Soil contamination by lead (Pb) from past small munitions training on Beale Air Force Base, California, and Tyndall Air Force Base, Florida, may result in adverse effects for passerine birds that utilize the locations. A study was conducted during 2016-17 by the U.S. Geological Survey, in cooperation with the U.S. Fish and Wildlife Service and U.S. Air Force, at both Air Force Bases (AFBs) to assess the risk of bird exposure to Pb. Two different methods were used to estimate exposure. The first was analysis of blood and feather samples collected from birds captured on both AFBs, and the second was food chain modeling using data on Pb concentrations in dietary items (invertebrates and seeds) collected from both AFBs. Lead concentrations in blood and feathers for birds captured at Beale AFB indicate low exposure and risk; potential toxicity is possible based on blood and feather data for birds from Tyndall AFB. Food chain modeling utilizing dietary contamination indicates a risk likelihood of up to 35 percent at Beale AFB and up to 34 percent at Tyndall AFB. Lead exposure from incidental soil ingestion increased risk likelihood at both AFBs and is a significant uncertainty in this risk assessment. A companion data release for data collected during this project can be found at https://doi.org/10.5066/P92YXMQ2.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185164","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service, U.S. Air Force","usgsCitation":"Bargar, T.A., 2019, Assessment of bird exposure to lead at Tyndall and Beale Air Force Bases, 2016–17: U.S. Geological Survey Scientific Investigations Report 2018–5164, 30 p., https://doi.org/10.3133/sir20185164.","productDescription":"Report: viii, 30 p.; Data release","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-101102","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":437582,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92YXMQ2","text":"USGS data release","linkHelpText":"Assessment of bird exposure to lead at Tyndall and Beale Air Force Bases"},{"id":361009,"rank":3,"type":{"id":30,"text":"Data Release"},"url":" https://doi.org/10.5066/P92YXMQ2","text":"USGS data release","description":"USGS data release","linkHelpText":"Assessment of bird exposure to lead at Tyndall and Beale Air Force Bases"},{"id":360558,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5164/coverthb2.jpg"},{"id":360559,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5164/sir20185164.pdf","text":"Report","size":"14.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5164"}],"country":"United States","state":"California, Florida","otherGeospatial":"Beale Air Force Base, St. Joe Bay Buffer Preserve, Tyndall Air Force Base","contact":"Director, Wetland and Aquatic Research Center
U.S. Geological Survey
7920 NW 71st Street
Gainesville, FL 32653
In the late 1800s, John Wesley Powell, second Director of the U.S. Geological Survey (USGS), proposed gaging the flow of rivers and streams in the Western United States to evaluate the potential for irrigation. Around the same time, several cities in the Eastern United States established primitive streamgages to help design water-supply systems. Streamgaging technology has greatly advanced since the 1800s, and USGS hydrographers have made at least one streamflow measurement at more than 37,000 sites throughout the years. Today, the USGS Groundwater and Streamflow Information Program supports the collection and (or) delivery of both streamflow and water-level information for more than 8,500 sites (continuous or partial record) and water-level information alone for more than 1,700 additional sites. The data are served online—most in near realtime—to meet many diverse needs; more than 640 million requests for streamflow information were fulfilled during the 2017 water year (October 1, 2016‒September 30, 2017).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183081","collaboration":" ","usgsCitation":"Eberts, S.M., Woodside, M.D., Landers, M.N., and Wagner, C.R., 2018, Monitoring the pulse of our Nation's rivers and streams—The U.S. Geological Survey streamgaging network: U.S. Geological Survey Fact Sheet 2018–3081, 2 p., https://doi.org/10.3133/fs20183081.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-101883","costCenters":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"links":[{"id":360982,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3081/fs20183081.pdf","text":"Report","size":"5.40 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018-3081"},{"id":360981,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3081/coverthb2.jpg"}],"contact":"Groundwater and Stream Flow Information Program
U.S. Geological Survey Water Mission Area
12201 Sunrise Valley Drive
Reston, VA 20192
U.S. Geological Survey science supports groundwater resource management in the Mississippi Alluvial Plain region. The USGS Science and Decisions Center is working with the Water Availability and Use Science Program to integrate economics into a sophisticated model of groundwater in the region. The model will quantify the status of the groundwater system and help researchers, stakeholders, and decision-makers understand and manage groundwater resources. Including economics in the model will let users consider the influence of groundwater levels on regional economics and the effects of economic factors on the demand for groundwater.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193003","usgsCitation":"Alhassan, M., Lawrence, C., Richardson, S., and Pindilli, E., 2019, The Mississippi Alluvial Plain aquifers—An engine for economic activity: U.S. Geological Survey Fact Sheet 2019–3003, 4 p., https://doi.org/10.3133/fs20193003.","productDescription":"4 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-101445","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":361020,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3003/coverthb.jpg"},{"id":361021,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3003/fs20193003.pdf","text":"Report","size":"12.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019-3003"},{"id":361022,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RW8Y2A","text":"USGS data release","description":"USGS data release","linkHelpText":"The Mississippi Alluvial Plain Aquifers: An Engine for Economic Activity - Data"}],"country":"United States","otherGeospatial":"Mississippi Alluvial Plain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93,\n 29\n ],\n [\n -88.5,\n 29\n ],\n [\n -88.5,\n 38\n ],\n [\n -93,\n 38\n ],\n [\n -93,\n 29\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Science and Decisions Center
