{"pageNumber":"202","pageRowStart":"5025","pageSize":"25","recordCount":165308,"records":[{"id":70250188,"text":"70250188 - 2024 - Divergent community trajectories with climate change across a fine-scale gradient in snow depth","interactions":[],"lastModifiedDate":"2024-01-24T17:55:18.676985","indexId":"70250188","displayToPublicDate":"2023-11-22T07:22:16","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Divergent community trajectories with climate change across a fine-scale gradient in snow depth","docAbstract":"
  1. Fine-scale microclimate variation due to complex topography can shape both current vegetation distributional patterns and how vegetation responds to changing climate. Topographic heterogeneity in mountains is hypothesized to mediate responses to regional climate change at the scale of metres. For alpine vegetation especially, the interplay between changing temperatures and topographically mediated variation in snow accumulation will determine the overall impact of climate change on vegetation dynamics.
  2. We combined 30 years of co-located measurements of temperature, snow and alpine plant community composition in Colorado, USA, to investigate vegetation community trajectories across a snow depth gradient.
  3. Our analysis of long-term trends in plant community composition revealed notable directional change in the alpine vegetation with warming temperatures. Furthermore, community trajectories are divergent across the snow depth gradient, with exposed parts of the landscape that experience little snow accumulation shifting towards stress-tolerant, cold- and drought-adapted communities, while snowier areas shifted towards more warm-adapted communities.
  4. Synthesis: Our findings demonstrate that fine-scale topography can mediate both the magnitude and direction of vegetation responses to climate change. We documented notable shifts in plant community composition over a 30-year period even though alpine vegetation is known for slow dynamics that often lag behind environmental change. These results suggest that the processes driving alpine plant population and community dynamics at this site are strong and highly heterogeneous across the complex topography that is characteristic of high-elevation mountain systems.
","language":"English","publisher":"Wiley","doi":"10.1111/1365-2745.14223","usgsCitation":"Oldfather, M.F., Elmendorf, S.C., Van Cleemput, E., Henn, J.J., Huxley, J.D., White, C.T., Humphries, H.C., Spasojevic, M., Suding, K.N., and Emery, N.C., 2024, Divergent community trajectories with climate change across a fine-scale gradient in snow depth: Journal of Ecology, v. 112, no. 1, p. 126-137, https://doi.org/10.1111/1365-2745.14223.","productDescription":"12 p.","startPage":"126","endPage":"137","ipdsId":"IP-150191","costCenters":[{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":441018,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2745.14223","text":"Publisher Index Page"},{"id":423012,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"112","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-11-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Oldfather, Meagan Ford 0000-0003-3256-4786","orcid":"https://orcid.org/0000-0003-3256-4786","contributorId":331767,"corporation":false,"usgs":true,"family":"Oldfather","given":"Meagan","email":"","middleInitial":"Ford","affiliations":[{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":888733,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elmendorf, Sarah C.","contributorId":316409,"corporation":false,"usgs":false,"family":"Elmendorf","given":"Sarah","email":"","middleInitial":"C.","affiliations":[{"id":68581,"text":"Memorial University, Newfoundland","active":true,"usgs":false}],"preferred":false,"id":888734,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Cleemput, Elisa","contributorId":331768,"corporation":false,"usgs":false,"family":"Van Cleemput","given":"Elisa","email":"","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":888735,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Henn, Jonathan J.","contributorId":331770,"corporation":false,"usgs":false,"family":"Henn","given":"Jonathan","email":"","middleInitial":"J.","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":888736,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Huxley, Jared D.","contributorId":331772,"corporation":false,"usgs":false,"family":"Huxley","given":"Jared","email":"","middleInitial":"D.","affiliations":[{"id":13325,"text":"University of California Riverside","active":true,"usgs":false}],"preferred":false,"id":888737,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"White, Caitlin T.","contributorId":331775,"corporation":false,"usgs":false,"family":"White","given":"Caitlin","email":"","middleInitial":"T.","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":888738,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Humphries, Hope C.","contributorId":331776,"corporation":false,"usgs":false,"family":"Humphries","given":"Hope","email":"","middleInitial":"C.","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":888739,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Spasojevic, Marko J.","contributorId":331779,"corporation":false,"usgs":false,"family":"Spasojevic","given":"Marko J.","affiliations":[{"id":13325,"text":"University of California Riverside","active":true,"usgs":false}],"preferred":false,"id":888740,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Suding, Katharine N. 0000-0002-5357-0176","orcid":"https://orcid.org/0000-0002-5357-0176","contributorId":168385,"corporation":false,"usgs":false,"family":"Suding","given":"Katharine","email":"","middleInitial":"N.","affiliations":[{"id":6709,"text":"University of Colorado, Denver","active":true,"usgs":false}],"preferred":false,"id":888741,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Emery, Nancy C.","contributorId":331784,"corporation":false,"usgs":false,"family":"Emery","given":"Nancy","email":"","middleInitial":"C.","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":888742,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70252539,"text":"70252539 - 2024 - Understanding marsh elevation and accretion processes and vulnerability to rising sea levels across climatic and geomorphic gradients in California, USA","interactions":[],"lastModifiedDate":"2024-08-26T14:33:56.464304","indexId":"70252539","displayToPublicDate":"2023-11-22T06:53:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Understanding marsh elevation and accretion processes and vulnerability to rising sea levels across climatic and geomorphic gradients in California, USA","docAbstract":"

Tidal marshes build elevations by below- and aboveground organic and mineral soil processes. Marsh elevation and accretion data can be used to determine if marshes are keeping pace with sea-level rise. Using a network of 54 deep rod surface elevation tables with paired feldspar marker horizon plots, we tracked elevation and accretion trends across 16 marshes in California, USA. All sites had overall positive gains across years that included severe drought conditions and extreme rain events. Marsh elevation relative to tidal datum (z*) was the key predictor for elevation and accretion rates, with higher change rates at lower z* sites. Marsh sites are clustered into three regional groups (Northern California, San Francisco Bay area, and Southern California), primarily defined by maximum temperature and annual rainfall differences. Elevation, accretion, and shallow subsidence rates were not significantly different between clusters, but their explanatory variables did vary. High-temperature days were a key predictor for elevation, accretion, and shallow subsidence rates in the state-wide analysis and San Francisco Bay regional analysis. The largest elevation gains were observed in the San Francisco Bay-Delta and some of the smallest in Humboldt Bay, with Morro Bay having the lowest accretion rate overall. Central and Southern California marshes were keeping pace or out-pacing sea-level rise, while none of the Humboldt Bay marshes were keeping pace. Marsh surface elevation data can inform management intervention and be a leading indicator for sea-level rise vulnerability. Long-term monitoring across geomorphic settings can help inform management and anticipate marsh change.

","language":"English","publisher":"Springer","doi":"10.1007/s12237-023-01298-4","usgsCitation":"Thorne, K., Bristow, M.L., Rankin, L.L., Kovalenko, K., Neville, J.A., Freeman, C., and Guntenspergen, G.R., 2024, Understanding marsh elevation and accretion processes and vulnerability to rising sea levels across climatic and geomorphic gradients in California, USA: Estuaries and Coasts, v. 47, p. 1972-1992, https://doi.org/10.1007/s12237-023-01298-4.","productDescription":"21 p.","startPage":"1972","endPage":"1992","ipdsId":"IP-158356","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":427203,"rank":1,"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 -122.94920754020215,\n 38.46449084609395\n ],\n [\n -122.94920754020215,\n 37.215169912718494\n ],\n [\n -121.45506691520202,\n 37.215169912718494\n ],\n [\n -121.45506691520202,\n 38.46449084609395\n ],\n [\n -122.94920754020215,\n 38.46449084609395\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"47","noUsgsAuthors":false,"publicationDate":"2023-11-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Thorne, Karen M. 0000-0002-1381-0657","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":204579,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":897448,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bristow, McKenna Leigh 0000-0003-2284-1380","orcid":"https://orcid.org/0000-0003-2284-1380","contributorId":330403,"corporation":false,"usgs":true,"family":"Bristow","given":"McKenna","middleInitial":"Leigh","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":897449,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rankin, Lyndsay L. 0000-0003-4968-1946","orcid":"https://orcid.org/0000-0003-4968-1946","contributorId":332147,"corporation":false,"usgs":true,"family":"Rankin","given":"Lyndsay","email":"","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":897450,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kovalenko, Katya E.","contributorId":275052,"corporation":false,"usgs":false,"family":"Kovalenko","given":"Katya E.","affiliations":[{"id":18006,"text":"University of Minnesota Duluth","active":true,"usgs":false}],"preferred":false,"id":897451,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Neville, Justine Annaliese 0000-0003-3160-5363","orcid":"https://orcid.org/0000-0003-3160-5363","contributorId":329739,"corporation":false,"usgs":true,"family":"Neville","given":"Justine","email":"","middleInitial":"Annaliese","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":897452,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Freeman, Chase M. 0000-0003-2284-1380","orcid":"https://orcid.org/0000-0003-2284-1380","contributorId":335090,"corporation":false,"usgs":false,"family":"Freeman","given":"Chase M.","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":897453,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":897454,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70250127,"text":"70250127 - 2024 - Spatial asynchrony and cross-scale climate interactions in populations of a coldwater stream fish","interactions":[],"lastModifiedDate":"2023-12-21T14:35:17.577815","indexId":"70250127","displayToPublicDate":"2023-11-21T09:32:22","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Spatial asynchrony and cross-scale climate interactions in populations of a coldwater stream fish","docAbstract":"

Climate change affects populations over broad geographic ranges due to spatially autocorrelated abiotic conditions known as the Moran effect. However, populations do not always respond to broad-scale environmental changes synchronously across a landscape. We combined multiple datasets for a retrospective analysis of time-series count data (5–28 annual samples per segment) at 144 stream segments dispersed over nearly 1,000 linear kilometers of range to characterize the population structure and scale of spatial synchrony across the southern native range of a coldwater stream fish (brook trout, Salvelinus fontinalis), which is sensitive to stream temperature and flow variations. Spatial synchrony differed by life stage and geographic region: it was stronger in the juvenile life stage than in the adult life stage and in the northern sub-region than in the southern sub-region. Spatial synchrony of trout populations extended to 100–200 km but was much weaker than that of climate variables such as temperature, precipitation, and stream flow. Early life stage abundance changed over time due to annual variation in summer temperature and winter and spring stream flow conditions. Climate effects on abundance differed between sub-regions and among local populations within sub-regions, indicating multiple cross-scale interactions where climate interacted with local habitat to generate only a modest pattern of population synchrony over space. Overall, our analysis showed higher degrees of response heterogeneity of local populations to climate variation and consequently population asynchrony than previously shown based on analysis of individual, geographically restricted datasets. This response heterogeneity indicates that certain local segments characterized by population asynchrony and resistance to climate variation could represent unique populations of this iconic native coldwater fish that warrant targeted conservation. Advancing the conservation of this species can include actions that identify such priority populations and incorporate them into landscape-level conservation planning. Our approach is applicable to other widespread aquatic species sensitive to climate change.

","language":"English","publisher":"Wiley","doi":"10.1111/gcb.17029","usgsCitation":"Valentine, G., Lu, X., Childress, E., Dolloff, C.A., Hitt, N.P., Kulp, M., Letcher, B., Pregler, K.C., Rash, J., Hooten, M.B., and Kanno, Y., 2024, Spatial asynchrony and cross-scale climate interactions in populations of a coldwater stream fish: Global Change Biology, v. 30, no. 1, e17029, 17 p., https://doi.org/10.1111/gcb.17029.","productDescription":"e17029, 17 p.","ipdsId":"IP-150602","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":441021,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.17029","text":"Publisher Index Page"},{"id":435087,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DQID6G","text":"USGS data release","linkHelpText":"Brook trout abundance in streams across southern Appalachia from 1958-2021"},{"id":422835,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-11-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Valentine, George","contributorId":331697,"corporation":false,"usgs":false,"family":"Valentine","given":"George","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":888494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lu, Xinyi","contributorId":279368,"corporation":false,"usgs":false,"family":"Lu","given":"Xinyi","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":888495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Childress, Evan S.","contributorId":214287,"corporation":false,"usgs":false,"family":"Childress","given":"Evan S.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":888496,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dolloff, C. Andrew","contributorId":97405,"corporation":false,"usgs":true,"family":"Dolloff","given":"C.","email":"","middleInitial":"Andrew","affiliations":[],"preferred":false,"id":888497,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hitt, Nathaniel P. 0000-0002-1046-4568","orcid":"https://orcid.org/0000-0002-1046-4568","contributorId":238185,"corporation":false,"usgs":true,"family":"Hitt","given":"Nathaniel","email":"","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":888498,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kulp, Matthew","contributorId":331700,"corporation":false,"usgs":false,"family":"Kulp","given":"Matthew","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":888499,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Letcher, Benjamin 0000-0003-0191-5678","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":242666,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":888500,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pregler, Kasey C.","contributorId":149616,"corporation":false,"usgs":false,"family":"Pregler","given":"Kasey","email":"","middleInitial":"C.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":888501,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rash, Jacob","contributorId":202482,"corporation":false,"usgs":false,"family":"Rash","given":"Jacob","affiliations":[{"id":36454,"text":"North Carolina Wildlife Resources Commission","active":true,"usgs":false}],"preferred":false,"id":888502,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hooten, Mevin B. 0000-0002-1614-723X","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":292295,"corporation":false,"usgs":false,"family":"Hooten","given":"Mevin","email":"","middleInitial":"B.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":888503,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kanno, Yoichiro","contributorId":210653,"corporation":false,"usgs":false,"family":"Kanno","given":"Yoichiro","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":888504,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70256490,"text":"70256490 - 2024 - Cisco population characteristics in Wisconsin lakes in relation to lake- and landscape-level factors","interactions":[],"lastModifiedDate":"2024-08-07T15:47:33.915238","indexId":"70256490","displayToPublicDate":"2023-11-20T10:41:14","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":"Cisco population characteristics in Wisconsin lakes in relation to lake- and landscape-level factors","docAbstract":"

Objective

Declines in Cisco Coregonus artedi populations in some inland lakes have prompted assessments of Cisco occurrence and extirpation risk in relation to various stressors to identify refuge lakes and factors that promote Cisco persistence. However, most previous assessments have focused on presence–absence of Cisco rather than examining how population characteristics, such as relative abundance or growth, might change in relation to lake- and landscape-level environmental factors. Consequently, our specific objectives were to identify important environmental factors explaining variation in Cisco relative abundance and growth and to determine whether population metrics describing size and age distributions were related to relative abundance in Wisconsin inland lakes.

