Freshwater wetlands are particularly vulnerable to climate change. Specifically, changes in temperature, precipitation, and evapotranspiration (i.e., climate drivers) are likely to alter flooding regimes of wetlands and affect the vital rates, abundance, and distributions of wetland-dependent species. Amphibians may be among the most climate-sensitive wetland-dependent groups, as many species rely on shallow or intermittently flooded wetland habitats for breeding. Here, we integrated multiple years of high-resolution gridded climate and amphibian monitoring data from Grand Teton and Yellowstone National Parks to explicitly model how variations in climate drivers and habitat conditions affect the occurrence and breeding dynamics (i.e., annual extinction and colonization rates) of amphibians. Our results showed that models incorporating climate drivers outperformed models of amphibian breeding dynamics that were exclusively habitat based. Moreover, climate-driven variation in extinction rates, but not colonization rates, disproportionately influenced amphibian occupancy in monitored wetlands. Long-term monitoring from national parks coupled with high-resolution climate data sets will be crucial to describing population dynamics and characterizing the sensitivity of amphibians and other wetland-dependent species to climate change. Further, long-term monitoring of wetlands in national parks will help reduce uncertainty surrounding wetland resources and strengthen opportunities to make informed, science-based decisions that have far-reaching benefits.
","language":"English","publisher":"Ecological Society of America","publisherLocation":"Washington, D.C.","doi":"10.1002/ecs2.1409","usgsCitation":"Ray, A.M., Gould, W., Hossack, B.R., Sepulveda, A.J., Thoma, D.P., Patla, D.A., Daley, R., and Al-Chokhachy, R.K., 2016, Influence of climate drivers on colonization and extinction dynamics of wetland-dependent species: Ecosphere, v. 7, no. 7, https://doi.org/10.1002/ecs2.1409.","numberOfPages":"21","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071378","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":470725,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1409","text":"Publisher Index Page"},{"id":325931,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Grand Teton National Park, Yellowstone National Park","volume":"7","issue":"7","edition":"Article e01409","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-26","publicationStatus":"PW","scienceBaseUri":"57a1c42fe4b006cb45552c1c","chorus":{"doi":"10.1002/ecs2.1409","url":"http://dx.doi.org/10.1002/ecs2.1409","publisher":"Wiley-Blackwell","authors":"Ray Andrew M., Gould William R., Hossack Blake R., Sepulveda Adam J., Thoma David P., Patla Debra A., Daley Rob, Al-Chokhachy Robert","journalName":"Ecosphere","publicationDate":"7/2016"},"contributors":{"authors":[{"text":"Ray, Andrew M.","contributorId":35667,"corporation":false,"usgs":true,"family":"Ray","given":"Andrew","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":640359,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gould, William R.","contributorId":63780,"corporation":false,"usgs":true,"family":"Gould","given":"William R.","affiliations":[],"preferred":false,"id":640360,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hossack, Blake R. 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":1177,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":640358,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sepulveda, Adam J. 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":150628,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":640361,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thoma, David P.","contributorId":45975,"corporation":false,"usgs":true,"family":"Thoma","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":640362,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Patla, Debra A.","contributorId":40059,"corporation":false,"usgs":true,"family":"Patla","given":"Debra","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":640363,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Daley, Rob","contributorId":14282,"corporation":false,"usgs":true,"family":"Daley","given":"Rob","affiliations":[],"preferred":false,"id":640364,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Al-Chokhachy, Robert K. 0000-0002-2136-5098 ral-chokhachy@usgs.gov","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":1674,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","email":"ral-chokhachy@usgs.gov","middleInitial":"K.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":640365,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70175138,"text":"70175138 - 2016 - Telemetry narrows the search for sea lamprey spawning locations in the St. Clair-Detroit River System","interactions":[],"lastModifiedDate":"2016-11-09T10:04:39","indexId":"70175138","displayToPublicDate":"2016-07-26T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Telemetry narrows the search for sea lamprey spawning locations in the St. Clair-Detroit River System","docAbstract":"Adult sea lamprey (Petromyzon marinus) abundance in Lake Erie has remained above targets set by fishery managers since 2005, possibly due to increased recruitment in the St. Clair-Detroit River System (SCDRS). Sea lamprey recruitment in the SCDRS poses an enormous challenge to sea lamprey control and assessment in Lake Erie because the SCDRS contains no dams to facilitate capture and discharge is at least an order of magnitude larger in the SCDRS than most other sea lamprey-producing tributaries in the Great Lakes. As a first step toward understanding population size, spatial distribution, and spawning habitat of adult sea lampreys in the SCDRS, we used acoustic telemetry to determine where sea lampreys ceased migration (due to spawning, death, or both) among major regions of the SCDRS. All tagged sea lampreys released in the lower Detroit River (N = 27) moved upstream through the Detroit River and entered Lake St. Clair. After entering Lake St. Clair, sea lampreys entered the St. Clair River (N = 22), Thames River (N = 1), or were not detected again (N = 4). Many sea lampreys (10 of 27) were last observed moving downstream (“fallback”) but we were unable to determine if those movements occurred before or after spawning, or while sea lampreys were dead or alive. Regardless of whether estimates of locations where sea lampreys ceased migration were based on the most upstream region occupied or final region occupied, most sea lampreys ceased migration in the St. Clair River or Lake St. Clair. Results suggest that spawning and rearing in the St. Clair River could be an important determinant of sea lamprey recruitment in the SCDRS and may direct future assessment and control activities in that system.
","language":"English","publisher":"International Association for Great Lakes Research","doi":"10.1016/j.jglr.2016.07.010","usgsCitation":"Holbrook, C., Jubar, A.K., Barber, J.M., Tallon, K., and Hondorp, D.W., 2016, Telemetry narrows the search for sea lamprey spawning locations in the St. Clair-Detroit River System: Journal of Great Lakes Research, v. 42, no. 5, p. 1084-1091, https://doi.org/10.1016/j.jglr.2016.07.010.","productDescription":"8 p.","startPage":"1084","endPage":"1091","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075408","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":470726,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2016.07.010","text":"Publisher Index Page"},{"id":325859,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, 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]\n}","volume":"42","issue":"5","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a072bfe4b060ce18fb2e58","contributors":{"authors":[{"text":"Holbrook, Christopher M. 0000-0001-8203-6856 cholbrook@usgs.gov","orcid":"https://orcid.org/0000-0001-8203-6856","contributorId":139681,"corporation":false,"usgs":true,"family":"Holbrook","given":"Christopher","email":"cholbrook@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":644069,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jubar, Aaron K.","contributorId":150999,"corporation":false,"usgs":false,"family":"Jubar","given":"Aaron","email":"","middleInitial":"K.","affiliations":[{"id":18161,"text":"US Fish and Wildlife Service, Lundington Biological Station","active":true,"usgs":false}],"preferred":false,"id":644070,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barber, Jessica M.","contributorId":173285,"corporation":false,"usgs":false,"family":"Barber","given":"Jessica","email":"","middleInitial":"M.","affiliations":[{"id":6584,"text":"United States Fish and Wildlife Service–Bozeman Fish Technology","active":true,"usgs":false}],"preferred":false,"id":644071,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tallon, Kevin","contributorId":173286,"corporation":false,"usgs":false,"family":"Tallon","given":"Kevin","email":"","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":644072,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hondorp, Darryl W. 0000-0002-5182-1963 dhondorp@usgs.gov","orcid":"https://orcid.org/0000-0002-5182-1963","contributorId":5376,"corporation":false,"usgs":true,"family":"Hondorp","given":"Darryl","email":"dhondorp@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":644073,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70173948,"text":"sir20165090 - 2016 - Comparison of benthos and plankton for selected areas of concern and non-areas of concern in western Lake Michigan Rivers and Harbors in 2012","interactions":[],"lastModifiedDate":"2016-07-28T08:56:28","indexId":"sir20165090","displayToPublicDate":"2016-07-25T15:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5090","title":"Comparison of benthos and plankton for selected areas of concern and non-areas of concern in western Lake Michigan Rivers and Harbors in 2012","docAbstract":"Recent data are lacking to assess whether impairments still exist at four of Wisconsin’s largest Lake Michigan harbors that were designated as Areas of Concern (AOCs) in the late 1980s due to sediment contamination and multiple Beneficial Use Impairments (BUIs), such as those affecting benthos (macroinvertebrates) and plankton (zooplankton and phytoplankton) communities. During three seasonal sampling events (“seasons”) in May through August 2012, the U.S. Geological Survey collected sediment benthos and water plankton at the four AOCs as well as six less-degraded non-AOCs along the western Lake Michigan shoreline to assess whether AOC communities were degraded in comparison to non-AOC communities. The four AOCs are the Lower Menominee River, the Lower Green Bay and Fox River, the Sheboygan River, and the Milwaukee Estuary. Due to their size and complexity, multiple locations or “subsites” were sampled within the Lower Green Bay and Fox River AOC (Lower Green Bay, the Fox River near Allouez, and the Fox River near De Pere) and within the Milwaukee Estuary AOC (the Milwaukee River, the Menomonee River, and the Milwaukee Harbor) and single locations were sampled at the other AOCs and non-AOCs. The six non-AOCs are the Escanaba River in Michigan, and the Oconto River, Ahnapee River, Kewaunee River, Manitowoc River, and Root River in Wisconsin. Benthos samples were collected by using Hester-Dendy artificial substrates deployed for 30 days and by using a dredge sampler; zooplankton were collected by net and phytoplankton by whole-water sampler. Except for the Lower Green Bay and Milwaukee Harbor locations, communities at each AOC were compared to all non-AOCs as a group and to paired non-AOCs using taxa relative abundances and metrics, including richness, diversity, and an Index of Biotic Integrity (IBI, for Hester-Dendy samples only). Benthos samples collected during one or more seasons were rated as degraded for at least one metric at all AOCs. In the Milwaukee Estuary, benthos richness was lower in the Milwaukee River subsite spring and summer samples and in the Menomonee River subsite spring sample relative to the paired non-AOCs. Benthos diversity and IBIs at the Menomonee River subsite and IBIs at the Milwaukee River subsite and Sheboygan River were significantly lower than at all non-AOCs as a group across all seasons and therefore were rated as degraded. In addition, IBIs at the Lower Menominee River were significantly lower than those at the paired non-AOCs during all seasons and were therefore rated degraded. Benthos at both Fox River subsites and the Milwaukee River subsite were significantly different from their paired non-AOCs during all three seasons, based on a comparison of the relative abundances of taxa using multivariate testing. Metrics for plankton at AOCs were not significantly lower than those at the paired or group non-AOCs during all seasons; however, zooplankton richness in spring at the Sheboygan River and in fall at the Menomonee River subsite was rated as degraded in comparison to paired non-AOCs. Also, zooplankton