{"pageNumber":"919","pageRowStart":"22950","pageSize":"25","recordCount":184617,"records":[{"id":70196767,"text":"70196767 - 2017 - Comparison of two viewing methods for estimating largemouth bass and walleye ages from sectioned otoliths and dorsal spines","interactions":[],"lastModifiedDate":"2018-05-01T13:44:16","indexId":"70196767","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","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":"Comparison of two viewing methods for estimating largemouth bass and walleye ages from sectioned otoliths and dorsal spines","docAbstract":"<p><span>Many biologists use digital images for estimating ages of fish, but the use of images could lead to differences in age estimates and precision because image capture can produce changes in light and clarity compared to directly viewing structures through a microscope. We used sectioned sagittal otoliths from 132 Largemouth Bass&nbsp;</span><i>Micropterus salmoides</i><span><span>&nbsp;</span>and sectioned dorsal spines and otoliths from 157 Walleyes<span>&nbsp;</span></span><i>Sander vitreus</i><span><span>&nbsp;</span>to determine whether age estimates and among‐reader precision were similar when annuli were enumerated directly through a microscope or from digital images. Agreement of ages between viewing methods for three readers were highest for Largemouth Bass otoliths (75–89% among readers), followed by Walleye otoliths (63–70%) and Walleye dorsal spines (47–64%). Most discrepancies (72–96%) were ±1 year, and differences were more prevalent for age‐5 and older fish. With few exceptions, mean ages estimated from digital images were similar to ages estimated via directly viewing the structures through the microscope, and among‐reader precision did not vary between viewing methods for each structure. However, the number of disagreements we observed suggests that biologists should assess potential differences in age structure that could arise if images of calcified structures are used in the age estimation process.</span></p>","language":"English","publisher":"Wiley","doi":"10.1080/02755947.2017.1383324","usgsCitation":"Wegleitner, E.J., and Isermann, D.A., 2017, Comparison of two viewing methods for estimating largemouth bass and walleye ages from sectioned otoliths and dorsal spines: North American Journal of Fisheries Management, v. 37, no. 6, p. 1304-1310, https://doi.org/10.1080/02755947.2017.1383324.","productDescription":"7 p.","startPage":"1304","endPage":"1310","ipdsId":"IP-087510","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":353882,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-30","publicationStatus":"PW","scienceBaseUri":"5afee79de4b0da30c1bfc308","contributors":{"authors":[{"text":"Wegleitner, Eric J.","contributorId":204590,"corporation":false,"usgs":false,"family":"Wegleitner","given":"Eric","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":734430,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":734299,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70197863,"text":"70197863 - 2017 - A survey of the amphibians of Savannah National Wildlife Refuge, South Carolina and Georgia","interactions":[],"lastModifiedDate":"2018-06-22T14:36:26","indexId":"70197863","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"A survey of the amphibians of Savannah National Wildlife Refuge, South Carolina and Georgia","docAbstract":"<p><span>From 2004 to 2006, we used a variety of sampling techniques to survey the amphibians of Savannah National Wildlife Refuge (SNWR), a large protected area straddling the lower portions of the Savannah River on the border between South Carolina and Georgia. We documented 22 amphibian species—15 frogs and 7 salamanders—with a possible 23rd species present. Species richness was lower than what might be expected from amphibian field guides of species inhabiting the adjacent Coastal Plain, likely due to a lack of specialized habitats, such as temporary ponds and upland pine forest. Amphibians occupied a variety of habitats and appeared tolerant of the mildly acidic and low-oxygen conditions of many of the wetlands. Although additional species may be found at SNWR, this initial survey provides a historic baseline for monitoring amphibian populations as areas adjacent to the refuge are disturbed, the climate changes, and multi-use management objectives are implemented within refuge boundaries.</span></p>","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/058.016.0405","usgsCitation":"Dodd, C.K., and Barichivich, W.J., 2017, A survey of the amphibians of Savannah National Wildlife Refuge, South Carolina and Georgia: Southeastern Naturalist, v. 16, no. 4, p. 529-545, https://doi.org/10.1656/058.016.0405.","productDescription":"17 p.","startPage":"529","endPage":"545","ipdsId":"IP-086425","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":438134,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7ST7NRD","text":"USGS data release","linkHelpText":"Survey of the amphibians of Savannah National Wildlife Refuge, South Carolina and Georgia, U.S.A."},{"id":355311,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia, South Carolina","otherGeospatial":"Savannah National Wildlife Refuge","volume":"16","issue":"4","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e624e4b060350a15d257","contributors":{"authors":[{"text":"Dodd, C. Kenneth Jr.","contributorId":205897,"corporation":false,"usgs":false,"family":"Dodd","given":"C.","suffix":"Jr.","email":"","middleInitial":"Kenneth","affiliations":[{"id":37188,"text":"Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL 32611","active":true,"usgs":false}],"preferred":false,"id":738800,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barichivich, William J. 0000-0003-1103-6861 wbarichivich@usgs.gov","orcid":"https://orcid.org/0000-0003-1103-6861","contributorId":3697,"corporation":false,"usgs":true,"family":"Barichivich","given":"William","email":"wbarichivich@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":738799,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70194680,"text":"70194680 - 2017 - Interactions among invasive plants: Lessons from Hawai‘i","interactions":[],"lastModifiedDate":"2018-01-03T13:06:42","indexId":"70194680","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":808,"text":"Annual Review of Ecology, Evolution, and Systematics","active":true,"publicationSubtype":{"id":10}},"title":"Interactions among invasive plants: Lessons from Hawai‘i","docAbstract":"<p><span>Most ecosystems have multiple-plant invaders rather than single-plant invaders, yet ecological studies and management actions focus largely on single invader species. There is a need for general principles regarding invader interactions across varying environmental conditions, so that secondary invasions can be anticipated and managers can allocate resources toward pretreatment or postremoval actions. By reviewing removal experiments conducted in three Hawaiian ecosystems (a dry tropical forest, a seasonally dry mesic forest, and a lowland wet forest), we evaluate the roles environmental harshness, priority effects, productivity potential, and species interactions have in influencing secondary invasions, defined here as invasions that are influenced either positively (facilitation) or negatively (inhibition/priority effects) by existing invaders. We generate a conceptual model with a surprise index to describe whether long-term plant invader composition and dominance is predictable or stochastic after a system perturbation such as a removal experiment. Under extremely low resource availability, the surprise index is low, whereas under intermediate-level resource environments, invader dominance is more stochastic and the surprise index is high. At high resource levels, the surprise index is intermediate: Invaders are likely abundant in the environment but their response to a perturbation is more predictable than at intermediate resource levels. We suggest further testing across environmental gradients to determine key variables that dictate the predictability of postremoval invader composition.</span></p>","language":"English","publisher":"Annual Reviews","doi":"10.1146/annurev-ecolsys-110316-022620","usgsCitation":"D’Antonio, C.M., Ostertag, R., Cordell, S., and Yelenik, S.G., 2017, Interactions among invasive plants: Lessons from Hawai‘i: Annual Review of Ecology, Evolution, and Systematics, v. 48, p. 521-541, https://doi.org/10.1146/annurev-ecolsys-110316-022620.","productDescription":"21 p.","startPage":"521","endPage":"541","ipdsId":"IP-087888","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":469266,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1146/annurev-ecolsys-110316-022620","text":"Publisher Index Page"},{"id":349949,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","volume":"48","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60faf6e4b06e28e9c22a20","contributors":{"authors":[{"text":"D’Antonio, Carla M.","contributorId":196690,"corporation":false,"usgs":false,"family":"D’Antonio","given":"Carla","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":724878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ostertag, Rebecca","contributorId":197840,"corporation":false,"usgs":false,"family":"Ostertag","given":"Rebecca","email":"","affiliations":[],"preferred":false,"id":724879,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cordell, Susan","contributorId":197818,"corporation":false,"usgs":false,"family":"Cordell","given":"Susan","email":"","affiliations":[],"preferred":false,"id":724880,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yelenik, Stephanie G. 0000-0002-9011-0769 syelenik@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-0769","contributorId":5251,"corporation":false,"usgs":true,"family":"Yelenik","given":"Stephanie","email":"syelenik@usgs.gov","middleInitial":"G.