Methods

Cisco were collected from 48 inland Wisconsin lakes during 2011–2015 using vertical monofilament gill nets and population-specific relative abundance estimates (catch per unit effort [CPUE]) were quantified as the number of individuals per gill-net night. Sagittal otoliths were removed from a subsample of Cisco for age estimation and growth was indexed as mean total length (TL; mm) at age 2. Length and age data were used to develop a suite of metrics describing size and age distributions of each population. Random forest models were used to evaluate relationships between 10 biologically relevant predictor variables representing variation in physical, climatic, catchment, and limnological characteristics and Cisco CPUE and growth. Pearson correlations were used to determine whether population characteristics were related to CPUE.

Result

Cisco populations exhibited large variation in relative abundance, growth, and size and age distributions. Best-fit random forest models explained approximately 25% of the variation in Cisco CPUE and 46% of the variation in growth. Growing degree-days and variables associated with availability, quality, and quantity of suitable oxythermal conditions were identified as important predictors of both Cisco CPUE and growth; CPUE was also identified as an important predictor of growth. Mean TL and mean TL at age 2 were negatively related to Cisco CPUE, whereas mean age, number of age-classes present, and maximum observed age were positively related to CPUE.

Conclusion

Our results suggest that maintenance of suitable oxythermal habitat conditions may be critical to conserving abundant Cisco populations. Our assessment also provides insights on how Cisco populations may respond to environmental and anthropogenic stressors, which could aid ongoing and future conservation and management efforts in Wisconsin and elsewhere.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10449","collaboration":"Wisconsin Department of Natural Resources","usgsCitation":"Dembkowski, D., Shrovnal, J.S., Parks, T.P., Sass, G., Lyons, J., and Isermann, D.A., 2024, Cisco population characteristics in Wisconsin lakes in relation to lake- and landscape-level factors: Transactions of the American Fisheries Society, v. 153, no. 1, p. 93-111, https://doi.org/10.1002/tafs.10449.","productDescription":"19 p.","startPage":"93","endPage":"111","ipdsId":"IP-151111","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":432343,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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P.","contributorId":340869,"corporation":false,"usgs":false,"family":"Parks","given":"Timothy","email":"","middleInitial":"P.","affiliations":[{"id":81673,"text":"Wisconsin Department of Natural Resources, Bureau of Fisheries Management","active":true,"usgs":false}],"preferred":false,"id":907619,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sass, Greg G.","contributorId":340870,"corporation":false,"usgs":false,"family":"Sass","given":"Greg G.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":907620,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lyons, John","contributorId":340871,"corporation":false,"usgs":false,"family":"Lyons","given":"John","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":907621,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":907622,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70250145,"text":"70250145 - 2024 - Grizzly bear responses to restrictions of recreation in Yellowstone National Park","interactions":[],"lastModifiedDate":"2024-01-24T17:52:21.656037","indexId":"70250145","displayToPublicDate":"2023-11-20T09:37:56","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Grizzly bear responses to restrictions of recreation in Yellowstone National Park","docAbstract":"

Avoiding humans will be more difficult and energetically costly for animals as outdoor recreation increases and people venture farther into wildland areas that provide high-quality habitat for wildlife. Restricting human access can be an attractive management tool to mitigate effects of human recreation activities on wildlife; however, the efficacy of such measures is rarely assessed. In 1982, Yellowstone National Park identified areas important to grizzly bears (Ursus arctos) to help protect critical grizzly bear habitat and reduce the likelihood of human injuries by bears. Referred to as bear management areas (BMAs), human access is restricted in these areas for 2–8 months each year, with timing and type of restrictions varying by area. We examined 2 datasets to evaluate grizzly bear selection of BMAs and differences of bear density in BMAs and non-BMAs. First, we used 17 years of recent global positioning system telemetry data for grizzly bears to assess their selection of BMAs during periods when human access was allowed, and when access was restricted. We used step-selection functions to test the hypothesis that bears spend time in places that allow them to avoid people and select quality food sources. There was support that grizzly bears differentially select for BMAs regardless of whether human access was restricted at the time, compared with areas outside BMAs, and that selection changed with sex and season. Only males during the summer and hyperphagic seasons changed their selection of BMAs based on whether access restrictions were in place, and overall, male bears preferred unrestricted BMAs (BMAs without restrictions in place). Females preferentially selected BMAs regardless of whether the area had access restrictions in place only during the mating season. Individuals varied widely in their preference for BMAs and access restrictions. Bears likely choose to spend time in BMAs based on available food resources rather than restrictions to human access. Supporting this interpretation, our analyses indicated that a greater proportion of BMA in an area was associated with higher densities of grizzly bear. Thus, restrictions to human access likely help reduce the potential for human–bear interactions, accomplishing one of the original objectives for establishing the BMAs.

","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22527","usgsCitation":"Loggers, E., Litt, A.R., van Manen, F.T., Haroldson, M.A., and Gunther, K.A., 2024, Grizzly bear responses to restrictions of recreation in Yellowstone National Park: Journal of Wildlife Management, v. 88, no. 2, e22527, 25 p., https://doi.org/10.1002/jwmg.22527.","productDescription":"e22527, 25 p.","ipdsId":"IP-154494","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":441023,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22527","text":"Publisher Index Page"},{"id":422836,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.10748291015625,\n 44.12702800650004\n ],\n [\n -109.98138427734375,\n 44.1289994645142\n ],\n [\n -109.98687744140624,\n 44.33367180085156\n ],\n [\n -110.03631591796875,\n 44.34152959888481\n ],\n [\n -110.04730224609375,\n 44.3906169787868\n ],\n [\n -110.00885009765625,\n 44.422011314236634\n ],\n [\n -109.98138427734375,\n 44.50825885600572\n ],\n [\n -110.028076171875,\n 44.52196830685208\n ],\n [\n -110.1104736328125,\n 44.50825885600572\n ],\n [\n -110.12969970703125,\n 44.53371669765759\n ],\n [\n -110.07476806640625,\n 44.56503415498704\n ],\n [\n -110.0225830078125,\n 44.58655513209543\n ],\n [\n -109.84954833984375,\n 44.61784415342067\n ],\n [\n -109.80010986328124,\n 44.71161010858431\n ],\n [\n -109.84405517578125,\n 44.75258502192499\n ],\n [\n -109.90997314453125,\n 44.813018740612776\n ],\n [\n -109.9127197265625,\n 44.89868701215517\n ],\n [\n -109.9346923828125,\n 44.97839955494438\n ],\n [\n -109.96490478515625,\n 45.017243565102596\n ],\n [\n -110.00885009765625,\n 45.06770141120143\n ],\n [\n -110.06378173828125,\n 45.05412098425883\n ],\n [\n -110.13519287109374,\n 45.042478050891546\n ],\n [\n -110.69549560546874,\n 45.04053733158769\n ],\n [\n -110.775146484375,\n 45.079339209738094\n ],\n [\n -110.82183837890625,\n 45.06964120886863\n ],\n [\n -110.86578369140625,\n 45.04635929200553\n ],\n [\n -110.89874267578124,\n 45.0502402697946\n ],\n [\n -110.928955078125,\n 45.08127861241874\n ],\n [\n -110.9619140625,\n 45.09679146394738\n ],\n [\n -111.005859375,\n 45.10842333769411\n ],\n [\n -111.0333251953125,\n 45.10260769705975\n ],\n [\n -111.060791015625,\n 45.10066901851988\n ],\n [\n -111.0992431640625,\n 45.11811475546806\n ],\n [\n -111.126708984375,\n 45.120052841530516\n ],\n [\n -111.15966796875,\n 45.089035564831036\n ],\n [\n -111.181640625,\n 45.059941562221226\n ],\n [\n -111.11846923828125,\n 45.01918507438176\n ],\n [\n -111.10748291015625,\n 44.12702800650004\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"88","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Loggers, Elise","contributorId":331713,"corporation":false,"usgs":false,"family":"Loggers","given":"Elise","email":"","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":888556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Litt, Andrea R.","contributorId":208358,"corporation":false,"usgs":false,"family":"Litt","given":"Andrea","email":"","middleInitial":"R.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":888557,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van Manen, Frank T. 0000-0001-5340-8489 fvanmanen@usgs.gov","orcid":"https://orcid.org/0000-0001-5340-8489","contributorId":2267,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank","email":"fvanmanen@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":888558,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haroldson, Mark A. 0000-0002-7457-7676 mharoldson@usgs.gov","orcid":"https://orcid.org/0000-0002-7457-7676","contributorId":1773,"corporation":false,"usgs":true,"family":"Haroldson","given":"Mark","email":"mharoldson@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":888559,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gunther, Kerry A.","contributorId":84621,"corporation":false,"usgs":false,"family":"Gunther","given":"Kerry","email":"","middleInitial":"A.","affiliations":[{"id":5118,"text":"Yellowstone National Park, Yellowstone Center for Resources, Bear Management Office, P.O. Box 168, Yellowstone National Park, WY 82190","active":true,"usgs":false}],"preferred":false,"id":888560,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70254923,"text":"70254923 - 2024 - Coyotes in the Great Basin desert do not exhibit a spatial response following the removal of anthropogenic water sources","interactions":[],"lastModifiedDate":"2024-06-12T00:42:45.86269","indexId":"70254923","displayToPublicDate":"2023-11-19T19:41:07","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2183,"text":"Journal of Arid Environments","active":true,"publicationSubtype":{"id":10}},"title":"Coyotes in the Great Basin desert do not exhibit a spatial response following the removal of anthropogenic water sources","docAbstract":"

Coyote (Canis latrans) range expansion into desert ecosystems has highlighted the role of anthropogenic water sources in arid ecosystems. Despite hypotheses that additional water facilitated this expansion, previous studies reported that coyotes did not exhibit a spatial or dietary response to removal of anthropogenic water. We used GPS data to examine if coyotes responded to water removal at a finer spatial scale than previously investigated. Our integrated step selection analysis did not find evidence that coyotes adjusted their distance to water following water removal. Vegetation was an important factor in habitat selection of coyotes, with riparian and agricultural areas being the most selected among vegetation types. Coyotes selected for locations where hunting and trapping was prohibited. Possibly the cause of increased coyote abundance in our study area was not due to the introduction of anthropogenic water sources but rather due to the cessation of regional lethal predator control programs. These two management decisions both occurred in the 1970s, therefore, their influences on the subsequent increase of coyote abundance may have been conflated. Our results, in combination with previous studies, provide evidence that coyotes are desert-adapted carnivores that do not rely on anthropogenic water sources.


","language":"English","publisher":"Elsevier","doi":"10.1016/j.jaridenv.2023.105097","usgsCitation":"Pershyn, N., Gese, E., Stuber, E.F., and Kluever, B., 2024, Coyotes in the Great Basin desert do not exhibit a spatial response following the removal of anthropogenic water sources: Journal of Arid Environments, v. 220, 105097, https://doi.org/10.1016/j.jaridenv.2023.105097.","productDescription":"105097","ipdsId":"IP-155856","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":467047,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jaridenv.2023.105097","text":"Publisher Index Page"},{"id":429939,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"220","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pershyn, Nadine","contributorId":338001,"corporation":false,"usgs":false,"family":"Pershyn","given":"Nadine","email":"","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":902893,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gese, Eric","contributorId":338002,"corporation":false,"usgs":false,"family":"Gese","given":"Eric","affiliations":[{"id":81067,"text":"USDS","active":true,"usgs":false}],"preferred":false,"id":902894,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stuber, Erica Francis 0000-0002-2687-6874","orcid":"https://orcid.org/0000-0002-2687-6874","contributorId":298084,"corporation":false,"usgs":true,"family":"Stuber","given":"Erica","email":"","middleInitial":"Francis","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":902895,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kluever, Brian","contributorId":338003,"corporation":false,"usgs":false,"family":"Kluever","given":"Brian","email":"","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":902896,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70250385,"text":"70250385 - 2024 - Toxicity of wildland fire retardants to rainbow trout in short exposures","interactions":[],"lastModifiedDate":"2024-01-25T14:34:47.068171","indexId":"70250385","displayToPublicDate":"2023-11-17T07:17:40","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Toxicity of wildland fire retardants to rainbow trout in short exposures","docAbstract":"

Long-term wildland fire retardants are one important tool used to control and suppress wildfires. During suppression activities, these retardants may enter waterbodies; thus, there is a need to understand their potential effects to aquatic biota. We investigated the effect of three current-use wildland fire retardants to juvenile rainbow trout (Oncorhynchus mykiss) survival in short exposures more realistic to actual intrusion scenarios. Lethal effect concentrations decreased with time and varied among chemicals (LC95A-R > 259-Fx > MVP-Fx). The lowest effect concentrations observed were 2 to 10 times above the threshold used by federal agencies to assess potential impacts to aquatic organisms following a retardant intrusion. These data can be used by resource managers to balance wildfire control with potential environmental impacts of retardant use.

