns.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024GL110447","usgsCitation":"Steinke, B., Jolly, A., Girona, T., Caudron, C., Bramwell, L., Cronin, S., Illsley-Kemp, F., and Hughes, E., 2024, Dynamics and detection of pulsed tremor at Whakaari (White Island), Aotearoa New Zealand: Geophysical Research Letters, v. 51, no. 20, e2024GL110447, 11 p., https://doi.org/10.1029/2024GL110447.","productDescription":"e2024GL110447, 11 p.","ipdsId":"IP-166631","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":466828,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024gl110447","text":"Publisher Index Page"},{"id":464754,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Aotearoa New Zealand","otherGeospatial":"Whakaari (White Island)","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 177.16341721111246,\n -37.50846118822045\n ],\n [\n 177.16341721111246,\n -37.53175709602028\n ],\n [\n 177.1990707944111,\n -37.53175709602028\n ],\n [\n 177.1990707944111,\n -37.50846118822045\n ],\n [\n 177.16341721111246,\n -37.50846118822045\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"51","issue":"20","noUsgsAuthors":false,"publicationDate":"2024-10-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Steinke, B.","contributorId":346902,"corporation":false,"usgs":false,"family":"Steinke","given":"B.","affiliations":[{"id":83012,"text":"U Auckland","active":true,"usgs":false}],"preferred":false,"id":920171,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jolly, A.D. 0000-0003-1020-9062","orcid":"https://orcid.org/0000-0003-1020-9062","contributorId":296487,"corporation":false,"usgs":true,"family":"Jolly","given":"A.D.","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":920172,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Girona, T.","contributorId":346903,"corporation":false,"usgs":false,"family":"Girona","given":"T.","affiliations":[{"id":83014,"text":"U. Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":920173,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caudron, C.","contributorId":346904,"corporation":false,"usgs":false,"family":"Caudron","given":"C.","affiliations":[{"id":83015,"text":"WEL Research Institute","active":true,"usgs":false}],"preferred":false,"id":920174,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bramwell, L.A.","contributorId":346905,"corporation":false,"usgs":false,"family":"Bramwell","given":"L.A.","email":"","affiliations":[{"id":56217,"text":"Victoria University of Wellington","active":true,"usgs":false}],"preferred":false,"id":920175,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cronin, S.J.","contributorId":346906,"corporation":false,"usgs":false,"family":"Cronin","given":"S.J.","email":"","affiliations":[{"id":38833,"text":"University of Auckland","active":true,"usgs":false}],"preferred":false,"id":920176,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Illsley-Kemp, F.","contributorId":346907,"corporation":false,"usgs":false,"family":"Illsley-Kemp","given":"F.","email":"","affiliations":[{"id":56217,"text":"Victoria University of Wellington","active":true,"usgs":false}],"preferred":false,"id":920177,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hughes, E.C.","contributorId":346908,"corporation":false,"usgs":false,"family":"Hughes","given":"E.C.","email":"","affiliations":[{"id":36277,"text":"GNS Science","active":true,"usgs":false}],"preferred":false,"id":920178,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70260962,"text":"70260962 - 2024 - Increased pathogen exposure of a marine apex predator over three decades","interactions":[],"lastModifiedDate":"2024-11-21T14:26:02.629","indexId":"70260962","displayToPublicDate":"2024-10-23T09:03:53","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Increased pathogen exposure of a marine apex predator over three decades","docAbstract":"

Environmental changes associated with global warming create new opportunities for pathogen and parasite transmission in Arctic wildlife. As an apex predator ranging over large, remote areas, changes in pathogens and parasites in polar bears are a useful indicator of changing transmission dynamics in Arctic ecosystems. We examined prevalence and risk factors associated with exposure to parasites and viral and bacterial pathogens in Chukchi Sea polar bears. Serum antibodies to six pathogens were detected and prevalence increased between 1987–1994 and 2008–2017 for five: Toxoplasma gondii, Neospora caninum, Francisella tularensis, Brucella abortus/suis, and canine distemper virus. Although bears have increased summer land use, this behavior was not associated with increased exposure. Higher prevalence of F. tularensis, C. burnetii, and B. abortus/suis antibodies in females compared to males, however, could be associated with terrestrial denning. Exposure was related to diet for several pathogens indicating increased exposure in the food web. Elevated white blood cell counts suggest a possible immune response to some pathogens. Given that polar bears face multiple stressors in association with climate change and are a subsistence food, further work is warranted to screen for signs of disease.

","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0310973","usgsCitation":"Rode, K.D., Van Hemert, C.R., Wilson, R., Woodruff, S.P., Pabilonia, K., Ballweber, L., Kwok, O.C., and Dubey, J.P., 2024, Increased pathogen exposure of a marine apex predator over three decades: PLoS ONE, v. 19, no. 10, e0310973, 23 p., https://doi.org/10.1371/journal.pone.0310973.","productDescription":"e0310973, 23 p.","ipdsId":"IP-157979","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":466829,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0310973","text":"Publisher Index Page"},{"id":464230,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia, United States","state":"Alaska","otherGeospatial":"Chukchi Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -179.9,\n 71.84652533838894\n ],\n [\n -179.9,\n 62.65843398815909\n ],\n [\n -163.36396397668733,\n 62.65843398815909\n ],\n [\n -163.36396397668733,\n 71.84652533838894\n ],\n [\n -179.9,\n 71.84652533838894\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"19","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-10-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"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":918705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Hemert, Caroline R. 0000-0002-6858-7165 cvanhemert@usgs.gov","orcid":"https://orcid.org/0000-0002-6858-7165","contributorId":3592,"corporation":false,"usgs":true,"family":"Van Hemert","given":"Caroline","email":"cvanhemert@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":918706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Ryan R. ","contributorId":222456,"corporation":false,"usgs":false,"family":"Wilson","given":"Ryan R. ","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":918707,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woodruff, Susannah P.","contributorId":292629,"corporation":false,"usgs":false,"family":"Woodruff","given":"Susannah","email":"","middleInitial":"P.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":918708,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pabilonia, Kristy 0000-0001-7741-8497","orcid":"https://orcid.org/0000-0001-7741-8497","contributorId":316250,"corporation":false,"usgs":false,"family":"Pabilonia","given":"Kristy","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":918709,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ballweber, Lora","contributorId":328970,"corporation":false,"usgs":false,"family":"Ballweber","given":"Lora","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":918710,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kwok, Oliver C.","contributorId":167593,"corporation":false,"usgs":false,"family":"Kwok","given":"Oliver","email":"","middleInitial":"C.","affiliations":[{"id":24764,"text":"US Department of Agriculture, Agricultural Research Service, Animal Parasitic Diseases Laboratory, Beltsville, MD, 20705-2350","active":true,"usgs":false}],"preferred":false,"id":918711,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dubey, Jitender P","contributorId":199058,"corporation":false,"usgs":false,"family":"Dubey","given":"Jitender","email":"","middleInitial":"P","affiliations":[],"preferred":false,"id":918712,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70263724,"text":"70263724 - 2024 - A habitat suitability model for testing and refining the range of Zuni fleabane, a threatened plant species","interactions":[],"lastModifiedDate":"2025-02-20T14:32:28.399001","indexId":"70263724","displayToPublicDate":"2024-10-23T08:28:42","publicationYear":"2024","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":18754,"text":"EcoEvoRxiv","active":true,"publicationSubtype":{"id":32}},"title":"A habitat suitability model for testing and refining the range of Zuni fleabane, a threatened plant species","docAbstract":"