richness in fall at the Fox River near Allouez subsite and in spring at the Milwaukee River subsite was rated degraded overall because values were lower than at all non-AOCs as a group and lower than at the paired non-AOCs. Zooplankton diversity in fall at the Fox River near Allouez subsite and the Lower Menominee River was rated degraded in comparison to paired non-AOC comparison sites. Zooplankton communities at the Fox River near Allouez subsite were significantly different from the paired non-AOCs when multivariate comparisons were made without rotifers other than A. priodonta. Overall, benthos and zooplankton BUIs remained at the AOCs in 2012 but no AOCs with a phytoplankton BUI were rated degraded in comparison to non-AOCs. The use of a multiple ecological measures, structural and functional, and multiple statistical analyses, biological metrics and multivariate statistics, provided assessments that defined 2012 status of communities relative to less-impaired non-AOCs in the Great Lakes area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165090","collaboration":"Prepared in cooperation with the Wisconsin Department of Natural Resources and the U.S. Environmental Protection Agency—Great Lakes National Program Office","usgsCitation":"Scudder Eikenberry, B.C., Bell, A.H., Templar, H.A., and Burns, D.J., 2016, Comparison of benthos and plankton for selected Areas of Concern and non-Areas of Concern in Western Lake Michigan Rivers and Harbors in 2012: U.S. Geological Survey Scientific Investigations Report 2016–5090, 28 p., https://dx.doi.org/10.3133/sir20165090.","productDescription":"vi, 38 p.","startPage":"1","endPage":"28","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-071418","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":325585,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5090/sir20165090.pdf","text":"Report","size":"1.47 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5090"},{"id":325584,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5090/coverthb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Lake Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.4951171875,\n 41.713930073371294\n ],\n [\n -87.703857421875,\n 42.19596877629178\n ],\n [\n -87.73681640625,\n 42.391008609205045\n ],\n [\n -87.747802734375,\n 42.80346172417078\n ],\n [\n -87.81372070312499,\n 43.004647127794435\n ],\n [\n -87.791748046875,\n 43.46089378008257\n ],\n [\n -87.60498046875,\n 43.82660134505384\n ],\n [\n -87.615966796875,\n 44.03232064275084\n ],\n [\n -87.440185546875,\n 44.32384807250689\n ],\n [\n -87.396240234375,\n 44.61393394730626\n ],\n [\n -87.29736328125,\n 44.77793589631623\n ],\n [\n -87.528076171875,\n 44.879228141635274\n ],\n [\n -87.84530639648436,\n 44.621265367781014\n ],\n [\n -87.86453247070312,\n 44.621265367781014\n ],\n [\n -87.91706085205078,\n 44.57848569904532\n ],\n [\n -87.91053771972656,\n 44.56870306646167\n ],\n [\n -87.96066284179688,\n 44.535429806668404\n ],\n [\n -87.99671173095703,\n 44.54497334861026\n ],\n [\n -88.341064453125,\n 44.68427737181225\n ],\n [\n -88.450927734375,\n 44.89479576469787\n ],\n [\n -88.08837890625,\n 44.98811302615805\n ],\n [\n -87.890625,\n 45.10454630976873\n ],\n [\n -87.264404296875,\n 45.259422036351694\n ],\n [\n -87.57202148437499,\n 45.62940492064501\n ],\n [\n -87.066650390625,\n 45.706179285330855\n ],\n [\n -86.9677734375,\n 46.263442671779885\n ],\n [\n -87.4951171875,\n 46.430285240839964\n ],\n [\n -87.9345703125,\n 46.61171462536894\n ],\n [\n -88.3740234375,\n 46.64189395892874\n ],\n [\n -88.70361328125,\n 46.61171462536894\n ],\n [\n -88.604736328125,\n 46.31658418182218\n ],\n [\n -89.18701171875,\n 46.20264638061019\n ],\n [\n -89.154052734375,\n 45.96642454131025\n ],\n [\n -89.09912109375,\n 45.775186183521036\n ],\n [\n -89.02221679687499,\n 45.60635207711834\n ],\n [\n -89.12109375,\n 45.38301927899065\n ],\n [\n -89.176025390625,\n 45.1433047394883\n ],\n [\n -89.20898437499999,\n 44.88701247981298\n ],\n [\n -89.47265625,\n 44.42593442145313\n ],\n [\n -90.054931640625,\n 43.82660134505384\n ],\n [\n -89.527587890625,\n 43.48481212891603\n ],\n [\n -88.846435546875,\n 43.52465500687185\n ],\n [\n -88.494873046875,\n 43.39706523932025\n ],\n [\n -88.39599609375,\n 42.98857645832184\n ],\n [\n -87.4951171875,\n 41.713930073371294\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Wisconsin Water Science Center
U.S. Geological Survey
8505 Research Way
Middleton, WI 53562
http://wi.water.usgs.gov
Extracting the otoliths (ear bones) from fish that have very thick skulls can be difficult and very time consuming. The common practice of making a transverse vertical incision on the top of the skull with a hand or electrical saw may damage the otolith if not performed correctly. Sturgeons (Acipenseridae) are one family in particular that have a very large and thick skull. A new laboratory method entering the brain cavity from the ventral side of the fish to expose the otoliths was easier than other otolith extraction methods found in the literature. Methods reviewed in the literature are designed for the field and are more efficient at processing large quantities of fish quickly. However, this new technique was designed to be more suited for a laboratory setting when time is not pressing and successful extraction from each specimen is critical. The success of finding and removing otoliths using this technique is very high and does not compromise the structure in any manner. This alternative technique is applicable to other similar fish species for extracting the otoliths.
","language":"English","publisher":"JoVE","doi":"10.3791/54316","usgsCitation":"Chalupnicki, M.A., and Dittman, D.E., 2016, Alternative method of removing otoliths from sturgeon: Journal of Visualized Experiments, v. 112, e54316, https://doi.org/10.3791/54316.","productDescription":"e54316","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070492","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":470728,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4993311","text":"External Repository"},{"id":325605,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"112","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-27","publicationStatus":"PW","scienceBaseUri":"57972a20e4b021cadec86f13","contributors":{"authors":[{"text":"Chalupnicki, Marc A. mchalupnicki@usgs.gov","contributorId":3236,"corporation":false,"usgs":true,"family":"Chalupnicki","given":"Marc","email":"mchalupnicki@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":643405,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dittman, Dawn E. 0000-0002-0711-3732 ddittman@usgs.gov","orcid":"https://orcid.org/0000-0002-0711-3732","contributorId":2762,"corporation":false,"usgs":true,"family":"Dittman","given":"Dawn","email":"ddittman@usgs.gov","middleInitial":"E.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":643406,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70174962,"text":"70174962 - 2016 - A portable trap with electric lead catches up to 75% of an invasive fish species","interactions":[],"lastModifiedDate":"2016-07-25T13:46:46","indexId":"70174962","displayToPublicDate":"2016-07-25T14:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"A portable trap with electric lead catches up to 75% of an invasive fish species","docAbstract":"A novel system combining a trap and pulsed direct current electricity was able to catch up to 75% of tagged invasive sea lamprey Petromyzon marinus in free-flowing streams. Non-target mortality was rare and impacts to non-target migration were minimal; likely because pulsed direct current only needed to be activated at night (7 hours of each day). The system was completely portable and the annual cost of the trapping system was low ($4,800 U.S. dollars). Use of the technology is poised to substantially advance integrated control of sea lamprey, which threaten a fishery valued at 7 billion U.S. dollars annually, and help restore sea lamprey populations in Europe where they are native, but imperiled. The system may be broadly applicable to controlling invasive fishes and restoring valued fishes worldwide, thus having far reaching effects on ecosystems and societies.
","language":"English","publisher":"Macmillan Publishers Limited","doi":"10.1038/srep28430","usgsCitation":"Johnson, N., Miehls, S.M., O’Connor, L.M., Bravener, G., Barber, J., Thompson, H.T., Tix, J., and Bruning, T., 2016, A portable trap with electric lead catches up to 75% of an invasive fish species: Scientific Reports, v. 6, Article 28430; 8 p., https://doi.org/10.1038/srep28430.","productDescription":"Article 28430; 8 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075758","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":470729,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/srep28430","text":"Publisher Index Page"},{"id":325606,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-24","publicationStatus":"PW","scienceBaseUri":"57972a1fe4b021cadec86f0f","contributors":{"authors":[{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":643397,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miehls, Scott M. 0000-0002-5546-1854 smiehls@usgs.gov","orcid":"https://orcid.org/0000-0002-5546-1854","contributorId":5007,"corporation":false,"usgs":true,"family":"Miehls","given":"Scott","email":"smiehls@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":643398,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Connor, Lisa M.","contributorId":173132,"corporation":false,"usgs":false,"family":"O’Connor","given":"Lisa","email":"","middleInitial":"M.","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":643399,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bravener, Gale","contributorId":150995,"corporation":false,"usgs":false,"family":"Bravener","given":"Gale","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":643400,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barber, Jessica","contributorId":173133,"corporation":false,"usgs":false,"family":"Barber","given":"Jessica","affiliations":[{"id":6584,"text":"United States Fish and Wildlife Service–Bozeman Fish Technology","active":true,"usgs":false}],"preferred":false,"id":643401,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thompson, Henry T. 0000-0002-3730-9322 hthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-3730-9322","contributorId":5028,"corporation":false,"usgs":true,"family":"Thompson","given":"Henry","email":"hthompson@usgs.gov","middleInitial":"T.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":643402,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tix, John A.","contributorId":126766,"corporation":false,"usgs":false,"family":"Tix","given":"John A.","affiliations":[{"id":6602,"text":"Great Lakes Science Center, Hammond Bay Biological Station","active":true,"usgs":false}],"preferred":false,"id":643403,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bruning, Tyler 0000-0002-5970-9810 tbruning@usgs.gov","orcid":"https://orcid.org/0000-0002-5970-9810","contributorId":173134,"corporation":false,"usgs":true,"family":"Bruning","given":"Tyler","email":"tbruning@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":643404,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70174948,"text":"70174948 - 2016 - Agkistrodon piscivorus conanti (Florida cottonmouth) Diet","interactions":[],"lastModifiedDate":"2016-08-05T07:54:13","indexId":"70174948","displayToPublicDate":"2016-07-25T14:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"Agkistrodon piscivorus conanti (Florida cottonmouth) Diet","docAbstract":"Agkistrodon piscivorus is a generalist predator that feeds on a variety of prey, including snakes (Gloyd and Conant 1990. Snakes of the Agkistrodon Complex: A Monographic Review. Society for the Study of Amphibians and Reptiles, Oxford, Ohio. 614 pp.; Lillywhite et al. 2002. Herpetol. Rev. 33:259–260; Hill and Beaupre 2008. Copeia 2008:105–114). Cemophora coccinea (Scarletsnake) is not known as one of the 26 species of snakes consumed by A. piscivorus (Ernst and Ernst 2011. Venomous Reptiles of the United States, Canada, and Northern Mexico: Volume 1. Johns Hopkins University Press, Baltimore, Maryland. 193 pp.). On 16 June 2015, at 2210 h, we found a dead-on-road A. piscivorus (total length [TL] = 51.0 cm) in Everglades National Park on Main Park Road, 1.88 km S Pa-hay-okee, Miami-Dade Co., Florida, USA (25.414085°N, 80.78183146°W, WGS84; elev. 3 m). The snake had been killed by a vehicle and some internal organs were exposed. Visible stomach contents included a small (TL ca. 15 cm) C. coccinea. Photographic vouchers of the A. piscivorus (UF-Herpetology 177194) and C. coccinea (UF-Herpetology 177195) were deposited in the Division of Herpetology, Florida Museum of Natural History, University of Florida. Despite the fact that these species are sympatric over large areas of the southeastern United States, this is the first known documented predation of C. coccinea by A. piscivorus.