","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.5791","usgsCitation":"Puglis, H.J., and Iacchetta, M.G., 2024, Toxicity of wildland fire retardants to rainbow trout in short exposures: Environmental Toxicology and Chemistry, v. 43, no. 2, p. 398-404, https://doi.org/10.1002/etc.5791.","productDescription":"7 p.","startPage":"398","endPage":"404","ipdsId":"IP-154881","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":441028,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.5791","text":"Publisher Index Page"},{"id":435088,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RVM9AL","text":"USGS data release","linkHelpText":"Biological and chemical data from laboratory toxicity exposures of wildland fire retardants to Rainbow Trout"},{"id":423265,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-11-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Puglis, Holly J. 0000-0002-3090-6597 hpuglis@usgs.gov","orcid":"https://orcid.org/0000-0002-3090-6597","contributorId":4686,"corporation":false,"usgs":true,"family":"Puglis","given":"Holly","email":"hpuglis@usgs.gov","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":889649,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iacchetta, Michael G. 0000-0001-9459-1435","orcid":"https://orcid.org/0000-0001-9459-1435","contributorId":291394,"corporation":false,"usgs":true,"family":"Iacchetta","given":"Michael","email":"","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":889650,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70250119,"text":"70250119 - 2024 - Crustal block-controlled contrasts in deformation, uplift, and exhumation in the Santa Cruz Mountains, California, USA, imaged through apatite (U-Th)/He thermochronology and 3-D geological modeling","interactions":[],"lastModifiedDate":"2024-07-01T14:09:36.420678","indexId":"70250119","displayToPublicDate":"2023-11-17T07:01:37","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Crustal block-controlled contrasts in deformation, uplift, and exhumation in the Santa Cruz Mountains, California, USA, imaged through apatite (U-Th)/He thermochronology and 3-D geological modeling","docAbstract":"

Deformation along strike-slip plate margins often accumulates within structurally partitioned and rheologically heterogeneous crustal blocks within the plate boundary. In these cases, contrasts in the physical properties and state of juxtaposed crustal blocks may play an important role in accommodation of deformation. Near the San Francisco Bay Area, California, USA, the Pacific−North American plate-bounding San Andreas fault bisects the Santa Cruz Mountains (SCM), which host numerous distinct, fault-bounded lithotectonic blocks that surround the San Andreas fault zone. In the SCM, a restraining bend in the San Andreas fault (the SCM bend) caused recent uplift of the mountain range since ca. 4 Ma. To understand how rheologic heterogeneity within a complex fault zone might influence deformation, we quantified plausible bounds on deformation and uplift across two adjacent SCM lithotectonic blocks on the Pacific Plate whose stratigraphic and tectonic histories differ. This was accomplished by combining 31 new apatite (U-Th)/He ages with existing thermochronological datasets to constrain exhumation of these two blocks. Additionally, surface exposures of the latest Miocene to late Pliocene Purisima Formation interpreted in 18 structural cross sections spanning the SCM allowed construction and restoration of Pliocene deformation in a three-dimensional geologic model. We found that rock uplift and deformation concentrated within individual Pacific Plate lithotectonic blocks in the SCM. Since 4 Ma, maximum principal strain computed for the more deformed block adjacent to the fault exceeded that computed for the less deformed block by at least 375%, and cumulative uplift has been more spatially extensive and higher in magnitude. We attribute the difference in uplift and deformation between the two blocks primarily to contrasts in lithotectonic structure, which resulted from diverging geologic histories along the evolving plate boundary.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/B36528.1","usgsCitation":"Baden, C.W., Shuster, D.L., Hourigan, J., Gooley, J.T., Cahill, M., and Hilley, G.E., 2024, Crustal block-controlled contrasts in deformation, uplift, and exhumation in the Santa Cruz Mountains, California, USA, imaged through apatite (U-Th)/He thermochronology and 3-D geological modeling: Geological Society of America Bulletin, v. 136, no. 77-8, p. 2789-2814, https://doi.org/10.1130/B36528.1.","productDescription":"26 p.","startPage":"2789","endPage":"2814","ipdsId":"IP-138230","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":441034,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/b36528.1","text":"Publisher Index Page"},{"id":422781,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Cruz Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.9348200302511,\n 37.885321620398926\n ],\n [\n -122.9348200302511,\n 36.64380432009875\n ],\n [\n -121.19898018650117,\n 36.64380432009875\n ],\n [\n -121.19898018650117,\n 37.885321620398926\n ],\n [\n -122.9348200302511,\n 37.885321620398926\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"136","issue":"77-8","noUsgsAuthors":false,"publicationDate":"2023-11-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Baden, Curtis William 0000-0002-9479-8660","orcid":"https://orcid.org/0000-0002-9479-8660","contributorId":331679,"corporation":false,"usgs":true,"family":"Baden","given":"Curtis","email":"","middleInitial":"William","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":888451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shuster, David L.","contributorId":241607,"corporation":false,"usgs":false,"family":"Shuster","given":"David","email":"","middleInitial":"L.","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":888452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hourigan, Jeremy H.","contributorId":331680,"corporation":false,"usgs":false,"family":"Hourigan","given":"Jeremy H.","affiliations":[{"id":79264,"text":"Department of Earth and Planetary Sciences, University of California-Santa Cruz, 1156 High Street, Santa Cruz, California, 95064, USA","active":true,"usgs":false}],"preferred":false,"id":888453,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":888454,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cahill, Melanie","contributorId":331681,"corporation":false,"usgs":false,"family":"Cahill","given":"Melanie","email":"","affiliations":[{"id":79265,"text":"Department of Geological Sciences, Stanford University, Stanford, California 94305-2115, USA","active":true,"usgs":false}],"preferred":false,"id":888455,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hilley, George E.","contributorId":197258,"corporation":false,"usgs":false,"family":"Hilley","given":"George","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":888456,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70250630,"text":"70250630 - 2024 - Geothermal play fairway analysis, part 1: Example from the Snake River Plain, Idaho","interactions":[],"lastModifiedDate":"2023-12-21T13:04:55.028689","indexId":"70250630","displayToPublicDate":"2023-11-17T07:01:30","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1828,"text":"Geothermics","active":true,"publicationSubtype":{"id":10}},"title":"Geothermal play fairway analysis, part 1: Example from the Snake River Plain, Idaho","docAbstract":"

The Snake River Plain (SRP) volcanic province overlies the track of the Yellowstone hotspot, a thermal anomaly that extends deep into the mantle. Most of the area is underlain by a basaltic volcanic province that overlies a mid-crustal intrusive complex, which in turn provides the long-term heat flux needed to sustain geothermal systems. Previous studies have identified several known geothermal resource areas within the SRP. For the geothermal study presented herein, our goals were to: (1) adapt the methodology of Play Fairway Analysis (PFA) for geothermal exploration to create a formal basis for its application to geothermal systems, (2) assemble relevant data for the SRP from publicly available and private sources, and (3) build a geothermal PFA model for the SRP and identify the most promising plays, using GIS-based software tools that are standard in the petroleum industry.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.geothermics.2023.102865","usgsCitation":"Shervais, J., DeAngelo, J., Glen, J.M., Nielson, D.L., Garg, S., Dobson, P., Gasperikova, E., Sonnenthal, E., Liberty, L.M., Newell, D.L., Siler, D.L., and Evans, J., 2024, Geothermal play fairway analysis, part 1: Example from the Snake River Plain, Idaho: Geothermics, v. 117, 102865, 18 p., https://doi.org/10.1016/j.geothermics.2023.102865.","productDescription":"102865, 18 p.","ipdsId":"IP-148317","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":441038,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://scholarworks.boisestate.edu/geo_facpubs/793","text":"Publisher Index Page"},{"id":423835,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Snake River Plain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.65263007713202,\n 44.08978176904034\n ],\n [\n -116.65263007713202,\n 42.23078197264857\n ],\n [\n -111.51102851463182,\n 42.23078197264857\n ],\n [\n -111.51102851463182,\n 44.08978176904034\n ],\n [\n -116.65263007713202,\n 44.08978176904034\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"117","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Shervais, John W.","contributorId":237914,"corporation":false,"usgs":false,"family":"Shervais","given":"John W.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":890636,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeAngelo, Jacob 0000-0002-7348-7839 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L.","contributorId":332606,"corporation":false,"usgs":false,"family":"Nielson","given":"Dennis","email":"","middleInitial":"L.","affiliations":[{"id":79512,"text":"DOSECC Exploration Services LLC","active":true,"usgs":false}],"preferred":false,"id":890639,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garg, Sabodh","contributorId":193564,"corporation":false,"usgs":false,"family":"Garg","given":"Sabodh","email":"","affiliations":[],"preferred":false,"id":890640,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dobson, Patrick","contributorId":193558,"corporation":false,"usgs":false,"family":"Dobson","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":890641,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gasperikova, Erika","contributorId":193561,"corporation":false,"usgs":false,"family":"Gasperikova","given":"Erika","affiliations":[],"preferred":false,"id":890642,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sonnenthal, Eric","contributorId":146807,"corporation":false,"usgs":false,"family":"Sonnenthal","given":"Eric","affiliations":[],"preferred":false,"id":890643,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Liberty, Lee M. 0000-0003-2793-8173","orcid":"https://orcid.org/0000-0003-2793-8173","contributorId":332607,"corporation":false,"usgs":false,"family":"Liberty","given":"Lee","email":"","middleInitial":"M.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":890644,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Newell, Dennis L.","contributorId":332608,"corporation":false,"usgs":false,"family":"Newell","given":"Dennis","email":"","middleInitial":"L.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":890645,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Siler, Drew Lorenz 0000-0001-7540-8244","orcid":"https://orcid.org/0000-0001-7540-8244","contributorId":303226,"corporation":false,"usgs":false,"family":"Siler","given":"Drew","email":"","middleInitial":"Lorenz","affiliations":[{"id":65720,"text":"Geologica Geothermal Group, LLC.","active":true,"usgs":false}],"preferred":false,"id":890646,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Evans, James P.","contributorId":332609,"corporation":false,"usgs":false,"family":"Evans","given":"James P.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":890647,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70250130,"text":"70250130 - 2024 - Survival implications of diversion entrainment for outmigrating juvenile Chinook Salmon (Oncorhynchus tshawytscha) and steelhead (O. mykiss)","interactions":[],"lastModifiedDate":"2024-03-26T14:28:31.586434","indexId":"70250130","displayToPublicDate":"2023-11-16T10:27:29","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}},"displayTitle":"Survival implications of diversion entrainment for outmigrating juvenile Chinook Salmon (Oncorhynchus tshawytscha) and steelhead (O. mykiss)","title":"Survival implications of diversion entrainment for outmigrating juvenile Chinook Salmon (Oncorhynchus tshawytscha) and steelhead (O. mykiss)","docAbstract":"

Efforts to ameliorate negative effects of diversion dams on aquatic species of concern are important in rivers where water withdrawal supports agricultural economies and are likely to become increasingly important with impending climate change. A multiyear study was conducted to evaluate the survival consequences of diversion dam passage for juvenile Chinook Salmon (Oncorhynchus tshawytscha) and steelhead (O. mykiss) in the highly managed Yakima River, Washington. Canal entrainment and passage were evaluated at four diversion dams encountered by seaward migrating juvenile salmon and steelhead. Fish pass dams via spillbays or enter canals with downstream fish-screening facilities designed to collect entrained fish and return them to the mainstem river. Percent entrainment into canals was substantial (6–59%) at three of the four diversion dams studied, and entrainment probability was positively associated with the proportion of streamflow diverted into canals. Survival probability estimates for groups of tagged fish that were entrained into canals were lower than survival probability estimates for tagged fish that passed through spillbays on the dams. Absolute differences in survival probabilities between routes ranged from 0.099 to 0.369, demonstrating that canal entrainment reduced survival of outmigrating juvenile Chinook Salmon and steelhead. We also found that entrainment resulted in migration delays, which could further affect survival because fish are increasingly exposed to predation and decreased water quality as water temperature increases throughout the migration season. These results highlight the need to limit entrainment of juvenile salmon and steelhead at diversion dams in rivers where salmon recovery is important.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10456","usgsCitation":"Kock, T.J., Evans, S., Perry, R., Monk, P.A., Porter, M.S., Hansen, A.C., and Pope, A., 2024, Survival implications of diversion entrainment for outmigrating juvenile Chinook Salmon (Oncorhynchus tshawytscha) and steelhead (O. mykiss): Transactions of the American Fisheries Society, v. 153, no. 2, p. 200-215, https://doi.org/10.1002/tafs.10456.","productDescription":"16 p.","startPage":"200","endPage":"215","ipdsId":"IP-155378","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":441041,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/tafs.10456","text":"Publisher Index Page"},{"id":422841,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"lower Yakima River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119,\n 46\n ],\n [\n -119,\n 47\n ],\n [\n -120.55,\n 47\n ],\n [\n -120.55,\n 46\n ],\n [\n -119,\n 46\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"153","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-11-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Kock, Tobias J. 0000-0001-8976-0230","orcid":"https://orcid.org/0000-0001-8976-0230","contributorId":214550,"corporation":false,"usgs":true,"family":"Kock","given":"Tobias","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":888511,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, Scott D. 0000-0003-0452-7726","orcid":"https://orcid.org/0000-0003-0452-7726","contributorId":220390,"corporation":false,"usgs":true,"family":"Evans","given":"Scott D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":888512,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perry, Russell 0000-0003-4110-8619","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":220189,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":888513,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Monk, Patrick A.","contributorId":331703,"corporation":false,"usgs":false,"family":"Monk","given":"Patrick","email":"","middleInitial":"A.","affiliations":[{"id":79270,"text":"Bureau of Reclamation, 1917 Marsh Road, Yakima, Washington 98901, USA","active":true,"usgs":false}],"preferred":false,"id":888514,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Porter, Michael S.","contributorId":215700,"corporation":false,"usgs":false,"family":"Porter","given":"Michael","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":888515,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hansen, Amy C. 0000-0002-0298-9137","orcid":"https://orcid.org/0000-0002-0298-9137","contributorId":223220,"corporation":false,"usgs":true,"family":"Hansen","given":"Amy","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":888516,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pope, Adam C. 0000-0002-7253-2247","orcid":"https://orcid.org/0000-0002-7253-2247","contributorId":223237,"corporation":false,"usgs":true,"family":"Pope","given":"Adam","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":888517,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70256408,"text":"70256408 - 2024 - Dams facilitate predation during Atlantic salmon (Salmo salar) smolt migration","interactions":[],"lastModifiedDate":"2024-08-01T15:27:05.393957","indexId":"70256408","displayToPublicDate":"2023-11-16T10:20:43","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6455,"text":"Canadian Journal Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Dams facilitate predation during Atlantic salmon (Salmo salar) smolt migration","title":"Dams facilitate predation during Atlantic salmon (Salmo salar) smolt migration","docAbstract":"

