{"pageNumber":"130","pageRowStart":"3225","pageSize":"25","recordCount":184617,"records":[{"id":70262321,"text":"70262321 - 2024 - Peering into the eye of the sea lamprey: What can stable isotopes in lamprey eye lenses reveal about their life history?","interactions":[],"lastModifiedDate":"2025-01-17T20:24:56.941487","indexId":"70262321","displayToPublicDate":"2024-10-11T13:19:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Peering into the eye of the sea lamprey: What can stable isotopes in lamprey eye lenses reveal about their life history?","docAbstract":"

The Atlantic sea lamprey (Petromyzon marinus) is an anadromous species which is a detritivore for years in freshwater, before metamorphosing into a juvenile and feeding parasitically at sea. However, their migratory patterns and marine ecology are poorly characterized. In other fishes, chemical analysis of calcified structures has aided in understanding their life history, but sea lamprey lacks these structures. Recent work using eye lenses suggests an alternate approach. Lenses are stable protein structures that accrue layers on their outer edge as they grow. We used stable isotope ratios (δxY) of hydrogen, carbon, nitrogen, and oxygen to explore lens layers and compare lenses to muscle. Returning adults were collected in May 2021 from the Penobscot (Maine), Connecticut (Massachusetts), and Susquehanna (Maryland) rivers. Lenses were dissected into three layers (surface, middle, core) and analyzed separately to investigate changes over time. We used mixed-effects models to assess differences in isotope ratios among lens layers. Isotope ratios changed from the core to the surface layer and δ13C were suggestive of a change from terrestrial to marine sources and δ15N showed an increase in trophic level as individuals grew, as would be expected when transitioning from detrital sources to marine prey. However, the isotope ratios of the outer lens layer generally did not correspond with the muscle, perhaps indicating a different temporal interval. These data suggest temporal accretion of lens proteins provide a record to explore sea lamprey ecology.

","language":"English","publisher":"Springer Nature","doi":"10.1007/s10641-024-01612-4","usgsCitation":"Evans, T., and Zydlewski, J.D., 2024, Peering into the eye of the sea lamprey: What can stable isotopes in lamprey eye lenses reveal about their life history?: Environmental Biology of Fishes, v. 107, p. 1155-1169, https://doi.org/10.1007/s10641-024-01612-4.","productDescription":"15 p.","startPage":"1155","endPage":"1169","ipdsId":"IP-163956","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":480763,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","city":"Milford","otherGeospatial":"Penobscot River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -68.65624005392965,\n 44.949550366070724\n ],\n [\n -68.65624005392965,\n 44.93578904625113\n ],\n [\n -68.63621986038993,\n 44.93578904625113\n ],\n [\n -68.63621986038993,\n 44.949550366070724\n ],\n [\n -68.65624005392965,\n 44.949550366070724\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"107","noUsgsAuthors":false,"publicationDate":"2024-10-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Evans, Thomas M.","contributorId":348850,"corporation":false,"usgs":false,"family":"Evans","given":"Thomas M.","affiliations":[{"id":52128,"text":"St. Mary’s College of Maryland","active":true,"usgs":false}],"preferred":false,"id":923830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":923831,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70270801,"text":"70270801 - 2024 - Northern Mexican gartersnake demographics and movement ecology","interactions":[],"lastModifiedDate":"2025-08-25T16:02:02.16547","indexId":"70270801","displayToPublicDate":"2024-10-11T11:00:31","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"CSS-158-2024","title":"Northern Mexican gartersnake demographics and movement ecology","docAbstract":"

The northern Mexican gartersnake (Thamnophis eques; hereafter NMGS) is a federally threatened species occurring in riparian areas in central and southeast Arizona and west-central New Mexico. While previous studies have examined the ecology of this species in central Arizona, less is known about NMGS ecology in grassland landscapes of southeast Arizona. This project continues a long-term mark-recapture study of NMGS in the upper Santa Cruz River in the San Rafael Valley of southeast Arizona. We analyzed mark-recapture data collected by Arizona Game and Fish Department from 2008–2019 and included data we collected during 2022 and 2023. We also studied NMGS movement ecology using a combination of externally attached GPS transmitters and surgically implanted VHF transmitters. We had 517 NMGS captures over 26 survey sessions across the entire study, 186 of which were captures of previously marked snakes. Most of our captures were females and evidence of a statistically significant female-biased sex ratio was present on three survey sessions. Trapping success was generally highest June-September and catch-per-unit-effort (CPUE) was strongly correlated with the number of individuals captured. We used mark-recapture data from 288 individuals to estimate annual apparent survival and session-specific recapture probabilities. Annual apparent survival was higher for females (0.72, 95% highest posterior density intervals [HPDI] = 0.630.81) than for males (0.58, 95% HPDI = 0.44–0.72). Session-specific recapture probabilities were similar for males and females and were highly correlated with CPUE. During 2023, we monitored the movements of 13 adult females using GPS transmitters, two adult males using VHF transmitters, and one adult female using a GPS transmitter followed by a VHF transmitter. GPS transmitters were deployed from 7-18 days at a time as limited by battery life. After filtering out low-quality GPS locations, we obtained a total of 1,688 hourly GPS locations. Mean and maximum distances moved per hour ranged from 5.54–10.92 m and 15.24–135.71 m, respectively, across GPS transmitter attachment periods. Space use estimates from 100% minimum convex polygons ranged from 0.04–1.16 ha across GPS transmitter attachment periods. All documented NMGS movements during 2023 were relatively close (< 100 m) to the Santa Cruz River. These results continue to build upon our knowledge of NMGS ecology and suggest the continued presence of a relatively robust population within the upper Santa Cruz River.

","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/10.3996/css35094350","usgsCitation":"Bauder, J.M., Pawlicki, A., and Goode, M., 2024, Northern Mexican gartersnake demographics and movement ecology: Cooperator Science Series CSS-158-2024, 45 p., https://doi.org/10.3996/10.3996/css35094350.","productDescription":"45 p.","ipdsId":"IP-166806","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":494693,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fws.gov/media/northern-mexican-gartersnake-demographics-and-movement-ecology","linkFileType":{"id":5,"text":"html"}},{"id":494749,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"San Rafael Valley, Upper Santa Cruz River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.86644890866877,\n 31.377710308541452\n ],\n [\n -110.86644890866877,\n 31.334558614236315\n ],\n [\n -110.83667605338897,\n 31.334558614236315\n ],\n [\n -110.83667605338897,\n 31.377710308541452\n ],\n [\n -110.86644890866877,\n 31.377710308541452\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2024-10-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Bauder, Javan Mathias 0000-0002-2055-5324","orcid":"https://orcid.org/0000-0002-2055-5324","contributorId":337814,"corporation":false,"usgs":true,"family":"Bauder","given":"Javan","email":"","middleInitial":"Mathias","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":947098,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pawlicki, Anthony","contributorId":360484,"corporation":false,"usgs":false,"family":"Pawlicki","given":"Anthony","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":947099,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goode, Matt","contributorId":360487,"corporation":false,"usgs":false,"family":"Goode","given":"Matt","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":947100,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70260652,"text":"70260652 - 2024 - Drivers of woody dominance across global drylands","interactions":[],"lastModifiedDate":"2024-11-06T16:38:34.981321","indexId":"70260652","displayToPublicDate":"2024-10-11T10:04:07","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Drivers of woody dominance across global drylands","docAbstract":"

Increases in the abundance of woody species have been reported to affect the provisioning of ecosystem services in drylands worldwide. However, it is virtually unknown how multiple biotic and abiotic drivers, such as climate, grazing, and fire, interact to determine woody dominance across global drylands. We conducted a standardized field survey in 304 plots across 25 countries to assess how climatic features, soil properties, grazing, and fire affect woody dominance in dryland rangelands. Precipitation, temperature, and grazing were key determinants of tree and shrub dominance. The effects of grazing were determined not solely by grazing pressure but also by the dominant livestock species. Interactions between soil, climate, and grazing and differences in responses to these factors between trees and shrubs were key to understanding changes in woody dominance. Our findings suggest that projected changes in climate and grazing pressure may increase woody dominance in drylands, altering their structure and functioning.