","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Grajal-Puche, A., Josimovich, J., Falk, B., and Reed, R., 2016, Agkistrodon piscivorus conanti (Florida cottonmouth) Diet: Herpetological Review, v. 47, no. 2, p. 307-307.","productDescription":"1 p.","startPage":"307","endPage":"307","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070707","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":325607,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57972a20e4b021cadec86f11","contributors":{"authors":[{"text":"Grajal-Puche, Alejandro agrajal-puche@usgs.gov","contributorId":173091,"corporation":false,"usgs":true,"family":"Grajal-Puche","given":"Alejandro","email":"agrajal-puche@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":643276,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Josimovich, Jillian jjosimovich@usgs.gov","contributorId":173092,"corporation":false,"usgs":true,"family":"Josimovich","given":"Jillian","email":"jjosimovich@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":643277,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Falk, Bryan 0000-0002-9690-5626 bfalk@usgs.gov","orcid":"https://orcid.org/0000-0002-9690-5626","contributorId":150075,"corporation":false,"usgs":true,"family":"Falk","given":"Bryan","email":"bfalk@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":643275,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reed, Robert 0000-0001-8349-6168 reedr@usgs.gov","orcid":"https://orcid.org/0000-0001-8349-6168","contributorId":152301,"corporation":false,"usgs":true,"family":"Reed","given":"Robert","email":"reedr@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":643278,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70174964,"text":"70174964 - 2016 - Global assessment of schistosomiasis control over the past century shows targeting the snail intermediate host works best","interactions":[],"lastModifiedDate":"2016-07-25T13:40:36","indexId":"70174964","displayToPublicDate":"2016-07-25T14:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5023,"text":"PLoS Neglected Tropical Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Global assessment of schistosomiasis control over the past century shows targeting the snail intermediate host works best","docAbstract":"Despite control efforts, human schistosomiasis remains prevalent throughout Africa, Asia, and South America. The global schistosomiasis burden has changed little since the new anthelmintic drug, praziquantel, promised widespread control.
\nWe evaluated large-scale schistosomiasis control attempts over the past century and across the globe by identifying factors that predict control program success: snail control (e.g., molluscicides or biological control), mass drug administrations (MDA) with praziquantel, or a combined strategy using both. For data, we compiled historical information on control tactics and their quantitative outcomes for all 83 countries and territories in which: (i) schistosomiasis was allegedly endemic during the 20th century, and (ii) schistosomiasis remains endemic, or (iii) schistosomiasis has been \"eliminated,\" or is \"no longer endemic,\" or transmission has been interrupted.
\nWidespread snail control reduced prevalence by 92 ± 5% (N = 19) vs. 37 ± 7% (N = 29) for programs using little or no snail control. In addition, ecological, economic, and political factors contributed to schistosomiasis elimination. For instance, snail control was most common and widespread in wealthier countries and when control began earlier in the 20th century.
\nSnail control has been the most effective way to reduce schistosomiasis prevalence. Despite evidence that snail control leads to long-term disease reduction and elimination, most current schistosomiasis control efforts emphasize MDA using praziquantel over snail control. Combining drug-based control programs with affordable snail control seems the best strategy for eliminating schistosomiasis.
","language":"English","publisher":"PLoS","doi":"10.1371/journal.pntd.0004794","usgsCitation":"Sokolow, S.H., Wood, C., Jones, I.J., Swartz, S.J., Lopez, M., Hsieh, M.H., Lafferty, K.D., Kuris, A.M., Rickards, C., and De Leo, G.A., 2016, Global assessment of schistosomiasis control over the past century shows targeting the snail intermediate host works best: PLoS Neglected Tropical Diseases, v. 10, no. 7, e0004794; 19 p., https://doi.org/10.1371/journal.pntd.0004794.","productDescription":"e0004794; 19 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073942","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":470730,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pntd.0004794","text":"Publisher Index Page"},{"id":325604,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"7","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-21","publicationStatus":"PW","scienceBaseUri":"57972a21e4b021cadec86f1d","contributors":{"authors":[{"text":"Sokolow, Susanne H.","contributorId":52503,"corporation":false,"usgs":false,"family":"Sokolow","given":"Susanne","email":"","middleInitial":"H.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":643408,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Chelsea L.","contributorId":36866,"corporation":false,"usgs":true,"family":"Wood","given":"Chelsea L.","affiliations":[],"preferred":false,"id":643409,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Isabel J.","contributorId":173135,"corporation":false,"usgs":false,"family":"Jones","given":"Isabel","email":"","middleInitial":"J.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":643410,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swartz, Scott J.","contributorId":173136,"corporation":false,"usgs":false,"family":"Swartz","given":"Scott","email":"","middleInitial":"J.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":643411,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lopez, Melina","contributorId":173137,"corporation":false,"usgs":false,"family":"Lopez","given":"Melina","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":643412,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hsieh, Michael H.","contributorId":146317,"corporation":false,"usgs":false,"family":"Hsieh","given":"Michael","email":"","middleInitial":"H.","affiliations":[{"id":16665,"text":"Stanford University; Biomedical Research Institute; Children's National Health System; The George Washington University","active":true,"usgs":false}],"preferred":false,"id":643413,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":643407,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kuris, Armand M.","contributorId":54332,"corporation":false,"usgs":true,"family":"Kuris","given":"Armand","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":643414,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rickards, Chloe","contributorId":173138,"corporation":false,"usgs":false,"family":"Rickards","given":"Chloe","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":643415,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"De Leo, Giulio A.","contributorId":146323,"corporation":false,"usgs":false,"family":"De Leo","given":"Giulio","email":"","middleInitial":"A.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":643416,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70174970,"text":"70174970 - 2016 - Glass-eel-stage American Eels respond to conspecific odor as a function of concentration","interactions":[],"lastModifiedDate":"2016-07-25T13:28:07","indexId":"70174970","displayToPublicDate":"2016-07-25T14:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Glass-eel-stage American Eels respond to conspecific odor as a function of concentration","docAbstract":"The American Eel Anguilla rostrata has experienced staggering population declines in recent decades and is now the focus of restoration efforts. Studies have demonstrated that olfaction is critical to anguillid behavior and that glass eels (the life stage which migrates inland from saltwater to freshwater) are attracted to conspecific washings. We evaluated conspecific cueing as a potential mechanism for American Eel inland migration coordination by assessing (1) the affinity of glass eels to conspecific washings, (2) the concentration–response relationships, and (3) changes in responsiveness to washings during the glass eel-to-elver transition. In two-choice maze assays, glass eels were attracted to glass eel washings over a wide range of concentrations (0.20–0.40 g of glass eels·L−1·h−1), and a logarithmic function provided the best fit to the concentration–response relationship. When given a choice between two conspecific washings of higher and lower concentrations, the glass eels generally preferred the higher concentration. Responses to undiluted glass eel washings did not significantly differ among stage-3–7 glass eels, although stage-7 eels were not attracted to the washings, whereas the other stages were. Washing affinity remained similar over the course of several weeks. These results support aspects of the conspecific cueing hypothesis at the glass eel life stage under laboratory conditions, suggesting that conspecific cueing is an important component of migration coordination among juvenile American Eels and warrants additional study.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/00028487.2016.1146164","usgsCitation":"Schmucker, A.K., Johnson, N., Galbraith, H.S., and Li, W., 2016, Glass-eel-stage American Eels respond to conspecific odor as a function of concentration: Transactions of the American Fisheries Society, v. 145, no. 4, p. 712-722, https://doi.org/10.1080/00028487.2016.1146164.","productDescription":"13 p.","startPage":"712","endPage":"722","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071934","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":470731,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":325600,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"145","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-15","publicationStatus":"PW","scienceBaseUri":"57972a21e4b021cadec86f1b","contributors":{"authors":[{"text":"Schmucker, Andrew K.","contributorId":173159,"corporation":false,"usgs":false,"family":"Schmucker","given":"Andrew","email":"","middleInitial":"K.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":643460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":643459,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Galbraith, Heather S. 0000-0003-3704-3517 hgalbraith@usgs.gov","orcid":"https://orcid.org/0000-0003-3704-3517","contributorId":4519,"corporation":false,"usgs":true,"family":"Galbraith","given":"Heather","email":"hgalbraith@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":643461,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Li, Weiming","contributorId":126748,"corporation":false,"usgs":false,"family":"Li","given":"Weiming","email":"","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":643462,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70174971,"text":"70174971 - 2016 - Comparative diets of subyearling Atlantic salmon and subyearling coho salmon in Lake Ontario tributaries","interactions":[],"lastModifiedDate":"2016-09-16T16:36:08","indexId":"70174971","displayToPublicDate":"2016-07-25T14:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Comparative diets of subyearling Atlantic salmon and subyearling coho salmon in Lake Ontario tributaries","docAbstract":"Restoration of Atlantic salmon (Salmo salar) in Lake Ontario could potentially be negatively affected by the presence of non-native salmonids that are naturalized in the basin. Coho salmon (Oncorhynchus kisutch) have been spawning successfully in Lake Ontario tributaries for over 40 years and their juveniles will reside in streams with juvenile Atlantic salmon for one year. This study sought to examine interspecific diet associations between these species, and to compare diets to the composition of the benthos and drift in three Lake Ontario tributaries. Aquatic insects, mainly ephemeropterans and chironomids were the major prey consumed by subyearling Atlantic salmon whereas terrestrial invertebrates made up only 3.7% of the diet. Ephemeropterans and chironomids were the primary aquatic taxa consumed by subyearling coho salmon but, as a group, terrestrial invertebrates (41.8%) were the major prey. In sympatry, Atlantic salmon fed more actively from the benthos whereas the diet of coho salmon was more similar to the drift. The different feeding pattern of each species resulted in low interspecific diet similarity. There is likely little competition between these species for food in Lake Ontario tributaries as juveniles.
","language":"English","publisher":"International Association for Great Lakes Research","doi":"10.1016/j.jglr.2016.05.007","usgsCitation":"Johnson, J.H., and Ringler, N.H., 2016, Comparative diets of subyearling Atlantic salmon and subyearling coho salmon in Lake Ontario tributaries: Journal of Great Lakes Research, v. 42, no. 4, p. 854-860, https://doi.org/10.1016/j.jglr.2016.05.007.","productDescription":"7 p.","startPage":"854","endPage":"860","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075260","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":325599,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Little Sandy Creek, Orwell Brook, Trout Brook","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.05422973632812,\n 43.536976070905546\n ],\n [\n -76.05422973632812,\n 43.58872191986938\n ],\n [\n -76.02916717529297,\n 43.58872191986938\n ],\n [\n -76.02916717529297,\n 43.536976070905546\n ],\n [\n -76.05422973632812,\n 43.536976070905546\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.17473602294922,\n 43.62712937016884\n ],\n [\n -76.17473602294922,\n 43.64750394449096\n ],\n [\n -76.0909652709961,\n 43.64750394449096\n ],\n [\n -76.0909652709961,\n 43.62712937016884\n ],\n [\n -76.17473602294922,\n 43.62712937016884\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.0202407836914,\n 43.52042294967885\n ],\n [\n -76.0202407836914,\n 43.566710488600584\n ],\n [\n -76.00118637084961,\n 43.566710488600584\n ],\n [\n -76.00118637084961,\n 43.52042294967885\n ],\n [\n -76.0202407836914,\n 43.52042294967885\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57972a20e4b021cadec86f15","contributors":{"authors":[{"text":"Johnson, James H. 0000-0002-5619-3871 jhjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5619-3871","contributorId":389,"corporation":false,"usgs":true,"family":"Johnson","given":"James","email":"jhjohnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":643463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ringler, Neil H.","contributorId":28936,"corporation":false,"usgs":true,"family":"Ringler","given":"Neil","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":643464,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70174973,"text":"70174973 - 2016 - Identifying key climate and environmental factors affecting rates of post-fire big sagebrush (Artemisia tridentata) recovery in the northern Columbia Basin, USA","interactions":[],"lastModifiedDate":"2017-11-22T17:30:19","indexId":"70174973","displayToPublicDate":"2016-07-25T14:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"Identifying key climate and environmental factors affecting rates of post-fire big sagebrush (Artemisia tridentata) recovery in the northern Columbia Basin, USA","docAbstract":"Sagebrush steppe of North America is considered highly imperilled, in part owing to increased fire frequency. Sagebrush ecosystems support numerous species, and it is important to understand those factors that affect rates of post-fire sagebrush recovery. We explored recovery of Wyoming big sagebrush (Artemisia tridentata ssp.wyomingensis) and basin big sagebrush (A. tridentata ssp. tridentata) communities following fire in the northern Columbia Basin (Washington, USA). We sampled plots across 16 fires that burned in big sagebrush communities from 5 to 28 years ago, and also sampled nearby unburned locations. Mixed-effects models demonstrated that density of large–mature big sagebrush plants and percentage cover of big sagebrush were higher with time since fire and in plots with more precipitation during the winter immediately following fire, but were lower when precipitation the next winter was higher than average, especially on soils with higher available water supply, and with greater post-fire mortality of mature big sagebrush plants. Bunchgrass cover 5 to 28 years after fire was predicted to be lower with higher cover of both shrubs and non-native herbaceous species, and only slightly higher with time. Post-fire recovery of big sagebrush in the northern Columbia Basin is a slow process that may require several decades on average, but faster recovery rates may occur under specific site and climate conditions.
