{"pageNumber":"648","pageRowStart":"16175","pageSize":"25","recordCount":184634,"records":[{"id":70227005,"text":"70227005 - 2020 - Inexpensive, underwater filming of rare fishes in high definition","interactions":[],"lastModifiedDate":"2021-12-27T14:30:12.954468","indexId":"70227005","displayToPublicDate":"2020-02-10T08:26:56","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5686,"text":"Fisheries Magazine","active":true,"publicationSubtype":{"id":10}},"title":"Inexpensive, underwater filming of rare fishes in high definition","docAbstract":"

Generating public interest in fish and their biology is often challenging. Many aquatic species are cryptic and largely invisible to the public. Therefore, increasing public awareness of cryptic fishes and elevating their visibility to broad audiences requires innovation. Inexpensive technological advancements now provide fisheries biologists, managers, and researchers with means never before possible for documenting fish in their natural habitat via underwater videography. We investigated cost efficient and simple methods for capturing and creating high quality, high definition, and informative underwater videos that could be used by people with little or no previous experience in videography. We tested 1) a variety of filming equipment including cameras and camera recording settings, lenses, batteries, and memory cards; 2) active and passive camera deployment techniques; and 3) a variety of free and paid postproduction software and compared them for ease of use, expense, and quality of output. Highest quality footage, i.e., highest resolution, clearest, and most stable, was obtained using a GoPro action camera deployed underwater in a stationary position mounted to a metal base plate using a combination of stock and macro lenses, and filming in 4K resolution at 30 frames per second. Final production videos were created using Adobe Premiere Pro.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/fsh.10391","usgsCitation":"Bonar, S.A., and Ulrich, T., 2020, Inexpensive, underwater filming of rare fishes in high definition: Fisheries Magazine, v. 45, no. 3, p. 121-130, https://doi.org/10.1002/fsh.10391.","productDescription":"10 p.","startPage":"121","endPage":"130","ipdsId":"IP-106514","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":393410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-02-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":829152,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ulrich, Taylor","contributorId":270364,"corporation":false,"usgs":false,"family":"Ulrich","given":"Taylor","email":"","affiliations":[{"id":40855,"text":"UA","active":true,"usgs":false}],"preferred":false,"id":829153,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70228618,"text":"70228618 - 2020 - Assessing establishment and growth of agricultural plantings on reservoir mudflats","interactions":[],"lastModifiedDate":"2022-02-15T13:12:38.484704","indexId":"70228618","displayToPublicDate":"2020-02-10T07:10:24","publicationYear":"2020","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":"Assessing establishment and growth of agricultural plantings on reservoir mudflats","docAbstract":"

Winter drawdowns in flood control reservoirs create expansive mudflats that lack the vegetation typical of littoral zones, which reduces the amount of structure available for fish habitat. This study investigated the feasibility of establishing agricultural plantings as a management action to ameliorate mudflats by providing structural cover following reservoir refilling. We tested cool-season annual grasses and clovers applied in several mixed and monoculture treatments that were sown on the mudflats of Enid Reservoir, Mississippi, during the winter drawdown in three consecutive years. Soil samples were taken for analysis of pH and macronutrients prior to planting. Plantings were monitored until the following spring to evaluate effectiveness of establishment through ground coverage, height, and stem density sampling. Plots were assigned a seeding treatment of either grasses (ryegrass Lolium spp. or triticale x Triticosecale sp.), clovers (balansa clover Trifolium michelianum or berseem clover Trifolium alexandrinum), or both (mixed plantings) or left as an unseeded control. Differences among plant treatments were assessed via repeated measures analysis of variance and differences among means evaluated with Tukey's honestly significant difference test. Soil productivity within the study area was poor all 3 years. Grasses germinated both when disked into the soil and when top sown, while clover only germinated when disked. Plots seeded with grasses performed better than control plots with respect to stem density, height, and ground coverage, while plots seeded with grass and clover mixtures performed better than control plots only with respect to height, and plots seeded with only clover did not perform significantly better than control plots. Results serve as an evaluation of the efficacy of agricultural plant establishment on the mudflats of a flood control reservoir, inform the direction of future research, and identify considerations regarding the application of agricultural plantings as a management tool to create fish habitat.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10419","usgsCitation":"Norris, D.M., Hatcher, H., Colvin, M.E., Coppola, G., Lashley, M.A., and Miranda, L.E., 2020, Assessing establishment and growth of agricultural plantings on reservoir mudflats: North American Journal of Fisheries Management, v. 40, no. 2, p. 394-405, https://doi.org/10.1002/nafm.10419.","productDescription":"12 p.","startPage":"394","endPage":"405","ipdsId":"IP-112978","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395971,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","otherGeospatial":"Enid Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.94438171386719,\n 34.107824929870844\n ],\n [\n -89.70474243164062,\n 34.107824929870844\n ],\n [\n -89.70474243164062,\n 34.19874101783143\n ],\n [\n -89.94438171386719,\n 34.19874101783143\n ],\n [\n -89.94438171386719,\n 34.107824929870844\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-02-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Norris, D. M.","contributorId":271192,"corporation":false,"usgs":false,"family":"Norris","given":"D.","email":"","middleInitial":"M.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":834846,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hatcher, H.R.","contributorId":278602,"corporation":false,"usgs":false,"family":"Hatcher","given":"H.R.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":834847,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Colvin, M. E.","contributorId":275884,"corporation":false,"usgs":false,"family":"Colvin","given":"M.","email":"","middleInitial":"E.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":834848,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coppola, G.","contributorId":265335,"corporation":false,"usgs":false,"family":"Coppola","given":"G.","email":"","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":834849,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lashley, M. A.","contributorId":278603,"corporation":false,"usgs":false,"family":"Lashley","given":"M.","email":"","middleInitial":"A.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":834850,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":834851,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70225151,"text":"70225151 - 2020 - Modelling pinniped abundance and distribution by combining counts at terrestrial sites and in-water sightings","interactions":[],"lastModifiedDate":"2021-10-14T12:36:44.168238","indexId":"70225151","displayToPublicDate":"2020-02-09T07:34:46","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Modelling pinniped abundance and distribution by combining counts at terrestrial sites and in-water sightings","docAbstract":"

Pinnipeds are commonly monitored using aerial photographic surveys at land- or ice-based sites, where animals come ashore for resting, pupping, molting, and to avoid predators. Although these counts form the basis for monitoring population change over time, they do not provide information regarding where animals occur in the water, which is often of management and conservation interest. In this study, we developed a hierarchical model that links counts of pinnipeds at terrestrial sites to sightings-at-sea and estimates abundance, spatial distribution, and the proportion of time spent on land (attendance probability). The structure of the model also allows for the inclusion of predictors that may explain variation in ecological and observation processes. We applied the model to Steller sea lions (Eumetopias jubatus) in Glacier Bay, Alaska using counts of sea lions from aerial photographic surveys and opportunistic in-water sightings from vessel surveys. Glacier Bay provided an ideal test and application of the model because data are available on attendance probability based on long-term monitoring. We found that occurrence in the water was positively related to proximity to terrestrial sites, as would be expected for a species that engages in central-place foraging. The proportion of sea lions in attendance at terrestrial sites and overall abundance estimates were consistent with reports from the literature and monitoring programs. The model we describe has benefit and utility for park managers who wish to better understand the overlap between pinnipeds and visitors, and the framework that we present has potential for application across a variety of study systems and taxa.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2020.108965","usgsCitation":"Whitlock, S., Womble, J., and Peterson, J., 2020, Modelling pinniped abundance and distribution by combining counts at terrestrial sites and in-water sightings: Ecological Modelling, v. 420, 108965, 11 p., https://doi.org/10.1016/j.ecolmodel.2020.108965.","productDescription":"108965, 11 p.","ipdsId":"IP-105882","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":457777,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2020.108965","text":"Publisher Index Page"},{"id":390517,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Glacier National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -139.63623046875,\n 57.237448817822425\n ],\n [\n -132.16552734375,\n 57.237448817822425\n ],\n [\n -132.16552734375,\n 59.58441353704829\n ],\n [\n -139.63623046875,\n 59.58441353704829\n ],\n [\n -139.63623046875,\n 57.237448817822425\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"420","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Whitlock, Steven L.","contributorId":267708,"corporation":false,"usgs":false,"family":"Whitlock","given":"Steven L.","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":825171,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Womble, Jamie N.","contributorId":267709,"corporation":false,"usgs":false,"family":"Womble","given":"Jamie N.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":825172,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":825170,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70227739,"text":"70227739 - 2020 - Estuarine submerged aquatic vegetation habitat provides organic carbon storage across a shifting landscape","interactions":[],"lastModifiedDate":"2022-01-28T16:06:48.496916","indexId":"70227739","displayToPublicDate":"2020-02-08T10:02:58","publicationYear":"2020","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":"Estuarine submerged aquatic vegetation habitat provides organic carbon storage across a shifting landscape","docAbstract":"