","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/sciadv.adn6007","usgsCitation":"Biancari, L., Aguiar, M.R., Eldridge, D.J., Oñatibia, G., Bagousse-Pinguet, Y.L., Saiz, H., Gross, N., Austin, A.T., Ochoa, V., Gozalo, B., Asensio, S., Guirado, E., Valencia, E., Berdugo, M., Plaza, C., Martinez-Valderrama, J., Mendoza, B.J., García-Gómez, M., Abedi, M., Ahumada, R.J., Alcantara, J.M., Amghar, F., Anadon, J.D., Aramayo, V., Arredondo, T., Bader, M., Bahalkeh, K., Salem, F.B., Blaum, N., Boldgiv, B., Bowker, M., Branquinho, C., Bu, C., Byambatsogt, B., Calvo, D.A., Monroy, A.P., Castro, H., Castro-Quezada, P., Chibani, R., Conceição, A., Currier, C.M., Donoso, D.A., Dougill, A., Ejtehadi, H., Espinosa, C., Fajardo, A., Farzam, M., Ferrante, D., Fraser, L.H., Gaitan, J.J., Gherardi, L.A., Gusman-Montalvan, E., Hernández-Hernández, R., Holzel, N., Huber-Sannwald, E., Hughes, F., Jadan-Maza, O., Jeltsch, F., Jentsch, A., Ju, M., Kaseke, K.F., Kindermann, L., Kobel, M., le Roux, P.C., Liancourt, P., Linstadter, A., Liu, J., Louw, M.A., Maggs-Kolling, G., Issa, O.M., Marais, E., Margerie, P., Messeder, J.V., Mora, J.P., Moreno, G., Munson, S.M., Oliva, G., Pueyo, Y., Quiroga, R., Reed, S., Rey, P.J., Rodriguez, A., Rodriguez, L.B., Rolo, V., Ruppert, J., Sala, O.E., Salah, A., Stavi, I., Stephens, C., Swemmer, A.M., Teixido, A.L., Thomas, A.D., Throop, H.L., Tielborger, K., Travers, S.K., van den Brink, L., Wagner, V., Wamiti, W., Wang, D., Wang, L., Wolff, P., Yahdjian, L., Zaady, E., and Maestre, F.T., 2024, Drivers of woody dominance across global drylands: Science Advances, v. 10, no. 41, eadn6007, 10 p., https://doi.org/10.1126/sciadv.adn6007.","productDescription":"eadn6007, 10 p.","ipdsId":"IP-164139","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":466855,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.adn6007","text":"Publisher Index Page"},{"id":463767,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"41","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Biancari, Lucio","contributorId":333153,"corporation":false,"usgs":false,"family":"Biancari","given":"Lucio","email":"","affiliations":[{"id":79756,"text":"Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA), National Scientific and Technical Research Council (CONICET), Faculty of Agronomy, University of Buenos Aires, Buenos Aires C1417DSE, Argentina","active":true,"usgs":false}],"preferred":false,"id":917993,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aguiar, Martin R.","contributorId":346099,"corporation":false,"usgs":false,"family":"Aguiar","given":"Martin","email":"","middleInitial":"R.","affiliations":[{"id":82765,"text":"IFEVA, Facultad de Agronomía, Universidad de Buenos Aires, CONICET, Buenos Aires, Argentina; Cátedra de Ecología, Departamento de Recursos Natural y Ambiente, Facultad de Agronomía, UBA, Buenos Aires, Argentina","active":true,"usgs":false}],"preferred":false,"id":917994,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eldridge, David J. 0000-0002-2191-486X","orcid":"https://orcid.org/0000-0002-2191-486X","contributorId":207298,"corporation":false,"usgs":false,"family":"Eldridge","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":37514,"text":"Center for Ecosystem Science, University of New South Wales, Sydney, NSW 2052, Australia","active":true,"usgs":false}],"preferred":false,"id":917995,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oñatibia, Gastón R.","contributorId":300442,"corporation":false,"usgs":false,"family":"Oñatibia","given":"Gastón R.","affiliations":[{"id":65149,"text":"Cátedra de Ecología, Facultad de Agronomía, Universidad de Buenos Aires, Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA-CONICET), Ciudad Autónoma de Buenos Aires, Argentina.","active":true,"usgs":false}],"preferred":false,"id":917996,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bagousse-Pinguet, Yoann Le","contributorId":339276,"corporation":false,"usgs":false,"family":"Bagousse-Pinguet","given":"Yoann","email":"","middleInitial":"Le","affiliations":[{"id":81260,"text":"Aix Marseille Univ, CNRS, Avignon Université, IRD, IMBE; Aix-en-Provence, France","active":true,"usgs":false}],"preferred":false,"id":917997,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Saiz, Hugo","contributorId":300373,"corporation":false,"usgs":false,"family":"Saiz","given":"Hugo","email":"","affiliations":[{"id":65095,"text":"Dept. de Ciencias Agrarias y Medio Natural, Escuela Politécnica Superior, Instituto Universitario de Investigación en Ciencias Ambientales de Aragón, Universidad de Zaragoza, Huesca, Spain","active":true,"usgs":false}],"preferred":false,"id":917998,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gross, Nicolas","contributorId":300469,"corporation":false,"usgs":false,"family":"Gross","given":"Nicolas","email":"","affiliations":[{"id":65167,"text":"Université Clermont Auvergne, INRAE, VetAgro Sup, Unité Mixte de Recherche Ecosystème Prairial, Clermont-Ferrand, France.","active":true,"usgs":false}],"preferred":false,"id":917999,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Austin, Amy T.","contributorId":346100,"corporation":false,"usgs":false,"family":"Austin","given":"Amy","email":"","middleInitial":"T.","affiliations":[{"id":82765,"text":"IFEVA, Facultad de Agronomía, Universidad de Buenos Aires, CONICET, Buenos Aires, Argentina; 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Mangroves in tropical and subtropical coasts are subject to episodic disturbances, notably from severe storms, leading to potential widespread vegetation mortality. The ability of vegetation to recover varies, and with disturbances becoming more frequent and severe, it is vital to track and project vegetation responses to support management and policy decisions. Prior studies have largely focused on binary mangrove mapping (i.e., presence or absence), while tracking conditions and condition change have not received sufficient attention. In this paper, we demonstrate a method based on dense time series Landsat images for continuous monitoring of mangrove conditions, where we track three kinds of post-disturbance mangrove conditions, including disturbed (disturbed, with rebound to the previous state within one growing season), recovering (undergoing natural recovery in longer than one growing season), and declining (showing long-term decline after disturbance). The method starts with disturbance detection using the DEtection and Characterization Of the tiDal wEtland change (DECODE) algorithm, an existing dense time series model designed to detect disturbances in tidal wetlands with adaptation to tidal fluctuations. This algorithm is well suited for the detection of tidal wetland disturbances but does not provide satisfactory post-disturbance monitoring results, due to the substantial variability in post-disturbance Landsat observations. To better monitor post-disturbance conditions, a new time series fitting approach, DECODER (DECODE and Recovery), is proposed for the recovery stage. Additionally, for temporal segments divided by disturbance events, we built a random forest classifier with temporal-spectral variables derived from the time series model to characterize mangrove conditions. Employing this approach in Florida's mangroves, we generated condition maps, such as dieback and recovery, with an overall accuracy of approximately 97.96 ± 0.86- [95 % confidence intervals]. Comparing post-hurricane conditions in Florida revealed that the increased frequency and severity of disturbances are challenging mangrove resilience, potentially diminishing their ability to recover and sustain ecosystem functions.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2024.114461","usgsCitation":"Yang, X., Zhu, Z., Kroeger, K.D., Qiu, S., Covington, S., Conrad, J.R., and Zhu, Z., 2024, Tracking mangrove condition changes using dense Landsat time series: Remote Sensing of Environment, v. 315, 114461, 20 p., https://doi.org/10.1016/j.rse.2024.114461.","productDescription":"114461, 20 p.","ipdsId":"IP-171456","costCenters":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":466856,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2024.114461","text":"Publisher Index Page"},{"id":464698,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.7435896795151,\n 29.468105811418027\n ],\n [\n -83.7435896795151,\n 24.675167884786973\n ],\n [\n -79.34983154106673,\n 24.675167884786973\n ],\n [\n -79.34983154106673,\n 29.468105811418027\n ],\n [\n -83.7435896795151,\n 29.468105811418027\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"315","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Yang, Xiucheng","contributorId":346867,"corporation":false,"usgs":false,"family":"Yang","given":"Xiucheng","email":"","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":920060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhu, Zhe","contributorId":346868,"corporation":false,"usgs":false,"family":"Zhu","given":"Zhe","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":920061,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kroeger, Kevin D. 0000-0002-4272-2349 kkroeger@usgs.gov","orcid":"https://orcid.org/0000-0002-4272-2349","contributorId":1603,"corporation":false,"usgs":true,"family":"Kroeger","given":"Kevin","email":"kkroeger@usgs.gov","middleInitial":"D.","affiliations":[{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"preferred":true,"id":920062,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Qiu, Shi","contributorId":346869,"corporation":false,"usgs":false,"family":"Qiu","given":"Shi","email":"","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":920063,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Covington, Scott","contributorId":346870,"corporation":false,"usgs":false,"family":"Covington","given":"Scott","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":920064,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Conrad, Jeremy R.","contributorId":346871,"corporation":false,"usgs":false,"family":"Conrad","given":"Jeremy","middleInitial":"R.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":920065,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":920066,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70261950,"text":"70261950 - 2024 - Lake temperature and morphometry shape the thermal composition of recreational fishing catch","interactions":[],"lastModifiedDate":"2025-01-06T15:12:52.812213","indexId":"70261950","displayToPublicDate":"2024-10-11T09:06:55","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Lake temperature and morphometry shape the thermal composition of recreational fishing catch","docAbstract":"

Objective

Managing freshwater fisheries in warming lakes is challenging because climate change impacts anglers, fish, and their interactions.

Methods

We integrated recent models of current and future lake temperatures with recreational fisheries catch data from 587 lakes in three north-central U.S. states (Michigan, Minnesota, and Wisconsin) to evaluate how the thermal composition of recreational fisheries catch varied as a function of temperature, ice coverage, and lake morphometry.

Result

We found that warmwater catch share (WCS), defined as the proportion of fish in recreational angling catch that belonged to the warmwater thermal guild (final temperature preferendum [FTP] > 25°C), increased with average annual lake surface temperature and decreased with survey ice coverage. However, we also found that WCS decreased with increased lake area and depth. Using mid-century (2040–2060) water temperature and ice projections while holding all other variables constant, we predicted that WCS will likely increase as the climate warms but that significant thermal heterogeneity will persist.

Conclusion

Lakes that are large (>100 ha) and deep (>10 m) and those with cooler (<3700 annual growing degree-days) predicted future temperatures will likely hold thermal refugia for coolwater (FTP = 19–25°C) and coldwater (FTP < 19°C) fish even as average lake temperatures rise, creating the potential for management actions to resist the shift from coolwater to warmwater fisheries. Managers of smaller and more rapidly warming lakes may want to consider strategies that accept or direct emerging warmwater fishing opportunities. We suggest that the most viable path to climate adaptation in landscapes of diverse lakes may be to resist warmwater shifts where possible and to accept or direct the rise of warmwater fishing opportunities where necessary.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10481","usgsCitation":"Wszola, L.S., Sievert, N., Lynch, A.J., Embke, H.S., Kaz, A.L., Robertson, M., Midway, S., and Paukert, C.P., 2024, Lake temperature and morphometry shape the thermal composition of recreational fishing catch: Transactions of the American Fisheries Society, v. 153, no. 6, p. 746-762, https://doi.org/10.1002/tafs.10481.","productDescription":"13 p.","startPage":"746","endPage":"762","ipdsId":"IP-154515","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true},{"id":65882,"text":"Midwest Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":500789,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.lsu.edu/oceanography_coastal_pubs/1055","text":"External 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University","active":true,"usgs":false}],"preferred":false,"id":922385,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Robertson, Matthew D.","contributorId":347760,"corporation":false,"usgs":false,"family":"Robertson","given":"Matthew D.","affiliations":[{"id":26965,"text":"Memorial University of Newfoundland","active":true,"usgs":false}],"preferred":false,"id":922386,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Midway, Stephen R.","contributorId":244467,"corporation":false,"usgs":false,"family":"Midway","given":"Stephen R.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":922387,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Paukert, Craig P. 0000-0002-9369-8545","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":245524,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","middleInitial":"P.","affiliations":[{"id":199,"text":"Coop Res Unit 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Onsite wastewater treatment systems (OWTS) are a major source of excess nutrients and co-pollutants in watersheds across the United States. In Barnstable County (Cape Cod), Massachusetts, effluent from septic systems and cesspools contributes approximately 80% of the controllable reactive nitrogen (N) load to numerous impaired estuaries and degrades water quality in the region's sole source aquifer, streams and ponds. In unsewered areas, wastewater N loads could be reduced substantially by Innovative/Alternative (I/A) septic systems designed for enhanced removal. Use, however, has been partly limited by the availability of high performing, cost effective options, while conventional septic systems continue to be installed in watersheds with well documented N impairments. This paper describes the strategic replacement of residential OWTS with two I/A models that incorporate woodchip bioreactors to enhance N removal. Systems were installed at 14 neighboring homes in Barnstable, MA, and monitored for field performance. Influent and effluent were sampled monthly and analyzed for N and phosphorus (P), among other water quality indicators. Flow to each system was continuously metered to estimate nutrient loads. Results from the first 25 months of monitoring for 13 systems with at least a full year of data are presented in terms of 1) reductions in nutrient concentrations and mass loads and 2) reliability of the systems for meeting a performance goal of total N (TN) < 10 mg/L. Discussion supports consideration of where and how these technologies may be successfully used to manage excess N in sensitive watersheds.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2024.122737","usgsCitation":"Erban, L., Wigginton, S., Baumgaertel, B., Horsley, B., McCobb, T., Crocker, Z., Horsley, S., and Gleason, T., 2024, Reducing wastewater nitrogen loading by >90% with carbon-amended septic systems: A field demonstration in Barnstable (Cape Cod), Massachusetts: Journal of Environmental Management, v. 370, 122737, 14 p., https://doi.org/10.1016/j.jenvman.2024.122737.","productDescription":"122737, 14 p.","ipdsId":"IP-165390","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":466857,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2024.122737","text":"Publisher Index Page"},{"id":463047,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","city":"Barnstable","otherGeospatial":"Cape Cod","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -70.33153601848146,\n 41.721087435905105\n ],\n [\n -70.33153601848146,\n 41.63457812460754\n ],\n [\n -70.23186429738097,\n 41.63457812460754\n ],\n [\n -70.23186429738097,\n 41.721087435905105\n ],\n [\n -70.33153601848146,\n 41.721087435905105\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"370","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Erban, Laura","contributorId":345343,"corporation":false,"usgs":false,"family":"Erban","given":"Laura","email":"","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":916365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wigginton, Sara","contributorId":345344,"corporation":false,"usgs":false,"family":"Wigginton","given":"Sara","email":"","affiliations":[{"id":65402,"text":"Massachusetts Alternative Septic System Test Center","active":true,"usgs":false}],"preferred":false,"id":916366,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baumgaertel, Brian","contributorId":345345,"corporation":false,"usgs":false,"family":"Baumgaertel","given":"Brian","email":"","affiliations":[{"id":65402,"text":"Massachusetts Alternative Septic System Test Center","active":true,"usgs":false}],"preferred":false,"id":916367,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Horsley, Bryan","contributorId":345346,"corporation":false,"usgs":false,"family":"Horsley","given":"Bryan","email":"","affiliations":[{"id":65402,"text":"Massachusetts Alternative Septic System Test Center","active":true,"usgs":false}],"preferred":false,"id":916368,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCobb, Timothy D. 0000-0003-1533-847X","orcid":"https://orcid.org/0000-0003-1533-847X","contributorId":203069,"corporation":false,"usgs":true,"family":"McCobb","given":"Timothy D.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":916369,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Crocker, Zee","contributorId":345347,"corporation":false,"usgs":false,"family":"Crocker","given":"Zee","email":"","affiliations":[{"id":82551,"text":"Barnstable Clean Water Coalition","active":true,"usgs":false}],"preferred":false,"id":916370,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Horsley, Scott","contributorId":345350,"corporation":false,"usgs":false,"family":"Horsley","given":"Scott","email":"","affiliations":[{"id":82552,"text":"Horsley Consulting","active":true,"usgs":false}],"preferred":false,"id":916371,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gleason, Timothy","contributorId":345352,"corporation":false,"usgs":false,"family":"Gleason","given":"Timothy","email":"","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":916372,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70261411,"text":"70261411 - 2024 - Previous reproductive success and environmental variation influence nest-site fidelity of a subarctic-nesting goose","interactions":[],"lastModifiedDate":"2024-12-09T15:40:30.029495","indexId":"70261411","displayToPublicDate":"2024-10-11T08:32:09","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Previous reproductive success and environmental variation influence nest-site fidelity of a subarctic-nesting goose","docAbstract":"