Diadromous fish populations have incurred precipitous declines across the globe. Among many stressors, these species are threatened by anthropogenic barriers that impede movement, alter riverine habitat, and augment predator communities. In this study, we used acoustic transmitters (n = 220) with predation and temperature sensors to characterize Atlantic salmon (Salmo salar) smolt predation risk in the Penobscot River, Maine, USA. Across two seasons, we documented 79 predation events through a 170 km migratory pathway, which included three hydropower projects and a large estuary. We detected tagged smolts that were predated by fish (n = 42), marine mammals (n = 28), and birds (n = 9). Using a multistate mark-recapture framework, we estimated that 46% of smolts were predated during downstream migration, which accounted for at least 55% of all mortality. Relative predation risk was greatest through impoundments and the lower estuary, where on average, predation rates were 4.8-fold and 9.0-fold greater than free-flowing reaches, respectively. These results suggest that predation pressure on Atlantic salmon smolts is exacerbated by hydropower projects and that predation in the lower estuary may be greater than expected.

","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2023-0175","usgsCitation":"Mensinger, M.A., Hawkes, J.P., Goulette, G.S., Mortelliti, A., Blomberg, E., and Zydlewski, J.D., 2024, Dams facilitate predation during Atlantic salmon (Salmo salar) smolt migration: Canadian Journal Fisheries and Aquatic Sciences, v. 81, no. 1, p. 38-51, https://doi.org/10.1139/cjfas-2023-0175.","productDescription":"14 p.","startPage":"38","endPage":"51","ipdsId":"IP-154595","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":441043,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/60012","text":"External Repository"},{"id":432034,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Penobscot River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -69,\n 45.75\n ],\n [\n -69,\n 44.25\n ],\n [\n -68.25,\n 44.25\n ],\n [\n -68.25,\n 45.75\n ],\n [\n -69,\n 45.75\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"81","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mensinger, Matthew A.","contributorId":340484,"corporation":false,"usgs":false,"family":"Mensinger","given":"Matthew","email":"","middleInitial":"A.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":907287,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hawkes, James P.","contributorId":340485,"corporation":false,"usgs":false,"family":"Hawkes","given":"James","email":"","middleInitial":"P.","affiliations":[{"id":12520,"text":"NOAA National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":907288,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goulette, Graham S.","contributorId":340487,"corporation":false,"usgs":false,"family":"Goulette","given":"Graham","email":"","middleInitial":"S.","affiliations":[{"id":12520,"text":"NOAA National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":907289,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mortelliti, Alessio","contributorId":340490,"corporation":false,"usgs":false,"family":"Mortelliti","given":"Alessio","affiliations":[{"id":81624,"text":"University of Trieste","active":true,"usgs":false}],"preferred":false,"id":907290,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blomberg, Erik","contributorId":340491,"corporation":false,"usgs":false,"family":"Blomberg","given":"Erik","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":907291,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":907292,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70250796,"text":"70250796 - 2024 - Climate change and collapsing thermal niches of desert reptiles and amphibians: Assisted migration and acclimation rescue from extirpation","interactions":[],"lastModifiedDate":"2024-01-05T13:09:50.799365","indexId":"70250796","displayToPublicDate":"2023-11-16T07:07:19","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Climate change and collapsing thermal niches of desert reptiles and amphibians: Assisted migration and acclimation rescue from extirpation","docAbstract":"

Recent climate change should result in expansion of species to northern or high elevation range margins, and contraction at southern and low elevation margins in the northern hemisphere, because of local extirpations or range shifts or both. We combined museum occurrence records from both the continental U.S. and Mexico with a new eco-physiological model of extinction developed for lizard families of the world to predict the distributions of 30 desert-endemic reptile and amphibian species under climate change scenarios. The model predicts that 38 % of local populations will go extinct in the next 50 years, across all 30 species. However, extinctions may be attenuated in forested sites and by the presence of montane environments in contemporary ranges. Of the 30 species, three were at very high risk of extinction as a result of their thermal limits being exceeded, which illustrates the predictive value of ecophysiological modeling approaches for conservation studies. In tandem with global strategies of limiting CO2 emissions, we propose urgent regional management strategies for existing and new reserves that are targeted at three species: Barred Tiger Salamander (Ambystomatidae: Ambystoma mavortium stebbinsi), Desert Short-horned Lizard (Phrynosomatidae: Phrynosoma ornatissimum), and Morafka's Desert Tortoise (Testudinidae: Gopherus morafkai), which face a high risk of extinction by 2070. These strategies focus on assisted migration and preservation within climatic refugia, such as high-elevation and forested habitats. We forecast where new reserves should be established by merging our model of extinction risk with gap analysis. We also highlight that acclimation (i.e., phenotypic plasticity) could ameliorate risk of extinction but is rarely included in ecophysiological models. We use Ambystoma salamanders to show how acclimation can be incorporated into such models of extinction risk.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2023.168431","usgsCitation":"Sinervo, B., Lara Resendiz, R.A., Miles, D.B., Lovich, J.E., Rosen, P., Gadsden, H., Castenada Gaytan, G., Galina Tessaro, P., Luja, V.H., Huey, R.B., Whipple, A., Sanchez Cordero, V., Rohr, J.B., Caetano, G., Santos, J., , S., and Mendez de la Cruz, F.R., 2024, Climate change and collapsing thermal niches of desert reptiles and amphibians: Assisted migration and acclimation rescue from extirpation: Science of the Total Environment, v. 908, 168431, 17 p., https://doi.org/10.1016/j.scitotenv.2023.168431.","productDescription":"168431, 17 p.","ipdsId":"IP-093986","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":489150,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2023.168431","text":"Publisher Index Page"},{"id":424132,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -129.37303556245814,\n 53.14080455904667\n ],\n [\n -129.37303556245814,\n 6.349090305167309\n ],\n [\n -60.818348062458284,\n 6.349090305167309\n ],\n [\n -60.818348062458284,\n 53.14080455904667\n ],\n [\n -129.37303556245814,\n 53.14080455904667\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"908","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sinervo, Bary","contributorId":332952,"corporation":false,"usgs":false,"family":"Sinervo","given":"Bary","affiliations":[{"id":79698,"text":"(deceased) The Institute for the Study of the Ecological and Evolutionary Climate Impacts, University of California, and Department of Ecology and Evolutionary Biology, University of California Santa Cruz, CA 95064, USA","active":true,"usgs":false}],"preferred":false,"id":891506,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lara Resendiz, Rafael A.","contributorId":211744,"corporation":false,"usgs":false,"family":"Lara Resendiz","given":"Rafael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":891507,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miles, Donald B.","contributorId":211745,"corporation":false,"usgs":false,"family":"Miles","given":"Donald","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":891508,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":891509,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosen, Philip C.","contributorId":332953,"corporation":false,"usgs":false,"family":"Rosen","given":"Philip C.","affiliations":[{"id":79699,"text":"School of Natural Resources & the Environment, University of Arizona, Tucson AZ, 85721, USA","active":true,"usgs":false}],"preferred":false,"id":891510,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gadsden, Hector","contributorId":211754,"corporation":false,"usgs":false,"family":"Gadsden","given":"Hector","email":"","affiliations":[],"preferred":false,"id":891511,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Castenada Gaytan, Gamaliel","contributorId":211755,"corporation":false,"usgs":false,"family":"Castenada Gaytan","given":"Gamaliel","email":"","affiliations":[],"preferred":false,"id":891512,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Galina Tessaro, Patricia","contributorId":332954,"corporation":false,"usgs":false,"family":"Galina Tessaro","given":"Patricia","email":"","affiliations":[{"id":79700,"text":"Centro de investigaciones Biológicas del Noroeste, La Paz, Baja California Sur, México","active":true,"usgs":false}],"preferred":false,"id":891513,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Luja, Victor H.","contributorId":332955,"corporation":false,"usgs":false,"family":"Luja","given":"Victor","email":"","middleInitial":"H.","affiliations":[{"id":79701,"text":"Coordinación de Investigación y Posgrado, Unidad Académica de Turismo, Universidad Autónoma de Nayarit, Ciudad de la Cultura S/N. C.P., 63000 Tepic, Nayarit, México","active":true,"usgs":false}],"preferred":false,"id":891514,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Huey, Raymond B.","contributorId":211765,"corporation":false,"usgs":false,"family":"Huey","given":"Raymond","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":891515,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Whipple, Amy V.","contributorId":268851,"corporation":false,"usgs":false,"family":"Whipple","given":"Amy V.","affiliations":[{"id":55693,"text":"N. 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  1. In temperate regions, the annual pattern of spring onset can be envisioned as a ‘green wave’ of emerging vegetation that moves across continents from low to high latitudes, signifying increasing food availability for consumers.
  2. Many herbivorous migrants ‘surf’ such resource waves, timing their movements to exploit peak vegetation resources in early spring. Although less well studied at the individual level, secondary consumers such as insectivorous songbirds can track vegetation phenology during migration as well.
  3. We hypothesized that four species of ground-foraging songbirds in eastern North America—two warblers and two thrushes—time their spring migrations to coincide with later phases of vegetation phenology, corresponding to increased arthropod prey, and predicted they would match their migration rate to the green wave but trail behind it rather than surfing its leading edge.
  4. We further hypothesized that the rate at which spring onset progresses across the continent influences bird migration rates, such that individuals adjust migration timing within North America to phenological conditions they experience en route.
  5. To test our hypotheses, we used a continent-wide automated radio telemetry network to track individual songbirds on spring migration between the U.S. Gulf Coast region and northern locations closer to their breeding grounds.
  6. We measured vegetation phenology using two metrics of spring onset, the spring index first leaf date and the normalized difference vegetation index (NDVI), then calculated the rate and timing of spring onset relative to bird detections.
  7. All individuals arrived in the southeastern United States well after local spring onset. Counter to our expectations, we found that songbirds exhibited a ‘catching up’ pattern: Individuals migrated faster than the green wave of spring onset, effectively closing in on the start of spring as they approached breeding areas.
  8. While surfing of resource waves is a well-documented migration strategy for herbivorous waterfowl and ungulates, individual songbirds in our study migrated faster than the green wave and increasingly caught up to its leading edge en route.
  9. Consequently, songbirds experience a range of vegetation phenophases while migrating through North America, suggesting flexibility in their capacity to exploit variable resources in spring.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.14025","usgsCitation":"Nemes, C.E., Marra, P.P., Zenzal, T.J., Collins, S.A., Dossman, B.C., Gerson, A.R., Gomez, C., Gonzalez, A.M., Gutierrez Ramirez, M., Hamer, S.A., Marty, J., Vasseur, P.L., and Cohen, E.B., 2024, Springing forward: Migrating songbirds catch up with the start of spring in North America: Journal of Animal Ecology, v. 93, no. 3, p. 294-306, https://doi.org/10.1111/1365-2656.14025.","productDescription":"13 p.","startPage":"294","endPage":"306","ipdsId":"IP-147965","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":441048,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/1365-2656.14025","text":"External Repository"},{"id":423323,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -78.636441311807,\n 6.774626408442572\n ],\n [\n -71.60519131180699,\n 19.08375056699103\n ],\n [\n -41.72237881180726,\n 43.66058716276788\n ],\n [\n -48.05050381180715,\n 54.0212180258645\n ],\n [\n -64.92550381180732,\n 62.482300927322854\n ],\n [\n -86.72237881180699,\n 70.05840446282181\n ],\n [\n -117.30831631180689,\n 70.99580421944236\n ],\n [\n -137.6989413118068,\n 71.6708623909181\n ],\n [\n -154.92550381180627,\n 71.6708623909181\n ],\n [\n -165.47237881180655,\n 70.1779638747866\n ],\n [\n -168.6364413118065,\n 66.13422493163748\n ],\n [\n -167.23019131180618,\n 60.64132574034653\n ],\n [\n -165.82394131180638,\n 56.03573785160637\n ],\n [\n -157.38644131180655,\n 52.97566010083784\n ],\n [\n -142.62081631180635,\n 54.43224599896931\n ],\n [\n -129.9645663118066,\n 41.32801461314125\n ],\n [\n -113.08956631180698,\n 16.40534971144693\n ],\n [\n -94.808316311807,\n 5.72622344312137\n ],\n [\n -85.31612881180669,\n 4.675893333320644\n ],\n [\n -78.636441311807,\n 6.774626408442572\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"93","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-11-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Nemes, Claire E.","contributorId":332267,"corporation":false,"usgs":false,"family":"Nemes","given":"Claire","email":"","middleInitial":"E.","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":false,"id":889828,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marra, Peter P.","contributorId":190140,"corporation":false,"usgs":false,"family":"Marra","given":"Peter","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":889829,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zenzal, Theodore J. Jr. 0000-0001-7342-1373","orcid":"https://orcid.org/0000-0001-7342-1373","contributorId":224399,"corporation":false,"usgs":true,"family":"Zenzal","given":"Theodore","suffix":"Jr.","email":"","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":889830,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collins, Samantha A.","contributorId":176233,"corporation":false,"usgs":false,"family":"Collins","given":"Samantha","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":889831,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dossman, Bryant C.","contributorId":332268,"corporation":false,"usgs":false,"family":"Dossman","given":"Bryant","email":"","middleInitial":"C.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":889832,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gerson, Alexander R.","contributorId":290397,"corporation":false,"usgs":false,"family":"Gerson","given":"Alexander","email":"","middleInitial":"R.","affiliations":[{"id":37201,"text":"UMass Amherst","active":true,"usgs":false}],"preferred":false,"id":889833,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gomez, Camila","contributorId":332269,"corporation":false,"usgs":false,"family":"Gomez","given":"Camila","email":"","affiliations":[{"id":79439,"text":"SELVA: Investigación para la Conservación en el Neotrópico","active":true,"usgs":false}],"preferred":false,"id":889834,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gonzalez, Ana M.","contributorId":332270,"corporation":false,"usgs":false,"family":"Gonzalez","given":"Ana","email":"","middleInitial":"M.","affiliations":[{"id":13248,"text":"University of Saskatchewan","active":true,"usgs":false}],"preferred":false,"id":889835,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gutierrez Ramirez, Mariamar","contributorId":332271,"corporation":false,"usgs":false,"family":"Gutierrez Ramirez","given":"Mariamar","email":"","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":889836,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hamer, Sarah A.","contributorId":148033,"corporation":false,"usgs":false,"family":"Hamer","given":"Sarah","email":"","middleInitial":"A.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":889837,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Marty, Joseph","contributorId":332272,"corporation":false,"usgs":false,"family":"Marty","given":"Joseph","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":889838,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Vasseur, Phillip L.","contributorId":204493,"corporation":false,"usgs":false,"family":"Vasseur","given":"Phillip","email":"","middleInitial":"L.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":889839,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Cohen, Emily B.","contributorId":57774,"corporation":false,"usgs":false,"family":"Cohen","given":"Emily","email":"","middleInitial":"B.","affiliations":[{"id":7035,"text":"Smithsonian Conservation Biology Institute, National Zoological Park","active":true,"usgs":false}],"preferred":false,"id":889840,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70250015,"text":"70250015 - 2024 - Determination and prediction of micro scale rare earth element geochemical associations in mine drainage treatment wastes","interactions":[],"lastModifiedDate":"2023-11-14T12:44:02.369109","indexId":"70250015","displayToPublicDate":"2023-11-14T06:31:17","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1226,"text":"Chemosphere","active":true,"publicationSubtype":{"id":10}},"title":"Determination and prediction of micro scale rare earth element geochemical associations in mine drainage treatment wastes","docAbstract":"