Submerged aquatic vegetation (SAV) thrives across the estuarine salinity gradient providing valuable ecosystem services. Within the saline portion of estuaries, seagrass areas are frequently cited as hotspots for their role in capturing and retaining organic carbon (Corg). Non-seagrass SAV, located in the fresh to brackish estuarine areas, may also retain significant soil Corg, yet their role remains unquantified. Given rapidly occurring landscape and salinity changes due to human and natural disturbances, landscape level carbon pool estimates from estuarine SAV habitat blue carbon estimates are needed. We assessed Corg stocks in SAV habitat soils from estuarine freshwater to saline habitats (interior deltaic) to saline barrier islands (Chandeleur Island) within the Mississippi River Delta Plain (MRDP), Louisiana, USA. SAV habitats contain Corg stocks equivalent to those reported for other estuarine vegetation types (seagrass, salt marsh, mangrove). Interior deltaic SAV Corg stocks (231.6 ± 19.5 Mg Corg ha−1) were similar across the salinity gradient, and significantly higher than at barrier island sites (56.6 ± 10.4 Mg Corg ha−1). Within the MRDP, shallow water SAV habitat covers up to an estimated 28,000 ha, indicating that soil Corg storage is potentially 6.4 ± 0.1 Tg representing an unaccounted Corg pool. Extrapolated across Louisiana, and the Gulf of Mexico, this represents a major unaccounted pool of soil Corg. As marshes continue to erode, the ability of coastal SAV habitat to offset some of the lost carbon sequestration may be valuable. Our estimates of Corg sequestration rates indicated that conversion of eroding marsh to potential SAV habitat may help to offset the reduction of Corg sequestration rates. Across Louisiana, we estimated SAV to offset this loss by as much as 79,000 Mg C yr−1 between the 1960s and 2000s.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2020.137217","usgsCitation":"Hillman, E.R., Rivera-Monroy, V., Nyman, A.J., and La Peyre, M., 2020, Estuarine submerged aquatic vegetation habitat provides organic carbon storage across a shifting landscape: Science of the Total Environment, v. 717, 137217, 12 p., https://doi.org/10.1016/j.scitotenv.2020.137217.","productDescription":"137217, 12 p.","ipdsId":"IP-090252","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":457780,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://repository.lsu.edu/agrnr_pubs/603","text":"Publisher Index Page"},{"id":395067,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.6431884765625,\n 29.776297851831366\n ],\n [\n -88.81072998046875,\n 30.21398171687066\n ],\n [\n -89.56878662109375,\n 30.161751648356894\n ],\n [\n -89.86541748046875,\n 30.401306519203583\n ],\n [\n -90.318603515625,\n 30.557530797259172\n ],\n [\n -91.01074218749999,\n 30.57408532473883\n ],\n [\n -91.15631103515625,\n 30.28990324883237\n ],\n [\n -91.834716796875,\n 29.935895213372444\n ],\n [\n -91.878662109375,\n 29.76437737516313\n ],\n [\n -91.285400390625,\n 29.008140362978157\n ],\n [\n -90.428466796875,\n 28.738763971370293\n ],\n [\n -89.05517578125,\n 28.9120147012556\n ],\n [\n -88.6431884765625,\n 29.776297851831366\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"717","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hillman, E. R.","contributorId":264718,"corporation":false,"usgs":false,"family":"Hillman","given":"E.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":831996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rivera-Monroy, V. H.","contributorId":272502,"corporation":false,"usgs":false,"family":"Rivera-Monroy","given":"V. H.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":831997,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nyman, A. J.","contributorId":265337,"corporation":false,"usgs":false,"family":"Nyman","given":"A.","email":"","middleInitial":"J.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":831998,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"La Peyre, Megan K. 0000-0001-9936-2252","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":264343,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":831999,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70208829,"text":"70208829 - 2020 - Genes in space: What Mojave desert tortoise genetics can tell us about landscape connectivity","interactions":[],"lastModifiedDate":"2020-04-06T23:15:41.220637","indexId":"70208829","displayToPublicDate":"2020-02-08T08:46:13","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Genes in space: What Mojave desert tortoise genetics can tell us about landscape connectivity","docAbstract":"Habitat loss and fragmentation in the Mojave Desert have been increasing, which can create barriers to movement and gene flow leading to decreased populations of native species. Disturbance and degradation of Mojave desert tortoise habitat includes linear features (e.g. highways, railways, and a network of dirt roads), urbanized areas, and their associated infrastructure, mining activities, energy distribution systems, and most recently, utility-scale solar facilities. To evaluate the spatial genetic structure of tortoises in an area experiencing rapid habitat loss, we conducted field surveys from 2015-2017 and genotyped 299 tortoises at 20 microsatellite loci within and around Ivanpah Valley along the California/Nevada border. We used a Bayesian clustering analysis to examine population genetic structure across valley and mountain pass habitat. Spatial principal components analysis was included to further investigate population genetic structure with isolation-by-distance. To explicitly incorporate landscape features (e.g. habitat and anthropogenic linear barriers) we used maximum likelihood population effects. We assessed recent gene flow on the landscape through maximum likelihood pedigree analyses of relatedness. We detected three to four genetic clusters with high levels of admixture that generally corresponded to three valleys separated by mountain ranges, and a genetically distinguishable population in one mountain pass. Pedigree analyses showed second order relationships up to 60 km apart suggesting a greater range of interactions and inter-relatedness between individuals than previously suspected. Our results support historical gene flow with isolation-by-resistance, and reveal a genetic signal indicative of reduction in genetic connectivity across two parallel linear features (a railway and a highway). This work demonstrates the value of protecting connected tracts of functional habitat and the importance of connectivity research in conservation.","language":"English","publisher":"Springer","doi":"10.1007/s10592-020-01251-z","usgsCitation":"Dutcher, K.E., Vandergast, A.G., Esque, T., Mitelberg, A., Matocq, M.D., Heaton, J.S., and Nussear, K., 2020, Genes in space: What Mojave desert tortoise genetics can tell us about landscape connectivity: Conservation Genetics, v. 21, p. 289-303, https://doi.org/10.1007/s10592-020-01251-z.","productDescription":"15 p.","startPage":"289","endPage":"303","ipdsId":"IP-113961","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":437120,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90LIQRI","text":"USGS data release","linkHelpText":"Microsatellite genotypes for desert tortoise (Gopherus agassizii) in Ivanpah Valley (2015-2017)"},{"id":372836,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada ","otherGeospatial":"Mojave Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.3946533203125,\n 33.65578083204094\n ],\n [\n -114.70275878906249,\n 33.280027811732154\n ],\n [\n -114.40612792968749,\n 35.14686290675633\n ],\n [\n -115.77941894531249,\n 35.92464453144099\n ],\n [\n -116.70227050781249,\n 35.420391545750746\n ],\n [\n -117.32299804687499,\n 34.985003130171066\n ],\n [\n -116.83959960937499,\n 34.347971491244955\n ],\n [\n -116.3946533203125,\n 33.65578083204094\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2020-02-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Dutcher, Kirsten E.","contributorId":221063,"corporation":false,"usgs":false,"family":"Dutcher","given":"Kirsten","email":"","middleInitial":"E.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":783516,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vandergast, Amy G. 0000-0002-7835-6571 avandergast@usgs.gov","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":3963,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","email":"avandergast@usgs.gov","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":783515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Esque, Todd 0000-0002-4166-6234 tesque@usgs.gov","orcid":"https://orcid.org/0000-0002-4166-6234","contributorId":195896,"corporation":false,"usgs":true,"family":"Esque","given":"Todd","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":783517,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mitelberg, Anna amitelberg@usgs.gov","contributorId":173293,"corporation":false,"usgs":true,"family":"Mitelberg","given":"Anna","email":"amitelberg@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":783518,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Matocq, Marjorie D","contributorId":222917,"corporation":false,"usgs":false,"family":"Matocq","given":"Marjorie","email":"","middleInitial":"D","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":783519,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Heaton, Jill S.","contributorId":175155,"corporation":false,"usgs":false,"family":"Heaton","given":"Jill","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":783520,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nussear, Ken E","contributorId":221816,"corporation":false,"usgs":false,"family":"Nussear","given":"Ken E","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":783521,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70208267,"text":"sim3446 - 2020 - Seismicity of the Earth 1900–2018","interactions":[{"subject":{"id":98510,"text":"sim3064 - 2010 - Seismicity of the Earth 1900-2007","indexId":"sim3064","publicationYear":"2010","noYear":false,"title":"Seismicity of the Earth 1900-2007"},"predicate":"SUPERSEDED_BY","object":{"id":70208267,"text":"sim3446 - 2020 - Seismicity of the Earth 1900–2018","indexId":"sim3446","publicationYear":"2020","noYear":false,"title":"Seismicity of the Earth 1900–2018"},"id":1}],"lastModifiedDate":"2022-04-22T19:52:50.634837","indexId":"sim3446","displayToPublicDate":"2020-02-07T13:55:21","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3446","displayTitle":"Seismicity of the Earth 1900–2018","title":"Seismicity of the Earth 1900–2018","docAbstract":"

This map illustrates 119 years of global seismicity in the context of global plate tectonics and the Earth’s physiography. Primarily designed for use by earth scientists, engineers, and educators, this map provides a comprehensive overview of strong (magnitude [M] 5.5 and larger) earthquakes since 1900. The map clearly identifies the locations of the “great” earthquakes (M 8.0 and larger) and the aftershock or rupture area (green fill), if known, of the M 8.3 or larger earthquakes. The circular earthquake symbols are scaled to be proportional to the moment magnitude and therefore to the area of faulting, thus providing a better understanding of the relative sizes and distribution of earthquakes in the magnitude range 5.5 to 9.5. Plotting the known rupture or aftershock areas (which are closely related) of the largest earthquakes also provides a better appreciation of the faulting extent of some of the most famous and damaging instrumentally recorded earthquakes in modern history.

","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3446","usgsCitation":"Hayes, G.P., Smoczyk, G.M., Villaseñor, A.H., Furlong, K.P., and Benz, H.M, 2020, Seismicity of the Earth 1900–2018: U.S. Geological Survey Scientific Investigations Map 3446, scale 1:22,500,000, https://doi.org/10.3133/sim3446. [Supersedes USGS Scientific Investigations Map 3064.]","productDescription":"1 Sheet: 73.25 x 44.75 inches","onlineOnly":"N","ipdsId":"IP-111771","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":371836,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3446/coverthb2.jpg"},{"id":399519,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109666.htm"},{"id":371837,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3446/sim3446.pdf","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3446"}],"scale":"22500000","contact":"

Center Director, Geologic Hazards Science Center
U.S. Geological Survey
Box 25046, Mail Stop 966
Denver, CO 80225