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":724877,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70195142,"text":"70195142 - 2017 - Earthquake Early Warning ShakeAlert System: Testing and certification platform","interactions":[],"lastModifiedDate":"2018-02-08T13:34:56","indexId":"70195142","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Earthquake Early Warning ShakeAlert System: Testing and certification platform","docAbstract":"<p><span>Earthquake early warning systems provide warnings to end users of incoming moderate to strong ground shaking from earthquakes. An earthquake early warning system, ShakeAlert, is providing alerts to beta end users in the western United States, specifically California, Oregon, and Washington. An essential aspect of the earthquake early warning system is the development of a framework to test modifications to code to ensure functionality and assess performance. In 2016, a Testing and Certification Platform (TCP) was included in the development of the Production Prototype version of ShakeAlert. The purpose of the TCP is to evaluate the robustness of candidate code that is proposed for deployment on ShakeAlert Production Prototype servers. TCP consists of two main components: a real‐time&nbsp;</span><i>in situ</i><span><span>&nbsp;</span>test that replicates the real‐time production system and an offline playback system to replay test suites. The real‐time tests of system performance assess code optimization and stability. The offline tests comprise a stress test of candidate code to assess if the code is production ready. The test suite includes over 120 events including local, regional, and teleseismic historic earthquakes, recentering and calibration events, and other anomalous and potentially problematic signals. Two assessments of alert performance are conducted. First, point‐source assessments are undertaken to compare magnitude, epicentral location, and origin time with the Advanced National Seismic System Comprehensive Catalog, as well as to evaluate alert latency. Second, we describe assessment of the quality of ground‐motion predictions at end‐user sites by comparing predicted shaking intensities to ShakeMaps for historic events and implement a threshold‐based approach that assesses how often end users initiate the appropriate action, based on their ground‐shaking threshold. TCP has been developed to be a convenient streamlined procedure for objectively testing algorithms, and it has been designed with flexibility to accommodate significant changes in development of new or modified system code. It is expected that the TCP will continue to evolve along with the ShakeAlert system, and the framework we describe here provides one example of how earthquake early warning systems can be evaluated.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220170138","usgsCitation":"Cochran, E.S., Kohler, M.D., Given, D.D., Guiwits, S., Andrews, J., Meier, M., Ahmad, M., Henson, I., Hartog, J.R., and Smith, D., 2017, Earthquake Early Warning ShakeAlert System: Testing and certification platform: Seismological Research Letters, v. 89, no. 1, p. 108-117, https://doi.org/10.1785/0220170138.","productDescription":"10 p.","startPage":"108","endPage":"117","ipdsId":"IP-087135","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":469263,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.caltech.edu/CaltechAUTHORS:20171208-083947727","text":"External 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,{"id":70195185,"text":"70195185 - 2017 - The effect of beaver ponds on water quality in rural coastal plain streams","interactions":[],"lastModifiedDate":"2018-02-07T13:29:53","indexId":"70195185","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"The effect of beaver ponds on water quality in rural coastal plain streams","docAbstract":"<p><span>We compared water-quality effects of 13 beaver ponds on adjacent free-flowing control reaches in the Coastal Plain of rural North Carolina. We measured concentrations of nitrate, ammonium, soluble reactive phosphorus (SRP), and suspended sediment (SS) upstream and downstream of paired ponds and control reaches. Nitrate and SS concentrations decreased, ammonium concentrations increased, and SRP concentrations were unaffected downstream of the ponds and relative to the control reaches. The pond effect on nitrate concentration was a reduction of 112 ± 55 μg-N/L (19%) compared to a control-reach—influenced reduction of 28 ± 17 μg-N/L. The pond effect on ammonium concentration was an increase of 9.47 ± 10.9 μg-N/L (59%) compared to the control-reach—influenced reduction of 1.49 ± 1.37 μg-N/L. The pond effect on SS concentration was a decrease of 3.41 ± 1.68 mg/L (40%) compared to a control-reach—influenced increase of 0.56 ± 0.27 mg/L. Ponds on lower-order streams reduced nitrate concentrations by greater amounts compared to those in higher-order streams. Older ponds reduced SS concentrations by greater amounts compared to younger ponds. The findings of this study indicate that beaver ponds provide water-quality benefits to rural Coastal Plain streams by reducing concentrations of nitrate and suspended sediment.</span></p>","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/058.016.0408","usgsCitation":"Bason, C.W., Kroes, D., and Brinson, M., 2017, The effect of beaver ponds on water quality in rural coastal plain streams: Southeastern Naturalist, v. 16, no. 4, p. 584-602, https://doi.org/10.1656/058.016.0408.","productDescription":"19 p.","startPage":"584","endPage":"602","ipdsId":"IP-076120","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":351269,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.75848388671875,\n              35.24225438307026\n            ],\n            [\n              -76.95236206054688,\n              35.24225438307026\n            ],\n            [\n              -76.95236206054688,\n              35.89795019335754\n            ],\n            [\n              -77.75848388671875,\n              35.89795019335754\n            ],\n            [\n              -77.75848388671875,\n              35.24225438307026\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"16","issue":"4","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7c1e78e4b00f54eb229312","contributors":{"authors":[{"text":"Bason, Christopher W.","contributorId":201992,"corporation":false,"usgs":false,"family":"Bason","given":"Christopher","email":"","middleInitial":"W.","affiliations":[{"id":36316,"text":"Delaware Center for the Inland Bays","active":true,"usgs":false}],"preferred":false,"id":727336,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kroes, Daniel 0000-0001-9104-9077 dkroes@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-9077","contributorId":3830,"corporation":false,"usgs":true,"family":"Kroes","given":"Daniel","email":"dkroes@usgs.gov","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":727335,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brinson, Mark M.","contributorId":45761,"corporation":false,"usgs":true,"family":"Brinson","given":"Mark M.","affiliations":[],"preferred":false,"id":727337,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70195149,"text":"70195149 - 2017 - Overview of avian toxicity studies for the Deepwater Horizon Natural Resource Damage Assessment","interactions":[],"lastModifiedDate":"2018-04-02T12:53:28","indexId":"70195149","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1480,"text":"Ecotoxicology and Environmental Safety","active":true,"publicationSubtype":{"id":10}},"title":"Overview of avian toxicity studies for the Deepwater Horizon Natural Resource Damage Assessment","docAbstract":"<p><span>The Oil Pollution Act of 1990 establishes liability for injuries to natural resources because of the release or threat of release of oil. Assessment of injury to natural resources resulting from an oil spill and development and implementation of a plan for the restoration, rehabilitation, replacement or acquisition of natural resources to compensate for those injuries is accomplished through the Natural Resource Damage Assessment (NRDA) process. The NRDA process began within a week of the Deepwater Horizon oil spill, which occurred on April 20, 2010. During the spill, more than 8500 dead and impaired birds representing at least 93 avian species were collected. In addition, there were more than 3500 birds observed to be visibly oiled. While information in the literature at the time helped to identify some of the effects of oil on birds, it was not sufficient to fully characterize the nature and extent of the injuries to the thousands of live oiled birds, or to quantify those injuries in terms of effects on bird viability. As a result, the US Fish and Wildlife Service proposed various assessment activities to inform NRDA injury determination and quantification analyses associated with the Deepwater Horizon oil spill, including avian toxicity studies. The goal of these studies was to evaluate the effects of oral exposure to 1–20</span><span>&nbsp;</span><span>ml of artificially weathered Mississippi Canyon 252 oil kg bw</span><sup>-1</sup><span><span>&nbsp;</span>day</span><sup>-1</sup><span><span>&nbsp;</span>from one to 28 days or one to five applications of oil to 20% of the bird's surface area. It was thought that these exposure levels would not result in immediate or short-term mortality but might result in physiological effects that ultimately could affect avian survival, reproduction and health. These studies included oral dosing studies, an external dosing study, metabolic and flight performance studies and field-based flight studies. Results of these studies indicated changes in hematologic endpoints including formation of Heinz bodies and changes in cell counts. There were also effects on multiple organ systems, cardiac function and oxidative status. External oiling affected flight patterns and time spent during flight tasks indicating that migration may be affected by short-term repeated exposure to oil. Feather damage also resulted in increased heat loss and energetic demands. The papers in this special issue indicate that the combined effects of oil toxicity and feather effects in avian species, even in the case of relatively light oiling, can significantly affect the overall health of birds.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoenv.2017.05.014","usgsCitation":"Bursian, S.J., Alexander, C.R., Cacela, D., Cunningham, F.L., Dean, K.M., Dorr, B.S., Ellis, C.K., Godard-Codding, C.A., Guglielmo, C.G., Hanson-Dorr, K.C., Harr, K.E., Healy, K.A., Hooper, M.J., Horak, K.E., Isanhart, J.P., Kennedy, L.V., Link, J.E., Maggini, I., Moye, J.K., Perez, C.R., Pritsos, C.A., Shriner, S.A., Trust, K.A., and Tuttle, P.L., 2017, Overview of avian toxicity studies for the Deepwater Horizon Natural Resource Damage Assessment: Ecotoxicology and Environmental Safety, v. 146, p. 4-10, https://doi.org/10.1016/j.ecoenv.2017.05.014.","productDescription":"7 p.","startPage":"4","endPage":"10","ipdsId":"IP-078708","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":351360,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"146","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7d6fffe4b00f54eb2441cc","contributors":{"authors":[{"text":"Bursian, Steven J.","contributorId":170027,"corporation":false,"usgs":false,"family":"Bursian","given":"Steven","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":727164,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alexander, C. 