Acid mine drainage (AMD) has been proposed as a novel source of rare earth elements (REE), a group of elements that includes critical metals for clean energy and modern technologies. REE are sequestered in the Fe–Al–Mn-rich precipitates produced during the treatment of AMD. These AMD solids are typically managed as waste but could be a REE source. Here, results from AMD solids characterization and geochemical modeling are presented to determine the minerals/solid phases that are enriched in REE and identify the mechanism(s) of REE attenuation.

AMD solids collected from limestone-based AMD treatment systems were subjected to sequential extraction and synchrotron microprobe analyses to characterize the binding nature of the REE. The results of these analyses indicated REEs were mainly associated with Al or Mn phases. Only selected REE (Gd, Dy) were associated with Fe phases, which were less abundant than Al and Mn phases in analyzed samples. The sequential extractions demonstrated that acidic and/or reducing extractions effectively mobilize REE from the AMD solids evaluated. The observed element associations in solids are consistent with geochemical model results that indicate dissolved REE can be effectively attenuated by adsorption on freshly precipitated Fe, Al, and Mn oxides/hydroxides. The model, which simulates dissolution of CaCO3 and the precipitation of Fe, Al, and Mn oxides with increased pH, accurately predicts the pH dependent accumulation of dissolved REE with Al, Mn, and Fe oxides/hydroxides in the studied AMD treatment systems.

The methods and results presented here can be used to identify conditions favorable for accumulation of REE-enriched AMD solids and possible passive or active treatment(s) to extract REE from AMD. This information can be used to design AMD treatment systems for the recovery of REE and is an opportunity to transform the challenges of addressing polluted mine drainage into an environmental and economic asset.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemosphere.2023.140475","usgsCitation":"Hedin, B.C., Stuckman, M.Y., Cravotta, C., Lopano, C.L., and Capo, R.C., 2024, Determination and prediction of micro scale rare earth element geochemical associations in mine drainage treatment wastes: Chemosphere, v. 346, 140475, 11 p., https://doi.org/10.1016/j.chemosphere.2023.140475.","productDescription":"140475, 11 p.","ipdsId":"IP-137193","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":489750,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.chemosphere.2023.140475","text":"Publisher Index Page"},{"id":422569,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Nittany Mine","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -77.6915588455888,\n 40.889264939825125\n ],\n [\n -77.74043119099201,\n 40.86094174296804\n ],\n [\n -77.76765728174179,\n 40.8412333674774\n ],\n [\n -77.806008011722,\n 40.8139863010457\n ],\n [\n -77.81186308500129,\n 40.80423666433518\n ],\n [\n -77.7945906188272,\n 40.797588363458004\n ],\n [\n -77.72608626145784,\n 40.827278951555826\n ],\n [\n -77.6259835482281,\n 40.88501500745158\n ],\n [\n -77.61175523964981,\n 40.91694573774306\n ],\n [\n -77.56568336000083,\n 40.94503305030968\n ],\n [\n -77.53959683505036,\n 40.95713104925308\n ],\n [\n -77.52375526404049,\n 40.97219126469736\n ],\n [\n -77.47335590562307,\n 40.99651435095521\n ],\n [\n -77.41329248330241,\n 41.02274875679197\n ],\n [\n -77.38564576674825,\n 41.03286503303716\n ],\n [\n -77.3523714117554,\n 41.03731590539665\n ],\n [\n -77.32765895019021,\n 41.050390091453885\n ],\n [\n -77.33988744578423,\n 41.06244026346151\n ],\n [\n -77.35333489791346,\n 41.07826568733469\n ],\n [\n -77.39674411075902,\n 41.07338314150051\n ],\n [\n -77.44282724193602,\n 41.04780222383839\n ],\n [\n -77.50746965664622,\n 41.00984589551416\n ],\n [\n -77.58390869858836,\n 40.96541159571884\n ],\n [\n -77.64100379266768,\n 40.93550538517805\n ],\n [\n -77.66161289883395,\n 40.91141991096799\n ],\n [\n -77.6915588455888,\n 40.889264939825125\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"346","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hedin, Benjamin C.","contributorId":331535,"corporation":false,"usgs":false,"family":"Hedin","given":"Benjamin","email":"","middleInitial":"C.","affiliations":[{"id":79234,"text":"Hedin Environmental, Inc., 195 Castle Shannon Blvd., Pittsburgh, PA 15228","active":true,"usgs":false}],"preferred":false,"id":887995,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stuckman, Mengling Y.","contributorId":331536,"corporation":false,"usgs":false,"family":"Stuckman","given":"Mengling","email":"","middleInitial":"Y.","affiliations":[{"id":79236,"text":"National Energy Technology Laboratory, US Department of Energy, 626 Cochrans Mill Road, Pittsburgh, PA 15236","active":true,"usgs":false}],"preferred":false,"id":887996,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cravotta, Charles A. III 0000-0003-3116-4684","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":258816,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles A.","suffix":"III","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":887997,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lopano, Christina L.","contributorId":331537,"corporation":false,"usgs":false,"family":"Lopano","given":"Christina","email":"","middleInitial":"L.","affiliations":[{"id":79236,"text":"National Energy Technology Laboratory, US Department of Energy, 626 Cochrans Mill Road, Pittsburgh, PA 15236","active":true,"usgs":false}],"preferred":false,"id":887998,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Capo, Rosemary C.","contributorId":331538,"corporation":false,"usgs":false,"family":"Capo","given":"Rosemary","email":"","middleInitial":"C.","affiliations":[{"id":79237,"text":"Department of Geology and Environmental Science, University of Pittsburgh, Pittsburgh, PA, 15260","active":true,"usgs":false}],"preferred":false,"id":887999,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70250619,"text":"70250619 - 2024 - A combined compost, dolomite, and endophyte addition is more effective than single amendments for improving phytorestoration of metal contaminated mine tailings","interactions":[],"lastModifiedDate":"2024-04-10T15:50:03.340455","indexId":"70250619","displayToPublicDate":"2023-11-13T06:44:08","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3089,"text":"Plant and Soil","active":true,"publicationSubtype":{"id":10}},"title":"A combined compost, dolomite, and endophyte addition is more effective than single amendments for improving phytorestoration of metal contaminated mine tailings","docAbstract":"

Background and aims

Re-vegetation of mining-impacted landscapes reduces transport of toxic elements while improving soil fertility. This study evaluated whether the planting of a native perennial grass with a consortium of diazotrophic microbial endophytes and municipal waste compost—alone and in combination—enhanced plant growth while stabilizing metal(loids) in dolomite-amended tailings from a historically mined polymetallic mineral deposit.

Methods

We grew Bouteloua curtipendula seedlings in tailings with hazardous concentrations of As, Cd, Pb, Mn, and Zn. We evaluated how plant growth, organic matter accumulation, and major, minor, and trace element mobilization and phytostabilization responded to microbial endophyte and/or compost amendments after the 45-day growth experiment.

Results

Although most of the added endophytes were not uniquely identified, the best plant growth and fertility outcomes were achieved with a combination of amendments: dolomite to reduce acidity, compost to increase nitrogen, and a mixed consortium endophyte seed coating to synergistically increase organic carbon and grass biomass yields. Compost reduced shoot and root concentrations—but not yields—of contaminant metals. Endophytes increased foliar Cd, Co, Mn, and Pb yields but mobilized Pb and Zn from the tailings. Root stabilization of Cd, Co, Mn did not require amendments.

Conclusion

The most effective means of revegetating these acidic, polymetallic tailings with the native B. curtipendula is with a simultaneous dolomite, compost, and endophyte seed treatment. Due to potential phosphate solubilization and siderophore production by this consortium of endophytes, strategies to capture solubilized metal(loids) may be needed for sulfidic tailings with metal(loids) associated with mobile mineral phases.

","language":"English","publisher":"Springer","doi":"10.1007/s11104-023-06338-3","usgsCitation":"Creamer, C., Leewis, M., Kracmarova, M., Papik, J., Kacur, S., Freeman, J., Uhlik, O., and Foster, A.L., 2024, A combined compost, dolomite, and endophyte addition is more effective than single amendments for improving phytorestoration of metal contaminated mine tailings: Plant and Soil, v. 4997, p. 219-240, https://doi.org/10.1007/s11104-023-06338-3.","productDescription":"22 p.","startPage":"219","endPage":"240","ipdsId":"IP-126446","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":441052,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11104-023-06338-3","text":"Publisher Index Page"},{"id":423788,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4997","noUsgsAuthors":false,"publicationDate":"2023-11-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Creamer, Courtney 0000-0001-8270-9387","orcid":"https://orcid.org/0000-0001-8270-9387","contributorId":201952,"corporation":false,"usgs":true,"family":"Creamer","given":"Courtney","email":"","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":890580,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leewis, Mary-Catherine 0000-0001-6496-8094","orcid":"https://orcid.org/0000-0001-6496-8094","contributorId":267792,"corporation":false,"usgs":false,"family":"Leewis","given":"Mary-Catherine","affiliations":[{"id":24491,"text":"Agriculture and Agri-Food Canada","active":true,"usgs":false}],"preferred":false,"id":890581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kracmarova, Martina 0000-0003-3306-9074","orcid":"https://orcid.org/0000-0003-3306-9074","contributorId":310408,"corporation":false,"usgs":false,"family":"Kracmarova","given":"Martina","email":"","affiliations":[{"id":67178,"text":"University of Chemistry and Technology, Prague","active":true,"usgs":false}],"preferred":false,"id":890582,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Papik, Jakub 0000-0002-5110-573X","orcid":"https://orcid.org/0000-0002-5110-573X","contributorId":332597,"corporation":false,"usgs":false,"family":"Papik","given":"Jakub","email":"","affiliations":[{"id":79504,"text":"University of Chemistry and Technology, Prague, Faculty of Food and Biochemical Technology, Department of Biochemistry and Microbiology, Prague 6, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":890583,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kacur, Sean 0000-0002-6107-5538","orcid":"https://orcid.org/0000-0002-6107-5538","contributorId":310410,"corporation":false,"usgs":false,"family":"Kacur","given":"Sean","email":"","affiliations":[{"id":67179,"text":"Subsurface Insights","active":true,"usgs":false}],"preferred":false,"id":890584,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Freeman, John 0000-0003-3403-9360","orcid":"https://orcid.org/0000-0003-3403-9360","contributorId":247587,"corporation":false,"usgs":false,"family":"Freeman","given":"John","email":"","affiliations":[{"id":49585,"text":"Intrinsyx Technologies Corporation","active":true,"usgs":false}],"preferred":false,"id":890585,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Uhlik, Ondrej 0000-0002-0506-202X","orcid":"https://orcid.org/0000-0002-0506-202X","contributorId":330972,"corporation":false,"usgs":false,"family":"Uhlik","given":"Ondrej","email":"","affiliations":[{"id":79083,"text":"University of Chemistry and Technology","active":true,"usgs":false}],"preferred":false,"id":890586,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Foster, Andrea L. 0000-0003-1362-0068 afoster@usgs.gov","orcid":"https://orcid.org/0000-0003-1362-0068","contributorId":1740,"corporation":false,"usgs":true,"family":"Foster","given":"Andrea","email":"afoster@usgs.gov","middleInitial":"L.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":890587,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70250108,"text":"70250108 - 2024 - A comparison of stable isotopes and polychlorinated biphenyls 1 among genetic strains of Lake Ontario lake trout (Salvelinus namaycush)","interactions":[],"lastModifiedDate":"2024-02-07T17:11:32.170321","indexId":"70250108","displayToPublicDate":"2023-11-11T08:58:28","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"A comparison of stable isotopes and polychlorinated biphenyls 1 among genetic strains of Lake Ontario lake trout (Salvelinus namaycush)","title":"A comparison of stable isotopes and polychlorinated biphenyls 1 among genetic strains of Lake Ontario lake trout (Salvelinus namaycush)","docAbstract":"