Land managers and conservation practitioners need practical tools to protect rare species in light of rapidly changing climate and land use patterns. Habitat suitability models are tools that can inform multiple-use land management decisions and target conservation actions. The narrow endemic Zuni fleabane, Erigeron rhizomatus, occurs on lands managed for multiple uses and was listed as threatened under the Endangered Species Act in 1985 due to the main threat of surface mining. Despite intermittent surveys in recent decades, managers still do not have a comprehensive understanding of suitable habitat characteristics or the geographic extent of suitable habitat across its range. We developed and field-validated a habitat suitability model for Zuni fleabane using an iterative, ensemble approach. We tested the null hypothesis that the model would not identify major new populations outside the known range but rather assist in refining the boundaries of known suitable habitat. We also set out to improve our understanding of biotic and abiotic characteristics that define suitable habitat across geographically distant metapopulations. Our model identified areas with low, medium, high, and very high probability of containing suitable habitat. We identified a new metapopulation beyond the three known (disproving our null hypothesis) as well as additional suitable habitat within the previously known regions. This model predicts where Zuni fleabane habitat likely occurs and may help land managers and conservation practitioners identify new populations, survey habitat at fine scales, avoid impacts from multiple-use management activities, and recover this threatened species.

","language":"English","publisher":"EcoEvoRxiv","doi":"10.32942/X2CG98","usgsCitation":"Jarnevich, C.S., Carter, S.K., Chavez, A., Handley, P., Hayes, B., Hayes, C., Reimer, C., Reiss, S., Rowe, E., Sandbom, K., and Whipple, S.E., 2024, A habitat suitability model for testing and refining the range of Zuni fleabane, a threatened plant species: EcoEvoRxiv, https://doi.org/10.32942/X2CG98.","productDescription":"35 p.","ipdsId":"IP-171082","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":489766,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.32942/x2cg98","text":"Publisher Index Page"},{"id":482258,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":927953,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carter, Sarah K. 0000-0003-3778-8615","orcid":"https://orcid.org/0000-0003-3778-8615","contributorId":192418,"corporation":false,"usgs":true,"family":"Carter","given":"Sarah","email":"","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":927954,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chavez, Andrea N.","contributorId":346488,"corporation":false,"usgs":false,"family":"Chavez","given":"Andrea N.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":927955,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Handley, Paige E.","contributorId":346489,"corporation":false,"usgs":false,"family":"Handley","given":"Paige E.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":927956,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hayes, Brandon","contributorId":337154,"corporation":false,"usgs":false,"family":"Hayes","given":"Brandon","email":"","affiliations":[{"id":80983,"text":"Student Services Contractor to USGS FORT","active":true,"usgs":false}],"preferred":false,"id":927957,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hayes, Charles L.","contributorId":328698,"corporation":false,"usgs":false,"family":"Hayes","given":"Charles L.","affiliations":[{"id":78463,"text":"NM Dept. of Game & Fish","active":true,"usgs":false}],"preferred":false,"id":927958,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reimer, Cameron Joseph 0000-0002-2058-0538","orcid":"https://orcid.org/0000-0002-2058-0538","contributorId":346490,"corporation":false,"usgs":true,"family":"Reimer","given":"Cameron Joseph","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":927959,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reiss, Samantha L.","contributorId":346491,"corporation":false,"usgs":false,"family":"Reiss","given":"Samantha L.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":927960,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rowe, Erika R.","contributorId":346492,"corporation":false,"usgs":false,"family":"Rowe","given":"Erika R.","affiliations":[{"id":82880,"text":"New Mexico Energy Minerals and Natural Resources Department","active":true,"usgs":false}],"preferred":false,"id":927961,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sandbom, Katie L.","contributorId":346493,"corporation":false,"usgs":false,"family":"Sandbom","given":"Katie L.","affiliations":[{"id":27594,"text":"Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":927962,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Whipple, Sarah E. 0000-0001-9280-1195","orcid":"https://orcid.org/0000-0001-9280-1195","contributorId":343558,"corporation":false,"usgs":true,"family":"Whipple","given":"Sarah","email":"","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":927963,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70257873,"text":"70257873 - 2024 - Defining the pathobiomes associated with drippy blight in Colorado and drippy nut in California","interactions":[],"lastModifiedDate":"2024-12-26T16:38:12.139853","indexId":"70257873","displayToPublicDate":"2024-10-23T07:04:10","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18359,"text":"PhytoFrontiers","active":true,"publicationSubtype":{"id":10}},"title":"Defining the pathobiomes associated with drippy blight in Colorado and drippy nut in California","docAbstract":"

Drippy blight, an emergent bacterial disease of oaks, was described recently from urban oaks in the Front Range of Colorado, U.S.A. This disease, which causes branch dieback and oozing of bacterial exudates from cankers, is caused by Lonsdalea quercina and primarily affects red oaks, with northern red oak (Quercus rubra) being the most susceptible. Drippy nut is a similar, less acute condition that exists in California, U.S.A., and affects acorns of interior live oak (Q. wislizenii) and coastal live oak (Q. agrifolia). The objective of this study was to compare the microbial communities of drippy blight in Colorado to those of drippy nut in California and to determine whether other pathogenic fungal or bacterial taxa are associated with the diseases. Symptomatic and asymptomatic tissues were sampled in California and Colorado, and metagenomic analyses were performed to describe the fungal and bacterial communities. We found a suite of bacterial species, dominated by taxa within the genus Zymobacter, that were associated with symptomatic tissues for both drippy nut and drippy blight. L. quercina is the main pathogenic associate of both diseases. We found fungal yeasts associated with symptomatic tissues, and although not pathogens, these taxa were present in the pathobiome of drippy nut and drippy blight in California and Colorado. We did, however, identify taxa belonging to Gnomoniopsis, a known pathogen, associated with California symptomatic samples. Our study found an overlapping suite of bacterial associates of drippy blight and drippy nut, though more variation occurred within the fungal genera associated with these oak diseases.

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\"}}]}","volume":"4","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Raymond, Hope","contributorId":343726,"corporation":false,"usgs":false,"family":"Raymond","given":"Hope","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":911885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sitz, Rachael","contributorId":343728,"corporation":false,"usgs":false,"family":"Sitz","given":"Rachael","email":"","affiliations":[{"id":82174,"text":"Davey Resource Group","active":true,"usgs":false}],"preferred":false,"id":911886,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pearse, Ian S. 0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":216680,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":911887,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ibarra, Jorge Caballero","contributorId":343729,"corporation":false,"usgs":false,"family":"Ibarra","given":"Jorge","email":"","middleInitial":"Caballero","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":911888,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lalande, Brad","contributorId":343731,"corporation":false,"usgs":false,"family":"Lalande","given":"Brad","email":"","affiliations":[{"id":82176,"text":"US Forest Service, FHP","active":true,"usgs":false}],"preferred":false,"id":911889,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stewart, Jane","contributorId":343732,"corporation":false,"usgs":false,"family":"Stewart","given":"Jane","email":"","affiliations":[{"id":80402,"text":"Colorado State U","active":true,"usgs":false}],"preferred":false,"id":911890,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70259765,"text":"70259765 - 2024 - Software application for spectral mixture analysis for surveillance of harmful algal blooms (SMASH): A tool for identifying cyanobacteria genera from remotely sensed data","interactions":[],"lastModifiedDate":"2024-10-24T11:58:53.097205","indexId":"70259765","displayToPublicDate":"2024-10-23T06:57:17","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18753,"text":"Journal of Open Research Software (JORS)","active":true,"publicationSubtype":{"id":10}},"title":"Software application for spectral mixture analysis for surveillance of harmful algal blooms (SMASH): A tool for identifying cyanobacteria genera from remotely sensed data","docAbstract":"

Remote sensing is often used to detect algae, but standard techniques do not provide information on the types of algae present or their potential to form a harmful algal bloom (HAB). We developed a framework for identifying algal genera based on reflectance: SMASH, short for Spectral Mixture Analysis for Surveillance of HABs. The Software Application for SMASH (SAS) was developed in MATLAB and makes use of a Multiple Endmember Spectral Mixture Analysis (MESMA) algorithm implemented in Python but packaged as a standalone executable. SAS includes functions for importing hyperspectral images, resampling spectral libraries, evaluating endmember spectral separability, performing MESMA, and generating various output data products.

