{"pageNumber":"330","pageRowStart":"8225","pageSize":"25","recordCount":41075,"records":[{"id":70216348,"text":"70216348 - 2019 - Fire severity and changing composition of forest understory plant communities","interactions":[],"lastModifiedDate":"2020-11-12T19:57:30.094224","indexId":"70216348","displayToPublicDate":"2019-07-30T13:52:16","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2490,"text":"Journal of Vegetation Science","active":true,"publicationSubtype":{"id":10}},"title":"Fire severity and changing composition of forest understory plant communities","docAbstract":"<h3 id=\"jvs12796-sec-0001-title\" class=\"article-section__sub-title section1\">Questions</h3><p>Gradients of fire severity in dry conifer forests can be associated with variation in understory floristic composition. Recent work in dry conifer forests in California, USA, has suggested that more severely burned stands contain more thermophilic taxa (those associated with warmer and drier conditions), and that forest disturbance may therefore accelerate floristic shifts already underway due to climate change. However, it remains unknown how rapidly thermophilic taxa shifts occur following disturbance, how long such shifts are likely to persist, and how different thermophilic post‐disturbance communities are from pre‐disturbance communities.</p><h3 id=\"jvs12796-sec-0002-title\" class=\"article-section__sub-title section1\">Location</h3><p>Colorado Front Range, USA.</p><h3 id=\"jvs12796-sec-0003-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We investigated these questions using a unique 15‐year vegetation plot dataset that captures pre‐ and post‐fire understory community composition across a gradient of fire severity in dry conifer forests, classifying taxa using the biogeographic affinity concept.</p><h3 id=\"jvs12796-sec-0004-title\" class=\"article-section__sub-title section1\">Results</h3><p>Thermophilization (defined here as a decrease in the ratio of cool‐mesic taxa to warm‐xeric taxa, based on biogeographic affinity of paleobotanical lineages) was observed as early as one&nbsp;year post‐fire for all fire severity classes, but was stronger at sites that burned at higher severity. The ratio of cool‐mesic to warm‐xeric taxa recovered to pre‐fire levels within 10&nbsp;years in stands that burned at low severity, but not in stands that burned at moderate or high severity. The process of thermophilization after high‐severity fire appears to be driven primarily by the gain of warm‐xeric taxa that were absent before the fire, but losses of cool‐mesic taxa, which did not return during the duration of the study, also played a role.</p><h3 id=\"jvs12796-sec-0005-title\" class=\"article-section__sub-title section1\">Conclusions</h3><p>Decreases in canopy cover appear to be a main contributor to understory thermophilization. Fine‐scale heterogeneity in post‐fire forest structure is likely an important driver of floristic diversity, creating the microclimatic variation necessary to maintain floristic refugia for species mal‐adapted to increasingly warm and dry conditions.</p>","language":"English","publisher":"Wiley","doi":"10.1111/jvs.12796","usgsCitation":"Stevens, J., Miller, J., and Fornwalt, P.J., 2019, Fire severity and changing composition of forest understory plant communities: Journal of Vegetation Science, v. 30, p. 1099-1109, https://doi.org/10.1111/jvs.12796.","productDescription":"11 p.","startPage":"1099","endPage":"1109","ipdsId":"IP-104215","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":380474,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.68435668945312,\n              39.10875135935859\n            ],\n            [\n              -105.30532836914062,\n              39.10875135935859\n            ],\n            [\n              -105.30532836914062,\n              39.35659979720227\n            ],\n            [\n              -105.68435668945312,\n              39.35659979720227\n            ],\n            [\n              -105.68435668945312,\n              39.10875135935859\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"30","noUsgsAuthors":false,"publicationDate":"2019-09-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Stevens, Jens 0000-0002-2234-1960","orcid":"https://orcid.org/0000-0002-2234-1960","contributorId":222191,"corporation":false,"usgs":true,"family":"Stevens","given":"Jens","email":"","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":804777,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Jesse","contributorId":147734,"corporation":false,"usgs":false,"family":"Miller","given":"Jesse","email":"","affiliations":[{"id":16916,"text":"Dept. of Zoology, University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":804778,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fornwalt, Paula J.","contributorId":196676,"corporation":false,"usgs":false,"family":"Fornwalt","given":"Paula","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":804779,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70205899,"text":"70205899 - 2019 - Reduced soil macropores and forest cover reduce warm-season baseflow below ecological thresholds in the upper Delaware River Basin","interactions":[],"lastModifiedDate":"2019-10-09T12:58:42","indexId":"70205899","displayToPublicDate":"2019-07-30T12:53:41","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Reduced soil macropores and forest cover reduce warm-season baseflow below ecological thresholds in the upper Delaware River Basin","docAbstract":"We examined the impacts of changes in land cover and soil conditions on the flow regime of the upper Delaware River Basin using the Water Availability Tool for Environmental Resources (WATER). We simulated flows for two periods, circa 1600 and 1940, at three sites using the same temperature and precipitation conditions: the East Branch (EB), West Branch (WB), and mainstem Delaware River at Callicoon, NY. The 1600 period represented pristine forest and soils. The 1940 period included reduced forest cover, increased agriculture, and degraded soils with reduced soil macropore fractions. A model-sensitivity test examined the impact of soil macropore and land cover change separately. We assessed changes in flow regimes between the 1600 and 1940 periods using a variety of flow statistics, including established ecological limits of hydrologic alteration (ELOHA) thresholds. Reduced forest soil macropore fraction significantly reduced summer and fall base flows. The 1940 period had significantly lower Q50 flows (50% exceedance) than the 1600 period, as well as summer and fall Q90 and Q75-90 flows below the ELOHA thresholds. The 1- to 7-day minimum flows were also lower for the 1940 period, by 17% on the mainstem.  1940 flows were 6% more likely than the 1600 period to fall below the low-flow threshold for federally endangered dwarf wedgemussel (Alasmidonta heterodon) habitat. In contrast, the 1940 period had higher flows than the 1600 period from late fall to early winter.","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12777","usgsCitation":"Endreny, T.A., Kwon, P.Y., Williamson, T.N., and Evans, R., 2019, Reduced soil macropores and forest cover reduce warm-season baseflow below ecological thresholds in the upper Delaware River Basin: Journal of the American Water Resources Association, v. 55, no. 5, p. 1268-1287, https://doi.org/10.1111/1752-1688.12777.","productDescription":"20 p.","startPage":"1268","endPage":"1287","ipdsId":"IP-091449","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":368171,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York, Pennsylvania","otherGeospatial":"Upper Delaware River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.5966796875,\n              40.9964840143779\n            ],\n            [\n              -74.3389892578125,\n              40.9964840143779\n            ],\n            [\n              -74.3389892578125,\n              42.85583308674893\n            ],\n            [\n              -76.5966796875,\n              42.85583308674893\n            ],\n            [\n              -76.5966796875,\n              40.9964840143779\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"55","issue":"5","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Endreny, Theodore A.","contributorId":195489,"corporation":false,"usgs":false,"family":"Endreny","given":"Theodore","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":772809,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kwon, Peter Yong Seuk","contributorId":219658,"corporation":false,"usgs":false,"family":"Kwon","given":"Peter","email":"","middleInitial":"Yong Seuk","affiliations":[{"id":34139,"text":"Anchor QEA","active":true,"usgs":false}],"preferred":false,"id":772810,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williamson, Tanja N. 0000-0002-7639-8495 tnwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-7639-8495","contributorId":198329,"corporation":false,"usgs":true,"family":"Williamson","given":"Tanja","email":"tnwillia@usgs.gov","middleInitial":"N.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772808,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Evans, Richard","contributorId":216306,"corporation":false,"usgs":false,"family":"Evans","given":"Richard","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":772811,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204576,"text":"70204576 - 2019 - Characterizing crop water use dynamics in the Central Valley of California using landsat-derived evapotranspiration","interactions":[],"lastModifiedDate":"2019-08-07T08:59:41","indexId":"70204576","displayToPublicDate":"2019-07-30T12:20:01","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing crop water use dynamics in the Central Valley of California using landsat-derived evapotranspiration","docAbstract":"Understanding how different crops use water over time is essential for planning and managing water allocation, water rights, and agricultural production. The main objective of this paper is to characterize the spatiotemporal dynamics of crop water use in the Central Valley of California using Landsat-based annual actual evapotranspiration (ETa) from 2008 to 2018 derived from the Operational Simplified Surface Energy Balance (SSEBop) model. Crop water use for 10 crops is characterized at multiple scales. The Mann–Kendall trend analysis revealed a significant increase in area cultivated with almonds and their water use, with an annual rate of change of 16,327 ha in area and 13,488 ha-m in water use. Conversely, alfalfa showed a significant decline with 12,429 ha in area and 13,901 ha-m in water use per year during the same period. A pixel-based Mann–Kendall trend analysis showed the changing crop type and water use at the level of individual fields for all of Kern County in the Central Valley. This study demonstrates the useful application of historical Landsat ET to produce relevant water management information. Similar studies can be conducted at regional and global scales to understand and quantify the relationships between land cover change and its impact on water use.","language":"English","publisher":"MDPI","doi":"10.3390/rs11151782","usgsCitation":"Schauer, M., and Senay, G., 2019, Characterizing crop water use dynamics in the Central Valley of California using landsat-derived evapotranspiration: Remote Sensing, v. 15, no. 11, 22 p., https://doi.org/10.3390/rs11151782.","productDescription":"22 p.","ipdsId":"IP-085933","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":467408,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs11151782","text":"Publisher Index Page"},{"id":366308,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"15","issue":"11","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Schauer, Matthew 0000-0002-4198-3379","orcid":"https://orcid.org/0000-0002-4198-3379","contributorId":216909,"corporation":false,"usgs":true,"family":"Schauer","given":"Matthew","email":"","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":767618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, Gabriel 0000-0002-8810-8539","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":216910,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":767617,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70263611,"text":"70263611 - 2019 - Rupture branching structure of the 2014 Mw 6.0 South Napa, California earthquake inferred from explosion-generated fault-zone trapped waves","interactions":[],"lastModifiedDate":"2025-02-18T15:52:39.94825","indexId":"70263611","displayToPublicDate":"2019-07-30T09:51:45","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Rupture branching structure of the 2014 <i>M</i><sub>w</sub> 6.0 South Napa, California earthquake inferred from explosion-generated fault-zone trapped waves","title":"Rupture branching structure of the 2014 Mw 6.0 South Napa, California earthquake inferred from explosion-generated fault-zone trapped waves","docAbstract":"<p><span>We present evidence for multiple fault branches of the West Napa fault zone (WNFZ) based on fault‐zone trapped waves (FZTWs) generated by two explosions that were detonated within the main surface rupture zone produced by the 24 August 2014&nbsp;</span><span class=\"inline-formula no-formula-id\">Mw</span><span>&nbsp;6.0 South Napa earthquake. The FZTWs were recorded by a 15‐kilometer‐long dense (100&nbsp;m spacing) linear seismic array consisting of 155 4.5‐hertz three‐component seismometers that were deployed across the surface ruptures and adjacent faults in Napa Valley in the summer of 2016. The two explosions were located&nbsp;</span><span class=\"inline-formula no-formula-id\">∼3.5  km</span><span>&nbsp;north and&nbsp;</span><span class=\"inline-formula no-formula-id\">∼5  km</span><span>&nbsp;south of the 2016 recording array. Prominent FZTWs, with large amplitudes and long wavetrains following the&nbsp;</span><i>P</i><span>&nbsp;and&nbsp;</span><i>S</i><span>&nbsp;waves, are observed on the seismograms. We analyzed FZTW waveforms in both time and frequency domains to characterize the branching structure of subsurface rupture zones along the WNFZ. The 2014 surface rupture zone was&nbsp;</span><span class=\"inline-formula no-formula-id\">∼12  km</span><span>&nbsp;in length along the main trace of the WNFZ, which appears to form an </span><span class=\"inline-formula no-formula-id\">∼400–600‐meter‐wide</span><span>&nbsp;low‐velocity waveguide to depths in excess of 5–7&nbsp;km. Seismic velocities within the main rupture are reduced by 40%–50% relative to the surrounding‐rock velocities. Within 1.5&nbsp;km of the main trace of the WNFZ, there are at least two subordinate fault traces that formed 3‐ to 6‐kilometer‐long surface breaks during the 2014 mainshock. Our modeling suggests that these subordinate fault traces are also low‐velocity waveguides that connect with the main rupture at depths of&nbsp;</span><span class=\"inline-formula no-formula-id\">∼2–3  km⁠</span><span>, forming a flower structure. FZTWs were also recorded at seismic stations across the Carneros fault (CF), which is&nbsp;</span><span class=\"inline-formula no-formula-id\">∼1  km</span><span>&nbsp;west of the WNFZ; this suggests that the CF connects with the WNFZ at shallow depths, even though the CF did not experience surface rupture during the 2014&nbsp;</span><span class=\"inline-formula no-formula-id\">Mw</span><span>&nbsp;6.0 mainshock. 