Nest-site fidelity is a common strategy in birds and is believed to be adaptive due to familiarity with local conditions. Returning to previously successful nest sites (i.e., the win-stay lose-switch strategy) may be beneficial when habitat quality is spatially variable and temporally predictable; however, changes in environmental conditions may constrain dispersal decisions despite previous reproductive success. We used long-term (2000–2017) capture-mark-reencounter data and hierarchical models to examine fine-scale nest-site fidelity of emperor geese (Anser canagicus) on the Yukon-Kuskokwim Delta in Alaska. Our objectives were to quantify nest-site dispersal distances, determine whether dispersal distance is affected by previous nest fate, spring timing, or major flooding events on the study area, and determine if nest-site fidelity is adaptive in that it leads to higher nest survival. Consistent with the win-stay lose-switch strategy, expected dispersal distance for individuals that failed their nesting attempt in the previous year (207.9 m,14 95% HPDI:150.9–271.4) was greater than expected dispersal distance for individuals who nested successfully in the previous year (125.8 m, 95% HPDI:107.1–145.9). Expected dispersal distance was slightly greater following years of major flooding events for individuals that nested successfully, although this pattern was not observed for individuals who failed their nesting attempt. We did not find evidence that expected dispersal distance was influenced by spring timing. Importantly, dispersal distance was positively related to daily survival probability of emperor goose nests for individuals who failed their previous nesting attempt, suggesting an adaptive benefit to the win-stay lose-switch strategy. Our results highlight the importance of previous experience and environmental variation for informing dispersal decisions of a long-lived goose species. However, it is unclear if dispersal decisions based on previous experience will continue to be adaptive as variability in environmental conditions increases in northern breeding areas.

","language":"English","publisher":"Wiley","doi":"10.1002/ece3.70313","usgsCitation":"Thompson, J.M., Uher-Koch, B.D., Daniels, B.L., Riecke, T., Schmutz, J.A., and Sedinger, B.S., 2024, Previous reproductive success and environmental variation influence nest-site fidelity of a subarctic-nesting goose: Ecology and Evolution, v. 14, no. 10, e70313, 10 p., https://doi.org/10.1002/ece3.70313.","productDescription":"e70313, 10 p.","ipdsId":"IP-164482","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":466858,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.70313","text":"Publisher Index Page"},{"id":464921,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon-Kuskokwim Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -168.9696931685749,\n 61.4150203271945\n ],\n [\n -168.9696931685749,\n 59.36637273016359\n ],\n [\n -161.49030953760507,\n 59.36637273016359\n ],\n [\n -161.49030953760507,\n 61.4150203271945\n ],\n [\n -168.9696931685749,\n 61.4150203271945\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-10-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Thompson, Jordan M.","contributorId":303133,"corporation":false,"usgs":false,"family":"Thompson","given":"Jordan","email":"","middleInitial":"M.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":920511,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Uher-Koch, Brian D. 0000-0002-1885-0260 buher-koch@usgs.gov","orcid":"https://orcid.org/0000-0002-1885-0260","contributorId":5117,"corporation":false,"usgs":true,"family":"Uher-Koch","given":"Brian","email":"buher-koch@usgs.gov","middleInitial":"D.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":920512,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daniels, Bryan L.","contributorId":304964,"corporation":false,"usgs":false,"family":"Daniels","given":"Bryan","email":"","middleInitial":"L.","affiliations":[{"id":66195,"text":"Yukon Delta National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":920513,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Riecke, Thomas V.","contributorId":171482,"corporation":false,"usgs":false,"family":"Riecke","given":"Thomas V.","affiliations":[],"preferred":false,"id":920514,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmutz, Joel A.","contributorId":304965,"corporation":false,"usgs":false,"family":"Schmutz","given":"Joel","email":"","middleInitial":"A.","affiliations":[{"id":66196,"text":"Alaska Science Center WTEB (retired)","active":true,"usgs":false}],"preferred":false,"id":920515,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sedinger, Benjamin S.","contributorId":304966,"corporation":false,"usgs":false,"family":"Sedinger","given":"Benjamin","email":"","middleInitial":"S.","affiliations":[{"id":33303,"text":"University of Wisconsin Stevens Point","active":true,"usgs":false}],"preferred":false,"id":920516,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70263656,"text":"70263656 - 2024 - When and where can coastal wetland restoration increase carbon sequestration as a natural climate solution?","interactions":[],"lastModifiedDate":"2025-02-19T15:07:03.844806","indexId":"70263656","displayToPublicDate":"2024-10-11T08:00:48","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":13436,"text":"Coastal Futures","active":true,"publicationSubtype":{"id":10}},"title":"When and where can coastal wetland restoration increase carbon sequestration as a natural climate solution?","docAbstract":"Coastal wetlands are hotspots of carbon sequestration, and their conservation and restoration can help to mitigate climate change. However, there remains uncertainty on when and where coastal wetland restoration can most effectively act as a Natural Climate Solution (NCS). Here, we synthesize current understanding to illustrate the requirements for coastal wetland restoration to benefit climate, and discuss potential paths forward that address key uncertainties impeding implementation. To be effective as NCS, coastal wetland restoration projects will accrue climate cooling benefits that would not occur without management action (additionality), will be implementable (feasibility), and will persist over management-relevant timeframes (permanence). Several issues add uncertainty to understanding if these minimum requirements are met. First, coastal wetlands serve as both a landscape source and sink of carbon for other habitats, increasing uncertainty in additionality. Second, coastal wetlands can potentially migrate outside of project footprints as they respond to sea-level rise, increasing uncertainty in permanence. To address these first two issues, a system-wide approach may be necessary, rather than basing cooling benefits only on changes that occur within project boundaries. Third, the need for NCS to function over management-relevant decadal timescales means methane responses may be necessary to include in coastal wetland restoration planning and monitoring. Finally, there is uncertainty on how much data is required to justify restoration action. We summarize the minimum data required to make a decision on whether there is a net cooling benefit from a management action, noting that these data are more readily available than the data required to quantify the magnitude of cooling benefits for carbon crediting purposes. By reducing uncertainty, coastal wetland restoration can be implemented at the scale required to significantly contribute to addressing the current climate crisis.","language":"English","publisher":"Cambridge University Press","doi":"10.1017/cft.2024.14","usgsCitation":"Jones, S., Arias-Ortiz, A., Baldocchi, D., Eagle, M.J., Friess, D., Gore, C., Noe, G.E., Nolte, S., Oikawa, P., Paytan, A., Raw, J.L., Roberts, B.J., Rogers, K., Schutte, C.A., Stagg, C., Thorne, K., Ward, E.J., Windham-Myers, L., and Yando, E., 2024, When and where can coastal wetland restoration increase carbon sequestration as a natural climate solution?: Coastal Futures, v. 2, e13, 16 p., https://doi.org/10.1017/cft.2024.14.","productDescription":"e13, 16 p.","ipdsId":"IP-165449","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":487655,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/cft.2024.14","text":"Publisher Index Page"},{"id":482209,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","noUsgsAuthors":false,"publicationDate":"2024-10-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Jones, Scott F. 0000-0002-1056-3785","orcid":"https://orcid.org/0000-0002-1056-3785","contributorId":204137,"corporation":false,"usgs":false,"family":"Jones","given":"Scott F.","affiliations":[{"id":36864,"text":"University of Louisiana Lafayette","active":true,"usgs":false}],"preferred":false,"id":927689,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arias-Ortiz, Ariane 0000-0001-9408-0061","orcid":"https://orcid.org/0000-0001-9408-0061","contributorId":332969,"corporation":false,"usgs":false,"family":"Arias-Ortiz","given":"Ariane","email":"","affiliations":[],"preferred":false,"id":927690,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baldocchi, Dennis 0000-0003-3496-4919","orcid":"https://orcid.org/0000-0003-3496-4919","contributorId":167495,"corporation":false,"usgs":false,"family":"Baldocchi","given":"Dennis","affiliations":[{"id":24725,"text":"Ecosystem Science Division, Department of Environmental Science","active":true,"usgs":false}],"preferred":false,"id":927691,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eagle, Meagan J. 0000-0001-5072-2755 meagle@usgs.gov","orcid":"https://orcid.org/0000-0001-5072-2755","contributorId":242890,"corporation":false,"usgs":true,"family":"Eagle","given":"Meagan","email":"meagle@usgs.gov","middleInitial":"J.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":927692,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Friess, Daniel A.","contributorId":35454,"corporation":false,"usgs":false,"family":"Friess","given":"Daniel A.","affiliations":[{"id":25407,"text":"Department of Geography, National University of Singapore","active":true,"usgs":false}],"preferred":false,"id":927693,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gore, Catrina","contributorId":351007,"corporation":false,"usgs":false,"family":"Gore","given":"Catrina","affiliations":[{"id":16617,"text":"University of East Anglia","active":true,"usgs":false}],"preferred":false,"id":927694,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - 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Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":927706,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Yando, Eric S.","contributorId":351011,"corporation":false,"usgs":false,"family":"Yando","given":"Eric S.","affiliations":[{"id":36518,"text":"Old Dominion University","active":true,"usgs":false}],"preferred":false,"id":927707,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70259636,"text":"70259636 - 2024 - A meta-analysis of mercury biomagnification in freshwater predatory invertebrates: Community diversity and dietary exposure drive variability","interactions":[],"lastModifiedDate":"2024-11-04T19:41:39.067414","indexId":"70259636","displayToPublicDate":"2024-10-11T07:20:07","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"A meta-analysis of mercury biomagnification in freshwater predatory invertebrates: Community diversity and dietary exposure drive variability","docAbstract":"

Accurate estimates of methylmercury (MeHg) exposure are valuable to actionably assess risk and protect wildlife and human health. MeHg trophic transfer is a critical driver of risk: MeHg is generally biomagnified by a factor of 8.3 ± 7.5 from one trophic level to the next, averaged across freshwater communities (mean ± standard deviation). This variability can produce disparate risks even where basal MeHg concentrations are similar. Taxonomy may be one driver of this variability: physiologically diverse groups, like vertebrates and invertebrates, may assimilate MeHg differently. To determine whether taxonomy affects trophic transfer efficiency, we conducted a meta-analysis characterizing predatory invertebrate MeHg biomagnification. Our analyses estimated that freshwater predatory invertebrates biomagnify MeHg by factors of 2.1 ± 0.2 to 4.3 ± 0.3, with a 98.9 ± 0.4% posterior probability that factors are below 5 (mean ± standard error). When vertebrates or primary producers were included, a site’s trophic magnification factor was 18.6 ± 6.2 to 54.1 ± 7.7% higher than estimates for invertebrates alone. Biomagnification was inversely correlated to prey MeHg concentration and varied among systematic and functional groups. These data suggest that predatory invertebrates biomagnify MeHg less efficiently than vertebrates and that a community’s diversity and structure determine its biomagnification efficiency. Incorporating organismal variation in trophic transfer estimates may improve the assessment, communication, and management of MeHg risk.