","language":"English","publisher":"Ubiquity Press","doi":"10.5334/jors.499","usgsCitation":"Legleiter, C.J., and King, T.V., 2024, Software application for spectral mixture analysis for surveillance of harmful algal blooms (SMASH): A tool for identifying cyanobacteria genera from remotely sensed data: Journal of Open Research Software (JORS), v. 12, no. 1, 17 p., https://doi.org/10.5334/jors.499.","productDescription":"17 p.","ipdsId":"IP-160472","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":466830,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5334/jors.499","text":"Publisher Index Page"},{"id":463141,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":916628,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Tyler V. 0000-0002-5785-3077","orcid":"https://orcid.org/0000-0002-5785-3077","contributorId":292424,"corporation":false,"usgs":true,"family":"King","given":"Tyler","middleInitial":"V.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":916629,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70259675,"text":"ofr20241046 - 2024 - Lidar estimation of storage capacity for managed water resources used by Desert Bighorn Sheep (Ovis canadensis mexicana) at Cabeza Prieta National Wildlife Refuge, Arizona","interactions":[],"lastModifiedDate":"2025-12-22T20:10:11.238295","indexId":"ofr20241046","displayToPublicDate":"2024-10-22T14:07:11","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1046","displayTitle":"Lidar Estimation of Storage Capacity for Managed Water Resources Used by Desert Bighorn Sheep (Ovis canadensis mexicana) at Cabeza Prieta National Wildlife Refuge, Arizona","title":"Lidar estimation of storage capacity for managed water resources used by Desert Bighorn Sheep (Ovis canadensis mexicana) at Cabeza Prieta National Wildlife Refuge, Arizona","docAbstract":"

In cooperation with the U.S. Fish and Wildlife Service, the U.S. Geological Survey Southwest Biological Science Center employed ground-based light detection and ranging (lidar) during February 2022 to help meet two resource management objectives at the Cabeza Prieta National Wildlife Refuge (CPNWR), Arizona. The two objectives are (1) characterize the water storage capacity for one developed and two modified tanks, which are bedrock catchments also referred to as tinajas, that are important water sources for desert bighorn sheep (Ovis canadensis mexicana) in designated wilderness at the CPNWR; and (2) develop a stage-storage model to estimate water volumes from monitoring observations of water surface levels in each tank. We measured storage capacity for the three tanks identified by refuge managers, Buckhorn, Senita, and Eagle, using ground-based lidar collected during February 2022. These data produced high-resolution (centimeter scale) topographic models that improved estimates of maximum water storage capacity over previous geometry-based estimates, permitting estimations of storage capacity at multiple water surface levels (stage heights). We found that the maximum water storage capacity for the Buckhorn, Senita, and Eagle tanks was 9,108.730, 8,623.308, and 6,039.603 US gallons (gal), respectively. For each tank we report a stage-storage model based on a polynomial function that best explained variability in water storage capacity as a function of water stage height. The results presented herein will permit the CPNWR managers to (1) easily estimate water available for wildlife at any point of time, (2) interpret tank recharge following rainstorms, and (3) decide whether and when to transport water via vehicles to mechanically refill the tanks in designated wilderness.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241046","collaboration":"Prepared in cooperation with U.S. Fish and Wildlife Service","usgsCitation":"Sankey, J.B., Caster, J., Bransky, N., Fuest, S., Sesnie, S., and Bedford, A., 2024, Lidar estimation of storage capacity for managed water resources used by desert bighorn sheep (Ovis canadensis mexicana) at Cabeza Prieta National Wildlife Refuge, Arizona: U.S. Geological Survey Open-File Report 2024–1046, 51 p., https://doi.org/10.3133/ofr20241046.","productDescription":"Report: viii, 51 p.; Data Release","numberOfPages":"51","onlineOnly":"Y","ipdsId":"IP-147780","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":497879,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117733.htm","linkFileType":{"id":5,"text":"html"}},{"id":463012,"rank":6,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1046/images"},{"id":463011,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241046/full"},{"id":463010,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1046/ofr20241046.xml"},{"id":463009,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1046/ofr20241046.pdf","text":"Report","size":"15 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":463008,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1046/covrthb.jpg"},{"id":463007,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9U6UYA0","description":"Caster, J., Bransky, N., Sankey, J.B., Doerries, S., Sesnie, S., and Bedford, A., 2024, Data collected for estimation of storage capacity at managed water resources used by Desert Bighorn Sheep in Cabeza Prieta National Wildlife Refuge, Arizona, February 2022: U.S. Geological Survey data release, https://doi.org/10.5066/P9U6UYA0.","linkHelpText":"Data collected for estimation of storage capacity at managed water resources used by Desert Bighorn Sheep in Cabeza Prieta National Wildlife Refuge, Arizona, February 2022"}],"country":"United States","state":"Arizona","otherGeospatial":"Cabeza Prieta National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.06241638536036,\n 32.216227063899524\n ],\n [\n -112.99182918961803,\n 31.87845678988026\n ],\n [\n -112.99601272237372,\n 32.134724889538845\n ],\n [\n -112.83497036004906,\n 32.13248007225823\n ],\n [\n -112.80727933959541,\n 32.37642090886048\n ],\n [\n -112.77701599473573,\n 32.66128486132219\n ],\n [\n -113.26041443223556,\n 32.66128486132219\n ],\n [\n -113.24942810411025,\n 32.550226527248725\n ],\n [\n -114.07340271348566,\n 32.540965452607495\n ],\n [\n -114.06241638536036,\n 32.216227063899524\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Southwest Biological Science Center
U.S. Geological Survey
2255 N. Gemini Drive
Flagstaff, AZ 86001