3D finite‐difference simulations of recorded FZTWs imply a branching structure along multiple fault strands associated with the WNFZ.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120180181","usgsCitation":"Li, Y., Catchings, R.D., and Goldman, M., 2019, Rupture branching structure of the 2014 Mw 6.0 South Napa, California earthquake inferred from explosion-generated fault-zone trapped waves: Bulletin of the Seismological Society of America, v. 109, no. 5, p. 1907-1921, https://doi.org/10.1785/0120180181.","productDescription":"15 p.","startPage":"1907","endPage":"1921","ipdsId":"IP-102139","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":482163,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"South Napa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.53268348510989,\n              38.51201947250749\n            ],\n            [\n              -122.53268348510989,\n              38.149075614312096\n            ],\n            [\n              -122.13781239621281,\n              38.149075614312096\n            ],\n            [\n              -122.13781239621281,\n              38.51201947250749\n            ],\n            [\n              -122.53268348510989,\n              38.51201947250749\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"109","issue":"5","noUsgsAuthors":false,"publicationDate":"2019-07-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Li, Yong-Gang","contributorId":178873,"corporation":false,"usgs":false,"family":"Li","given":"Yong-Gang","email":"","affiliations":[],"preferred":false,"id":927567,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Catchings, Rufus D. 0000-0002-5191-6102 catching@usgs.gov","orcid":"https://orcid.org/0000-0002-5191-6102","contributorId":1519,"corporation":false,"usgs":true,"family":"Catchings","given":"Rufus","email":"catching@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":927568,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldman, Mark 0000-0002-0802-829X","orcid":"https://orcid.org/0000-0002-0802-829X","contributorId":205863,"corporation":false,"usgs":true,"family":"Goldman","given":"Mark","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":927569,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204791,"text":"70204791 - 2019 - Introduction to special issue on gas hydrate in porous media: Linking laboratory and field‐scale phenomena","interactions":[],"lastModifiedDate":"2019-10-09T09:50:21","indexId":"70204791","displayToPublicDate":"2019-07-29T10:37:47","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Introduction to special issue on gas hydrate in porous media: Linking laboratory and field‐scale phenomena","docAbstract":"<p>The proliferation of drilling expeditions focused on characterizing natural gas hydrate as a potential energy resource has spawned widespread interest in gas hydrate reservoir properties and associated porous media phenomena. Between 2017 and 2019, a Special Section of this journal compiled contributed papers elucidating interactions between gas hydrate and sediment based on laboratory, numerical modeling, and field studies. Motivated mostly by field observations in the northern Gulf of Mexico and offshore Japan, several papers focus on the mechanisms for gas hydrate formation and accumulation, particularly with vapor phase gas, not dissolved gas, as the precursor to hydrate. These studies rely on numerical modeling or laboratory experiments using sediment packs or benchtop micromodels. A second focus of the Special Section is the role of fines in inhibiting production of gas from methane hydrate, controlling the distribution of hydrate at a pore scale, and influencing the bulk behavior of seafloor sediments. Other papers fill knowledge gaps related to the physical properties of hydrate-bearing sediments and advance new approaches in coupled thermal-mechanical modeling of these sediments during hydrate dissociation. Finally, one study addresses the long-standing question about the fate of methane hydrate at the molecular level when CO2 is injected into natural reservoirs under hydrate-forming conditions.&nbsp;</p>","language":"English","publisher":"Wiley","doi":"10.1029/2019JB018186","usgsCitation":"Ruppel, C.D., Lee, J.Y., and Pecher, I., 2019, Introduction to special issue on gas hydrate in porous media: Linking laboratory and field‐scale phenomena: Journal of Geophysical Research B: Solid Earth, v. 124, no. 8, p. 7525-7537, https://doi.org/10.1029/2019JB018186.","productDescription":"19 p.","startPage":"7525","endPage":"7537","ipdsId":"IP-109000","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467412,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2019jb018186","text":"External Repository"},{"id":366596,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"124","issue":"8","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Ruppel, Carolyn D. 0000-0003-2284-6632 cruppel@usgs.gov","orcid":"https://orcid.org/0000-0003-2284-6632","contributorId":195778,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn","email":"cruppel@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":768492,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Joo Yong","contributorId":218160,"corporation":false,"usgs":false,"family":"Lee","given":"Joo","email":"","middleInitial":"Yong","affiliations":[{"id":39769,"text":"KIGAM South Korea","active":true,"usgs":false}],"preferred":false,"id":768493,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pecher, Ingo","contributorId":218161,"corporation":false,"usgs":false,"family":"Pecher","given":"Ingo","affiliations":[{"id":39770,"text":"U. of Auckland, New Zealand","active":true,"usgs":false}],"preferred":false,"id":768494,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70206401,"text":"70206401 - 2019 - Impacts of suspended sediment on nearshore benthic light availability following dam removal in a small mountainous river:In situ observations and statistical modeling","interactions":[],"lastModifiedDate":"2019-11-04T10:50:13","indexId":"70206401","displayToPublicDate":"2019-07-29T06:52:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Impacts of suspended sediment on nearshore benthic light availability following dam removal in a small mountainous river:In situ observations and statistical modeling","docAbstract":"The 2011–2014 removal of two dams from the Elwha River, WA, delivered ~ 19 Mt of sediment to the marine environment, creating an opportunity to study the sensitivity of a coastal ecosystem to large-scale sediment input. Macroalgae, the primary habitat-forming species in the nearshore, disappeared from the region. It was hypothesized that this mortality event was caused by a reduction in benthic light availability due to increased turbidity. To investigate this connection, nearshore processes and benthic light availability were monitored at 7 locations along the 10-m isobath in 2016 and 2017. The primary driver of light attenuation was suspended sediment, with measured chlorophyll-a and CDOM concentrations contributing < 15% to observed attenuation values. A Bootstrap-aggregated Regression Tree was trained to predict attenuation from the in situ data. Light attenuation was impacted by both sediment transport in the river plume, represented in the model by fluvial suspended sediment load and tidal current direction, and subsurface resuspension, represented by wave height and bed shear velocity. The models were used to hindcast light availability during the dam removal. Total daily benthic light availability was below the 1–2 mol photons/m2/day threshold for macroalgae growth consistently in 2013 and seasonally in 2012 and 2014, supporting the hypothesis that reduced light availability caused the mortality event. Light availability increased in 2016–2017 as the annual sediment load decreased, and macroalgae were concurrently observed in the region. Predicting benthic light availability over event, tidal, and seasonal timescales by accounting for both near-surface and subsurface attenuation will improve management strategies designed to limit ecosystem damage during sediment delivery events.","language":"English","publisher":"Springer","doi":"10.1007/s12237-019-00602-5","usgsCitation":"Glover, H.E., Ogston, A.S., Miller, I.M., Eidam, E., Rubin, S., and Berry, H., 2019, Impacts of suspended sediment on nearshore benthic light availability following dam removal in a small mountainous river:In situ observations and statistical modeling: Estuaries and Coasts, v. 42, no. 7, p. 1804-1820, https://doi.org/10.1007/s12237-019-00602-5.","productDescription":"17 p.","startPage":"1804","endPage":"1820","ipdsId":"IP-109587","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":368859,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Elwha River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.815673828125,\n              45.61403741135093\n            ],\n            [\n              -121.387939453125,\n              45.61403741135093\n            ],\n            [\n              -121.387939453125,\n              48.40732607972984\n            ],\n            [\n              -124.815673828125,\n              48.40732607972984\n            ],\n            [\n              -124.815673828125,\n              45.61403741135093\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"42","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Glover, H E","contributorId":220183,"corporation":false,"usgs":false,"family":"Glover","given":"H","email":"","middleInitial":"E","affiliations":[{"id":40141,"text":"University of Washington, School of Oceanography, Box 357940, Seattle, Washington, 98195","active":true,"usgs":false}],"preferred":false,"id":774408,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ogston, A S","contributorId":220184,"corporation":false,"usgs":false,"family":"Ogston","given":"A","email":"","middleInitial":"S","affiliations":[{"id":40141,"text":"University of Washington, School of Oceanography, Box 357940, Seattle, Washington, 98195","active":true,"usgs":false}],"preferred":false,"id":774409,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, I M","contributorId":220185,"corporation":false,"usgs":false,"family":"Miller","given":"I","email":"","middleInitial":"M","affiliations":[{"id":40142,"text":"Washington Sea Grant, 3716 Brooklyn Avenue NE, Seattle, Washington, 98105","active":true,"usgs":false}],"preferred":false,"id":774410,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eidam, E F","contributorId":220186,"corporation":false,"usgs":false,"family":"Eidam","given":"E F","affiliations":[{"id":40143,"text":"University of North Carolina at Chapel Hill, 3202 Venable and Murray Halls, CB 3300, Chapel Hill, North Carolina 27599","active":true,"usgs":false}],"preferred":false,"id":774411,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rubin, Steve 0000-0003-3054-7173","orcid":"https://orcid.org/0000-0003-3054-7173","contributorId":220187,"corporation":false,"usgs":true,"family":"Rubin","given":"Steve","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":774412,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Berry, H D","contributorId":220188,"corporation":false,"usgs":false,"family":"Berry","given":"H D","affiliations":[{"id":40144,"text":"Washington Department of Natural Resources, MS 47027, Olympia, Washington, 98504","active":true,"usgs":false}],"preferred":false,"id":774413,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70205961,"text":"70205961 - 2019 - Evaluation of stream and wetlands restoration using UAS-based thermal infrared mapping","interactions":[],"lastModifiedDate":"2021-04-27T16:13:54.55326","indexId":"70205961","displayToPublicDate":"2019-07-29T06:51:18","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of stream and wetlands restoration using UAS-based thermal infrared mapping","docAbstract":"Large-scale wetland restoration often focuses on repairing the hydrologic connections degraded by anthropogenic modifications. Of these hydrologic connections, groundwater discharge is an important target, as these surface water ecosystem control points are important to thermal stability, among other ecosystem services. However, evaluating the effectiveness of the restoration activities on establishing groundwater discharge connection is often difficult over the vast area and often challenging or inaccessible terrain of wetlands.  Unoccupied aerial systems (UAS) are now routinely used for collecting aerial imagery and creating digital surface models (DSM).  Lightweight thermal infrared (TIR) sensors provide another payload option for generation of sub-meter resolution aerial TIR orthophotos. This technology allows for the rapid and safe survey of groundwater discharge areas. Aerial TIR water-surface data were collected March 2019 at Tidmarsh Farms, a former commercial cranberry peatland located in coastal Massachusetts, USA (41°54'17.6\"N 70°34'17.4\"W), where stream and wetland restoration actions were completed in 2016. Here we present a 0.4 km2 georeferenced, temperature calibrated TIR orthophoto of the area. The image represents a mosaic of nearly 900 TIR images captured by UAS in a single morning with a total flight time of 36 minutes, and is supported by a DSM derived from UAS visible imagery. The survey was conducted in winter to maximize temperature contrast between relatively warm groundwater and colder ambient surface environment; lower-density groundwater rises above cool surface waters and thus can be imaged by a UAS.  The resulting TIR orthomosaic shows fine detail of seepage distribution and downstream influence along the several restored channel forms, which was an objective of the ecological restoration design. The restored stream channel has increased connectivity to peatland groundwater discharge, reducing the ecosystem thermal stressors.  