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,{"id":70195141,"text":"70195141 - 2017 - Earthquake early Warning ShakeAlert system: West coast wide production prototype","interactions":[],"lastModifiedDate":"2018-02-08T13:31:36","indexId":"70195141","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Earthquake early Warning ShakeAlert system: West coast wide production prototype","docAbstract":"<p><span>Earthquake early warning (EEW) is an application of seismological science that can give people, as well as mechanical and electrical systems, up to tens of seconds to take protective actions before peak earthquake shaking arrives at a location. Since 2006, the U.S. Geological Survey has been working in collaboration with several partners to develop EEW for the United States. The goal is to create and operate an EEW system, called ShakeAlert, for the highest risk areas of the United States, starting with the West Coast states of California, Oregon, and Washington. In early 2016, the Production Prototype v.1.0 was established for California; then, in early 2017, v.1.2 was established for the West Coast, with earthquake notifications being distributed to a group of beta users in California, Oregon, and Washington. The new ShakeAlert Production Prototype was an outgrowth from an earlier demonstration EEW system that began sending test notifications to selected users in California in January 2012. ShakeAlert leverages the considerable physical, technical, and organizational earthquake monitoring infrastructure of the Advanced National Seismic System, a nationwide federation of cooperating seismic networks. When fully implemented, the ShakeAlert system may reduce damage and injury caused by large earthquakes, improve the nation’s resilience, and speed recovery.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220170140","usgsCitation":"Kohler, M.D., Cochran, E.S., Given, D.D., Guiwits, S., Neuhauser, D., Hensen, I., Hartog, J.R., Bodin, P., Kress, V., Thompson, S., Felizardo, C., Brody, J., Bhadha, R., and Schwarz, S., 2017, Earthquake early Warning ShakeAlert system: West coast wide production prototype: Seismological Research Letters, v. 89, no. 1, p. 99-107, https://doi.org/10.1785/0220170140.","productDescription":"9 p.","startPage":"99","endPage":"107","ipdsId":"IP-087138","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":461331,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.caltech.edu/CaltechAUTHORS:20171208-085056941","text":"External 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,{"id":70195391,"text":"70195391 - 2017 - Northern hemisphere jet stream positions indices as diagnostic tools for climate and ecosystem dynamics","interactions":[],"lastModifiedDate":"2018-02-13T12:46:17","indexId":"70195391","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1421,"text":"Earth Interactions","active":true,"publicationSubtype":{"id":10}},"title":"Northern hemisphere jet stream positions indices as diagnostic tools for climate and ecosystem dynamics","docAbstract":"<p><span>The latitudinal position of the Northern Hemisphere jet stream (NHJ) modulates the occurrence and frequency of extreme weather events. Precipitation anomalies in particular are associated with NHJ variability; the resulting floods and droughts can have considerable societal and economic impacts. This study develops a new climatology of the 300-hPa NHJ using a bottom-up approach based on seasonally explicit latitudinal NHJ positions. Four seasons with coherent NHJ patterns were identified (January–February, April–May, July–August, and October–November), along with 32 longitudinal sectors where the seasonal NHJ shows strong spatial coherence. These 32 longitudinal sectors were then used as NHJ position indices to examine the influence of seasonal NHJ position on the geographical distribution of NH precipitation and temperature variability and their link to atmospheric circulation pattern. The analyses show that the NHJ indices are related to broad-scale patterns in temperature and precipitation variability, in terrestrial vegetation productivity and spring phenology, and can be used as diagnostic/prognostic tools to link ecosystem and socioeconomic dynamics to upper-level atmospheric patterns.</span></p>","language":"English","publisher":"American Meteorological Society","doi":"10.1175/EI-D-16-0023.1","usgsCitation":"Belmecheri, S., Babst, F., Hudson, A.R., Betancourt, J.L., and Trouet, V., 2017, Northern hemisphere jet stream positions indices as diagnostic tools for climate and ecosystem dynamics: Earth Interactions, v. 21, p. 1-23, https://doi.org/10.1175/EI-D-16-0023.1.","productDescription":"Paper no. 8; 23 p.","startPage":"1","endPage":"23","ipdsId":"IP-084452","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":469283,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/ei-d-16-0023.1","text":"Publisher Index Page"},{"id":351528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-15","publicationStatus":"PW","scienceBaseUri":"5afee7aae4b0da30c1bfc33b","contributors":{"authors":[{"text":"Belmecheri, Soumaya 0000-0003-1258-2741","orcid":"https://orcid.org/0000-0003-1258-2741","contributorId":202418,"corporation":false,"usgs":false,"family":"Belmecheri","given":"Soumaya","email":"","affiliations":[{"id":36425,"text":"Laboratory of Tree Ring Research, University of Arizona. Tucson, Arizona, USA","active":true,"usgs":false}],"preferred":false,"id":728369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Babst, Flurin","contributorId":202419,"corporation":false,"usgs":false,"family":"Babst","given":"Flurin","email":"","affiliations":[{"id":36426,"text":"Laboratory of Tree Ring Research, University of Arizona. Tucson, Arizona, USA, Dendroclimatology Group, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland, W. Szafer Institute of Botany, Polish Academy of Sciences, Krakow, Poland","active":true,"usgs":false}],"preferred":false,"id":728370,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hudson, Amy R.","contributorId":202420,"corporation":false,"usgs":false,"family":"Hudson","given":"Amy","email":"","middleInitial":"R.","affiliations":[{"id":36427,"text":"Laboratory of Tree Ring Research, University of Arizona. Tucson, Arizona, USA, School of Natural Resources and the Environment, University of Arizona. Tucson, Arizona, USA","active":true,"usgs":false}],"preferred":false,"id":728371,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":728368,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Trouet, Valerie","contributorId":197082,"corporation":false,"usgs":false,"family":"Trouet","given":"Valerie","email":"","affiliations":[],"preferred":false,"id":728372,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70195170,"text":"70195170 - 2017 - Developing enterprise tools and capacities for large-scale natural resource monitoring: A visioning workshop","interactions":[],"lastModifiedDate":"2018-02-08T16:05:38","indexId":"70195170","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Developing enterprise tools and capacities for large-scale natural resource monitoring: A visioning workshop","docAbstract":"In October 2016, the U.S. Geological Survey (USGS), in collaboration with the Pacific Northwest Aquatic Monitoring Partnership (PNAMP, www.pnamp.org), convened a 30-person workshop, https://www.pnamp.org/event/5509, to identify and prioritize development of enterprise systems for programs that monitor the status and trends of species populations and their terrestrial, aquatic, and marine habitats. Participants included representatives from federal natural resource research and land management organizations and nongovernmental organizations that manage natural resource monitoring programs.\nObjectives of the workshop were:  1) identify resources that support natural resource monitoring programs working across the data life cycle; 2) prioritize desired capacities and tools to facilitate monitoring design and implementation; 3) identify standards and best practices that improve discovery, accessibility, and interoperability of data across programs and jurisdictions; and 4) contribute to an emerging community of practice focused on natural resource monitoring.","language":"English","publisher":"Pacific Northwest Aquatic Monitoring Partnership","usgsCitation":"Bayer, J.M., Weltzin, J., and Scully, R.A., 2017, Developing enterprise tools and capacities for large-scale natural resource monitoring: A visioning workshop, v, 44 p.","productDescription":"v, 44 p.","numberOfPages":"49","ipdsId":"IP-092921","costCenters":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"links":[{"id":351384,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":351133,"type":{"id":15,"text":"Index Page"},"url":"https://www.pnamp.org/document/5990"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7d6ffee4b00f54eb2441c6","contributors":{"authors":[{"text":"Bayer, Jennifer M. 0000-0001-9564-3110 jbayer@usgs.gov","orcid":"https://orcid.org/0000-0001-9564-3110","contributorId":3393,"corporation":false,"usgs":true,"family":"Bayer","given":"Jennifer","email":"jbayer@usgs.gov","middleInitial":"M.","affiliations":[{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true},{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":727287,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weltzin, Jake 0000-0001-8641-6645 jweltzin@usgs.gov","orcid":"https://orcid.org/0000-0001-8641-6645","contributorId":196323,"corporation":false,"usgs":true,"family":"Weltzin","given":"Jake","email":"jweltzin@usgs.gov","affiliations":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":727286,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scully, Rebecca A. 0000-0003-0704-8907 rscully@usgs.gov","orcid":"https://orcid.org/0000-0003-0704-8907","contributorId":191891,"corporation":false,"usgs":true,"family":"Scully","given":"Rebecca","email":"rscully@usgs.gov","middleInitial":"A.","affiliations":[{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true},{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":727288,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70195163,"text":"70195163 - 2017 - Crustal permeability","interactions":[],"lastModifiedDate":"2018-02-07T14:38:15","indexId":"70195163","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Crustal permeability","docAbstract":"<p><span>Permeability is the dominant parameter in most hydrogeologic studies. There is abundant evidence for dynamic variations in permeability in time as well as space, and throughout the crust. Whether this dynamic behavior should be included in quantitative models depends on the problem at hand.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10040-017-1663-4","usgsCitation":"Ingebritsen, S.E., and Gleeson, T., 2017, Crustal permeability: Hydrogeology Journal, v. 25, no. 8, p. 2221-2224, https://doi.org/10.1007/s10040-017-1663-4.","productDescription":"4 p.","startPage":"2221","endPage":"2224","ipdsId":"IP-087288","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":469258,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10040-017-1663-4","text":"Publisher Index Page"},{"id":351288,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-02","publicationStatus":"PW","scienceBaseUri":"5a7c1e78e4b00f54eb229317","contributors":{"authors":[{"text":"Ingebritsen, Steven E. 0000-0001-6917-9369 seingebr@usgs.gov","orcid":"https://orcid.org/0000-0001-6917-9369","contributorId":818,"corporation":false,"usgs":true,"family":"Ingebritsen","given":"Steven","email":"seingebr@usgs.gov","middleInitial":"E.