","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2020-02-07","noUsgsAuthors":false,"publicationDate":"2020-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Hayes, Gavin P. 0000-0003-3323-0112 ghayes@usgs.gov","orcid":"https://orcid.org/0000-0003-3323-0112","contributorId":147556,"corporation":false,"usgs":true,"family":"Hayes","given":"Gavin","email":"ghayes@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":781193,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smoczyk, Gregory M. 0000-0002-6591-4060 gsmoczyk@usgs.gov","orcid":"https://orcid.org/0000-0002-6591-4060","contributorId":5239,"corporation":false,"usgs":true,"family":"Smoczyk","given":"Gregory","email":"gsmoczyk@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":781194,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Villasenor, Antonio H. 0000-0001-8592-4832","orcid":"https://orcid.org/0000-0001-8592-4832","contributorId":38186,"corporation":false,"usgs":true,"family":"Villasenor","given":"Antonio","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":781195,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Furlong, Kevin P. 0000-0002-2674-5110","orcid":"https://orcid.org/0000-0002-2674-5110","contributorId":19576,"corporation":false,"usgs":false,"family":"Furlong","given":"Kevin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":781196,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Benz, Harley M. 0000-0002-6860-2134 benz@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-2134","contributorId":794,"corporation":false,"usgs":true,"family":"Benz","given":"Harley","email":"benz@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":781197,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70208404,"text":"70208404 - 2020 - Determining the drivers of suspended sediment dynamics in tidal marsh-influenced estuaries using high-resolution ocean color remote sensing","interactions":[],"lastModifiedDate":"2020-03-11T15:23:08","indexId":"70208404","displayToPublicDate":"2020-02-07T13:35:19","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Determining the drivers of suspended sediment dynamics in tidal marsh-influenced estuaries using high-resolution ocean color remote sensing","docAbstract":"Sediment budgets are a critical metric to assess coastal marsh vulnerability to sea-level rise and declining riverine sediment inputs. However, calculating accurate sediment budgets is challenging in tidal marsh-influenced estuaries where suspended sediment concentrations (SSC) typically vary on scales of hours and meters, and where SSC dynamics are driven by a complex and often site-specific interplay of hydrodynamic and meteorological conditions. The mapping of SSC using ocean-color remote sensing is well established and can help capture the spatio-temporal variability needed to determine the dominant drivers regulating sediment budgets. However, the coarse spatial resolution of traditional ocean-color sensors (1-km) generally precludes their use in coastal-marsh estuaries. Here, using the Plum Island Estuary (Massachusetts, USA) as an example, we demonstrate that high-spatial-resolution maps of SSC derived from Landsat-8 Operational Land Imager (OLI) and Sentinel-2A/B Multispectral Instruments (MSI) can be used to determine the main drivers of SSC dynamics in tidal marsh-influenced estuaries, despite the long revisit time of these sensors. Local empirical algorithms between SSC and remote sensing reflectance were derived and applied to a total of 46 clear-sky scenes collected by the OLI and the MSI between 2013 and 2018. The analysis revealed that this 5-year record was sufficient to capture a representative range of meteorological and tidal conditions required to determine the main drivers of SSC dynamics in this mid-latitude system. The interplay between river and tidal flows dominated SSC dynamics in this estuary, whereas wind-driven resuspension had more moderate effects. The SSC were higher during spring because of increased river discharge due to snowmelt. Tidal asymmetry also enhanced sediment resuspension during flood tides, possibly favoring deposition on marsh platforms. Together, water level, water-level rate of change, river discharge and wind speed were able to explain > 60% of the variability in the main-channel thalweg-averaged SSC, thereby facilitating future prediction of SSC from these readily available variables. This study demonstrates that the existing multi-year records of high-resolution remote sensing can provide a representative depiction of SSC dynamics in hydrodynamically-complex and small-scale estuaries that moderate-resolution ocean color remote sensing and in situ measurements are unable to capture.","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2020.111682","usgsCitation":"Zhang, X., Fichot, C., Baracco, C., Guo, R., Neugebauer, S., Bengtsson, Z., Ganju, N., and Fagherazzi, S., 2020, Determining the drivers of suspended sediment dynamics in tidal marsh-influenced estuaries using high-resolution ocean color remote sensing: Remote Sensing, v. 240, 111682, 14 p., https://doi.org/10.1016/j.rse.2020.111682.","productDescription":"111682, 14 p.","ipdsId":"IP-109014","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":457785,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2020.111682","text":"Publisher Index Page"},{"id":372176,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Plum Island Estuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.9771728515625,\n 42.72683914955442\n ],\n [\n -70.68328857421875,\n 42.72683914955442\n ],\n [\n -70.68328857421875,\n 42.871938424448466\n ],\n [\n -70.9771728515625,\n 42.871938424448466\n ],\n [\n -70.9771728515625,\n 42.72683914955442\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"240","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Xiaohe","contributorId":213308,"corporation":false,"usgs":false,"family":"Zhang","given":"Xiaohe","email":"","affiliations":[],"preferred":false,"id":781753,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fichot, Cedric","contributorId":222269,"corporation":false,"usgs":false,"family":"Fichot","given":"Cedric","affiliations":[{"id":40511,"text":"Department of Earth and Environment, Boston University, Boston, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":781754,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baracco, Carly","contributorId":222270,"corporation":false,"usgs":false,"family":"Baracco","given":"Carly","email":"","affiliations":[{"id":40511,"text":"Department of Earth and Environment, Boston University, Boston, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":781755,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guo, Ruizhe","contributorId":222271,"corporation":false,"usgs":false,"family":"Guo","given":"Ruizhe","email":"","affiliations":[{"id":40512,"text":"NASA DEVELOP National Program, Boston, MA, USA","active":true,"usgs":false}],"preferred":false,"id":781756,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Neugebauer, Sydney","contributorId":222272,"corporation":false,"usgs":false,"family":"Neugebauer","given":"Sydney","email":"","affiliations":[{"id":40512,"text":"NASA DEVELOP National Program, Boston, MA, USA","active":true,"usgs":false}],"preferred":false,"id":781757,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bengtsson, Zachary","contributorId":222273,"corporation":false,"usgs":false,"family":"Bengtsson","given":"Zachary","email":"","affiliations":[{"id":40512,"text":"NASA DEVELOP National Program, Boston, MA, USA","active":true,"usgs":false}],"preferred":false,"id":781758,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":202878,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":781752,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fagherazzi, Sergio","contributorId":207153,"corporation":false,"usgs":false,"family":"Fagherazzi","given":"Sergio","email":"","affiliations":[{"id":37465,"text":"Boston University, Earth and Environment, Boston, 02215, USA.","active":true,"usgs":false}],"preferred":false,"id":781759,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70228164,"text":"70228164 - 2020 - Water quality and ecological risk assessment of intermittent streamflow through mining and urban areas of San Marcos River sub-basin, Mexico","interactions":[],"lastModifiedDate":"2022-02-07T19:32:21.43433","indexId":"70228164","displayToPublicDate":"2020-02-07T13:10:53","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10088,"text":"Environmental Nanotechnology, Monitoring & Management","onlineIssn":"2215-1532","active":true,"publicationSubtype":{"id":10}},"title":"Water quality and ecological risk assessment of intermittent streamflow through mining and urban areas of San Marcos River sub-basin, Mexico","docAbstract":"

Intermittent rivers are becoming more ecologically stressed worldwide. Flow cessation occurs naturally and spatiotemporally in these systems and anthropogenic activities such as wastewater discharges can have considerable impacts. Public entities mostly monitor water quality in permanent streams, leading to insufficient monitoring of intermittent streams and consequently to their potentially inadequate management.. This study analyzed spatiotemporal patterns of water quality and associated ecological risk through the quantification of physicochemical and microbiological pollutants in the intermittent river system of El Novillo and San Marcos in Northeast Mexico. Results showed that water quality varied geographically and seasonally. Based on national and international criteria, annual averages of water quality parameters analyzed suggested that streamflow in these river systems is of poor quality and poses high ecological risk to aquatic life. In the urban area, annual mean concentrations of Cd and Pb (0.14 and 0.4 mg/L) were 77- and 10-fold higher than their respective water quality criteria (<0.0018 and 0.04 mg/L). Statistically significant (q < 0.05) correlations were identified in concentrations of cyanide, Cd, Cu and Pb between wastewater seeping into the river and streamflow within the urban area. These observations highlight the unique sensitivity of intermittent urban streams to anthropogenic activities and may provide useful information to enhance current water management plans for the El Novillo-San Marcos River system for the protection of ecosystem integrity and human health.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.enmm.2020.100369","usgsCitation":"Lopez, E., Patino, R., Vazquez-Sauceda, M.L., Perez-Castaneda, R., Arellano-Mendez, L.U., Ventura-Houle, R., and Heyer, L., 2020, Water quality and ecological risk assessment of intermittent streamflow through mining and urban areas of San Marcos River sub-basin, Mexico: Environmental Nanotechnology, Monitoring & Management, v. 14, 100369, 9 p., https://doi.org/10.1016/j.enmm.2020.100369.","productDescription":"100369, 9 p.","ipdsId":"IP-109161","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395560,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","otherGeospatial":"El Novillo Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -100.37109375,\n 23.644524198573688\n ],\n [\n -97.998046875,\n 23.644524198573688\n ],\n [\n -97.998046875,\n 25.16517336866393\n ],\n [\n -100.37109375,\n 25.16517336866393\n ],\n [\n -100.37109375,\n 23.644524198573688\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"14","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lopez, Elisenda","contributorId":274748,"corporation":false,"usgs":false,"family":"Lopez","given":"Elisenda","email":"","affiliations":[{"id":56648,"text":"Universidad Autónoma de Tamaulipas","active":true,"usgs":false}],"preferred":false,"id":833279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":833280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vazquez-Sauceda, Maria L.","contributorId":274749,"corporation":false,"usgs":false,"family":"Vazquez-Sauceda","given":"Maria","email":"","middleInitial":"L.","affiliations":[{"id":56648,"text":"Universidad Autónoma de Tamaulipas","active":true,"usgs":false}],"preferred":false,"id":833281,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perez-Castaneda, Roberto","contributorId":274750,"corporation":false,"usgs":false,"family":"Perez-Castaneda","given":"Roberto","email":"","affiliations":[{"id":56648,"text":"Universidad Autónoma de Tamaulipas","active":true,"usgs":false}],"preferred":false,"id":833282,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Arellano-Mendez, Leonardo U.","contributorId":274751,"corporation":false,"usgs":false,"family":"Arellano-Mendez","given":"Leonardo","email":"","middleInitial":"U.","affiliations":[{"id":56648,"text":"Universidad Autónoma de Tamaulipas","active":true,"usgs":false}],"preferred":false,"id":833283,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ventura-Houle, Rene","contributorId":274752,"corporation":false,"usgs":false,"family":"Ventura-Houle","given":"Rene","email":"","affiliations":[{"id":56648,"text":"Universidad Autónoma de Tamaulipas","active":true,"usgs":false}],"preferred":false,"id":833284,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Heyer, Lorenzo","contributorId":274753,"corporation":false,"usgs":false,"family":"Heyer","given":"Lorenzo","email":"","affiliations":[{"id":56648,"text":"Universidad Autónoma de Tamaulipas","active":true,"usgs":false}],"preferred":false,"id":833285,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70211204,"text":"70211204 - 2020 - Blind testing of shoreline evolution models","interactions":[],"lastModifiedDate":"2020-07-17T17:46:53.600536","indexId":"70211204","displayToPublicDate":"2020-02-07T12:41:30","publicationYear":"2020","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":"Blind testing of shoreline evolution models","docAbstract":"

Beaches around the world continuously adjust to daily and seasonal changes in wave and tide conditions, which are themselves changing over longer time-scales. Different approaches to predict multi-year shoreline evolution have been implemented; however, robust and reliable predictions of shoreline evolution are still problematic even in short-term scenarios (shorter than decadal). Here we show results of a modelling competition, where 19 numerical models (a mix of established shoreline models and machine learning techniques) were tested using data collected for Tairua beach, New Zealand with 18 years of daily averaged alongshore shoreline position and beach rotation (orientation) data obtained from a camera system. In general, traditional shoreline models and machine learning techniques were able to reproduce shoreline changes during the calibration period (1999–2014) for normal conditions but some of the model struggled to predict extreme and fast oscillations. During the forecast period (unseen data, 2014–2017), both approaches showed a decrease in models’ capability to predict the shoreline position. This was more evident for some of the machine learning algorithms. A model ensemble performed better than individual models and enables assessment of uncertainties in model architecture. Research-coordinated approaches (e.g., modelling competitions) can fuel advances in predictive capabilities and provide a forum for the discussion about the advantages/disadvantages of available models.