","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.4c05920","usgsCitation":"Sinclair, C.A., Garcia, T.S., and Eagles-Smith, C., 2024, A meta-analysis of mercury biomagnification in freshwater predatory invertebrates: Community diversity and dietary exposure drive variability: Environmental Science & Technology, v. 58, no. 43, p. 19429-19439, https://doi.org/10.1021/acs.est.4c05920.","productDescription":"11 p.","startPage":"19429","endPage":"19439","ipdsId":"IP-167169","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":466859,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.4c05920","text":"Publisher Index Page"},{"id":462998,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"43","noUsgsAuthors":false,"publicationDate":"2024-10-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Sinclair, Cailin A","contributorId":340137,"corporation":false,"usgs":false,"family":"Sinclair","given":"Cailin","email":"","middleInitial":"A","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":916082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garcia, Tiffany S.","contributorId":171591,"corporation":false,"usgs":false,"family":"Garcia","given":"Tiffany","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":916083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":221745,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":916084,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70259587,"text":"70259587 - 2024 - Predictive understanding of stream salinization in a developed watershed using machine learning","interactions":[],"lastModifiedDate":"2024-10-23T16:27:38.970197","indexId":"70259587","displayToPublicDate":"2024-10-11T07:01:28","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Predictive understanding of stream salinization in a developed watershed using machine learning","docAbstract":"

Stream salinization is a global issue, yet few models can provide reliable salinity estimates for unmonitored locations at the time scales required for ecological exposure assessments. Machine learning approaches are presented that use spatially limited high-frequency monitoring and spatially distributed discrete samples to estimate the daily stream-specific conductance across a watershed. We compare the predictive performance of space- and time-unaware Random Forest models and space- and time-aware Recurrent Graph Convolution Neural Network models (KGE: 0.67 and 0.64, respectively) and use explainable artificial intelligence methods to interpret model predictions and understand salinization drivers. These models are applied to the Delaware River Basin, a developed watershed with diverse land uses that experiences anthropogenic salinization from winter deicer applications. These models capture seasonality for the winter first flush of deicers, and the streams with elevated predictions correspond well with indicators of deicer application. This result suggests that these models can be used to identify potential salinity-impaired streams for winter best management practices. Daily salinity predictions are driven primarily by land cover (urbanization) trends that may represent anthropogenic salinization processes and weather at time scales up to three months. Such modeling approaches are likely transferable to other watersheds and can be applied to further understand salinization risks and drivers.

","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.4c05004","usgsCitation":"Smith, J.D., Koenig, L.E., Sleckman, M.J., Appling, A.P., Sadler, J., DePaul, V.T., and Szabo, Z., 2024, Predictive understanding of stream salinization in a developed watershed using machine learning: Environmental Science and Technology, v. 58, no. 42, https://doi.org/10.1021/acs.est.4c05004.","productDescription":"12 p.","startPage":"18833","ipdsId":"IP-165549","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":489850,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.4c05004","text":"Publisher Index Page"},{"id":462904,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"42","edition":"18822","noUsgsAuthors":false,"publicationDate":"2024-10-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Jared David 0000-0003-3124-8255","orcid":"https://orcid.org/0000-0003-3124-8255","contributorId":329716,"corporation":false,"usgs":true,"family":"Smith","given":"Jared","email":"","middleInitial":"David","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":915822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koenig, Lauren Elizabeth 0000-0002-7790-330X","orcid":"https://orcid.org/0000-0002-7790-330X","contributorId":295259,"corporation":false,"usgs":true,"family":"Koenig","given":"Lauren","email":"","middleInitial":"Elizabeth","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":915823,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sleckman, Margaux Jeanne 0000-0002-1843-6932","orcid":"https://orcid.org/0000-0002-1843-6932","contributorId":295257,"corporation":false,"usgs":true,"family":"Sleckman","given":"Margaux","email":"","middleInitial":"Jeanne","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":915824,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Appling, Alison P. 0000-0003-3638-8572 aappling@usgs.gov","orcid":"https://orcid.org/0000-0003-3638-8572","contributorId":150595,"corporation":false,"usgs":true,"family":"Appling","given":"Alison","email":"aappling@usgs.gov","middleInitial":"P.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":915825,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sadler, Jeffrey M 0000-0001-8776-4844","orcid":"https://orcid.org/0000-0001-8776-4844","contributorId":302989,"corporation":false,"usgs":false,"family":"Sadler","given":"Jeffrey M","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":915826,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DePaul, Vincent T. 0000-0002-7977-5217 vdepaul@usgs.gov","orcid":"https://orcid.org/0000-0002-7977-5217","contributorId":2778,"corporation":false,"usgs":true,"family":"DePaul","given":"Vincent","email":"vdepaul@usgs.gov","middleInitial":"T.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":915827,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Szabo, Zoltan 0000-0002-0760-9607","orcid":"https://orcid.org/0000-0002-0760-9607","contributorId":203408,"corporation":false,"usgs":true,"family":"Szabo","given":"Zoltan","affiliations":[{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":915828,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70259540,"text":"70259540 - 2024 - Environmental and societal consequences of winter ice loss from lakes","interactions":[],"lastModifiedDate":"2024-10-11T11:56:50.594328","indexId":"70259540","displayToPublicDate":"2024-10-11T06:53:31","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":"Environmental and societal consequences of winter ice loss from lakes","docAbstract":"
More than half a billion people live near lakes that freeze over in the winter. However, lakes are rapidly losing winter ice cover in response to warming, and the rate of loss has accelerated over the past 25 years. Hampton et al. reviewed the state of seasonal ice cover on lakes and discuss some of the consequences of its disappearance. Ice loss will affect culture, economy, water quality, fisheries, and biodiversity, as well as weather and climate. —Jesse Smith
","language":"English","publisher":"Science","doi":"10.1126/science.adl3211","usgsCitation":"Hampton, S.E., Powers, S.M., Dugan, H.A., Knoll, L.B., McMeans, B.C., Meyer, M.F., O’Reilly, C.M., Ozersky, T., Sharma, S., Barrett, D.C., Chandra, S., Jansen, J., McClure, R.P., Rautio, M., Weyhenmeyer, G.A., and Yang, X., 2024, Environmental and societal consequences of winter ice loss from lakes: Science, v. 386, 6718, https://doi.org/10.1126/science.adl3211.","productDescription":"6718","ipdsId":"IP-160304","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":498263,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/science.adl3211","text":"Publisher Index Page"},{"id":462821,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"386","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hampton, Stephanie E.","contributorId":178718,"corporation":false,"usgs":false,"family":"Hampton","given":"Stephanie","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":915664,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powers, Stephen M.","contributorId":35238,"corporation":false,"usgs":false,"family":"Powers","given":"Stephen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":915665,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dugan, Hilary A. 0000-0003-4674-1149","orcid":"https://orcid.org/0000-0003-4674-1149","contributorId":300341,"corporation":false,"usgs":false,"family":"Dugan","given":"Hilary","email":"","middleInitial":"A.","affiliations":[{"id":18002,"text":"University of Wisconsin - Madison","active":true,"usgs":false}],"preferred":false,"id":915666,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Knoll, Lesley B. 0000-0003-0347-5979","orcid":"https://orcid.org/0000-0003-0347-5979","contributorId":194463,"corporation":false,"usgs":false,"family":"Knoll","given":"Lesley","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":915667,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McMeans, Bailey C.","contributorId":203190,"corporation":false,"usgs":false,"family":"McMeans","given":"Bailey","email":"","middleInitial":"C.","affiliations":[{"id":36573,"text":"Department of Integrative Biology, University of Guelph, Guelph, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":915668,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meyer, Michael Frederick 0000-0002-8034-9434 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8034-9434","contributorId":304191,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"Frederick","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":915669,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"O’Reilly, Catherine M.","contributorId":150334,"corporation":false,"usgs":false,"family":"O’Reilly","given":"Catherine","email":"","middleInitial":"M.","affiliations":[{"id":18004,"text":"Illinois State University","active":true,"usgs":false}],"preferred":false,"id":915670,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ozersky, Ted","contributorId":267297,"corporation":false,"usgs":false,"family":"Ozersky","given":"Ted","affiliations":[{"id":55466,"text":"University of Minnesota, Duluth","active":true,"usgs":false}],"preferred":false,"id":915671,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sharma, Sapna","contributorId":150332,"corporation":false,"usgs":false,"family":"Sharma","given":"Sapna","email":"","affiliations":[{"id":16184,"text":"York University","active":true,"usgs":false}],"preferred":false,"id":915672,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Barrett, David C 0000-0001-9038-1860","orcid":"https://orcid.org/0000-0001-9038-1860","contributorId":345113,"corporation":false,"usgs":false,"family":"Barrett","given":"David","email":"","middleInitial":"C","affiliations":[{"id":16660,"text":"University of Calgary","active":true,"usgs":false}],"preferred":false,"id":915673,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Chandra, Sudeep","contributorId":296069,"corporation":false,"usgs":false,"family":"Chandra","given":"Sudeep","affiliations":[{"id":38163,"text":"UNR","active":true,"usgs":false}],"preferred":false,"id":915674,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Jansen, Joachim","contributorId":265843,"corporation":false,"usgs":false,"family":"Jansen","given":"Joachim","email":"","affiliations":[],"preferred":false,"id":915675,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"McClure, Ryan P. 0000-0001-6370-3852","orcid":"https://orcid.org/0000-0001-6370-3852","contributorId":268224,"corporation":false,"usgs":false,"family":"McClure","given":"Ryan","email":"","middleInitial":"P.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":915676,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Rautio, Milla","contributorId":169383,"corporation":false,"usgs":false,"family":"Rautio","given":"Milla","email":"","affiliations":[{"id":25491,"text":"Université du Québec à Chicoutimi, Canada","active":true,"usgs":false}],"preferred":false,"id":915677,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Weyhenmeyer, Gesa A.","contributorId":150314,"corporation":false,"usgs":false,"family":"Weyhenmeyer","given":"Gesa","email":"","middleInitial":"A.","affiliations":[{"id":17988,"text":"Department of Ecology and Genetics/Limnology, Uppsala University, Uppsala, Sweden","active":true,"usgs":false}],"preferred":false,"id":915678,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Yang, Xiao 0000-0002-0046-832X","orcid":"https://orcid.org/0000-0002-0046-832X","contributorId":268230,"corporation":false,"usgs":false,"family":"Yang","given":"Xiao","email":"","affiliations":[{"id":55603,"text":"University of North Carolina Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":915679,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70259776,"text":"70259776 - 2024 - Controls on the stratigraphic architecture of the US Atlantic margin: Processes forming the accommodation space","interactions":[],"lastModifiedDate":"2024-10-24T11:38:30.61824","indexId":"70259776","displayToPublicDate":"2024-10-11T06:36:10","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7167,"text":"Journal of Geophysical Research: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Controls on the stratigraphic architecture of the US Atlantic margin: Processes forming the accommodation space","docAbstract":"