U.S. Geological Survey
913 National Center
Reston, VA 20192
Email: gs_emeh_sdc@usgs.gov
The arrival of space-based imaging radar as a revolutionary land-surface mapping and monitoring tool little more than a quarter century ago enabled a spate of innovative volcano research worldwide. Soon after launch of European Space Agency’s ERS-1 spacecraft in 1991, the U.S. Geological Survey began SAR and InSAR studies of volcanoes in the Aleutian and Cascades arcs, in Hawai’i, and elsewhere in the western U.S. including the Yellowstone and Long Valley calderas. This paper summarizes results of that effort and presents new findings concerning: (1) prevalence of volcano deformation in the Aleutian and Cascade arcs; (2) surface-change detection and hazard assessment during eruptions at Aleutian and Hawaiian volcanoes; (3) geodetic imaging of magma storage and transport systems in Hawai’i; and (4) deformation sources and processes at the Yellowstone and Long Valley calderas. Surface deformation caused by a variety of processes is common in arc settings and could easily escape detection without systematic InSAR surveillance. Space-based SAR imaging of active lava flows and domes in remote or heavily vegetated settings, including during periods of bad weather and darkness, extends land-based monitoring capabilities and improves hazards assessments. At Kīlauea Volcano, comprehensive SAR and InSAR observations identify multiple magma storage zones beneath the summit area and along the East Rift Zone, and illuminate magma transport pathways. The same approach at Yellowstone tracks the ascent of magmatic volatiles from a mid-crustal intrusion to shallow depth and relates that process to increased hydrothermal activity at the surface. Together with recent and planned launches of highly capable imaging-radar satellites, these findings support an optimistic outlook for near-real time surveillance of volcanoes at global scale in the coming decade.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/feart.2018.00249","usgsCitation":"Dzurisin, D., Lu, Z., Poland, M.P., and Wicks, C.W., 2019, Space-based imaging radar studies of U.S. volcanoes: Frontiers in Earth Science, v. 6, p. 1-15, https://doi.org/10.3389/feart.2018.00249.","productDescription":"Article 249; 15 p.","startPage":"1","endPage":"15","ipdsId":"IP-099931","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467929,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2018.00249","text":"Publisher Index Page"},{"id":361027,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Dzurisin, Daniel 0000-0002-0138-5067 dzurisin@usgs.gov","orcid":"https://orcid.org/0000-0002-0138-5067","contributorId":538,"corporation":false,"usgs":true,"family":"Dzurisin","given":"Daniel","email":"dzurisin@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":756676,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lu, Zhong","contributorId":202550,"corporation":false,"usgs":false,"family":"Lu","given":"Zhong","affiliations":[{"id":20300,"text":"Southern Methodist University","active":true,"usgs":false}],"preferred":false,"id":756679,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":146118,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":756678,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wicks, Charles W. Jr. 0000-0002-0809-1328 cwicks@usgs.gov","orcid":"https://orcid.org/0000-0002-0809-1328","contributorId":127701,"corporation":false,"usgs":true,"family":"Wicks","given":"Charles","suffix":"Jr.","email":"cwicks@usgs.gov","middleInitial":"W.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":756677,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202007,"text":"70202007 - 2019 - Diatom assemblage changes in agricultural alluvial plain streams and application for nutrient management","interactions":[],"lastModifiedDate":"2019-02-05T12:48:27","indexId":"70202007","displayToPublicDate":"2019-02-05T12:48:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Diatom assemblage changes in agricultural alluvial plain streams and application for nutrient management","docAbstract":"In large, alluvial floodplains dominated by agriculture, small streams have the potential to experience nutrient enrichment affecting algal assemblage structure and metabolism. Nutrient enrichment is largely driven by application of nutrients and altered hydrologic regimes. To inform stressor–response-based nutrient reduction goals for agricultural alluvial plain streams, diatom assemblages were sampled from 25 streams located within the Mississippi Alluvial Plain (MAP) with various land management practices and associated P and N inputs. From August through September 2015, epidendric diatom assemblage samples were collected from instream woody debris. Field nutrient gradients were skewed toward higher concentrations, and ranges of previously reported diatom assemblage response thresholds indicative of oligotrophic conditions were not well represented. Ordination analysis identified a gradient in species composition associated with increasing P and decreasing dissolved oxygen. A significant shift in diatom assemblage structure occurred when total P concentrations in the MAP streams exceeded 0.12 mg L−1. Phosphorus-enriched systems were represented by a distinct set of indicator species, lower abundances of ubiquitous species, greater abundances of highly tolerant species, and greater abundances of high-P indicator species. No relationships were observed among diatom assemblage measures or traits with increasing N. Current results do not address potential criteria for identifying high-quality, oligotrophic streams. However, measures of diatom assemblage structure have potential for helping set benchmarks to reduce nutrient impacts and monitor effects of agricultural best management practices on MAP streams.