Such aerial techniques can be used to guide ecological restoration design and assess post-restoration outcomes, especially in settings where ecosystem structure and function is governed by groundwater and surface water interaction.","language":"English","publisher":"MDPI","doi":"10.3390/w11081568","usgsCitation":"Harvey, M., Hare, D., Hackman, A., Davenport, G., Haynes, A., Helton, A., Lane, J.W., and Briggs, M., 2019, Evaluation of stream and wetlands restoration using UAS-based thermal infrared mapping: Water, v. 11, no. 8, 1568, 13 p., https://doi.org/10.3390/w11081568.","productDescription":"1568, 13 p.","ipdsId":"IP-109877","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":467416,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w11081568","text":"Publisher Index Page"},{"id":368290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Harvey, Mark","contributorId":190941,"corporation":false,"usgs":false,"family":"Harvey","given":"Mark","email":"","affiliations":[],"preferred":false,"id":773064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hare, Danielle K.","contributorId":219738,"corporation":false,"usgs":false,"family":"Hare","given":"Danielle","middleInitial":"K.","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":773065,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hackman, Alex","contributorId":219739,"corporation":false,"usgs":false,"family":"Hackman","given":"Alex","email":"","affiliations":[{"id":40057,"text":"Massachusetts DER","active":true,"usgs":false}],"preferred":false,"id":773066,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davenport, Glorianna","contributorId":219740,"corporation":false,"usgs":false,"family":"Davenport","given":"Glorianna","email":"","affiliations":[{"id":40058,"text":"The Living Observatory","active":true,"usgs":false}],"preferred":false,"id":773067,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haynes, Adam","contributorId":216657,"corporation":false,"usgs":false,"family":"Haynes","given":"Adam","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":773068,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Helton, Ashley","contributorId":219741,"corporation":false,"usgs":false,"family":"Helton","given":"Ashley","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":773069,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lane, John W. 0000-0002-3558-243X","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":219742,"corporation":false,"usgs":true,"family":"Lane","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":773070,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Briggs, Martin 0000-0003-3206-4132","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":219737,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":773063,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70204507,"text":"70204507 - 2019 - See how they ran: Morphological and functional aspects of skeletons from ancient Egyptian shrew mummies (Eulipotyphla: Soricidae: Crocidurinae)","interactions":[],"lastModifiedDate":"2019-07-29T17:28:29","indexId":"70204507","displayToPublicDate":"2019-07-27T16:51:20","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"displayTitle":"See how they ran: Morphological and functional aspects of skeletons from ancient Egyptian shrew mummies (Eulipotyphla: Soricidae: Crocidurinae)","title":"See how they ran: Morphological and functional aspects of skeletons from ancient Egyptian shrew mummies (Eulipotyphla: Soricidae: Crocidurinae)","docAbstract":"<p>Animals served important roles in the religious cults that proliferated during the Late (ca. 747–332 BCE) and Greco-Roman periods (332 BCE–CE 337) of ancient Egypt. One result was the interment of animal mummies in specialized necropolises distributed throughout the country. Excavation of a rock-tomb that was re-used during the Ptolemaic Period (ca. 309–30 BCE) for the interment of animal mummies at the Djehuty Site (TT 11-12) near Luxor, Egypt, was carried out in early 2018 by a Spanish-Egyptian team sponsored by the Consejo Superior de Investigaciones Científicas, Madrid. The tomb burned sometime after deposition of the mummies, leaving behind abundant disassociated skeletal remains, primarily of avians, but also including two species of shrews (Soricidae): <i>Crocidura olivieri</i> (Lesson, 1827) and <i>C. religiosa</i> (I. Geoffroy Saint-Hilaire, 1826). To investigate possible intraspecific variation in morphology and locomotor function in these two species during the last two millennia, we measured morphological features of individual postcranial bones from the two archaeological samples and calculated indices that have been used to assess locomotor function. We compared the measurements to those from modern <i>C. olivieri</i>, <i>C. religiosa</i>, and <i>C. suaveolens</i> (Pallas, 1811) using principal components analysis, and we compared locomotor indices to those we calculated for the three modern species of Crocidura and to those from nine species of myosoricine shrews. Osteological features of the postcranial skeleton of conspecific Ptolemaic and modern samples of <i>C. olivieri </i>and <i>C. religiosa</i> are generally similar in character and proportion, and, skeletally, these shrews and modern <i>C. suaveolens</i> are consistent with soricids having a primarily ambulatory locomotor mode. One exception is the deltopectoral crest of the humerus, which appears to be longer in modern C. religiosa. Despite general conservation of form and function, Ptolemaic <i>C. olivieri</i> had larger body size than modern Egyptian populations and were more similar in size to modern <i>C. olivieri nyansae</i>, 1900 from Kenya than to modern <i>C. olivieri olivieri</i> from Egypt.</p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/jmammal/gyz091","usgsCitation":"Woodman, N., Wilken, A.T., and Ikram, S., 2019, See how they ran: Morphological and functional aspects of skeletons from ancient Egyptian shrew mummies (Eulipotyphla: Soricidae: Crocidurinae): Journal of Mammalogy, v. 100, no. 4, p. 1199-1210, https://doi.org/10.1093/jmammal/gyz091.","productDescription":"12 p.","startPage":"1199","endPage":"1210","ipdsId":"IP-107728","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":366039,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Egypt","city":"Luxor","otherGeospatial":"Dra Abu el-Naga","volume":"100","issue":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Woodman, Neal 0000-0003-2689-7373 nwoodman@usgs.gov","orcid":"https://orcid.org/0000-0003-2689-7373","contributorId":3547,"corporation":false,"usgs":true,"family":"Woodman","given":"Neal","email":"nwoodman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":767325,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilken, Alec T.","contributorId":217703,"corporation":false,"usgs":false,"family":"Wilken","given":"Alec","email":"","middleInitial":"T.","affiliations":[{"id":39687,"text":"University of Missouri, Columbia","active":true,"usgs":false}],"preferred":false,"id":767326,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ikram, Salima","contributorId":217704,"corporation":false,"usgs":false,"family":"Ikram","given":"Salima","email":"","affiliations":[{"id":39688,"text":"American University in Cairo, Cairo, Egypt","active":true,"usgs":false}],"preferred":false,"id":767327,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70207040,"text":"70207040 - 2019 - Growth and mortality of invasive Flathead Catfish in the tidal James River, Virginia","interactions":[],"lastModifiedDate":"2020-01-08T14:14:03","indexId":"70207040","displayToPublicDate":"2019-07-26T15:10:44","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Growth and mortality of invasive Flathead Catfish in the tidal James River, Virginia","docAbstract":"<p><span>Invasive species are a major threat to biodiversity of native fishes in North America. In Atlantic coastal rivers of the United States, large catfishes introduced from the Gulf of Mexico drainages have become established and contributed to native species declines. Flathead Catfish&nbsp;</span><i>Pylodictis olivaris</i><span>&nbsp;were introduced to the Chesapeake Bay drainage in the 1960s and 1970s in the James and Potomac river systems in the eastern United States. Diet studies have found James River Flathead Catfish function as apex predators and are known to consume at-risk&nbsp;</span><i>Alosa</i><span>&nbsp;spp. To limit further range expansion and impacts to native species, resource management agencies need information on population characteristics to support population assessments and management plan development. Thus, we examined temporal trends in growth rates and estimated total instantaneous mortality for tidal James River Flathead Catfish collected by Virginia Department of Game and Inland Fisheries from 1997 to 2015. Parameters of the von Bertalanffy growth model with length-at-age observations pooled across sampling years were estimated as&nbsp;</span><i>L</i><sub>∞</sub><span>&nbsp;= 1,059 mm,&nbsp;</span><i>k</i><span>&nbsp;= 0.231/y, and&nbsp;</span><i>t</i><sub>0</sub><span>&nbsp;= 0.55 y. Flathead Catfish growth differed among sampling years, especially for the years 2007 and 2014, which had the largest sample sizes. However, there were no obvious temporal trends in growth trajectories. James River Flathead Catfish tend to grow much faster than most populations used in development of the relative growth index, but the species is known to grow faster in its nonnative range. Consequently, scientists and managers should use caution when applying growth indices if native and nonnative populations are not expressly considered in development of the index. We estimated total instantaneous mortality as&nbsp;</span><i>Z</i><span>&nbsp;= 0.50 and mean natural mortality from six estimators as&nbsp;</span><i>M</i><span>&nbsp;= 0.30. A lack of older individuals in the population means that mortality rates may be overestimated as a result of gear selectivity or ongoing maturation of the population. These data provide information to support future work examining the species in the James River and development of population models to evaluate management strategies and management plans.</span></p>","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/052019-JFWM-033","usgsCitation":"Hilling, C., Bunch, A.J., Emmel, J.A., Schmitt, J., and Orth, D.J., 2019, Growth and mortality of invasive Flathead Catfish in the tidal James River, Virginia: Journal of Fish and Wildlife Management, v. 10, no. 2, p. 641-652, https://doi.org/10.3996/052019-JFWM-033.","productDescription":"12 p.","startPage":"641","endPage":"652","ipdsId":"IP-109933","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":460321,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/052019-jfwm-033","text":"Publisher Index Page"},{"id":369916,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia ","otherGeospatial":"James River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.4208984375,\n              37.06394430056685\n            ],\n            [\n              -76.387939453125,\n              37.28279464911045\n            ],\n            [\n              -77.398681640625,\n              37.61423141542417\n            ],\n            [\n              -79.89257812499999,\n              38.09998264736481\n            ],\n            [\n              -80.716552734375,\n              37.98750437106374\n            ],\n            [\n              -78.760986328125,\n              37.640334898059486\n            ],\n            [\n              -77.53051757812499,\n              37.49229399862877\n            ],\n            [\n              -76.31103515625,\n              36.82687474287728\n            ],\n            [\n              -76.4208984375,\n              37.06394430056685\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"2","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Hilling, Corbin D.","contributorId":221021,"corporation":false,"usgs":false,"family":"Hilling","given":"Corbin D.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":776611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunch, Aaron J.","contributorId":221022,"corporation":false,"usgs":false,"family":"Bunch","given":"Aaron","email":"","middleInitial":"J.","affiliations":[{"id":35592,"text":"Virginia Department of Game and Inland Fisheries","active":true,"usgs":false}],"preferred":false,"id":776612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Emmel, Jason A.","contributorId":221023,"corporation":false,"usgs":false,"family":"Emmel","given":"Jason","email":"","middleInitial":"A.","affiliations":[{"id":40312,"text":"Solitude Lake Management","active":true,"usgs":false}],"preferred":false,"id":776613,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmitt, Joseph 0000-0002-8354-4067","orcid":"https://orcid.org/0000-0002-8354-4067","contributorId":221020,"corporation":false,"usgs":true,"family":"Schmitt","given":"Joseph","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":776610,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Orth, Donald J.","contributorId":221024,"corporation":false,"usgs":false,"family":"Orth","given":"Donald","email":"","middleInitial":"J.