Accommodation space governs the spatial and temporal distributions of sediments in continental margins. Mapping the sedimentation patterns, therefore, offers insights into the solid-Earth processes that shape accommodation space. We assembled an unprecedented amount of seismic and borehole data along the Eastern North American Margin and used it to divide the margin's sedimentary package into eight chronostratigraphic intervals, identifying temporal shifts in depocenters under the continental shelf, slope, and rise. The Jurassic depocenters follow the syn-rift structure and its thermal subsidence loci. The Long Island Platform is the only margin segment where the early post-rift sediment thickness matches subsidence predictions from uniform-stretching models, whereas in Georges Bank Basin (GBB) and Baltimore Canyon Trough (BCT), sediment thickness is 1.5–3 times higher than predicted, pointing to other factors at play. A margin-wide Jurassic transient shoulder uplift is inferred from the occurrence of stratigraphic onlaps above thinned crust. Unlike the Jurassic, the Cretaceous and Cenozoic depocenters disregard the inherited subsidence pattern. The accommodation space over the shelf and coastal plain during the Cretaceous was affected by regional isostatic compensation of the sedimentary loads accumulated on the shelf and rise. Accommodation space development in the GBB was interrupted during the Cretaceous after the margin crossed the Great Meteor Hotspot track, resulting in a widespread permanent uplift, erosion, and sediment redistribution. The distribution of anomalous Neogene subsidence in the BCT challenges previous suggestions of mantle dynamic control on the accommodation space and favors flexural downwarping of the shelf by sediment accumulation on the rise.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JB028713","usgsCitation":"Lang, G., ten Brink, U.S., Hutchinson, D., Mountain, G.S., and Schattner, U., 2024, Controls on the stratigraphic architecture of the US Atlantic margin: Processes forming the accommodation space: Journal of Geophysical Research: Solid Earth, v. 129, no. 10, e2024JB028713, 41 p., https://doi.org/10.1029/2024JB028713.","productDescription":"e2024JB028713, 41 p.","ipdsId":"IP-158085","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":466860,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024jb028713","text":"Publisher Index Page"},{"id":463139,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"129","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-10-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Lang, Guy","contributorId":304702,"corporation":false,"usgs":false,"family":"Lang","given":"Guy","email":"","affiliations":[{"id":66147,"text":"Dept. of Marine Geosciences, University of Haifa","active":true,"usgs":false}],"preferred":false,"id":916647,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"ten Brink, Uri S. 0000-0001-6858-3001","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":201741,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri","email":"","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":916648,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hutchinson, Deborah 0000-0002-2544-5466 dhutchinson@usgs.gov","orcid":"https://orcid.org/0000-0002-2544-5466","contributorId":174836,"corporation":false,"usgs":true,"family":"Hutchinson","given":"Deborah","email":"dhutchinson@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":916649,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mountain, Gregory S.","contributorId":345447,"corporation":false,"usgs":false,"family":"Mountain","given":"Gregory","email":"","middleInitial":"S.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":916650,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schattner, Uri","contributorId":345448,"corporation":false,"usgs":false,"family":"Schattner","given":"Uri","email":"","affiliations":[{"id":38278,"text":"University of Haifa","active":true,"usgs":false}],"preferred":false,"id":916651,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70260177,"text":"70260177 - 2024 - Breeding by western Yellow-billed Cuckoos in xeroriparian habitat in southeastern Arizona","interactions":[],"lastModifiedDate":"2024-10-30T11:36:08.104707","indexId":"70260177","displayToPublicDate":"2024-10-11T06:34:53","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2284,"text":"Journal of Field Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Breeding by western Yellow-billed Cuckoos in xeroriparian habitat in southeastern Arizona","docAbstract":"The identification of occupied habitat is an important component of recovery efforts for threatened and endangered species. The western population of the Yellow-billed Cuckoo (Coccyzus americanus), federally listed as a threatened distinct population segment, has long been considered a riparian-obligate, yet recent survey efforts in southeastern Arizona have documented cuckoos occurring in xeroriparian habitat during the nesting season. We investigated the distribution and breeding status of cuckoos in southeastern Arizona xeroriparian habitat by comparing the results of standardized call-playback surveys to the results of nest searching efforts in the same sites from 2018 to 2020. We then used this information to interpret more extensive survey data from 2013 to 2020 and develop an updated breeding distribution map for southeastern Arizona. We confirmed breeding in 94% of sites categorized as occupied according to survey results. Combining our data with previous survey data, we estimated a minimum of 100 occupied sites in southeastern Arizona xeroriparian habitat, representing a substantial increase in the known breeding population in Arizona. Occupied sites were concentrated in southern and western “Sky Island” mountain and foothill drainages, from 600–1800 m, with xeroriparian vegetation in a matrix of Madrean-evergreen woodland, semi-desert grassland, or desert scrub. Breeding by cuckoos in southeastern Arizona xeroriparian habitat is important for cuckoo conservation, but this habitat also faces potential threats from grazing, climate change, and development.","language":"English","publisher":"Association of Field Ornithologists","doi":"10.5751/JFO-00539-950401","usgsCitation":"Beauregard, N.D., Theimer, T., Drost, C.A., and Sferra, S., 2024, Breeding by western Yellow-billed Cuckoos in xeroriparian habitat in southeastern Arizona: Journal of Field Ornithology, v. 95, no. 4, 1, 20 p., https://doi.org/10.5751/JFO-00539-950401.","productDescription":"1, 20 p.","ipdsId":"IP-163289","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":466861,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/jfo-00539-950401","text":"Publisher Index Page"},{"id":463410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -112.54471187558141,\n 34.75255379032981\n ],\n [\n -112.54471187558141,\n 30.951344721267773\n ],\n [\n -108.23807125058151,\n 30.951344721267773\n ],\n [\n -108.23807125058151,\n 34.75255379032981\n ],\n [\n -112.54471187558141,\n 34.75255379032981\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"95","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Beauregard, Nicholas D.","contributorId":344435,"corporation":false,"usgs":false,"family":"Beauregard","given":"Nicholas","email":"","middleInitial":"D.","affiliations":[{"id":24810,"text":"Department of Biological Sciences, Northern Arizona University, Flagstaff, Arizona, USA","active":true,"usgs":false}],"preferred":false,"id":917315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Theimer, Tad C.","contributorId":344436,"corporation":false,"usgs":false,"family":"Theimer","given":"Tad C.","affiliations":[{"id":24810,"text":"Department of Biological Sciences, Northern Arizona University, Flagstaff, Arizona, USA","active":true,"usgs":false}],"preferred":false,"id":917316,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drost, Charles A. 0000-0002-4792-7095 charles_drost@usgs.gov","orcid":"https://orcid.org/0000-0002-4792-7095","contributorId":3151,"corporation":false,"usgs":true,"family":"Drost","given":"Charles","email":"charles_drost@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":917317,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sferra, Susan J.","contributorId":344437,"corporation":false,"usgs":false,"family":"Sferra","given":"Susan J.","affiliations":[{"id":82343,"text":"Ecological Services, U.S. Fish & Wildlife Services, Tucson, Arizona, USA","active":true,"usgs":false}],"preferred":false,"id":917318,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70259561,"text":"70259561 - 2024 - A dataset of two-dimensional XBeach model set-up files for northern California","interactions":[],"lastModifiedDate":"2024-10-15T11:21:35.038665","indexId":"70259561","displayToPublicDate":"2024-10-11T06:19:24","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5226,"text":"Data","active":true,"publicationSubtype":{"id":10}},"title":"A dataset of two-dimensional XBeach model set-up files for northern California","docAbstract":"Here, we describe a dataset of two-dimensional (2D) XBeach model files that were developed for the Coastal Storm Modeling System (CoSMoS) in northern California as an update to an earlier CoSMoS implementation that relied on one-dimensional (1D) modeling methods. We provide details on the data and their application, such that they might be useful to end-users for other coastal studies. Modeling methods and outputs are presented for Humboldt Bay, California, in which we compare output from a nested 1D modeling approach to 2D model results, demonstrating that the 2D method, while more computationally expensive, results in a more cohesive and directly mappable flood hazard result.","language":"English","publisher":"MDPI","doi":"10.3390/data9100118","usgsCitation":"O'Neill, A., Nederhoff, C.M., Erikson, L.H., Thomas, J.A., and Barnard, P.L., 2024, A dataset of two-dimensional XBeach model set-up files for northern California: Data, v. 9, no. 10, 118, 9 p., https://doi.org/10.3390/data9100118.","productDescription":"118, 9 p.","ipdsId":"IP-164692","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":466862,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/data9100118","text":"Publisher Index Page"},{"id":462866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -125.42255137684569,\n 41.98650412798705\n ],\n [\n -125.42255137684569,\n 38.56798792320478\n ],\n [\n -122.9176685643459,\n 38.56798792320478\n ],\n [\n -122.9176685643459,\n 41.98650412798705\n ],\n [\n -125.42255137684569,\n 41.98650412798705\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"9","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-10-11","publicationStatus":"PW","contributors":{"authors":[{"text":"O'Neill, Andrea C. 0000-0003-1656-4372 aoneill@usgs.gov","orcid":"https://orcid.org/0000-0003-1656-4372","contributorId":5351,"corporation":false,"usgs":true,"family":"O'Neill","given":"Andrea C.","email":"aoneill@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":915752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nederhoff, Cornelis M. 0000-0003-0552-3428","orcid":"https://orcid.org/0000-0003-0552-3428","contributorId":265889,"corporation":false,"usgs":false,"family":"Nederhoff","given":"Cornelis","email":"","middleInitial":"M.","affiliations":[{"id":33886,"text":"Deltares USA","active":true,"usgs":false}],"preferred":true,"id":915753,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":915754,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thomas, Jennifer Anne 0000-0002-8338-0146","orcid":"https://orcid.org/0000-0002-8338-0146","contributorId":297988,"corporation":false,"usgs":true,"family":"Thomas","given":"Jennifer","email":"","middleInitial":"Anne","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":915755,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":915756,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70259564,"text":"70259564 - 2024 - Contemporary fires are less frequent but more severe in dry conifer forests of the southwestern United States","interactions":[],"lastModifiedDate":"2024-10-15T11:08:41.690267","indexId":"70259564","displayToPublicDate":"2024-10-11T06:08:19","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":11444,"text":"Nature Communications Earth & Environment","active":true,"publicationSubtype":{"id":10}},"title":"Contemporary fires are less frequent but more severe in dry conifer forests of the southwestern United States","docAbstract":"

Wildfires in the southwestern United States are increasingly frequent and severe, but whether these trends exceed historical norms remains contested. Here we combine dendroecological records, satellite-derived burn severity, and field measured tree mortality to compare historical (1700-1880) and contemporary (1985-2020) fire regimes at tree-ring fire-scar sites in Arizona and New Mexico. We found that contemporary fire frequency, including recent, record fire years, is still <20% of historical levels. Since 1985, the fire return interval averages 58.8 years, compared to 11.4 years before 1880. Fire severity, however, has increased. At sites where trees historically survived many fires over centuries, 42% of recent fires resulted in high tree mortality. Suppressed wildfires tended to burn more severely than prescribed burns and wildfires managed for resource benefit. These findings suggest that expanded use of low-severity prescribed and managed fire would help restore forest resilience and historical fire regimes in dry conifer forests.