","language":"English","publisher":"ACSESS","doi":"10.2134/jeq2018.05.0196","usgsCitation":"Hicks, M.B., and Taylor, J.M., 2019, Diatom assemblage changes in agricultural alluvial plain streams and application for nutrient management: Journal of Environmental Quality, v. 48, no. 1, p. 83-92, https://doi.org/10.2134/jeq2018.05.0196.","productDescription":"10 p.","startPage":"83","endPage":"92","ipdsId":"IP-091585","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":467930,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2134/jeq2018.05.0196","text":"Publisher Index Page"},{"id":361026,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Yazoo River basin","volume":"48","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hicks, Matthew B. 0000-0001-5516-0296 mhicks@usgs.gov","orcid":"https://orcid.org/0000-0001-5516-0296","contributorId":3778,"corporation":false,"usgs":true,"family":"Hicks","given":"Matthew","email":"mhicks@usgs.gov","middleInitial":"B.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":756637,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Jason M.","contributorId":212809,"corporation":false,"usgs":false,"family":"Taylor","given":"Jason","email":"","middleInitial":"M.","affiliations":[{"id":38685,"text":"USDA, ARS Sedimentation Lab","active":true,"usgs":false}],"preferred":false,"id":756638,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70215427,"text":"70215427 - 2019 - Elk forage and risk tradeoffs during the fall archery season","interactions":[],"lastModifiedDate":"2020-10-20T15:25:52.117752","indexId":"70215427","displayToPublicDate":"2019-02-05T10:03:47","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Elk forage and risk tradeoffs during the fall archery season","docAbstract":"During late summer and fall, elk (Cervus canadensis) need access to adequate nutrition to support physiological requirements for reproduction and overwinter survival. The archery hunting season often occurs during this period and can affect distributions of elk as they seek areas that minimize perceived harvest risk. Areas that confer lower harvest risk may provide relatively low‐value nutrition, resulting in a potential tradeoff between minimizing risk and accessing adequate forage. We used radio‐collar data collected from female elk during late summer and fall (Aug–Oct) and estimated resource selection models to evaluate the extent of this potential risk‐nutrition tradeoff. To evaluate if elk exposed to a greater hunting risk altered selection for forage resources, we assessed the relationship between individuals’ selection coefficients for forage and the proportion of their late‐summer‐fall home range accessible to hunters (our metric of hunting risk). Our results indicate that during the archery season, elk with higher‐risk home ranges selected more strongly for areas farther from motorized routes than elk with lower‐risk home ranges. Regardless of the level of risk, however, elk maintained or increased selection for areas with higher forage quality, suggesting that elk did not compromise access to nutritional resources during the archery season. Elk with higher‐risk home ranges were also exposed to the poorest nutrition and increased their selection for areas with higher forage quality more strongly than elk with lower‐risk home ranges during the hunting season. Elk with lower‐risk home ranges had access to the highest nutrition, which may be due to the availability of concentrated sources of high‐quality forage from irrigated agricultural areas on private lands that restricted hunter access. Resource agencies interested in encouraging elk to remain on public lands during the hunting seasons might consider closing motorized travel during the archery season to increase security on public lands, limiting hunter pressure on public lands, improving forage quality on public lands, and working with private land owners to enhance hunter accessibility and restrict elk access to high‐quality forage resources.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21638","usgsCitation":"DeVoe, J., Proffitt, K., Mitchell, M.S., Jourdonnais, C., and Barker, K.J., 2019, Elk forage and risk tradeoffs during the fall archery season: Journal of Wildlife Management, v. 83, no. 4, p. 801-816, https://doi.org/10.1002/jwmg.21638.","productDescription":"16 p.","startPage":"801","endPage":"816","ipdsId":"IP-092979","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":379547,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Bitterroot River valley, Sapphire Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.488525390625,\n 46.01985337287631\n ],\n [\n -113.54644775390625,\n 46.01985337287631\n ],\n [\n -113.54644775390625,\n 46.92963428624288\n ],\n [\n -114.488525390625,\n 46.92963428624288\n ],\n [\n -114.488525390625,\n 46.01985337287631\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"83","issue":"4","noUsgsAuthors":false,"publicationDate":"2019-02-05","publicationStatus":"PW","contributors":{"authors":[{"text":"DeVoe, Jesse","contributorId":243380,"corporation":false,"usgs":false,"family":"DeVoe","given":"Jesse","email":"","affiliations":[{"id":48645,"text":"umt","active":true,"usgs":false}],"preferred":false,"id":802168,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Proffitt, Kelly 0000-0001-5528-3309","orcid":"https://orcid.org/0000-0001-5528-3309","contributorId":210093,"corporation":false,"usgs":false,"family":"Proffitt","given":"Kelly","email":"","affiliations":[{"id":38065,"text":"Montana Fish, Wildlife and Parks, Bozeman, Montana","active":true,"usgs":false}],"preferred":false,"id":802169,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":802170,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jourdonnais, Craig","contributorId":243381,"corporation":false,"usgs":false,"family":"Jourdonnais","given":"Craig","email":"","affiliations":[{"id":48708,"text":"private entitty","active":true,"usgs":false}],"preferred":false,"id":802171,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barker, Kristin J.","contributorId":204755,"corporation":false,"usgs":false,"family":"Barker","given":"Kristin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":802172,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70202003,"text":"70202003 - 2019 - Long-term suppression of the Lake Trout (Salvelinus namaycush) population in Lake Pend Oreille, Idaho","interactions":[],"lastModifiedDate":"2019-08-19T14:16:28","indexId":"70202003","displayToPublicDate":"2019-02-05T10:01:43","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Long-term suppression of the Lake Trout (Salvelinus namaycush) population in Lake Pend Oreille, Idaho","title":"Long-term suppression of the Lake Trout (Salvelinus namaycush) population in Lake Pend Oreille, Idaho","docAbstract":"A simulation model of lake trout Salvelinus namaycush (Walbaum 1792) population dynamics in Lake Pend Oreille, Idaho, was used to estimate (1) the optimal allocation of effort among gillnet mesh sizes that minimizes abundance in the shortest time; (2) the number of years needed to suppress the population to 90% of peak abundance; and (3) once suppressed, how much effort could be reduced to sustain abundance indefinitely. A density-dependent stochastic simulation model was parameterized from data in 2006–2016, including parameter uncertainty and implementation error. Time to suppression could be reduced by using more large-mesh gillnet than was used during 2007–2016. Continued fishing at the peak level of total gillnetting effort, but using an optimal effort allocation among meshes, would suppress abundance to the target level within 7–13 years. Once suppressed, gillnet effort could be reduced 76–86% (157,000 m, 95% CI 116,000–199,000 m) to sustain abundance at the target level. Our findings suggest that time to suppression of lake trout populations in other systems may be able to be reduced by optimizing gillnet effort allocation among mesh sizes, and that total effort can be greatly reduced to sustain abundance at the reduced level thereafter.