","language":"English","publisher":"CSIRO","doi":"10.1071/WF16013","usgsCitation":"Shinneman, D.J., and McIlroy, S., 2016, Identifying key climate and environmental factors affecting rates of post-fire big sagebrush (Artemisia tridentata) recovery in the northern Columbia Basin, USA: International Journal of Wildland Fire, v. 25, no. 9, p. 933-945, https://doi.org/10.1071/WF16013.","productDescription":"13 p.","startPage":"933","endPage":"945","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071151","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":325597,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Columbia Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.99243164062501,\n 46.13417004624326\n ],\n [\n -120.99243164062501,\n 48.22467264956519\n ],\n [\n -117.103271484375,\n 48.22467264956519\n ],\n [\n -117.103271484375,\n 46.13417004624326\n ],\n [\n -120.99243164062501,\n 46.13417004624326\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"25","issue":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57972a21e4b021cadec86f1f","contributors":{"authors":[{"text":"Shinneman, Douglas J. 0000-0002-4909-5181 dshinneman@usgs.gov","orcid":"https://orcid.org/0000-0002-4909-5181","contributorId":147745,"corporation":false,"usgs":true,"family":"Shinneman","given":"Douglas","email":"dshinneman@usgs.gov","middleInitial":"J.","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":643467,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McIlroy, Susan K. 0000-0001-5088-3700 smcilroy@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-3700","contributorId":169446,"corporation":false,"usgs":true,"family":"McIlroy","given":"Susan","email":"smcilroy@usgs.gov","middleInitial":"K.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":643468,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70174823,"text":"fs20163049 - 2016 - Water resources of Tangipahoa Parish, Louisiana","interactions":[],"lastModifiedDate":"2016-09-27T09:31:30","indexId":"fs20163049","displayToPublicDate":"2016-07-25T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-3049","title":"Water resources of Tangipahoa Parish, Louisiana","docAbstract":"Information concerning the availability, use, and quality of water in Tangipahoa Parish, Louisiana, is critical for proper water-resource management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. Information on the availability, past and current use, use trends, and water quality from groundwater and surface-water sources in the parish is presented. Previously published reports and data stored in the U.S. Geological Survey’s National Water Information System (http://waterdata.usgs.gov/nwis) are the primary sources of the information presented here.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163049","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"White, V.E., and Prakken, L.B., 2016, Water resources of Tangipahoa Parish, Louisiana: U.S. Geological Survey Fact Sheet 2016–3049, 6 p., https://dx.doi.org/10.3133/fs20163049.","productDescription":"6 p.","startPage":"1","endPage":"6","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065604","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":325340,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3049/coverthb.jpg"},{"id":325595,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3049/fs20163049.pdf","text":"Fact Sheet","size":"2.77 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016–3049"}],"country":"United States","state":"Louisiana","county":"Tangipahoa Parish","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-90.3482,31.0012],[-90.3477,30.9949],[-90.3468,30.9058],[-90.3346,30.9048],[-90.3347,30.9016],[-90.3298,30.902],[-90.33,30.891],[-90.3167,30.8913],[-90.3168,30.8813],[-90.3159,30.8748],[-90.3159,30.8703],[-90.3139,30.8643],[-90.3097,30.8574],[-90.3013,30.8509],[-90.2992,30.8472],[-90.2971,30.8445],[-90.2956,30.8385],[-90.2936,30.8316],[-90.2926,30.828],[-90.2917,30.8134],[-90.2939,30.8079],[-90.2913,30.8033],[-90.2861,30.7987],[-90.2809,30.7936],[-90.2794,30.7812],[-90.2768,30.7775],[-90.2731,30.7757],[-90.2716,30.7738],[-90.2663,30.7674],[-90.2648,30.7655],[-90.2637,30.7623],[-90.2651,30.7413],[-90.2636,30.7372],[-90.2615,30.7339],[-90.2578,30.7321],[-90.2552,30.7284],[-90.2553,30.7224],[-90.2554,30.7174],[-90.256,30.7124],[-90.2567,30.7024],[-90.2515,30.6936],[-90.2495,30.6863],[-90.2485,30.6799],[-90.2491,30.6758],[-90.2508,30.6698],[-90.2525,30.6657],[-90.2525,30.6612],[-90.2521,30.657],[-90.25,30.652],[-90.2458,30.6469],[-90.2448,30.6428],[-90.2444,30.6391],[-90.2461,30.6323],[-90.2467,30.5925],[-90.2458,30.577],[-90.2444,30.5299],[-90.2442,30.5093],[-90.2443,30.5061],[-90.2443,30.5038],[-90.2433,30.2247],[-90.2776,30.2306],[-90.2972,30.294],[-90.312,30.2955],[-90.3199,30.2988],[-90.3337,30.2953],[-90.349,30.2973],[-90.3629,30.2905],[-90.373,30.2833],[-90.3841,30.2871],[-90.3915,30.2849],[-90.4016,30.2854],[-90.42,30.2902],[-90.4316,30.2958],[-90.4426,30.3046],[-90.475,30.3365],[-90.476,30.3401],[-90.4738,30.3438],[-90.4759,30.3507],[-90.48,30.3585],[-90.4896,30.3554],[-90.4884,30.3631],[-90.4921,30.3664],[-90.5027,30.3624],[-90.5043,30.3637],[-90.5026,30.3692],[-90.5009,30.3779],[-90.5019,30.3848],[-90.504,30.3871],[-90.5077,30.3885],[-90.5114,30.3913],[-90.5119,30.3954],[-90.5123,30.3986],[-90.5134,30.4018],[-90.5155,30.4041],[-90.5175,30.4069],[-90.5186,30.4105],[-90.5196,30.4124],[-90.5254,30.4174],[-90.5301,30.4179],[-90.5343,30.4212],[-90.539,30.4244],[-90.5427,30.4277],[-90.5459,30.4304],[-90.5468,30.4378],[-90.5468,30.4423],[-90.5457,30.4469],[-90.5478,30.4492],[-90.5499,30.4515],[-90.5503,30.4588],[-90.5502,30.4657],[-90.5528,30.4698],[-90.5549,30.4749],[-90.5554,30.4785],[-90.559,30.4845],[-90.567,30.4869],[-90.5671,30.5239],[-90.567,30.5317],[-90.5674,30.6313],[-90.5704,30.6501],[-90.5676,30.6652],[-90.5664,30.7241],[-90.5668,30.7301],[-90.568,30.768],[-90.5668,30.869],[-90.5668,30.8763],[-90.5673,30.8795],[-90.5672,30.8864],[-90.5669,31],[-90.5502,31],[-90.5048,31.0003],[-90.3482,31.0012]]]},\"properties\":{\"name\":\"Tangipahoa\",\"state\":\"LA\"}}]}","contact":"Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
3535 S. Sherwood Forest Blvd., Suite 120
Baton Rouge, LA 70816
","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2016-07-25","noUsgsAuthors":false,"publicationDate":"2016-07-25","publicationStatus":"PW","scienceBaseUri":"57972a21e4b021cadec86f21","contributors":{"authors":[{"text":"White, Vincent E. 0000-0002-1660-0102 vwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-1660-0102","contributorId":5388,"corporation":false,"usgs":true,"family":"White","given":"Vincent","email":"vwhite@usgs.gov","middleInitial":"E.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":642658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prakken, Lawrence B. lprakken@usgs.gov","contributorId":139067,"corporation":false,"usgs":true,"family":"Prakken","given":"Lawrence B.","email":"lprakken@usgs.gov","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":643479,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70175008,"text":"70175008 - 2016 - Effects of diffusion on total biomass in heterogeneous continuous and discrete-patch systems","interactions":[],"lastModifiedDate":"2016-12-09T16:27:28","indexId":"70175008","displayToPublicDate":"2016-07-24T14:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3592,"text":"Theoretical Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of diffusion on total biomass in heterogeneous continuous and discrete-patch systems","docAbstract":"
Theoretical models of populations on a system of two connected patches previously have shown that when the two patches differ in maximum growth rate and carrying capacity, and in the limit of high diffusion, conditions exist for which the total population size at equilibrium exceeds that of the ideal free distribution, which predicts that the total population would equal the total carrying capacity of the two patches. However, this result has only been shown for the Pearl-Verhulst growth function on two patches and for a single-parameter growth function in continuous space. Here, we provide a general criterion for total population size to exceed total carrying capacity for three commonly used population growth rates for both heterogeneous continuous and multi-patch heterogeneous landscapes with high population diffusion. We show that a sufficient condition for this situation is that there is a convex positive relationship between the maximum growth rate and the parameter that, by itself or together with the maximum growth rate, determines the carrying capacity, as both vary across a spatial region. This relationship occurs in some biological populations, though not in others, so the result has ecological implications.
