{"pageNumber":"481","pageRowStart":"12000","pageSize":"25","recordCount":165415,"records":[{"id":70224643,"text":"70224643 - 2021 - Species mixture effects and climate influence growth, recruitment and mortality in Interior West USA Populus tremuloides-conifer communities","interactions":[],"lastModifiedDate":"2021-10-01T12:42:19.576185","indexId":"70224643","displayToPublicDate":"2021-05-24T07:38:57","publicationYear":"2021","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":"Species mixture effects and climate influence growth, recruitment and mortality in Interior West USA Populus tremuloides-conifer communities","docAbstract":"
  1. Tree-species mixture effects (e.g. complementarity and facilitation) have been found to increase individual-tree productivity, lessen mortality and improve recruitment in forests worldwide. By promoting more efficient and complete resource use, mixture effects may also lessen individual-tree-level water stress, thus improving drought resistance. We investigated the influence of mixture effects on tree productivity, mortality and recruitment across broad compositional and moisture gradients in high-elevation Interior West US mixed-conifer communities, where Populus tremuloides (trembling aspen) is the major contributor to functional diversity. Our goal was to provide a more complete scientific foundation for managing these drought-prone, fire-excluded systems under an uncertain climate.
  2. We used landscape-scale national forest inventory data to examine mixture effects on P. tremuloides and the major associated conifer species, Pseudotsuga menziesii, Pinus contorta, Abies lasiocarpa and Picea engelmannii. Using generalized linear mixed modelling, we isolated the influences of P. tremuloides relative density and climate on tree-level (stems ≥ 12.7 cm DBH) growth, mortality and stand-level recruitment (presence/absence of new trees). Cold-season precipitation (PPT) and warm-season vapour pressure deficit (VPD) served to represent soil moisture supply and demand, respectively.
  3. Populus tremuloides growth declined as interspecific density increased. In contrast, Pinus contorta and A. lasiocarpa growth increased with P. tremuloides density. For all species except A. lasiocarpa and P. menziesii, growth increased under higher PPT and VPD. Populus tremuloides mortality increased under high VPD but not with interspecific relative density. We found limited evidence that A. lasiocarpa mortality decreased as P. tremuloides density increased. Populus tremuloides recruitment declined steeply above 25% interspecific relative density. We found a decline in conifer recruitment odds as P. tremuloides density increased, ranging from strong in P. contorta to insubstantial in P. engelmannii.
  4. Synthesis. Our findings have implications for sustaining mixed-conifer communities impacted by climate change and historical fire exclusion. Mixtures of P. tremuloides and conifers may improve conifer growth while adversely impacting P. tremuloides growth relative to pure stands. Higher conifer productivity combined with lower P. tremuloides recruitment at high conifer relative density may accelerate succession.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2745.13709","usgsCitation":"Looney, C.E., Previant, W.J., Bradford, J., and Nagel, L.M., 2021, Species mixture effects and climate influence growth, recruitment and mortality in Interior West USA Populus tremuloides-conifer communities: Journal of Ecology, v. 109, no. 8, p. 2934-2949, https://doi.org/10.1111/1365-2745.13709.","productDescription":"16 p.","startPage":"2934","endPage":"2949","ipdsId":"IP-126822","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":452164,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2745.13709","text":"Publisher Index Page"},{"id":390103,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"109","issue":"8","noUsgsAuthors":false,"publicationDate":"2021-06-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Looney, Christopher E.","contributorId":222544,"corporation":false,"usgs":false,"family":"Looney","given":"Christopher","email":"","middleInitial":"E.","affiliations":[{"id":40558,"text":"University of Minnesota, Department of Forest Resources, Green Hall, 1530 Cleveland Ave. N, St. Paul, MN 55108, USA","active":true,"usgs":false}],"preferred":false,"id":824516,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Previant, Wilfred J","contributorId":266179,"corporation":false,"usgs":false,"family":"Previant","given":"Wilfred","email":"","middleInitial":"J","affiliations":[{"id":54940,"text":"Forest Inventory and Analysis Program Manager, Colorado State Forest Service, 5060 Campus Delivery, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":824517,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":824518,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nagel, Linda M","contributorId":266180,"corporation":false,"usgs":false,"family":"Nagel","given":"Linda","email":"","middleInitial":"M","affiliations":[{"id":54941,"text":"Colorado State University, Department of Forest and Rangeland Stewardship, 1472 Campus Delivery, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":824519,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70220862,"text":"70220862 - 2021 - Time marches on, but do the causal pathways driving instream habitat and biology remain consistent?","interactions":[],"lastModifiedDate":"2021-06-01T17:50:52.039437","indexId":"70220862","displayToPublicDate":"2021-05-24T07:29:22","publicationYear":"2021","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":"Time marches on, but do the causal pathways driving instream habitat and biology remain consistent?","docAbstract":"

Stream ecosystems are complex networks of interacting terrestrial and aquatic drivers. To untangle these ecological networks, efforts evaluating the direct and indirect effects of landscape, climate, and instream predictors on biological condition through time are needed. We used structural equation modeling and leveraged a stream survey program to identify and compare important predictors driving condition of benthic macroinvertebrate and fish assemblages. We used data resampled 14 years apart at 252 locations across Maryland, USA. Sample locations covered a wide range of conditions that varied spatiotemporally. Overall, the relationship directions were consistent between sample periods, but their relative strength varied temporally. For benthic macroinvertebrates, we found that the total effect of natural landscape (e.g., elevation, longitude, latitude, geology) and land use (i.e., forest, development, agriculture) predictors was 1.4 and 1.5 times greater in the late 2010s compared to the 2000s. Moreover, the total effect of water quality (e.g., total nitrogen and conductivity) and habitat (e.g., embeddedness, riffle quality) was 1.2 and 4.8 times lower in the 2010s, respectively. For fish assemblage condition, the total effect of land use-land cover predictors was 2.3 times greater in the 2010s compared to the 2000s, while the total effect of local habitat was 1.4 times lower in the 2010s, respectively. As expected, we found biological assemblages in catchments with more agriculture and urban development were generally comprised of tolerant, generalist species, while assemblages in catchments with greater forest cover had more-specialized, less-tolerant species (e.g., Ephemeroptera, Plecoptera, and Trichoptera taxa, clingers, benthic and lithophilic spawning fishes). Changes in the relative importance of landscape and land-use predictors suggest other correlated, yet unmeasured, proximal factors became more important over time. By untangling these ecological networks, stakeholders can gain a better understanding of the spatiotemporal relationships driving biological condition to implement management practices aimed at improving stream condition.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2021.147985","usgsCitation":"Walker, R.H., Ashton, M.J., Cashman, M.J., Fanelli, R., Krause, K.P., Noe, G.E., and Maloney, K.O., 2021, Time marches on, but do the causal pathways driving instream habitat and biology remain consistent?: Science of the Total Environment, v. 789, 147985, 14 p., https://doi.org/10.1016/j.scitotenv.2021.147985.","productDescription":"147985, 14 p.","ipdsId":"IP-127928","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":452166,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2021.147985","text":"Publisher Index Page"},{"id":385980,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"789","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Walker, Richard H 0000-0001-9167-5326","orcid":"https://orcid.org/0000-0001-9167-5326","contributorId":258781,"corporation":false,"usgs":true,"family":"Walker","given":"Richard","email":"","middleInitial":"H","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":816488,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ashton, Matthew J. 0000-0002-0166-5210","orcid":"https://orcid.org/0000-0002-0166-5210","contributorId":258782,"corporation":false,"usgs":false,"family":"Ashton","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":33964,"text":"Maryland Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":816489,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":816490,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fanelli, Rosemary M. 0000-0002-0874-1925","orcid":"https://orcid.org/0000-0002-0874-1925","contributorId":206608,"corporation":false,"usgs":true,"family":"Fanelli","given":"Rosemary M.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":816491,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krause, Kevin P. 0000-0002-0255-7027","orcid":"https://orcid.org/0000-0002-0255-7027","contributorId":218454,"corporation":false,"usgs":true,"family":"Krause","given":"Kevin","email":"","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":816492,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":816493,"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":816494,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70221101,"text":"70221101 - 2021 - Improved methods for understanding the role of predation on dreissenid population dynamics","interactions":[],"lastModifiedDate":"2021-06-02T12:16:04.697333","indexId":"70221101","displayToPublicDate":"2021-05-24T07:14:03","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Improved methods for understanding the role of predation on dreissenid population dynamics","docAbstract":"

Impacts of dreissenid mussels (Dreissena spp.) on Great Lakes ecosystems are well documented, and a better understanding of mechanisms that cause variation in dreissenid abundance is needed. An outstanding question is how much dreissenid biomass is consumed by fish predation. A significant difficulty for investigating dreissenid consumption by fish is that dreissenids in stomachs are often a mix of indigestible shell and flesh, which can bias bioenergetics models and estimates of daily ration. Here, we develop an analysis to convert crushed shell and flesh mixtures found in fish diets to dry weight of digestible dreissenid flesh. Quagga Dreissena rostiformis bugensis and zebra Dreissena polymorpha mussels were used in separate dry weight analyses simulating stomach contents ranging from individual mussels to aggregates of each species. A species-specific dry weight relationship was observed when comparing flesh-only dry weight to total dry weight (shell + flesh) for individual dreissenid but not for aggregates. Thus, the model is applicable in providing more precise estimates of dreissenid flesh dry weight in fish diets.

","language":"English","publisher":"Springer","doi":"10.1007/s10641-021-01054-2","usgsCitation":"Keretz, K.R., Kraus, R., and Schmitt, J., 2021, Improved methods for understanding the role of predation on dreissenid population dynamics: Environmental Biology of Fishes, v. 104, p. 629-633, https://doi.org/10.1007/s10641-021-01054-2.","productDescription":"5 p.","startPage":"629","endPage":"633","ipdsId":"IP-116741","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":436352,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P941VMIN","text":"USGS data release","linkHelpText":"Zebra and Quagga Mussel Dry Weight Information; Lake Erie 2014"},{"id":386112,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"104","noUsgsAuthors":false,"publicationDate":"2021-05-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Keretz, Kevin R. 0000-0002-4808-8350 kkeretz@usgs.gov","orcid":"https://orcid.org/0000-0002-4808-8350","contributorId":5859,"corporation":false,"usgs":true,"family":"Keretz","given":"Kevin","email":"kkeretz@usgs.gov","middleInitial":"R.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":816767,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kraus, Richard 0000-0003-4494-1841","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":216548,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":816768,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmitt, Joseph 0000-0002-8354-4067","orcid":"https://orcid.org/0000-0002-8354-4067","contributorId":221020,"corporation":false,"usgs":true,"family":"Schmitt","given":"Joseph","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":816769,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70228478,"text":"70228478 - 2021 - Environmental conditions associated with occurrences of the threatened Yaqui Catfish in the Yaqui River Basin, Mexico","interactions":[],"lastModifiedDate":"2022-02-14T11:41:43.971818","indexId":"70228478","displayToPublicDate":"2021-05-23T13:22:47","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Environmental conditions associated with occurrences of the threatened Yaqui Catfish in the Yaqui River Basin, Mexico","docAbstract":"

The Yaqui Catfish Ictalurus pricei is an understudied species, with limited information available on its ecology, distribution, and local habitat use. Native to the southwestern United States and northwestern Mexico, Yaqui Catfish populations are declining, which has prompted listing of the species as threatened in the United States and as a species of concern in Mexico. Water overallocation, habitat degradation, invasive species introductions, and hybridization with nonnative Channel Catfish I. punctatus have caused the populations in Mexico to decline. The United States population collapsed after years of low recruitment. To better focus conservation efforts as well as define habitat associated with Yaqui Catfish occurrences, we assessed the distribution in the Yaqui River basin of Mexico by using historical data at a landscape scale. Yaqui Catfish were historically found across the watershed among a diversity of environments but were most frequently associated with small, intermittent streams. Basin land cover was dominated by forest, shrubland, and grassland, and Yaqui Catfish generally occurred in stream segments at similar proportions. However, a small number of Yaqui Catfish occurrences were associated with urban and cropland land cover types in proportions greater than the availability of those categories on the landscape. With the species facing declines in the region, this work will help to inform future conservation efforts aimed at securing the Yaqui Catfish, protecting suitable habitat, and better defining its current status in Mexico.