","language":"English","publisher":"Springer","doi":"10.1007/s10750-019-3890-2","usgsCitation":"Hansen, M.J., Corsi, M.P., and Dux, A.M., 2019, Long-term suppression of the Lake Trout (Salvelinus namaycush) population in Lake Pend Oreille, Idaho: Hydrobiologia, v. 840, no. 1, p. 335-349, https://doi.org/10.1007/s10750-019-3890-2.","productDescription":"15 p.","startPage":"335","endPage":"349","ipdsId":"IP-103474","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":361007,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Lake Pend Oreille","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.6095733642578,\n 48.24525380784484\n ],\n [\n -116.61300659179688,\n 48.22787470681804\n ],\n [\n -116.54434204101561,\n 48.22787470681804\n ],\n [\n -116.50588989257812,\n 48.23885166797079\n ],\n [\n -116.50382995605469,\n 48.26125565204099\n ],\n [\n -116.44203186035156,\n 48.231076563740906\n ],\n [\n -116.42349243164064,\n 48.233363481750466\n ],\n [\n -116.44271850585938,\n 48.25165514645406\n ],\n [\n -116.38435363769531,\n 48.24845457730629\n ],\n [\n -116.37680053710939,\n 48.232906106325146\n ],\n [\n -116.37611389160155,\n 48.211404849620486\n ],\n [\n -116.39190673828124,\n 48.19721822655714\n ],\n [\n -116.39739990234375,\n 48.18394331219401\n ],\n [\n -116.42005920410155,\n 48.184858933932304\n ],\n [\n -116.43310546875,\n 48.193098793553624\n ],\n [\n -116.4543914794922,\n 48.189436797281516\n ],\n [\n -116.44958496093749,\n 48.16562744253031\n ],\n [\n -116.54640197753905,\n 48.08450117877953\n ],\n [\n -116.54502868652342,\n 48.02896823395349\n ],\n [\n -116.51069641113281,\n 47.99359789867388\n ],\n [\n -116.51756286621095,\n 47.98532601005293\n ],\n [\n -116.56082153320311,\n 47.98808345357488\n ],\n [\n -116.57386779785155,\n 47.97889140226657\n ],\n [\n -116.54777526855467,\n 47.96601978044179\n ],\n [\n -116.58897399902344,\n 47.9559041124676\n ],\n [\n -116.57318115234375,\n 47.93520680379448\n ],\n [\n -116.53816223144531,\n 47.94900593043644\n ],\n [\n -116.51206970214842,\n 47.942566796394445\n ],\n [\n -116.48460388183592,\n 47.9444066308325\n ],\n [\n -116.42692565917969,\n 47.985785594203556\n ],\n [\n -116.44615173339844,\n 48.05146399853115\n ],\n [\n -116.41456604003906,\n 48.08771199575739\n ],\n [\n -116.42211914062499,\n 48.10147036970551\n ],\n [\n -116.41456604003906,\n 48.106514184431525\n ],\n [\n -116.37062072753906,\n 48.12164265909682\n ],\n [\n -116.29440307617186,\n 48.11751715319754\n ],\n [\n -116.20170593261717,\n 48.1367666796927\n ],\n [\n -116.20170593261717,\n 48.16562744253031\n ],\n [\n -116.22642517089844,\n 48.182569848918526\n ],\n [\n -116.25320434570312,\n 48.21872544031352\n ],\n [\n -116.26625061035155,\n 48.21735290928554\n ],\n [\n -116.2635040283203,\n 48.196302825623\n ],\n [\n -116.27655029296875,\n 48.196302825623\n ],\n [\n -116.28341674804689,\n 48.20728655738642\n ],\n [\n -116.27861022949217,\n 48.21872544031352\n ],\n [\n -116.29234313964844,\n 48.22421519646119\n ],\n [\n -116.27105712890625,\n 48.21872544031352\n ],\n [\n -116.26419067382811,\n 48.229246955743626\n ],\n [\n -116.3294219970703,\n 48.26674084583965\n ],\n [\n -116.36993408203125,\n 48.320647233957544\n ],\n [\n -116.38435363769531,\n 48.322930146152395\n ],\n [\n -116.39396667480469,\n 48.32110382457018\n ],\n [\n -116.3898468017578,\n 48.310144521881575\n ],\n [\n -116.40563964843749,\n 48.306490897851745\n ],\n [\n -116.40083312988281,\n 48.29507163681939\n ],\n [\n -116.39259338378908,\n 48.29507163681939\n ],\n [\n -116.39053344726561,\n 48.28593438872724\n ],\n [\n -116.40426635742186,\n 48.28456366049887\n ],\n [\n -116.41525268554688,\n 48.302837012248645\n ],\n [\n -116.45576477050783,\n 48.31927743759854\n ],\n [\n -116.47499084472656,\n 48.31334122833889\n ],\n [\n -116.47705078125,\n 48.30009642638653\n ],\n [\n -116.50108337402342,\n 48.31242790407178\n ],\n [\n -116.5264892578125,\n 48.310144521881575\n ],\n [\n -116.55326843261719,\n 48.2964420830209\n ],\n [\n -116.55876159667967,\n 48.280908205375084\n ],\n [\n -116.55326843261719,\n 48.2731394946377\n ],\n [\n -116.58485412597656,\n 48.262627005675796\n ],\n [\n -116.6095733642578,\n 48.24525380784484\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"840","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Hansen, Michael J. 0000-0001-8522-3876 michaelhansen@usgs.gov","orcid":"https://orcid.org/0000-0001-8522-3876","contributorId":5006,"corporation":false,"usgs":true,"family":"Hansen","given":"Michael","email":"michaelhansen@usgs.gov","middleInitial":"J.