","language":"English","publisher":"Nature","doi":"10.1038/s41598-020-59018-y","usgsCitation":"Jennifer Montaño, Coco, G., Antolinez, J., Beuzen, T., Bryan, K.R., Cagigal, L., Bruno Castelle, Davidson, M., Goldstein, E.B., Ibaceta, R., Déborah Idier, Ludka, B.C., Masoud-Ansari, S., Fernando Mendez, A. Brad Murray, Plant, N.G., Ratlif, K., Robinet, A., Ana Rueda, Nadia Sénéchal, Simmons, J., Splinter, K., Scott Stephens, Townend, I., Vitousek, S., and Vos, K., 2020, Blind testing of shoreline evolution models: Scientific Reports, v. 10, 2137, 10 p., https://doi.org/10.1038/s41598-020-59018-y.","productDescription":"2137, 10 p.","ipdsId":"IP-116455","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":457790,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-020-59018-y","text":"Publisher Index Page"},{"id":376470,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","noUsgsAuthors":false,"publicationDate":"2020-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Jennifer Montaño","contributorId":229413,"corporation":false,"usgs":false,"family":"Jennifer 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For bounded outcome variables restricted to the\nunit interval, however, classical modeling approaches based on mean squared error\nloss may severely suer as they do not account for heteroscedasticity in the data.\nTo address this issue, we propose a random forest approach for relating a beta dis-\ntributed outcome to a set of explanatory variables. Our approach explicitly makes\nuse of the likelihood function of the beta distribution for the selection of splits dur-\ning the tree-building procedure. In each iteration of the tree-building algorithm it\nchooses one explanatory variable in combination with a split point that maximizes\nthe log-likelihood function of the beta distribution with the parameter estimates de-\nrived from the nodes of the currently built tree. Results of several simulation studies\nand an application using data from the U.S.A. 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Groundwater influences stream environments in numerous ways including structuring biotic assemblages. However, associations between groundwater influence and warmwater fish assemblages are under-studied. We examined relationships between groundwater contribution, population size, and total length (TL) for 5 warmwater fishes at 32 stream reaches in the Ozark Highlands ecoregion. When we controlled for distance from an impoundment, population size and TL were significantly related to groundwater influence for all 5 species. Sunfishes were significantly less abundant in reaches with high levels of groundwater contribution (HGC reaches), whereas Ambloplites rupestris (Rock Bass) and Nocomis asper (Redspot Chub) TLs were significantly greater at HGC reaches. Reach-scale groundwater contribution explained nearly 4 times more unexplained variation among fish densities than did TL. Our study provides insight into the structuring role of groundwater on warmwater fish populations.

","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/058.019.0210","usgsCitation":"Mollenhauer, R., Miller, A., Goff, J., and Brewer, S.K., 2020, The influence of groundwater on the population size and total length of warmwater stream fishes: Southeastern Naturalist, v. 19, no. 2, p. 308-324, https://doi.org/10.1656/058.019.0210.","productDescription":"17 p.","startPage":"308","endPage":"324","ipdsId":"IP-109195","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395546,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri, Oklahoma","otherGeospatial":"Ozark Highlands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.61151123046875,\n 36.49418152677427\n ],\n [\n -93.79852294921875,\n 36.51405119943165\n ],\n [\n -93.85620117187499,\n 37.00035919622158\n ],\n [\n -94.61975097656249,\n 36.99816565700228\n ],\n [\n -94.888916015625,\n 37.00255267215955\n ],\n [\n -95.34484863281249,\n 36.35052700542763\n ],\n [\n -95.38330078125,\n 36.140092827322654\n ],\n [\n -95.2789306640625,\n 35.561277754384555\n ],\n [\n -94.84771728515625,\n 35.30167705397601\n ],\n [\n -94.73785400390625,\n 35.32408937278183\n ],\n [\n -94.493408203125,\n 35.576916524038616\n ],\n [\n -94.53460693359374,\n 35.99578538642032\n ],\n [\n -94.61151123046875,\n 36.49418152677427\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"19","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mollenhauer, Robert","contributorId":242899,"corporation":false,"usgs":false,"family":"Mollenhauer","given":"Robert","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":833286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Andrew D.","contributorId":243521,"corporation":false,"usgs":false,"family":"Miller","given":"Andrew D.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":833287,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goff, Josh","contributorId":243395,"corporation":false,"usgs":false,"family":"Goff","given":"Josh","email":"","affiliations":[{"id":48711,"text":"Dauphin Island Sea Lab","active":true,"usgs":false}],"preferred":false,"id":833288,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":833289,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70205997,"text":"pp1861 - 2020 - Geochronologic age constraints on tectonostratigraphic units of the central Virginia Piedmont, USA","interactions":[],"lastModifiedDate":"2022-04-22T19:07:33.289959","indexId":"pp1861","displayToPublicDate":"2020-02-07T10:10:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1861","displayTitle":"Geochronologic Age Constraints on Tectonostratigraphic Units of the Central Virginia Piedmont, USA","title":"Geochronologic age constraints on tectonostratigraphic units of the central Virginia Piedmont, USA","docAbstract":"

New geologic mapping coupled with uranium-lead (U-Pb) zircon geochronology (sensitive high-resolution ion microprobe-reverse geometry [SHRIMP-RG] and laser ablation-inductively coupled plasma-mass spectrometry [LA-ICP-MS]) analyses of 10 samples, provides new constraints on the tectonostratigraphic framework of the central Virginia Piedmont. Detrital zircon analysis confirms that the Silurian-Devonian Quantico Formation is a postorogenic successor basin, with zircons derived primarily from Ordovician Chopawamsic Formation volcanic rocks. Detrital zircons from strata of the Long Island syncline, previously mapped as a separate successor basin, have a peri-Gondwanan component distinct from Laurentian-sourced rocks of the Potomac terrane to the west. Volcanism of the Chopawamsic Formation spanned at least 14 million years during the Ordovician. The Chopawamsic Formation contains sheet-like Late Ordovician-Silurian granodioritic and tonalitic intrusions that were once mapped as Carboniferous. Biotite-muscovite migmatitic paragneiss, which borders the Chopawamsic Formation on its southeast side and also occurs east of the Lakeside fault, preserves evidence of Silurian deformation and metamorphism, with a Carboniferous (Alleghanian) overprint. Limited SHRIMP-RG analysis of detrital zircons from this paragneiss yields a Laurentian (Mesoproterozoic) signature, which suggests that the structurally concordant contact between volcanic rocks of the Chopawamsic Formation and paragneiss is either a pre-Alleghanian fault or an unconformity.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1861","usgsCitation":"Carter, M.W., McAleer, R.J., Holm-Denoma, C.S., Spears, D.B., Regan, S.P., Burton, W.C., and Evans, N.H., 2020, Geochronologic age constraints on tectonostratigraphic units of the central Virginia Piedmont, USA: U.S. Geological Survey Professional Paper 1861, 28 p., https://doi.org/10.3133/pp1861.","productDescription":"Report: vi, 28 p.; 2 Tables","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-099524","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":399507,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109674.htm"},{"id":372001,"rank":4,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/pp/1861/pp1861_table3.xlsx","text":"Table 3","size":"447 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Isotopic data for all analyses by secondary ionization mass spectrometry on the U.S. Geological Survey/Stanford sensitive high-resolution ion microprobe-reverse geometry"},{"id":372000,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/pp/1861/pp1861_table2.xlsx","text":"Table 2","size":"98.5 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Isotopic data for all analyses by laser ablation-inductively coupled plasma-mass spectrometry at the U.S. Geological Survey Central Mineral and Environmental Resources Science Center Isotope Laboratory in Denver, Colorado"},{"id":372114,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1861/pp1861.pdf","text":"Report","size":"9.51 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1861"},{"id":371998,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1861/coverthb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"central Virginia Piedmont","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.37,\n 37.6278\n ],\n [\n -77.5,\n 37.6278\n ],\n [\n -77.5,\n 38.3758\n ],\n [\n -78.37,\n 38.3758\n ],\n [\n -78.37,\n 37.6278\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Florence Bascom Geoscience Center
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 21092

","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2020-02-06","noUsgsAuthors":false,"publicationDate":"2020-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Carter, Mark W. 0000-0003-0460-7638 mcarter@usgs.gov","orcid":"https://orcid.org/0000-0003-0460-7638","contributorId":4808,"corporation":false,"usgs":true,"family":"Carter","given":"Mark","email":"mcarter@usgs.gov","middleInitial":"W.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":773239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":773240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holm-Denoma, Christopher S. 0000-0003-3229-5440","orcid":"https://orcid.org/0000-0003-3229-5440","contributorId":219814,"corporation":false,"usgs":true,"family":"Holm-Denoma","given":"Christopher","email":"","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":773241,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spears, David B.","contributorId":147157,"corporation":false,"usgs":false,"family":"Spears","given":"David B.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":773242,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Regan, Sean P.","contributorId":219815,"corporation":false,"usgs":false,"family":"Regan","given":"Sean P.","affiliations":[{"id":13599,"text":"University of Alaska - Fairbanks","active":true,"usgs":false}],"preferred":false,"id":773243,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burton, William C. 0000-0001-7519-5787 bburton@usgs.gov","orcid":"https://orcid.org/0000-0001-7519-5787","contributorId":1293,"corporation":false,"usgs":true,"family":"Burton","given":"William","email":"bburton@usgs.gov","middleInitial":"C.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":773244,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Evans, Nick H.","contributorId":219816,"corporation":false,"usgs":false,"family":"Evans","given":"Nick","email":"","middleInitial":"H.","affiliations":[{"id":40074,"text":"Center for Sustainable Groundwater","active":true,"usgs":false}],"preferred":false,"id":773245,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70214480,"text":"70214480 - 2020 - Timing of Cenozoic extension in the southern Stillwater Range and Dixie Valley, Nevada","interactions":[],"lastModifiedDate":"2020-09-28T14:36:21.177826","indexId":"70214480","displayToPublicDate":"2020-02-07T09:31:43","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"Timing of Cenozoic extension in the southern Stillwater Range and Dixie Valley, Nevada","docAbstract":"

The Dixie Valley fault bounds the east side of the Stillwater Range in west‐central Nevada and last ruptured in 1954. Offset basalts indicate that slip began more recently than ~14 Ma, and prior work has interpreted the southern segment as an active low‐angle normal fault. Oligocene igneous rocks in the southern Stillwater Range were steeply tilted during large‐magnitude extension prior to ~14 Ma. To refine the timing of early extension and the onset of slip on the Dixie Valley fault, we collected two transects of samples for apatite fission track, apatite and zircon (U‐Th)/He (AHe and ZHe), and apatite 4He/3He thermochronometry. Apatite fission track ages from the Oligocene IXL pluton indicate rapid cooling ~18–14 Ma, and AHe and ZHe ages from the Cretaceous La Plata Canyon pluton indicate rapid cooling ~16–19 Ma. We interpret these data to record cooling during rapid extension. AHe ages from the IXL pluton are ~6–8 Ma and record cooling during slip on the Dixie Valley fault. We modeled these ages and 4He/3He spectra from one sample as the result of cooling during exhumation of a tilted fault block at a constant extension rate. The model predicts slip on the Dixie Valley fault beginning ~8 Ma. Although it does not constrain the initial fault dip, the model illustrates how a low‐angle fault requires a higher extension rate to reproduce cooling ages. Consequently, we prefer a high‐angle southern Dixie Valley fault for strain compatibility with the high‐angle northern segment.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019TC005757","usgsCitation":"Colgan, J.P., Johnstone, S., and Shuster, D.L., 2020, Timing of Cenozoic extension in the southern Stillwater Range and Dixie Valley, Nevada: Tectonics, v. 39, no. 3, e2019TC005757, 18 p., https://doi.org/10.1029/2019TC005757.","productDescription":"e2019TC005757, 18 p.","ipdsId":"IP-109291","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":437121,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94QAABV","text":"USGS data release","linkHelpText":"Thermochronologic data from the southern Stillwater Range, Nevada"},{"id":378809,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Southern Stillwater Range, Dixie Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.740234375,\n 38.42777351132902\n ],\n [\n -117.0703125,\n 38.42777351132902\n ],\n [\n -117.0703125,\n 40.413496049701955\n ],\n [\n -118.740234375,\n 40.413496049701955\n ],\n [\n -118.740234375,\n 38.42777351132902\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"39","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Colgan, Joseph P. 0000-0001-6671-1436 jcolgan@usgs.gov","orcid":"https://orcid.org/0000-0001-6671-1436","contributorId":1649,"corporation":false,"usgs":true,"family":"Colgan","given":"Joseph","email":"jcolgan@usgs.gov","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":799690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnstone, Samuel 0000-0002-3945-2499","orcid":"https://orcid.org/0000-0002-3945-2499","contributorId":207545,"corporation":false,"usgs":true,"family":"Johnstone","given":"Samuel","email":"","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":799691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shuster, David L.","contributorId":241607,"corporation":false,"usgs":false,"family":"Shuster","given":"David","email":"","middleInitial":"L.","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":799692,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70214305,"text":"70214305 - 2020 - A spatially explicit, empirical estimate of tree-based biological nitrogen fixation in forests of the United States","interactions":[],"lastModifiedDate":"2020-09-25T14:20:41.430575","indexId":"70214305","displayToPublicDate":"2020-02-07T09:15:27","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"A spatially explicit, empirical estimate of tree-based biological nitrogen fixation in forests of the United States","docAbstract":"