","language":"English","publisher":"Wiley","doi":"10.1002/nafm.10653","usgsCitation":"Hafen, T., Taylor, A., Hendrickson, D., Stewart, D., and Long, J.M., 2021, Environmental conditions associated with occurrences of the threatened Yaqui Catfish in the Yaqui River Basin, Mexico: North American Journal of Fisheries Management, v. 41, no. S1, p. S54-S63, https://doi.org/10.1002/nafm.10653.","productDescription":"10 p.","startPage":"S54","endPage":"S63","ipdsId":"IP-116641","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":452171,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10653","text":"Publisher Index Page"},{"id":395860,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","otherGeospatial":"Yaqui River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.3154296875,\n 28.97931203672246\n ],\n [\n -106.4794921875,\n 25.64152637306577\n ],\n [\n -103.3154296875,\n 26.07652055985697\n ],\n [\n -101.35986328125,\n 25.443274612305746\n ],\n [\n -103.3154296875,\n 28.97931203672246\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"S1","noUsgsAuthors":false,"publicationDate":"2021-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Hafen, T.","contributorId":272271,"corporation":false,"usgs":false,"family":"Hafen","given":"T.","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":834387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, A.T.","contributorId":275887,"corporation":false,"usgs":false,"family":"Taylor","given":"A.T.","affiliations":[{"id":54572,"text":"University of Central Oklahoma","active":true,"usgs":false}],"preferred":false,"id":834388,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hendrickson, D.A.","contributorId":275889,"corporation":false,"usgs":false,"family":"Hendrickson","given":"D.A.","affiliations":[{"id":36422,"text":"University of Texas","active":true,"usgs":false}],"preferred":false,"id":834389,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stewart, D.R.","contributorId":269640,"corporation":false,"usgs":false,"family":"Stewart","given":"D.R.","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":834390,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":834515,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70221445,"text":"70221445 - 2021 - Comment on ‘New insights on Franciscan Complex geology, architecture, depositional age, and provenance for the western Mt. Tamalpais area, Marin County, California’ by Bero et al. (2020)","interactions":[],"lastModifiedDate":"2022-04-26T11:47:34.621945","indexId":"70221445","displayToPublicDate":"2021-05-23T06:55:58","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2020,"text":"International Geology Review","active":true,"publicationSubtype":{"id":10}},"title":"Comment on ‘New insights on Franciscan Complex geology, architecture, depositional age, and provenance for the western Mt. Tamalpais area, Marin County, California’ by Bero et al. (2020)","docAbstract":"

Serious errors and inconsistencies in the article undermine many of its interpretations to the point that principal conclusions are not valid. Much dependence is placed on the maximum depositional age (Dmax) of sandstone units based on zircon analysis of 10 samples, but calculation of those Dmax values is flawed, and their use confuses maximum with actual depositional ages and makes age distinctions finer than the resolution of the data. Conclusions that are compromised include the concept of a westward/downward-younging tectonostratigraphic stack of accretionary units, comparison of mapped sandstones with other California Coast Ranges sandstones, comparison of timing of events recorded in the map area with regional events, identification of mélange only in a narrow band in the study area, and detrital provenance of some of the sandstone units.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00206814.2021.1923075","usgsCitation":"Graymer, R., Dumitru, T.A., McLaughlin, R., and Wentworth, C.M., 2021, Comment on ‘New insights on Franciscan Complex geology, architecture, depositional age, and provenance for the western Mt. Tamalpais area, Marin County, California’ by Bero et al. (2020): International Geology Review, v. 64, no. 8, p. 1191-1197, https://doi.org/10.1080/00206814.2021.1923075.","productDescription":"7 p.","startPage":"1191","endPage":"1197","ipdsId":"IP-125554","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":452172,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/journal_contribution/Comment_on_New_insights_on_Franciscan_Complex_geology_architecture_depositional_age_and_provenance_for_the_western_Mt_Tamalpais_area_Marin_County_California_by_Bero_et_al_2020_/14657907","text":"External Repository"},{"id":386521,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay area, Mount Tamalpais","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.772216796875,\n 36.81808022778526\n ],\n [\n -121.47583007812501,\n 36.81808022778526\n ],\n [\n -121.47583007812501,\n 38.453588708941375\n ],\n [\n -122.772216796875,\n 38.453588708941375\n ],\n [\n -122.772216796875,\n 36.81808022778526\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"64","issue":"8","noUsgsAuthors":false,"publicationDate":"2021-05-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Graymer, Russell 0000-0003-4910-5682","orcid":"https://orcid.org/0000-0003-4910-5682","contributorId":207816,"corporation":false,"usgs":true,"family":"Graymer","given":"Russell","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":817728,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dumitru, Trevor A. 0000-0001-9928-7627","orcid":"https://orcid.org/0000-0001-9928-7627","contributorId":260323,"corporation":false,"usgs":false,"family":"Dumitru","given":"Trevor","email":"","middleInitial":"A.","affiliations":[{"id":52568,"text":"Jasper Canyon Research, Inc.","active":true,"usgs":false}],"preferred":false,"id":817729,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McLaughlin, Robert J. 0000-0002-4390-2288","orcid":"https://orcid.org/0000-0002-4390-2288","contributorId":211450,"corporation":false,"usgs":true,"family":"McLaughlin","given":"Robert J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":817730,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wentworth, Carl M. 0000-0003-2569-569X cwent@usgs.gov","orcid":"https://orcid.org/0000-0003-2569-569X","contributorId":1178,"corporation":false,"usgs":true,"family":"Wentworth","given":"Carl","email":"cwent@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":817731,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70224947,"text":"70224947 - 2021 - Range-wide declines of northern spotted owl populations in the Pacific Northwest: A meta-analysis","interactions":[],"lastModifiedDate":"2025-05-21T14:41:11.086167","indexId":"70224947","displayToPublicDate":"2021-05-23T06:02:01","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9374,"text":"Biological Conservation,","active":true,"publicationSubtype":{"id":10}},"title":"Range-wide declines of northern spotted owl populations in the Pacific Northwest: A meta-analysis","docAbstract":"

The northern spotted owl (Strix occidentalis caurina) inhabits older coniferous forests in the Pacific Northwest and has been at the center of forest management issues in this region. The immediate threats to this federally listed species include habitat loss and competition with barred owls (Strix varia), which invaded from eastern North America. We conducted a prospective meta-analysis to assess population trends and factors affecting those trends in northern spotted owls using 26 years of survey and capture-recapture data from 11 study areas across the owls' geographic range to analyze demographic traits, rates of population change, and occupancy parameters for spotted owl territories. We found that northern spotted owl populations experienced significant declines of 6–9% annually on 6 study areas and 2–5% annually on 5 other study areas. Annual declines translated to ≤35% of the populations remaining on 7 study areas since 1995. Barred owl presence on spotted owl territories was the primary factor negatively affecting apparent survival, recruitment, and ultimately, rates of population change. Analysis of spotted and barred owl detections in an occupancy framework corroborated the capture-recapture analyses with barred owl presence increasing territorial extinction and decreasing territorial colonization of spotted owls. While landscape habitat components reduced the effect of barred owls on these rates of decline, they did not reverse the negative trend. Our analyses indicated that northern spotted owl populations potentially face extirpation if the negative effects of barred owls are not ameliorated while maintaining northern spotted owl habitat across their range.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2021.109168","usgsCitation":"Franklin, A.B., Dugger, K.M., Lesmeister, D.B., Davis, R.J., Wiens, J.D., White, G.C., Nichols, J., Hines, J.E., Yackulic, C.B., Schwarz, C.J., Ackers, S.H., Stevens, A.L., Bailey, L., Bown, R., Burgher, J., Burnham, K.P., Carlson, P., Chestnut, T., Conner, M.M., Dilione, K., Forsman, E.D., Glenn, E., Gremel, S., Hamm, K.A., Herter, D.R., Higley, J.M., Horn, R.B., Jenkins, J.M., Kendall, W.L., Lamphear, D., McCafferty, C., McDonald, T.L., Reid, J.A., Rockweit, J.T., Simon, D.C., Sovern, S., Swingle, J., and Wise, H., 2021, Range-wide declines of northern spotted owl populations in the Pacific Northwest: A meta-analysis: Biological Conservation,, v. 259, 109168, 20 p., https://doi.org/10.1016/j.biocon.2021.109168.","productDescription":"109168, 20 p.","ipdsId":"IP-126750","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":390318,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":452174,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2021.109168","text":"Publisher Index Page"}],"country":"United States","state":"California, Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.04687499999999,\n 49.03786794532644\n ],\n [\n -123.00292968749999,\n 48.8936153614802\n ],\n [\n -122.958984375,\n 48.31242790407178\n ],\n [\n -123.57421875,\n 48.3416461723746\n ],\n [\n -125.068359375,\n 48.45835188280866\n ],\n [\n -124.5849609375,\n 46.89023157359399\n ],\n [\n -124.76074218749999,\n 44.05601169578525\n ],\n [\n -124.8046875,\n 42.5530802889558\n ],\n [\n -124.76074218749999,\n 40.84706035607122\n ],\n [\n -124.18945312500001,\n 39.16414104768742\n ],\n [\n -123.0908203125,\n 38.09998264736481\n ],\n [\n -122.16796875,\n 37.82280243352756\n ],\n [\n -122.56347656249999,\n 39.470125122358176\n ],\n [\n -121.77246093750001,\n 41.07935114946899\n ],\n [\n -121.1572265625,\n 42.58544425738491\n ],\n [\n -120.498046875,\n 43.70759350405294\n ],\n [\n -119.61914062499999,\n 45.98169518512228\n ],\n [\n -119.70703125,\n 47.42808726171425\n ],\n [\n -119.674072265625,\n 49.001843917978526\n ],\n [\n -123.04687499999999,\n 49.03786794532644\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"259","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Franklin, Alan B.","contributorId":101999,"corporation":false,"usgs":false,"family":"Franklin","given":"Alan","email":"","middleInitial":"B.","affiliations":[{"id":12434,"text":"USDA, Wildlife Services, National Wildlife Research Center","active":true,"usgs":false}],"preferred":false,"id":824766,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dugger, Katie M. 0000-0002-4148-246X","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":36037,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"","middleInitial":"M.","affiliations":[{"id":517,"text":"Oregon Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":824779,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lesmeister, Damon B. 0000-0003-1102-0122","orcid":"https://orcid.org/0000-0003-1102-0122","contributorId":205006,"corporation":false,"usgs":false,"family":"Lesmeister","given":"Damon","email":"","middleInitial":"B.","affiliations":[{"id":37019,"text":"USDA Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":824780,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Raymond J.","contributorId":150574,"corporation":false,"usgs":false,"family":"Davis","given":"Raymond","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":824781,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wiens, J. 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J.","contributorId":42525,"corporation":false,"usgs":false,"family":"Schwarz","given":"Carl","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":824787,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ackers, Steven H.","contributorId":36065,"corporation":false,"usgs":true,"family":"Ackers","given":"Steven","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":824788,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Stevens, Andrew L.","contributorId":199914,"corporation":false,"usgs":false,"family":"Stevens","given":"Andrew","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":824789,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Bailey, Larissa L.","contributorId":229353,"corporation":false,"usgs":false,"family":"Bailey","given":"Larissa L.","affiliations":[{"id":6621,"text":"Colorado State 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The Sac and Fox Tribe of the Mississippi in Iowa is the only federally recognized Tribe in the State of Iowa and is commonly known as the Meskwaki Nation. The Tribe owns more than 8,100 acres, referred to as the “Meskwaki Settlement.” The Meskwaki Settlement uses a well field that withdraws water from the Iowa River alluvial aquifer (IRAA) to supply drinking water to members of the Tribe. Increased severity and timing of flooding and drought conditions, coupled with water-quality concerns in the Iowa River, have prompted the Meskwaki Nation to start identifying tools to provide a better understanding of how extreme climate events (changes in streamflow, flood frequency, and magnitude and persistence of drought conditions), increasing water-supply demands, and groundwater storage depletion will affect water availability in the IRAA.