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":756611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corsi, Matthew P.","contributorId":212797,"corporation":false,"usgs":false,"family":"Corsi","given":"Matthew","email":"","middleInitial":"P.","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":756612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dux, Andrew M.","contributorId":212798,"corporation":false,"usgs":false,"family":"Dux","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":756613,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70214105,"text":"70214105 - 2019 - Enhancement of primary production during drought in a temperate watershed is greater in larger rivers than headwater streams","interactions":[],"lastModifiedDate":"2020-09-23T14:50:20.238443","indexId":"70214105","displayToPublicDate":"2019-02-05T09:38:44","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7120,"text":"Limnology & Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Enhancement of primary production during drought in a temperate watershed is greater in larger rivers than headwater streams","docAbstract":"Drought is common in rivers, yet how this disturbance regulates metabolic activity across network scales is largely unknown. Drought often lowers gross primary production (GPP) and ecosystem respiration (ER) in small headwaters but by contrast can enhance GPP and cause algal blooms in downstream estuaries. We estimated ecosystem metabolism across a nested network of 13 reaches from headwaters to the main stem of the Connecticut River from 2015 through 2017, which encompassed a pronounced drought. During drought, GPP and ER increased, but with greater enhancement in larger rivers. Responses of GPP and ER were partially due to warmer temperatures associated with drought, particularly in the larger rivers where temperatures during summer drought were > 10°C higher than typical summer baseflow. The larger rivers also had low canopy cover, which allowed primary producers to take advantage of lower turbidity and fewer cloudy days during drought. We conclude that GPP is enhanced by higher temperature, lower turbidity, and longer water residence times that are all a function of low discharge, but ecosystem response in temperate watersheds to these drivers depends on light availability regulated by riparian canopy cover. In larger rivers, GPP increased more than ER during drought, even leading to temporary autotrophy, an otherwise rare event in the typically light‐limited heterotrophic Connecticut River main stem. With climate change, rivers and streams may become warmer and drought frequency and severity may increase. Such changes may increase autotrophy in rivers with broad implications for carbon cycling and water quality in aquatic ecosystems.
","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lno.11127","usgsCitation":"Hosen, J.D., Aho, K.S., Appling, A.P., Creech, E., Fair, J., Hall, R.O., Kyzivat, E., Lowenthal, R., Matt, S., Morrison, J., Saiers, J.E., Shanley, J.B., Weber, L., Yoon, B., and Raymond, P.A., 2019, Enhancement of primary production during drought in a temperate watershed is greater in larger rivers than headwater streams: Limnology & Oceanography, v. 64, no. 4, p. 1458-1472, https://doi.org/10.1002/lno.11127.","productDescription":"15 p.","startPage":"1458","endPage":"1472","ipdsId":"IP-100512","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"links":[{"id":467931,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.11127","text":"Publisher Index Page"},{"id":378692,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Massachusetts, New Hampshire, Vermont","otherGeospatial":"Connecticut River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.2076416015625,\n 41.306697618181865\n ],\n [\n -72.3779296875,\n 41.693424216151314\n ],\n [\n -72.0208740234375,\n 42.13896840458089\n ],\n [\n -71.982421875,\n 43.34116005412307\n ],\n [\n -71.6033935546875,\n 44.25700308645885\n ],\n [\n -71.2298583984375,\n 44.645208223744035\n ],\n [\n -71.3397216796875,\n 45.023067895446175\n ],\n [\n -71.7681884765625,\n 45.00365115687186\n ],\n [\n -72.17468261718749,\n 44.54742015866826\n ],\n [\n -72.5811767578125,\n 44.15462243076731\n ],\n [\n -72.7679443359375,\n 43.313188139196406\n ],\n [\n -72.9107666015625,\n 42.80346172417078\n ],\n [\n -73.289794921875,\n 41.947234477977766\n ],\n [\n -72.9656982421875,\n 41.31907562295139\n ],\n [\n -72.3779296875,\n 41.25716209782705\n ],\n [\n -72.2076416015625,\n 41.306697618181865\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"64","issue":"4","noUsgsAuthors":false,"publicationDate":"2019-02-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Hosen, Jacob D.","contributorId":149188,"corporation":false,"usgs":false,"family":"Hosen","given":"Jacob","email":"","middleInitial":"D.","affiliations":[{"id":17663,"text":"Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, Solomons, Maryland, United States","active":true,"usgs":false}],"preferred":false,"id":799473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aho, Kelly S.","contributorId":241075,"corporation":false,"usgs":false,"family":"Aho","given":"Kelly","email":"","middleInitial":"S.","affiliations":[{"id":48197,"text":"Yale","active":true,"usgs":false}],"preferred":false,"id":799474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Appling, Alison P. 0000-0003-3638-8572 aappling@usgs.gov","orcid":"https://orcid.org/0000-0003-3638-8572","contributorId":150595,"corporation":false,"usgs":true,"family":"Appling","given":"Alison","email":"aappling@usgs.gov","middleInitial":"P.