","language":"English","publisher":"Nature","doi":"10.1038/s43247-024-01686-z","usgsCitation":"McClure, E., Cooper, J., Guiterman, C., Margolis, E.Q., and Parks, S., 2024, Contemporary fires are less frequent but more severe in dry conifer forests of the southwestern United States: Nature Communications Earth & Environment, v. 5, 581, 11 p., https://doi.org/10.1038/s43247-024-01686-z.","productDescription":"581, 11 p.","ipdsId":"IP-166623","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":466864,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s43247-024-01686-z","text":"Publisher Index Page"},{"id":462862,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, New 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\"}}]}","volume":"5","noUsgsAuthors":false,"publicationDate":"2024-10-11","publicationStatus":"PW","contributors":{"authors":[{"text":"McClure, E.","contributorId":345125,"corporation":false,"usgs":false,"family":"McClure","given":"E.","email":"","affiliations":[{"id":82494,"text":"NPS Redwood National Park","active":true,"usgs":false}],"preferred":false,"id":915757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cooper, J.D.","contributorId":206457,"corporation":false,"usgs":false,"family":"Cooper","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":915758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guiterman, C.","contributorId":345126,"corporation":false,"usgs":false,"family":"Guiterman","given":"C.","email":"","affiliations":[{"id":25479,"text":"CU Boulder","active":true,"usgs":false}],"preferred":false,"id":915759,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Margolis, Ellis Q. 0000-0002-0595-9005 emargolis@usgs.gov","orcid":"https://orcid.org/0000-0002-0595-9005","contributorId":173538,"corporation":false,"usgs":true,"family":"Margolis","given":"Ellis","email":"emargolis@usgs.gov","middleInitial":"Q.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":915760,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parks, S.","contributorId":345127,"corporation":false,"usgs":false,"family":"Parks","given":"S.","email":"","affiliations":[{"id":7134,"text":"USFS","active":true,"usgs":false}],"preferred":false,"id":915761,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70261019,"text":"70261019 - 2024 - Associations between Ornithodoros spp. ticks and Mojave Desert Tortoises (Gopherus agassizii) obtained from health assessment documents","interactions":[],"lastModifiedDate":"2024-11-20T16:48:10.939442","indexId":"70261019","displayToPublicDate":"2024-10-10T10:44:32","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Associations between Ornithodoros spp. ticks and Mojave Desert Tortoises (Gopherus agassizii) obtained from health assessment documents","title":"Associations between Ornithodoros spp. ticks and Mojave Desert Tortoises (Gopherus agassizii) obtained from health assessment documents","docAbstract":"

Soft ticks in the genus Ornithodoros occur throughout the Mojave Desert in southern Nevada, southeastern California, and parts of southwestern Utah and northwestern Arizona, USA, and are frequently observed parasitizing Mojave desert tortoises (Gopherus agassizii). However, limited research exists examining the relationship between ticks and desert tortoises. Mojave desert tortoises are listed as threatened by the US Fish and Wildlife Service, and as such, their populations are monitored and individual tortoise health is routinely assessed. These health assessments document the presence and abundance of ticks present on tortoises, but detailed examination of the relationship between ticks and tortoise health has been lacking. This study analyzed the relationship between tick presence and desert tortoise health assessments as a function of season, location, age (adult vs. juvenile), foraging behavior, evidence of clinical signs of disease, body condition score, and sex. Our results indicate that more ticks were found on tortoises in the summer than in any other season. Ticks were observed more frequently on captive tortoises versus wild tortoises, and more ticks were likely to be present on adult tortoises than on juveniles. Ticks were also more likely to be observed on tortoises that lacked evidence of foraging and on tortoises with observed clinical signs of disease. These findings provide valuable insights into the biology of ticks in relation to tortoises that may be useful for management of both captive and free-living threatened tortoise populations where ticks are detected. Our study also may improve understanding of potential tick-borne disease dynamics in the Mojave desert tortoise habitat, including Borrelia sp. carried by Ornithodoros ticks, which cause tick-borne relapsing fever in people.

","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/JWD-D-23-00172","usgsCitation":"Bechtel, M.J., Foster, J.T., Esque, T., Nieto, N.C., Drake, K., and Teglas, M.B., 2024, Associations between Ornithodoros spp. ticks and Mojave Desert Tortoises (Gopherus agassizii) obtained from health assessment documents: Journal of Wildlife Diseases, v. 60, no. 4, p. 806-817, https://doi.org/10.7589/JWD-D-23-00172.","productDescription":"12 p.","startPage":"806","endPage":"817","ipdsId":"IP-163831","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":464359,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bechtel, Molly J.","contributorId":346416,"corporation":false,"usgs":false,"family":"Bechtel","given":"Molly","email":"","middleInitial":"J.","affiliations":[{"id":82863,"text":"Arizona State University; Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":918942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foster, Jeffrey T.","contributorId":177905,"corporation":false,"usgs":false,"family":"Foster","given":"Jeffrey","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":918943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Esque, Todd 0000-0002-4166-6234 tesque@usgs.gov","orcid":"https://orcid.org/0000-0002-4166-6234","contributorId":195896,"corporation":false,"usgs":true,"family":"Esque","given":"Todd","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":918944,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nieto, Nathan C.","contributorId":346417,"corporation":false,"usgs":false,"family":"Nieto","given":"Nathan","email":"","middleInitial":"C.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":918945,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Drake, Kristina","contributorId":346418,"corporation":false,"usgs":false,"family":"Drake","given":"Kristina","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":918946,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Teglas, Mike B.","contributorId":346419,"corporation":false,"usgs":false,"family":"Teglas","given":"Mike","email":"","middleInitial":"B.","affiliations":[{"id":24706,"text":"University of Nevada-Reno","active":true,"usgs":false}],"preferred":false,"id":918947,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70261799,"text":"70261799 - 2024 - Perspectives on the future of ecology, evolution, and biodiversity from the Council on Microbial Sciences of the American Society for Microbiology","interactions":[],"lastModifiedDate":"2024-12-23T17:11:56.484758","indexId":"70261799","displayToPublicDate":"2024-10-10T10:02:42","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5160,"text":"mSphere","active":true,"publicationSubtype":{"id":10}},"title":"Perspectives on the future of ecology, evolution, and biodiversity from the Council on Microbial Sciences of the American Society for Microbiology","docAbstract":"The field of microbial ecology, evolution, and biodiversity (EEB) is at the leading edge of understanding how microbes shape our biosphere and influence the well-being of humankind. To that end, EEB is developing new tools to analyze the massive, complex, transdisciplinary datasets that result from such studies. The American Society for Microbiology’s Council on Microbial Sciences hosted a virtual retreat in 2023 to identify the trajectory of EEB both within the Society and microbiology at large. Retreat presentations and discussions collectively emphasized the interconnectedness of microbes and their outsized global influence on environmental and host health. The retreat repeatedly emphasized that the future of science is through transdisciplinary collaborations that promote integration of diverse datasets and advanced technologies, while also genuinely fostering inclusivity, global collaborations, and public engagement. 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Bayesian statistics is a framework in which our knowledge about unknown quantities of interest (especially parameters) is updated with the information in observed data, though it can also be viewed as simply another method to fit a statistical model. It has become popular in many branches of biology. For context, five of the ten most cited papers in Web of Science with keywords 'Bayesian statistics' are related to biology (as of August 19, 2024). Bayesian statistics is particularly valuable for biology because it allows researchers to incorporate prior knowledge, handle complex systems, and work effectively with limited or messy data. However, most biologists are trained in frequentist techniques, and the learning curve to become fluent in Bayesian statistics may be perceived as too time-consuming to undertake, or the prospect of adopting an unfamiliar statistical framework can simply appear too daunting. We provide a list of 10 tips to help you get started with Bayesian statistics. You can also refer to the Glossary for definitions of the technical terms. This paper isn’t just for newcomers; even those with some experience in Bayesian methods may find it a useful roadmap to design, conduct, and publish Bayesian analyses. We’ve drawn mainly on our experience teaching and working with ecologists, but we hope these tips will be relevant to a broader audience of biologists. For those seeking to deepen their understanding, we point to more comprehensive resources that offer in-depth exploration of Bayesian statistics.

","language":"English","publisher":"HAL Open Science","usgsCitation":"Gimenez, O., Royle, A., Kery, M., and Nater, C., 2024, Ten quick tips to get you started with Bayesian statistics: HAL Open Science.","productDescription":"15 p.","ipdsId":"IP-174716","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":483930,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://hal.science/hal-04731240v1"},{"id":483932,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gimenez, Olivier","contributorId":352825,"corporation":false,"usgs":false,"family":"Gimenez","given":"Olivier","affiliations":[{"id":16636,"text":"CNRS","active":true,"usgs":false}],"preferred":false,"id":932231,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":932232,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kery, Marc","contributorId":168361,"corporation":false,"usgs":false,"family":"Kery","given":"Marc","affiliations":[{"id":12551,"text":"Swiss Ornithological Institute, Sempach, Switzerland","active":true,"usgs":false}],"preferred":false,"id":932233,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nater, Chloe","contributorId":352861,"corporation":false,"usgs":false,"family":"Nater","given":"Chloe","affiliations":[{"id":33046,"text":"Norwegian Institute for Nature Research","active":true,"usgs":false}],"preferred":false,"id":932234,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70259737,"text":"70259737 - 2024 - Phenology forecasting models for detection and management of invasive annual grasses","interactions":[],"lastModifiedDate":"2024-10-22T12:13:11.576621","indexId":"70259737","displayToPublicDate":"2024-10-10T07:11:39","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Phenology forecasting models for detection and management of invasive annual grasses","docAbstract":"

Non-native annual grasses can dramatically alter fire frequency and reduce forage quality and biodiversity in the ecosystems they invade. Effective management techniques are needed to reduce these undesirable invasive species and maintain ecosystem services. Well-timed management strategies, such as grazing, that are applied when invasive grasses are active prior to native plants can control invasive species spread and reduce their impact; however, anticipating the timing of key phenological stages that are susceptible to management over vast landscapes is difficult, as the phenology of these species can vary greatly over time and space. To address this challenge, we created range-wide phenology forecasts for two problematic invasive annual grasses: cheatgrass (Bromus tectorum), and red brome (Bromus rubens). We tested a suite of 18 mechanistic phenology models using observations from monitoring experiments, volunteer science, herbarium records, timelapse camera imagery, and downscaled gridded climate data to identify the models that best predicted the dates of flowering and senescence of the two invasive grass species. We found that the timing of flowering and senescence of cheatgrass and red brome were best predicted by photothermal time models that had been adjusted for topography using gridded continuous heat-insolation load index values. Phenology forecasts based on these models can help managers make decisions about when to schedule management actions such as grazing to reduce undesirable invasive grasses and promote forage production, quality, and biodiversity in grasslands; to predict the timing of greatest fire risk after annual grasses dry out; and to select remote sensing imagery to accurately map invasive grasses across topographic and latitudinal gradients. These phenology models also have the potential to be operationalized for within-season or within-year decision support.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70023","usgsCitation":"Prevey, J.S., Pearse, I., Blumenthal, D.M., Howell, A.J., Kray, J.A., Reed, S., Stephenson, M.B., and Jarnevich, C.S., 2024, Phenology forecasting models for detection and management of invasive annual grasses: Ecosphere, v. 10, no. 15, e70023, 16 p., https://doi.org/10.1002/ecs2.70023.","productDescription":"e70023, 16 p.","ipdsId":"IP-160719","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":466866,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70023","text":"Publisher Index Page"},{"id":463089,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"15","noUsgsAuthors":false,"publicationDate":"2024-10-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Prevey, Janet S. 0000-0003-2879-6453","orcid":"https://orcid.org/0000-0003-2879-6453","contributorId":222702,"corporation":false,"usgs":true,"family":"Prevey","given":"Janet","email":"","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":916528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearse, Ian S. 0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":211154,"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":916529,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blumenthal, Dana M.","contributorId":203896,"corporation":false,"usgs":false,"family":"Blumenthal","given":"Dana","email":"","middleInitial":"M.","affiliations":[{"id":36745,"text":"USDA-ARS Rangeland Resources Research Unit","active":true,"usgs":false}],"preferred":false,"id":916530,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Howell, Armin J. 0000-0003-1243-0238 ahowell@usgs.gov","orcid":"https://orcid.org/0000-0003-1243-0238","contributorId":196798,"corporation":false,"usgs":true,"family":"Howell","given":"Armin","email":"ahowell@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":916531,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kray, Julie A.","contributorId":343879,"corporation":false,"usgs":false,"family":"Kray","given":"Julie","email":"","middleInitial":"A.","affiliations":[{"id":82235,"text":"Rangeland Resources & Systems Research Unit, USDA-ARS; 2150 Centre Avenue, Fort Collins, CO 80526, USA","active":true,"usgs":false}],"preferred":false,"id":916532,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":207498,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":916533,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stephenson, Mitchell B.","contributorId":343880,"corporation":false,"usgs":false,"family":"Stephenson","given":"Mitchell","email":"","middleInitial":"B.","affiliations":[{"id":82238,"text":"Panhandle Research, and Extension, and Education Center, University of Nebraska-Lincoln; 4502 Avenue I, Scottsbluff, NE 69361, USA","active":true,"usgs":false}],"preferred":false,"id":916534,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":916535,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70263854,"text":"70263854 - 2024 - Linking resource selection to population performance spatially to identify species' habitat across broad scales: An example of greater sage-grouse in a distinct population segment","interactions":[],"lastModifiedDate":"2025-02-26T21:18:34.184353","indexId":"70263854","displayToPublicDate":"2024-10-10T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Linking resource selection to population performance spatially to identify species' habitat across broad scales: An example of greater sage-grouse in a distinct population segment","docAbstract":"