From June 2017 through September 2020, the U.S. Geological Survey, in cooperation with the Meskwaki Nation, collected continuous and discrete groundwater level data from 11 wells in a U.S. Geological Survey monitoring-well network. Groundwater level data collected at these wells were assessed with daily precipitation data and compared to changes in stream level elevations and daily groundwater withdrawals to determine how these changes affect groundwater-table elevations. Results from this study could be used to guide the development of a conceptual model for groundwater flow and a groundwater flow model for the IRAA to quantify and forecast the effect of groundwater withdrawals, Iowa River streamflow, and local precipitation on the water table in the IRAA.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211019","collaboration":"Prepared in cooperation with the Sac and Fox Tribe of the Mississippi in Iowa","usgsCitation":"Gruhn, L.R., and Haj, A.E., 2021, Effect of groundwater withdrawals, river stage, and precipitation on water-table elevations in the Iowa River alluvial aquifer near Tama, Iowa, 2017–20: U.S. Geological Survey Open-File Report 2021–1019, 11 p., https://doi.org/10.3133/ofr20211019.","productDescription":"Report: vi, 11 p.; Data Release; Dataset","numberOfPages":"22","onlineOnly":"Y","ipdsId":"IP-124518","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":385788,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2021/1019/images"},{"id":385789,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2021/1019/ofr20211019.XML"},{"id":385680,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1019/coverthb.jpg"},{"id":385681,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1019/ofr20211019.pdf","text":"Report","size":"2.92 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021–1019"},{"id":385682,"rank":3,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"U.S. Geological Survey National Water Information System database","linkHelpText":"— USGS water data for the Nation"},{"id":385683,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P912FO3L","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Geospatial datasets for the flood-inundation study for the Iowa River at the Meskwaki Settlement in Iowa, 2019"}],"country":"United States","state":"Iowa","county":"Tama County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-92.2996,42.2975],[-92.2992,42.2098],[-92.2989,42.1226],[-92.2991,42.0354],[-92.2977,41.9786],[-92.2994,41.95],[-92.299,41.8623],[-92.418,41.8625],[-92.5357,41.8621],[-92.6522,41.862],[-92.7674,41.8618],[-92.7671,41.9494],[-92.7662,42.0348],[-92.7672,42.1234],[-92.7687,42.2101],[-92.7697,42.2964],[-92.6531,42.2971],[-92.5353,42.2972],[-92.418,42.2976],[-92.2996,42.2975]]]},\"properties\":{\"name\":\"Tama\",\"state\":\"IA\"}}]}","contact":"

Director, Central Midwest Water Science Center
U.S. Geological Survey
400 South Clinton Street, Suite 269
Iowa City, IA 52240

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2021-05-17","noUsgsAuthors":false,"publicationDate":"2021-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Gruhn, Lance R. 0000-0002-7120-3003 lgruhn@usgs.gov","orcid":"https://orcid.org/0000-0002-7120-3003","contributorId":219710,"corporation":false,"usgs":true,"family":"Gruhn","given":"Lance","email":"lgruhn@usgs.gov","middleInitial":"R.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":815833,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haj, Adel E. 0000-0002-3377-7161 ahaj@usgs.gov","orcid":"https://orcid.org/0000-0002-3377-7161","contributorId":147631,"corporation":false,"usgs":true,"family":"Haj","given":"Adel","email":"ahaj@usgs.gov","middleInitial":"E.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":815834,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70227718,"text":"70227718 - 2021 - Hydrologic variation influences stream fish assemblage dynamics through flow regime and drought","interactions":[],"lastModifiedDate":"2022-01-27T16:46:41.231123","indexId":"70227718","displayToPublicDate":"2021-05-21T10:41:35","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic variation influences stream fish assemblage dynamics through flow regime and drought","docAbstract":"

Hydrologic variation can play a major role in structuring stream fish assemblages and relationships between hydrology and biology are likely to be influenced by flow regime. We hypothesized that more variable flow regimes would have lower and more variable species richness, higher species turnover and lower assemblage stability, and greater abiotic environment-fish relationships than more stable flow regimes. We sampled habitats (pool, run, and riffle) in three Runoff/Intermittent Flashy streams (highly variable flow regime) and three Groundwater Flashy streams (less variable flow regime) seasonally (spring, early summer, summer and autumn) in 2002 (drought year) and 2003 (wet year). We used backpack electrofishing and three-pass removal techniques to estimate fish species richness, abundance and density. Fish species richness and abundance remained relatively stable within streams and across seasons, but densities changed substantially as a result of decreased habitat volume. Mixed model analysis showed weak response variable-habitat relationships with strong season effects in 2002, and stronger habitat relationships and no season effect in 2003, and flow regime was not important in structuring these relationships. Seasonal fish species turnover was significantly greater in 2002 than 2003, but did not differ between flow regimes. Fish assemblage stability was significantly lower in Runoff/Intermittent Flashy than Groundwater Flashy streams in 2002, but did not differ between flow regimes in 2003. Redundancy analysis showed fish species densities were well separated by flow regime in both years. Periodic and opportunistic species were characteristic of Runoff/Intermittent Flashy streams, whereas mainly equilibrium species were characteristic of Groundwater Flashy streams. We found that spatial and temporal variation in hydrology had a strong influence on fish assemblage dynamics in Ozark streams with lower assemblage stability and greater fluctuations in density in more hydrologically variable streams and years. Understanding relationships between fish assemblage structure and hydrologic variation is vital for conservation of fish biodiversity. Future work should consider addressing how alteration of hydrologic variation will affect biotic assemblages.

","language":"English","publisher":"Nature","doi":"10.1038/s41598-021-89632-3","usgsCitation":"Magoulick, D.D., Dekar, M.P., Hodges, S.W., Scott, M.K., Rabalais, M.R., and Bare, C.M., 2021, Hydrologic variation influences stream fish assemblage dynamics through flow regime and drought: Scientific Reports, v. 11, 10704, 15 p., https://doi.org/10.1038/s41598-021-89632-3.","productDescription":"10704, 15 p.","ipdsId":"IP-084686","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":452176,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-021-89632-3","text":"Publisher Index Page"},{"id":394978,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Missouri, Oklahoma","otherGeospatial":"Ozark Plateau","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.7578125,\n 33.137551192346145\n ],\n [\n -92.2412109375,\n 34.379712580462204\n ],\n [\n -89.912109375,\n 37.75334401310656\n ],\n [\n -93.4716796875,\n 38.272688535980976\n ],\n [\n -94.6142578125,\n 36.84446074079564\n ],\n [\n -95.9326171875,\n 35.38904996691167\n ],\n [\n -96.767578125,\n 34.70549341022544\n ],\n [\n -96.1962890625,\n 33.8339199536547\n ],\n [\n -94.4384765625,\n 33.797408767572485\n ],\n [\n -93.955078125,\n 33.137551192346145\n ],\n [\n -91.7578125,\n 33.137551192346145\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","noUsgsAuthors":false,"publicationDate":"2021-05-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":831901,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dekar, M. P.","contributorId":272274,"corporation":false,"usgs":false,"family":"Dekar","given":"M.","email":"","middleInitial":"P.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":831902,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hodges, S. W.","contributorId":272275,"corporation":false,"usgs":false,"family":"Hodges","given":"S.","email":"","middleInitial":"W.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":831903,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scott, M. K.","contributorId":272276,"corporation":false,"usgs":false,"family":"Scott","given":"M.","email":"","middleInitial":"K.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":831904,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rabalais, M. R.","contributorId":272277,"corporation":false,"usgs":false,"family":"Rabalais","given":"M.","email":"","middleInitial":"R.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":831905,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bare, C. M.","contributorId":272278,"corporation":false,"usgs":false,"family":"Bare","given":"C.","email":"","middleInitial":"M.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":831906,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70262416,"text":"70262416 - 2021 - Threading the needle: How humans influence predator–prey spatiotemporal interactions in a multiple‐predator system","interactions":[],"lastModifiedDate":"2025-01-23T16:23:49.063822","indexId":"70262416","displayToPublicDate":"2021-05-21T10:02:10","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Threading the needle: How humans influence predator–prey spatiotemporal interactions in a multiple‐predator system","docAbstract":"
  1. Perceived predation risk and the resulting antipredator behaviour varies across space, time and predator identity. Communities with multiple predators that interact and differ in their use of space, time of activity and hunting mode create a complex landscape for prey to avoid predation. Anthropogenic presence and disturbance have the potential to shift interactions among predators and prey and the where and when encounters occur.
  2. We examined how white-tailed deer Odocoileus virginianus fawn spatiotemporal antipredator behaviour differed along an anthropogenic disturbance gradient that had black bears Ursus americanus, coyotes Canis latrans, bobcats Lynx rufus and humans present.
  3. We quantified (a) spatial co-occurrence in species distributions, (b) temporal overlap across the diel cycle and (c) spatiotemporal associations between humans, bears, coyotes, bobcats, adult male deer and fawns. We also examined how deer vigilance behaviour changed across the anthropogenic disturbance gradient and survey duration.
  4. Anthropogenic disturbance influenced spatiotemporal co-occurrence across multiple scales, often increasing spatiotemporal overlap among species. In general, species’ spatial co-occurrence was neutral or positive in anthropogenically disturbed environments. Bears and fawns, coyotes and adult male deer, and bobcats and fawns all had higher temporal overlap in the agriculture-development matrix sites. In addition, factors that influenced deer vigilance (e.g. distance to forest edge and predator relative abundance) in the agriculture-development matrix sites did not in the forest matrix site.
  5. By taking into account the different antipredator behaviours that can be detected and the different scales these behaviours might occur, we were able to gain a more comprehensive picture of how humans reduce available niche space for wildlife, creating the neutral and positive spatiotemporal associations between species that studies have been seeing in more disturbed areas.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.13548","usgsCitation":"Murphy, A., Diefenbach, D.R., Ternent, M., Lovallo, M., and Miller, D., 2021, Threading the needle: How humans influence predator–prey spatiotemporal interactions in a multiple‐predator system: Journal of Animal Ecology, v. 90, no. 10, p. 2377-2390, https://doi.org/10.1111/1365-2656.13548.","productDescription":"14 p.","startPage":"2377","endPage":"2390","ipdsId":"IP-124481","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":502428,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":481002,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Bald Eagle State Forest, Rothrock State Forest,Susquehannock State Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -79.02157116572491,\n 41.972108198483454\n ],\n [\n -79.02157116572491,\n 39.782215061770785\n ],\n [\n -75.79463976505332,\n 39.782215061770785\n ],\n [\n -75.79463976505332,\n 41.972108198483454\n ],\n [\n -79.02157116572491,\n 41.972108198483454\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"90","issue":"10","noUsgsAuthors":false,"publicationDate":"2021-06-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Murphy, Asia","contributorId":349218,"corporation":false,"usgs":false,"family":"Murphy","given":"Asia","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":924149,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diefenbach, Duane R. 0000-0001-5111-1147 drd11@usgs.gov","orcid":"https://orcid.org/0000-0001-5111-1147","contributorId":5235,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Duane","email":"drd11@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":924148,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ternent, Mark","contributorId":349219,"corporation":false,"usgs":false,"family":"Ternent","given":"Mark","affiliations":[{"id":56616,"text":"PA Game Commission","active":true,"usgs":false}],"preferred":false,"id":924150,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lovallo, Matt","contributorId":349220,"corporation":false,"usgs":false,"family":"Lovallo","given":"Matt","affiliations":[{"id":56616,"text":"PA Game Commission","active":true,"usgs":false}],"preferred":false,"id":924151,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, David","contributorId":349221,"corporation":false,"usgs":false,"family":"Miller","given":"David","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":924152,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70220594,"text":"sir20205138 - 2021 - Improving flood-frequency analysis with a 4,000-year record of flooding on the Tennessee River near Chattanooga, Tennessee","interactions":[],"lastModifiedDate":"2021-05-24T11:50:23.066538","indexId":"sir20205138","displayToPublicDate":"2021-05-21T09:15:36","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5138","displayTitle":"Improving Flood-Frequency Analysis with a 4,000-Year Record of Flooding on the Tennessee River near Chattanooga, Tennessee","title":"Improving flood-frequency analysis with a 4,000-year record of flooding on the Tennessee River near Chattanooga, Tennessee","docAbstract":"

This comprehensive field study applied paleoflood hydrology methods to estimate the frequency of low-probability floods for the Tennessee River near Chattanooga, Tennessee. The study combined stratigraphic records of large, previously unrecorded floods with modern streamflow records and historical flood accounts. The overall approach was to (1) develop a flood chronology for the Tennessee River near Chattanooga using stratigraphic analyses and geochronology from multiple sites at multiple elevations in the study area; (2) estimate peak flow magnitudes associated with elevations of flood evidence using a one-dimensional hydraulic model; (3) combine the information obtained from steps 1 and 2 to develop a history of timing and magnitude of large floods in the study reach; and (4) use all available information (including paleoflood, gaged, and historical records of flooding) to estimate flood frequency using a standardized statistical approach for flood-frequency analysis.