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":776614,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70203598,"text":"pp1842A - 2019 - The effects of management practices on grassland birds — An introduction to North American grasslands and the practices used to manage grasslands and grassland birds","interactions":[{"subject":{"id":70203598,"text":"pp1842A - 2019 - The effects of management practices on grassland birds — An introduction to North American grasslands and the practices used to manage grasslands and grassland birds","indexId":"pp1842A","publicationYear":"2019","noYear":false,"chapter":"A","displayTitle":"The Effects of Management Practices on Grassland Birds—An Introduction to North American Grasslands and the Practices Used to Manage Grasslands and Grassland Birds","title":"The effects of management practices on grassland birds — An introduction to North American grasslands and the practices used to manage grasslands and grassland birds"},"predicate":"IS_PART_OF","object":{"id":70203022,"text":"pp1842 - 2019 - The effects of management practices on grassland birds","indexId":"pp1842","publicationYear":"2019","noYear":false,"title":"The effects of management practices on grassland birds"},"id":1}],"isPartOf":{"id":70203022,"text":"pp1842 - 2019 - The effects of management practices on grassland birds","indexId":"pp1842","publicationYear":"2019","noYear":false,"title":"The effects of management practices on grassland birds"},"lastModifiedDate":"2023-12-20T21:00:48.691686","indexId":"pp1842A","displayToPublicDate":"2019-07-26T15:03:05","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1842","chapter":"A","displayTitle":"The Effects of Management Practices on Grassland Birds—An Introduction to North American Grasslands and the Practices Used to Manage Grasslands and Grassland Birds","title":"The effects of management practices on grassland birds — An introduction to North American grasslands and the practices used to manage grasslands and grassland birds","docAbstract":"<p>The Great Plains of North America is defined as the land mass that encompasses the entire central portion of the North American continent that, at the time of European settlement, was an unbroken expanse of primarily herbaceous vegetation. The Great Plains extend from central Saskatchewan and Alberta to central Mexico and from Indiana to the Rocky Mountains. The expanses of herbaceous vegetation are often referred to as native prairie or native grasslands. Native grasslands share the characteristics of a general uniformity in vegetation structure, dominance by grasses and forbs, a near absence of trees and shrubs, annual precipitation ranging from 25 to 100 centimeters, extreme intra-annual fluctuations in temperature and precipitation, and a flat to rolling topography over which fires can spread. To the west of the Great Plains lie the sagebrush communities of the Great Basin, which extend from British Columbia and Saskatchewan to northern Arizona and New Mexico and from the eastern slopes of the Sierra Nevada and Cascade mountain ranges to western South Dakota. Sagebrush communities share similar characteristics to native grasslands, but their location east of the Rocky Mountains creates a more moderating influence from prevailing westerly winds that affect timing of peak precipitation and growth form of dominant vegetation. Native grasslands and sagebrush communities harbor a diverse array of grassland, wetland, and woodland plant and animal communities that are uniquely adapted to the natural forces of the Great Plains and Great Basin, namely the interactive forces of climate, fire, and grazing. The arrival of European settlers to North America brought profound change to native grassland and sagebrush communities, including the establishment of permanent towns and cities, the proliferation of cropland-based agricultural systems, and the suppression of wildfires. The near extirpation of bison by the 1860s paved the way for dramatic changes in the dominant grazers and a shift in the disturbance patterns that historically influenced vegetation structure. The greatest threat to native grasslands and sagebrush communities in modern times is their loss due to conversion to rowcrop agriculture and to urbanization. Concomitant with habitat loss is a precipitous decline in populations of bird species that evolved with, and are uniquely adapted to, the native grassland and sagebrush habitats. Avian population trends are linked strongly to agricultural land use. Besides outright loss of suitable breeding habitat, agricultural practices affect birds through factors such as pesticide exposure, habitat fragmentation, shifts in predator community composition, and occurrence of brood parasites. Bird populations face other stressors, such as loss of habitat to and behavioral avoidance of urbanized areas, roads, and infrastructure associated with energy production.</p><p>Despite the many anthropogenic changes to North American grassland and sagebrush communities, some bird species are adaptable and opportunistic in their habitat selection and now utilize one or more human-created habitats. Human-created habitats include pastures, hayfields, agricultural terraces, crop buffer strips, field borders, grassed waterways, fencerows, road rights-of-way, airports, reclaimed coal mines, and planted wildlife cover. Fields of seeded grasslands enrolled in Federal long-term set-aside programs, such as the Conservation Reserve Program in the United States and the Permanent Cover Program in Canada, provide important nesting habitat for grassland bird species. The array of habitats used by birds makes habitat and avian management a complex undertaking, and the scale (for example, local, regional, international) at which management actions can be implemented are such that a universal approach to managing grasslands for the conservation of the entire suite of bird species does not exist. Experienced land managers recognize that it is impossible to manage for all bird species simultaneously, and thus, prioritization is necessary towards those habitats or bird species that the manager or management agency ranks highest for a specific region or management unit. The primary tools available for management are burning, grazing, mowing, herbicide application, and idling, but before choosing a particular practice, a manager will want to consider issues of seasonality, intensity, and frequency.</p><p>Despite the thousands of studies that are cited in this compendium, much remains unknown about the effects of management practices on bird species. The series of species accounts in this compendium review the current state of knowledge regarding management of grassland and sagebrush bird species and summarize information on the effects of management practices on individual species. The accounts do not give definitive statements on the effects of management practices for any particular species, primarily because there are very few replicated studies in which identical management practices have been applied in the same geographical area with consistent results, which are elements necessary to provide concrete recommendations for the management of a particular species in a particular area. Documentation of the effects of management treatments on individual species through statistically sound methods that incorporate multiple years and locations will further scientists’ and land managers’ knowledge far more than 1–2-year studies that are limited in scope as well as time, but studies of that scope and breadth are rare.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The effects of management practices on grassland birds (Professional Paper 1842)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1842A","usgsCitation":"Shaffer, J.A., and DeLong, J.P., 2019, The effects of management practices on grassland birds—An introduction to North American grasslands and the practices used to manage grasslands and grassland birds (ver. 1.1, March 2022), chap. A <i>of</i> Johnson, D.H., Igl, L.D., Shaffer, J.A., and DeLong, J.P., eds., The effects of management practices on grassland birds: U.S. Geological Survey Professional Paper 1842, 63 p., https://doi.org/10.3133/pp1842A.","productDescription":"v, 63 p.","numberOfPages":"74","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-097670","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":397809,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/pp/1842/a/versionhist.txt","size":"1 kB","linkFileType":{"id":2,"text":"txt"}},{"id":365495,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1842/a/pp1842a.pdf","text":"Report","size":"8.74 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1842 Chapter A"},{"id":365494,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1842/a/coverthb2.jpg"}],"edition":"Version 1.0: July 26, 2019; Version 1.1: March 31, 2022","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/npwrc\" data-mce-href=\"https://www.usgs.gov/centers/npwrc\">Northern Prairie Wildlife Research Center</a> <br>U.S. Geological Survey<br>8711 37th Street Southeast <br>Jamestown, ND 58401</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>North American Grassland and Wetland Habitats</li><li>North American Grassland and Wetland Habitats after European Settlement</li><li>North American Sagebrush Habitats Before and After European Settlement</li><li>Grassland Birds</li><li>Maintaining and Managing Grasslands for Grassland Birds</li><li>Final Thoughts</li><li>Summary</li><li>References</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2019-07-26","revisedDate":"2022-03-31","noUsgsAuthors":false,"publicationDate":"2019-07-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Shaffer, Jill A. 0000-0003-3172-0708 jshaffer@usgs.gov","orcid":"https://orcid.org/0000-0003-3172-0708","contributorId":3184,"corporation":false,"usgs":true,"family":"Shaffer","given":"Jill","email":"jshaffer@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":763281,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeLong, John P. 0000-0003-0558-8213","orcid":"https://orcid.org/0000-0003-0558-8213","contributorId":215841,"corporation":false,"usgs":false,"family":"DeLong","given":"John P.","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":763282,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70207197,"text":"70207197 - 2019 - The 2016 Lamplugh rock avalanche, Alaska: Deposit structures and emplacement dynamics","interactions":[],"lastModifiedDate":"2019-12-11T14:28:32","indexId":"70207197","displayToPublicDate":"2019-07-26T14:26:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2604,"text":"Landslides","active":true,"publicationSubtype":{"id":10}},"title":"The 2016 Lamplugh rock avalanche, Alaska: Deposit structures and emplacement dynamics","docAbstract":"Supraglacial landslides result from the catastrophic failure of periglacial rock slopes and deposit large volumes of rock and ice onto the glacier surface. The most remarkable features of these landslides are their prominent long flowbands and a high mobility that exceeds that of their counterparts in other environments. Based on field surveys, high-resolution digital elevation models, and continuous seismic data, we show that the emplacement dynamics of the 2016 rock avalanche on Lamplugh Glacier were characterized by two distinct stages. During the first stage, the debris traveled about 5 km from the base of the slope. Clear long-period seismic signals during this stage record strong interactions of the rock avalanche debris with the ground, suggesting dynamic processes such as grain collisions and fragmentation. The second stage was essentially aseismic at long periods and dominated by low-friction sliding at slow deceleration rates. A higher density of flowbands and increased entrainment of snow from the runout path characterize the morphology of this second-stage distal deposition. Around the margins, lobes are offset by up to 400 m along major strike-slip faults, whereas within individual lobes, offsets between flowbands are much less pronounced (0 to < 10 m). The two-stage emplacement model may explain the higher apparent mobility of supraglacial landslides.","language":"English","publisher":"Springer","doi":"10.1007/s10346-019-01225-4","usgsCitation":"Dufresne, A., Wolken, G., Hibert, C., Bessette-Kirton, E., Coe, J.A., Geertsema, M., and Ekström, G., 2019, The 2016 Lamplugh rock avalanche, Alaska: Deposit structures and emplacement dynamics: Landslides, v. 16, no. 12, p. 2301-2319, https://doi.org/10.1007/s10346-019-01225-4.","productDescription":"19 p.","startPage":"2301","endPage":"2319","ipdsId":"IP-107730","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":370180,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska ","otherGeospatial":"Glacier Bay National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -138.25195312499997,\n              58.18808048517292\n            ],\n            [\n              -135.9832763671875,\n              58.18808048517292\n            ],\n            [\n              -135.9832763671875,\n              59.00662762374203\n            ],\n            [\n              -138.25195312499997,\n              59.00662762374203\n            ],\n            [\n              -138.25195312499997,\n              58.18808048517292\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"16","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Dufresne, A.","contributorId":221163,"corporation":false,"usgs":false,"family":"Dufresne","given":"A.","email":"","affiliations":[{"id":40343,"text":"RWTH-Aachen University, Lochnerstr,  Aachen, Germany","active":true,"usgs":false}],"preferred":false,"id":777251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolken, G.","contributorId":146508,"corporation":false,"usgs":false,"family":"Wolken","given":"G.","email":"","affiliations":[],"preferred":false,"id":777252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hibert, C","contributorId":221164,"corporation":false,"usgs":false,"family":"Hibert","given":"C","email":"","affiliations":[{"id":40344,"text":"University of Strasbourg/EOST, Strasbourg, France","active":true,"usgs":false}],"preferred":false,"id":777253,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bessette-Kirton, Erin 0000-0002-2797-0694 ebessette-kirton@usgs.gov","orcid":"https://orcid.org/0000-0002-2797-0694","contributorId":177153,"corporation":false,"usgs":true,"family":"Bessette-Kirton","given":"Erin","email":"ebessette-kirton@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":777254,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":777255,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Geertsema, M. 0000-0002-4650-8251","orcid":"https://orcid.org/0000-0002-4650-8251","contributorId":167412,"corporation":false,"usgs":false,"family":"Geertsema","given":"M.","affiliations":[],"preferred":false,"id":777256,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ekström, G","contributorId":221165,"corporation":false,"usgs":false,"family":"Ekström","given":"G","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":777257,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70204698,"text":"70204698 - 2019 - Demographic factors affecting population growth in giant gartersnakes","interactions":[],"lastModifiedDate":"2019-08-29T12:05:46","indexId":"70204698","displayToPublicDate":"2019-07-26T12:12:18","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Demographic factors affecting population growth in giant gartersnakes","docAbstract":"<p>Demographic models provide insight into which vital rates and life stages contribute most to population growth. Integral projection models (IPMs) offer flexibility in matching model structure to a species’ demography. For many rare species, data are lacking for key vital rates, and uncertainty might dissuade researchers from attempting to build a demographic model. We present work that highlights how the implications of uncertainties and unknowns can be explored by building and analyzing alternative models. We constructed IPMs for the threatened giant gartersnake (<i>Thamnophis gigas</i>) based on published studies to determine where management efforts could be targeted to have the greatest effect on population persistence and what unknowns remain for future research. Given uncertainty in the survival of snakes during their first year, and in the form of the size‐survival relationship, we modeled a range of scenarios and evaluated where models agree about factors influencing population growth and where discrepancies exist. For most scenarios, the survival of large adult females had the greatest influence on population growth, but the relative importance of juvenile versus adult somatic growth for population growth was dependent on the recruitment probability and the shape of the size‐survival function. More data on temporal variation and covariance among vital rates would improve stochastic models for the giant gartersnake. This paper demonstrates the effectiveness of IPMs for studying the demography of reptiles and the value of the model‐building process for formalizing what is known and unknown about the demography of rare species. Published 2019. This article is a U.S. Government work and is in the public domain in the USA.