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":727263,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gleeson, Tom","contributorId":42694,"corporation":false,"usgs":false,"family":"Gleeson","given":"Tom","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":727264,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70195007,"text":"70195007 - 2017 - Domestic cat","interactions":[],"lastModifiedDate":"2018-02-13T15:04:19","indexId":"70195007","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Domestic cat","docAbstract":"The familiar domestic cat is not native to southern California and is considered an invasive spe-cies by biologists and conservation organizations. When owners abandon their cats, wild or feral populations may arise, as they have in San Diego County. Cats’ pelage color, tail length, and hair thickness vary widely, given human fascination with breeding diverse phenotypes, but all have a typical felid body with upright ears, forward-looking eyes adapted for nocturnal foraging, protractible claws, and a sinuous, flexible body. Cats allowed outdoors and feral cats kill and eat a wide variety of vertebrates such as small mammals, birds, and reptiles","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"San Diego County Mammal Atlas","language":"English","publisher":"San Diego Society of Natural History","usgsCitation":"Diffendorfer, J., 2017, Domestic cat, chap. <i>of</i> San Diego County Mammal Atlas, p. 272-275.","productDescription":"4 p.","startPage":"272","endPage":"275","ipdsId":"IP-075095","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":351550,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":351549,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://shop.sdnhm.org/a567/san-diego-county-mammal-atlas.html"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee7abe4b0da30c1bfc347","contributors":{"authors":[{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":726548,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70195025,"text":"70195025 - 2017 - Characters in Arctostaphylos taxonomy","interactions":[],"lastModifiedDate":"2018-02-05T10:54:01","indexId":"70195025","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2639,"text":"Madroño","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Characters in <i>Arctostaphylos</i> taxonomy","title":"Characters in Arctostaphylos taxonomy","docAbstract":"<p><span>There is value in understanding the past and how it has affected the present. Science focuses on empirical findings, and we know that our prior experiences and those of our predecessors play important roles in determining how we interpret the present. We learn from accomplishments and foibles of predecessors and appreciate the real life experiences we have gone through. In our studies of the genus&nbsp;</span><i>Arctostaphylos</i><span><span>&nbsp;</span>Adans. we have been struck by the fascinating stories surrounding taxonomists who have played roles in the development of our current understanding of the group. In addition to providing insights, they sometimes provide humor and lessons on the value of competition versus collaboration. We offer this history of the humans that forged the taxonomy behind<span>&nbsp;</span></span><i>Arctostaphylos</i><span><span>&nbsp;</span>classification in this light.</span></p>","language":"English","publisher":"California Botanical Society","doi":"10.3120/0024-9637-64.4.138","usgsCitation":"Keeley, J.E., Parker, V.T., and Vasey, M.C., 2017, Characters in Arctostaphylos taxonomy: Madroño, v. 64, no. 4, p. 138-153, https://doi.org/10.3120/0024-9637-64.4.138.","productDescription":"16 p.","startPage":"138","endPage":"153","ipdsId":"IP-081515","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":469285,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.biodiversitylibrary.org/part/388898","text":"External Repository"},{"id":351005,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"64","issue":"4","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a797b93e4b00f54eb1f5e14","contributors":{"authors":[{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":726632,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parker, V. Thomas","contributorId":167557,"corporation":false,"usgs":false,"family":"Parker","given":"V.","email":"","middleInitial":"Thomas","affiliations":[{"id":24748,"text":"San Francisco State University, San Francisco, CA","active":true,"usgs":false}],"preferred":false,"id":726633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vasey, Michael C.","contributorId":167558,"corporation":false,"usgs":false,"family":"Vasey","given":"Michael","email":"","middleInitial":"C.","affiliations":[{"id":24748,"text":"San Francisco State University, San Francisco, CA","active":true,"usgs":false}],"preferred":false,"id":726634,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70196741,"text":"70196741 - 2017 - Sampling bees in tropical forests and agroecosystems: A review","interactions":[],"lastModifiedDate":"2018-04-30T10:18:21","indexId":"70196741","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2356,"text":"Journal of Insect Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Sampling bees in tropical forests and agroecosystems: A review","docAbstract":"<p><span>Bees are the predominant pollinating taxa, providing a critical ecosystem service upon which many angiosperms rely for successful reproduction. Available data suggests that bee populations worldwide are declining, but scarce data in tropical regions precludes assessing their status and distribution, impact on ecological services, and response to management actions. Herein, we reviewed &gt;150 papers that used six common sampling methods (pan traps, baits, Malaise traps, sweep nets, timed observations and aspirators) to better understand their strengths and weaknesses, and help guide method selection to meet research objectives and development of multi-species monitoring approaches. Several studies evaluated the effectiveness of sweep nets, pan traps, and malaise traps, but only one evaluated timed observations, and none evaluated aspirators. Only five studies compared two or more of the remaining four sampling methods to each other. There was little consensus regarding which method would be most reliable for sampling multiple species. However, we recommend that if the objective of the study is to estimate abundance or species richness, malaise traps, pan traps and sweep nets are the most effective sampling protocols in open tropical systems; conversely, malaise traps, nets and baits may be the most effective in forests. Declining bee populations emphasize the critical need in method standardization and reporting precision. Moreover, we recommend reporting a catchability coefficient, a measure of the interaction between the resource (bee) abundance and catching effort. Melittologists could also consider existing methods, such as occupancy models, to quantify changes in distribution and abundance after modeling heterogeneity in trapping probability, and consider the possibility of developing monitoring frameworks that draw from multiple sources of data.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10841-017-0018-8","usgsCitation":"Prado, S.G., Ngo, H.T., Florez, J.A., and Collazo, J., 2017, Sampling bees in tropical forests and agroecosystems: A review: Journal of Insect Conservation, v. 21, no. 5-6, p. 753-770, https://doi.org/10.1007/s10841-017-0018-8.","productDescription":"18 p.","startPage":"753","endPage":"770","ipdsId":"IP-082870","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":469286,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10841-017-0018-8","text":"Publisher Index Page"},{"id":353848,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"5-6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-22","publicationStatus":"PW","scienceBaseUri":"5afee79de4b0da30c1bfc30c","contributors":{"authors":[{"text":"Prado, Sara G.","contributorId":204504,"corporation":false,"usgs":false,"family":"Prado","given":"Sara","email":"","middleInitial":"G.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":734202,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ngo, Hien T.","contributorId":204505,"corporation":false,"usgs":false,"family":"Ngo","given":"Hien","email":"","middleInitial":"T.","affiliations":[{"id":36950,"text":"United Nations, Bonn","active":true,"usgs":false}],"preferred":false,"id":734203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Florez, Jaime A.","contributorId":204506,"corporation":false,"usgs":false,"family":"Florez","given":"Jaime","email":"","middleInitial":"A.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":734204,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collazo, Jaime A. 0000-0002-1816-7744 jaime_collazo@usgs.gov","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":173448,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime A.","email":"jaime_collazo@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":734201,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70194743,"text":"70194743 - 2017 - Heterogeneous responses of temperate-zone amphibian populations to climate change complicates conservation planning","interactions":[],"lastModifiedDate":"2017-12-15T09:38:22","indexId":"70194743","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","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":"Heterogeneous responses of temperate-zone amphibian populations to climate change complicates conservation planning","docAbstract":"<p><span>The pervasive and unabated nature of global amphibian declines suggests common demographic responses to a given driver, and quantification of major drivers and responses could inform broad-scale conservation actions. We explored the influence of climate on demographic parameters (i.e., changes in the probabilities of survival and recruitment) using 31 datasets from temperate zone amphibian populations (North America and Europe) with more than a decade of observations each. There was evidence for an influence of climate on population demographic rates, but the direction and magnitude of responses to climate drivers was highly variable among taxa and among populations within taxa. These results reveal that climate drivers interact with variation in life-history traits and population-specific attributes resulting in a diversity of responses. This heterogeneity complicates the identification of conservation ‘rules of thumb’ for these taxa, and supports the notion of local focus as the most effective approach to overcome global-scale conservation challenges.