","language":"English","publisher":"Springer","doi":"10.1007/s12080-016-0302-3","usgsCitation":"DeAngelis, D.L., Ming Ni, W., and Zhang, B., 2016, Effects of diffusion on total biomass in heterogeneous continuous and discrete-patch systems: Theoretical Ecology, v. 9, no. 4, p. 443-453, https://doi.org/10.1007/s12080-016-0302-3.","productDescription":"11 p.","startPage":"443","endPage":"453","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071022","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":325690,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"4","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-24","publicationStatus":"PW","scienceBaseUri":"5799db49e4b0589fa1c7e81f","chorus":{"doi":"10.1007/s12080-016-0302-3","url":"http://dx.doi.org/10.1007/s12080-016-0302-3","publisher":"Springer Nature","authors":"DeAngelis D. L., Ni Wei-Ming, Zhang Bo","journalName":"Theoretical Ecology","publicationDate":"5/24/2016","auditedOn":"2/15/2017","publiclyAccessibleDate":"5/24/2016"},"contributors":{"authors":[{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":148065,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald","email":"don_deangelis@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":643586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ming Ni, Wei","contributorId":173185,"corporation":false,"usgs":false,"family":"Ming Ni","given":"Wei","email":"","affiliations":[{"id":27179,"text":"University of Minnesota, MN, School of Mathematics","active":true,"usgs":false}],"preferred":false,"id":643587,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Bo","contributorId":146526,"corporation":false,"usgs":false,"family":"Zhang","given":"Bo","email":"","affiliations":[{"id":16714,"text":"Dept. of Biology, University of Miami","active":true,"usgs":false}],"preferred":false,"id":643588,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70174294,"text":"ofr20161112 - 2016 - Relative distribution and abundance of fishes and crayfish in 2010 and 2014 prior to saltcedar (Tamarix ssp.) removal in the Amargosa River Canyon, southeastern California","interactions":[],"lastModifiedDate":"2016-07-25T09:31:11","indexId":"ofr20161112","displayToPublicDate":"2016-07-22T19:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1112","title":"Relative distribution and abundance of fishes and crayfish in 2010 and 2014 prior to saltcedar (Tamarix ssp.) removal in the Amargosa River Canyon, southeastern California","docAbstract":"The Amargosa River Canyon, located in the Mojave Desert of southeastern California, contains the longest perennial reach of the Amargosa River. Because of its diverse flora and fauna, it has been designated as an Area of Critical Environmental Concern and a Wild and Scenic River by the Bureau of Land Management. A survey of fishes conducted in summer 2010 indicated that endemic Amargosa River pupfish (Cyprinodon nevadensis amargosae) and speckled dace (Rhinichthys osculus spp.) were abundant and occurred throughout the Amargosa River Canyon. The 2010 survey reported non-native red swamp crayfish (Procambarus clarkii) and western mosquitofish (Gambusia affinis) captures were significantly higher, whereas pupfish captures were lower, in areas dominated by non-native saltcedar (Tamarix ssp.). Based on the 2010 survey, it was hypothesized that the invasion of saltcedar could result in a decrease in native species. In an effort to maintain and enhance native fish populations, the Bureau of Land Management removed saltcedar from a 1,550 meter reach of stream on the Amargosa River in autumn 2014 and autumn 2015. Prior to the removal of saltcedar, a survey of fishes and crayfish using baited minnow traps was conducted in the treatment reach to serve as a baseline for future comparisons with post-saltcedar removal surveys. During the 2014 survey, 1,073 pupfish and 960 speckled dace were captured within the treatment reach. Catch per unit effort of pupfish and speckled dace in the treatment reach was less in 2014 than in 2010, although differences could be owing to seasonal variation in capture probability. Non-native mosquitofish catch per unit effort decreased from 2010 to 2014; however, the catch per unit effort of crayfish increased from 2010 to 2014. Future monitoring efforts of this reach should be conducted at the same time period to account for potential seasonal fluctuations of abundance and distribution of fishes and crayfish. A more robust study design that accounts for variation in capture probability could be implemented to quantify the effects of habitat modifications on abundance of fishes and crayfish.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161112","usgsCitation":"Hereford, M.E., 2016, Relative distribution and abundance of fishes and crayfish in 2010 and 2014 prior to saltcedar (Tamarix ssp.) removal in the Amargosa River Canyon, southeastern California: U.S. Geological Survey Open-File Report 2016–1112, 18 p., https://dx.doi.org/10.3133/ofr20161112.","productDescription":"iv, 18 p.","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-073284","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":325573,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1112/ofr20161112.pdf","text":"Report","size":"3.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1112 Report PDF"},{"id":325572,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1112/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Amargosa River Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.22719764709473,\n 35.826930045620486\n ],\n [\n -116.22719764709473,\n 35.8405686232225\n ],\n [\n -116.21895790100099,\n 35.8405686232225\n ],\n [\n -116.21895790100099,\n 35.826930045620486\n ],\n [\n -116.22719764709473,\n 35.826930045620486\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Western Fisheries Research Center
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Agro-ecological conditions associated with the spread and persistence of highly pathogenic avian influenza (HPAI) are not well understood, but the trade of live poultry is suspected to be a major pathway. Although market chains of live bird trade have been studied through indirect means including interviews and questionnaires, direct methods have not been used to identify movements of individual poultry. To bridge the knowledge gap on quantitative movement and transportation of poultry, we introduced a novel approach for applying telemetry to document domestic duck movements from source farms at Poyang Lake, China. We deployed recently developed transmitters that record Global Positioning System (GPS) locations and send them through the Groupe Spécial Mobile (GSM) cellular telephone system. For the first time, we were able to track individually marked ducks from 3 to 396 km from their origin to other farms, distribution facilities, or live bird markets. Our proof of concept test showed that the use of GPS-GSM transmitters may provide direct, quantitative information to document the movement of poultry and reveal their market chains. Our findings provide an initial indication of the complexity of source-market network connectivity and highlight the great potential for future telemetry studies in poultry network analyses.
","language":"English","publisher":"Chinese Academy of Agricultural Sciences","doi":"10.1016/S2095-3119(15)61292-8","usgsCitation":"Choi, C., Takekawa, J.Y., Xiong, Y., Wikelski, M., Heine, G., Prosser, D.J., Newman, S.H., Edwards, J., Guo, F., and Xiao, X., 2016, Tracking domestic ducks: A novel approach for documenting poultry market chains in the context of avian influenza transmission: Journal of Integrative Agriculture, v. 15, no. 7, p. 1584-1594, https://doi.org/10.1016/S2095-3119(15)61292-8.","productDescription":"11 p.","startPage":"1584","endPage":"1594","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071786","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470733,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/s2095-3119(15)61292-8","text":"Publisher Index Page"},{"id":325577,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","otherGeospatial":"Poyang Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 116.05957031249999,\n 27.176469131898898\n ],\n [\n 120.14648437499999,\n 27.176469131898898\n ],\n [\n 120.14648437499999,\n 30.372875188118016\n ],\n [\n 116.05957031249999,\n 30.372875188118016\n ],\n [\n 116.05957031249999,\n 27.176469131898898\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"15","issue":"7","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5793361ae4b0eb1ce79e8bc5","contributors":{"authors":[{"text":"Choi, Chang-Yong","contributorId":173116,"corporation":false,"usgs":true,"family":"Choi","given":"Chang-Yong","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":643359,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":643360,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xiong, Yue","contributorId":173117,"corporation":false,"usgs":false,"family":"Xiong","given":"Yue","email":"","affiliations":[],"preferred":false,"id":643361,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wikelski, Martin","contributorId":76451,"corporation":false,"usgs":true,"family":"Wikelski","given":"Martin","affiliations":[],"preferred":false,"id":643362,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heine, George","contributorId":173119,"corporation":false,"usgs":false,"family":"Heine","given":"George","email":"","affiliations":[{"id":17983,"text":"Department of Biology, Universitat Konstanz, Konstanz, Germany","active":true,"usgs":false}],"preferred":false,"id":643363,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Prosser, Diann J. 0000-0002-5251-1799 dprosser@usgs.gov","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":2389,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","email":"dprosser@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":643262,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Newman, Scott H.","contributorId":101372,"corporation":false,"usgs":true,"family":"Newman","given":"Scott","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":643364,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Edwards, John","contributorId":173120,"corporation":false,"usgs":false,"family":"Edwards","given":"John","affiliations":[{"id":6757,"text":"Murdoch University","active":true,"usgs":false}],"preferred":false,"id":643365,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Guo, Fusheng","contributorId":104209,"corporation":false,"usgs":true,"family":"Guo","given":"Fusheng","email":"","affiliations":[],"preferred":false,"id":643366,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Xiao, Xiangming","contributorId":67212,"corporation":false,"usgs":true,"family":"Xiao","given":"Xiangming","affiliations":[],"preferred":false,"id":643367,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70174945,"text":"70174945 - 2016 - Concentrations and spatial patterns of organic contaminants in tree swallow (Tachycineta bicolor) eggs at United States and binational Great Lakes Areas of Concern, 2010–2015","interactions":[],"lastModifiedDate":"2018-08-07T12:04:47","indexId":"70174945","displayToPublicDate":"2016-07-22T17:30:00","publicationYear":"2016","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":"Concentrations and spatial patterns of organic contaminants in tree swallow (Tachycineta bicolor) eggs at United States and binational Great Lakes Areas of Concern, 2010–2015","docAbstract":"Tree swallows, Tachycineta bicolor, were sampled across the Great Lakes basin in 2010 through 2015 to provide a system-wide assessment of current exposure to organic contaminants. The results provide information identified as critical by regulators to assess the “bird or animal deformity or reproductive problems” beneficial use impairment. Eggs were collected from 69 sites across all 5 Great Lakes, including 27 Areas of Concern (AOCs), some with multiple sites, and 10 sites not listed as an AOC. Concentrations of organic contaminants in eggs were quantified and compared with background and reproductive effect thresholds. Approximately 30% of AOCs had geometric mean concentrations of total polychlorinated biphenyls (PCBs) at or below average background exposure (0.34 μg/g wet wt). Exposure to polybrominated diphenyl ethers (PBDEs) was minimal, and only 3 of 27 AOCs and 1 non-AOC had geometric mean concentrations that exceeded background for tree swallows (96 ng/g wet wt). Concentrations of both PCBs and PBDEs were 10 to 20 times below the lower limit associated with impaired hatching success. In contrast, geometric mean concentrations of polychlorinated dibenzo-p-dioxin and furan (PCDD-F) toxic equivalents (TEQs) at the Saginaw River and Bay AOC and Midland, Michigan, USA (a non-AOC site), exceeded the lower limit for hatching effects (181 pg/g PCDD-F TEQs). The rest of the sites had geometric mean concentrations of PCDD-F TEQs below background levels (87 pg/g PCDD-F TEQs). Other organic contaminants, including p,p′-dichlorodiphenyldichloroethylene, mirex, heptachlor, and chlordane, were at or below background or adverse effect concentrations.
","language":"English","publisher":"Society for Environmental Toxicology and Chemistry (SETAC)","doi":"10.1002/etc.3496","usgsCitation":"Custer, C.M., Custer, T.W., Dummer, P.M., Goldberg, D.R., and Franson, J., 2016, Concentrations and spatial patterns of organic contaminants in tree swallow (Tachycineta bicolor) eggs at United States and binational Great Lakes Areas of Concern, 2010–2015: Environmental Toxicology and Chemistry, v. 35, no. 12, p. 3071-3092, https://doi.org/10.1002/etc.3496.","productDescription":"22 p.","startPage":"3071","endPage":"3092","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-072725","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology 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Christian jfranson@usgs.gov","contributorId":149318,"corporation":false,"usgs":true,"family":"Franson","given":"J. Christian","email":"jfranson@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":643267,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70170934,"text":"sir20165051 - 2016 - Evaluation of National Atmospheric Deposition Program measurements for colocated sites CO89 and CO98 at Rocky Mountain National Park, water years 2010–14","interactions":[],"lastModifiedDate":"2016-07-25T09:15:52","indexId":"sir20165051","displayToPublicDate":"2016-07-22T16:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5051","title":"Evaluation of National Atmospheric Deposition Program measurements for colocated sites CO89 and CO98 at Rocky Mountain National Park, water years 2010–14","docAbstract":"Atmospheric wet-deposition monitoring in Rocky Mountain National Park included precipitation depth and aqueous chemical measurements at colocated National Atmospheric Deposition Program/National Trends Network (NADP/NTN) sites CO89 and CO98 (Loch Vale) during water years 2010–14 (study period). The colocated sites were separated by approximately 6.5 meters horizontally and 0.5 meter in elevation, in accordance with NADP siting criteria. Assessment of the 5-year record of colocated data is intended to inform man-agement decisions pertaining to the achievement of nitrogen deposition reduction goals of the Rocky Mountain National Park Nitrogen Deposition Reduction Plan.