</p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21728","usgsCitation":"Rose, J.P., Ersan, J., Wylie, G., Casazza, M.L., and Halstead, B., 2019, Demographic factors affecting population growth in giant gartersnakes: Journal of Wildlife Management, v. 83, no. 7, p. 1540-1551, https://doi.org/10.1002/jwmg.21728.","productDescription":"12 p.","startPage":"1540","endPage":"1551","ipdsId":"IP-101812","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":437380,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9IBSR18","text":"USGS data release","linkHelpText":"Code and Data Files to Construct an Integral Projection Model for Giant Gartersnakes (Thamnophis gigas) in the Sacramento Valley, California, 1995-2017"},{"id":366444,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.06909179687501,\n              38.0091482264894\n            ],\n            [\n              -121.20666503906249,\n              38.0091482264894\n            ],\n            [\n              -121.20666503906249,\n              39.57605638518604\n            ],\n            [\n              -122.06909179687501,\n              39.57605638518604\n            ],\n            [\n              -122.06909179687501,\n              38.0091482264894\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"83","issue":"7","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Rose, Jonathan P. 0000-0003-0874-9166 jprose@usgs.gov","orcid":"https://orcid.org/0000-0003-0874-9166","contributorId":199339,"corporation":false,"usgs":true,"family":"Rose","given":"Jonathan","email":"jprose@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":768109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ersan, Julia 0000-0002-1549-7561","orcid":"https://orcid.org/0000-0002-1549-7561","contributorId":218034,"corporation":false,"usgs":true,"family":"Ersan","given":"Julia","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":768110,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wylie, Glenn D. 0000-0002-7061-6658","orcid":"https://orcid.org/0000-0002-7061-6658","contributorId":207594,"corporation":false,"usgs":false,"family":"Wylie","given":"Glenn D.","affiliations":[],"preferred":false,"id":768111,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":768112,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":768108,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70206393,"text":"70206393 - 2019 - A spatial model of streaked horned lark breeding habitat in the Columbia River, USA","interactions":[],"lastModifiedDate":"2019-11-04T10:00:40","indexId":"70206393","displayToPublicDate":"2019-07-26T06:58:04","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"A spatial model of streaked horned lark breeding habitat in the Columbia River, USA","docAbstract":"<p>The streaked horned lark (hereafter “lark”; <i>Eremophila alpestris strigata</i>) is a federally listed bird subspecies of the Pacific Northwest that occupies open landscapes with short vegetation and abundant bare ground. Across its breeding range, which has contracted dramatically, the lark relies primarily on human-modified habitats maintained in early successional states (e.g., agricultural fields, airfields, deposition islands). The focus of our study is the lower Columbia River where larks primarily occupy deposition islands created as a byproduct of shipping channel deepening (dredging) projects. The U.S. Army Corps of Engineers has proactively adopted a shifting-habitat-mosaic management approach when placing dredge (sand) materials to maintain lark habitat throughout the project area. To help achieve their goal, we created a geospatial tool capable of quantifying and tracking habitat suitability for larks throughout the project area with satellite imagery. We created spatial models of lark breeding habitat by incorporating lark survey data, Sentinel-2 satellite imagery, dredge-deposition maps, and surface-elevation models. We built candidate predictive models of lark breeding habitat after combining survey data (years 2016 and 2017), predictor variables, and logistic regression. In addition, we created a novel seral-stage predictor variable to identify young, mature, old, and unsuitable locations; critical information for lark conservation planning and dredge-disposal operational planning. We challenged probability models the year they were constructed (2016) and the following year (2017) with set-aside survey data. The best model contained terrain ruggedness, deposition age, vegetation greenness (e.g., lushness and density of vegetation) inside a 10-m cell, and heterogeneity in greenness within a 100-m radius. Verification accuracy ranged from 75 to 83% depending on the model tested and year. Importantly, the seral-stage variable allowed us to quantify and locate early, optimal, and late habitats. Model results will facilitate conservation planning decisions by informing real-time management decisions. Furthermore, they provide a foundation for application in other human-modified habitats across the species’ range.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2019.108734","usgsCitation":"Hatten, J., Slater, G.L., Treadwell, J.L., and Stevenson, M.R., 2019, A spatial model of streaked horned lark breeding habitat in the Columbia River, USA: Ecological Modelling, v. 409, 108734, 23 p., https://doi.org/10.1016/j.ecolmodel.2019.108734.","productDescription":"108734, 23 p.","ipdsId":"IP-104993","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":467421,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2019.108734","text":"Publisher Index Page"},{"id":368862,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Columbia 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,{"id":70206149,"text":"70206149 - 2019 - Three-layered silver nanoparticles to trace dissolution and association to a green alga","interactions":[],"lastModifiedDate":"2019-10-24T06:53:33","indexId":"70206149","displayToPublicDate":"2019-07-26T06:52:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2809,"text":"Nanotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Three-layered silver nanoparticles to trace dissolution and association to a green alga","docAbstract":"Core-shell silver nanoparticles (NPs) consisting of an inner Ag core and successive layers of Au and Ag (Ag@Au@Ag) were used to measure the simultaneous association of Ag NPs and ionic Ag by the green alga Chlamydomonas (C.) reinhardtii. Dissolution of the inner Ag core was prevented by a gold (Au) layer, while the outer Ag layer was free to dissolve. In short term experiments, we exposed C. reinhardtii to a range of environmentally realistic Ag concentrations added as AgNO3 or as NPs. Results provide three lines of evidence for the greater cell-association of NPs compared to dissolved Ag over the concentration range tested, assuming that cell-association comprises both uptake and adsorption. First, the cell-association  rate constants (kuw) for total Ag (AgNP+D), NPs (AgNP) and AuNP were similar and 2.2-fold higher than the one from AgD exposure, suggesting predominant association  of the particles over the dissolved form. Second, model calculations based upon Ag fluxes suggested that only 6-33% of algal burden  was from AgD. Thirdly, the significantly lower AgNP/Au ratio measured with the algae after exposure (2.1 ± 0.1) compared to the AgNP/Au ratio of the NPs in the media (2.47 ± 0.05) suggests cell-association of NPs depleted in Ag. Core-shell NPs provide an innovative tool to understand NP behavior and to directly delineate Ag accumulation from ion and NPs in aquatic systems.","language":"English","publisher":"Taylor and Francis","doi":"10.1080/17435390.2019.1640912","usgsCitation":"Ponton, D., Croteau, M.N., Luoma, S.N., Pourhoseini, S., Merrifield, R., and Jamie Lead, 2019, Three-layered silver nanoparticles to trace dissolution and association to a green alga: Nanotoxicology, v. 13, no. 9, p. 1149-1160, https://doi.org/10.1080/17435390.2019.1640912.","productDescription":"12 p.","startPage":"1149","endPage":"1160","ipdsId":"IP-087209","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":368546,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Ponton, Dominic","contributorId":219987,"corporation":false,"usgs":false,"family":"Ponton","given":"Dominic","email":"","affiliations":[{"id":40104,"text":"University of Montreal, Canada","active":true,"usgs":false}],"preferred":false,"id":773729,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Croteau, Marie Noele 0000-0003-0346-3580 mcroteau@usgs.gov","orcid":"https://orcid.org/0000-0003-0346-3580","contributorId":895,"corporation":false,"usgs":true,"family":"Croteau","given":"Marie","email":"mcroteau@usgs.gov","middleInitial":"Noele","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":773728,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Luoma, Samuel N","contributorId":219988,"corporation":false,"usgs":false,"family":"Luoma","given":"Samuel","email":"","middleInitial":"N","affiliations":[{"id":40105,"text":"UC Davis, CA","active":true,"usgs":false}],"preferred":false,"id":773730,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pourhoseini, Sahar","contributorId":219989,"corporation":false,"usgs":false,"family":"Pourhoseini","given":"Sahar","email":"","affiliations":[{"id":40106,"text":"University of South Carolina, SC","active":true,"usgs":false}],"preferred":false,"id":773731,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Merrifield, Ruth","contributorId":219990,"corporation":false,"usgs":false,"family":"Merrifield","given":"Ruth","email":"","affiliations":[{"id":40106,"text":"University of South Carolina, SC","active":true,"usgs":false}],"preferred":false,"id":773732,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jamie Lead","contributorId":219991,"corporation":false,"usgs":false,"family":"Jamie Lead","affiliations":[{"id":40106,"text":"University of South Carolina, SC","active":true,"usgs":false}],"preferred":false,"id":773733,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70205196,"text":"70205196 - 2019 - Wetland management strategy to reduce mercury export in water and bioaccumulation in fish","interactions":[],"lastModifiedDate":"2019-10-09T09:57:15","indexId":"70205196","displayToPublicDate":"2019-07-25T15:27:08","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Wetland management strategy to reduce mercury export in water and bioaccumulation in fish","docAbstract":"<p>Wetland environments provide numerous ecosystem services but also facilitate methylmercury (MeHg) production and bioaccumulation. We developed a wetland‐management technique to reduce MeHg concentrations in wetland fish and water. We physically modified seasonal wetlands by constructing open‐ and deep‐water treatment cells at the downstream end of seasonal wetlands to promote naturally occurring MeHg‐removal processes. We assessed the effectiveness of reducing mercury (Hg) concentrations in surface water and western mosquitofish that were caged at specific locations within 4 control and 4 treatment wetlands. Methylmercury concentrations in wetland water were successfully decreased within treatment cells during only the third year of study; however, treatment cells were not effective for reducing total Hg concentrations. Furthermore, treatment cells were not effective for reducing total Hg concentrations in wetland fish. Mercury concentrations in fish were not correlated with total Hg concentrations in filtered, particulate, or whole water; and the slope of the correlation with water MeHg concentrations differed between months. Fish total Hg concentrations were weakly correlated with water MeHg concentrations in April when fish were introduced into cages but were not correlated in May when fish were retrieved from cages. Fish total Hg concentrations were greater in treatment wetlands than in control wetlands the year after the treatment wetlands’ construction but declined by the second year. During the third year, fish total Hg concentrations increased in both control and treatment wetlands after an unexpected regional flooding event. Overall, we found limited support for the use of open‐ and deep‐water treatment cells at the downstream end of wetlands to reduce MeHg concentrations in water but not fish. We suggest that additional evaluation over a longer period of time is necessary.&nbsp;</p>","language":"English","publisher":"Wiley","doi":"10.1002/etc.4535","usgsCitation":"Ackerman, J., Fleck, J., Eagles-Smith, C.A., Marvin-DiPasquale, M.C., Windham-Myers, L., Herzog, M.P., and McQuillen, H.L., 2019, Wetland management strategy to reduce mercury export in water and bioaccumulation in fish: Environmental Toxicology and Chemistry, v. 38, no. 10, p. 2178-2196, https://doi.org/10.1002/etc.4535.","productDescription":"19 p.","startPage":"2178","endPage":"2196","ipdsId":"IP-104169","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":437381,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NUANQU","text":"USGS data release","linkHelpText":"Wetland Management Strategy to Reduce Mercury Export in Water and Bioaccumulation in Fish"},{"id":367232,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"10","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":770315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fleck, Jacob 0000-0002-3217-3972 jafleck@usgs.gov","orcid":"https://orcid.org/0000-0002-3217-3972","contributorId":168694,"corporation":false,"usgs":true,"family":"Fleck","given":"Jacob","email":"jafleck@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":770316,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":770317,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marvin-DiPasquale, Mark C. 0000-0002-8186-9167 mmarvin@usgs.gov","orcid":"https://orcid.org/0000-0002-8186-9167","contributorId":1485,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","email":"mmarvin@usgs.gov","middleInitial":"C.