The stratigraphy, geochronology, and hydraulic modeling results from all paleoflood sites along the Tennessee River were distilled into an overall chronology of the number, timing, and magnitude of large unrecorded floods. In total, 30 sites were identified and the stratigraphy of 17 of those sites was closely examined, measured, and recorded. Flood-frequency analyses were done using the U.S. Geological Survey software program PeakFQ v7.2 that follows the Guidelines for Determining Flood Flow Frequency—Bulletin 17C.

Resolving stratigraphic and chronologic information from all 17 sites yielded information for eight unique large floods in the last 3,500–4,000 years for the Tennessee River near Chattanooga. Two of these floods had discharges of 470,000 cubic feet per second (ft3/s), slightly greater than the 1867 historical peak at the Chattanooga streamgage (459,000 ft3/s). One flood with a discharge of 1,100,000 ft3/s was substantially greater than any other flood on the Tennessee River during the last several thousand years. This large flood occurred only a few hundred years ago, likely in the mid-to-late 1600s. Two additional floods in the last 1,000 years had estimated magnitudes of about 420,000 and 400,000 ft3/s. The remaining three unique floods identified in the paleoflood record were much smaller (less than 240,000 ft3/s) and occurred about 3,000–800 years ago.

Flood-frequency analyses show that the addition of paleoflood information markedly improves estimates of low probability floods—most clearly shown by substantial narrowing of the 95-percent confidence limits. For the most plausible flood scenario, the 95-percent confidence interval for the 1,000-year quantile estimate derived from incorporating the four most recent paleofloods is about 480,000–620,000 ft3/s compared to about 380,000–610,000 ft3/s for the gaged and historical record alone, a reduction in the uncertainty of the estimate by 38 percent. Similarly, uncertainty for all flood quantile estimates from 100 to 10,000 years was reduced by 22–44 percent by the addition of the paleoflood record to the flood-frequency analyses.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205138","collaboration":"Prepared in cooperation with the Nuclear Regulatory Commission","usgsCitation":"Harden, T.M., O’Connor, J.E., Carr, M.L., and Keith, M., 2021, Improving flood-frequency analysis with a 4,000-year record of flooding on the Tennessee River near Chattanooga, Tennessee: U.S. Geological Survey Scientific Investigations Report 2020–5138, 64 p., https://doi.org/10.3133/sir20205138.","productDescription":"Report: viii, 64 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-116587","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":385808,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5138/coverthb.jpg"},{"id":385809,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5138/sir20205138.pdf","text":"Report","size":"20.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5138"},{"id":385810,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P914SLVM","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Hydraulic modeling and flood-frequency analyses using paleoflood hydrology for the Tennessee River near Chattanooga, Tennessee"}],"country":"United States","state":"Tennessee","city":"Chattanooga","otherGeospatial":"Tennessee River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.572509765625,\n 34.96699890670367\n ],\n [\n -85.0286865234375,\n 34.96699890670367\n ],\n [\n -85.0286865234375,\n 35.191766965947394\n ],\n [\n -85.572509765625,\n 35.191766965947394\n ],\n [\n -85.572509765625,\n 34.96699890670367\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Oregon Water Science Center
U.S. Geological Survey
2130 SW 5th Avenue
Portland, Oregon 97201

","tableOfContents":"","publishedDate":"2021-05-21","noUsgsAuthors":false,"publicationDate":"2021-05-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Harden, Tessa M. 0000-0001-9854-1347 tharden@usgs.gov","orcid":"https://orcid.org/0000-0001-9854-1347","contributorId":192153,"corporation":false,"usgs":true,"family":"Harden","given":"Tessa","email":"tharden@usgs.gov","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":816110,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O'Connor, Jim E. 0000-0002-7928-5883 oconnor@usgs.gov","orcid":"https://orcid.org/0000-0002-7928-5883","contributorId":140771,"corporation":false,"usgs":true,"family":"O'Connor","given":"Jim E.","email":"oconnor@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":816111,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carr, Meredith L. 0000-0003-1970-8511","orcid":"https://orcid.org/0000-0003-1970-8511","contributorId":238712,"corporation":false,"usgs":false,"family":"Carr","given":"Meredith","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":816112,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keith, Mackenzie 0000-0002-7239-0576 mkeith@usgs.gov","orcid":"https://orcid.org/0000-0002-7239-0576","contributorId":258250,"corporation":false,"usgs":false,"family":"Keith","given":"Mackenzie","email":"mkeith@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":816113,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70221151,"text":"70221151 - 2021 - Assessment of disease risk associated with potential removal of anthropogenic barriers to Mojave desert tortoise (Gopherus agassizii) population connectivity","interactions":[],"lastModifiedDate":"2021-10-06T16:01:17.065521","indexId":"70221151","displayToPublicDate":"2021-05-21T09:03:15","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Assessment of disease risk associated with potential removal of anthropogenic barriers to Mojave desert tortoise (Gopherus agassizii) population connectivity","title":"Assessment of disease risk associated with potential removal of anthropogenic barriers to Mojave desert tortoise (Gopherus agassizii) population connectivity","docAbstract":"

The Mojave Desert tortoise (Gopherus agassizii), federally listed as threatened, has suffered habitat loss and fragmentation due to human activities. Upper respiratory tract disease (URTD), a documented health threat to desert tortoises, has been detected at the Large-Scale Translocation Study Site (LSTS) in southwestern Nevada, US, a fenced recipient site for translocated animals. Our study aimed to 1) estimate prevalence of URTD and Mycoplasma infection at LSTS and three nearby unfenced sites; 2) assess whether Mycoplasma infection status was associated with developing clinical signs of URTD; and 3) determine whether such an association differed between LSTS and unfenced areas. We sampled 421 tortoises in 2016 to describe the current status of these populations. We evaluated three clinical signs of URTD (nasal discharge, ocular discharge, nasal erosions) and determined individual infection status for Mycoplasma agassizii and Mycoplasma testudineum by quantitative PCR and enzyme-linked immunosorbent assay. In 2016, LSTS had the highest prevalence of M. agassizii (25.0%; 33/132), M. testudineum (3.0%; 4/132), and URTD clinical signs (18.9%; 25/132). Controlling for other factors, clinical sign(s) were positively associated with M. agassizii infection (odds ratio [OR]=7.7, P=0.001), and this effect was similar among study sites (P>0.99). There was no association with M. testudineum status (P=0.360). Of the 196 tortoises in a longitudinal comparison of 2011–14 with 2016, an estimated 3.2% converted from M. agassizii-negative to positive during the study period, and incidence was greater at LSTS (P=0.002). Conversion to positive M. agassizii status was associated with increased incidence of clinical signs in subsequent years (OR=11.1, P=0.018). While M. agassizii and URTD are present outside the LSTS, there is a possibility that incidence of Mycoplasma infection and URTD would increase outside LSTS if these populations were to reconnect. Population-level significance of this risk appears low, and any risk must be evaluated against the potential long-term benefits to population viability through increased connectivity.

","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/JWD-D-20-00140","usgsCitation":"Burgess, T.L., Braun, J., Witte, C.L., Lamberski, N., Field. Kimberleigh J, Allison, L.J., Averill-Murray, R., Drake, K.K., Nussear, K.E., Esque, T., and Rideout, B.A., 2021, Assessment of disease risk associated with potential removal of anthropogenic barriers to Mojave desert tortoise (Gopherus agassizii) population connectivity: Journal of Wildlife Diseases, v. 57, no. 3, p. 579-589, https://doi.org/10.7589/JWD-D-20-00140.","productDescription":"11 p.","startPage":"579","endPage":"589","ipdsId":"IP-126597","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":389263,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Burgess, Tristan L.","contributorId":207772,"corporation":false,"usgs":false,"family":"Burgess","given":"Tristan","email":"","middleInitial":"L.","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":816857,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Braun, Josephine","contributorId":194539,"corporation":false,"usgs":false,"family":"Braun","given":"Josephine","affiliations":[{"id":17905,"text":"San Diego Zoo Global, San Diego, CA, USA","active":true,"usgs":false}],"preferred":false,"id":816858,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Witte, Carmel L","contributorId":259227,"corporation":false,"usgs":false,"family":"Witte","given":"Carmel","email":"","middleInitial":"L","affiliations":[{"id":38792,"text":"San Diego Zoo Global","active":true,"usgs":false}],"preferred":false,"id":816859,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lamberski, Nadine","contributorId":259228,"corporation":false,"usgs":false,"family":"Lamberski","given":"Nadine","affiliations":[{"id":38792,"text":"San Diego Zoo Global","active":true,"usgs":false}],"preferred":false,"id":816860,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Field. Kimberleigh J","contributorId":259229,"corporation":false,"usgs":false,"family":"Field. Kimberleigh J","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":816861,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Allison, Linda J. 0000-0003-1983-901X","orcid":"https://orcid.org/0000-0003-1983-901X","contributorId":229706,"corporation":false,"usgs":false,"family":"Allison","given":"Linda","email":"","middleInitial":"J.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":816862,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Averill-Murray, Roy C.","contributorId":173687,"corporation":false,"usgs":false,"family":"Averill-Murray","given":"Roy C.","affiliations":[{"id":27274,"text":"US Fish and Wildlife Service, Desert Tortoise Recovery Office, Reno, NV","active":true,"usgs":false}],"preferred":false,"id":816863,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Drake, K. Kristina 0000-0003-0711-7634 kdrake@usgs.gov","orcid":"https://orcid.org/0000-0003-0711-7634","contributorId":3799,"corporation":false,"usgs":true,"family":"Drake","given":"K.","email":"kdrake@usgs.gov","middleInitial":"Kristina","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":816864,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Nussear, Kenneth E.","contributorId":117361,"corporation":false,"usgs":false,"family":"Nussear","given":"Kenneth","email":"","middleInitial":"E.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":816865,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Esque, Todd 0000-0002-4166-6234 tesque@usgs.gov","orcid":"https://orcid.org/0000-0002-4166-6234","contributorId":195896,"corporation":false,"usgs":true,"family":"Esque","given":"Todd","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":816866,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rideout, Bruce A","contributorId":259231,"corporation":false,"usgs":false,"family":"Rideout","given":"Bruce","email":"","middleInitial":"A","affiliations":[{"id":38792,"text":"San Diego Zoo Global","active":true,"usgs":false}],"preferred":false,"id":816867,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70220659,"text":"70220659 - 2021 - Reconstructing paleohydrology in the northwest Great Basin since the last deglaciation using Paisley Caves fish remains (Oregon, U.S.A.)","interactions":[],"lastModifiedDate":"2021-05-24T13:41:01.171501","indexId":"70220659","displayToPublicDate":"2021-05-21T08:34:19","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Reconstructing paleohydrology in the northwest Great Basin since the last deglaciation using Paisley Caves fish remains (Oregon, U.S.A.)","docAbstract":"