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41598-017-17105-7","usgsCitation":"Muths, E.L., Chambert, T.A., Schmidt, B.R., Miller, D., Hossack, B.R., Joly, P., Grolet, O., Green, D.M., Pilliod, D.S., Cheylan, M., Fisher, R.N., McCaffery, R.M., Adams, M., Palen, W., Arntzen, J.W., Garwood, J., Fellers, G.M., Thirion, J., Grant, E.H., and Besnard, A., 2017, Heterogeneous responses of temperate-zone amphibian populations to climate change complicates conservation planning: Scientific Reports, v. 7, p. 1-10, https://doi.org/10.1038/s41598-017-17105-7.","productDescription":"Article 17102; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-073406","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":469277,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-017-17105-7","text":"Publisher Index Page"},{"id":350027,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"France, Germany, United States","volume":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-06","publicationStatus":"PW","scienceBaseUri":"5a60faf6e4b06e28e9c22a16","contributors":{"authors":[{"text":"Muths, Erin L. 0000-0002-5498-3132 muthse@usgs.gov","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":1260,"corporation":false,"usgs":true,"family":"Muths","given":"Erin","email":"muthse@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":725093,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chambert, Thierry A. 0000-0002-9450-9080 tchambert@usgs.gov","orcid":"https://orcid.org/0000-0002-9450-9080","contributorId":5973,"corporation":false,"usgs":true,"family":"Chambert","given":"Thierry","email":"tchambert@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":725094,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, B. R. 0000-0002-4023-1001","orcid":"https://orcid.org/0000-0002-4023-1001","contributorId":201362,"corporation":false,"usgs":false,"family":"Schmidt","given":"B.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":725097,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, D. A. W.","contributorId":201361,"corporation":false,"usgs":false,"family":"Miller","given":"D. A. W.","affiliations":[],"preferred":false,"id":725096,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hossack, Blake R. 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":1177,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":725098,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Joly, P.","contributorId":201363,"corporation":false,"usgs":false,"family":"Joly","given":"P.","email":"","affiliations":[],"preferred":false,"id":725099,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grolet, O.","contributorId":201364,"corporation":false,"usgs":false,"family":"Grolet","given":"O.","email":"","affiliations":[],"preferred":false,"id":725100,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Green, D. M. david_green@usgs.gov","contributorId":201365,"corporation":false,"usgs":false,"family":"Green","given":"D.","email":"david_green@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":false,"id":725101,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pilliod, David S. 0000-0003-4207-3518 dpilliod@usgs.gov","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":149254,"corporation":false,"usgs":true,"family":"Pilliod","given":"David","email":"dpilliod@usgs.gov","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":725102,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cheylan, M.","contributorId":201366,"corporation":false,"usgs":false,"family":"Cheylan","given":"M.","affiliations":[],"preferred":false,"id":725103,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":725104,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"McCaffery, R. M.","contributorId":201367,"corporation":false,"usgs":false,"family":"McCaffery","given":"R.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":725105,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Adams, M. J.","contributorId":40142,"corporation":false,"usgs":true,"family":"Adams","given":"M. J.","affiliations":[],"preferred":false,"id":725139,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Palen, W. J.","contributorId":201368,"corporation":false,"usgs":false,"family":"Palen","given":"W. J.","affiliations":[],"preferred":false,"id":725106,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Arntzen, J. W.","contributorId":201369,"corporation":false,"usgs":false,"family":"Arntzen","given":"J.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":725107,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Garwood, J.","contributorId":201370,"corporation":false,"usgs":false,"family":"Garwood","given":"J.","email":"","affiliations":[],"preferred":false,"id":725108,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Fellers, Gary M. 0000-0003-4092-0285 gary_fellers@usgs.gov","orcid":"https://orcid.org/0000-0003-4092-0285","contributorId":3150,"corporation":false,"usgs":true,"family":"Fellers","given":"Gary","email":"gary_fellers@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":725109,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Thirion, J. M.","contributorId":201371,"corporation":false,"usgs":false,"family":"Thirion","given":"J. M.","affiliations":[],"preferred":false,"id":725110,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Besnard, A.","contributorId":201372,"corporation":false,"usgs":false,"family":"Besnard","given":"A.","affiliations":[],"preferred":false,"id":725111,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Grant, Evan H. Campbell 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":201360,"corporation":false,"usgs":true,"family":"Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H. Campbell","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":725095,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}}
,{"id":70194482,"text":"70194482 - 2017 - Case study - Dynamic pressure-limited capacity and costs of CO2 storage in the Mount Simon sandstone","interactions":[],"lastModifiedDate":"2018-12-20T14:30:03","indexId":"70194482","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"displayTitle":"Case study - Dynamic pressure-limited capacity and costs of CO<sub>2</sub> storage in the Mount Simon sandstone","title":"Case study - Dynamic pressure-limited capacity and costs of CO2 storage in the Mount Simon sandstone","docAbstract":"<p><span>Widespread deployment of carbon capture and storage (CCS) is likely necessary to be able to satisfy baseload electricity demand, to maintain diversity in the energy mix, and to achieve climate and other objectives at the lowest cost. If all of the carbon dioxide (CO<sub>2</sub>) emissions from stationary sources (such as fossil-fuel burning power plants, and other industrial plants) in the United States needed to be captured and stored, it could be possible to store only a small fraction of this CO<sub>2</sub> in oil and natural gas reservoirs, including as a result of CO<sub>2</sub> utilization for enhanced oil recovery. The vast majority would have to be stored in saline-filled reservoirs (Dahowski et al., 2005). Given a lack of long-term commercial-scale CCS projects, there is considerable uncertainty in the risks, dynamic capacity, and their cost implications for geologic storage of CO<sub>2</sub>. Pressure buildup in the storage reservoir is expected to be a primary source of risk associated with CO<sub>2</sub> storage, and could severely limit CO<sub>2</sub> injection rates (dynamic storage capacities). Most cost estimates for commercial-scale deployment of CCS estimate CO<sub>2</sub> storage costs under assumed availability of a theoretical capacity to store tens, hundreds, or even thousands of gigatons of CO<sub>2</sub>, without considering geologic heterogeneities, pressure limitations, or the time dimension. This could lead to underestimation of the costs of CO<sub>2</sub> storage (Anderson, 2017). This paper considers the impacts of pressure limitations and geologic heterogeneity on the dynamic CO<sub>2</sub> storage capacity and storage (injection) costs. In the U.S. Geological Survey (USGS)’s National Assessment of Geologic CO<sub>2</sub> Storage Resources (USGS, 2013), the mean estimate of the theoretical storage capacity in the Mount Simon Sandstone was about 94 billion metric tons of CO<sub>2</sub>. However, our results suggest that the pressure-limited capacity after 50 years of injection could be only about 4% of the theoretical geologic storage capacity in this formation. Because this is far less than emissions of CO<sub>2</sub> from stationary sources in the region around the Mount Simon Sandstone, the costs to accommodate the potential annual demand for CO<sub>2</sub> storage in this formation could be significantly greater than current estimates. Our results could have implications for how long and to what extent decision makers can expect to be able to deploy CCS before transitioning to other low- or zero-carbon energy technologies.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"35th USAEE/IAEE North American Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"USAEE","usgsCitation":"Anderson, S.T., and Jahediesfanjani, H., 2017, Case study - Dynamic pressure-limited capacity and costs of CO2 storage in the Mount Simon sandstone, <i>in</i> 35th USAEE/IAEE North American Conference, 2 p.","productDescription":"2 p.","ipdsId":"IP-088967","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":349751,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349543,"type":{"id":15,"text":"Index Page"},"url":"https://www.usaee.org/USAEE2017/program_concurrent.aspx#3"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60faf8e4b06e28e9c22a3e","contributors":{"authors":[{"text":"Anderson, Steven T. 0000-0003-3481-3424 sanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-3481-3424","contributorId":2532,"corporation":false,"usgs":true,"family":"Anderson","given":"Steven","email":"sanderson@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":724050,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jahediesfanjani, Hossein 0000-0001-6281-5166","orcid":"https://orcid.org/0000-0001-6281-5166","contributorId":201000,"corporation":false,"usgs":false,"family":"Jahediesfanjani","given":"Hossein","affiliations":[],"preferred":false,"id":724051,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70197068,"text":"70197068 - 2017 - How the solid earth works","interactions":[],"lastModifiedDate":"2018-06-12T13:40:07","indexId":"70197068","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"How the solid earth works","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Dynamic geology of the Northern Cordillera (Alaska and western Canada) and adjacent marine areas: Tectonics, hazards, and resources","language":"English","publisher":"University of Alaska, Fairbanks","usgsCitation":"Price, R.A., 2017, How the solid earth works, chap. <i>of</i> Dynamic geology of the Northern Cordillera (Alaska and western Canada) and adjacent marine areas: Tectonics, hazards, and resources, E-book.","productDescription":"E-book","ipdsId":"IP-074022","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":354953,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":354207,"type":{"id":15,"text":"Index Page"},"url":"https://scholarworks.alaska.edu/handle/11122/7994"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e62fe4b060350a15d266","contributors":{"editors":[{"text":"Bundtzen, Thomas K.","contributorId":83560,"corporation":false,"usgs":true,"family":"Bundtzen","given":"Thomas K.","affiliations":[],"preferred":false,"id":737767,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Nokleberg, Warren J. 0000-0002-1574-8869 wnokleberg@usgs.gov","orcid":"https://orcid.org/0000-0002-1574-8869","contributorId":2077,"corporation":false,"usgs":true,"family":"Nokleberg","given":"Warren","email":"wnokleberg@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":737768,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Price, Raymond A.","contributorId":205543,"corporation":false,"usgs":false,"family":"Price","given":"Raymond","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":737769,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Scholl, David W. 0000-0001-6500-6962 dscholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6500-6962","contributorId":3738,"corporation":false,"usgs":true,"family":"Scholl","given":"David","email":"dscholl@usgs.gov","middleInitial":"W.