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2024-10-22","noUsgsAuthors":false,"publicationDate":"2024-10-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Sankey, Joel B. 0000-0003-3150-4992","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":261248,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":916214,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caster, Joshua 0000-0002-2858-1228 jcaster@usgs.gov","orcid":"https://orcid.org/0000-0002-2858-1228","contributorId":199033,"corporation":false,"usgs":true,"family":"Caster","given":"Joshua","email":"jcaster@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":916215,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bransky, Nathaniel 0000-0003-3113-7491","orcid":"https://orcid.org/0000-0003-3113-7491","contributorId":305709,"corporation":false,"usgs":true,"family":"Bransky","given":"Nathaniel","email":"","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":916216,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuest, Stephanie","contributorId":336623,"corporation":false,"usgs":false,"family":"Fuest","given":"Stephanie","email":"","affiliations":[{"id":80806,"text":"U.S. Fish and Wildlife Service, Cabeza Prieta National Wildlife Refuge, Ajo, AZ, USA","active":true,"usgs":false}],"preferred":true,"id":916217,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sesnie, Steven","contributorId":239687,"corporation":false,"usgs":false,"family":"Sesnie","given":"Steven","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":true,"id":916218,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bedford, Ashton","contributorId":173298,"corporation":false,"usgs":false,"family":"Bedford","given":"Ashton","email":"","affiliations":[{"id":27207,"text":"NAU and NPS","active":true,"usgs":false}],"preferred":false,"id":916219,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70265971,"text":"70265971 - 2024 - Thinking beyond the closure assumption: Designing surveys for estimating biological truth with occupancy models","interactions":[],"lastModifiedDate":"2025-04-22T17:44:22.508598","indexId":"70265971","displayToPublicDate":"2024-10-22T12:41:25","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Thinking beyond the closure assumption: Designing surveys for estimating biological truth with occupancy models","docAbstract":"
  1. Occupancy models estimate distributions of imperfectly detected species, but violations of the closure assumption can bias results. However, researchers working with mobile animals may find it impossible to eliminate such violations. Here, we tested the hypothesis that occupancy models fit to realistic sampling data can generate unbiased occupancy estimates for an itinerant Wood Thrush (Hylocichla mustelina) population.
  2. In 2013 and 2014, we tracked movements of 41 breeding Wood Thrush males. We modelled territory shift probabilities using logistic exposure models and within-territory movements using continuous-time stochastic process models. We then constructed an individual-based model, simulated (1000 iterations) spatiotemporal locations for individuals and simulated sampling these populations using 162 different point count protocols with variable spatial (sampling radius and point placement method), and temporal (survey length, between-survey intervals and number of surveys) characteristics. We compared occupancy estimates with true values of instantaneous, daily and seasonal occupancy from the simulations.
  3. We parameterized continuous time stochastic process models based on movements within 34 unique territories and estimated a daily territory shift probability of 0.0099 (95% CI: 0.0060, 0.0152). Simulated data indicated that estimates of occupancy ranged from 0.18 (0.06, 1.00) to 0.80 (0.71, 0.89) depending on protocol characteristics. Occupancy estimates increased with increasing survey radius, survey length and between-survey interval. Protocols using shorter surveys and between-survey intervals were good estimators for instantaneous occupancy (low bias and mean-squared error) but poor estimators for daily and seasonal occupancy; longer surveys and intervals generated unbiased estimators of daily occupancy but underestimated seasonal occupancy. Logistic regression models that ignored imperfect detection outperformed occupancy models for estimating instantaneous occupancy but not daily or seasonal occupancy.
  4. For mobile animals, occupancy of sampling sites changes in space and time. Consequently, the spatial and temporal aspects of a sampling protocol have strong, but predictable, effects on occupancy model parameter estimates. Our results demonstrate that how these factors interact is critical for designing surveys that produce occupancy estimates representative of the biological process of interest to a researcher.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.14439","usgsCitation":"Valente, J., Jirinec, V., and Leu, M., 2024, Thinking beyond the closure assumption: Designing surveys for estimating biological truth with occupancy models: Methods in Ecology and Evolution, v. 15, no. 12, p. 2289-2300, https://doi.org/10.1111/2041-210X.14439.","productDescription":"12 p.","startPage":"2289","endPage":"2300","ipdsId":"IP-160598","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":488491,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.14439","text":"Publisher Index Page"},{"id":484858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"12","noUsgsAuthors":false,"publicationDate":"2024-10-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Valente, Jonathon Joseph 0000-0002-6519-3523","orcid":"https://orcid.org/0000-0002-6519-3523","contributorId":340615,"corporation":false,"usgs":true,"family":"Valente","given":"Jonathon Joseph","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":934205,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jirinec, Vitek","contributorId":353638,"corporation":false,"usgs":false,"family":"Jirinec","given":"Vitek","affiliations":[{"id":27598,"text":"Integral Ecology Research Center","active":true,"usgs":false}],"preferred":false,"id":934206,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leu, Matthias","contributorId":353639,"corporation":false,"usgs":false,"family":"Leu","given":"Matthias","affiliations":[{"id":6686,"text":"College of William and Mary","active":true,"usgs":false}],"preferred":false,"id":934207,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70204905,"text":"70204905 - 2024 - Amphibian monitoring in hardwood forests: Optimizing methods for contaminant‐based compensatory restorations","interactions":[],"lastModifiedDate":"2024-10-23T15:46:04.499216","indexId":"70204905","displayToPublicDate":"2024-10-22T11:18:59","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":"Amphibian monitoring in hardwood forests: Optimizing methods for contaminant‐based compensatory restorations","docAbstract":"

Amphibians such as frogs, toads, and salamanders provide important services in aquatic and terrestrial ecosystems and have been proposed as useful indicators of progress and success for ecological restoration projects. Limited guidance is available, however, on the costs and benefits of different amphibian monitoring techniques that might be applied to sites restored in compensation for contaminant injury. We used a variety of methods to document the amphibian communities present at 4 restored bottomland hardwood sites in Indiana, USA, and to compare the information return and cost of each method. For 1 method—automated recording units—we also modeled the effect of varying levels of sampling effort on the number of species detected, using sample-based rarefaction and Bayesian nonlinear (Michaelis–Menten) mixed effects models. We detected 13 amphibian species across the restored sites, including 2 species of conservation concern in Indiana—northern leopard frogs (Lithobates pipiens) and Blanchard's cricket frogs (Acris blanchardi). Sites across a range of restoration ages demonstrated encouraging returns of amphibian communities. Although more mature sites showed greater species richness, recently restored sites still provided important habitat for amphibians, including species of conservation concern. Among the 4 methods compared, amphibian rapid assessment yielded the highest number of species detected and the greatest catch per unit effort, with the lowest per-site cost. Our analysis of level-of-effort effects in the rarefied acoustic data found that number of nights sampled was a better predictor of observed species richness than the number of hours sampled within a night or minutes sampled within an hour. These data will assist restoration practitioners in selecting amphibian monitoring methods appropriate for their site characteristics and budget.

","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/ieam.4202","usgsCitation":"Kunz, B.K., Waddle, H., and Green, N., 2024, Amphibian monitoring in hardwood forests: Optimizing methods for contaminant‐based compensatory restorations: Integrated Environmental Assessment and Management, v. 20, no. 6, p. 1939-1953, https://doi.org/10.1002/ieam.4202.","productDescription":"15 p.; Data Release","startPage":"1939","endPage":"1953","ipdsId":"IP-105759","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":466831,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ieam.4202","text":"Publisher Index Page"},{"id":437373,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9SFRUZJ","text":"USGS data release","linkHelpText":"Amphibian monitoring data collected from Indiana hardwood forests, 2015-2016"},{"id":366853,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Indiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.78125,\n 40.613952441166596\n ],\n [\n -84.825439453125,\n 40.613952441166596\n ],\n [\n -84.825439453125,\n 41.74672584176937\n ],\n [\n -85.78125,\n 41.74672584176937\n ],\n [\n -85.78125,\n 40.613952441166596\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"6","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Kunz, Bethany K. 0000-0002-7193-9336 bkunz@usgs.gov","orcid":"https://orcid.org/0000-0002-7193-9336","contributorId":3798,"corporation":false,"usgs":true,"family":"Kunz","given":"Bethany","email":"bkunz@usgs.gov","middleInitial":"K.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":768967,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waddle, Hardin 0000-0003-1940-2133","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":201976,"corporation":false,"usgs":true,"family":"Waddle","given":"Hardin","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":768968,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Green, Nicholas S. 0000-0002-8538-4191","orcid":"https://orcid.org/0000-0002-8538-4191","contributorId":202040,"corporation":false,"usgs":true,"family":"Green","given":"Nicholas S.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":768969,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70262433,"text":"70262433 - 2024 - Paddlefish movement and dam passage in the Ohio and Kanawha Rivers, West Virginia","interactions":[],"lastModifiedDate":"2025-01-23T16:08:17.12411","indexId":"70262433","displayToPublicDate":"2024-10-22T10:04:14","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5132,"text":"Proceedings of the West Virginia Academy of Science","active":true,"publicationSubtype":{"id":10}},"title":"Paddlefish movement and dam passage in the Ohio and Kanawha Rivers, West Virginia","docAbstract":"