This study quantified stable carbon (δ13C) and nitrogen (δ15N) isotopes, polychlorinated biphenyl (PCB) concentrations and growth rates among multiple genetic strains of Lake Ontario lake trout (Salvelinus namaycush) to evaluate the potential role of genetics in these parameters. Fish ranging in age from 1 to 31 years (n = 72) and representing nine genetic strains including wild-recruits to hatchery fish derived from Lakes Ontario, Superior and Champlain watersheds, and individuals of unknown hatchery origin. Carbon (δ13C) and nitrogen (δ15N) stable isotope values averaged −22.2 ‰ and 17.4 ‰, respectively, but did not differ significantly among genetic strains. ΣPCB concentrations ranged from 42 to 1820 ng/g and varied significantly among individuals including those of similar age and genetic strain. For example, Sum PCB (ΣPCB) concentrations among 7-year-old fish (n = 16) ranged from 159 to 607 ng/g, which compares to growth rates of 3.5 – 32.9 %/yr for these same fish. Multivariate analysis of stable isotope and PCB profiles, however, provided considerable resolution among the strains. For example, fish of unknown hatchery origin ordinated most similar to Seneca Lake fish, the predominant strain stocked in Lake Ontario. Wild fish had a unique ordination with only Lake Superior Klondike strain fish overlapping into their ordination space. Lakes Champlain and Superior strain individuals had similar ordinations but did not overlap substantially with wild or Klondike strain fish. Combined, these differences agree with the ecologies described for these strains in their native ecosystems suggesting that insight can be gained from strain specific evaluations of ecological tracers and these pollutants among Great Lakes lake trout.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2023.102252","usgsCitation":"Saavedra, N.E., Razavi, N.R., Stewart, D.J., Lantry, B.F., and Paterson, G., 2024, A comparison of stable isotopes and polychlorinated biphenyls 1 among genetic strains of Lake Ontario lake trout (Salvelinus namaycush): Journal of Great Lakes Research, v. 50, no. 1, 102252, 10 p., https://doi.org/10.1016/j.jglr.2023.102252.","productDescription":"102252, 10 p.","ipdsId":"IP-156640","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":422724,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Ontario","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -78.57910303634092,\n 43.6042153418901\n ],\n [\n -78.57910303634092,\n 43.232649116660866\n ],\n [\n -76.76283308220034,\n 43.232649116660866\n ],\n [\n -76.76283308220034,\n 43.6042153418901\n ],\n [\n -78.57910303634092,\n 43.6042153418901\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"50","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Saavedra, Nicole E.","contributorId":331657,"corporation":false,"usgs":false,"family":"Saavedra","given":"Nicole","email":"","middleInitial":"E.","affiliations":[{"id":12623,"text":"State University of New York College of Environmental Science and Forestry","active":true,"usgs":false}],"preferred":false,"id":888384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Razavi, N. Roxanna 0000-0003-4077-496X","orcid":"https://orcid.org/0000-0003-4077-496X","contributorId":224997,"corporation":false,"usgs":false,"family":"Razavi","given":"N.","email":"","middleInitial":"Roxanna","affiliations":[{"id":12623,"text":"State University of New York College of Environmental Science and Forestry","active":true,"usgs":false}],"preferred":false,"id":888385,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stewart, Donald J. 0000-0002-1138-4834","orcid":"https://orcid.org/0000-0002-1138-4834","contributorId":216561,"corporation":false,"usgs":false,"family":"Stewart","given":"Donald","email":"","middleInitial":"J.","affiliations":[{"id":12623,"text":"State University of New York College of Environmental Science and Forestry","active":true,"usgs":false}],"preferred":false,"id":888386,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lantry, Brian F. 0000-0001-8797-3910 bflantry@usgs.gov","orcid":"https://orcid.org/0000-0001-8797-3910","contributorId":3435,"corporation":false,"usgs":true,"family":"Lantry","given":"Brian","email":"bflantry@usgs.gov","middleInitial":"F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":888387,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Paterson, Gordon","contributorId":12755,"corporation":false,"usgs":true,"family":"Paterson","given":"Gordon","email":"","affiliations":[],"preferred":false,"id":888388,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70250389,"text":"70250389 - 2024 - Effect of florfenicol administered through feed on Atlantic salmon (Salmo salar) gut and its microbiome","interactions":[],"lastModifiedDate":"2023-12-06T13:26:04.969196","indexId":"70250389","displayToPublicDate":"2023-11-10T07:24:04","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":853,"text":"Aquaculture","active":true,"publicationSubtype":{"id":10}},"title":"Effect of florfenicol administered through feed on Atlantic salmon (Salmo salar) gut and its microbiome","docAbstract":"

Although concerns about the impacts of antibiotics in aquatic organisms are reported worldwide, the potential adverse effects on fish gut microbial communities and fish health are still not well known. In this study, we investigated the effects of florfenicol (FFC) on the gut microbiome and gastrointestinal (GIT) gene expression in juvenile Atlantic salmon (Salmo salar). Three doses of FFC were used to coat experimental feed at 10, 20 and 30 mg/kg/ fish body weight (bw). The feed was administered for 18 days, followed by a 10-day recovery period. The metatranscriptome analysis revealed that 10 and 30 mg/kg bw of FFC led to the downregulation of genes involved in the transcription of NADH-ubiquinone oxidoreductase chain-1, suggesting that the antibiotic targets bacterial respiratory metabolism. The 30 mg/kg bw FFC treatment upregulated genes that encode glycolytic enzymes, such as phosphoglycerate kinase, indicating a disruption of energy metabolism in the microbiome. Analysis of the fish host transcriptome showed that the FFC treatment affected cellular processes in the GIT system of fish, including pathways related to apoptosis and DNA metabolism. The 30 mg/kg bw FFC treatment specifically activated pathways related to cellular regulation, including LXR/RXR activation, FXR/RXR activation, and protein ubiquitination. At the end of the recovery phase, the 30 mg/kg bw FFC treated group altered pathways related to EIF2 signaling and lysine degradation.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.aquaculture.2023.740310","usgsCitation":"Monticelli, G., Bisesi, J., Magnuson, J.T., Schlenk, D., Zarza, C., Peggs, D., and Pampanin, D., 2024, Effect of florfenicol administered through feed on Atlantic salmon (Salmo salar) gut and its microbiome: Aquaculture, v. 580, no. Part 1, 740310, 10 p., https://doi.org/10.1016/j.aquaculture.2023.740310.","productDescription":"740310, 10 p.","ipdsId":"IP-154925","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":423267,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"580","issue":"Part 1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Monticelli, Giovanna","contributorId":332185,"corporation":false,"usgs":false,"family":"Monticelli","given":"Giovanna","email":"","affiliations":[{"id":79410,"text":"University of Stavanger, Norway","active":true,"usgs":false}],"preferred":false,"id":889666,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bisesi, Joseph","contributorId":332186,"corporation":false,"usgs":false,"family":"Bisesi","given":"Joseph","email":"","affiliations":[{"id":79411,"text":"University of Florida-Gainesville","active":true,"usgs":false}],"preferred":false,"id":889667,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Magnuson, Jason Tyler 0000-0001-6841-8014","orcid":"https://orcid.org/0000-0001-6841-8014","contributorId":329838,"corporation":false,"usgs":true,"family":"Magnuson","given":"Jason","email":"","middleInitial":"Tyler","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":889668,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schlenk, Daniel","contributorId":221106,"corporation":false,"usgs":false,"family":"Schlenk","given":"Daniel","email":"","affiliations":[{"id":12655,"text":"University of California, Riverside","active":true,"usgs":false}],"preferred":false,"id":889669,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zarza, Carlos","contributorId":332187,"corporation":false,"usgs":false,"family":"Zarza","given":"Carlos","email":"","affiliations":[{"id":79413,"text":"Skretting Aquaculture Innovation, Norway","active":true,"usgs":false}],"preferred":false,"id":889670,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peggs, David","contributorId":332231,"corporation":false,"usgs":false,"family":"Peggs","given":"David","email":"","affiliations":[],"preferred":false,"id":889729,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pampanin, Daniela","contributorId":332188,"corporation":false,"usgs":false,"family":"Pampanin","given":"Daniela","affiliations":[{"id":79410,"text":"University of Stavanger, Norway","active":true,"usgs":false}],"preferred":false,"id":889671,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70250046,"text":"70250046 - 2024 - Molecular detection and characterization of highly pathogenic H5N1 clade 2.3.4.4b avian influenza viruses among hunter-harvested wild birds provides evidence for three independent introductions into Alaska","interactions":[],"lastModifiedDate":"2023-11-20T17:48:55.528987","indexId":"70250046","displayToPublicDate":"2023-11-10T07:00:03","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3696,"text":"Virology","active":true,"publicationSubtype":{"id":10}},"title":"Molecular detection and characterization of highly pathogenic H5N1 clade 2.3.4.4b avian influenza viruses among hunter-harvested wild birds provides evidence for three independent introductions into Alaska","docAbstract":"

We detected and characterized highly pathogenic avian influenza viruses among hunter-harvested wild waterfowl inhabiting western Alaska during September–October 2022 using a molecular sequencing pipeline applied to RNA extracts derived directly from original swab samples. Genomic characterization of 10 H5 clade 2.3.4.4b avian influenza viruses detected with high confidence provided evidence for three independent viral introductions into Alaska. Our results highlight the utility and some potential limits of applying molecular processing approaches directly to RNA extracts from original swab samples for viral research and monitoring.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.virol.2023.109938","usgsCitation":"Ramey, A.M., Scott, L.C., Ahlstrom, C., Buck, E.J., Williams, A., Kim Torchetti, M., Stallknecht, D., and Poulson, R., 2024, Molecular detection and characterization of highly pathogenic H5N1 clade 2.3.4.4b avian influenza viruses among hunter-harvested wild birds provides evidence for three independent introductions into Alaska: Virology, v. 589, 109938, 6 p., https://doi.org/10.1016/j.virol.2023.109938.","productDescription":"109938, 6 p.","ipdsId":"IP-156095","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true},{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":441058,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.virol.2023.109938","text":"Publisher Index Page"},{"id":435090,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LPH8ZQ","text":"USGS data release","linkHelpText":"Molecular Detection and Characterization of Highly Pathogenic H5N1 Avian Influenza Viruses in Wild Birds Inhabiting Western Alaska Provides Evidence for Three Independent Viral Introductions"},{"id":422617,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alasak","otherGeospatial":"Izembek National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -162.2874622081526,\n 55.57375391298103\n ],\n [\n -162.82875470379128,\n 55.42041573086158\n ],\n [\n -163.17062364840513,\n 55.150045245809764\n ],\n [\n -162.69105748998848,\n 55.07397017743125\n ],\n [\n -162.15451317413613,\n 55.21510271689792\n ],\n [\n -162.2874622081526,\n 55.57375391298103\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"589","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":888132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scott, Laura Celeste 0000-0003-0303-5340","orcid":"https://orcid.org/0000-0003-0303-5340","contributorId":306143,"corporation":false,"usgs":true,"family":"Scott","given":"Laura","email":"","middleInitial":"Celeste","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":888133,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ahlstrom, Christina 0000-0001-5414-8076","orcid":"https://orcid.org/0000-0001-5414-8076","contributorId":214540,"corporation":false,"usgs":true,"family":"Ahlstrom","given":"Christina","email":"","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":888134,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buck, Evan James 0000-0003-0631-8901","orcid":"https://orcid.org/0000-0003-0631-8901","contributorId":296286,"corporation":false,"usgs":true,"family":"Buck","given":"Evan","email":"","middleInitial":"James","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":888135,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williams, Alison","contributorId":331591,"corporation":false,"usgs":false,"family":"Williams","given":"Alison","affiliations":[{"id":79245,"text":"U.S. Fish and Wildlife Service Izembek National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":888136,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kim Torchetti, Mia","contributorId":139355,"corporation":false,"usgs":false,"family":"Kim Torchetti","given":"Mia","email":"","affiliations":[{"id":12747,"text":"USDA APHIS VS National Veterinary Services Laboratories, Ames, IA","active":true,"usgs":false}],"preferred":false,"id":888137,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stallknecht, David E.","contributorId":225107,"corporation":false,"usgs":false,"family":"Stallknecht","given":"David E.","affiliations":[{"id":36701,"text":"Southeastern Cooperative Wildlife Disease Study, Department of Population Health, College of Veterinary Medicine, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":888138,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Poulson, Rebecca L.","contributorId":198807,"corporation":false,"usgs":false,"family":"Poulson","given":"Rebecca L.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":888139,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70250204,"text":"70250204 - 2024 - Assessing the added value of antecedent streamflow alteration information in modeling stream biological condition","interactions":[],"lastModifiedDate":"2023-11-28T12:58:51.767248","indexId":"70250204","displayToPublicDate":"2023-11-09T06:55:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the added value of antecedent streamflow alteration information in modeling stream biological condition","docAbstract":"