The data at site CO98 met NADP completeness criteria for the first time in 29 years of operation in 2011 and then again in 2012. During the study period, data at site CO89 met completeness criteria in 2012. Median weekly relative precipitation-depth differences between sites CO89 and CO98 ranged from 0 to 0.25 millimeter during the study period. Median weekly absolute percent differences in sample volume ranged from 5 to 10 percent. Median relative concentration differences for weekly ammonium (NH4+) and nitrate (NO3-) concentrations were near the NADP Central Analytical Laboratory’s method detection limits and thus were considered small. Absolute percent differences for water-year 2010–14 precipitation-weighted mean concentrations of NH4+, NO3-, and inorganic nitrogen (Ninorg) ranged from 0.0 to 25.7 percent. Absolute percent differences for water-year 2010–14 NH4+, NO3-, and Ninorg deposition ranged from 2.1 to 18.9 percent, 3.3 to 24.5 percent, and 0.3 to 17.4 percent, respectively.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165051","usgsCitation":"Wetherbee, G.A., 2016, Evaluation of National Atmospheric Deposition Program measurements for colocated sites CO89 and CO98 at Rocky Mountain National Park, water years 2010–14: U.S. Geological Survey Scientific Investigations Report 2016–5051, 32 p., https://dx.doi.org/10.3133/sir20165051.","productDescription":"vi, 32 p.","numberOfPages":"41","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-073496","costCenters":[{"id":143,"text":"Branch of Quality Systems","active":true,"usgs":true}],"links":[{"id":325482,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5051/sir20165051.pdf","text":"Report","size":"16.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5051"},{"id":325481,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5051/coverthb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Rocky Mountain National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.5,\n 39.5\n ],\n [\n -104.5,\n 41\n ],\n [\n -106,\n 41\n ],\n [\n -106,\n 39.5\n ],\n [\n -104.5,\n 39.5\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Chief, USGS Branch of Quality Systems
Box 25046, Mail Stop 401
Denver, CO 80225
Space geodetic measurements from the Envisat satellite between 2003 and 2010 show that subsidence rates near the southeastern shoreline of the Salton Sea in Southern California are up to 52mmyr−1 greater than the far-field background rate. By comparing these measurements with model predictions, we find that this subsidence appears to be dominated by poroelastic contraction associated with ongoing geothermal fluid production, rather than the purely fault-related subsidence proposed previously. Using a simple point source model, we suggest that the source of this proposed volumetric strain is at depths between 1.0 km and 2.4 km (95% confidence interval), comparable to generalized boundaries of the Salton Sea geothermal reservoir. We find that fault slip on two previously imaged tectonic structures, which are part of a larger system of faults in the Brawley Seismic Zone, is not an adequate predictor of surface velocity fields because the magnitudes of the best fitting slip rates are often greater than the full plate boundary rate and at least 2 times greater than characteristic sedimentation rates in this region. Large-scale residual velocity anomalies indicate that spatial patterns predicted by fault slip are incompatible with the observations.
","language":"English","publisher":"AGU Publications","doi":"10.1002/2016JB012903","usgsCitation":"Barbour, A., Evans, E., Hickman, S.H., and Eneva, M., 2016, Subsidence rates at the southern Salton Sea consistent with reservoir depletion: Journal of Geophysical Research B: Solid Earth, v. 121, no. 7, p. 5308-5327, https://doi.org/10.1002/2016JB012903.","productDescription":"20 p.","startPage":"5308","endPage":"5327","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068800","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":470734,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016jb012903","text":"Publisher Index Page"},{"id":325537,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Salton Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.94970703125,\n 33.53910539867444\n ],\n [\n -115.91262817382812,\n 33.52422366383016\n ],\n [\n -115.87005615234375,\n 33.48414472606364\n ],\n [\n -115.83297729492188,\n 33.44748488908883\n ],\n [\n -115.80963134765625,\n 33.4142485223105\n ],\n [\n -115.77941894531249,\n 33.39361265280212\n ],\n [\n -115.73822021484376,\n 33.37297188262367\n ],\n [\n -115.68740844726561,\n 33.37182502950726\n ],\n [\n -115.62973022460938,\n 33.35232621329064\n ],\n [\n -115.60638427734375,\n 33.31905344502012\n ],\n [\n -115.58029174804686,\n 33.2536182201511\n ],\n [\n -115.57754516601561,\n 33.22030778968541\n ],\n [\n -115.59402465820311,\n 33.173192085918075\n ],\n [\n -115.63796997070312,\n 33.146750228776455\n ],\n [\n -115.6640625,\n 33.109948297894285\n ],\n [\n -115.71212768554688,\n 33.07543248121335\n ],\n [\n -115.75881958007812,\n 33.08233672856376\n ],\n [\n -115.80413818359375,\n 33.12605104079945\n ],\n [\n -115.84259033203124,\n 33.1433007031258\n ],\n [\n -115.8563232421875,\n 33.18583537264943\n ],\n [\n -115.89340209960939,\n 33.23868752757414\n ],\n [\n -115.91949462890624,\n 33.277731642555224\n ],\n [\n -115.95932006835938,\n 33.305281685899445\n ],\n [\n -115.98129272460936,\n 33.33741240611175\n ],\n [\n -116.0211181640625,\n 33.36264966025664\n ],\n [\n -116.06643676757812,\n 33.417687357334934\n ],\n [\n -116.07742309570311,\n 33.45092240742606\n ],\n [\n -116.0980224609375,\n 33.48414472606364\n ],\n [\n -116.09390258789061,\n 33.51849923765608\n ],\n [\n -116.07879638671874,\n 33.5436838786559\n ],\n [\n -116.0540771484375,\n 33.5436838786559\n ],\n [\n -116.00875854492188,\n 33.5436838786559\n ],\n [\n -115.94970703125,\n 33.53910539867444\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"121","issue":"7","noUsgsAuthors":false,"publicationDate":"2016-07-13","publicationStatus":"PW","scienceBaseUri":"57933619e4b0eb1ce79e8bc1","contributors":{"authors":[{"text":"Barbour, Andrew J. 0000-0002-6890-2452 abarbour@usgs.gov","orcid":"https://orcid.org/0000-0002-6890-2452","contributorId":140443,"corporation":false,"usgs":true,"family":"Barbour","given":"Andrew J.","email":"abarbour@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":643194,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, Eileen 0000-0002-7290-5269 eevans@usgs.gov","orcid":"https://orcid.org/0000-0002-7290-5269","contributorId":167021,"corporation":false,"usgs":true,"family":"Evans","given":"Eileen","email":"eevans@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":643195,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hickman, Stephen H. 0000-0003-2075-9615 hickman@usgs.gov","orcid":"https://orcid.org/0000-0003-2075-9615","contributorId":2705,"corporation":false,"usgs":true,"family":"Hickman","given":"Stephen","email":"hickman@usgs.gov","middleInitial":"H.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":643196,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eneva, Mariana","contributorId":167022,"corporation":false,"usgs":false,"family":"Eneva","given":"Mariana","email":"","affiliations":[{"id":24596,"text":"Imageair Inc.","active":true,"usgs":false}],"preferred":false,"id":643197,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70174930,"text":"70174930 - 2016 - Cheatgrass percent cover change: Comparing recent estimates to climate change − Driven predictions in the Northern Great Basin","interactions":[],"lastModifiedDate":"2017-05-04T10:01:43","indexId":"70174930","displayToPublicDate":"2016-07-22T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Cheatgrass percent cover change: Comparing recent estimates to climate change − Driven predictions in the Northern Great Basin","docAbstract":"Cheatgrass (Bromus tectorum L.) is a highly invasive species in the Northern Great Basin that helps decrease fire return intervals. Fire fragments the shrub steppe and reduces its capacity to provide forage for livestock and wildlife and habitat critical to sagebrush obligates. Of particular interest is the greater sage grouse (Centrocercus urophasianus), an obligate whose populations have declined so severely due, in part, to increases in cheatgrass and fires that it was considered for inclusion as an endangered species. Remote sensing technologies and satellite archives help scientists monitor terrestrial vegetation globally, including cheatgrass in the Northern Great Basin. Along with geospatial analysis and advanced spatial modeling, these data and technologies can identify areas susceptible to increased cheatgrass cover and compare these with greater sage grouse priority areas for conservation (PAC). Future climate models forecast a warmer and wetter climate for the Northern Great Basin, which likely will force changing cheatgrass dynamics. Therefore, we examine potential climate-caused changes to cheatgrass. Our results indicate that future cheatgrass percent cover will remain stable over more than 80% of the study area when compared with recent estimates, and higher overall cheatgrass cover will occur with slightly more spatial variability. The land area projected to increase or decrease in cheatgrass cover equals 18% and 1%, respectively, making an increase in fire disturbances in greater sage grouse habitat likely. Relative susceptibility measures, created by integrating cheatgrass percent cover and temporal standard deviation datasets, show that potential increases in future cheatgrass cover match future projections. This discovery indicates that some greater sage grouse PACs for conservation could be at heightened risk of fire disturbance. Multiple factors will affect future cheatgrass cover including changes in precipitation timing and totals and increases in freeze-thaw cycles. Understanding these effects can help direct land management, guide scientific research, and influence policy.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2016.03.002","usgsCitation":"Boyte, S.P., Wylie, B.K., and Major, D.J., 2016, Cheatgrass percent cover change: Comparing recent estimates to climate change − Driven predictions in the Northern Great Basin: Rangeland Ecology and Management, v. 69, no. 4, p. 265-279, https://doi.org/10.1016/j.rama.2016.03.002.","productDescription":"15 p.","startPage":"265","endPage":"279","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073690","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":325536,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Nevada, Oregon, Utah, Washington, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.31103515625,\n 40.17887331434696\n ],\n [\n -121.31103515625,\n 46.42271253466719\n ],\n [\n -109.86328125,\n 46.42271253466719\n ],\n [\n -109.86328125,\n 40.17887331434696\n ],\n [\n -121.31103515625,\n 40.17887331434696\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"69","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57933613e4b0eb1ce79e8baf","contributors":{"authors":[{"text":"Boyte, Stephen P. 0000-0002-5462-3225 sboyte@usgs.gov","orcid":"https://orcid.org/0000-0002-5462-3225","contributorId":3463,"corporation":false,"usgs":true,"family":"Boyte","given":"Stephen","email":"sboyte@usgs.gov","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":643191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":643192,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Major, Donald J.","contributorId":83405,"corporation":false,"usgs":false,"family":"Major","given":"Donald","email":"","middleInitial":"J.