Quantifying human impacts on the nitrogen (N) cycle and investigating natural ecosystem N cycling depend on the magnitude of inputs from natural biological nitrogen fixation (BNF). Here, we present two bottom‐up approaches to quantify tree‐based symbiotic BNF based on forest inventory data across the coterminous United States and SE Alaska. For all major N‐fixing tree genera, we quantify BNF inputs using (1) ecosystem N accretion rates (kg N ha−1 yr−1) scaled with spatial data on tree abundance and (2) percent of N derived from fixation (%Ndfa) scaled with tree N demand (from tree growth rates and stoichiometry). We estimate that trees fix 0.30–0.88 Tg N yr−1 across the study area (1.4–3.4 kg N ha−1 yr−1). Tree‐based N fixation displays distinct spatial variation that is dominated by two genera, Robinia (64% of tree‐associated BNF) and Alnus (24%). The third most important genus, Prosopis, accounted for 5%. Compared to published estimates of other N fluxes, tree‐associated BNF accounted for 0.59 Tg N yr−1, similar to asymbiotic (0.37 Tg N yr−1) and understory symbiotic BNF (0.48 Tg N yr−1), while N deposition contributed 1.68 Tg N yr−1 and rock weathering 0.37 Tg N yr−1. Overall, our results reveal previously uncharacterized spatial patterns in tree BNF that can inform large‐scale N assessments and serve as a model for improving tree‐based BNF estimates worldwide. This updated, lower BNF estimate indicates a greater ratio of anthropogenic to natural N inputs, suggesting an even greater human impact on the N cycle.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019GB006241","usgsCitation":"Staccone, A., Liao, W., Perakis, S.S., Compton, J., Clark, C., and Menge, D., 2020, A spatially explicit, empirical estimate of tree-based biological nitrogen fixation in forests of the United States: Global Biogeochemical Cycles, v. 34, no. 2, e2019GB006241, 18 p., https://doi.org/10.1029/2019GB006241.","productDescription":"e2019GB006241, 18 p.","ipdsId":"IP-104007","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":457798,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019gb006241","text":"Publisher Index Page"},{"id":378747,"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 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Wenying","contributorId":241125,"corporation":false,"usgs":false,"family":"Liao","given":"Wenying","email":"","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":799600,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perakis, Steven S. 0000-0003-0703-9314 sperakis@usgs.gov","orcid":"https://orcid.org/0000-0003-0703-9314","contributorId":145528,"corporation":false,"usgs":true,"family":"Perakis","given":"Steven","email":"sperakis@usgs.gov","middleInitial":"S.","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":799601,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Compton, Jana","contributorId":145529,"corporation":false,"usgs":false,"family":"Compton","given":"Jana","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":799602,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clark, Christopher L.","contributorId":168382,"corporation":false,"usgs":false,"family":"Clark","given":"Christopher L.","affiliations":[{"id":25276,"text":"US EPA, National Center for Envirenmental Assessment, DC","active":true,"usgs":false}],"preferred":false,"id":799603,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Menge, Duncan 0000-0003-4736-9844","orcid":"https://orcid.org/0000-0003-4736-9844","contributorId":241126,"corporation":false,"usgs":false,"family":"Menge","given":"Duncan","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":799604,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70208463,"text":"70208463 - 2020 - Sensitivity of warm water fishes and rainbow trout to selected contaminants","interactions":[],"lastModifiedDate":"2020-03-11T15:27:24","indexId":"70208463","displayToPublicDate":"2020-02-07T09:08:34","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1103,"text":"Bulletin of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Sensitivity of warm water fishes and rainbow trout to selected contaminants","docAbstract":"

Guidelines for developing water quality standards allow U.S. states to exclude toxicity data for the family Salmonidae (trout and salmon) when deriving guidelines for warm-water habitats. This practice reflects the belief that standards based on salmonid data may be overprotective of toxic effects on other fish taxa. In acute tests with six chemicals and eight fish species, the salmonid, Rainbow Trout (Oncorhynchus mykiss), was the most sensitive species tested with copper, zinc, and sulfate, but warm-water species were most sensitive to nickel, chloride, and ammonia. Overall, warm-water fishes, including sculpins (Cottidae) and sturgeons (Acipenseridae), were about as sensitive as salmonids in acute tests and in limited chronic testing with Lake Sturgeon (Acipenser fulvescens) and Mottled Sculpin (Cottus bairdi). In rankings of published acute values, invertebrate taxa were most sensitive for all six chemicals tested and there was no trend for greater sensitivity of salmonids compared to warm-water fish.

","language":"English","publisher":"Springer","doi":"10.1007/s00128-020-02788-y","usgsCitation":"Besser, J.M., Dorman, R.A., Ivey, C.D., Cleveland, D.M., and Steevens, J.A., 2020, Sensitivity of warm water fishes and rainbow trout to selected contaminants: Bulletin of Environmental Contamination and Toxicology, v. 104, p. 321-326, https://doi.org/10.1007/s00128-020-02788-y.","productDescription":"6 p.","startPage":"321","endPage":"326","ipdsId":"IP-112054","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":372219,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"104","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2020-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Besser, John M. 0000-0002-9464-2244 jbesser@usgs.gov","orcid":"https://orcid.org/0000-0002-9464-2244","contributorId":2073,"corporation":false,"usgs":true,"family":"Besser","given":"John","email":"jbesser@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":781992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dorman, Rebecca A. 0000-0002-5748-7046","orcid":"https://orcid.org/0000-0002-5748-7046","contributorId":28522,"corporation":false,"usgs":true,"family":"Dorman","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":781993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ivey, Chris D. 0000-0002-0485-7242 civey@usgs.gov","orcid":"https://orcid.org/0000-0002-0485-7242","contributorId":3308,"corporation":false,"usgs":true,"family":"Ivey","given":"Chris","email":"civey@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":781994,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cleveland, Danielle M. 0000-0003-3880-4584 dcleveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3880-4584","contributorId":187471,"corporation":false,"usgs":true,"family":"Cleveland","given":"Danielle","email":"dcleveland@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":781995,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Steevens, Jeffery A. 0000-0003-3946-1229","orcid":"https://orcid.org/0000-0003-3946-1229","contributorId":207511,"corporation":false,"usgs":true,"family":"Steevens","given":"Jeffery","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":781996,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70212514,"text":"70212514 - 2020 - Plastic faulting in ice","interactions":[],"lastModifiedDate":"2020-08-19T13:51:58.437896","indexId":"70212514","displayToPublicDate":"2020-02-07T08:41:10","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5999,"text":"Journal of Geophysical Research- Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Plastic faulting in ice","docAbstract":"

Plastic faulting is a brittle‐like failure phenomenon exhibited by water ice and several other rock types under confinement. It is suspected to be the mechanism of deep earthquakes and extreme cases of shear localization in shallow rocks. Unlike ordinary Coulombic failure, plastic faulting is characterized by a pressure‐independent failure strength and fault plane oriented 45° to maximum principal stress. To research the question of how the instability initiates, we conducted over 50 constant‐displacement‐rate experiments on polycrystalline ice (phases Ih and II) near the brittle‐to‐ductile (B‐D) transition, at confining pressures P = 0–300 MPa, applied strain rates \"urn:x-wiley:21699313:media:jgrb54034:jgrb54034-math-0001\" = 5 × 10−5 – 7 × 10−3 s−1, temperatures T = 105–233 K, and mean grain sizes d = 0.25–1.18 mm. We find that (1) the width of the B‐D transition in variable space is vanishingly narrow, to the point of appearing as a crossover, (2) a plastic fault plane, once formed, is not a zone of subsequent weakness, (3) distributed ice I→II phase transformation in small amounts (<1 vol%) shows no causal relationship to subsequent failure, and (4) plastic faulting also occurs in ice II. We hypothesize that the elusive nucleating “trigger” parallels that of metals and ceramics undergoing severe plastic deformation, wherein transient local structural rearrangement occurs, in turn causing material strength to drop to a level sufficiently low, in a volume sufficiently large, that adiabatic instability is nucleated. Our results do not require and often are inconsistent with phase transformation. Plastic faulting may therefore be available to all solids undergoing severe deformation, and its appearance in so few is simply the result of insufficiently extreme conditions.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019JB018749","usgsCitation":"Golding, N., Durham, W.B., Prior, D.J., and Stern, L.A., 2020, Plastic faulting in ice: Journal of Geophysical Research- Solid Earth, v. 125, no. 5, e2019JB018749, 22 p., https://doi.org/10.1029/2019JB018749.","productDescription":"e2019JB018749, 22 p.","ipdsId":"IP-107189","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":457803,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2019jb018749","text":"External Repository"},{"id":377644,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"125","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-05-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Golding, Narayama","contributorId":238827,"corporation":false,"usgs":false,"family":"Golding","given":"Narayama","email":"","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":796642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Durham, William B","contributorId":238828,"corporation":false,"usgs":false,"family":"Durham","given":"William","email":"","middleInitial":"B","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":796643,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prior, David J","contributorId":238829,"corporation":false,"usgs":false,"family":"Prior","given":"David","email":"","middleInitial":"J","affiliations":[{"id":13378,"text":"University of Otago, New Zealand","active":true,"usgs":false}],"preferred":false,"id":796644,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stern, Laura A. 0000-0003-3440-5674","orcid":"https://orcid.org/0000-0003-3440-5674","contributorId":212238,"corporation":false,"usgs":true,"family":"Stern","given":"Laura","email":"","middleInitial":"A.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":796645,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70224284,"text":"70224284 - 2020 - Flea sharing among sympatric rodent hosts: implications for potential plague effects on a threatened sciurid","interactions":[],"lastModifiedDate":"2021-09-20T13:02:13.220326","indexId":"70224284","displayToPublicDate":"2020-02-07T08:00:41","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Flea sharing among sympatric rodent hosts: implications for potential plague effects on a threatened sciurid","docAbstract":"