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":799475,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Creech, E.C.","contributorId":241076,"corporation":false,"usgs":false,"family":"Creech","given":"E.C.","email":"","affiliations":[{"id":48197,"text":"Yale","active":true,"usgs":false}],"preferred":false,"id":799476,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fair, Jennifer H","contributorId":241077,"corporation":false,"usgs":false,"family":"Fair","given":"Jennifer H","affiliations":[{"id":48197,"text":"Yale","active":true,"usgs":false}],"preferred":false,"id":799477,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hall, Robert O","contributorId":198078,"corporation":false,"usgs":false,"family":"Hall","given":"Robert","email":"","middleInitial":"O","affiliations":[],"preferred":false,"id":799478,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kyzivat, Ethan","contributorId":241078,"corporation":false,"usgs":false,"family":"Kyzivat","given":"Ethan","affiliations":[{"id":48197,"text":"Yale","active":true,"usgs":false}],"preferred":false,"id":799479,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lowenthal, Rachel","contributorId":241079,"corporation":false,"usgs":false,"family":"Lowenthal","given":"Rachel","email":"","affiliations":[{"id":48197,"text":"Yale","active":true,"usgs":false}],"preferred":false,"id":799480,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Matt, Serena","contributorId":194108,"corporation":false,"usgs":false,"family":"Matt","given":"Serena","affiliations":[],"preferred":false,"id":799481,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Morrison, Jonathan 0000-0002-1756-4609","orcid":"https://orcid.org/0000-0002-1756-4609","contributorId":241080,"corporation":false,"usgs":true,"family":"Morrison","given":"Jonathan","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":799482,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Saiers, James E.","contributorId":191842,"corporation":false,"usgs":false,"family":"Saiers","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":799483,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":799484,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Weber, Lisa","contributorId":241081,"corporation":false,"usgs":false,"family":"Weber","given":"Lisa","affiliations":[{"id":48197,"text":"Yale","active":true,"usgs":false}],"preferred":false,"id":799485,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Yoon, Bryan","contributorId":241082,"corporation":false,"usgs":false,"family":"Yoon","given":"Bryan","email":"","affiliations":[{"id":48197,"text":"Yale","active":true,"usgs":false}],"preferred":false,"id":799486,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Raymond, Peter A.","contributorId":172876,"corporation":false,"usgs":false,"family":"Raymond","given":"Peter","email":"","middleInitial":"A.","affiliations":[{"id":17883,"text":"Yale School of Forestry and Environmental Studies, New Haven, CT","active":true,"usgs":false}],"preferred":false,"id":799487,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70215767,"text":"70215767 - 2019 - Multi‐scale habitat selection of elk in response to beetle‐killed forest","interactions":[],"lastModifiedDate":"2020-10-30T12:10:31.003186","indexId":"70215767","displayToPublicDate":"2019-02-05T06:59:25","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Multi‐scale habitat selection of elk in response to beetle‐killed forest","docAbstract":"Forests of the Rocky Mountains (USA and Canada) have experienced a large‐scale bark‐beetle (Dendoctronus ponderosae) epidemic that has led to widespread mortality of pine trees, followed by structural and compositional changes to the forest. The millions of dead trees resulting from this event likely have an effect on ecosystem processes, but currently those effects are mostly unclear. Changes to forest canopy and understory structure are likely to affect behavior and space use of large ungulates as forage abundance, thermal cover, and locomotive costs are presumably altered. We developed and tested hypotheses for how resource selection in summer of female elk (Cervus canadensis; n = 47; 2012–2016), the primary large mammal in our study area, was influenced by changes in canopy, understory vegetation, and downed logs in bark‐beetle affected forest in south‐central Wyoming, USA. We employed global positioning system (GPS) technology, an imagery‐derived land cover classification specifically depicting beetle‐affected forest, and on‐the‐ground forest measurements to develop resource and step selection functions. At the study area scale, elk avoided beetle‐killed forest during nearly all parts of the day and selected for intact conifer forest during the day. At the micro‐habitat scale, as canopy cover decreased in beetle‐killed areas, there was a concomitant increase in grass biomass and downed logs. Nevertheless, while in the forest, elk did not alter resource selection relative to changes in understory vegetation or downed logs. The boost in forage abundance within beetle‐killed areas was insufficient to overcome the presumed increases in energy expenditures associated with locomotion and thermoregulation in beetle‐killed forests. The bark‐beetle epidemic has altered how elk use the landscape and has resulted in a potential loss of forest habitat that elk use during the day. Our results indicate that habitat treatments (i.e., fire or harvest) that remove standing dead trees and downed logs in beetle‐killed forest would further facilitate understory growth while reducing the locomotion costs associated with foraging in beetle‐killed forest.