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":643193,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70174929,"text":"70174929 - 2016 - Fluvial system response to late Pleistocene-Holocene sea-level change on Santa Rosa Island, Channel Islands National Park, California","interactions":[],"lastModifiedDate":"2017-05-04T10:02:01","indexId":"70174929","displayToPublicDate":"2016-07-22T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Fluvial system response to late Pleistocene-Holocene sea-level change on Santa Rosa Island, Channel Islands National Park, California","docAbstract":"Santa Rosa Island (SRI) is one of four east-west aligned islands forming the northern Channel Islands chain, and one of the five islands in Channel Islands National Park, California, USA. The island setting provides an unparalleled environment in which to record the response of fluvial systems to major changes of sea level. Many of the larger streams on the island occupy broad valleys that have been filled with alluvium and later incised to form steep- to vertical-walled arroyos, leaving a relict floodplain as much as 12–14 m above the present channel. The period of falling sea level between the end of the last interglacial highstand at ~ 80 ka and the last glacial lowstand at ~ 21 ka was marked by erosion and incision in the uplands and by deposition of alluvial sediment on the exposed marine shelf. Sea level rose relatively rapidly following the last glacial lowstand of − 106 m, triggering a shift from an erosional to a depositional sedimentary regime. Accumulation of sediment occurred first through vertical and lateral accretion in broad, shallow channels on the shelf. Channel avulsion and delta sedimentation produced widespread deposition, creating lobes or wedges of sediment distributed across relatively large areas of the shelf during the latest Pleistocene. Backfilling of valleys onshore (landward of present sea level) appears to have progressed in a more orderly and predictable fashion throughout the Holocene primarily because the streams were confined to their valleys. Vertical aggradation locally reduced stream gradients, causing frequent overbank flooding and lateral channel shift by meandering and/or avulsion. Local channel gradient and morphology, short-term climate variations, and intrinsic controls also affected the timing and magnitudes of these cut, fill, and flood events, and are reflected in the thickness and spacing of the episodic alluvial sequences. Floodplain aggradation within the valleys continued until at least 500 years ago, followed by intensive arroyo cutting that abandoned the relict floodplains, forming alluvial terraces. Sedimentary evidence points to overgrazing and drought, followed by catastrophic flooding, in the mid-nineteenth century as factors that may have accelerated and dramatically enhanced arroyo formation on the island.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2016.05.033","usgsCitation":"Schumann, R.R., Pigati, J., and McGeehin, J.P., 2016, Fluvial system response to late Pleistocene-Holocene sea-level change on Santa Rosa Island, Channel Islands National Park, California: Geomorphology, v. 268, p. 322-340, https://doi.org/10.1016/j.geomorph.2016.05.033.","productDescription":"19 p.","startPage":"322","endPage":"340","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070182","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":325535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Channel Islands National Park, Santa Rosa Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.26527404785156,\n 33.880677127838844\n ],\n [\n -120.26527404785156,\n 34.04412546508576\n ],\n [\n -119.95765686035155,\n 34.04412546508576\n ],\n [\n -119.95765686035155,\n 33.880677127838844\n ],\n [\n -120.26527404785156,\n 33.880677127838844\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"268","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57933617e4b0eb1ce79e8bb7","contributors":{"authors":[{"text":"Schumann, R. Randall 0000-0001-8158-6960 rschumann@usgs.gov","orcid":"https://orcid.org/0000-0001-8158-6960","contributorId":1569,"corporation":false,"usgs":true,"family":"Schumann","given":"R.","email":"rschumann@usgs.gov","middleInitial":"Randall","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":643188,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pigati, Jeffery S. jpigati@usgs.gov","contributorId":140289,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffery S.","email":"jpigati@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":643189,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGeehin, John P. mcgeehin@usgs.gov","contributorId":140956,"corporation":false,"usgs":true,"family":"McGeehin","given":"John","email":"mcgeehin@usgs.gov","middleInitial":"P.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":643190,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70174928,"text":"70174928 - 2016 - Variability of bed drag on cohesive beds under wave action","interactions":[],"lastModifiedDate":"2017-05-08T13:57:06","indexId":"70174928","displayToPublicDate":"2016-07-22T11:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Variability of bed drag on cohesive beds under wave action","docAbstract":"Drag force at the bed acting on water flow is a major control on water circulation and sediment transport. Bed drag has been thoroughly studied in sandy waters, but less so in muddy coastal waters. The variation of bed drag on a muddy shelf is investigated here using field observations of currents, waves, and sediment concentration collected during moderate wind and wave events. To estimate bottom shear stress and the bed drag coefficient, an indirect empirical method of logarithmic fitting to current velocity profiles (log-law), a bottom boundary layer model for combined wave-current flow, and a direct method that uses turbulent fluctuations of velocity are used. The overestimation by the log-law is significantly reduced by taking turbulence suppression due to sediment-induced stratification into account. The best agreement between the model and the direct estimates is obtained by using a hydraulic roughness of 10
Degradation of aquatic habitats has motivated construction and research on the use of artificial reefs to enhance production of fish populations. However, reefs are often poorly planned, reef design characteristics are not evaluated, and reef assessments are short-term. We constructed 29 reefs in Thunder Bay, Lake Huron, in 2010 and 2011 to mitigate for degradation of a putative lake trout spawning reef. Reefs were designed to evaluate lake trout preferences for height, orientation, and size, and were compared with two degraded natural reefs and a high-quality natural reef (East Reef). Eggs and fry were sampled on each reef for five years post-construction, and movements of 40 tagged lake trout were tracked during three spawning seasons using acoustic telemetry. Numbers of adults and spawning on the constructed reefs were initially low, but increased significantly over the five years, while remaining consistent on East Reef. Adult density, egg deposition, and fry catch were not related to reef height or orientation of the constructed reefs, but were related to reef size and adjacency to East Reef. Adult lake trout visited and spawned on all except the smallest constructed reefs. Of the metrics used to evaluate the reefs, acoustic telemetry produced the most valuable and consistent data, including fine-scale examination of lake trout movements relative to individual reefs. Telemetry data, supplemented with diver observations, identified several previously unknown natural spawning sites, including the high-use portions of East Reef. Reef construction has increased the capacity for fry production in Thunder Bay without apparently decreasing the use of the natural reef. Results of this project emphasize the importance of multi-year reef assessment, use of multiple assessment methods, and comparison of reef characteristics when developing artificial reef projects. Specific guidelines for construction of reefs focused on enhancing lake trout spawning are suggested.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2016.06.012","usgsCitation":"Marsden, J., Binder, T., Johnson, J., He, J., Dingledine, N., Adams, J., Johnson, N.S., Buchinger, T.J., and Krueger, C., 2016, Five-year evaluation of habitat remediation in Thunder Bay, Lake Huron: Comparison of constructed reef characteristics that attract spawning lake trout: Fisheries Research, v. 183, p. 275-286, https://doi.org/10.1016/j.fishres.2016.06.012.","productDescription":"12 p.","startPage":"275","endPage":"286","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075570","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":470736,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.fishres.2016.06.012","text":"Publisher Index Page"},{"id":325531,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Huron, Thunder Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.583984375,\n 44.74380712723563\n ],\n [\n -83.583984375,\n 45.12974228438219\n ],\n [\n -82.99209594726562,\n 45.12974228438219\n ],\n [\n -82.99209594726562,\n 44.74380712723563\n ],\n [\n -83.583984375,\n 44.74380712723563\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"183","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57933616e4b0eb1ce79e8bb5","contributors":{"authors":[{"text":"Marsden, J. Ellen","contributorId":10367,"corporation":false,"usgs":true,"family":"Marsden","given":"J. Ellen","affiliations":[],"preferred":false,"id":643170,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Binder, Thomas R.","contributorId":21093,"corporation":false,"usgs":true,"family":"Binder","given":"Thomas R.","affiliations":[],"preferred":false,"id":643171,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, James","contributorId":173063,"corporation":false,"usgs":false,"family":"Johnson","given":"James","email":"","affiliations":[],"preferred":false,"id":643172,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"He, Ji","contributorId":172649,"corporation":false,"usgs":false,"family":"He","given":"Ji","affiliations":[],"preferred":false,"id":643173,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dingledine, Natalie","contributorId":173064,"corporation":false,"usgs":false,"family":"Dingledine","given":"Natalie","email":"","affiliations":[],"preferred":false,"id":643174,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Adams, Janice","contributorId":173065,"corporation":false,"usgs":false,"family":"Adams","given":"Janice","email":"","affiliations":[],"preferred":false,"id":643175,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":643176,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Buchinger, Tyler J.","contributorId":40508,"corporation":false,"usgs":true,"family":"Buchinger","given":"Tyler","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":643177,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Krueger, Charles C.","contributorId":73131,"corporation":false,"usgs":true,"family":"Krueger","given":"Charles C.","affiliations":[],"preferred":false,"id":643178,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70174925,"text":"70174925 - 2016 - The logic of comparative life history studies for estimating key parameters, with a focus on natural mortality rate","interactions":[],"lastModifiedDate":"2017-05-04T10:03:52","indexId":"70174925","displayToPublicDate":"2016-07-22T11:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1936,"text":"ICES Journal of Marine Science","active":true,"publicationSubtype":{"id":10}},"title":"The logic of comparative life history studies for estimating key parameters, with a focus on natural mortality rate","docAbstract":"There are a number of key parameters in population dynamics that are difficult to estimate, such as natural mortality rate, intrinsic rate of population growth, and stock-recruitment relationships. Often, these parameters of a stock are, or can be, estimated indirectly on the basis of comparative life history studies. That is, the relationship between a difficult to estimate parameter and life history correlates is examined over a wide variety of species in order to develop predictive equations. The form of these equations may be derived from life history theory or simply be suggested by exploratory data analysis. Similarly, population characteristics such as potential yield can be estimated by making use of a relationship between the population parameter and bio-chemico–physical characteristics of the ecosystem. Surprisingly, little work has been done to evaluate how well these indirect estimators work and, in fact, there is little guidance on how to conduct comparative life history studies and how to evaluate them. We consider five issues arising in such studies: (i) the parameters of interest may be ill-defined idealizations of the real world, (ii) true values of the parameters are not known for any species, (iii) selecting data based on the quality of the estimates can introduce a host of problems, (iv) the estimates that are available for comparison constitute a non-random sample of species from an ill-defined population of species of interest, and (v) the hierarchical nature of the data (e.g. stocks within species within genera within families, etc., with multiple observations at each level) warrants consideration. We discuss how these issues can be handled and how they shape the kinds of questions that can be asked of a database of life history studies.