Management decisions often focus on the habitat selection of marked individuals without considering the contribution to demographic performance in selected habitats. Because habitat selection is not always adaptive, understanding the spatial relationship between habitat selection and demographic performance is critical to management decisions. Mapping both habitat selection and demographic performance for species of conservation concern can help guide population-scale conservation efforts. We demonstrate a quantitative approach to differentiate areas supporting selection and survival at large spatial extents. As a case study, we applied this approach to greater sage-grouse (Centrocercus urophasianus; hereafter, sage-grouse), an indicator species for sagebrush ecosystems. We evaluated both habitat selection and survival across multiple reproductive life stages (nesting, brood-rearing) in the Bi-State Distinct Population Segment, a genetically distinct and geographically isolated population of sage-grouse on the southwestern edge of the species' range. Our approach allowed us to identify both mismatches between selection and survival and trade-offs between reproductive life stages. These findings suggest resource demands vary across time, with predation risk being a dominant driver of habitat selection during nesting and early brood-rearing periods when chicks are smaller and flightless, whereas access to forage resources becomes more important during late brood rearing when resources become increasingly limited. Moving beyond identifying and managing habitat solely based on species occupancy or use by incorporating demographic measures allows managers to tailor actions to their specific goals; for example, protections of areas that support high selection and high survival and restoration actions focused on increasing survival in areas of high selection and low survival.

","language":"English","publisher":"Wiley","doi":"10.1002/ece3.10891","usgsCitation":"Milligan, M.C., Coates, P.S., Brussee, B.E., O’Neil, S.T., Mathews, S.R., Espinosa, S.P., Miller, K., Skalos, D., Wiechman, L.A., Abele, S., Boone, J., Boatner, K., Stone, H., and Casazza, M.L., 2024, Linking resource selection to population performance spatially to identify species' habitat across broad scales: An example of greater sage-grouse in a distinct population segment: Ecology and Evolution, v. 14, no. 10, e10891, 15 p., https://doi.org/10.1002/ece3.10891.","productDescription":"e10891, 15 p.","ipdsId":"IP-145309","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":487697,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.10891","text":"Publisher Index 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Tropical cyclones (coastal storm events that include tropical depressions, tropical storms, and hurricanes) cause landscape-scale disturbances that can lead to impaired water quality and thus reduce water availability for use. Stakeholders and scientists at local and national scales have illustrated a need for understanding these risks to water quality. A regional and comprehensive understanding of the impacts of tropical storms and hurricanes on surface-water and groundwater quality—and thus water availability—is lacking for potentially impacted coastal and inland areas. As the U.S. Geological Survey considers development of tools to predict the extent to which water-quality impacts of hurricanes affect water availability, an assessment of the state of the science of hurricane impacts is needed, including a gap analysis and prioritization of data and science needs. This assessment focuses on the southeastern coastal States.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241048","usgsCitation":"Windham-Myers, L., Root, T.L., Petkewich, M.D., Musgrove, M., Gill, A.C., Weaver, J.C., Conaway, C.H., Lindsey, B.D., Parchaso, F., Knowles, N., and Tomaszewski, E.J., 2024, State of science, gap analysis, and prioritization for southeastern United States water-quality impacts from coastal storms—Fiscal year 2023 program report to the Water Resources Mission Area from the Water Availability Impacts of Extreme Events Program—Hurricanes: U.S. Geological Survey Open-File Report 2024–1048, 64 p., https://doi.org/10.3133/ofr20241048.","productDescription":"vii, 64 p.","numberOfPages":"76","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-158415","costCenters":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":497944,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117648.htm","linkFileType":{"id":5,"text":"html"}},{"id":462753,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1048/ofr20241048.pdf","text":"Report","size":"8.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024-1048"},{"id":462752,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1048/coverthb.jpg"}],"country":"United States","otherGeospatial":"southeastern United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -68.26046308814853,\n 43.34065198513025\n ],\n [\n -71.1713607133797,\n 43.55896502744753\n ],\n [\n -75.09417377891708,\n 40.41702622060157\n ],\n [\n -76.94176883383484,\n 39.38997863980981\n ],\n [\n -77.22164958897736,\n 35.4797326167386\n ],\n [\n -81.98694844837883,\n 31.03632790667575\n ],\n [\n -91.39626305044476,\n 30.5137107036077\n ],\n [\n -91.2989713852823,\n 28.512692779158414\n ],\n [\n -88.18175904626855,\n 28.79591613221004\n ],\n [\n -86.89387148001948,\n 29.79601367137508\n ],\n [\n -83.99773737243493,\n 28.705053633372273\n ],\n [\n -82.26744490204806,\n 24.549161920326497\n ],\n [\n -81.77772710856374,\n 24.25613293881912\n ],\n [\n -79.25395823346736,\n 25.669131592981728\n ],\n [\n -80.8137017138734,\n 30.79934564119985\n ],\n [\n -75.38603247990801,\n 34.830905137914925\n ],\n [\n -74.53299323261764,\n 37.55917715000662\n ],\n [\n -72.8924569187813,\n 40.11126942721674\n ],\n [\n -69.38684780759837,\n 40.8712632604325\n ],\n [\n -69.5648600647653,\n 42.87442943706927\n ],\n [\n -68.26046308814853,\n 43.34065198513025\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, Earth System Processes Division
Water Resources Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2024-10-09","noUsgsAuthors":false,"publicationDate":"2024-10-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Windham-Myers, Lisamarie 0000-0003-0281-9581 lwindham-myers@usgs.gov","orcid":"https://orcid.org/0000-0003-0281-9581","contributorId":2449,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","email":"lwindham-myers@usgs.gov","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},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":915467,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Root, Tara L. 0000-0002-2638-7835","orcid":"https://orcid.org/0000-0002-2638-7835","contributorId":331022,"corporation":false,"usgs":true,"family":"Root","given":"Tara","email":"","middleInitial":"L.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":915468,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Petkewich, Matthew D. 0000-0002-5749-6356 mdpetkew@usgs.gov","orcid":"https://orcid.org/0000-0002-5749-6356","contributorId":982,"corporation":false,"usgs":true,"family":"Petkewich","given":"Matthew","email":"mdpetkew@usgs.gov","middleInitial":"D.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":915469,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Musgrove, MaryLynn 0000-0003-1607-3864","orcid":"https://orcid.org/0000-0003-1607-3864","contributorId":223710,"corporation":false,"usgs":true,"family":"Musgrove","given":"MaryLynn","email":"","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":915470,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gill, Amy C. 0000-0002-5738-9390","orcid":"https://orcid.org/0000-0002-5738-9390","contributorId":331063,"corporation":false,"usgs":true,"family":"Gill","given":"Amy C.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":915471,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Weaver, J. Curtis 0000-0001-7068-5445 jcweaver@usgs.gov","orcid":"https://orcid.org/0000-0001-7068-5445","contributorId":2229,"corporation":false,"usgs":true,"family":"Weaver","given":"J.","email":"jcweaver@usgs.gov","middleInitial":"Curtis","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":915472,"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":915473,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lindsey, Bruce D. 0000-0002-7180-4319 blindsey@usgs.gov","orcid":"https://orcid.org/0000-0002-7180-4319","contributorId":175346,"corporation":false,"usgs":true,"family":"Lindsey","given":"Bruce","email":"blindsey@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":915474,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Parchaso, Francis 0000-0002-9471-7787 parchaso@usgs.gov","orcid":"https://orcid.org/0000-0002-9471-7787","contributorId":150620,"corporation":false,"usgs":true,"family":"Parchaso","given":"Francis","email":"parchaso@usgs.gov","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":915475,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Knowles, Noah 0000-0001-5652-1049","orcid":"https://orcid.org/0000-0001-5652-1049","contributorId":206338,"corporation":false,"usgs":true,"family":"Knowles","given":"Noah","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":915476,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Tomaszewski, Elizabeth J. 0000-0003-1211-7524","orcid":"https://orcid.org/0000-0003-1211-7524","contributorId":333860,"corporation":false,"usgs":true,"family":"Tomaszewski","given":"Elizabeth","email":"","middleInitial":"J.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":915477,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70259486,"text":"70259486 - 2024 - Hyperspectral Image Transects during Transient Events in Rivers (HITTER): Framework development and application to a tracer experiment on the Missouri River, USA","interactions":[],"lastModifiedDate":"2024-10-10T14:22:54.020052","indexId":"70259486","displayToPublicDate":"2024-10-09T08:46:59","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Hyperspectral Image Transects during Transient Events in Rivers (HITTER): Framework development and application to a tracer experiment on the Missouri River, USA","docAbstract":"

Rivers convey a broad range of materials, such as sediment, nutrients, and contaminants. Much of this transport can occur during or immediately after an episodic, pulsed event like a flood or an oil spill. Understanding the flow processes that influence the motion of these substances is important for managing water resources and conserving aquatic ecosystems. This study introduces a new remote sensing framework for characterizing dynamic phenomena at the scale of a channel cross-section: Hyperspectral Image Transects during Transient Events in Rivers (HITTER). We present a workflow that uses repeated hyperspectral scan lines acquired from a hovering uncrewed aircraft system (UAS) to quantify how a water attribute of interest varies laterally across the river and evolves over time. Data from a tracer experiment on the Missouri River are used to illustrate the components of the end-to-end processing chain we used to quantify the passage of a visible dye. The framework is intended to be flexible and could be applied in a number of different contexts. The results of this initial proof-of-concept investigation suggest that HITTER could potentially provide insight regarding the dispersion of a range of materials in rivers, which would facilitate ecological and geomorphic studies and help inform management.

","language":"English","publisher":"MDPI","doi":"10.3390/rs16193743","usgsCitation":"Legleiter, C.J., Scholl, V.M., Sansom, B.J., and Burgess, M.A., 2024, Hyperspectral Image Transects during Transient Events in Rivers (HITTER): Framework development and application to a tracer experiment on the Missouri River, USA: Remote Sensing, v. 19, no. 16, 3743, 33 p., https://doi.org/10.3390/rs16193743.","productDescription":"3743, 33 p.","ipdsId":"IP-169440","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":466867,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs16193743","text":"Publisher Index Page"},{"id":462788,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"16","noUsgsAuthors":false,"publicationDate":"2024-10-09","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":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":915478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scholl, Victoria Mary 0000-0002-2085-1449","orcid":"https://orcid.org/0000-0002-2085-1449","contributorId":295713,"corporation":false,"usgs":true,"family":"Scholl","given":"Victoria","email":"","middleInitial":"Mary","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":915479,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sansom, Brandon James 0000-0001-7999-9547","orcid":"https://orcid.org/0000-0001-7999-9547","contributorId":289636,"corporation":false,"usgs":true,"family":"Sansom","given":"Brandon","email":"","middleInitial":"James","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":915480,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burgess, Matthew Alexander 0000-0003-3487-4972 mburgess@usgs.gov","orcid":"https://orcid.org/0000-0003-3487-4972","contributorId":225090,"corporation":false,"usgs":true,"family":"Burgess","given":"Matthew","email":"mburgess@usgs.gov","middleInitial":"Alexander","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":915481,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70259698,"text":"70259698 - 2024 - Quantification of threats to bats at localized spatial scales for conservation and management","interactions":[],"lastModifiedDate":"2024-10-19T13:16:42.798926","indexId":"70259698","displayToPublicDate":"2024-10-09T08:13:54","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7774,"text":"PLoSOne","active":true,"publicationSubtype":{"id":10}},"title":"Quantification of threats to bats at localized spatial scales for conservation and management","docAbstract":"

In a rapidly changing world, where species conservation needs vary by local habitat, concentrated conservation efforts at small spatial scales can be critical. Bats provide an array of value to the ecosystems they inhabit; many bat species are also of conservation concern. San Diego County, California, contains 22 of the 41 bat species that occur in the United States, 16 of which are on conservation watchlists. Thus, management of bat communities in San Diego County is a pressing need. Because bats exploit vast areas of the landscape and historical sampling strategies have shifted over time, a standardized way of prioritizing areas of the landscape for management would provide an integral asset to bat conservation. We leveraged long-term bat community survey data from sampling areas across San Diego County to prioritize areas with the most management need. We calculated two types of scores: species scores and threat scores. Species scores incorporated richness and conservation status, and threat scores included landscape level threats that bats could encounter. We found that urbanization, the presence of artificial lights, and areas sampled on unconserved land were all significantly associated with decreases in species richness. Further, using species and threat scores, each sampling area was placed into one of four conservation categories, in order from greatest to least conservation need, ranging from highest priority (high species score, high threat score) to lowest (low species score, low threat score). Additionally, we focused on sampling areas in which Townsend’s big-eared bat (Corynorhinus townsendii) and/or pallid bat (Antrozous pallidus) occurred. These two species are of exceptional conservation concern in San Diego County and across the western United States. We identified urbanization, the presence of artificial lights, and areas sampled on unconserved land as threats that were all significantly associated with the absence of Townsend’s big-eared bat, but not pallid bat. The strategy, methodology, and solutions proposed in our study should assist bat conservation and management efforts wherever bats occur, and can be extended to other species that require conservation attention.