The Paddlefish (Polyodon spathula), a large-bodied and highly migratory species of large river systems, has experienced population declines or extirpation in parts of its native range. As an effort to reestablish a Paddlefish population in the Ohio River of West Virginia, the West Virginia Division of Natural Resources has stocked fingerling Paddlefish in the previous two decades. Post-stocking studies could assess the status of the reintroduced population, which includes collecting information on their seasonal movements and dam passage frequency through navigation dams of the Ohio and Kanawha Rivers. Using acoustic telemetry techniques, we monitored seasonal movements and assessed dam passage of five Paddlefish in the Robert C. Byrd Pool of the Ohio and Kanawha rivers. Paddlefish were highly mobile with two individuals using the entire R.C. Byrd Pool during the 11-month study period. Most movements occurred during the expected spawning period of April and May, where all individuals frequented the upper section of the pool in the Kanawha River. Downstream passage was documented for one individual at the R.C. Byrd lock during July 2023, but no evidence of upstream passage was documented for the locks at Racine (Ohio River) or Winfield (Kanawha River). Tagging of additional Paddlefish would be beneficial to increase sample size for future assessments and continue efforts toward the long-term conservation and management of Ohio River Paddlefish.

","language":"English","publisher":"West Virginia Academy of Sciences","doi":"10.55632/pwvas.v96i2.1103","usgsCitation":"Welsh, S.A., Zipfel, K., Peters, A., Hoffman, D., and Layne, C., 2024, Paddlefish movement and dam passage in the Ohio and Kanawha Rivers, West Virginia: Proceedings of the West Virginia Academy of Science, v. 96, no. 2, p. 12-19, https://doi.org/10.55632/pwvas.v96i2.1103.","productDescription":"8 p.","startPage":"12","endPage":"19","ipdsId":"IP-170455","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481055,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.55632/pwvas.v96i2.1103","text":"Publisher Index Page"},{"id":481001,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Kanawha River, Ohio River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.21695486577521,\n 39.07404804048838\n ],\n [\n -82.21695486577521,\n 38.587909019086965\n ],\n [\n -81.81391593714665,\n 38.587909019086965\n ],\n [\n -81.81391593714665,\n 39.07404804048838\n ],\n [\n -82.21695486577521,\n 39.07404804048838\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"96","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-10-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Welsh, Stuart A. 0000-0003-0362-054X","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":217037,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart","email":"","middleInitial":"A.","affiliations":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924186,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zipfel, Katherine J.","contributorId":349275,"corporation":false,"usgs":false,"family":"Zipfel","given":"Katherine J.","affiliations":[{"id":40299,"text":"West Virginia Division of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":924187,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peters, Andrew W.","contributorId":349277,"corporation":false,"usgs":false,"family":"Peters","given":"Andrew W.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":924188,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hoffman, David C.","contributorId":349279,"corporation":false,"usgs":false,"family":"Hoffman","given":"David C.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":924189,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Layne, Cameron M.","contributorId":349281,"corporation":false,"usgs":false,"family":"Layne","given":"Cameron M.","affiliations":[{"id":40299,"text":"West Virginia Division of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":924190,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70263794,"text":"70263794 - 2024 - Climatic drought and trophic disruption in an endemic subalpine Hawaiian forest bird","interactions":[],"lastModifiedDate":"2025-02-24T15:27:11.563129","indexId":"70263794","displayToPublicDate":"2024-10-22T09:23:30","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Climatic drought and trophic disruption in an endemic subalpine Hawaiian forest bird","docAbstract":"
Overexploitation, habitat conversion, and introduced species have caused unprecedented extinctions and heavily degraded native bird populations in island ecosystems. In the Hawaiian Islands, stemming these losses has proven difficult as the highly specialized avifauna are often impacted – among other things – by poorly understood trophic disruptions as well as persistent climatic shifts. Here we investigate these dynamics by examining the trophic positions of 7 different taxa of producers and consumers across the last century in the subalpine māmane (Sophora chrysophylla) forest ecosystem on the island of Hawaiʻi. From museum collections and contemporary sampling, we analyzed the stable nitrogen (δ15N) values of producers and consumers to identify trophic and source amino acids and derive trophic enrichment constants specific to this food web. This enables us to reconstruct the diet of the palila (Loxioides bailleui), a critically endangered finch whose population recently declined 90 %. Our results show that from 1890 to 2006, the palila trophic position declined from 2.6 to 2.2, with cascading implications for its diet. Bayesian mixing model reconstructions indicate that palila trophic position changes likely arose from a 76 % decline (69.3 % to 16.6 % of diet) in the consumption of native moth caterpillars, and a 172 % increase (30.7 % to 83.4 %) in native plants. From the available ecosystem variables, exploratory Bayesian multiple regressions selected surface temperature changes, and the interactions of surface temperatures with drought and caterpillar parasitism as the primary drivers of these trophic changes. Despite the predicted increases of warming and drought, management interventions may build resiliency in this unique island ecosystem.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2024.110823","usgsCitation":"Van Houtan, K.S., Gagné, T., Banko, P.C., Hagemann, M., Peck, R., and Yarnes, C.T., 2024, Climatic drought and trophic disruption in an endemic subalpine Hawaiian forest bird: Biological Conservation, v. 299, 110823, 9 p., https://doi.org/10.1016/j.biocon.2024.110823.","productDescription":"110823, 9 p.","ipdsId":"IP-080109","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":482375,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Mauna Kea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.57823862246346,\n 19.904330514619744\n ],\n [\n -155.57823862246346,\n 19.730854725238757\n ],\n [\n -155.36585210018677,\n 19.730854725238757\n ],\n [\n -155.36585210018677,\n 19.904330514619744\n ],\n [\n -155.57823862246346,\n 19.904330514619744\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"299","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Van Houtan, Kyle S.","contributorId":339177,"corporation":false,"usgs":false,"family":"Van Houtan","given":"Kyle","email":"","middleInitial":"S.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":928311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gagné, Tyler O.","contributorId":351280,"corporation":false,"usgs":false,"family":"Gagné","given":"Tyler O.","affiliations":[{"id":6953,"text":"Monterey Bay Aquarium","active":true,"usgs":false}],"preferred":false,"id":928312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Banko, Paul C. 0000-0002-6035-9803 pbanko@usgs.gov","orcid":"https://orcid.org/0000-0002-6035-9803","contributorId":3179,"corporation":false,"usgs":true,"family":"Banko","given":"Paul","email":"pbanko@usgs.gov","middleInitial":"C.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":928313,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hagemann, Molly E.","contributorId":351281,"corporation":false,"usgs":false,"family":"Hagemann","given":"Molly E.","affiliations":[{"id":34926,"text":"Bishop Museum","active":true,"usgs":false}],"preferred":false,"id":928314,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peck, Robert W. 0000-0002-8739-9493","orcid":"https://orcid.org/0000-0002-8739-9493","contributorId":193088,"corporation":false,"usgs":false,"family":"Peck","given":"Robert W.","affiliations":[],"preferred":false,"id":928315,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yarnes, Christopher T.","contributorId":190916,"corporation":false,"usgs":false,"family":"Yarnes","given":"Christopher","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":928316,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70261384,"text":"70261384 - 2024 - Predicted occurrence of Eastern Newts (Notophthalmus viridescens viridescens) across the northeastern United States","interactions":[],"lastModifiedDate":"2024-12-06T14:53:40.305095","indexId":"70261384","displayToPublicDate":"2024-10-22T08:51:14","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1892,"text":"Herpetologica","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Predicted occurrence of Eastern Newts (Notophthalmus viridescens viridescens) across the northeastern United States","title":"Predicted occurrence of Eastern Newts (Notophthalmus viridescens viridescens) across the northeastern United States","docAbstract":"Effective conservation is becoming more difficult as threats to wildlife increase. Natural resource managers are pressured to make difficult decisions with limited resources, and in many instances, large uncertainty. Scientists and managers tasked with the conservation of a species need tools to help guide efficient decision-making. Often, information for management decisions is insufficient. Tools that help to inform decision makers and address uncertainty are invaluable to effective conservation initiatives. The objective of our study was to create a model to best predict Eastern Newt (Notophthalmus viridescens viridescens) breeding occurrence across the northeastern United States. We estimated relationships between breeding newt field survey data and landscape-level covariates while accounting for imperfect detection. We then used those relationships to map expected newt breeding site occupancy across the northeastern United States. We find that newt breeding occupancy is inversely correlated to the amount of human influence in a landscape, highlighting a key existing threat to Eastern Newts that may be exacerbated by the introduction of novel pathogens, such as the fungal pathogen Batrachochytrium salamandrivorans.","language":"English","publisher":"Allen Press","doi":"10.1655/Herpetologica-D-22-00034","usgsCitation":"Pekurny, L., Campbell Grant, E.H., and Mosher, B., 2024, Predicted occurrence of Eastern Newts (Notophthalmus viridescens viridescens) across the northeastern United States: Herpetologica, v. 80, no. 4, p. 307-313, https://doi.org/10.1655/Herpetologica-D-22-00034.","productDescription":"7 p.","startPage":"307","endPage":"313","ipdsId":"IP-144719","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":464882,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pekurny, Lindsey","contributorId":346979,"corporation":false,"usgs":false,"family":"Pekurny","given":"Lindsey","email":"","affiliations":[{"id":18160,"text":"Rubenstein School of Environment and Natural Resources, University of Vermont","active":true,"usgs":false}],"preferred":false,"id":920457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":920458,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mosher, Brittany A.","contributorId":337881,"corporation":false,"usgs":false,"family":"Mosher","given":"Brittany A.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":920459,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70259743,"text":"70259743 - 2024 - Rappahannock tributary summary: A summary of trends in tidal water quality and associated factors, 1985-2022","interactions":[],"lastModifiedDate":"2024-10-23T13:34:14.899001","indexId":"70259743","displayToPublicDate":"2024-10-22T08:24:23","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Rappahannock tributary summary: A summary of trends in tidal water quality and associated factors, 1985-2022","docAbstract":"