The arid northwest Great Basin underwent substantial hydroclimate changes in the past 15,000 years, greatly affecting its desert ecosystems and prehistoric people. There are conflicting interpretations of the timing of hydrologic changes in this region, requiring more records to resolve the dominant climatic drivers. The Paisley Caves archaeological site, located near former pluvial Lake Chewaucan, contains well-dated, stratified sediments best known for evidence of early human occupation in North America. We present a novel paleohydrologic record for the Chewaucan basin based on the frequency of fish remains (Salmonidae and Cypriniformes, likely tui chub) and their carbon, oxygen, and strontium isotope compositions, from the Paisley Caves. Cypriniformes abundance peaks first at the start of the Bølling/Allerød warm interval (∼14.7 ka) and again during the early Younger Dryas (∼12.8 ka). Isotope compositions indicate tui chub were derived from an expansive Lake Chewaucan throughout the Bølling/Allerød, but mainly from spring- or stream-influenced sources by the late Younger Dryas to the present. Fish abundance dropped sharply through the Younger Dryas and early Holocene, when isotope compositions indicate a mix of habitats. Isotope compositions indicate the driest conditions during the middle Holocene, followed by slightly wetter conditions up to the present. This record agrees with recent pluvial lake reconstructions, supporting the hypothesis that a northward shift in the winter storm track supported deep lakes throughout the Bølling/Allerød in the northwest Great Basin. Lake level decline during the Younger Dryas suggests drying climate, differing from more southerly records. During the Holocene, however, shifts in Chewaucan basin hydrology are consistent with the rest of the western U.S. This highlights the need for region-specific records to inform predictions of the hydrologic impact of climate change on arid regions.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2021.106936","usgsCitation":"Hudson, A.M., Emery-Wetherell, M.M., Lubinski, P.M., Butler, V.L., Grimstead, D.N., and Jenkins, D.L., 2021, Reconstructing paleohydrology in the northwest Great Basin since the last deglaciation using Paisley Caves fish remains (Oregon, U.S.A.): Quaternary Science Reviews, v. 262, 106936, 22 p., https://doi.org/10.1016/j.quascirev.2021.106936.","productDescription":"106936, 22 p.","ipdsId":"IP-124182","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":436353,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97P56SK","text":"USGS data release","linkHelpText":"Data Release for Reconstructing paleohydrology in the northwest Great Basin since the last deglaciation using Paisley Caves fish remains (Oregon, U.S.A.)"},{"id":385896,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Paisley Caves","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.83038330078125,\n 42.53891577257117\n ],\n [\n -120.1080322265625,\n 42.50247797334869\n ],\n [\n -120.07095336914061,\n 42.95039177450287\n ],\n [\n -120.89355468749999,\n 42.984558134256076\n ],\n [\n -120.83038330078125,\n 42.53891577257117\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"262","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hudson, Adam M. 0000-0002-3387-9838 ahudson@usgs.gov","orcid":"https://orcid.org/0000-0002-3387-9838","contributorId":195419,"corporation":false,"usgs":true,"family":"Hudson","given":"Adam","email":"ahudson@usgs.gov","middleInitial":"M.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":816312,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Emery-Wetherell, Meaghan M 0000-0001-5627-2572","orcid":"https://orcid.org/0000-0001-5627-2572","contributorId":258273,"corporation":false,"usgs":false,"family":"Emery-Wetherell","given":"Meaghan","email":"","middleInitial":"M","affiliations":[{"id":52267,"text":"Museum of the Rockies, Montana State University, Bozeman, Montana, USA","active":true,"usgs":false}],"preferred":false,"id":816313,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lubinski, Patrick M 0000-0001-7159-8239","orcid":"https://orcid.org/0000-0001-7159-8239","contributorId":258274,"corporation":false,"usgs":false,"family":"Lubinski","given":"Patrick","email":"","middleInitial":"M","affiliations":[{"id":52268,"text":"Department of Anthropology & Museum Studies, Central Washington University, Ellensburg, Washington, USA","active":true,"usgs":false}],"preferred":false,"id":816314,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Butler, Virginia L.","contributorId":140762,"corporation":false,"usgs":false,"family":"Butler","given":"Virginia","email":"","middleInitial":"L.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":816315,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grimstead, Deanna N","contributorId":190197,"corporation":false,"usgs":false,"family":"Grimstead","given":"Deanna","email":"","middleInitial":"N","affiliations":[],"preferred":false,"id":816316,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jenkins, Dennis L 0000-0003-0332-3238","orcid":"https://orcid.org/0000-0003-0332-3238","contributorId":258275,"corporation":false,"usgs":false,"family":"Jenkins","given":"Dennis","email":"","middleInitial":"L","affiliations":[{"id":52269,"text":"Museum of Natural and Cultural History, University of Oregon, Eugene, Oregon, USA","active":true,"usgs":false}],"preferred":false,"id":816317,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70221107,"text":"70221107 - 2021 - Establishment and survival of subalpine fir (Abies lasiocarpa) in meadows of Olympic National Park, Washington","interactions":[],"lastModifiedDate":"2021-06-02T12:33:22.297629","indexId":"70221107","displayToPublicDate":"2021-05-21T07:29:51","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2900,"text":"Northwest Science","onlineIssn":"2161-9859","printIssn":"0029-344X","active":true,"publicationSubtype":{"id":10}},"title":"Establishment and survival of subalpine fir (Abies lasiocarpa) in meadows of Olympic National Park, Washington","docAbstract":"

Establishment of trees in subalpine meadows is a potential indicator of ecological effects of climate change. Tree establishment is a multi-year process including cone and seed production, germination, establishment, and growth, with each demographic step possibly sensitive to different climate limitations. While most studies have focused on one or a few steps, this study follows a cohort of individually marked saplings for 27 years beginning as seeds in two meadows on Hurricane Ridge, Olympic National Park. These meadows are examples of a south-facing tall sedge community type rather than the north-facing heath-shrub type where establishment has usually been observed. Results showed that mortality was high for the first few years, but number of saplings stabilized after the first decade. Seedling mortality during germination and establishment was directly related to weather that resulted in high air and soil temperatures and drought, while mortality of established saplings was indirectly related to weather through effects on growth. Growth was enhanced by longer growing season and warmer minimum temperatures; growth over three years and sapling height were predictive of mortality. Most sapling survival occurred in lichen (primarily Trapeliopsis granulosa) and Vaccinium deliciosum plant communities. Many saplings are growing at very low rates compared with the rate predicted from adult trees. It is also apparent that while microsite within meadow (e.g., relative snow depth) is important in determining sapling success, the landscape position of meadows (e.g., north versus south aspect) exerts a higher-level control over whether a subalpine meadow is likely to disappear with warming climate.

","language":"English","publisher":"BioOne","doi":"10.3955/046.094.0304","usgsCitation":"Woodward, A., and Soll, J.A., 2021, Establishment and survival of subalpine fir (Abies lasiocarpa) in meadows of Olympic National Park, Washington: Northwest Science, v. 94, no. 3-4, p. 256-270, https://doi.org/10.3955/046.094.0304.","productDescription":"15 p.","startPage":"256","endPage":"270","ipdsId":"IP-107735","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":386116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Olympic National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.49707031249999,\n 47.212105775622426\n ],\n [\n -122.81616210937499,\n 47.212105775622426\n ],\n [\n -122.81616210937499,\n 48.21735290928554\n ],\n [\n -124.49707031249999,\n 48.21735290928554\n ],\n [\n -124.49707031249999,\n 47.212105775622426\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"94","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Woodward, Andrea 0000-0003-0604-9115 awoodward@usgs.gov","orcid":"https://orcid.org/0000-0003-0604-9115","contributorId":3028,"corporation":false,"usgs":true,"family":"Woodward","given":"Andrea","email":"awoodward@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":816782,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soll, Jonathan A.","contributorId":259195,"corporation":false,"usgs":false,"family":"Soll","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[{"id":52329,"text":"Portland Metro Regional Government, 600 N.E. Grand Avenue, Portland, OR","active":true,"usgs":false}],"preferred":false,"id":816783,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70224334,"text":"70224334 - 2021 - Robust projections of future fire probability for the conterminous United States","interactions":[],"lastModifiedDate":"2021-09-23T12:28:04.656418","indexId":"70224334","displayToPublicDate":"2021-05-21T07:25:42","publicationYear":"2021","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":"Robust projections of future fire probability for the conterminous United States","docAbstract":"

Globally increasing wildfires have been attributed to anthropogenic climate change. However, providing decision makers with a clear understanding of how future planetary warming could affect fire regimes is complicated by confounding land use factors that influence wildfire and by uncertainty associated with model simulations of climate change. We use an ensemble of statistically downscaled Global Climate Models in combination with the Physical Chemistry Fire Frequency Model (PC2FM) to project changing potential fire probabilities in the conterminous United States for two scenarios representing lower (RCP 4.5) and higher (RCP 8.5) greenhouse gas emission futures. PC2FM is a physically-based and scale-independent model that predicts mean fire return intervals from both fire reactant and reaction variables, which are largely dependent on a locale's climate. Our results overwhelmingly depict increasing potential fire probabilities across the conterminous US for both climate scenarios. The primary mechanism for the projected increases is rising temperatures, reflecting changes in the chemical reaction environment commensurate with enhanced photosynthetic rates and available thermal molecular energy. Existing high risk areas, such as the Cascade Range and the Coastal California Mountains, are projected to experience greater annual fire occurrence probabilities, with relative increases of 122% and 67%, respectively, under RCP 8.5 compared to increases of 63% and 38% under RCP 4.5. Regions not currently associated with frequently occurring wildfires, such as New England and the Great Lakes, are projected to experience a doubling of occurrence probabilities by 2100 under RCP 8.5. This high resolution, continental-scale modeling study of climate change impacts on potential fire probability accounts for shifting background environmental conditions across regions that will interact with topographic drivers to significantly alter future fire probabilities. The ensemble modeling approach presents a useful planning tool for mitigation and adaptation strategies in regions of increasing wildfire risk.


","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2021.147872","usgsCitation":"Gao, P., Terando, A., Kupfer, J., Varner, J., Stambaugh, M.C., Lei, T.L., and Hiers, J.K., 2021, Robust projections of future fire probability for the conterminous United States: Science of the Total Environment, v. 789, 147872, 13 p., https://doi.org/10.1016/j.scitotenv.2021.147872.","productDescription":"147872, 13 p.","ipdsId":"IP-126842","costCenters":[{"id":40926,"text":"Southeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":452181,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2021.147872","text":"Publisher Index Page"},{"id":389641,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"geometry\": {\n 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0000-0002-9280-043X","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":216875,"corporation":false,"usgs":true,"family":"Terando","given":"Adam J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":823788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kupfer, John A","contributorId":224730,"corporation":false,"usgs":false,"family":"Kupfer","given":"John A","affiliations":[{"id":37804,"text":"University of South Carolina","active":true,"usgs":false}],"preferred":false,"id":823790,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Varner, J. Morgan","contributorId":265933,"corporation":false,"usgs":false,"family":"Varner","given":"J. Morgan","affiliations":[{"id":36874,"text":"Tall Timbers Research Station","active":true,"usgs":false}],"preferred":false,"id":823791,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stambaugh, Michael C.","contributorId":202826,"corporation":false,"usgs":false,"family":"Stambaugh","given":"Michael","email":"","middleInitial":"C.","affiliations":[{"id":13706,"text":"University of Missouri-Columbia","active":true,"usgs":false}],"preferred":false,"id":823792,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lei, Ting L","contributorId":265934,"corporation":false,"usgs":false,"family":"Lei","given":"Ting","email":"","middleInitial":"L","affiliations":[{"id":6773,"text":"University of Kansas","active":true,"usgs":false}],"preferred":false,"id":823793,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hiers, J. Kevin","contributorId":224733,"corporation":false,"usgs":false,"family":"Hiers","given":"J.","email":"","middleInitial":"Kevin","affiliations":[{"id":36874,"text":"Tall Timbers Research Station","active":true,"usgs":false}],"preferred":false,"id":823789,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70241866,"text":"70241866 - 2021 - A small proportion of breeders drive American bullfrog invasion of the Yellowstone River floodplain, Montana","interactions":[],"lastModifiedDate":"2023-03-29T12:19:19.642504","indexId":"70241866","displayToPublicDate":"2021-05-21T07:16:32","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2900,"text":"Northwest Science","onlineIssn":"2161-9859","printIssn":"0029-344X","active":true,"publicationSubtype":{"id":10}},"title":"A small proportion of breeders drive American bullfrog invasion of the Yellowstone River floodplain, Montana","docAbstract":"

The American bullfrog (Lithobates catesbeianus) is a non-native invader of aquatic habitats across the northwestern United States. It recently invaded the Yellowstone River, Montana, and has spread to over 140 km of floodplain habitat. We analyzed seven microsatellites in 528 tadpoles sampled across nearly the entire Yellowstone River invasion (about 140 river km) to characterize invasion genetics, compare our results with those of a recent mtDNA study (Kamath et al. 2016), and to inform control efforts. Microsatellite variation supports the mtDNA-based hypothesis of at least two independent introductions to the floodplain from genetically divergent populations in the midwestern United States, followed by massive range expansion. One introduction is associated with the upstream extent of the invasion near Park City, Montana and the other more broadly with downstream populations. All sites were characterized by small effective numbers of breeders (Nb; harmonic mean = 9.97), and therefore, a small proportion of highly successful adults may drive the invasion by producing large families. Microsatellites and mtDNA produced discordant estimates of genetic admixture between the upstream and downstream invasions, which may reflect small effective population size. Although we observed isolation by distance using both types of markers, microsatellites appear to reflect population structure resulting from secondary contact between the two introductions, as opposed to structure resulting from equilibrium between gene flow and genetic drift. Most sites showed evidence for genetic bottlenecks, which supports the recent history of invasion. Small Nb paired with known high localized extinction rates following colonization suggests focused removal of post metamorphic life stages at sites less likely to go extinct on their own could help limit invasion by bullfrogs.