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":737770,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Stone, David B.","contributorId":65324,"corporation":false,"usgs":true,"family":"Stone","given":"David B.","affiliations":[],"preferred":false,"id":737771,"contributorType":{"id":2,"text":"Editors"},"rank":5}],"authors":[{"text":"Price, Raymond A.","contributorId":205543,"corporation":false,"usgs":false,"family":"Price","given":"Raymond","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":737766,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70196469,"text":"70196469 - 2017 - LAGOS-NE: a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of US lakes","interactions":[],"lastModifiedDate":"2018-04-10T10:56:16","indexId":"70196469","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5091,"text":"GigaScience","active":true,"publicationSubtype":{"id":10}},"title":"LAGOS-NE: a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of US lakes","docAbstract":"<p>Understanding the factors that affect water quality and the ecological services provided by freshwater ecosystems is an urgent global environmental issue. Predicting how water quality will respond to global changes not only requires water quality data, but also information about the ecological context of individual water bodies across broad spatial extents. Because lake water quality is usually sampled in limited geographic regions, often for limited time periods, assessing the environmental controls of water quality requires compilation of many data sets across broad regions and across time into an integrated database. LAGOS-NE accomplishes this goal for lakes in the northeastern-most 17 US states.</p><p>LAGOS-NE contains data for 51 101 lakes and reservoirs larger than 4 ha in 17 lake-rich US states. The database includes 3 data modules for: lake location and physical characteristics for all lakes; ecological context (i.e., the land use, geologic, climatic, and hydrologic setting of lakes) for all lakes; and in situ measurements of lake water quality for a subset of the lakes from the past 3 decades for approximately 2600–12 000 lakes depending on the variable. The database contains approximately 150 000 measures of total phosphorus, 200 000 measures of chlorophyll, and 900 000 measures of Secchi depth. The water quality data were compiled from 87 lake water quality data sets from federal, state, tribal, and non-profit agencies, university researchers, and citizen scientists. This database is one of the largest and most comprehensive databases of its type because it includes both in situ measurements and ecological context data. Because ecological context can be used to study a variety of other questions about lakes, streams, and wetlands, this database can also be used as the foundation for other studies of freshwaters at broad spatial and ecological scales.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/gigascience/gix101","usgsCitation":"Soranno, P.A., Bacon, L.C., Beauchene, M., Bednar, K.E., Bissell, E.G., Boudreau, C.K., Boyer, M.G., Bremigan, M.T., Carpenter, S.R., Carr, J.W., Cheruvelil, K.S., Christel, S.T., Claucherty, M., Collins, S.M., Conroy, J.D., Downing, J.A., Dukett, J., Fergus, C.E., Filstrup, C.T., Funk, C., Gonzalez, M.J., Green, L.T., Gries, C., Halfman, J.D., Hamilton, S.K., Hanson, P.C., Henry, E.N., Herron, E.M., Hockings, C., Jackson, J.R., Jacobson-Hedin, K., Janus, L.L., Jones, W.W., Jones, J., Keson, C.M., King, K.B., Kishbaugh, S.A., Lapierre, J., Lathrop, B., Latimore, J.A., Lee, Y., Lottig, N.R., Lynch, J.A., Matthews, L.J., McDowell, W.H., Moore, K.E., Neff, B., Nelson, S.J., Oliver, S., Pace, M.L., Pierson, D.C., Poisson, A.C., Pollard, A.I., Post, D.M., Reyes, P.O., Rosenberry, D., Roy, K.M., Rudstam, L.G., Sarnelle, O., Schuldt, N.J., Scott, C.E., Skaff, N.K., Smith, N.J., Spinelli, N.R., Stachelek, J.J., Stanley, E.H., Stoddard, J.L., Stopyak, S.B., Stow, C.A., Tallant, J.M., Tan, P., Thorpe, A.P., Vanni, M.J., Wagner, T., Watkins, G., Weathers, K.C., Webster, K.E., White, J., Wilmes, M.K., and Yuan, S., 2017, LAGOS-NE: a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of US lakes: GigaScience, v. 6, no. 12, p. 1-22, https://doi.org/10.1093/gigascience/gix101.","productDescription":"22 p.","startPage":"1","endPage":"22","ipdsId":"IP-088165","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":469264,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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,{"id":70196590,"text":"70196590 - 2017 - Canyons microbiology studies","interactions":[],"lastModifiedDate":"2020-08-20T17:42:02.95172","indexId":"70196590","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5709,"text":"OCS Study","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"BOEM 2017-060","chapter":"12","title":"Canyons microbiology studies","docAbstract":"<p>Off the eastern coast of the United States, several deep canyons cut through the continental shelf, acting like funnels to move sediment from the shelf out to the deep seafloor. Exposed rock outcrops and ledges along the walls of these canyons provide important habitat for deepsea corals and sponges. Although a few scientific expeditions have visited these canyons in the 1970s (Hecker and Blechschmidt 1979, Hecker et al. 1980), their purpose was mainly to map the contours and capture photographs of the bottom using manned submersibles and towed cameras. Our knowledge of the biodiversity in these complex ecosystems is limited; we know little about the macrofauna (e.g., fishes, crabs, sponges, and deepsea corals) and even less about the microbiota.</p><p>The research described in this report was conducted from 2011 to 2015 as part of the Bureau of Ocean Energy Management (BOEM) study, entitled “Atlantic Deepwater Canyons” study. This work used molecular and microbiological techniques to examine the microbial ecology and diversity associated with Baltimore and Norfolk canyons. Specifically, this work focused on the microbial ecology of four species of octocorals (Acanthogorgia aspera, Anthothela grandiflora, Paramuricea placomus, and Primnoa resedaeformis), the microbial diversity in sediments within and outside the canyons, and a settling plate experiment designed to characterize microbial biofilm formation on a variety of hard substrates.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Exploration and research of Mid-Atlantic deepwater hard bottom habitats and shipwrecks with emphasis on canyons and coral communities: Atlantic Deepwater Canyons Study Vol. I","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"Bureau of Ocean Energy Management","usgsCitation":"Kellogg, C.A., and Lawler, S.N., 2017, Canyons microbiology studies: OCS Study BOEM 2017-060, 31 p.","productDescription":"31 p.","startPage":"579","endPage":"609","ipdsId":"IP-079790","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":354960,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":353603,"type":{"id":15,"text":"Index Page"},"url":"https://www.boem.gov/espis/5/5655.pdf"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e62fe4b060350a15d26e","contributors":{"authors":[{"text":"Kellogg, Christina A. 0000-0002-6492-9455 ckellogg@usgs.gov","orcid":"https://orcid.org/0000-0002-6492-9455","contributorId":391,"corporation":false,"usgs":true,"family":"Kellogg","given":"Christina","email":"ckellogg@usgs.gov","middleInitial":"A.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":733724,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lawler, Stephanie N.","contributorId":149424,"corporation":false,"usgs":false,"family":"Lawler","given":"Stephanie","email":"","middleInitial":"N.","affiliations":[{"id":17733,"text":"University of South Florida, St. Petersburg, FL","active":true,"usgs":false}],"preferred":false,"id":733725,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70197079,"text":"70197079 - 2017 - Meeting the challenge of interacting threats in freshwater ecosystems: A call to scientists and managers","interactions":[],"lastModifiedDate":"2018-05-16T16:26:16","indexId":"70197079","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3888,"text":"Elementa: Science of the Anthropocene","active":true,"publicationSubtype":{"id":10}},"title":"Meeting the challenge of interacting threats in freshwater ecosystems: A call to scientists and managers","docAbstract":"<p><span>Human activities create threats that have consequences for freshwater ecosystems and, in most watersheds, observed ecological responses are the result of complex interactions among multiple threats and their associated ecological alterations. Here we discuss the value of considering multiple threats in research and management, offer suggestions for filling knowledge gaps, and provide guidance for addressing the urgent management challenges posed by multiple threats in freshwater ecosystems. There is a growing literature assessing responses to multiple alterations, and we build off this background to identify three areas that require greater attention: linking observed alterations to threats, understanding when and where threats overlap, and choosing metrics that best quantify the effects of multiple threats. Advancing science in these areas will help us understand existing ecosystem conditions and predict future risk from multiple threats. Because addressing the complex issues and novel ecosystems that arise from the interaction of multiple threats in freshwater ecosystems represents a significant management challenge, and the risks of management failure include loss of biodiversity, ecological goods, and ecosystem services, we also identify actions that could improve decision-making and management outcomes. These actions include drawing insights from management of individual threats, using threat attributes (e.g., causes and spatio-temporal dynamics) to identify suitable management approaches, testing management strategies that are likely to be successful despite uncertainties about the nature of interactions among threats, avoiding unintended consequences, and maximizing conservation benefits. We also acknowledge the broadly applicable challenges of decision-making within a socio-political and economic framework, and suggest that multidisciplinary teams will be needed to innovate solutions to meet the current and future challenge of interacting threats in freshwater ecosystems.