In stream systems, disentangling relationships between biology and flow and subsequent prediction of these relationships to unsampled streams is a common objective of large-scale ecological modeling. Often, streamflow metrics are derived from aggregating continuous streamflow records available at a subset of stream gages into long-term flow regime descriptors. Despite demonstrated value, shortcomings of these long-term approaches include spatial restriction to locations with long-term continuous flow records (commonly, biased toward larger systems) and omission of potentially ecologically important short-term (i.e., ≤1 year) antecedent streamflow information. We used long-term flow regime and short-term antecedent streamflow alteration information to evaluate relative performance in modeling stream fish biological condition. We compared results to understand whether short-term antecedent streamflow information improved models of fish biological condition. Results indicated that models incorporating short-term antecedent data performed better than those relying solely on long-term flow regime data (kappa statistic = 0.29 and 0.23, respectively) and improved prediction accuracy among stream sizes and in six of nine ecoregions. Additionally, models relying solely on short-term streamflow information performed similarly to those with only long-term streamflow information (kappa = 0.23). Incorporating short-term antecedent streamflow metrics may provide added ecological information not fully captured by long-term flow regime summaries in macroscale modeling efforts or perform similarly to long-term streamflow data when long-term data are not available.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2023.168258","usgsCitation":"Woods, T., Eng, K., Carlisle, D.M., Cashman, M.J., Meador, M.R., Ryberg, K.R., and Maloney, K.O., 2024, Assessing the added value of antecedent streamflow alteration information in modeling stream biological condition: Science of the Total Environment, v. 908, 168258, 9 p., https://doi.org/10.1016/j.scitotenv.2023.168258.","productDescription":"168258, 9 p.","ipdsId":"IP-155632","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":441062,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2023.168258","text":"Publisher Index Page"},{"id":423009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"908","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Woods, Taylor 0000-0002-6277-1260","orcid":"https://orcid.org/0000-0002-6277-1260","contributorId":304097,"corporation":false,"usgs":true,"family":"Woods","given":"Taylor","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":888815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eng, Ken 0000-0001-6838-5849 keng@usgs.gov","orcid":"https://orcid.org/0000-0001-6838-5849","contributorId":3580,"corporation":false,"usgs":true,"family":"Eng","given":"Ken","email":"keng@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":888816,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":888817,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cashman, Matthew J. 0000-0002-6635-4309","orcid":"https://orcid.org/0000-0002-6635-4309","contributorId":203315,"corporation":false,"usgs":true,"family":"Cashman","given":"Matthew","middleInitial":"J.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":888818,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meador, Michael R. 0000-0001-5956-3340 mrmeador@usgs.gov","orcid":"https://orcid.org/0000-0001-5956-3340","contributorId":219878,"corporation":false,"usgs":true,"family":"Meador","given":"Michael","email":"mrmeador@usgs.gov","middleInitial":"R.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":888819,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ryberg, Karen R. 0000-0002-9834-2046 kryberg@usgs.gov","orcid":"https://orcid.org/0000-0002-9834-2046","contributorId":1172,"corporation":false,"usgs":true,"family":"Ryberg","given":"Karen","email":"kryberg@usgs.gov","middleInitial":"R.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":888820,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Maloney, Kelly O. 0000-0003-2304-0745 kmaloney@usgs.gov","orcid":"https://orcid.org/0000-0003-2304-0745","contributorId":4636,"corporation":false,"usgs":true,"family":"Maloney","given":"Kelly","email":"kmaloney@usgs.gov","middleInitial":"O.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":888821,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70250039,"text":"70250039 - 2024 - Rethinking cost-share programs in consideration of economic equity: A case study of wildfire risk mitigation assistance for private landowners","interactions":[],"lastModifiedDate":"2023-11-15T12:51:27.215117","indexId":"70250039","displayToPublicDate":"2023-11-09T06:46:46","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1453,"text":"Ecological Economics","active":true,"publicationSubtype":{"id":10}},"title":"Rethinking cost-share programs in consideration of economic equity: A case study of wildfire risk mitigation assistance for private landowners","docAbstract":"

Public agencies and organizations often deliver financial assistance through cost sharing, in which recipients contribute some portion toward total costs. However, cost sharing might raise equity concerns if it reduces participation among populations with lower incomes. Here, we revisit a past study using a richer dataset (n=1,689) to assess whether stated income levels affect survey respondents' willingness to participate in a cost share program for vegetation reduction to mitigate wildfire risk in western Colorado. Results show that residents with lower incomes are less likely to participate even though they can choose to contribute 0% toward a cost share. Residents reporting incomes less than $50,000 are 11 percentage points less likely to participate than those reporting incomes of $200,000 or more. They also are willing to pay a lower share (26 percentage points less) if they do participate. Results indicate potential economic equity concerns from the use of such programs.


","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolecon.2023.108041","usgsCitation":"Meldrum, J., Champ, P.A., Brenkert-Smith, H., Barth, C.M., McConnell, A.E., Wagner, C., and Donovan, C., 2024, Rethinking cost-share programs in consideration of economic equity: A case study of wildfire risk mitigation assistance for private landowners: Ecological Economics, v. 216, https://doi.org/10.1016/j.ecolecon.2023.108041.","productDescription":"108041, 11 p.","startPage":"108041","ipdsId":"IP-144892","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":441064,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolecon.2023.108041","text":"Publisher Index Page"},{"id":435091,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UC6WK9","text":"USGS data release","linkHelpText":"Household survey data about participation in wildfire risk mitigation cost-share in western Colorado 2013-2017"},{"id":422614,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -109.01271043547919,\n 39.570713427638566\n ],\n [\n -109.01271043547919,\n 36.98385405491872\n ],\n [\n -105.62892137297915,\n 36.98385405491872\n ],\n [\n -105.62892137297915,\n 39.570713427638566\n ],\n [\n -109.01271043547919,\n 39.570713427638566\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"216","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Meldrum, James R. 0000-0001-5250-3759 jmeldrum@usgs.gov","orcid":"https://orcid.org/0000-0001-5250-3759","contributorId":195484,"corporation":false,"usgs":true,"family":"Meldrum","given":"James","email":"jmeldrum@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":888108,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Champ, Patricia A.","contributorId":195486,"corporation":false,"usgs":false,"family":"Champ","given":"Patricia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":888109,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brenkert-Smith, Hannah 0000-0001-6117-8863","orcid":"https://orcid.org/0000-0001-6117-8863","contributorId":195485,"corporation":false,"usgs":false,"family":"Brenkert-Smith","given":"Hannah","email":"","affiliations":[],"preferred":false,"id":888110,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barth, Christopher M.","contributorId":195487,"corporation":false,"usgs":false,"family":"Barth","given":"Christopher","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":888111,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McConnell, Abby Elizabeth 0000-0003-3515-1581","orcid":"https://orcid.org/0000-0003-3515-1581","contributorId":280426,"corporation":false,"usgs":true,"family":"McConnell","given":"Abby","email":"","middleInitial":"Elizabeth","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":888112,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wagner, Carolyn","contributorId":240587,"corporation":false,"usgs":false,"family":"Wagner","given":"Carolyn","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":888113,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Donovan, Colleen","contributorId":240586,"corporation":false,"usgs":false,"family":"Donovan","given":"Colleen","email":"","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":888114,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70265541,"text":"70265541 - 2024 - Detection and quantification of preferential flow using artificial rainfall with multiple experimental approaches","interactions":[],"lastModifiedDate":"2025-04-14T14:59:19.60552","indexId":"70265541","displayToPublicDate":"2023-11-08T07:53:35","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Detection and quantification of preferential flow using artificial rainfall with multiple experimental approaches","docAbstract":"

Preferential flow in the unsaturated zone strongly influences important hydrologic processes, such as infiltration, contaminant transport, and aquifer recharge. Because it entails various combinations of physical processes arising from the interactions of water, air, and solid particles in a porous medium, preferential flow is highly complex. Major research is needed to improve the ability to understand, quantify, model, and predict preferential flow. Toward a solution, a combination of diverse experimental measurements at multiple scales, from laboratory scale to mesoscale, has been implemented to detect and quantify preferential paths in carbonate and karstic unsaturated zones. This involves integration of information from (1) core samples, by means of mercury intrusion porosimeter, evaporation, quasi-steady centrifuge and dewpoint potentiometer laboratory methods, to investigate the effect of pore-size distribution on hydraulic characteristics and the potential activation of preferential flow, (2) field plot experiments with artificial sprinkling, to visualize preferential pathways related to secondary porosity, through use of geophysical measurements, and (3) mesoscale evaluation of field data through episodic master recession modeling of episodic recharge. This study demonstrates that preferential flow processes operate from core scale to two different field scales and impact on the qualitative and quantitative groundwater status, by entailing fast flow with subsequent effects on recharge rate and contaminant mobilizing. The presented results represent a rare example of preferential flow detection and numerical modeling by reducing underestimation of the recharge and contamination risks.

","language":"English","publisher":"Springer Nature","doi":"10.1007/s10040-023-02733-3","usgsCitation":"Caputo, M.C., De Carlo, L., Masciale, R., Perkins, K., Turturro, A., and Nimmo, J.R., 2024, Detection and quantification of preferential flow using artificial rainfall with multiple experimental approaches: Hydrogeology Journal, v. 32, p. 467-485, https://doi.org/10.1007/s10040-023-02733-3.","productDescription":"19 p.","startPage":"467","endPage":"485","ipdsId":"IP-154640","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":488207,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10040-023-02733-3","text":"Publisher Index Page"},{"id":484496,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","city":"Bari","otherGeospatial":"Apulia Region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 16.69243585627035,\n 41.22008353121049\n ],\n [\n 16.723263851427802,\n 41.048118236977714\n ],\n [\n 17.078664904300638,\n 40.82955430051331\n ],\n [\n 18.547099758451623,\n 40.035404755129974\n ],\n [\n 18.558702660409736,\n 40.23218241073464\n ],\n [\n 18.044813946689686,\n 40.80608860459688\n ],\n [\n 16.69243585627035,\n 41.22008353121049\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"32","noUsgsAuthors":false,"publicationDate":"2023-11-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Caputo, Maria Clementina","contributorId":298645,"corporation":false,"usgs":false,"family":"Caputo","given":"Maria","email":"","middleInitial":"Clementina","affiliations":[{"id":64641,"text":"CNR-IRSA","active":true,"usgs":false}],"preferred":false,"id":932984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De Carlo, Lorenzo","contributorId":298644,"corporation":false,"usgs":false,"family":"De Carlo","given":"Lorenzo","email":"","affiliations":[{"id":64641,"text":"CNR-IRSA","active":true,"usgs":false}],"preferred":false,"id":932985,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Masciale, Rita","contributorId":353110,"corporation":false,"usgs":false,"family":"Masciale","given":"Rita","affiliations":[{"id":64641,"text":"CNR-IRSA","active":true,"usgs":false}],"preferred":false,"id":932986,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perkins, Kimberlie 0000-0001-8349-447X kperkins@usgs.gov","orcid":"https://orcid.org/0000-0001-8349-447X","contributorId":138544,"corporation":false,"usgs":true,"family":"Perkins","given":"Kimberlie","email":"kperkins@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":932987,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Turturro, Antonietta Celeste","contributorId":353112,"corporation":false,"usgs":false,"family":"Turturro","given":"Antonietta Celeste","affiliations":[{"id":64641,"text":"CNR-IRSA","active":true,"usgs":false}],"preferred":false,"id":932988,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nimmo, John R. 0000-0001-8191-1727 jrnimmo@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-1727","contributorId":757,"corporation":false,"usgs":true,"family":"Nimmo","given":"John","email":"jrnimmo@usgs.gov","middleInitial":"R.","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":932989,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70253099,"text":"70253099 - 2024 - Evidence of Seattle Fault earthquakes from patterns of deep-seated landslides","interactions":[],"lastModifiedDate":"2024-04-19T11:46:05.821429","indexId":"70253099","displayToPublicDate":"2023-11-07T06:43:35","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Evidence of Seattle Fault earthquakes from patterns of deep-seated landslides","docAbstract":"