","language":"English","publisher":"Northwest Scientific Association","doi":"10.3955/046.094.0302","usgsCitation":"Bingham, D.M., Sepulveda, A., and Painter, S., 2021, A small proportion of breeders drive American bullfrog invasion of the Yellowstone River floodplain, Montana: Northwest Science, v. 94, no. 3-4, p. 231-242, https://doi.org/10.3955/046.094.0302.","productDescription":"12 p.","startPage":"231","endPage":"242","ipdsId":"IP-106356","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":436354,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9N9JKSU","text":"USGS data release","linkHelpText":"Microsatellite data for American bullfrogs in the Yellowstone River Montana, 2013-2017"},{"id":414887,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Yellowstone River Floodplain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -109.55038405118447,\n 45.400665563434984\n ],\n [\n -106.50847966624133,\n 45.400665563434984\n ],\n [\n -106.50847966624133,\n 46.4925363205721\n ],\n [\n -109.55038405118447,\n 46.4925363205721\n ],\n [\n -109.55038405118447,\n 45.400665563434984\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"94","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bingham, Daniel M.","contributorId":303754,"corporation":false,"usgs":false,"family":"Bingham","given":"Daniel","email":"","middleInitial":"M.","affiliations":[{"id":65023,"text":"Cramer Fish Sciences","active":true,"usgs":false}],"preferred":false,"id":868010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sepulveda, Adam 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":4187,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":868011,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Painter, Sally","contributorId":303756,"corporation":false,"usgs":false,"family":"Painter","given":"Sally","affiliations":[{"id":65901,"text":"3The University of Montana Conservation Genetics Laboratory","active":true,"usgs":false}],"preferred":false,"id":868012,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70220480,"text":"sir20205133 - 2021 - Sediment budget for watersheds of West Maui, Hawaii","interactions":[],"lastModifiedDate":"2021-05-21T15:15:51.254453","indexId":"sir20205133","displayToPublicDate":"2021-05-21T07:16:09","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5133","displayTitle":"Sediment Budget for Watersheds of West Maui, Hawaii","title":"Sediment budget for watersheds of West Maui, Hawaii","docAbstract":"

Episodic runoff brings suspended sediment to West Maui’s nearshore waters, turning them from blue to brown. This pollution degrades the ecological, cultural, and recreational value of these iconic nearshore waters. We used mapping, monitoring, and modeling to identify and quantify the watershed sources for fine sediment that pollutes the nearshore each year. These results focus strategies to reduce pollution on the outstanding sources for this sediment.

Terrestrial runoff causing coastal plumes now occurs when two or more hours of rain falls at rates greater than 10–20 millimeter (mm) per hour in source watersheds. Analysis of recent and historical rainfall indicates that West Maui communities can expect rainfalls to bring coastal plumes at least 3–5 times per year. Former agricultural fields and some unimproved roads are possible sources for the fine sediment of these plumes. We found, however, that these obvious sources do not produce plumes during small annual storms, because they drain water at rates that far exceed most annual rainfalls and because there is no evidence for runoff from rains that caused recent plumes. Streambanks now eroding into historic fill terraces of sands, silts, and clays are a more plausible source. These terraces are found only downstream of historical agricultural fields and are composed of silt and fine sand. Surveys show that the fill terraces occupy ~40 percent of streambank length, making them extensive. During 2015–2016, these deposits eroded at median rates of 5–24 mm per year. Summed over West Maui’s watersheds, these rates imply sediment loads carried to the coast that can be ten times or more than modeled pre-human values. A sediment budget indicates that bank erosion of fill terraces from a few watersheds likely dominates the current annual fine-sediment load to the nearshore, with Kahana Stream watershed producing the largest annual input of 285 metric tons, the equivalent of 29 dump-truck loads every year.

Although past large storms have contributed to sediment loading, annual plume generation is now caused by smaller rainfalls eroding these near-stream terrace deposits, a legacy of historic agriculture. Treatments of former agricultural fields, roads, and reserve forests are consequently not likely to measurably effect sediment pollution from smaller, more frequent storms. Increased runoff from residential and commercial development of West Maui has the potential to exacerbate sediment plumes from such storms.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205133","usgsCitation":"Stock, J.D., and Cerovski-Darriau, Corina, 2021, Sediment budget for watersheds of West Maui, Hawaii: U.S. Geological Survey Scientific Investigations Report 2020–5133, 61 p., 1 plate, scale 1:25,000, https://doi.org/10.3133/sir20205133.","productDescription":"Report: xi, 61 p.; 1 Plate: 28.50 x 30 inches","numberOfPages":"61","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-105315","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":385647,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5133/covrthb.jpg"},{"id":385648,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5133/sir20205133.pdf","text":"Report","size":"25 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":385649,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2020/5133/sir20205133_plate.pdf","text":"Plate","size":"17 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Hawaii","otherGeospatial":"West Maui","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.75018310546875,\n 20.776659051878816\n ],\n [\n -156.5496826171875,\n 20.776659051878816\n ],\n [\n -156.5496826171875,\n 21.022982546427425\n ],\n [\n -156.75018310546875,\n 21.022982546427425\n ],\n [\n -156.75018310546875,\n 20.776659051878816\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director,
Geology, Minerals, Energy, & Geophysics Science Center
Menlo Park, California
U.S. Geological Survey
345 Middlefield Road
Menlo Park, CA 94025-3591

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2021-05-21","noUsgsAuthors":false,"publicationDate":"2021-05-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Stock, Jonathan D. 0000-0001-8565-3577 jstock@usgs.gov","orcid":"https://orcid.org/0000-0001-8565-3577","contributorId":3648,"corporation":false,"usgs":true,"family":"Stock","given":"Jonathan","email":"jstock@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":815693,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cerovski-Darriau, Corina 0000-0002-0543-0902","orcid":"https://orcid.org/0000-0002-0543-0902","contributorId":221159,"corporation":false,"usgs":true,"family":"Cerovski-Darriau","given":"Corina","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":815694,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70221495,"text":"70221495 - 2021 - Sources of volcanic tremor associated with the summit caldera collapse during the 2018 east rift eruption of Kīlauea Volcano, Hawai'i","interactions":[],"lastModifiedDate":"2021-06-21T11:42:17.813341","indexId":"70221495","displayToPublicDate":"2021-05-21T06:50:21","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7167,"text":"Journal of Geophysical Research: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Sources of volcanic tremor associated with the summit caldera collapse during the 2018 east rift eruption of Kīlauea Volcano, Hawai'i","docAbstract":"

Volcanic tremor occurring at the beginning of the 2018 Kīlauea eruption is characterized using both seismic and tilt data recorded at the Kīlauea summit. An automatic seismic network-based approach detects several types of tremor including (a) 0.5–1 Hz long-period tremor preceding the eruption, located at the south-southwest edge of Halema'uma'u Crater and attributed to the quasi-steady radiation from a shallow hydrothermal system and (b) two sequences of gliding tremor at the beginning of the eruption, both with locations on the edges of the crater and within it. The first sequence is attributed to two swarms of low-amplitude regularly repeating earthquakes induced by the jerky motions of a cylindrical rock piston with radius of 325 m, height of 250 m, and mass of 2.07 × 1011 kg, progressively intruding 12.3 m into the shallow hydrothermal system with volume of 108 m3 and depth extent of 300 m. The second sequence is attributed to a gradual evolution in the properties of a bubbly magma within an east-striking dike below Halema'uma'u Crater, impacted by repeated roof collapses. A fluid-filled crack model points to a decrease in gas volume fraction from 4.22% to 1.6 × 10−2% in the magma filling the dike, and a model of gas retro-diffusion within the melt suggests a two orders of magnitude decrease in bubble number density from 7 × 108 m−3 down to 4 × 106 m−3. Both models feature a quasi to totally degassed magma by May 26.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020JB021572","usgsCitation":"Soubestre, J., Chouet, B., and Dawson, P.B., 2021, Sources of volcanic tremor associated with the summit caldera collapse during the 2018 east rift eruption of Kīlauea Volcano, Hawai'i: Journal of Geophysical Research: Solid Earth, v. 126, no. 6, e2020JB021572, 33 p., https://doi.org/10.1029/2020JB021572.","productDescription":"e2020JB021572, 33 p.","ipdsId":"IP-125499","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":386584,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.35423278808594,\n 19.20288950660437\n ],\n [\n -155.00885009765625,\n 19.20288950660437\n ],\n [\n -155.00885009765625,\n 19.480186937661344\n ],\n [\n -155.35423278808594,\n 19.480186937661344\n ],\n [\n -155.35423278808594,\n 19.20288950660437\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"126","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Soubestre, J. 0000-0002-9403-8821","orcid":"https://orcid.org/0000-0002-9403-8821","contributorId":260399,"corporation":false,"usgs":false,"family":"Soubestre","given":"J.","email":"","affiliations":[{"id":52584,"text":"Instituto Volcanologico de Canarias (INVOLCAN)","active":true,"usgs":false}],"preferred":false,"id":817860,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chouet, B. 0000-0001-5527-0532","orcid":"https://orcid.org/0000-0001-5527-0532","contributorId":260400,"corporation":false,"usgs":false,"family":"Chouet","given":"B.","affiliations":[{"id":52585,"text":"Retired (USGS)","active":true,"usgs":false}],"preferred":false,"id":817861,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dawson, Phillip B. 0000-0003-4065-0588 dawson@usgs.gov","orcid":"https://orcid.org/0000-0003-4065-0588","contributorId":206751,"corporation":false,"usgs":true,"family":"Dawson","given":"Phillip","email":"dawson@usgs.gov","middleInitial":"B.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":817862,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70221598,"text":"70221598 - 2021 - Repeated large-scale mechanical treatment of invasive Typha under increasing water levels promotes floating mat formation and wetland methane emissions","interactions":[],"lastModifiedDate":"2021-06-28T11:59:59.843342","indexId":"70221598","displayToPublicDate":"2021-05-21T06:48:54","publicationYear":"2021","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}},"displayTitle":"Repeated large-scale mechanical treatment of invasive Typha under increasing water levels promotes floating mat formation and wetland methane emissions","title":"Repeated large-scale mechanical treatment of invasive Typha under increasing water levels promotes floating mat formation and wetland methane emissions","docAbstract":"

Invasive species management typically aims to promote diversity and wildlife habitat, but little is known about how management techniques affect wetland carbon (C) dynamics. Since wetland C uptake is largely influenced by water levels and highly productive plants, the interplay of hydrologic extremes and invasive species is fundamental to understanding and managing these ecosystems. During a period of rapid water level rise in the Laurentian Great Lakes, we tested how mechanical treatment of invasive plant Typha × glauca shifts plant-mediated wetland C metrics. From 2015 to 2017, we implemented large-scale treatment plots (0.36-ha) of harvest (i.e., cut above water surface, removed biomass twice a season), crush (i.e., ran over biomass once mid-season with a tracked vehicle), and Typha-dominated controls. Treated Typha regrew with approximately half as much biomass as unmanipulated controls each year, and Typha production in control stands increased from 500 to 1500 g-dry mass m−2 yr−1 with rising water levels (~10 to 75 cm) across five years. Harvested stands had total in-situ methane (CH4) flux rates twice as high as in controls, and this increase was likely via transport through cut stems because crushing did not change total CH4 flux. In 2018, one year after final treatment implementation, crushed stands had greater surface water diffusive CH4 flux rates than controls (measured using dissolved gas in water), likely due to anaerobic decomposition of flattened biomass. Legacy effects of treatments were evident in 2019; floating Typha mats were present only in harvested and crushed stands, with higher frequency in deeper water and a positive correlation with surface water diffusive CH4 flux. Our study demonstrates that two mechanical treatments have differential effects on Typha structure and consequent wetland CH4 emissions, suggesting that C-based responses and multi-year monitoring in variable water conditions are necessary to accurately assess how management impacts ecological function.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2021.147920","usgsCitation":"Johnson, O.F., Panda, A., Lishawa, S., and Lawrence, B.A., 2021, Repeated large-scale mechanical treatment of invasive Typha under increasing water levels promotes floating mat formation and wetland methane emissions: Science of the Total Environment, v. 790, 147920, 10 p., https://doi.org/10.1016/j.scitotenv.2021.147920.","productDescription":"147920, 10 p.","ipdsId":"IP-124761","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":452187,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2021.147920","text":"Publisher Index Page"},{"id":386726,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Northern Upper Peninsula","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.1220703125,\n 45.058001435398275\n ],\n [\n -84.19921875,\n 45.058001435398275\n ],\n [\n -84.19921875,\n 45.85941212790755\n ],\n [\n -85.1220703125,\n 45.85941212790755\n ],\n [\n -85.1220703125,\n 45.058001435398275\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"790","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Olivia Fayne 0000-0002-6839-6617","orcid":"https://orcid.org/0000-0002-6839-6617","contributorId":223859,"corporation":false,"usgs":true,"family":"Johnson","given":"Olivia","email":"","middleInitial":"Fayne","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":818247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Panda, Abha","contributorId":260635,"corporation":false,"usgs":false,"family":"Panda","given":"Abha","email":"","affiliations":[{"id":39062,"text":"School for Environment and Sustainability, University of Michigan","active":true,"usgs":false}],"preferred":false,"id":818248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lishawa, Shane C.","contributorId":260636,"corporation":false,"usgs":false,"family":"Lishawa","given":"Shane C.","affiliations":[{"id":52628,"text":"School of Environmental Sustainability, Loyola University","active":true,"usgs":false}],"preferred":false,"id":818249,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lawrence, Beth A.","contributorId":217552,"corporation":false,"usgs":false,"family":"Lawrence","given":"Beth","email":"","middleInitial":"A.","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":818250,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70221575,"text":"70221575 - 2021 - Willow drives changes in arthropod communities of northwestern Alaska: Ecological implications of shrub expansion","interactions":[],"lastModifiedDate":"2021-07-02T15:20:14.733385","indexId":"70221575","displayToPublicDate":"2021-05-21T06:37:17","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Willow drives changes in arthropod communities of northwestern Alaska: Ecological implications of shrub expansion","docAbstract":"