For vector-borne diseases, the abundance and competency of different vector species and their host preferences will impact the transfer of pathogens among hosts. Sylvatic plague is a lethal disease caused by the primarily flea-borne bacterium Yersinia pestis. Sylvatic plague was introduced into the western United States in the early 1900s and impacts many species of rodents. Plague may be suppressing populations of the threatened northern Idaho ground squirrel (Urocitellus brunneus) if a competent flea community is allowing plague to be maintained within the few extant sites that support this rare ground squirrel. We collected fleas from four species of sympatric rodents in central Idaho: northern Idaho ground squirrels, Columbian ground squirrels (Urocitellus columbianus), yellow-pine chipmunks (Tamias amoenus), and deer mice (Peromyscus maniculatus). We evaluated which flea species were present and whether fleas were shared among the rodent community. We documented seven species of fleas among 3356 fleas collected from the four host species of rodents, and all seven species of fleas are known vectors of plague. Three of the seven flea species were detected on all four rodent species, demonstrating potential for spillover of plague (bridge vectors) in the rodent community. We used generalized linear mixed models to evaluate which abiotic and biotic factors influence flea abundance (total number of fleas, regardless of flea species, on each individual host of the four rodent host species). Factors that impacted flea abundance varied among the four host species, but flea abundance: (1) changed over summer depending on host species, (2) was greater on males, and (3) was impacted by summer and winter precipitation depending on host species. Our results suggest this diverse flea community has the capacity to transfer Y. pestis among populations of the four rodents if Y. pestis is present. Furthermore, the disease may be more likely to persist in some locations than others, those that have higher flea abundances, more sympatric hosts, or optimal conditions for fleas, and such high-risk sites can be identified based on their abiotic and biotic factors.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.3033","usgsCitation":"Goldberg, A., Conway, C.J., and Biggins, D.E., 2020, Flea sharing among sympatric rodent hosts: implications for potential plague effects on a threatened sciurid: Ecosphere, v. 11, no. 2, e03033, 19 p., https://doi.org/10.1002/ecs2.3033.","productDescription":"e03033, 19 p.","ipdsId":"IP-105632","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":457805,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3033","text":"Publisher Index Page"},{"id":389476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.619873046875,\n 44.74673324024678\n ],\n [\n -115.103759765625,\n 44.74673324024678\n ],\n [\n -115.103759765625,\n 45.336701909968134\n ],\n [\n -116.619873046875,\n 45.336701909968134\n ],\n [\n -116.619873046875,\n 44.74673324024678\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Goldberg, Amanda R.","contributorId":265814,"corporation":false,"usgs":false,"family":"Goldberg","given":"Amanda R.","affiliations":[{"id":54806,"text":"iu","active":true,"usgs":false}],"preferred":false,"id":823450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":823451,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":823452,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70217086,"text":"70217086 - 2020 - Co-occurrence and occupancy dynamics of mourning doves and Eurasian collared-doves","interactions":[],"lastModifiedDate":"2021-01-05T13:14:55.225713","indexId":"70217086","displayToPublicDate":"2020-02-07T07:07:43","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Co-occurrence and occupancy dynamics of mourning doves and Eurasian collared-doves","docAbstract":"

Understanding how land cover and potential competition with invasive species shape patterns of occupancy, extirpation, and colonization of native species across a landscape can help target management for declining native populations. Mourning dove (Zenaida macroura) populations have declined throughout the United States from 1965–2015. The expansion of the Eurasian collared‐dove (Streptopelia decaocto), an introduced species with similar food preferences, may further threaten mourning dove populations. We analyzed data from 2009–2016 from a large‐scale monitoring program in the Western Great Plains of the United States in a 2‐species occupancy model to assess the effects of collared‐doves on mourning dove distributions, while accounting for imperfect detection and variation in land cover across the landscape. Mourning dove occupancy was stable or increasing across our study area, and despite overlap in resource use and co‐occurrence between mourning doves and Eurasian collared‐doves, we found no evidence that collared‐doves are extirpating mourning doves from preferred habitat during the breeding season. 

","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21835","usgsCitation":"Green, A., Sofaer, H., Otis, D.L., and Van Lanen, N.J., 2020, Co-occurrence and occupancy dynamics of mourning doves and Eurasian collared-doves: Journal of Wildlife Management, v. 84, no. 4, p. 775-785, https://doi.org/10.1002/jwmg.21835.","productDescription":"11 p.","startPage":"775","endPage":"785","ipdsId":"IP-107369","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":437122,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TYF93I","text":"USGS data release","linkHelpText":"Co-occurrence and Occupancy Dynamics of Mourning Doves and Eurasian Collared-Doves"},{"id":381870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas, Oklahoma, Kansas, Nebraska, South Dakota, North Dakota, Montana, Wyoming, Colorado, New Mexico","otherGeospatial":"Badlands and Prairies and Shortgrass Prairie Bird Conservation Regions","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -101.1181640625,\n 32.95336814579932\n ],\n [\n -101.3818359375,\n 36.63316209558658\n ],\n [\n -101.6455078125,\n 43.068887774169625\n ],\n [\n -100.2392578125,\n 45.182036837015886\n ],\n [\n -100.72265625,\n 47.487513008956554\n ],\n [\n -104.9853515625,\n 48.28319289548349\n ],\n [\n -109.3359375,\n 47.60616304386874\n ],\n [\n -111.8408203125,\n 47.54687159892238\n ],\n [\n -106.171875,\n 42.71473218539458\n ],\n [\n -104.4580078125,\n 37.71859032558816\n ],\n [\n -104.4140625,\n 33.02708758002874\n ],\n [\n -101.1181640625,\n 32.95336814579932\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"84","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Green, Adam W.","contributorId":246045,"corporation":false,"usgs":false,"family":"Green","given":"Adam W.","affiliations":[{"id":25644,"text":"Bird Conservancy of the Rockies","active":true,"usgs":false}],"preferred":false,"id":807560,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sofaer, Helen 0000-0002-9450-5223","orcid":"https://orcid.org/0000-0002-9450-5223","contributorId":216681,"corporation":false,"usgs":true,"family":"Sofaer","given":"Helen","email":"","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":807561,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Otis, David L","contributorId":246046,"corporation":false,"usgs":false,"family":"Otis","given":"David","email":"","middleInitial":"L","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":807562,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van Lanen, Nicholas J.","contributorId":246047,"corporation":false,"usgs":false,"family":"Van Lanen","given":"Nicholas","middleInitial":"J.","affiliations":[{"id":25644,"text":"Bird Conservancy of the Rockies","active":true,"usgs":false}],"preferred":false,"id":807563,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70208562,"text":"70208562 - 2020 - Cryptic and extensive hybridization between ancient lineages of American crows","interactions":[],"lastModifiedDate":"2020-03-11T15:51:00","indexId":"70208562","displayToPublicDate":"2020-02-07T06:44:32","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Cryptic and extensive hybridization between ancient lineages of American crows","docAbstract":"

Most species and therefore most hybrid zones have historically been defined using phenotypic characters. However, both speciation and hybridization can occur with negligible morphological differentiation. Recently developed genomic tools provide the means to better understand cryptic speciation and hybridization. The Northwestern Crow (Corvus caurinus) and American Crow (Corvus brachyrhynchos) are continuously distributed sister taxa that lack reliable traditional characters for identification. In this first population genomic study of Northwestern and American crows, we use genomic SNPs (nuDNA) and mtDNA to investigate the degree of genetic differentiation between these crows and the extent to which they may hybridize. Our results indicate that American and Northwestern crows have distinct evolutionary histories, supported by two nuDNA ancestry clusters and two 1.1%‐divergent mtDNA clades dating to the late Pleistocene, when glacial advances may have isolated crow populations in separate refugia. We document extensive hybridization, with geographic overlap of mtDNA clades and admixture of nuDNA across >900 km of western Washington and western British Columbia. This broad hybrid zone consists of late‐generation hybrids and backcrosses, but not recent (e.g., F1) hybrids. Nuclear DNA and mtDNA clines had concordant widths and were both centred in southwestern British Columbia, farther north than previously postulated. Overall, our results suggest a history of reticulate evolution in American and Northwestern crows, perhaps due to recurring neutral expansion(s) from Pleistocene glacial refugia followed by lineage fusion(s). However, we do not rule out a contributing role for more recent potential drivers of hybridization, such as expansion into human‐modified habitats.