","language":"English","publisher":"PlosOne","doi":"10.1371/journal.pone.0310812","usgsCitation":"Myers, B.M., Stokes, D., Preston, K.L., Fisher, R., and Vandergast, A.G., 2024, Quantification of threats to bats at localized spatial scales for conservation and management: PLoSOne, v. 19, no. 10, e0310812, 24 p., https://doi.org/10.1371/journal.pone.0310812.","productDescription":"e0310812, 24 p.","ipdsId":"IP-167585","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":466868,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0310812","text":"Publisher Index Page"},{"id":463041,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"San Diego County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.49211261751422,\n 33.10326132880121\n ],\n [\n -117.49211261751422,\n 32.508113804090186\n ],\n [\n -116.32057188212111,\n 32.508113804090186\n ],\n [\n -116.32057188212111,\n 33.10326132880121\n ],\n [\n -117.49211261751422,\n 33.10326132880121\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"19","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-10-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Myers, Brian M.","contributorId":345341,"corporation":false,"usgs":false,"family":"Myers","given":"Brian","email":"","middleInitial":"M.","affiliations":[{"id":82550,"text":"U.S. Geological Survey, Western Ecological Research Center","active":true,"usgs":false}],"preferred":false,"id":916360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stokes, Drew","contributorId":345342,"corporation":false,"usgs":false,"family":"Stokes","given":"Drew","affiliations":[{"id":16175,"text":"San Diego Natural History Museum","active":true,"usgs":false}],"preferred":false,"id":916361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Preston, Kristine L. 0000-0002-6958-1128 kpreston@usgs.gov","orcid":"https://orcid.org/0000-0002-6958-1128","contributorId":207765,"corporation":false,"usgs":true,"family":"Preston","given":"Kristine","email":"kpreston@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":916362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fisher, Robert N. 0000-0002-2956-3240","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":51675,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":916363,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vandergast, Amy G. 0000-0002-7835-6571","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":57201,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":916364,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70259504,"text":"70259504 - 2024 - Continental-scale nutrient and contaminant delivery by Pacific salmon","interactions":[],"lastModifiedDate":"2024-10-23T16:21:44.772681","indexId":"70259504","displayToPublicDate":"2024-10-09T07:19:23","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"Continental-scale nutrient and contaminant delivery by Pacific salmon","docAbstract":"

The movement of large amounts of nutrients by migrating animals has ecological benefits for recipient food webs1,2 that may be offset by co-transported contaminants3,4. Salmon spawning migrations are archetypal of this process, carrying marine-derived materials to inland ecosystems where they stimulate local productivity but also enhance contaminant exposure5,6,7. Pacific salmon abundance and biomass are higher now than in the last century, reflecting substantial shifts in community structure8 that probably altered nutrient versus contaminant delivery. Here we combined nutrient and contaminant concentrations with 40 years of annual Pacific salmon returns to quantify how changes in community structure influenced marine to freshwater inputs to western North America. Salmon transported tonnes of nutrients and kilograms of contaminants to freshwaters annually. Higher salmon returns (1976–2015) increased salmon-derived nutrient and contaminant inputs by 30% and 20%, respectively. These increases were dominated by pink salmon, which are short-lived, feed lower in marine food webs than other salmon species, and had the highest nutrient-to-contaminant ratios. As a result, the delivery of nutrients increased at a greater rate than the delivery of contaminants, and salmon inputs became more ecologically beneficial over time. Even still, contaminant loadings may represent exposure concerns for some salmon predators. The Pacific salmon example demonstrates how long-term environmental changes interact with nutrient and contaminant movement across large spatial scales and provides a model for exploring similar patterns with other migratory species.

","language":"English","publisher":"Nature","doi":"10.1038/s41586-024-07980-2","usgsCitation":"Brandt, J.E., Wesner, J., Ruggerone, G., Jardine, T.D., Eagles-Smith, C., Ruso, G., Stricker, C.A., Voss, C.A., and Walters, D., 2024, Continental-scale nutrient and contaminant delivery by Pacific salmon: Nature, v. 634, p. 875-882, https://doi.org/10.1038/s41586-024-07980-2.","productDescription":"8 p.","startPage":"875","endPage":"882","ipdsId":"IP-154909","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":466869,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41586-024-07980-2","text":"Publisher Index Page"},{"id":462785,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"634","noUsgsAuthors":false,"publicationDate":"2024-10-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Brandt, Jessica E.","contributorId":329987,"corporation":false,"usgs":false,"family":"Brandt","given":"Jessica","email":"","middleInitial":"E.","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":915519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wesner, Jeff S.","contributorId":268319,"corporation":false,"usgs":false,"family":"Wesner","given":"Jeff S.","affiliations":[{"id":55622,"text":"University of South Dakota, Department of Biology, 414 E. Clark St., Vermillion, SD","active":true,"usgs":false}],"preferred":false,"id":915520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruggerone, Gregory T.","contributorId":345066,"corporation":false,"usgs":false,"family":"Ruggerone","given":"Gregory T.","affiliations":[{"id":82477,"text":"Natural Resources Consultants, Inc.","active":true,"usgs":false}],"preferred":false,"id":915521,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jardine, Timothy D.","contributorId":305313,"corporation":false,"usgs":false,"family":"Jardine","given":"Timothy","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":915522,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":221745,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":915525,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ruso, Gabrielle E.","contributorId":345067,"corporation":false,"usgs":false,"family":"Ruso","given":"Gabrielle E.","affiliations":[{"id":13706,"text":"University of Missouri-Columbia","active":true,"usgs":false}],"preferred":false,"id":915523,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":915526,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Voss, Cristofor A.","contributorId":345068,"corporation":false,"usgs":false,"family":"Voss","given":"Cristofor","email":"","middleInitial":"A.","affiliations":[{"id":50031,"text":"Regis University","active":true,"usgs":false}],"preferred":false,"id":915524,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Walters, David 0000-0002-4237-2158","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":203410,"corporation":false,"usgs":true,"family":"Walters","given":"David","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":915527,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70259588,"text":"70259588 - 2024 - Discerning sediment provenance in the Outer Banks (USA) through detrital zircon geochronology","interactions":[],"lastModifiedDate":"2024-10-16T11:46:42.605329","indexId":"70259588","displayToPublicDate":"2024-10-09T06:44:22","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Discerning sediment provenance in the Outer Banks (USA) through detrital zircon geochronology","docAbstract":"
Detrital zircon data from modern barrier island and estuarine environments in the Outer Banks (Atlantic Coast, USA) were statistically compared to sands from nearby rivers to assist in determining source-to-sink pathways. Fluvial samples, collected from near the Fall Line contact between the Appalachian Orogen and sediments of the coastal plain, all have age unique distributions, making them ideal for tracing provenance. Three samples from the Atlantic foreshore showed high similarities to one another, as well as to three samples from the estuarine (back-barrier) Pamlico and Albemarle Sounds. Mixture modeling with multiple data reduction methods and three different statistical tests for similarity consistently indicated that the nearby Potomac River was the primary source for all Atlantic foreshore and estuarine zircons, followed by minor contributions from the James River in some models. The models indicate little or no sediment contribution from the Susquehanna, Roanoke, Tar, Neuse, Cape Fear, and Peedee Rivers. Both Atlantic foreshore and estuarine sands are therefore interpreted to have initially originated from Appalachian bedrock to the north of their present-day location, and subsequently to have been transported southward through the Chesapeake Bay watershed before deposition in Virginia and North Carolina. Prior to barrier island formation in the last several thousand years, differing geomorphology of the Chesapeake Bay facilitated southward movement of sediments from its constituent rivers via longshore drift, where they were deposited in coastal settings on the mainland. The modern barrier islands, formed during the most recent post-glacial transgression, may be reworked from these deposits, but may also include a contribution from sediments that were derived more recently from relict deposits on the shelf. Oceanographic and sedimentological evidence suggests that movement of sand-sized grains from southern rivers across the back-barrier sounds is unlikely. These findings can assist with coastal resilience planning and resource management in a region under severe threat from climate change and rising sea levels.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2024.107409","usgsCitation":"Counts, J.W., Gooley, J.T., Long, J., Craddock, W.H., and O’Sullivan, P., 2024, Discerning sediment provenance in the Outer Banks (USA) through detrital zircon geochronology: Marine Geology, v. 477, 107409, 16 p., https://doi.org/10.1016/j.margeo.2024.107409.","productDescription":"107409, 16 p.","ipdsId":"IP-159754","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":466870,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.margeo.2024.107409","text":"Publisher Index Page"},{"id":462900,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, Virgina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.80482166680514,\n 35.12698752159517\n ],\n [\n -75.4205443230554,\n 35.12698752159517\n ],\n [\n -75.4205443230554,\n 37.04454803695408\n ],\n [\n -76.80482166680514,\n 37.04454803695408\n ],\n [\n -76.80482166680514,\n 35.12698752159517\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"477","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Counts, John W. 0000-0001-7374-6928","orcid":"https://orcid.org/0000-0001-7374-6928","contributorId":248711,"corporation":false,"usgs":true,"family":"Counts","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":915829,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gooley, Jared T. 0000-0001-5620-3702","orcid":"https://orcid.org/0000-0001-5620-3702","contributorId":248710,"corporation":false,"usgs":true,"family":"Gooley","given":"Jared","email":"","middleInitial":"T.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":915830,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Long, Joshua","contributorId":345148,"corporation":false,"usgs":false,"family":"Long","given":"Joshua","affiliations":[{"id":82500,"text":"0000-0003-2357-3525","active":true,"usgs":false}],"preferred":false,"id":915831,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Craddock, William H. 0000-0002-4181-4735 wcraddock@usgs.gov","orcid":"https://orcid.org/0000-0002-4181-4735","contributorId":3411,"corporation":false,"usgs":true,"family":"Craddock","given":"William","email":"wcraddock@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":915832,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O’Sullivan, Paul 0000-0002-7247-5107","orcid":"https://orcid.org/0000-0002-7247-5107","contributorId":254377,"corporation":false,"usgs":false,"family":"O’Sullivan","given":"Paul","email":"","affiliations":[{"id":51089,"text":"Geosep Services","active":true,"usgs":false}],"preferred":false,"id":915833,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}