Arthropods serve as complex linkages between plants and higher-level predators in Arctic ecosystems and provide key ecosystem services such as pollination and nutrient cycling. Arctic plant communities are changing as tall woody shrubs expand onto tundra, but potential effects on arthropod abundance and food web structure remain unclear. Changes in vegetation structure can alter the physical habitat, thermal environment, and food available to arthropods, thereby having the potential to induce cascading effects throughout the ecosystem. We evaluated relationships between the abundance, biomass, and community composition of arthropods and the cover of several shrub taxa across tundra–shrub gradients in northwestern Alaska. While previous research had found a general positive association between arthropod biomass and shrub cover, we found heterogeneity in this relationship with finer-scale examination of (1) shrub taxa, (2) arthropod taxa, and (3) arthropod guilds. Abundance and biomass of arthropods showed strong, positive associations with the amount of cover of willow (Salix spp.) but were not significantly influenced by shrub birch (Betula spp.) or ericaceous (Ericaceae) vegetation. Significant shifts in arthropod community composition were also associated with willows. Among trophic groups of arthropods, herbivores and pollinators were most positively associated with willow cover. Due to geographical variation in both dominant shrub taxa and their rates of expansion, effects on arthropod communities are likely to be heterogeneous across the Arctic. Taken together, our results suggest that shrub expansion could increase food availability for higher-level insectivores and shift Arctic food web structure.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.3514","usgsCitation":"Mcdermott, M., Doak, P., Handel, C.M., Breed, G.A., and Mulder, C., 2021, Willow drives changes in arthropod communities of northwestern Alaska: Ecological implications of shrub expansion: Ecosphere, v. 12, no. 5, e03514, 17 p., https://doi.org/10.1002/ecs2.3514.","productDescription":"e03514, 17 p.","ipdsId":"IP-109875","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":452190,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3514","text":"Publisher Index Page"},{"id":436355,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ADMBLN","text":"USGS data release","linkHelpText":"Arthropod Abundance and Shrub Cover and Height on the Seward Peninsula, Alaska, 2015-2016"},{"id":386668,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -168.48632812499997,\n 64.37794095121998\n ],\n [\n -160.048828125,\n 64.37794095121998\n ],\n [\n -160.048828125,\n 66.56574650920788\n ],\n [\n -168.48632812499997,\n 66.56574650920788\n ],\n [\n -168.48632812499997,\n 64.37794095121998\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"5","noUsgsAuthors":false,"publicationDate":"2021-05-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Mcdermott, Molly 0000-0002-0000-0831 mmcdermott@usgs.gov","orcid":"https://orcid.org/0000-0002-0000-0831","contributorId":181770,"corporation":false,"usgs":true,"family":"Mcdermott","given":"Molly","email":"mmcdermott@usgs.gov","affiliations":[],"preferred":true,"id":818141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doak, Patricia","contributorId":260530,"corporation":false,"usgs":false,"family":"Doak","given":"Patricia","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":818142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":818143,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Breed, Greg A.","contributorId":181943,"corporation":false,"usgs":false,"family":"Breed","given":"Greg","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":818144,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mulder, Christa","contributorId":260531,"corporation":false,"usgs":false,"family":"Mulder","given":"Christa","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":818145,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70220582,"text":"ofr20201147 - 2021 - GIS-based identification of areas that have resource potential for sediment-hosted Pb-Zn deposits in Alaska","interactions":[],"lastModifiedDate":"2021-05-21T14:58:21.181526","indexId":"ofr20201147","displayToPublicDate":"2021-05-20T18:00:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1147","displayTitle":"GIS-Based Identification of Areas that have Resource Potential for Sediment-hosted Pb-Zn deposits in Alaska","title":"GIS-based identification of areas that have resource potential for sediment-hosted Pb-Zn deposits in Alaska","docAbstract":"

A state-wide Geographic Information System analysis was conducted to assess prospectivity for lead (Pb) and zinc (Zn) in sediment-hosted deposits in Alaska. The datasets that were utilized include publicly available geospatial datasets of lithologic, geochemical, and mineral occurrence data. Key characteristics of Pb-Zn deposits were identified in available datasets and scored with respect to relative importance. To evaluate resource potential, drainage basins of the smallest size were chosen, each of which covers approximately 100 square kilometers (km2). Drainage basins are the most logical and efficient unit for evaluation because the most regionally robust dataset comes from stream sediment geochemistry.

Sediment-hosted Pb-Zn deposits in Alaska include those contained in carbonate rocks (similar to Mississippi Valley Type or MVT deposits) and those contained in clastic-dominated (CD) sequences (CD Pb-Zn), historically referred to as SEDEX (sedimentary exhalative). The latter include the deposits currently being mined in the Red Dog district in the western Brooks Range. Host rocks for the two subtypes are distinct: carbonate versus fine-grained clastic rocks for CD Pb-Zn deposits. However, there are exceptions: some CD Pb-Zn deposits are hosted in carbonate layers within a thick clastic-dominated rock sequence. The statewide geologic map database contains units that commonly include mixed carbonate-clastic sequences that cannot be subdivided. The most significant difference between the two deposit types is their respective depositional environments and tectonic settings, but at the reconnaissance level of mapping in most areas of the state, these distinctions are not possible. Furthermore, nearly all critical geochemical parameters (silver [Ag], barium [Ba], Pb, Zn) are common to both types, and therefore it was not possible to do separate assessments for carbonate-hosted and CD Pb-Zn deposits.

Areas identified that have moderate to high potential for sediment-hosted Pb-Zn deposits include the (1) western and central Brooks Range, referred to in this report as the Brooks Range zinc belt; (2) Seward Peninsula (and adjacent St. Lawrence Island); (3) Farewell terrane in Interior Alaska; (4) two spatially distinct belts in east-central Alaska; and (5) the central Alaska Range. All areas contain some known deposits, and that provides credibility to the scoring process. Some hydrologic unit codes (HUCs) that have high potential for sediment-hosted Pb-Zn deposits are located adjacent to areas of known deposits and indicate the potential for expansion of known Pb-Zn districts. There are a few areas that have high potential but contain no known sediment hosted Pb-Zn occurrences, prospects, or deposits. In such areas, future investigations could be focused on better defining and constraining prospectivity with additional data.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20201147","usgsCitation":"Kelley, K.D., Graham, G.E., Labay, K.A., and Shew, N.B., 2021, GIS-based identification of areas that have resource potential for sediment-hosted Pb-Zn deposits in Alaska: U.S. Geological Survey Open-File Report 2020−1147, 37 p., 1 app., 2 pls., scale 1:10,500,000, https://doi.org/10.3133/ofr20201147.","productDescription":"Report: v, 37 p.; 2 Plates: 15.41 x 15.11 inches and 15.53 x 15.17 inches; Data Release","onlineOnly":"Y","ipdsId":"IP-105816","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":385779,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1147/coverthb_pamphlet.jpg"},{"id":385780,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1147/ofr20201147_pamphlet.pdf","text":"Report","size":"2.27 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1147 pamphlet"},{"id":385781,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2020/1147/ofr20201147_plate1.pdf","text":"Plate 1—","size":"8.87 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1147 Plate 1","linkHelpText":"Estimated Resource Potential and Certainty for Sediment-Hosted Pb-Zn Deposits"},{"id":385782,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2020/1147/ofr20201147_plate2.pdf","text":"Plate 2—","size":"7.39 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1147 Plate 2","linkHelpText":"Permissive Rock Types and Known Sediment-Hosted Pb-Zn Deposits"},{"id":385783,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P943BUQZ","text":"USGS data release","linkHelpText":"Data and results for GIS-based identification of areas that have resource potential for sediment-hosted Pb-Zn deposits in Alaska"},{"id":385784,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://dx.doi.org/10.3133/ofr20161191","text":"USGS Open-File Report 2016-1191—","linkHelpText":"GIS-based identification of areas that have resource potential for critical minerals in six selected groups of deposit types in Alaska"}],"country":"United 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Director, Geology, Geophysics, and Geochemistry Science Center
U.S. Geological Survey
MS 973, Box 25046
Denver, CO 80225

","tableOfContents":"","publishedDate":"2021-05-20","noUsgsAuthors":false,"publicationDate":"2021-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Kelley, Karen D. 0000-0002-3232-5809 kdkelley@usgs.gov","orcid":"https://orcid.org/0000-0002-3232-5809","contributorId":179012,"corporation":false,"usgs":true,"family":"Kelley","given":"Karen","email":"kdkelley@usgs.gov","middleInitial":"D.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":816084,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graham, Garth E. 0000-0003-0657-0365 ggraham@usgs.gov","orcid":"https://orcid.org/0000-0003-0657-0365","contributorId":1031,"corporation":false,"usgs":true,"family":"Graham","given":"Garth","email":"ggraham@usgs.gov","middleInitial":"E.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":816085,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Labay, Keith A. 0000-0002-6763-3190 klabay@usgs.gov","orcid":"https://orcid.org/0000-0002-6763-3190","contributorId":217714,"corporation":false,"usgs":true,"family":"Labay","given":"Keith","email":"klabay@usgs.gov","middleInitial":"A.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":816086,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shew, Nora B. 0000-0003-0025-7220 nshew@usgs.gov","orcid":"https://orcid.org/0000-0003-0025-7220","contributorId":3382,"corporation":false,"usgs":true,"family":"Shew","given":"Nora","email":"nshew@usgs.gov","middleInitial":"B.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":816087,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70228361,"text":"70228361 - 2021 - Modeling effects of disturbance across life history strategies of stream fishes","interactions":[],"lastModifiedDate":"2022-02-09T17:16:52.980052","indexId":"70228361","displayToPublicDate":"2021-05-20T11:11:12","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Modeling effects of disturbance across life history strategies of stream fishes","docAbstract":"A central goal of population ecology is to establish linkages between life history strategy, disturbance, and population dynamics. Globally, disturbance events such as drought and invasive species have dramatically impacted stream fish populations and contributed to sharp declines in freshwater biodiversity. Here, we used RAMAS-Metapop to construct stage-based demographic metapopulation models for stream fishes with periodic, opportunistic, and equilibrium life history strategies and assessed their responses to disturbance scenarios that approximated the effects of invasion, drought, and the additive effects of both disturbances. Our models indicated that populations respond differentially to disturbance based on life history strategy. Equilibrium strategists were best able to deal with simulated invasion. Periodic strategists did well under lower levels of drought, whereas opportunistic strategists outperformed other life histories under extreme seasonal drought. When we modeled additive effects scenarios, these disturbances interacted synergistically, dramatically increasing terminal extinction risk for all three life history strategies. Modeling exercises that examine broad life history categories can help to answer fundamental ecological questions about the relationship between disturbance resilience and life history, as well as help managers to develop generalized conservation strategies when species-specific data are lacking. Our results indicate that life history strategy is a fundamental determinant of population trajectories, and that disturbances can interact synergistically to dramatically impact extinction outcomes.","language":"English","publisher":"Springer","doi":"10.1007/s00442-021-04941-8","usgsCitation":"Fournier, R.J., Bond, N.R., and Magoulick, D.D., 2021, Modeling effects of disturbance across life history strategies of stream fishes: Oecologia, v. 196, p. 413-425, https://doi.org/10.1007/s00442-021-04941-8.","productDescription":"13 p.","startPage":"413","endPage":"425","ipdsId":"IP-111010","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395688,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"196","noUsgsAuthors":false,"publicationDate":"2021-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Fournier, Robert J.","contributorId":244358,"corporation":false,"usgs":false,"family":"Fournier","given":"Robert","email":"","middleInitial":"J.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":833949,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bond, Nick R.","contributorId":275297,"corporation":false,"usgs":false,"family":"Bond","given":"Nick","email":"","middleInitial":"R.","affiliations":[{"id":24850,"text":"La Trobe university","active":true,"usgs":false}],"preferred":false,"id":833950,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":833951,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70230774,"text":"70230774 - 2021 - Stress controls rupture extent and maximum magnitude of induced earthquakes","interactions":[],"lastModifiedDate":"2022-04-26T15:28:05.269094","indexId":"70230774","displayToPublicDate":"2021-05-20T10:24:54","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Stress controls rupture extent and maximum magnitude of induced earthquakes","docAbstract":"