Earthquake‐induced landslides can record information about the seismic shaking that generated them. In this study, we present new mapping, Light Detection and Ranging‐derived roughness dating, and analysis of over 1000 deep‐seated landslides from the Puget Lowlands of Washington, U.S.A., to probe the landscape for past Seattle fault earthquake information. With this new landslide inventory, we observe spatial and temporal evidence of landsliding related to the last major earthquake on the Seattle fault ∼1100 yr before present. We find spatial clusters of landslides that correlate with ground motions from recent 3D kinematic models of Seattle fault earthquakes. We also find temporal patterns in the landslide inventory that suggest earthquake‐driven increases in landsliding. We compare the spatial and temporal landslide data with scenario‐based ground motion models and find stronger evidence of the last major Seattle fault earthquake from this combined analysis than from spatial or temporal patterns alone. We also compare the landslide inventory with ground motions from different Seattle fault earthquake scenarios to determine the ground motion distributions that are most consistent with the landslide record. We find that earthquake scenarios that best match the clustering of ∼1100‐year‐old landslides produce the strongest shaking within a band that stretches from west to east across central Seattle as well as along the bluffs bordering the broader Puget Sound. Finally, we identify other landslide clusters (at 4.6–4.2 ka, 4.0–3.8 ka, 2.8–2.6 ka, and 2.2–2.0 ka) in the inventory which let us infer potential ground motions that may correspond to older Seattle fault earthquakes. Our method, which combines hindcasting of the surface response to the last major Seattle fault earthquake, using a roughness‐aged landslide inventory with forecasts of modeled ground shaking from 3D seismic scenarios, showcases a powerful new approach to gleaning paleoseismic information from landscapes.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120230079","usgsCitation":"Herzig, E., Duvall, A., Booth, A., Stone, I.P., Wirth, E.A., LaHusen, S.R., Wartman, J., and Grant, A.R., 2024, Evidence of Seattle Fault earthquakes from patterns of deep-seated landslides: Bulletin of the Seismological Society of America, v. 114, no. 2, p. 1084-1102, https://doi.org/10.1785/0120230079.","productDescription":"19 p.","startPage":"1084","endPage":"1102","ipdsId":"IP-149878","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":427938,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"114","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-11-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Herzig, Erich","contributorId":335677,"corporation":false,"usgs":false,"family":"Herzig","given":"Erich","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":899150,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duvall, Alison","contributorId":238893,"corporation":false,"usgs":false,"family":"Duvall","given":"Alison","affiliations":[],"preferred":false,"id":899151,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Booth, Adam","contributorId":220454,"corporation":false,"usgs":false,"family":"Booth","given":"Adam","affiliations":[],"preferred":false,"id":899152,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stone, Ian P. 0000-0003-2622-2691","orcid":"https://orcid.org/0000-0003-2622-2691","contributorId":293630,"corporation":false,"usgs":true,"family":"Stone","given":"Ian","middleInitial":"P.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":899153,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wirth, Erin A. 0000-0002-8592-4442","orcid":"https://orcid.org/0000-0002-8592-4442","contributorId":207853,"corporation":false,"usgs":true,"family":"Wirth","given":"Erin","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":899154,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"LaHusen, Sean Richard 0000-0003-4246-4439","orcid":"https://orcid.org/0000-0003-4246-4439","contributorId":294677,"corporation":false,"usgs":true,"family":"LaHusen","given":"Sean","email":"","middleInitial":"Richard","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":899155,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wartman, Joseph 0000-0001-7659-7198","orcid":"https://orcid.org/0000-0001-7659-7198","contributorId":241918,"corporation":false,"usgs":false,"family":"Wartman","given":"Joseph","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":899156,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Grant, Alex R. 0000-0002-5096-4305","orcid":"https://orcid.org/0000-0002-5096-4305","contributorId":219066,"corporation":false,"usgs":true,"family":"Grant","given":"Alex","middleInitial":"R.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":899157,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70257468,"text":"70257468 - 2024 - No long-term effect of black bear removal on elk calf recruitment in the southern Appalachians","interactions":[],"lastModifiedDate":"2024-08-16T15:07:31.088846","indexId":"70257468","displayToPublicDate":"2023-11-06T10:02:51","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"No long-term effect of black bear removal on elk calf recruitment in the southern Appalachians","docAbstract":"

In 2001 and 2002, 52 elk (Cervus canadensis; 21 males, 31 females), originally obtained from Elk Island National Park, Alberta, Canada, were transported and released into Cataloochee Valley in the northeastern portion of Great Smoky Mountains National Park (GRSM, Park), North Carolina, USA. The annual population growth rate (λ) was negative (0.996, 95% CI = 0.945–1.047) and predation by black bears (Ursus americanus) on elk calves was identified as an important determinant of population growth. From 2006 to 2008, 49 bears from the primary elk calving area (i.e., Cataloochee Valley) were trapped and translocated about 70 km to the southwestern portion of the Park just prior to elk calving. Per capita recruitment (i.e., the number of calves produced per adult female that survive to 1 year of age) increased from 0.306 prior to bear translocation (2001–2005) to 0.544 during years when bears were translocated (2006–2008) and λ increased to 1.118 (95% CI = 1.096–1.140). Our objective was to determine whether per capita calf recruitment rates after bear removal (2009–2019) at Cataloochee were similar to the higher rates estimated during bear removal (i.e., long-term response) or if they returned to rates before bear removal (i.e., short-term response), and how those rates compared with recruitment from portions of our study area where bears were not relocated. We documented 419 potential elk calving events and monitored 129 yearling and adult elk from 2001 to 2019. Known-fate models based on radio-telemetry and observational data supported calf recruitment returning to pre-2006 levels at Cataloochee (short-term response); recruitment of Cataloochee elk before and after bear relocation was lower (0.184) than during bear relocation (0.492). Recruitment rates of elk outside the removal area during the bear relocation period (0.478) were similar to before and after rates (0.420). In the Cataloochee Valley, cause-specific annual calf mortality rates due to predation by bears were 0.319 before, 0.120 during, and 0.306 after bear relocation. In contrast, the cause-specific annual mortality rate of calves in areas where bears were not relocated was 0.033 after the bear relocation period, with no bear predation on calves before or during bear relocation. The mean annual population growth rate for all monitored elk was 1.062 (95% CI = 0.979–1.140) after bear relocation based on the recruitment and survival data. Even though the effects of bear removal were temporary, the relocations were effective in achieving a short-term increase in elk recruitment, which was important for the reintroduction program given that the elk population was small and vulnerable to extirpation.

","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22522","usgsCitation":"Yarkovich, J.G., Braunstein, J.L., Mullinax, J.M., and Clark, J.D., 2024, No long-term effect of black bear removal on elk calf recruitment in the southern Appalachians: Journal of Wildlife Management, v. 88, e22522, 19 p., https://doi.org/10.1002/jwmg.22522.","productDescription":"e22522, 19 p.","ipdsId":"IP-151115","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":441068,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22522","text":"Publisher Index Page"},{"id":432859,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Great Smoky Mountains National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.39446616307593,\n 35.34908542134272\n ],\n [\n -83.0636158648346,\n 35.47482669066018\n ],\n [\n -82.86476283583953,\n 35.658891970547856\n ],\n [\n -83.0207596085856,\n 35.74798343179633\n ],\n [\n -83.14761412708188,\n 35.64914155318964\n ],\n [\n -83.38589491182597,\n 35.51530150997276\n ],\n [\n -83.54360593482207,\n 35.45388343943314\n ],\n [\n -83.44760792082488,\n 35.32251496983187\n ],\n [\n -83.39446616307593,\n 35.34908542134272\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"88","noUsgsAuthors":false,"publicationDate":"2023-11-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Yarkovich, Joseph G.","contributorId":244820,"corporation":false,"usgs":false,"family":"Yarkovich","given":"Joseph","email":"","middleInitial":"G.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":910494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Braunstein, Jessica L.","contributorId":342231,"corporation":false,"usgs":false,"family":"Braunstein","given":"Jessica","email":"","middleInitial":"L.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":910495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mullinax, Jennifer M.","contributorId":221170,"corporation":false,"usgs":false,"family":"Mullinax","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":910496,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clark, Joseph D. 0000-0002-8547-8112 jclark1@usgs.gov","orcid":"https://orcid.org/0000-0002-8547-8112","contributorId":2265,"corporation":false,"usgs":true,"family":"Clark","given":"Joseph","email":"jclark1@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":910497,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70254201,"text":"70254201 - 2024 - The use of semiochemicals for attracting and repelling invasive ambrosia beetles (Coleoptera: Curculionidae) in ʻōhiʻa (Metrosideros polymorpha) forests","interactions":[],"lastModifiedDate":"2024-05-13T11:18:56.761562","indexId":"70254201","displayToPublicDate":"2023-11-06T06:15:28","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17777,"text":"Agricultural and Forest Entomology","active":true,"publicationSubtype":{"id":10}},"title":"The use of semiochemicals for attracting and repelling invasive ambrosia beetles (Coleoptera: Curculionidae) in ʻōhiʻa (Metrosideros polymorpha) forests","docAbstract":"
  1. Early detection of invasive species is critical for preventing ecological and economic damage and maintaining ecosystem health. In Hawaiʻi, a complex of generalist ambrosia beetle species in the tribe Xyleborini (Coleoptera: Scolytinae) are threatening the health and productivity of forests and crops due to their association with tree diseases such as rapid ʻōhiʻa death (ROD) and key agricultural commodities including coffee and macadamia.
  2. We conducted trapping experiments to determine the efficacy of semiochemicals to attract and repel Xyleborini ambrosia beetles within two ʻōhiʻa (Metrosideros polymorpha) forests on the Island of Hawaiʻi. We compared the attraction of beetles to 100% ethanol and a 1:1 mixture of ethanol: methanol at Waiākea Forest Reserve and ʻŌlaʻa Forest in Hawaiʻi Volcanoes National Park. In addition, we tested the extent to which verbenone and verbenone + methyl salicylate repellents (SPLAT® Verb and SPLAT® Beetle Guard, respectively) deterred beetles from baited traps at Waiākea Forest Reserve in two separate experiments.
  3. For all invasive ambrosia beetle species, including Xyleborinus saxesenii, Xyleborus affinis, Xyleborus ferrugineus, Xyleborus perforans, Xylosandrus compactus, and Xylosandrus crassiusculus, more beetles were captured in traps baited with 100% ethanol than 1:1 ethanol: methanol. Across all species, both repellents were effective, with fewer beetles captured in traps equipped with repellents.
  4. Our research demonstrates the utility of semiochemicals for attracting and repelling invasive ambrosia beetle species in Hawaiʻi, and the potential use of these tools for early detection and management strategies.
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meta-analysis","interactions":[],"lastModifiedDate":"2024-02-10T13:59:33.675702","indexId":"70251432","displayToPublicDate":"2023-11-04T07:57:39","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17154,"text":"Soil Biology and Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Biocrusts modulate carbon losses under warming across global drylands: A bayesian meta-analysis","docAbstract":"

Biocrusts are critical biological components of drylands and play an important role in soil carbon (C) cycling. However, the effect of biocrusts on soil CO2 exchange across global gradients of temperature and moisture is poorly understood. Moreover, their response to climate change remains highly uncertain. Bayesian hierarchical meta-analyses were performed on 47 published studies to quantify the impact of biocrusts on net soil exchange (NSE) of carbon- the difference between respiration and photosynthesis. Meta-analyses were also used on 23 studies to examine the effects of experimental warming on NSE in biocrusts. Meta-regressions further explored the thermal and wetness sensitivities of biocrust NSE and potential adaptation of biocrust responses to climate change. The development of biocrusts in dryland soils significantly increased NSE by 66.5 [22.2, 112.2] g C m−2yr−1, despite seasonal fluctuations, indicating a net loss of carbon to the atmosphere. Experimental warming, on average, increased biocrust NSE by 22.9 [-0.1, 40.8] g C m−2yr−1 per °C. However, across the spatial climate gradient, aridity limited the effects of warming, while high temperature decreased the thermal sensitivity of biocrust NSE, thus supporting the thermal adaptation of biocrusts. These results emphasize the critical role of biocrusts in modulating soil carbon exchange in response to climate warming across drylands, with particularly high thermal sensitivity in cool and moist regions. This highlights the need to incorporate biocrusts into global carbon budgets and models for a comprehensive understanding of their impact on the carbon cycle.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.soilbio.2023.109214","usgsCitation":"Sun, J., Yu, K., Chen, N., Munson, S.M., Li, X., and Jia, R., 2024, Biocrusts modulate carbon losses under warming across global drylands: A bayesian meta-analysis: Soil Biology and Biogeochemistry, v. 188, 109214, 8 p., https://doi.org/10.1016/j.soilbio.2023.109214.","productDescription":"109214, 8 p.","ipdsId":"IP-150212","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":488390,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.soilbio.2023.109214","text":"Publisher Index Page"},{"id":425567,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"188","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sun, Jingyao","contributorId":334033,"corporation":false,"usgs":false,"family":"Sun","given":"Jingyao","email":"","affiliations":[{"id":80044,"text":"Shapotou Desert Research and Experiment Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China","active":true,"usgs":false}],"preferred":false,"id":894555,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yu, Kailiang","contributorId":221398,"corporation":false,"usgs":false,"family":"Yu","given":"Kailiang","email":"","affiliations":[{"id":40362,"text":"Department of Environmental Sciences, University of Virginia, Charlottesville, VA 22904, USA","active":true,"usgs":false}],"preferred":false,"id":894556,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chen, Ning","contributorId":221399,"corporation":false,"usgs":false,"family":"Chen","given":"Ning","email":"","affiliations":[{"id":40363,"text":"College of Life Sciences, Lanzhou University, Lanzhou 730000, China","active":true,"usgs":false}],"preferred":false,"id":894557,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":894558,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Li, Xinrong","contributorId":334034,"corporation":false,"usgs":false,"family":"Li","given":"Xinrong","email":"","affiliations":[{"id":80044,"text":"Shapotou Desert Research and Experiment Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China","active":true,"usgs":false}],"preferred":false,"id":894559,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jia, Rongliang","contributorId":334035,"corporation":false,"usgs":false,"family":"Jia","given":"Rongliang","email":"","affiliations":[{"id":80044,"text":"Shapotou Desert Research and Experiment Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China","active":true,"usgs":false}],"preferred":false,"id":894560,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}