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21631","usgsCitation":"Lamont, B.G., Monteith, K.L., Merkle, J., Mong, T.W., Albeke, S., Hayes, M.M., and Kauffman, M., 2019, Multi‐scale habitat selection of elk in response to beetle‐killed forest: Journal of Wildlife Management, v. 83, no. 3, p. 679-693, https://doi.org/10.1002/jwmg.21631.","productDescription":"15 p.","startPage":"679","endPage":"693","ipdsId":"IP-105648","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":379958,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming, Colorado","otherGeospatial":"Rocky Mountains, Medicine Bow‐Routt National Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.38311767578124,\n 40.57432635193039\n ],\n [\n -106.4739990234375,\n 40.57432635193039\n ],\n [\n -106.4739990234375,\n 41.37062534198901\n ],\n [\n -107.38311767578124,\n 41.37062534198901\n ],\n [\n -107.38311767578124,\n 40.57432635193039\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"83","issue":"3","noUsgsAuthors":false,"publicationDate":"2019-02-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Lamont, Bryan G.","contributorId":244120,"corporation":false,"usgs":false,"family":"Lamont","given":"Bryan","email":"","middleInitial":"G.","affiliations":[{"id":48000,"text":"U Wyoming","active":true,"usgs":false}],"preferred":false,"id":803526,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Monteith, Kevin L.","contributorId":198656,"corporation":false,"usgs":false,"family":"Monteith","given":"Kevin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":803349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Merkle, Jerod","contributorId":172972,"corporation":false,"usgs":false,"family":"Merkle","given":"Jerod","affiliations":[{"id":35288,"text":"Wyoming Cooperative Fish and Wildlife Research Unit, University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":803350,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mong, Tony W.","contributorId":243064,"corporation":false,"usgs":false,"family":"Mong","given":"Tony","email":"","middleInitial":"W.","affiliations":[{"id":48630,"text":"wy gF","active":true,"usgs":false}],"preferred":false,"id":803351,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Albeke, Shannon E.","contributorId":244121,"corporation":false,"usgs":false,"family":"Albeke","given":"Shannon E.","affiliations":[{"id":48000,"text":"U Wyoming","active":true,"usgs":false}],"preferred":false,"id":803527,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hayes, Matthew M.","contributorId":172344,"corporation":false,"usgs":false,"family":"Hayes","given":"Matthew","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":803353,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900 mkauffman@usgs.gov","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":189179,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew J.","email":"mkauffman@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":false,"id":803354,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70227527,"text":"70227527 - 2019 - In situ evaluation of benthic suffocation methods for suppression of invasive Lake Trout embryos in Yellowstone Lake","interactions":[],"lastModifiedDate":"2022-01-20T12:42:02.392986","indexId":"70227527","displayToPublicDate":"2019-02-05T06:39:51","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"In situ evaluation of benthic suffocation methods for suppression of invasive Lake Trout embryos in Yellowstone Lake","docAbstract":"Suppression of invasive Lake Trout Salvelinus namaycush is an important management tool to use in native fish and ecosystem conservation throughout the U.S. Intermountain West. Lake Trout suppression, primarily by gill netting, has been ongoing in Yellowstone Lake, Yellowstone National Park, Wyoming, since 1995. Additional methods that cause mortality of Lake Trout embryos could be used simultaneously with gill netting to enhance suppression. Our objective was to evaluate the in-situ efficacy of two benthic suffocation methods—tarping with gas-impermeable tarps and Lake Trout carcass deposition to increase the mortality of Lake Trout embryos. Tarping did not increase embryo mortality; mean control mortality was 21 ± 1.9% (mean ± SE), and mean tarp-treatment mortality was 20 ± 2.9%. Lake Trout carcass deposition caused 98 ± 1.2% mean mortality of embryos at the substrate surface and 100 ± 0.1% mean mortality of embryos 20 cm below the substrate surface. Hypoxic conditions in the carcass treatments were probably the cause of the high embryo mortality; dissolved oxygen concentrations at the substrate surface declined from 7.74 to 0.06 mg/L when carcasses remained on the treatment locations. The deposition of Lake Trout carcasses shows potential to be an additional suppression method that can induce mortality in Lake Trout embryos through benthic suffocation and could be implemented at Lake Trout spawning sites in Yellowstone Lake.