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":770318,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Windham-Myers, Lisamarie lwindham-myers@usgs.gov","contributorId":218804,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","email":"lwindham-myers@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":770319,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Herzog, Mark P. 0000-0002-5203-2835 mherzog@usgs.gov","orcid":"https://orcid.org/0000-0002-5203-2835","contributorId":131158,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark","email":"mherzog@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":770320,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McQuillen, Harry L.","contributorId":218805,"corporation":false,"usgs":false,"family":"McQuillen","given":"Harry","email":"","middleInitial":"L.","affiliations":[{"id":6696,"text":"BLM","active":true,"usgs":false}],"preferred":false,"id":770321,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70207453,"text":"70207453 - 2019 - The effect of stress changes on time-dependent earthquake probabilities for the central Wasatch Fault Zone, Utah, USA","interactions":[],"lastModifiedDate":"2019-12-19T14:43:31","indexId":"70207453","displayToPublicDate":"2019-07-25T14:41:09","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"The effect of stress changes on time-dependent earthquake probabilities for the central Wasatch Fault Zone, Utah, USA","docAbstract":"Static and quasi-static Coulomb stress changes produced by large earthquakes can modify the probability of occurrence of subsequent events on neighboring faults. This approach is based on physical (Coulomb stress changes) and statistical (probability calculations) models, which are influenced by the quality and quantity of data available in the study region. Here, we focus on the Wasatch Fault Zone (WFZ), a well-studied active normal fault system having abundant geologic and paleoseismological data. Paleoseismological trench investigations of the WFZ indicate that at least 24 large, surface-faulting earthquakes have ruptured the fault’s five central, 35–59-km long segments since ~7 ka. Our goal is to determine if the stress changes due to the youngest paleoevents have significantly modified the present-day probability of occurrence of large earthquakes on each of the segments. For each segment, we modeled the cumulative (coseismic + postseismic) Coulomb stress changes (∆CFScum) due to earthquakes younger than the most recent event on the segment in question and applied the resulting values to the time-dependent probability calculations. Results from the Coulomb stress modeling suggest that the Brigham City, Salt Lake City, and Provo segments have accumulated ∆CFScum larger than 10 bars, whereas the Weber segment has experienced a stress decrease of 5 bars, in the scenario of recent rupture of the Great Salt Lake fault to the west. Probability calculations predict high probability of occurrence for the Brigham City and Salt Lake City segments, due to their long elapsed times (>1-2 ka) when compared to the Weber, Provo, and Nephi segments (< 1 ka). The range of calculated coefficients of variation (CV) has a large influence on the final probabilities, mostly in the case of the Brigham City segment. Finally, when the Coulomb stress and the probability models are combined, our results indicate that the ∆CFScum resulting from earthquakes postdating the youngest events on each of the five segments significantly affects the probability calculations for three of the segments: Brigham City, Salt Lake City, and Provo. The probability of occurrence of a large earthquake in the next 50 years on these three segments may therefore be underestimated if a time-independent approach, or a time-dependent approach that does not consider ∆CFS, is adopted.","language":"English","publisher":"Oxford Academic","doi":"10.1093/gji/ggz336","usgsCitation":"Verdecchia, A., Carena, S., Pace, B., and DuRoss, C., 2019, The effect of stress changes on time-dependent earthquake probabilities for the central Wasatch Fault Zone, Utah, USA: Geophysical Journal International, v. 219, no. 2, p. 1065-1081, https://doi.org/10.1093/gji/ggz336.","productDescription":"17 p.","startPage":"1065","endPage":"1081","ipdsId":"IP-105869","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":467422,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://eartharxiv.org/bw6ur/","text":"External Repository"},{"id":370511,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"219","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Verdecchia, A.","contributorId":221418,"corporation":false,"usgs":false,"family":"Verdecchia","given":"A.","affiliations":[{"id":40369,"text":"Institute of Geology, Mineralogy and Geophysics, Ruhr-University Bochum, Bochum, Germany; Department of Earth and Environmental Sciences, Ludwig-Maximilians University, Munich, Germany","active":true,"usgs":false}],"preferred":false,"id":778107,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carena, S.","contributorId":221419,"corporation":false,"usgs":false,"family":"Carena","given":"S.","email":"","affiliations":[{"id":40370,"text":"Department of Earth and Environmental Sciences, Ludwig-Maximilians University, Munich, Germany","active":true,"usgs":false}],"preferred":false,"id":778108,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pace, B.","contributorId":221420,"corporation":false,"usgs":false,"family":"Pace","given":"B.","email":"","affiliations":[{"id":40371,"text":"DiSPUTer, Universita' G. d'Annunzio di Chieti-Pescara, Chieti, Italy","active":true,"usgs":false}],"preferred":false,"id":778109,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DuRoss, Christopher B. 0000-0002-6963-7451 cduross@usgs.gov","orcid":"https://orcid.org/0000-0002-6963-7451","contributorId":152321,"corporation":false,"usgs":true,"family":"DuRoss","given":"Christopher","email":"cduross@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":778110,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204456,"text":"70204456 - 2019 - Alongshore momentum balance over shoreface-connected ridges, Fire Island, NY","interactions":[],"lastModifiedDate":"2019-07-26T09:51:59","indexId":"70204456","displayToPublicDate":"2019-07-25T12:47:59","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1333,"text":"Continental Shelf Research","active":true,"publicationSubtype":{"id":10}},"title":"Alongshore momentum balance over shoreface-connected ridges, Fire Island, NY","docAbstract":"Hydrodynamic and hydrographic data collected on the inner shelf of Fire Island, NY, over a region of shoreface-connected ridges (SFCRs) are used to describe wind-driven circulation over uneven topographies along relatively straight coastlines. The data revealed a predominantly alongshore flow, under westward wind forcing, with localized offshore current veering over the SFCR crests associated with an onshore veering over the adjacent troughs. Momentum balance analysis of the observations revealed that local acceleration, advective acceleration, and bottom stress are balanced by wind stress and regional (>100 km) pressure gradient force. Numerical model results based on simulations of an idealized SFCR bathymetry, as in Warner et al. (2014) but forced with the observed winds, are used to verify the experimentally derived results and constraint inaccuracies in the momentum balance term relationships revealed using the field data. As with previous SFCR studies, our experimental results indicate a current veering over ridge crests. Veering is driven primarily by two processes: cross-shore variation of alongshore advective acceleration which creates cross-shore pressure gradient and drives flow (described as a Bernoulli-like process), and, bottom frictional-torque.\nA synthesis of the numerical and experimental data revealed that the total pressure gradient force can be considered as the sum of a local and a regional pressure gradient force. The former is correlated with the alongshore advective acceleration that develops over the crest of the ridges resembling a Bernoulli-like pressure-flow relationship. The regional pressure gradient force is related to wind stress with which maintains a strong, negative relationship. The realistic driving force analysis revealed the different contributions of the local and regional scale pressure gradients. Under realistic and variable wind conditions the regional pressure gradients are more important and the influence of the local scale pressure gradient increases as the flow reaches quasi steady-state conditions. A time scale of 6 hours was defined as the temporal scale required for the local pressure gradients to have an effect","language":"English","publisher":"Elsevier","doi":"10.1016/j.csr.2019.07.005","usgsCitation":"Ofsthun, C., Wu, X., Voulgaris, G., and Warner, J., 2019, Alongshore momentum balance over shoreface-connected ridges, Fire Island, NY: Continental Shelf Research, v. 186, p. 21-33, https://doi.org/10.1016/j.csr.2019.07.005.","productDescription":"13 p.","startPage":"21","endPage":"33","ipdsId":"IP-093237","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467423,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.csr.2019.07.005","text":"Publisher Index Page"},{"id":365951,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Fire Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.31863403320312,\n              40.66709790906187\n            ],\n            [\n              -72.46444702148438,\n              40.66709790906187\n            ],\n            [\n              -72.46444702148438,\n              40.85537053192494\n            ],\n            [\n              -73.31863403320312,\n              40.85537053192494\n            ],\n            [\n              -73.31863403320312,\n              40.66709790906187\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"186","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ofsthun, Conor","contributorId":217600,"corporation":false,"usgs":false,"family":"Ofsthun","given":"Conor","email":"","affiliations":[],"preferred":false,"id":767148,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wu, Xiaodong","contributorId":217601,"corporation":false,"usgs":false,"family":"Wu","given":"Xiaodong","email":"","affiliations":[],"preferred":false,"id":767149,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Voulgaris, George","contributorId":26377,"corporation":false,"usgs":false,"family":"Voulgaris","given":"George","email":"","affiliations":[{"id":27143,"text":"University of South Carolina, Columbia, SC","active":true,"usgs":false}],"preferred":false,"id":767150,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":767151,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204483,"text":"70204483 - 2019 - Towards recovery of an endangered island endemic: Distributional and behavioral responses of Key Largo woodrats associated with exotic predator removal","interactions":[],"lastModifiedDate":"2019-07-31T14:06:49","indexId":"70204483","displayToPublicDate":"2019-07-25T11:34:45","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Towards recovery of an endangered island endemic: Distributional and behavioral responses of Key Largo woodrats associated with exotic predator removal","docAbstract":"<p><span>Exotic predators create novel ecological contexts for native species, particularly when prey exhibit predator naïve behaviors. Population recovery of island endemic species following predator eradication has been documented broadly, but studies examining mammalian prey behavioral responses to exotic predator removal are less common. The Key Largo woodrat (</span><i>Neotoma floridana smalli</i><span>) is an endangered Florida endemic species that exhibited drastic declines, signified by the loss of natural stick-nests, over the past three decades due to habitat loss and effects from exotic predators. We conducted camera trap surveys of woodrats at supplemental nests and used dynamic multistate occupancy models to evaluate changes in woodrat distribution and stick-nest building behavior over a two-year period of exotic predator (domestic cats [</span><i>Felis catus</i><span>] and Burmese pythons [</span><i>Python bivittatus</i><span>]) removal. The distribution of woodrats using supplemental nests increased from 27% to 39% in the two-year period, while the proportion of occupied supplemental nests with stick-nests increased from 37% in 2013 to 54% in 2015. The probabilities of supplemental nest use and stick-nest building behavior increased over time following a gradient away from the northern extent of Key Largo, an area associated with high cat activity and the only sites of python captures during the surveys. Woodrats that built stick-nests were more detectable than those that did not, which suggests that stick-nest building could make woodrats more susceptible to predation from novel predators when performing the behavior. We documented increasing woodrat occurrence, along with increasing stick-nest building behavior, which supports recovery and management objectives focused on exotic predator removal.