","language":"English","publisher":"Wiley","doi":"10.1111/mec.15377","usgsCitation":"Slager, D., Epperly, K., Ha, R., Rohwer, S., Woodall, C.W., Van Hemert, C.R., and Klicka, J., 2020, Cryptic and extensive hybridization between ancient lineages of American crows: Molecular Ecology, v. 29, no. 5, p. 956-969, https://doi.org/10.1111/mec.15377.","productDescription":"14 p.","startPage":"956","endPage":"969","ipdsId":"IP-103862","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":457807,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1101/491654","text":"External Repository"},{"id":372375,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada","state":"Washington","otherGeospatial":"British Columbia ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -128.232421875,\n 50.00773901463687\n ],\n [\n -124.1015625,\n 45.583289756006316\n ],\n [\n -118.91601562499999,\n 45.583289756006316\n ],\n [\n -118.91601562499999,\n 55.07836723201515\n ],\n [\n -131.748046875,\n 54.36775852406841\n ],\n [\n -128.232421875,\n 50.00773901463687\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"29","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Slager, David","contributorId":222550,"corporation":false,"usgs":false,"family":"Slager","given":"David","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":782502,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Epperly, Kevin","contributorId":222551,"corporation":false,"usgs":false,"family":"Epperly","given":"Kevin","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":782503,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ha, Renee","contributorId":222552,"corporation":false,"usgs":false,"family":"Ha","given":"Renee","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":782504,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rohwer, Sievert","contributorId":222553,"corporation":false,"usgs":false,"family":"Rohwer","given":"Sievert","email":"","affiliations":[{"id":40561,"text":"Burke Museum of Natural History and Culture","active":true,"usgs":false}],"preferred":false,"id":782505,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Woodall, Christopher W.","contributorId":53696,"corporation":false,"usgs":false,"family":"Woodall","given":"Christopher","email":"","middleInitial":"W.","affiliations":[{"id":7264,"text":"USDA Forest Service, Northern Research Station, Beltsville, MD 20705","active":true,"usgs":false}],"preferred":false,"id":782506,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Van Hemert, Caroline R. 0000-0002-6858-7165 cvanhemert@usgs.gov","orcid":"https://orcid.org/0000-0002-6858-7165","contributorId":3592,"corporation":false,"usgs":true,"family":"Van Hemert","given":"Caroline","email":"cvanhemert@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":782501,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Klicka, John","contributorId":222554,"corporation":false,"usgs":false,"family":"Klicka","given":"John","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":782507,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70208693,"text":"70208693 - 2020 - Global physical controls on estuarine habitat distribution during sea levelchange: Consequences for genetic diversification through time","interactions":[],"lastModifiedDate":"2020-02-24T19:00:02","indexId":"70208693","displayToPublicDate":"2020-02-06T18:58:35","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1844,"text":"Global and Planetary Change","active":true,"publicationSubtype":{"id":10}},"title":"Global physical controls on estuarine habitat distribution during sea levelchange: Consequences for genetic diversification through time","docAbstract":"Determining the extrinsic (physical) factors controlling speciation and diversification of species through time is\nof key interest in paleontology and evolutionary biology. The role of sea-level change in shaping species richness\npatterns of marginal marine species has received much attention, but with variable conclusions. Recent work\ncombining genetic data and Geographical Information Systems (GIS)-based habitat modeling yielded a framework\nfor how geomorphology of continental margins mediates genetic connectivity of populations during sealevel\nchange. This approach may ultimately yield insights on how distinct lineages, species, and biodiversity\naccumulate in coastal settings. Here, we expand this GIS work globally to different geomorphic settings to model\nestuarine habitat in a larger geographic framework and test how tectonic setting, oceanographic setting, climate,\nand margin age affect habitat distribution during sea-level change. In addition, independent of estuaries we\nexplore paleobiologic (e.g. Olsson, 1961) and neontolologic effects of sea-level change on evolution, and test the\nrelation between overall shelf area and species richness using data of 1721 fish species. We find 82% global\nreduction of estuarine habitat abundance at lowstand relative to highstand, and find large habitats change in size\nmuch more than small habitats. Consistent with prior work, narrow continental margins have significantly less\nhabitat at highstand and lowstand than wide margins, and narrow margins significantly associate with fore-arc\nsettings, effectively linking tectonic setting to habitat abundance. Surprisingly, narrow margins host greater\nspecies richness, a finding which violates the canonical species-area relation. This finding can be explained if: 1)\nthe physical isolation imposed by narrow margins facilitates the formation of new species over time; 2) the sizestability\nof small habitats, which disproportionately occur on narrow margins, accumulate and retain species\nextirpated in the more variable habitats on wide margins; or 3) the smaller habitats on narrow margins facilitate\ngreater species richness through greater habitat heterogeneity. These results are generally at odds with prior\ninterpretations, but the combination of richness data and population genetic principles offer a different perspective\non these long-studied questions. Finally, we emphasize that the nuance of Pleistocene-Holocene sea\nlevel oscillations should be more explicitly considered in genetic studies.","language":"English","publisher":"Elsevier","doi":"10.1016/j.gloplacha.2020.103128","usgsCitation":"Dolby, G.A., Bedolla, A.M., Bennett, S., and Jacobs, D.K., 2020, Global physical controls on estuarine habitat distribution during sea levelchange: Consequences for genetic diversification through time: Global and Planetary Change, v. 187, 103128, https://doi.org/10.1016/j.gloplacha.2020.103128.","productDescription":"103128","ipdsId":"IP-110919","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":457809,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/3qs0m0qg","text":"External Repository"},{"id":372590,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"187","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dolby, Greer A. 0000-0002-5923-0690","orcid":"https://orcid.org/0000-0002-5923-0690","contributorId":222726,"corporation":false,"usgs":false,"family":"Dolby","given":"Greer","email":"","middleInitial":"A.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":783031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedolla, Arturo M.","contributorId":222727,"corporation":false,"usgs":false,"family":"Bedolla","given":"Arturo","email":"","middleInitial":"M.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":783032,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bennett, S. 0000-0002-9772-4122","orcid":"https://orcid.org/0000-0002-9772-4122","contributorId":29230,"corporation":false,"usgs":true,"family":"Bennett","given":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":783030,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jacobs, David K.","contributorId":139394,"corporation":false,"usgs":false,"family":"Jacobs","given":"David","email":"","middleInitial":"K.","affiliations":[{"id":12763,"text":"University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":783033,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70208976,"text":"70208976 - 2020 - Hydrologic connectivity determines dissolved organic matter biogeochemistry in northern high-latitude lakes","interactions":[],"lastModifiedDate":"2020-08-27T15:06:56.802426","indexId":"70208976","displayToPublicDate":"2020-02-06T18:31:09","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic connectivity determines dissolved organic matter biogeochemistry in northern high-latitude lakes","docAbstract":"

Northern high‐latitude lakes are undergoing climate‐induced changes including shifts in their hydrologic connectivity with terrestrial ecosystems. How this will impact dissolved organic matter (DOM) biogeochemistry remains uncertain. We examined the drivers of DOM composition for lakes in the Yukon Flats Basin in Alaska, an arid region of low relief that is characteristic of over one‐quarter of circumpolar lake area. Utilizing the vascular plant biomarker lignin, chromophoric dissolved organic matter (CDOM), and ultrahigh‐resolution mass spectrometry, we interpreted DOM compositional changes using lake‐water stable isotope (δ18O‐H2O) composition as a proxy for lake hydrologic connectivity with the landscape. We observed a relative decrease in CDOM in more hydrologically isolated lakes (enriched δ18O‐H2O) without a corresponding decrease in dissolved organic carbon (DOC) concentration. Although DOC and CDOM were weakly correlated, a significant positive relationship between lignin and CDOM (r2 = 0.67) demonstrates that optical parameters are useful for estimating lignin concentration and thus vascular plant contribution to lake DOM. Indicators of allochthonous DOM, including lignin carbon normalized yields, CDOM aromaticity proxies, and relative abundances of polyphenolic and condensed aromatic compound classes, were negatively correlated with δ18O‐H2O (r2 > 0.45), suggesting there is little allochthonous DOM supplied to many of these hydrologically isolated lakes. We conclude that decreased lake hydrologic connectivity, driven by ongoing climate change (i.e., decreased precipitation, warming temperatures), will reduce allochthonous DOM contributions and shift lakes toward lower CDOM systems with ecosystem‐scale ramifications for heat transfer, photochemical reactions, productivity, and ultimately their biogeochemical function.

","language":"English","publisher":"Wiley","doi":"10.1002/lno.11417","usgsCitation":"Johnston, S.E., Striegl, R.G., Bogard, M.J., Dornblaser, M.M., Butman, D.E., Kellerman, A.M., Wickland, K.P., Podgorski, D.C., and Spencer, R., 2020, Hydrologic connectivity determines dissolved organic matter biogeochemistry in northern high-latitude lakes: Limnology and Oceanography, v. 65, no. 8, p. 1764-1780, https://doi.org/10.1002/lno.11417.","productDescription":"17 p.","startPage":"1764","endPage":"1780","ipdsId":"IP-114991","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":373035,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon Flats Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.40136718749997,\n 66.53076810915225\n ],\n [\n -142.49267578125,\n 66.53076810915225\n ],\n [\n -142.49267578125,\n 69.4960701797534\n ],\n [\n -156.40136718749997,\n 69.4960701797534\n ],\n [\n -156.40136718749997,\n 66.53076810915225\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"65","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2020-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnston, Sarah Ellen","contributorId":213256,"corporation":false,"usgs":false,"family":"Johnston","given":"Sarah","email":"","middleInitial":"Ellen","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":784249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":false,"id":784250,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bogard, Matthew J. 0000-0001-9491-0328","orcid":"https://orcid.org/0000-0001-9491-0328","contributorId":213254,"corporation":false,"usgs":false,"family":"Bogard","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":784251,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dornblaser, Mark M. 0000-0002-6298-3757 mmdornbl@usgs.gov","orcid":"https://orcid.org/0000-0002-6298-3757","contributorId":1636,"corporation":false,"usgs":true,"family":"Dornblaser","given":"Mark","email":"mmdornbl@usgs.gov","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":784252,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Butman, David E.","contributorId":145535,"corporation":false,"usgs":false,"family":"Butman","given":"David","email":"","middleInitial":"E.","affiliations":[{"id":16142,"text":"School of Environmental and Forest Sciences & Environmental Engineering, University of Washington, Seattle","active":true,"usgs":false}],"preferred":false,"id":784253,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kellerman, Anne M.","contributorId":204172,"corporation":false,"usgs":false,"family":"Kellerman","given":"Anne","email":"","middleInitial":"M.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":784254,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wickland, Kimberly P. 0000-0002-6400-0590 kpwick@usgs.gov","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":1835,"corporation":false,"usgs":true,"family":"Wickland","given":"Kimberly","email":"kpwick@usgs.gov","middleInitial":"P.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":784248,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Podgorski, David C.","contributorId":178153,"corporation":false,"usgs":false,"family":"Podgorski","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":784255,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Spencer, Robert G. M.","contributorId":139731,"corporation":false,"usgs":false,"family":"Spencer","given":"Robert G. M.","affiliations":[{"id":12894,"text":"Department of Land, Air, and Water Resources, University of California, One Shields Avenue, Davis, CA, 95616, USA","active":true,"usgs":false}],"preferred":false,"id":784256,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70208326,"text":"fs20203005 - 2020 - \"Modified Unified Method\" of carp capture","interactions":[],"lastModifiedDate":"2020-02-07T06:14:37","indexId":"fs20203005","displayToPublicDate":"2020-02-06T15:49:37","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-3005","displayTitle":"\"Modified Unified Method\" of Carp Capture","title":"\"Modified Unified Method\" of carp capture","docAbstract":"

Populations of Hypophthalmichthys molitrix (silver carp) and Hypophthalmichthys nobilis (bighead carp), (together referred to herein as “bigheaded carp”) have increased exponentially in the greater Mississippi River Basin. Detrimental effects on native fish and economically important fisheries have occurred where these invasive, filter-feeding fish are abundant. The Unified Method, a harvest technique developed in China for bigheaded carp in flood plain lakes, uses herding techniques and a variety of nets to drive bigheaded carp and concentrate them into an area where they can be easily harvested. The U.S. Geological Survey is adapting the Chinese Unified Method concepts to be consistent with North American financial, societal, and environmental conditions. We have modified these techniques and incorporated modern technology to reduce the time and expense of Unified Methods and to allow them to be used in public waters. Thus, the operations in North America are often described as the “Modified Unified Method.” The U.S. Geological Survey is studying and refining the Modified Unified Method to provide stakeholders with efficient, validated, and environmentally friendly methods for carp removal; however, this method is still new to the United States and additional research is needed to further increase the efficiency of Modified Unified Method operations.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20203005","usgsCitation":"Chapman, D.C., 2020, \"Modified Unified Method\" of carp capture: U.S. Geological Survey Fact Sheet 2020–3005, 2 p., https://doi.org/10.3133/fs20203005.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","ipdsId":"IP-115946","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":372124,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2020/3005/coverthb.jpg"},{"id":372125,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2020/3005/fs20203005.pdf","text":"Report","size":"416 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2020–5003"}],"contact":"

Director, Columbia Environmental Research Center
U.S. Geological Survey
4200 New Haven Road
Columbia, MO 65201