","language":"English","publisher":"Oxford Journals","doi":"10.1093/icesjms/fsw089","usgsCitation":"Hoenig, J., Then, A.Y., Babcock, E.A., Hall, N.G., Hewitt, D.A., and Hesp, S.A., 2016, The logic of comparative life history studies for estimating key parameters, with a focus on natural mortality rate: ICES Journal of Marine Science, v. 73, no. 10, p. 2453-2467, https://doi.org/10.1093/icesjms/fsw089.","productDescription":"15 p.","startPage":"2453","endPage":"2467","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069001","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":470738,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/icesjms/fsw089","text":"Publisher Index Page"},{"id":325530,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"73","issue":"10","noUsgsAuthors":false,"publicationDate":"2016-06-21","publicationStatus":"PW","scienceBaseUri":"57933619e4b0eb1ce79e8bc3","contributors":{"authors":[{"text":"Hoenig, John M","contributorId":58211,"corporation":false,"usgs":true,"family":"Hoenig","given":"John M","affiliations":[],"preferred":false,"id":643164,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Then, Amy Y.-H.","contributorId":173060,"corporation":false,"usgs":false,"family":"Then","given":"Amy","email":"","middleInitial":"Y.-H.","affiliations":[],"preferred":false,"id":643165,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Babcock, Elizabeth A.","contributorId":173061,"corporation":false,"usgs":false,"family":"Babcock","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":643166,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hall, Norman G.","contributorId":76245,"corporation":false,"usgs":true,"family":"Hall","given":"Norman","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":643167,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hewitt, David A. 0000-0002-5387-0275 dhewitt@usgs.gov","orcid":"https://orcid.org/0000-0002-5387-0275","contributorId":3767,"corporation":false,"usgs":false,"family":"Hewitt","given":"David","email":"dhewitt@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":643168,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hesp, Sybrand A.","contributorId":173062,"corporation":false,"usgs":false,"family":"Hesp","given":"Sybrand","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":643169,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70174203,"text":"ofr20161090 - 2016 - Hurricane Sandy washover deposits on southern Long Beach Island, New Jersey","interactions":[],"lastModifiedDate":"2016-08-08T09:05:49","indexId":"ofr20161090","displayToPublicDate":"2016-07-22T11:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1090","title":"Hurricane Sandy washover deposits on southern Long Beach Island, New Jersey","docAbstract":"Sedimentologic and topographic data from Hurricane Sandy washover deposits were collected from southern Long Beach Island, New Jersey, in order to document changes to the barrier-island beaches, dunes, and coastal wetlands caused by Hurricane Sandy and subsequent storm events. These data will provide a baseline dataset for use in future coastal change descriptive and predictive studies and assessments. The data presented here were collected as part of the U.S. Geological Survey’s Barrier Island and Estuarine Wetland Physical Change Assessment Project (http://coastal.er.usgs.gov/sandy-wetland-assessment/), which aims to assess ecological and societal vulnerability that results from long- and short-term physical changes to barrier islands and coastal wetlands. This report describes data that were collected in April 2015, approximately 2½ years after Hurricane Sandy’s landfall on October 29, 2012. During the field campaign, washover deposits were photographed and described, and sediment cores, sediment samples, and surface-elevation data were collected. Data collected during this study, including sample locations and elevations, core photographs, computed tomography scans, descriptive core logs, sediment grain-size data, and accompanying Federal Geographic Data Committee metadata, are available in the associated U.S. Geological Survey data release (Bishop and others, 2016; http://dx.doi.org/10.5066/F7PK0D7S).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161090","collaboration":"Barrier Island and Estuarine Wetland Physical Change Assessment Project","usgsCitation":"Bishop, J.M., Richmond, B.R., Zaremba, N.J., Lunghino, B.D., and Kane, H.K., 2016, Hurricane Sandy washover deposits on southern Long Beach Island, New Jersey: U.S. Geological Survey Open-File Report 2016–1090, 14 p., https://dx.doi.org/10.3133/ofr20161090.","productDescription":"Report: vi, 21 p.; Data Release","numberOfPages":"21","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-073323","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":324814,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1090/ofr20161090.pdf","text":"Report","size":"5.68 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1090"},{"id":324813,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1090/coverthb.jpg"},{"id":324815,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7PK0D7S","text":"USGS data release - Hurricane Sandy washover deposit data from southern Long Beach Island, New Jersey: Grain-size, elevations, and graphic core logs"}],"country":"United States","state":"New Jersey","otherGeospatial":"Long Beach Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.30912017822266,\n 39.504305605954634\n ],\n [\n -74.3060302734375,\n 39.49874248613119\n ],\n [\n -74.29779052734375,\n 39.49635815560969\n ],\n [\n -74.27684783935547,\n 39.504305605954634\n ],\n [\n -74.26380157470702,\n 39.52072745681898\n ],\n [\n -74.2620849609375,\n 39.526288816558626\n ],\n [\n -74.26654815673828,\n 39.53502719632629\n ],\n [\n -74.2730712890625,\n 39.53449762886045\n ],\n [\n -74.28062438964844,\n 39.526818446639844\n ],\n [\n -74.29847717285156,\n 39.51675478434244\n ],\n [\n -74.30912017822266,\n 39.504305605954634\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, St. Petersburg Coastal and Marine Science Center
U.S. Geological Survey
600 4th Street South
St. Petersburg, FL 33701
(727) 502–8000
http://coastal.er.usgs.gov
Trace-metal concentrations in sediment and in the clam Macoma petalum (formerly reported as Macoma balthica), clam reproductive activity, and benthic macroinvertebrate community structure were investigated in a mudflat 1 kilometer south of the discharge of the Palo Alto Regional Water Quality Control Plant (PARWQCP) in South San Francisco Bay, California. This report includes data collected by U.S. Geological Survey (USGS) scientists for the period from January 2015 to December 2015. These data are appended to long-term datasets extending back to 1974, and serve as the basis for the City of Palo Alto’s Near-Field Receiving Water Monitoring Program, initiated in 1994.
\nFollowing significant reductions in the late 1980s, silver (Ag) and copper (Cu) concentrations in sediment and M. petalum appear to have stabilized. Data for other metals, including chromium (Cr), mercury (Hg), nickel (Ni), selenium (Se), and zinc (Zn), have been collected since 1994. Over this period, concentrations of these elements have remained relatively constant, aside from seasonal variation that is common to all elements. In 2015, concentrations of Ag and Cu in M. petalum varied seasonally in response to a combination of site-specific metal exposures and annual growth and reproduction, as reported previously. Seasonal patterns for other elements, including Cr, Ni, Zn, Hg, and Se, were generally similar in timing and magnitude as those for Ag and Cu. In M. petalum, all observed elements showed annual maxima in January–February and minima in April, except for Zn, which was lowest in December. In sediments, annual maxima also occurred in January–February, and minima were measured in June and September. In 2015, metal concentrations in both sediments and clam tissue were among the lowest on record. This record suggests that regional-scale factors now largely control sedimentary and bioavailable concentrations of Ag and Cu, as well as other elements of regulatory interest, at the Palo Alto site.
\nAnalyses of the benthic community structure at the same mudflat over a 40-year period show that changes in the community have occurred concurrent with reduced concentrations of metals in the sediment and in the tissues of the biosentinel clam, M. petalum, from the same area. Analysis of M. petalum shows increases in reproductive activity concurrent with the decline in metal concentrations in the tissues of this organism. Reproductive activity is presently stable (2015), with almost all animals initiating reproduction in the fall and spawning the following spring. The entire infaunal community has shifted from being dominated by several opportunistic species to a community where the species are more similar in abundance, a pattern that indicates a more stable community that is subjected to fewer stressors. In addition, two of the opportunistic species (Ampelisca abdita and Streblospio benedicti) that brood their young and live on the surface of the sediment in tubes have shown a continual decline in dominance coincident with the decline in metals; both species had short-lived rebounds in abundance in 2008, 2009, and 2010 and showed signs of increasing abundance in 2015. Heteromastus filiformis (a subsurface polychaete worm that lives in the sediment, consumes sediment and organic particles residing in the sediment, and reproduces by laying its eggs on or in the sediment) showed an increase in dominance, concurrent with the decrease in Ag and Cu concentrations, and in the last several years before 2008, showed a stable population. H. filiformis abundance increased slightly in 2011–2012 and returned to pre-2011 abundance in 2015. An unidentified disturbance occurred on the mudflat in early 2008 that resulted in the loss of the benthic animals, except for deep-dwelling animals like M. petalum. However, within two months of this event animals returned to the mudflat. The resilience of the community suggested that the disturbance was not due to a persistent toxin or to anoxia. The reproductive mode of most species present in 2015 is reflective of species that were available either as pelagic larvae or as mobile adults. Although oviparous (live-birth) species were lower in number in this group, the authors hypothesize that these species will return slowly as more species move back into the area. The use of functional ecology was highlighted in the 2015 benthic community data, which showed that the animals that have now returned to the mudflat are those that can respond successfully to a physical, nontoxic disturbance. Today, community data show a mix of species that consume the sediment, or filter feed, have pelagic larvae that must survive landing on the sediment, and those that brood their young. USGS scientists view the 2008 disturbance event as a response by the infaunal community to an episodic natural stressor (possibly sediment accretion or a pulse of freshwater), in contrast to the long-term recovery from metal contamination. We will compare this recovery to the long-term recovery observed after the 1970s when the decline in sediment pollutants was the dominating factor.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161118","collaboration":"Prepared in cooperation with the City of Palo Alto, California","usgsCitation":"Cain, D.J., Thompson, J.K., Crauder, Jeff, Parchaso, Francis, Stewart, Robin, Turner, Mathew, Hornberger, M.I., and Luoma, S.N., 2016, Near-field receiving water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in south San Francisco Bay, California; 2015: U.S. Geological Survey Open-File Report 2016–1118, 78 p., https://dx.doi.org/10.3133/ofr20161118.","productDescription":"vii, 78 p.","numberOfPages":"87","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-076608","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":416191,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20231017","text":"Open-File Report 2023-1017","linkHelpText":"- Near-Field Receiving-Water Monitoring of Trace Metals and a Benthic Community Near the Palo Alto Regional Water Quality Control Plant in South San Francisco Bay, California—2020"},{"id":416190,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20211079","text":"Open-File Report 2021-1079","linkHelpText":"- Near-Field Receiving-Water Monitoring of Trace Metals and a Benthic Community Near the Palo Alto Regional Water Quality Control Plant in South San Francisco Bay, California—2019"},{"id":416189,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20191084","text":"Open-File Report 2019-1084","linkHelpText":"- Near-Field Receiving-Water Monitoring of Trace Metals and a Benthic Community Near the Palo Alto Regional Water Quality Control Plant in South San Francisco Bay, California—2018"},{"id":416188,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20181107","text":"Open-File Report 2018-1107","linkHelpText":"- Near-field receiving-water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in south San Francisco Bay, California—2017"},{"id":416187,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20171135","text":"Open-File Report 2017-1135","linkHelpText":"- Near-field receiving water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in south San Francisco Bay, California; 2016"},{"id":325514,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1118/coverthb.jpg"},{"id":325515,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1118/ofr20161118.pdf","text":"Report","size":"4.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1118"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.14530944824217,\n 37.40452830389465\n ],\n [\n -122.14530944824217,\n 37.52443079581378\n ],\n [\n -121.91871643066406,\n 37.52443079581378\n ],\n [\n -121.91871643066406,\n 37.40452830389465\n ],\n [\n -122.14530944824217,\n 37.40452830389465\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"NRP staff
National Research Program
U.S. Geological Survey
345 Middlefield Road, MS-435
Menlo Park, CA 94025
http://water.usgs.gov/nrp/
A forty year time series of Secchi depth observations from approximately 25 lakes in Acadia National Park, Maine, USA, evidences large variations in transparency between lakes but relatively little seasonal cycle within lakes. However, there are coherent patterns over the time series, suggesting large scale processes are responsible. It has been suggested that variations in colored dissolved organic matter (CDOM) are primarily responsible for the variations in transparency, both between lakes and over time and further that CDOM is a robust optical proxy for dissolved organic carbon (DOC). Here we present a forward model of Secchi depth as a function of DOC based upon first principles and bio-optical relationships. Inverting the model to estimate DOC concentration from Secchi depth observations compared well with the measured DOC concentrations collected since 1995 (RMS error < 1.3 mg C l-1). This inverse model allows the time series of DOC to be extended back to the mid 1970s when only Secchi depth observations were collected, and thus provides a means for investigating lake response to climate forcing, changing atmospheric chemistry and watershed characteristics, including land cover and land use.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Aquatic nutrient biogeochemistry and microbial ecology: A dual perspective","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-30259-1_18","usgsCitation":"Roesler, C.S., and Culbertson, C.W., 2016, Lake transparency: a window into decadal variations in dissolved organic carbon concentrations in Lakes of Acadia National Park, Maine, chap. of Aquatic nutrient biogeochemistry and microbial ecology: A dual perspective, p. 225-236, https://doi.org/10.1007/978-3-319-30259-1_18.","productDescription":"12 p.","startPage":"225","endPage":"236","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070183","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":328115,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-22","publicationStatus":"PW","scienceBaseUri":"57c7ffb7e4b0f2f0cebfc2a4","contributors":{"authors":[{"text":"Roesler, Collin S.","contributorId":152025,"corporation":false,"usgs":false,"family":"Roesler","given":"Collin","email":"","middleInitial":"S.","affiliations":[{"id":18855,"text":"Department of Earth and Oceanographic Science, Bowdoin College, Brunswick, ME","active":true,"usgs":false}],"preferred":false,"id":587575,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Culbertson, Charles W. cculbert@usgs.gov","contributorId":1607,"corporation":false,"usgs":true,"family":"Culbertson","given":"Charles","email":"cculbert@usgs.gov","middleInitial":"W.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":587574,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}