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2019.07.032","usgsCitation":"Cove, M., Simons, T., Gardner, B., and O’Connell, A.F., 2019, Towards recovery of an endangered island endemic: Distributional and behavioral responses of Key Largo woodrats associated with exotic predator removal: Biological Conservation, v. 237, p. 423-429, https://doi.org/10.1016/j.biocon.2019.07.032.","productDescription":"7 p.","startPage":"423","endPage":"429","ipdsId":"IP-106113","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467424,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2019.07.032","text":"Publisher Index Page"},{"id":365984,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Crocodile Lake National Wildlife Refuge, North Key Largo","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.33512115478516,\n              25.242522196751892\n            ],\n            [\n              -80.32379150390625,\n              25.229168280105522\n            ],\n            [\n              -80.27847290039062,\n              25.301510302409604\n            ],\n            [\n              -80.27503967285155,\n              25.311752681576287\n            ],\n            [\n              -80.2606201171875,\n              25.326028492609215\n            ],\n            [\n              -80.25581359863281,\n              25.333786379654885\n            ],\n            [\n              -80.27778625488281,\n              25.335027595439435\n            ],\n            [\n              -80.28980255126953,\n              25.324787184543645\n            ],\n            [\n              -80.29151916503906,\n              25.315787320493133\n            ],\n            [\n              -80.30593872070311,\n              25.30678678767568\n            ],\n            [\n              -80.33306121826172,\n              25.286610751172574\n            ],\n            [\n              -80.34095764160156,\n              25.290956642751954\n            ],\n            [\n              -80.36567687988281,\n              25.28536903925994\n            ],\n            [\n              -80.36602020263672,\n              25.280402064492023\n            ],\n            [\n              -80.34164428710938,\n              25.264568475331583\n            ],\n            [\n              -80.3323745727539,\n              25.263947508176397\n            ],\n            [\n              -80.33512115478516,\n              25.242522196751892\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"237","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cove, Michael V.","contributorId":176507,"corporation":false,"usgs":false,"family":"Cove","given":"Michael V.","affiliations":[],"preferred":false,"id":767193,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simons, Theodore","contributorId":217660,"corporation":false,"usgs":false,"family":"Simons","given":"Theodore","affiliations":[{"id":39678,"text":"NC State","active":true,"usgs":false}],"preferred":false,"id":767194,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gardner, Beth","contributorId":91612,"corporation":false,"usgs":false,"family":"Gardner","given":"Beth","affiliations":[{"id":13553,"text":"University of Washington-Seattle","active":true,"usgs":false}],"preferred":false,"id":767195,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Connell, Allan F. 0000-0001-7032-7023 aoconnell@usgs.gov","orcid":"https://orcid.org/0000-0001-7032-7023","contributorId":471,"corporation":false,"usgs":true,"family":"O’Connell","given":"Allan","email":"aoconnell@usgs.gov","middleInitial":"F.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":767192,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70223427,"text":"70223427 - 2019 - Population dynamics and evaluation of management scenarios for white sturgeon in the Sacramento-San Joaquin River basin","interactions":[],"lastModifiedDate":"2021-08-26T16:58:08.151328","indexId":"70223427","displayToPublicDate":"2019-07-25T11:26:56","publicationYear":"2019","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":"Population dynamics and evaluation of management scenarios for white sturgeon in the Sacramento-San Joaquin River basin","docAbstract":"<p><span>Recent surveys suggest a declining population of White Sturgeon&nbsp;</span><i>Acipenser transmontanus</i><span>&nbsp;in the Sacramento–San Joaquin River basin (SSJ), California. Probable reasons for the decline include overharvest and habitat degradation compounded by poor recruitment during recent droughts. Despite the importance and status of White Sturgeon, knowledge of their population dynamics in the SSJ remains incomplete and additional information is needed to further inform management decisions. The purpose of this study was to evaluate the population dynamics of White Sturgeon in the SSJ and use the information to estimate the population-level response under plausible management scenarios. White Sturgeon in the SSJ exhibited fast growth and high rates of mortality and experienced relatively high levels of exploitation. Under current conditions, the population will likely continue to decrease (population growth rate λ&nbsp;=&nbsp;0.97); however, there was considerable uncertainty in estimates of future population growth. Population growth of White Sturgeon in the SSJ was most influenced by the survival of sexually mature adults. The models also suggested that White Sturgeon in the SSJ could reach the replacement rate (i.e., λ&nbsp;≥&nbsp;1.00) if total annual mortality for age-3 and older fish does not exceed 6%. Low levels of exploitation (i.e., &lt;3%) would likely be required to maintain a stable population.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10316","usgsCitation":"Blackburn, S.E., Gingras, M.L., DuBois, J., Jackson, Z.J., and Quist, M.C., 2019, Population dynamics and evaluation of management scenarios for white sturgeon in the Sacramento-San Joaquin River basin: North American Journal of Fisheries Management, v. 39, no. 5, p. 896-912, https://doi.org/10.1002/nafm.10316.","productDescription":"7 p.","startPage":"896","endPage":"912","ipdsId":"IP-103139","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":388552,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento–San Joaquin River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.728271484375,\n              37.337408137077986\n            ],\n            [\n              -121.54998779296874,\n              37.337408137077986\n            ],\n            [\n              -121.54998779296874,\n              38.26621945628273\n            ],\n            [\n              -122.728271484375,\n              38.26621945628273\n            ],\n            [\n              -122.728271484375,\n              37.337408137077986\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"39","issue":"5","noUsgsAuthors":false,"publicationDate":"2019-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Blackburn, Shannon E.","contributorId":264816,"corporation":false,"usgs":false,"family":"Blackburn","given":"Shannon","email":"","middleInitial":"E.","affiliations":[{"id":39599,"text":"ui","active":true,"usgs":false}],"preferred":false,"id":822019,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gingras, Marty L.","contributorId":264817,"corporation":false,"usgs":false,"family":"Gingras","given":"Marty","email":"","middleInitial":"L.","affiliations":[{"id":54562,"text":"cdfw","active":true,"usgs":false}],"preferred":false,"id":822020,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DuBois, Jason","contributorId":264818,"corporation":false,"usgs":false,"family":"DuBois","given":"Jason","email":"","affiliations":[{"id":54562,"text":"cdfw","active":true,"usgs":false}],"preferred":false,"id":822021,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jackson, Zachary J.","contributorId":264819,"corporation":false,"usgs":false,"family":"Jackson","given":"Zachary","email":"","middleInitial":"J.","affiliations":[{"id":37461,"text":"fws","active":true,"usgs":false}],"preferred":false,"id":822022,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Quist, Michael C. 0000-0001-8268-1839 mquist@usgs.gov","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":171392,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","email":"mquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":822018,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204755,"text":"70204755 - 2019 - Using a Bayesian network to understand the importance of coastal storms and undeveloped landscapes for the creation and maintenance of early successional habitat","interactions":[],"lastModifiedDate":"2019-08-15T11:11:11","indexId":"70204755","displayToPublicDate":"2019-07-25T10:50:49","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Using a Bayesian network to understand the importance of coastal storms and undeveloped landscapes for the creation and maintenance of early successional habitat","docAbstract":"<p><span>Coastal storms have consequences for human lives and infrastructure but also create important early successional habitats for myriad species. For example, storm-induced overwash creates nesting habitat for shorebirds like piping plovers (</span><i>Charadrius melodus</i><span>). We examined how piping plover habitat extent and location changed on barrier islands in New York, New Jersey, and Virginia after Hurricane Sandy made landfall following the 2012 breeding season. We modeled nesting habitat using a nest presence/absence dataset that included characterizations of coastal morphology and vegetation. Using a Bayesian network, we predicted nesting habitat for each study site for the years 2010/2011, 2012, and 2014/2015 based on remotely sensed spatial datasets (e.g., lidar, orthophotos). We found that Hurricane Sandy increased piping plover habitat by 9 to 300% at 4 of 5 study sites but that one site saw a decrease in habitat by 27%. The amount, location, and longevity of new habitat appeared to be influenced by the level of human development at each site. At three of the five sites, the amount of habitat created and the time new habitat persisted were inversely related to the amount of development. Furthermore, the proportion of new habitat created in high-quality overwash was inversely related to the level of development on study areas, from 17% of all new habitat in overwash at one of the most densely developed sites to 80% of all new habitat at an undeveloped site. We also show that piping plovers exploited new habitat after the storm, with 14–57% of all nests located in newly created habitat in the 2013 breeding season. Our results quantify the importance of storms in creating and maintaining coastal habitats for beach-nesting species like piping plovers, and these results suggest a negative correlation between human development and beneficial ecological impacts of these natural disturbances.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0209986","usgsCitation":"Zeigler, S.L., Gutierrez, B.T., Sturdivant, E.J., Catlin, D.H., Fraser, J., Hecht, A., Karpanty, S.M., Plant, N.G., and Thieler, E.R., 2019, Using a Bayesian network to understand the importance of coastal storms and undeveloped landscapes for the creation and maintenance of early successional habitat: PLoS ONE, v. 14, no. 7, e0209986, 30 p., https://doi.org/10.1371/journal.pone.0209986.","productDescription":"e0209986, 30 p.","ipdsId":"IP-092113","costCenters":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science 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Center","active":true,"usgs":true}],"preferred":true,"id":768438,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sturdivant, Emily J. 0000-0002-2420-3115 esturdivant@usgs.gov","orcid":"https://orcid.org/0000-0002-2420-3115","contributorId":175325,"corporation":false,"usgs":true,"family":"Sturdivant","given":"Emily","email":"esturdivant@usgs.gov","middleInitial":"J.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":768439,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Catlin, Daniel H.","contributorId":87859,"corporation":false,"usgs":false,"family":"Catlin","given":"Daniel","email":"","middleInitial":"H.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":768440,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fraser, James D.","contributorId":86686,"corporation":false,"usgs":false,"family":"Fraser","given":"James D.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":768441,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hecht, A.","contributorId":99525,"corporation":false,"usgs":false,"family":"Hecht","given":"A.","email":"","affiliations":[],"preferred":false,"id":768442,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Karpanty, Sarah M.","contributorId":63307,"corporation":false,"usgs":false,"family":"Karpanty","given":"Sarah","email":"","middleInitial":"M.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":768443,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":768444,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Thieler, E. Robert 0000-0003-4311-9717 rthieler@usgs.gov","orcid":"https://orcid.org/0000-0003-4311-9717","contributorId":2488,"corporation":false,"usgs":true,"family":"Thieler","given":"E.","email":"rthieler@usgs.gov","middleInitial":"Robert","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":768445,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70204625,"text":"70204625 - 2019 - Decision analysis for the reintroduction of Bull Trout into the lower Pend Oreille River, Washington","interactions":[],"lastModifiedDate":"2019-10-28T10:07:48","indexId":"70204625","displayToPublicDate":"2019-07-25T09:43:23","publicationYear":"2019","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":"Decision analysis for the reintroduction of Bull Trout into the lower Pend Oreille River, Washington","docAbstract":"<p><span>The decision to reintroduce a species can be difficult owing to conflicting opinions and objectives, as well as uncertainty of the outcome. Structured decision making addresses these considerations by identifying realistic fundamental objectives and building achievable management alternatives, within a quantitative modeling framework. The process is driven by participation of stakeholders that represent diverse objectives, policy mandates, and opinions regarding decision alternatives. We applied structured decision making to evaluate reintroduction of Bull Trout&nbsp;</span><i>Salvelinus confluentus</i><span>&nbsp;in the lower Pend Oreille River in northeastern Washington State. We engaged stakeholders from Tribal, municipal, county, state and federal agencies to specify fundamental objectives, formulate feasible reintroduction decisions, and conceptualize a modeling framework that includes biological information and stakeholder assumptions. Stakeholders requested iterative decision sets to determine the optimal recipient streams and release strategies. The optimal decision, based on the fundamental objective of maximizing adult abundance at year 10, was artificial propagation of 4500 juvenile Bull Trout coupled with translocation of 25 adult migrants to be reintroduced into a tributary and lake system that produced at least 18% more adult fish relative to alternatives. Sensitivity analyses were robust to the identity of the recipient stream (i.e., Sullivan Lake/Harvey Creek was always the optimal recipient stream) but suggested that maximizing the number of artificially produced juveniles released could produce a similar number of adult Bull Trout as the coupled release strategy. Results also suggested that ensuring fish passage at the Albeni Falls Dam in the mainstem Pend Oreille River could increase the abundance of adult fish. The process followed for this case study can be adapted to similar decisions regarding reintroduction or other translocations of fish in other systems.