</span><span class=\"Apple-converted-space\">&nbsp;</span></p>","language":"English","publisher":"University of California Press","doi":"10.1525/elementa.256","usgsCitation":"Craig, L.S., Olden, J., Arthington, A., Entrekin, S., Hawkins, C.P., Kelly, J.J., Kennedy, T., Maitland, B.M., Rosi, E.J., Roy, A.H., Strayer, D.L., Tank, J., West, A.O., and Wooten, M.S., 2017, Meeting the challenge of interacting threats in freshwater ecosystems: A call to scientists and managers: Elementa: Science of the Anthropocene, Article 72; 15 p., https://doi.org/10.1525/elementa.256.","productDescription":"Article 72; 15 p.","ipdsId":"IP-088263","costCenters":[{"id":199,"text":"Coop Res Unit 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,{"id":70197073,"text":"70197073 - 2017 - Multi-level multi-task learning for modeling cross-scale interactions in nested geospatial data","interactions":[],"lastModifiedDate":"2018-05-21T14:18:05","indexId":"70197073","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Multi-level multi-task learning for modeling cross-scale interactions in nested geospatial data","docAbstract":"<p><span>Predictive modeling of nested geospatial data is a challenging problem as the models must take into account potential interactions among variables defined at different spatial scales. These cross-scale interactions, as they are commonly known, are particularly important to understand relationships among ecological properties at macroscales. In this paper, we present a novel, multi-level multi-task learning framework for modeling nested geospatial data in the lake ecology domain. Specifically, we consider region-specific models to predict lake water quality from multi-scaled factors. Our framework enables distinct models to be developed for each region using both its local and regional information. The framework also allows information to be shared among the region-specific models through their common set of latent factors. Such information sharing helps to create more robust models especially for regions with limited or no training data. In addition, the framework can automatically determine cross-scale interactions between the regional variables and the local variables that are nested within them. Our experimental results show that the proposed framework outperforms all the baseline methods in at least 64% of the regions for 3 out of 4 lake water quality datasets evaluated in this study. Furthermore, the latent factors can be clustered to obtain a new set of regions that is more aligned with the response variables than the original regions that were defined a priori from the ecology domain.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"2017 IEEE International Conference on Data Mining (ICDM)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"IEEE","doi":"10.1109/ICDM.2017.154","usgsCitation":"Yuan, S., Zhou, J., Tan, P., Fergus, E., Wagner, T., and Sorrano, P., 2017, Multi-level multi-task learning for modeling cross-scale interactions in nested geospatial data, <i>in</i> 2017 IEEE International Conference on Data Mining (ICDM), https://doi.org/10.1109/ICDM.2017.154.","ipdsId":"IP-084708","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":354362,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b155e00e4b092d9651e1ba4","contributors":{"authors":[{"text":"Yuan, Shuai","contributorId":204925,"corporation":false,"usgs":false,"family":"Yuan","given":"Shuai","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":735482,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhou, Jiayu","contributorId":204926,"corporation":false,"usgs":false,"family":"Zhou","given":"Jiayu","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":735483,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tan, Pang-Ning","contributorId":204927,"corporation":false,"usgs":false,"family":"Tan","given":"Pang-Ning","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":735484,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fergus, Emi","contributorId":204928,"corporation":false,"usgs":false,"family":"Fergus","given":"Emi","email":"","affiliations":[{"id":37008,"text":"National Research Council","active":true,"usgs":false}],"preferred":false,"id":735485,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":735481,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sorrano, Patricia","contributorId":204929,"corporation":false,"usgs":false,"family":"Sorrano","given":"Patricia","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":735486,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70191922,"text":"70191922 - 2017 - CO2 cycle","interactions":[],"lastModifiedDate":"2017-12-18T11:13:13","indexId":"70191922","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"displayTitle":"CO<sub>2</sub> cycle","title":"CO2 cycle","docAbstract":"This chapter discusses the use of models, observations, and laboratory experiments to understand the cycling of CO2 between the atmosphere and seasonal Martian polar caps. This cycle is primarily controlled by the polar heat budget, and thus the emphasis here is on its components, including solar and infrared radiation, the effect of clouds (water- and CO2-ice), atmospheric transport, and subsurface heat conduction. There is a discussion about cap properties including growth and regression rates, albedos and emissivities, grain sizes and dust and/or water-ice contamination, and curious features like cold gas jets and araneiform (spider-shaped) terrain. The nature of the residual south polar cap is discussed as well as its long-term stability and ability to buffer atmospheric pressures. There is also a discussion of the consequences of the CO2 cycle as revealed by the non-condensable gas enrichment observed by Odyssey and modeled by various groups.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The atmosphere and climate of Mars","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Cambridge University Press","doi":"10.1017/9781139060172.012","usgsCitation":"Titus, T.N., Byrne, S., Colaprete, A., Forget, F., Michaels, T.I., and Prettyman, T.H., 2017, CO2 cycle, chap. <i>of</i> The atmosphere and climate of Mars, p. 374-404, https://doi.org/10.1017/9781139060172.012.","productDescription":"31 p.","startPage":"374","endPage":"404","ipdsId":"IP-050666","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":350068,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60faf9e4b06e28e9c22a61","contributors":{"authors":[{"text":"Titus, Timothy N. 0000-0003-0700-4875 ttitus@usgs.gov","orcid":"https://orcid.org/0000-0003-0700-4875","contributorId":146,"corporation":false,"usgs":true,"family":"Titus","given":"Timothy","email":"ttitus@usgs.gov","middleInitial":"N.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":713710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Byrne, Shane","contributorId":192609,"corporation":false,"usgs":false,"family":"Byrne","given":"Shane","email":"","affiliations":[],"preferred":false,"id":713711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Colaprete, Anthony","contributorId":197548,"corporation":false,"usgs":false,"family":"Colaprete","given":"Anthony","email":"","affiliations":[],"preferred":false,"id":713712,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Forget, Francois","contributorId":197549,"corporation":false,"usgs":false,"family":"Forget","given":"Francois","email":"","affiliations":[],"preferred":false,"id":713713,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Michaels, Timothy I.","contributorId":197550,"corporation":false,"usgs":false,"family":"Michaels","given":"Timothy","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":713714,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Prettyman, Thomas H.","contributorId":197551,"corporation":false,"usgs":false,"family":"Prettyman","given":"Thomas","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":713715,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70192850,"text":"70192850 - 2017 - The sand dunes of the Colorado River, Grand Canyon, USA","interactions":[],"lastModifiedDate":"2018-03-21T15:44:48","indexId":"70192850","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The sand dunes of the Colorado River, Grand Canyon, USA","docAbstract":"<p>The flow (Wright and Kaplinski, 2011), suspended sediment transport (Topping et al., 2000), sediment storage (Grams et al., 2013), and sedimentology of sandbars (Rubin et al., 1998) of the 250 miles of the Colorado River that run through Grand Canyon National Park have been well studied and described. However, there has been little systematic or synoptic description of the morphologies and sedimentology of the riverbed, where at least 80 percent of the active sand occurs (Grams et al., 2013). Here, we use high-resolution bathymetric and backscatter measurements collected with multibeam echosounder to comprehensively describe the morphology, sedimentology, and kinematics of sand dunes, and to estimate bedload sediment transport in certain reaches of the river.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"RCEM 2017 – Back to Italy—The 10th Symposium on River, Coastal and Estuarine Morphodynamics","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"RCEM 2017 – Back to Italy—The 10th Symposium on River, Coastal and Estuarine Morphodynamics","conferenceDate":"September 15-22, 2017","conferenceLocation":"Trento-Padova, Italy","language":"English","publisher":"University of Trento - Italy","usgsCitation":"Buscombe, D.D., Kaplinski, M., Grams, P.E., Ashley, T., McElroy, B., and Rubin, D.M., 2017, The sand dunes of the Colorado River, Grand Canyon, USA, <i>in</i> RCEM 2017 – Back to Italy—The 10th Symposium on River, Coastal and Estuarine Morphodynamics, Trento-Padova, Italy, September 15-22, 2017, p. 161-161.","productDescription":"1 p.","startPage":"161","endPage":"161","ipdsId":"IP-083758","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":352025,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347601,"type":{"id":15,"text":"Index Page"},"url":"https://events.unitn.it/en/rcem17"}],"country":"United States","otherGeospatial":"Colorado River, Grand Canyon","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee7abe4b0da30c1bfc34d","contributors":{"authors":[{"text":"Buscombe, Daniel D. 0000-0001-6217-5584","orcid":"https://orcid.org/0000-0001-6217-5584","contributorId":198817,"corporation":false,"usgs":false,"family":"Buscombe","given":"Daniel","middleInitial":"D.","affiliations":[],"preferred":false,"id":717199,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaplinski, Matthew","contributorId":198818,"corporation":false,"usgs":false,"family":"Kaplinski","given":"Matthew","affiliations":[],"preferred":false,"id":717200,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grams, Paul E. 0000-0002-0873-0708 pgrams@usgs.gov","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":1830,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","email":"pgrams@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":717198,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ashley, Thomas","contributorId":198819,"corporation":false,"usgs":false,"family":"Ashley","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":717201,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McElroy, Brandon","contributorId":198820,"corporation":false,"usgs":false,"family":"McElroy","given":"Brandon","affiliations":[],"preferred":false,"id":717202,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rubin, David