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2020-02-06","noUsgsAuthors":false,"publicationDate":"2020-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":781425,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70208166,"text":"mcs2020 - 2020 - Mineral commodity summaries 2020","interactions":[],"lastModifiedDate":"2022-04-20T21:49:14.759817","indexId":"mcs2020","displayToPublicDate":"2020-02-06T14:25:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"seriesTitle":{"id":368,"text":"Mineral Commodity Summaries","active":false,"publicationSubtype":{"id":6}},"displayTitle":"Mineral Commodity Summaries 2020","title":"Mineral commodity summaries 2020","docAbstract":"

Each chapter of the 2020 edition of the U.S. Geological Survey (USGS) Mineral Commodity Summaries (MCS) includes information on events, trends, and issues for each mineral commodity as well as discussions and tabular presentations on domestic industry structure, Government programs, tariffs, 5-year salient statistics, and world production and resources. The MCS is the earliest comprehensive source of 2019 mineral production data for the world. More than 90 individual minerals and materials are covered by two-page synopses.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/mcs2020","usgsCitation":"U.S. Geological Survey, 2020, Mineral commodity summaries 2020: U.S. Geological Survey, 200 p., https://doi.org/10.3133/mcs2020.","productDescription":"200 p.","numberOfPages":"204","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-113182","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":371766,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/periodicals/mcs2020/mcs2020.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"MCS 2020"},{"id":371765,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/periodicals/mcs2020/coverthb.jpg"},{"id":399334,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109665.htm"},{"id":372005,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://www.usgs.gov/centers/nmic/commodity-statistics-and-information","text":"Commodity Statistics and Information"},{"id":371767,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://www.usgs.gov/centers/nmic/mineral-commodity-summaries","text":"Mineral Commodity Summaries Prior to 2020"}],"contact":"

Director, National Minerals Information Center
U.S. Geological Survey
12201 Sunrise Valley Drive
988 National Center
Reston, VA 20192
Email: nmicrecordsmgt@usgs.gov

","tableOfContents":"","publishedDate":"2020-02-06","noUsgsAuthors":false,"publicationDate":"2020-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":152492,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":780902,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70208283,"text":"ofr20191137 - 2020 - Groundwater withdrawals and regional flow paths at and near Willow Grove and Warminster, Pennsylvania—Data compilation and preliminary simulations for conditions in 1999, 2010, 2013, 2016, and 2017","interactions":[],"lastModifiedDate":"2023-10-25T16:35:57.196393","indexId":"ofr20191137","displayToPublicDate":"2020-02-06T14:00:00","publicationYear":"2020","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":"2019-1137","displayTitle":"Groundwater Withdrawals and Regional Flow Paths at and near Willow Grove and Warminster, Pennsylvania—Data Compilation and Preliminary Simulations for Conditions in 1999, 2010, 2013, 2016, and 2017","title":"Groundwater withdrawals and regional flow paths at and near Willow Grove and Warminster, Pennsylvania—Data compilation and preliminary simulations for conditions in 1999, 2010, 2013, 2016, and 2017","docAbstract":"

In 2014, groundwater samples from residential and public supply wells in the vicinity of two former U.S. Navy bases at Willow Grove and Warminster, and an active Air National Guard Station at Horsham, Bucks and Montgomery Counties, Pennsylvania, were found to have concentrations of perfluorooctanoic acid (PFOA) and perfluorooctane sulfonate (PFOS), which are per- and polyfluoroalkyl substances (PFAS), above U.S. Environmental Protection Agency (EPA) provisional health advisory (HA) levels for drinking water. Five supply wells near the bases were shut down because of PFAS contamination. In 2016, after EPA established a Lifetime HA for PFAS in drinking water that is lower than the provisional HA in place in 2014, at least 13 additional supply wells near the bases were shut down because of PFAS contamination. At the request of the U.S. Navy, and in consultation with other Federal and State agencies and local stakeholders, the U.S. Geological Survey used historical and recent data on well withdrawals, recharge rates, aquifer properties, groundwater levels, and stream base flow to evaluate regional groundwater-flow paths from identified areas of PFAS groundwater contamination or potential PFAS sources at the bases. Groundwater withdrawals near the bases from public supply and other large wells decreased substantially from the 1990s to 2017, increasing the proportion of groundwater recharge that discharged to local streams. A preliminary groundwater-flow model, calibrated using 1,009 groundwater levels and 17 stream base flow estimates, simulated regional flow paths from the bases and showed that recharge at the bases discharged to withdrawal wells and local streams, generally within a mile or two of the bases. Supply and remediation wells at the bases captured some of the recharge on base areas of possible PFAS contamination, whereas other base recharge was simulated to flow to nearby public supply wells and streams, depending on water use and aquifer recharge conditions between 1999 and 2017. The locations of many residential wells near the bases that were identified by the Navy and Air National Guard as having elevated PFAS concentrations were generally consistent with the simulated flow paths from possible sources at the bases. However, there are some areas of observed PFAS contamination where no flow paths from base sources were simulated. Additionally, no data were available on PFAS concentrations in groundwater in some areas of simulated flow paths from base sources. Data and models used for this study are provided in this report and in digital data releases to support further investigations and model revisions.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191137","collaboration":"Prepared in cooperation with the U.S. Navy","usgsCitation":"Goode, D.J., and Senior, L.A., 2020, Groundwater withdrawals and regional flow paths at and near Willow Grove and Warminster, Pennsylvania—Data compilation and preliminary simulations for conditions in 1999, 2010, 2013, 2016, and 2017: U.S. Geological Survey Open-File Report 2019–1137, 127 p., https://doi.org/10.3133/ofr20191137.","productDescription":"Report: x, 127 p.; 2 Data Releases","numberOfPages":"138","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-113639","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":399427,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109664.htm"},{"id":371906,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZGEI67","text":"USGS data release","linkHelpText":"Groundwater levels, groundwater withdrawals, and point-source discharges to streams in the vicinity of Willow Grove and Warminster, Bucks and Montgomery Counties, Pennsylvania, for selected years during 1999–2017"},{"id":371905,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9K36P5S","text":"USGS data release","linkHelpText":"MODFLOW 6 and MODPATH 7 model data sets used to evaluate groundwater flow in the vicinity of Horsham and Warminster, Bucks and Montgomery Counties, Pennsylvania—Preliminary simulations for conditions in 1999, 2010, 2013, 2016, and 2017"},{"id":372113,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1137/ofr20191137.pdf","text":"Report","size":"21.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1137"},{"id":371903,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1137/coverthb.jpg"}],"country":"United States","state":"Pennsylvania","county":"Bucks County, Montgomery County","city":"Warminster, Willow Grove","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.3536,\n 40.0678\n ],\n [\n -74.9167,\n 40.0678\n ],\n [\n -74.9167,\n 40.2967\n ],\n [\n -75.3536,\n 40.2967\n ],\n [\n -75.3536,\n 40.0678\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Pennsylvania Water Science Center
U.S. Geological Survey
215 Limekiln Road
New Cumberland, PA 17070

","tableOfContents":"","publishedDate":"2020-02-06","noUsgsAuthors":false,"publicationDate":"2020-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Goode, Daniel J. 0000-0002-8527-2456","orcid":"https://orcid.org/0000-0002-8527-2456","contributorId":216750,"corporation":false,"usgs":true,"family":"Goode","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":781247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senior, Lisa A. 0000-0003-2629-1996 lasenior@usgs.gov","orcid":"https://orcid.org/0000-0003-2629-1996","contributorId":2150,"corporation":false,"usgs":true,"family":"Senior","given":"Lisa","email":"lasenior@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":781248,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70208869,"text":"70208869 - 2020 - The influence of pre-fire growth patterns on post-fire tree mortality for common conifers in western U.S. parks","interactions":[],"lastModifiedDate":"2020-06-22T11:46:18.165535","indexId":"70208869","displayToPublicDate":"2020-02-06T13:49:58","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"The influence of pre-fire growth patterns on post-fire tree mortality for common conifers in western U.S. parks","docAbstract":"Fire severity in forests is often defined in terms of post-fire tree mortality, yet the influences on tree mortality following fire are not fully understood. For trees that are not killed immediately by severe fire injury, pre-fire growth may partially predict post-fire mortality probabilities for conifers of the western U.S. Here, we consider the influence of multiple growth patterns on post-fire tree mortality. Using observations from 1 to 9 years following prescribed fires in US national parks across five western states, we show that post-fire mortality for three common conifer species is related not only to fire-caused injuries (crown scorch and bole char), but also to average growth rate and long-term (25 yr) growth patterns (counts of abrupt growth declines, and possibly growth trends). Our results suggest that pre-fire environmental and biological conditions impacting tree vigor may influence post-fire tree mortality probabilities. Fire severity, as measured by tree mortality, thus reflects tree condition as well as fire intensity. Environmental conditions (such as rising temperatures and moisture stress), independent of fire intensity, may thus cause expressed fire severity to increase in western forests.","language":"English","publisher":"CSIRO","doi":"10.1071/WF19020","usgsCitation":"van Mantgem, P.J., Falk, D.A., Williams, E.C., Das, A., and Stephenson, N.L., 2020, The influence of pre-fire growth patterns on post-fire tree mortality for common conifers in western U.S. parks: International Journal of Wildland Fire, v. 29, no. 6, p. 513-518, https://doi.org/10.1071/WF19020.","productDescription":"6 p.","startPage":"513","endPage":"518","ipdsId":"IP-083437","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":372871,"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 \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.88671875,\n 48.86471476180277\n ],\n [\n -123.22265625000001,\n 49.15296965617042\n ],\n [\n -123.22265625000001,\n 48.45835188280866\n ],\n [\n -124.98046874999999,\n 48.63290858589535\n ],\n [\n -124.71679687499999,\n 46.92025531537451\n ],\n [\n -124.62890625,\n 44.15068115978094\n ],\n [\n -125.068359375,\n 41.57436130598913\n ],\n [\n -123.837890625,\n 38.685509760012\n ],\n [\n -121.81640624999999,\n 35.24561909420681\n ],\n [\n -119.44335937499999,\n 33.94335994657882\n ],\n [\n -117.333984375,\n 32.54681317351514\n ],\n [\n -115.13671875,\n 32.62087018318113\n ],\n [\n -110.74218749999999,\n 31.50362930577303\n ],\n [\n -106.25976562499999,\n 31.50362930577303\n ],\n [\n -103.0078125,\n 31.80289258670676\n ],\n [\n -102.83203125,\n 36.94989178681327\n ],\n [\n -102.216796875,\n 37.23032838760387\n ],\n [\n -102.3046875,\n 40.84706035607122\n ],\n [\n -103.53515625,\n 41.178653972331674\n ],\n [\n -103.88671875,\n 48.86471476180277\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"29","issue":"6","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"van Mantgem, Phillip J. 0000-0002-3068-9422 pvanmantgem@usgs.gov","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":222994,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip","email":"pvanmantgem@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":783768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Falk, Donald A.","contributorId":197570,"corporation":false,"usgs":false,"family":"Falk","given":"Donald","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":783769,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Emma C.","contributorId":207401,"corporation":false,"usgs":false,"family":"Williams","given":"Emma","email":"","middleInitial":"C.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":783770,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Das, Adrian J. 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":3842,"corporation":false,"usgs":true,"family":"Das","given":"Adrian J.","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":783771,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":783772,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}