The Rappahannock Tributary Summary outlines change over time for a suite of monitored tidal water quality parameters and associated potential drivers of those trends for the period of 1985 to 2022, and provides a brief description of the current state of knowledge explaining these observed changes. Water quality parameters described include surface (above pycnocline) total nitrogen (TN), surface total phosphorus (TP), surface water temperature (WTEMP), spring (March-May) and summer (JulySeptember) surface chlorophyll a, summer bottom (below pycnocline) dissolved oxygen (DO) concentrations, and Secchi disk depth (a measure of water clarity). Results for annual bottom TP, bottom TN, surface ortho-phosphate (PO4), surface dissolved inorganic nitrogen (DIN), surface total suspended solids (TSS), and summer surface DO concentrations are provided in Appendix B. Drivers discussed include physiographic watershed characteristics, changes in TN, TP, and sediment loads from the watershed to tidal waters, expected effects of changing land use, and implementation of nutrient management and natural resource conservation practices. Factors internal to estuarine waters that also play a role as drivers are described including biogeochemical processes, physical forces such as winddriven mixing of the water column and increase in rainfall intensity and volume, and biological factors such as phytoplankton biomass and the presence of submerged aquatic vegetation. Continuing to track water quality response and investigating these influencing factors are important steps to understanding water quality patterns and changes in the Rappahannock River. The intended audiences for this report include, but are not limited to, 1) technical managers within jurisdictions who are looking at tidal water quality data and trying to understand why patterns are occurring, 2) local watershed organizations that are trying to understand these analyses and working to connect them to their local area(s), and 3) federal, state, and academic researchers. Figure 1 presents a conceptual model highlighting these intended audiences. Our goal is for the Tributary Summary documents to be sources of readily available background for change over time in tidal water quality observed with monitoring data. The intended purpose of the Tributary Summary documents is to help answer questions related to water quality, show how landscape factors drive water quality change over time, provide support for management decisions that may alter water quality trends and living resources conditions, and highlight where there may be information or knowledge gaps.

","language":"English","publisher":"Chesapeake Bay Program","usgsCitation":"Sullivan, B.M., Gootman, K., Gunnerson, A., Betts, S., Johnson, C., Mason, C.A., Perry, E., Bhatt, G., Keisman, J.L., Webber, J.S., Harcum, J., Lane, M.F., Devereux, O., Zhang, Q., Murphy, R., Karrh, R., Butler, T., Van Note, V., and Wei, A., 2024, Rappahannock tributary summary: A summary of trends in tidal water quality and associated factors, 1985-2022, 76 p.","productDescription":"76 p.","ipdsId":"IP-166220","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":463100,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.chesapeakebay.net/who/group/integrated-trends-analysis-team"},{"id":463120,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Rappahannock River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.29260072491434,\n 37.52294519779164\n ],\n [\n -76.33132309399065,\n 37.68315280694503\n ],\n [\n -77.31659226271503,\n 38.276630411097585\n ],\n [\n -77.73393335165063,\n 38.804970740693534\n ],\n [\n -78.18999680966259,\n 38.72781332000861\n ],\n [\n -78.43093599502787,\n 38.32390107978463\n ],\n [\n -78.46105339319813,\n 38.13801778075705\n ],\n [\n -78.10824958605696,\n 38.03642675680268\n ],\n [\n -77.6306737007799,\n 38.13801778075705\n ],\n [\n -76.29260072491434,\n 37.52294519779164\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sullivan, Breck Maura 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National Wildlife Refuge, southeastern Oregon","indexId":"sir20255024","publicationYear":"2025","noYear":false,"title":"Managing water for birds—A tool for the Malheur National Wildlife Refuge, southeastern Oregon"},"lastModifiedDate":"2025-05-16T21:34:49.324965","indexId":"70259779","displayToPublicDate":"2024-10-22T08:12:46","publicationYear":"2024","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":18754,"text":"EcoEvoRxiv","active":true,"publicationSubtype":{"id":32}},"title":"Managing water for birds— A tool for the Malheur National Wildlife Refuge","docAbstract":"The “Water for Birds Tool” is an Excel-based model designed for resource managers to assess the spatial extent and types of bird habitats in the Malheur National Wildlife Refuge. The model quantifies the area of open water, partial water, and water depths on a monthly timescale during the irrigation season (April–July) from 2021–2024. This model combines previously published datasets and incorporates new measurements collected by partners. Results show that the relation between the amount of bird habitat and the extent (partial and open water) of Malheur Lake varies by bird guild. The Donner und Blitzen River supplied nearly all the surface water inflow to Malheur Lake during the analysis years, emphasizing the importance of informed management of the river. Additional gaging of inflows and diversions, and better estimates of recharge and irrigated areas, will refine estimates of water use on the refuge.","language":"English","publisher":"EcoEvoRxiv","doi":"10.32942/X2N03N","usgsCitation":"Smith, C., 2024, Managing water for birds— A tool for the Malheur National Wildlife Refuge: EcoEvoRxiv, https://doi.org/10.32942/X2N03N.","productDescription":"53 p.","ipdsId":"IP-171716","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":489858,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.32942/x2n03n","text":"Publisher Index Page"},{"id":463147,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Cassandra 0000-0003-1088-1772 cassandrasmith@usgs.gov","orcid":"https://orcid.org/0000-0003-1088-1772","contributorId":193491,"corporation":false,"usgs":true,"family":"Smith","given":"Cassandra","email":"cassandrasmith@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":916652,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70259923,"text":"70259923 - 2024 - From causes of conflict to solutions: Shifting the lens on human–carnivore coexistence research","interactions":[],"lastModifiedDate":"2024-11-27T15:52:46.123403","indexId":"70259923","displayToPublicDate":"2024-10-22T06:39:11","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"From causes of conflict to solutions: Shifting the lens on human–carnivore coexistence research","docAbstract":"