Seismic hazard forecasts of induced seismicity often require estimates of the maximum possible magnitude (Mmax). Empirical models suggest that maximum magnitudes, or expected number of earthquakes, are related to the volume of injected fluid. We perform a suite of 3D physics-based earthquake simulations with rate- and state-dependent friction, systematically varying the area of the pressurized region and the amplitude of the initial homogeneous or heterogeneous shear stress. Using the resulting catalog we explore the conditions that result in pressure-controlled versus runaway ruptures that extend outside the pressurized zone. We find that proposed empirical scaling laws correctly predict Mmax when shear stresses are further from failure (≤90% of maximum shear stress) and for high amplitude stress fields. Runaway ruptures are observed for higher initial shear stresses and smoother stress fields. In these cases, runaway ruptures occur early after the onset of injection and rarely preceded by foreshock activity.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020GL092148","usgsCitation":"Kroll, K.A., and Cochran, E.S., 2021, Stress controls rupture extent and maximum magnitude of induced earthquakes: Geophysical Research Letters, v. 48, no. 11, e2020GL092148, 10 p., https://doi.org/10.1029/2020GL092148.","productDescription":"e2020GL092148, 10 p.","ipdsId":"IP-127145","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":452195,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1785427","text":"Publisher Index Page"},{"id":399673,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kroll, K. A.","contributorId":290588,"corporation":false,"usgs":false,"family":"Kroll","given":"K.","email":"","middleInitial":"A.","affiliations":[{"id":16721,"text":"LLNL","active":true,"usgs":false}],"preferred":false,"id":841341,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":841342,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70269376,"text":"70269376 - 2021 - An empirically based simulation model to inform flow management for endangered species conservation","interactions":[],"lastModifiedDate":"2025-07-21T14:36:27.500642","indexId":"70269376","displayToPublicDate":"2021-05-20T09:33:02","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"An empirically based simulation model to inform flow management for endangered species conservation","docAbstract":"

Increasing water demand, water development, and ongoing climate change have driven extensive changes to the hydrology, geomorphology and biology of arid-land rivers globally, driving an increasing need to understand how annual hydrologic conditions affect the distribution and abundance of imperiled desert fish populations. We analyzed the relationship between annual hydrologic conditions and the endangered Rio Grande silvery minnow (Hybognathus amarus) in the Middle Rio Grande, New Mexico, USA, using hurdle models to predict both presence and density as a function of integrated annual hydrologic metrics. Both presence and density were positively related to spring high flow magnitude and duration and negatively related to summer drying, as indicated by an integrated flow metric. Simulations suggest hydrologic conditions near the wettest observed in the data set would be required to meet recovery goals in a single year in all reaches. We demonstrate how the models developed herein can be used to examine alternative water management strategies, including strategies that may currently be socially and logistically infeasible to implement, to identify strategies minimizing trade-offs between conservation and other management goals.

","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2020-0353","usgsCitation":"Walsworth, T., and Budy, P., 2021, An empirically based simulation model to inform flow management for endangered species conservation: Canadian Journal of Fisheries and Aquatic Sciences, v. 78, no. 12, p. 1770-1781, https://doi.org/10.1139/cjfas-2020-0353.","productDescription":"12 p.","startPage":"1770","endPage":"1781","ipdsId":"IP-121942","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":492624,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Middle Rio Grande","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.70549244802783,\n 35.898256634325534\n ],\n [\n -107.7975020546316,\n 35.898256634325534\n ],\n [\n -107.7975020546316,\n 33.04558932070461\n ],\n [\n -105.70549244802783,\n 33.04558932070461\n ],\n [\n -105.70549244802783,\n 35.898256634325534\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"78","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Walsworth, Timothy E.","contributorId":358375,"corporation":false,"usgs":false,"family":"Walsworth","given":"Timothy E.","affiliations":[{"id":28050,"text":"USU","active":true,"usgs":false}],"preferred":false,"id":943609,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Budy, Phaedra E. 0000-0002-9918-1678","orcid":"https://orcid.org/0000-0002-9918-1678","contributorId":228930,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":943608,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70221711,"text":"70221711 - 2021 - Development of soil radiocarbon profiles in a reactive transport framework","interactions":[],"lastModifiedDate":"2021-06-29T13:58:18.394862","indexId":"70221711","displayToPublicDate":"2021-05-20T08:54:38","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Development of soil radiocarbon profiles in a reactive transport framework","docAbstract":"

Today, there is a greater appreciation for the importance of the physical protection of carbon (C) through interactions with mineral surfaces, isolation from microbes, and the important role of transport in shaping soil properties and controlling moisture limitations on decomposition. As our paradigm for soil organic carbon (SOC) preservation changes, so too should our representation of the underlying processes in soil models. Reactive transport models (RTMs) provide a framework capable of assessing the interactive influence of soil chemistry and transport processes on the accumulation and turnover of SOC. In this study, we present new developments in the isotopically enabled RTM “CrunchTope,” which is capable of explicitly tracking the three isotopes of carbon (12C, 13C, and 14C) and their fractionation between multiple coexisting and interacting solid, liquid and gas phases. This modeling framework opens the door to new applications of depth-resolved RTMs models in application to SOC and deeper subsurface carbon reservoirs. Here, we demonstrate SOC accumulation and radiocarbon aging for long-timescale models of soil development in CrunchTope. Our goal is to assess advantages and limitations of such an approach and to identify the type and complexity of reaction networks that are required to adequately apply this model to SOC dynamics. We assess the behavior of this model relative to a high-resolution dataset of SOC content, stable isotope composition, and radiocarbon ages as well as physical and hydrologic data measured from a chronosequence of soils located near Santa Cruz, California. Starting from a previously published model using a simplified reaction network with a single class of carbon, we sequentially incorporate multiple C reservoirs subject to both reactivity and transport pathways. Our results indicate that multiple SOC pools with different mean ages of C do not inherently emerge as a result of including reactions which are conventionally expected to provide a diversity of transit times, i.e., sorption and complexation of SOC on mineral surfaces. Instead, transit times emerge as a result of the timescales of the reactions represented in the reaction network. For mineral associated C, the RTM framework imposes dynamic equilibrium with the fluid phase dissolved organic C, such that no distinction in radiocarbon ages is achieved between these pools. Aged C can be produced by including a solid-phase C reservoir, with a rate-limited solubilization coefficient. Aging of SOC in this way is more akin to selective preservation than to mineral protection and, while such a mechanism may be at play in many soils, mineral protection is thought to be at least as important. As such, our results indicate that additional parameterization is required to reproduce the heterogeneity of carbon transit times that result from organo-mineral interactions. These efforts show the promise of a modeling approach where the varied transit time of soil C emerges from the dynamic physical and hydrologic properties of the model rather than from the a priori assignment of operationally defined pools.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2021.05.021","usgsCitation":"Druhan, J., and Lawrence, C., 2021, Development of soil radiocarbon profiles in a reactive transport framework: Geochimica et Cosmochimica Acta, v. 306, no. 1, p. 63-83, https://doi.org/10.1016/j.gca.2021.05.021.","productDescription":"21 p.","startPage":"63","endPage":"83","ipdsId":"IP-118940","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":452196,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gca.2021.05.021","text":"Publisher Index Page"},{"id":386847,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"306","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Druhan, Jennifer","contributorId":260703,"corporation":false,"usgs":false,"family":"Druhan","given":"Jennifer","affiliations":[{"id":36403,"text":"University of Illinois","active":true,"usgs":false}],"preferred":false,"id":818494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lawrence, Corey 0000-0001-6143-7781","orcid":"https://orcid.org/0000-0001-6143-7781","contributorId":202373,"corporation":false,"usgs":true,"family":"Lawrence","given":"Corey","email":"","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":818495,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70224930,"text":"70224930 - 2021 - Exploring how vessel activity influences the soundscape at a navigation lock on the Mississippi River","interactions":[],"lastModifiedDate":"2021-10-06T12:50:11.405459","indexId":"70224930","displayToPublicDate":"2021-05-20T07:44:41","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Exploring how vessel activity influences the soundscape at a navigation lock on the Mississippi River","docAbstract":"

Vessel sound is now globally recognized as a significant and pervasive pollutant to aquatic life. However, compared to marine environments, there is a paucity of data on sound emitted by vessel activity in freshwater habitats. The Upper Mississippi River (UMR) is home to a diverse array of aquatic life as well as being a key route for barge transportation with 29 locks and dams. In this study, passive acoustic monitoring was conducted at Lock and Dam 19 near Keokuk, Iowa, on the UMR between 20 June – August 28, 2019 to coincide with peak navigation use. There was a significant increase in median sound pressure level (SPL; 50–12,000 Hz) recorded during vessel passages (123 dB re. 1μPa for recreational vessels and 137 dB re. 1μPa for commercial vessels) compared to median background levels (111 dB re. 1μPa). Results provide information on the ambient soundscape at a navigation lock, providing a baseline essential for future studies gauging the effect of anthropogenic sound on aquatic life. Lock 19 has also been identified as a potential site for acoustic deterrent deployment to prevent invasive fish movements. The results of this study can help determine the sound level or frequency deterrents would need to emit, to avoid those currently produced during vessel passage.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2021.112720","usgsCitation":"Putland, R.L., Brey, M.K., and Mensinger, A.F., 2021, Exploring how vessel activity influences the soundscape at a navigation lock on the Mississippi River: Journal of Environmental Management, v. 296, 112720, 9 p., https://doi.org/10.1016/j.jenvman.2021.112720.","productDescription":"112720, 9 p.","ipdsId":"IP-123329","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":390250,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa","otherGeospatial":"Lock and Dam 19","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.40007019042967,\n 40.383166701111\n ],\n [\n -91.32831573486328,\n 40.383166701111\n ],\n [\n -91.32831573486328,\n 40.417155564302945\n ],\n [\n -91.40007019042967,\n 40.417155564302945\n ],\n [\n -91.40007019042967,\n 40.383166701111\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"296","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Putland, Rosalyn L","contributorId":267200,"corporation":false,"usgs":false,"family":"Putland","given":"Rosalyn","email":"","middleInitial":"L","affiliations":[{"id":18006,"text":"University of Minnesota Duluth","active":true,"usgs":false}],"preferred":false,"id":824676,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brey, Marybeth K. 0000-0003-4403-9655 mbrey@usgs.gov","orcid":"https://orcid.org/0000-0003-4403-9655","contributorId":187651,"corporation":false,"usgs":true,"family":"Brey","given":"Marybeth","email":"mbrey@usgs.gov","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":824677,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mensinger, Allen F.","contributorId":150852,"corporation":false,"usgs":false,"family":"Mensinger","given":"Allen","email":"","middleInitial":"F.","affiliations":[{"id":6915,"text":"University of Minnesota - Duluth","active":true,"usgs":false}],"preferred":false,"id":824678,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}