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10334","usgsCitation":"Benjamin, J.R., Brignon, W.R., and Dunham, J.B., 2019, Decision analysis for the reintroduction of Bull Trout into the lower Pend Oreille River, Washington: North American Journal of Fisheries Management, v. 39, no. 5, p. 1026-1045, https://doi.org/10.1002/nafm.10334.","productDescription":"20 p.","startPage":"1026","endPage":"1045","additionalOnlineFiles":"N","ipdsId":"IP-104456","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":366328,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Pend Oreille River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.48779296875,\n              48.07257353224749\n            ],\n            [\n              -116.74072265625,\n              48.07257353224749\n            ],\n            [\n              -116.74072265625,\n              48.99103162515999\n            ],\n            [\n              -117.48779296875,\n              48.99103162515999\n            ],\n            [\n              -117.48779296875,\n              48.07257353224749\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"39","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Benjamin, Joseph R. 0000-0003-3733-6838 jbenjamin@usgs.gov","orcid":"https://orcid.org/0000-0003-3733-6838","contributorId":3999,"corporation":false,"usgs":true,"family":"Benjamin","given":"Joseph","email":"jbenjamin@usgs.gov","middleInitial":"R.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":767827,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brignon, William R.","contributorId":193087,"corporation":false,"usgs":false,"family":"Brignon","given":"William","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":767828,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":147808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","email":"jdunham@usgs.gov","middleInitial":"B.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":767829,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70223294,"text":"70223294 - 2019 - Spatial and temporal variation of ecosystem properties at macroscales","interactions":[],"lastModifiedDate":"2021-08-20T14:04:32.279269","indexId":"70223294","displayToPublicDate":"2019-07-25T08:59:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal variation of ecosystem properties at macroscales","docAbstract":"<p><span>Although spatial and temporal variation in ecological properties has been well-studied, crucial knowledge gaps remain for studies conducted at macroscales and for ecosystem properties related to material and energy. We test four propositions of spatial and temporal variation in ecosystem properties within a macroscale (1000&nbsp;km's) extent. We fit Bayesian hierarchical models to thousands of observations from over two decades to quantify four components of variation – spatial (local and regional) and temporal (local and coherent); and to model their drivers. We found strong support for three propositions: (1) spatial variation at local and regional scales are large and roughly equal, (2) annual temporal variation is mostly local rather than coherent, and, (3) spatial variation exceeds temporal variation. Our findings imply that predicting ecosystem responses to environmental changes at macroscales requires consideration of the dominant spatial signals at both local and regional scales that may overwhelm temporal signals.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ele.13346","usgsCitation":"Soranno, P.A., Wagner, T., Collins, S., Lapierre, J., and Oliver, S.K., 2019, Spatial and temporal variation of ecosystem properties at macroscales: Ecology Letters, v. 22, no. 10, p. 1587-1598, https://doi.org/10.1111/ele.13346.","productDescription":"12 p.","startPage":"1587","endPage":"1598","ipdsId":"IP-101556","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":388232,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": 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]\n}","volume":"22","issue":"10","noUsgsAuthors":false,"publicationDate":"2019-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Soranno, Patricia A.","contributorId":264518,"corporation":false,"usgs":false,"family":"Soranno","given":"Patricia","email":"","middleInitial":"A.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":821629,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":821628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collins, Sarah M.","contributorId":264519,"corporation":false,"usgs":false,"family":"Collins","given":"Sarah M.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":821630,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lapierre, Jean-Francois","contributorId":264522,"corporation":false,"usgs":false,"family":"Lapierre","given":"Jean-Francois","affiliations":[{"id":54487,"text":"University of Montreal","active":true,"usgs":false}],"preferred":false,"id":821631,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oliver, Samantha K. 0000-0001-5668-1165","orcid":"https://orcid.org/0000-0001-5668-1165","contributorId":211886,"corporation":false,"usgs":true,"family":"Oliver","given":"Samantha","email":"","middleInitial":"K.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":821632,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204472,"text":"70204472 - 2019 - Climate vulnerability assessment for Pacific salmon and steelhead in the California Current Large Marine Ecosystem","interactions":[],"lastModifiedDate":"2019-07-26T09:54:59","indexId":"70204472","displayToPublicDate":"2019-07-24T10:52:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Climate vulnerability assessment for Pacific salmon and steelhead in the California Current Large Marine Ecosystem","docAbstract":"Major ecological realignments are already occurring in response to climate change.  To be successful, conservation strategies now need to account for geographical patterns in traits sensitive to climate change, as well as climate threats to species-level diversity.  As part of an effort to provide such information, we conducted a climate vulnerability assessment that included all Pacific salmon and steelhead (Oncorhynchus spp.) listed under the U.S. Endangered Species Act.  Using an expert-based scoring system, we ranked 20 attributes for the 28 listed units, and 5 additional units.  Attributes captured biological sensitivity, or the strength of linkages between each listing unit and the present climate; climate exposure, or the magnitude of projected change in local environmental conditions; and adaptive capacity, or the ability to modify phenotypes to cope with new climatic conditions.  Each listing unit was then assigned one of four vulnerability categories.","language":"English","publisher":"PLOS ONE","doi":"10.1371/journal.pone.0217711","usgsCitation":"Crozier, L.G., McClure, M., Beechie, T.J., Bograd, S.J., Boughton, D.A., Carr, M.H., Cooney, T.D., Dunham, J.B., Greene, C.M., Haltuch, M.A., Hazen, E.L., Holzer, D.M., Huff, D.D., Johnson, R.C., Jordan, C.E., Kaplan, I.C., Lindley, S., Mantua, N.J., Moyle, P.B., Myers, J.M., Nelson, M.W., Spence, B., Weitkamp, L.A., Williams, T.H., and Willis-Norton, E., 2019, Climate vulnerability assessment for Pacific salmon and steelhead in the California Current Large Marine Ecosystem: PLoS ONE, v. 14, no. 7, e0217711, 49 p., https://doi.org/10.1371/journal.pone.0217711.","productDescription":"e0217711, 49 p.","ipdsId":"IP-106777","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":467426,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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,{"id":70204133,"text":"tm7C23 - 2019 - Resource Assessment Economic Filter (RAEF)—A graphical user interface supporting implementation of simple engineering mine cost analyses of quantitative mineral resource assessment simulations","interactions":[],"lastModifiedDate":"2019-07-25T10:29:02","indexId":"tm7C23","displayToPublicDate":"2019-07-24T09:15:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"7-C23","displayTitle":"Resource Assessment Economic Filter (RAEF)—A Graphical User Interface Supporting Implementation of Simple Engineering Mine Cost Analyses of Quantitative Mineral Resource Assessment Simulations","title":"Resource Assessment Economic Filter (RAEF)—A graphical user interface supporting implementation of simple engineering mine cost analyses of quantitative mineral resource assessment simulations","docAbstract":"<p>Economic evaluations of undiscovered mineral resources provide important context in which to consider the results of quantitative mineral resource assessments. The U.S. Geological Survey economic analysis method uses a simple engineering cost model approach developed by the U.S. Bureau of Mines that applies mine and mill engineering cost equations to simulated undiscovered deposits. The important characteristics of these deposits are derived from Monte Carlo simulations that combine probabilistic estimates of undiscovered deposits that might occur in a study area and a grade-tonnage model defined for a specific deposit type. This report describes the Resource Assessment Economic Filter (RAEF), a graphical user interface (GUI) tool that applies a set of mine cost equations to the deposits under consideration. RAEF, which is written in the open-source statistical programming language R, is an easy-to-use tool to apply user-defined mine, mill, and study area parameters to simulated deposits. For a given deposit type, it estimates the undiscovered resources that might be economic to extract. In addition, RAEF provides a series of graphical, tabular, and statistical summaries that document the results of the economic filter analysis.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm7C23","usgsCitation":"Shapiro, J.L., and Robinson, G.R., Jr., 2019, Resource Assessment Economic Filter (RAEF)—A graphical user interface supporting implementation of simple engineering mine cost analyses of quantitative mineral resource assessment simulations: U.S. Geological Survey Techniques and Methods, book 7, chap. C23, 18 p., https://doi.org/10.3133/tm7C23.","productDescription":"18 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-104850","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":365868,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/07/c23/tm7c23.pdf","text":"Report","size":"1.69 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 7-C23"},{"id":365867,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/07/c23/coverthb.jpg"},{"id":365869,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/tm/07/c23/tm7c23_package.zip","text":"Resource Assessment Economic Filter Package","size":"125.87 MB","linkFileType":{"id":6,"text":"zip"}}],"contact":"<p><a href=\"https://www.usgs.gov/centers/emersc\" data-mce-href=\"https://www.usgs.gov/centers/emersc\">Eastern Mineral and Environmental Resources Science Center</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>954 Mail Stop<br>Reston, VA 20192</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Background</li><li>Resource Assessment Economic Filter Summary</li><li>Input Parameters</li><li>Economic Filter Process</li><li>Resource Assessment Economic Filter Zip File</li><li>Installation Comments</li><li>Inputs to Resource Assessment Economic Filter</li><li>Graphical User Interface Option Versus Batch Run Option</li><li>Resource Assessment Economic Filter Startup Dialog</li><li>Economic Filter Results</li><li>Ore Grade and Ore Value Tonnage Graphs</li><li>Empirical Mode</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2019-07-24","noUsgsAuthors":false,"publicationDate":"2019-07-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Shapiro, Jason L. 0000-0002-7641-9735","orcid":"https://orcid.org/0000-0002-7641-9735","contributorId":204311,"corporation":false,"usgs":true,"family":"Shapiro","given":"Jason L.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":765764,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Jr. 0000-0002-9676-9564","orcid":"https://orcid.org/0000-0002-9676-9564","contributorId":8479,"corporation":false,"usgs":true,"family":"Robinson","suffix":"Jr.","email":"","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":765765,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70204891,"text":"70204891 - 2019 - Endless forams: >34,000 modern planktonic foraminiferal images for taxonomic training and automated species recognition using convolutional neural networks","interactions":[],"lastModifiedDate":"2019-08-21T14:58:57","indexId":"70204891","displayToPublicDate":"2019-07-23T14:58:11","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5790,"text":"Paleoceanography and Paleoclimatology","active":true,"publicationSubtype":{"id":10}},"title":"Endless forams: >34,000 modern planktonic foraminiferal images for taxonomic training and automated species recognition using convolutional neural networks","docAbstract":"Accurate planktonic foraminiferal species identification is central to many paleoceanographic studies, from selecting specific species for geochemical research to elucidating the biotic dynamics of microfossil communities relevant to physical oceanographic processes and interconnected phenomena such as climate change. However, species identification varies among taxonomic schools, few resources exist to train students in the difficult task of discerning amongst closely related species, and the number of taxonomic experts is limited. Here, we take the first steps towards removing these rate-limiting steps by generating the first extensive image library of modern planktonic foraminifera, providing taxonomic training tools and resources, and automating species-level taxonomic identification of planktonic foraminifera via machine learning using convolution neural networks. Taxonomic experts identified 34,640 images of modern planktonic foraminifera to the species level. These images are served as species exemplars through the online portal Endless Forams (endlessforams.org) and a taxonomic training portal hosted on the citizen science platform Zooniverse (zooniverse.org/projects/ahsiang/endless-forams/). A supervised machine learning classifier was then trained with more than 24,000 images of planktonic foraminifera and tested using the remaining ~10,000 images (i.e., the validation set). The best classifier provided the correct species name for an image in the validation set 87.4% of the time. Together, these resources provide a rigorous set of training tools in modern planktonic foraminiferal taxonomy and a means of rapidly generating assemblage data via machine learning in future studies.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019PA003612","usgsCitation":"Hsiang, A.Y., Brombacher, A., Costa Rillo, M., Mleneck-Vautravers, M.J., Connett, S., Lordsmith, S., Jentzen, A., Henehan, M.J., Metcalfe, B., Fenton, I., Wade, B., Fox, L., Meilland, J., Davis, C., Baranowski, U., Groeneveld, J., Edgar, K.M., Movellan, A., Aze, T., Dowsett, H.J., Miller, G., Rios, N., and Hull, P.M., 2019, Endless forams: >34,000 modern planktonic foraminiferal images for taxonomic training and automated species recognition using convolutional neural networks: Paleoceanography and Paleoclimatology, v. 34, p. 1157-1177, https://doi.org/10.1029/2019PA003612.","productDescription":"21 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