Human-carnivore conflicts pose significant challenges in the management and conservation of carnivores across the globe. Abundant research has led to generalizable insights into the causes of such conflicts. For example, conflicts predictably occur when carnivores have access to human food resources, particularly when their natural foods are scarce. However, similar insights into the effectiveness of interventions aimed at coexistence remains comparatively scarce. We hypothesized that this disparity might be reflected in a bias toward research focused on causes of conflict rather than interventions to address it. To test our hypothesis, we evaluated the content of studies on human–carnivore conflicts and coexistence in Canada and the United States from 2010 to 2021. We found that studies disproportionately focused on causes of conflict, with that discrepancy increasing through our study period. We also found a disproportionate focus on black bears and wolves and western jurisdictions, and a disproportionate use of observational (vs. experimental) approaches. Studies on conflict interventions were primarily directed at the carnivores themselves (e.g., lethal approaches) versus human elements (e.g., attractant management, policies), despite evidence that the latter are more effective. We expect that a shift in focus toward solutions-oriented research, integrating insights across geographies, taxa, social contexts, and disciplines, would facilitate effective interventions and foster coexistence, improving outcomes for people and carnivores alike.

","language":"English","publisher":"The Society for Conservation Biology","doi":"10.1111/csp2.13239","usgsCitation":"Artelle, K., Johnson, H.E., McCaffery, R.M., Schell, C., Williams, T., and Wilson, S., 2024, From causes of conflict to solutions: Shifting the lens on human–carnivore coexistence research: Conservation Science and Practice, v. 6, no. 11, e13239, 9 p., https://doi.org/10.1111/csp2.13239.","productDescription":"e13239, 9 p.","ipdsId":"IP-146053","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":466833,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.13239","text":"Publisher Index Page"},{"id":463236,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"11","noUsgsAuthors":false,"publicationDate":"2024-10-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Artelle, Kyle","contributorId":345514,"corporation":false,"usgs":false,"family":"Artelle","given":"Kyle","email":"","affiliations":[{"id":16829,"text":"University of Victoria","active":true,"usgs":false}],"preferred":false,"id":916845,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Heather E. 0000-0001-5392-7676 hejohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-5392-7676","contributorId":205919,"corporation":false,"usgs":true,"family":"Johnson","given":"Heather","email":"hejohnson@usgs.gov","middleInitial":"E.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":916846,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCaffery, Rebecca M. 0000-0002-0396-0387","orcid":"https://orcid.org/0000-0002-0396-0387","contributorId":211539,"corporation":false,"usgs":true,"family":"McCaffery","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":916847,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schell, Christopher","contributorId":345517,"corporation":false,"usgs":false,"family":"Schell","given":"Christopher","email":"","affiliations":[{"id":13243,"text":"University of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":916848,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williams, Tyus","contributorId":345520,"corporation":false,"usgs":false,"family":"Williams","given":"Tyus","email":"","affiliations":[{"id":13243,"text":"University of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":916849,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilson, Seth","contributorId":345523,"corporation":false,"usgs":false,"family":"Wilson","given":"Seth","email":"","affiliations":[{"id":82614,"text":"Blackfoot Challenge","active":true,"usgs":false}],"preferred":false,"id":916850,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70261608,"text":"70261608 - 2024 - Correction to A regime shift in sediment export from a coastal watershed during a record wet winter, California: Implications for landscape response to hydroclimatic extremes","interactions":[],"lastModifiedDate":"2024-12-17T21:36:20.981697","indexId":"70261608","displayToPublicDate":"2024-10-21T13:29:37","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Correction to A regime shift in sediment export from a coastal watershed during a record wet winter, California: Implications for landscape response to hydroclimatic extremes","docAbstract":"In the referenced article, the authors would like to correct text in the first paragraph on page 2571, Figure 9 and its caption. The changes reflect an error made in the processing of the rainfall intensity-duration data used to compare storms to published debris flow triggering thresholds. The correctly processed data does not change the interpretations made in the paper but does correctly indicate that the investigated storms did not exceed the rainfall intensity – duration threshold of Cannon (1988) but did significantly exceed the debris flow triggering threshold of Wieczorek (1987).","language":"English","publisher":"Wiley","doi":"10.1002/esp.6001","usgsCitation":"East, A.E., Stevens, A.W., Ritchie, A., Barnard, P.L., Campbell‐Swarzenski, P., Collins, B.D., and Conaway, C., 2024, Correction to A regime shift in sediment export from a coastal watershed during a record wet winter, California: Implications for landscape response to hydroclimatic extremes: Earth Surface Processes and Landforms, v. 49, p. 4881-4882, https://doi.org/10.1002/esp.6001.","productDescription":"2 p.","startPage":"4881","endPage":"4882","ipdsId":"IP-166901","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":466834,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.6001","text":"Publisher Index Page"},{"id":465226,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","noUsgsAuthors":false,"publicationDate":"2024-10-21","publicationStatus":"PW","contributors":{"authors":[{"text":"East, Amy E. 0000-0002-9567-9460 aeast@usgs.gov","orcid":"https://orcid.org/0000-0002-9567-9460","contributorId":196364,"corporation":false,"usgs":true,"family":"East","given":"Amy","email":"aeast@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":921173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stevens, Andrew W. 0000-0003-2334-129X astevens@usgs.gov","orcid":"https://orcid.org/0000-0003-2334-129X","contributorId":139313,"corporation":false,"usgs":true,"family":"Stevens","given":"Andrew","email":"astevens@usgs.gov","middleInitial":"W.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":921174,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ritchie, Andrew C. 0000-0001-5826-9983","orcid":"https://orcid.org/0000-0001-5826-9983","contributorId":333630,"corporation":false,"usgs":true,"family":"Ritchie","given":"Andrew C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":921175,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":140982,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick","email":"pbarnard@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":921176,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Campbell‐Swarzenski, Pamela L. 0000-0002-2232-6381","orcid":"https://orcid.org/0000-0002-2232-6381","contributorId":210642,"corporation":false,"usgs":true,"family":"Campbell‐Swarzenski","given":"Pamela L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":921177,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Collins, Brian D. 0000-0003-4881-5359 bcollins@usgs.gov","orcid":"https://orcid.org/0000-0003-4881-5359","contributorId":149278,"corporation":false,"usgs":true,"family":"Collins","given":"Brian","email":"bcollins@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":921178,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Conaway, Christopher H. 0000-0002-0991-033X","orcid":"https://orcid.org/0000-0002-0991-033X","contributorId":201932,"corporation":false,"usgs":true,"family":"Conaway","given":"Christopher H.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":921179,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70262016,"text":"70262016 - 2024 - White-backed hog-nosed skunk (Conepatus Leuconotus) occurrence in the Oklahoma panhandle","interactions":[],"lastModifiedDate":"2026-02-10T17:51:22.409533","indexId":"70262016","displayToPublicDate":"2024-10-21T09:58:02","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3451,"text":"Southwestern Naturalist","active":true,"publicationSubtype":{"id":10}},"displayTitle":"White-backed hog-nosed skunk (Conepatus Leuconotus) occurrence in the Oklahoma panhandle","title":"White-backed hog-nosed skunk (Conepatus Leuconotus) occurrence in the Oklahoma panhandle","docAbstract":"