M. 0000-0003-1169-1452 drubin@usgs.gov","orcid":"https://orcid.org/0000-0003-1169-1452","contributorId":3159,"corporation":false,"usgs":true,"family":"Rubin","given":"David","email":"drubin@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":717203,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70192105,"text":"70192105 - 2017 - Connecting the Soda–Avawatz and Bristol–Granite Mountains faults with gravity andaeromagnetic data, Mojave Desert, California","interactions":[],"lastModifiedDate":"2017-12-15T13:15:56","indexId":"70192105","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Connecting the Soda–Avawatz and Bristol–Granite Mountains faults with gravity andaeromagnetic data, Mojave Desert, California","docAbstract":"<p>The Soda–Avawatz and Bristol–Granite Mountains faults are considered by some to form the northeastern margin of the eastern California shear zone yet their connectivity and extents are obscured by surficial deposits and the estimates of total right-lateral offset from geologic data range from 0 to as much as 24 km. We use gravity and recently released detailed aeromagnetic data to map strands of these faults, examine structure within the fault zones and provide estimates of right-lateral offset. Gradients in gravity and aeromagnetic data define physical property contrasts that coincide with mapped strands of the faults and allow for extension of these faults, where concealed, to indicate continuity between the Soda–Avawatz and Bristol–Granite Mountains faults. Gravity data reveal local tectonic basins west of Silver Lake, beneath Soda Lake, and southwest of the Marble Mountains that are approximately 9–15 km long, 3–5 km wide, and 1–1.5 km deep. The basins are located where the local fault traces strike more northerly than the overall fault zone strike, suggesting that these basins are transtensional (pull-apart). If the lengths of these basins can be used as a proxy for rightlateral offset, the Soda–Avawatz and Bristol–Granite Mountains faults may have up to 9–15 km of post-early Miocene offset, consistent with our offset estimates from correlative magnetic anomalies across the fault zone. </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"ECSZ does it: Revisiting the Eastern California Shear Zone 2017 Desert Symposium Field Guide and Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2017 Desert Symposium","language":"English","publisher":"California State University Desert Studies Center","usgsCitation":"Langenheim, V., and Miller, D., 2017, Connecting the Soda–Avawatz and Bristol–Granite Mountains faults with gravity andaeromagnetic data, Mojave Desert, California, <i>in</i> ECSZ does it: Revisiting the Eastern California Shear Zone 2017 Desert Symposium Field Guide and Proceedings, p. 83-92.","productDescription":"10 p.","startPage":"83","endPage":"92","ipdsId":"IP-083724","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":350038,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347024,"type":{"id":15,"text":"Index Page"},"url":"https://nsm.fullerton.edu/dsc/desert-studies-center-additional-information"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.5,\n              34.5\n            ],\n            [\n              -116.25,\n              34.5\n            ],\n            [\n              -116.25,\n              35.5\n            ],\n            [\n              -115.5,\n              35.5\n            ],\n            [\n              -115.5,\n              34.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60faf9e4b06e28e9c22a5e","contributors":{"authors":[{"text":"Langenheim, Victoria E. 0000-0003-2170-5213 zulanger@usgs.gov","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":151042,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria E.","email":"zulanger@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":714249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":140769,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":714250,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70197530,"text":"70197530 - 2017 - Ad hoc instrumentation methods in ecological studies produce highly biased temperature measurements","interactions":[],"lastModifiedDate":"2018-06-11T11:15:09","indexId":"70197530","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Ad hoc instrumentation methods in ecological studies produce highly biased temperature measurements","docAbstract":"<p><span>In light of global climate change, ecological studies increasingly address effects of temperature on organisms and ecosystems. To measure air temperature at biologically relevant scales in the field, ecologists often use small, portable temperature sensors. Sensors must be shielded from solar radiation to provide accurate temperature measurements, but our review of 18&nbsp;years of ecological literature indicates that shielding practices vary across studies (when reported at all), and that ecologists often invent and construct ad hoc radiation shields without testing their efficacy. We performed two field experiments to examine the accuracy of temperature observations from three commonly used portable data loggers (HOBO Pro, HOBO Pendant, and iButton hygrochron) housed in manufactured Gill shields or ad hoc, custom‐fabricated shields constructed from everyday materials such as plastic cups. We installed this sensor array (five replicates of 11 sensor‐shield combinations) at weather stations located in open and forested sites. HOBO Pro sensors with Gill shields were the most accurate devices, with a mean absolute error of 0.2°C relative to weather stations at each site. Error in ad hoc shield treatments ranged from 0.8 to 3.0°C, with the largest errors at the open site. We then deployed one replicate of each sensor‐shield combination at five sites that varied in the amount of urban impervious surface cover, which presents a further shielding challenge. Bias in sensors paired with ad hoc shields increased by up to 0.7°C for every 10% increase in impervious surface. Our results indicate that, due to variable shielding practices, the ecological literature likely includes highly biased temperature data that cannot be compared directly across studies. If left unaddressed, these errors will hinder efforts to predict biological responses to climate change. We call for greater standardization in how temperature data are recorded in the field, handled in analyses, and reported in publications.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.3499","usgsCitation":"Terando, A.J., Youngsteadt, E., Meineke, E.K., and Prado, S.G., 2017, Ad hoc instrumentation methods in ecological studies produce highly biased temperature measurements: Ecology and Evolution, v. 7, no. 23, p. 9890-9904, https://doi.org/10.1002/ece3.3499.","productDescription":"15 p.","startPage":"9890","endPage":"9904","ipdsId":"IP-086574","costCenters":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"links":[{"id":469268,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.3499","text":"Publisher Index Page"},{"id":354883,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"23","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-20","publicationStatus":"PW","scienceBaseUri":"5b46e624e4b060350a15d25b","contributors":{"authors":[{"text":"Terando, Adam J. 0000-0002-9280-043X aterando@usgs.gov","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":173447,"corporation":false,"usgs":true,"family":"Terando","given":"Adam","email":"aterando@usgs.gov","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":737565,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Youngsteadt, Elsa","contributorId":205500,"corporation":false,"usgs":false,"family":"Youngsteadt","given":"Elsa","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":737566,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meineke, Emily K.","contributorId":205501,"corporation":false,"usgs":false,"family":"Meineke","given":"Emily","email":"","middleInitial":"K.","affiliations":[{"id":37111,"text":"Harvard University Herbaria","active":true,"usgs":false}],"preferred":false,"id":737567,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prado, Sara G.","contributorId":204504,"corporation":false,"usgs":false,"family":"Prado","given":"Sara","email":"","middleInitial":"G.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":737568,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70197868,"text":"70197868 - 2017 - Foundations of translational ecology","interactions":[],"lastModifiedDate":"2018-06-22T14:55:15","indexId":"70197868","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Foundations of translational ecology","docAbstract":"<p><span>Ecologists who specialize in translational ecology (TE) seek to link ecological knowledge to decision making by integrating ecological science with the full complement of social dimensions that underlie today's complex environmental issues. TE is motivated by a search for outcomes that directly serve the needs of natural resource managers and decision makers. This objective distinguishes it from both basic and applied ecological research and, as a practice, it deliberately extends research beyond theory or opportunistic applications. TE is uniquely positioned to address complex issues through interdisciplinary team approaches and integrated scientist–practitioner partnerships. The creativity and context‐specific knowledge of resource managers, practitioners, and decision makers inform and enrich the scientific process and help shape use‐driven, actionable science. Moreover, addressing research questions that arise from on‐the‐ground management issues – as opposed to the top‐down or expert‐oriented perspectives of traditional science – can foster the high levels of trust and commitment that are critical for long‐term, sustained engagement between partners.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/fee.1733","usgsCitation":"Enquist, C.A., Jackson, S.T., Garfin, G.M., Davis, F.W., Gerber, L.R., Littell, J., Tank, J., Terando, A., Wall, T.U., Halpern, B.S., Morelli, T.L., Hiers, J.K., McNie, E., Stephenson, N.L., Williamson, M.A., Woodhouse, C.A., Yung, L., Brunson, M.W., Hall, K., Hallett, L.M., Lawson, D., Moritz, M.A., Nydick, K.R., Pairis, A., Ray, A.J., Regan, C.M., Safford, H.D., Schwartz, M.W., and Shaw, M.R., 2017, Foundations of translational ecology: Frontiers in Ecology and the Environment, v. 15, no. 10, p. 541-550, https://doi.org/10.1002/fee.1733.","productDescription":"10 p.","startPage":"541","endPage":"550","ipdsId":"IP-081941","costCenters":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"links":[{"id":461333,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/fee.1733","text":"Publisher Index Page"},{"id":355314,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e624e4b060350a15d255","contributors":{"authors":[{"text":"Enquist, Carolyn A. 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