The white-backed hog-nosed skunk (Conepatus leuconotus) is an understudied mesocarnivore thought to be declining throughout its range in the southwestern United States. With the exception of a single skull of unknown age, hog-nosed skunks have not been documented in Oklahoma since 1930. We conducted a camera trapping survey in Cimarron County, Oklahoma during summer 2022 and confirmed the presence of a hog-nosed skunk in Oklahoma. This finding provides the first evidence of a hog-nosed skunk in Oklahoma in over 90 years and is within the range of a poorly documented subspecies (C. l. figginsi) believed to be in decline.

","language":"English","publisher":"Southwestern Association of Naturalists","doi":"10.1894/0038-4909-69.1.9","usgsCitation":"Kleeberg, B., Lonsinger, R.C., and Fairbanks, W., 2024, White-backed hog-nosed skunk (Conepatus Leuconotus) occurrence in the Oklahoma panhandle: Southwestern Naturalist, v. 69, no. 1, p. 1-5, https://doi.org/10.1894/0038-4909-69.1.9.","productDescription":"5 p.","startPage":"1","endPage":"5","ipdsId":"IP-164704","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":465992,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Oklahoma panhandle","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -102.98107396966623,\n 37.00915309484894\n ],\n [\n -102.98107396966623,\n 36.473325309410754\n ],\n [\n -99.91981602217896,\n 36.473325309410754\n ],\n [\n -99.91981602217896,\n 37.00915309484894\n ],\n [\n -102.98107396966623,\n 37.00915309484894\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"69","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kleeberg, Bailey A.","contributorId":347871,"corporation":false,"usgs":false,"family":"Kleeberg","given":"Bailey A.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":922712,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lonsinger, Robert Charles 0000-0002-1040-7299","orcid":"https://orcid.org/0000-0002-1040-7299","contributorId":340524,"corporation":false,"usgs":true,"family":"Lonsinger","given":"Robert","email":"","middleInitial":"Charles","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":922714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fairbanks, W. Sue","contributorId":341306,"corporation":false,"usgs":false,"family":"Fairbanks","given":"W. Sue","affiliations":[{"id":49122,"text":"Utah Division of Wildlife Resources","active":true,"usgs":false}],"preferred":false,"id":922713,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70260843,"text":"70260843 - 2024 - Evaluating hydrologic model performance for characterizing streamflow drought in the conterminous United States","interactions":[],"lastModifiedDate":"2025-02-14T16:20:55.493405","indexId":"70260843","displayToPublicDate":"2024-10-21T09:10:07","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating hydrologic model performance for characterizing streamflow drought in the conterminous United States","docAbstract":"

Hydrologic models are the primary tools that are used to simulate streamflow drought and assess impacts. However, there is little consensus about how to evaluate the performance of these models, especially as hydrologic modeling moves toward larger spatial domains. This paper presents a comprehensive multi-objective approach to systematically evaluating the critical features in streamflow drought simulations performed by two widely used hydrological models. The evaluation approach captures how well a model classifies observed periods of drought and non-drought, quantifies error components during periods of drought, and assesses the models’ simulations of drought severity, duration, and intensity. We apply this approach at 4662 U.S. Geological Survey streamflow gages covering a wide range of hydrologic conditions across the conterminous U.S. from 1985 to 2016 to evaluate streamflow drought using two national-scale hydrologic models: the National Water Model (NWM) and the National Hydrologic Model (NHM); therefore, a benchmark against which to evaluate additional models is provided. Using this approach, we find that generally the NWM better simulates the timing of flows during drought, while the NHM better simulates the magnitude of flows during drought. Both models performed better in wetter eastern regions than in drier western regions. Finally, each model showed increased error when simulating the most severe drought events.

","language":"English","publisher":"MDPI","doi":"10.3390/w16202996","usgsCitation":"Simeone, C., Foks, S., Towler, E., Hodson, T.O., and Over, T.M., 2024, Evaluating hydrologic model performance for characterizing streamflow drought in the conterminous United States: Water, v. 16, no. 20, 2996, 22 p., https://doi.org/10.3390/w16202996.","productDescription":"2996, 22 p.","ipdsId":"IP-157287","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":466835,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w16202996","text":"Publisher Index Page"},{"id":463869,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"conterminous United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"MultiPolygon\",\n 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Sydney 0000-0002-7668-9735","orcid":"https://orcid.org/0000-0002-7668-9735","contributorId":205290,"corporation":false,"usgs":true,"family":"Foks","given":"Sydney","email":"","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":918271,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Towler, Erin 0000-0002-1784-1346","orcid":"https://orcid.org/0000-0002-1784-1346","contributorId":292891,"corporation":false,"usgs":false,"family":"Towler","given":"Erin","email":"","affiliations":[{"id":6648,"text":"National Center for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":918272,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hodson, Timothy O. 0000-0003-0962-5130","orcid":"https://orcid.org/0000-0003-0962-5130","contributorId":78634,"corporation":false,"usgs":true,"family":"Hodson","given":"Timothy","email":"","middleInitial":"O.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":918273,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Over, Thomas M. 0000-0001-8280-4368","orcid":"https://orcid.org/0000-0001-8280-4368","contributorId":204650,"corporation":false,"usgs":true,"family":"Over","given":"Thomas","email":"","middleInitial":"M.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":918274,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70264051,"text":"70264051 - 2024 - Transfer learning with convolutional neural networks for hydrological streamline delineation","interactions":[],"lastModifiedDate":"2025-03-05T15:33:15.616325","indexId":"70264051","displayToPublicDate":"2024-10-21T08:29:13","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"Transfer learning with convolutional neural networks for hydrological streamline delineation","docAbstract":"

Hydrological streamline delineation is critical for effective environmental management, influencing agriculture sustainability, river dynamics, watershed planning, and more. This study develops a novel approach to combining transfer learning with convolutional neural networks that capitalize on image-based pre-trained models to improve the accuracy and transferability of streamline delineation. We evaluate the performance of eleven image-based pre-trained models and a baseline model using datasets from Rowan County, North Carolina, and Covington River, Virginia in the USA. Our results demonstrate that when models are adapted to a new area, the fine-tuned ImageNet pre-trained model exhibits superior predictive accuracy, markedly higher than the models trained from scratch or those only fine-tuned on the same area. Moreover, the pre-trained model achieves better smoothness and connectivity between classified streamline channels. These findings underline the effectiveness of transfer learning in enhancing the delineation of hydrological streamlines across varied geographies, offering a scalable solution for accurate and efficient environmental modelling.

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