Lava flows pose a significant hazard to infrastructure and property located close to volcanoes, and understanding how flows advance is necessary to manage volcanic hazard during eruptions. Compared to low-silica basaltic flows, flows of andesitic composition are infrequently erupted and so relatively few studies of their characteristics and behaviour exist. We use El Reventador, Ecuador as a target to investigate andesitic lava flow properties during a 4.5 year period of extrusive eruption between February 2012 and August 2016. We use satellite radar to map the dimensions of 43 lava flows and look at variations in their emplacement behaviour over time. We find that flows descended the north and south flanks of El Reventador, and were mostly emplaced over durations shorter than the satellite repeat interval of 24 days. Flows ranged in length from 0.3 to 1.7 km, and the length of flows generally decreased over the observation period. We measure a decrease in flow volume with time that is correlated with a long-term exponential decrease in effusion rate, and propose that this behaviour is caused by temporary magma storage in the conduit acting as magma capacitor between the magma reservoir and the surface. We use the dimensions of flow levées and widths to estimate the flow yield strengths. We observe that some flows were diverted by topographic obstacles, and compare measurements of decreased channel width and increased flow thickness at the obstacles with observations from laboratory experiments. Radar observations, such as those presented here, could be used to map and measure properties of evolving lava flow fields at other remote or difficult to monitor volcanoes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2019.01.009","usgsCitation":"Arnold, D.W., Biggs, J., Dietterich, H., Vallejo Vargas, S., Wadge, G., and Mothes, P., 2019, Lava flow morphology at an erupting andesitic stratovolcano: A satellite perspective on El Reventador, Ecuador: Journal of Volcanology and Geothermal Research, v. 372, p. 34-47, https://doi.org/10.1016/j.jvolgeores.2019.01.009.","productDescription":"14 p.","startPage":"34","endPage":"47","ipdsId":"IP-100276","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467932,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2019.01.009","text":"Publisher Index Page"},{"id":360993,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Ecuador","otherGeospatial":"El Reventador","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.68844604492188,\n -0.12411107847813965\n ],\n [\n -77.5938606262207,\n -0.12411107847813965\n ],\n [\n -77.5938606262207,\n -0.047893518592493\n ],\n [\n -77.68844604492188,\n -0.047893518592493\n ],\n [\n -77.68844604492188,\n -0.12411107847813965\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"372","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Arnold, David W. D.","contributorId":206391,"corporation":false,"usgs":false,"family":"Arnold","given":"David","email":"","middleInitial":"W. D.","affiliations":[{"id":37322,"text":"University of Bristol","active":true,"usgs":false}],"preferred":false,"id":756548,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biggs, Juliet","contributorId":206389,"corporation":false,"usgs":false,"family":"Biggs","given":"Juliet","email":"","affiliations":[{"id":37322,"text":"University of Bristol","active":true,"usgs":false}],"preferred":false,"id":756549,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dietterich, Hannah R. 0000-0001-7898-4343","orcid":"https://orcid.org/0000-0001-7898-4343","contributorId":212771,"corporation":false,"usgs":true,"family":"Dietterich","given":"Hannah R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":756547,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vallejo Vargas, Silvia","contributorId":212772,"corporation":false,"usgs":false,"family":"Vallejo Vargas","given":"Silvia","email":"","affiliations":[{"id":38680,"text":"Instituto Geofisico","active":true,"usgs":false}],"preferred":false,"id":756550,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wadge, Geoffrey","contributorId":212773,"corporation":false,"usgs":false,"family":"Wadge","given":"Geoffrey","email":"","affiliations":[{"id":27392,"text":"University of Reading","active":true,"usgs":false}],"preferred":false,"id":756551,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mothes, Patricia","contributorId":178532,"corporation":false,"usgs":false,"family":"Mothes","given":"Patricia","affiliations":[],"preferred":false,"id":756552,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70201997,"text":"70201997 - 2019 - Response to “Prepublication communication of research results”: The need for a coordinated wildlife disease surveillance laboratory network","interactions":[],"lastModifiedDate":"2019-03-26T16:10:19","indexId":"70201997","displayToPublicDate":"2019-02-04T16:21:15","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1443,"text":"EcoHealth","active":true,"publicationSubtype":{"id":10}},"title":"Response to “Prepublication communication of research results”: The need for a coordinated wildlife disease surveillance laboratory network","docAbstract":"In “Prepublication Communication of Research Results”, Adams et al. (2018) outline the importance of timeliness in providing scientific results with consequential implications for wildlife management to responsible government agencies. The authors discuss various impediments to sharing of scientific results and provide well-reasoned arguments why scientists should not fear that sharing these results with wildlife management agencies will preclude their ability to subsequently publish this information in the peer-reviewed literature.
","language":"English","publisher":"Springer","doi":"10.1007/s10393-019-01396-5","usgsCitation":"Sleeman, J.M., Blehert, D.S., Richgels, K.L., and White, C.L., 2019, Response to “Prepublication communication of research results”: The need for a coordinated wildlife disease surveillance laboratory network: EcoHealth, v. 16, no. 1, p. 4-6, https://doi.org/10.1007/s10393-019-01396-5.","productDescription":"3 p.","startPage":"4","endPage":"6","ipdsId":"IP-101779","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":360992,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Sleeman, Jonathan M. 0000-0002-9910-6125 jsleeman@usgs.gov","orcid":"https://orcid.org/0000-0002-9910-6125","contributorId":128,"corporation":false,"usgs":true,"family":"Sleeman","given":"Jonathan","email":"jsleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":82110,"text":"Midcontinent Regional Director's Office","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":756559,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blehert, David S. 0000-0002-1065-9760 dblehert@usgs.gov","orcid":"https://orcid.org/0000-0002-1065-9760","contributorId":140397,"corporation":false,"usgs":true,"family":"Blehert","given":"David","email":"dblehert@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":756560,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richgels, Katherine L. D. 0000-0003-2834-9477 krichgels@usgs.gov","orcid":"https://orcid.org/0000-0003-2834-9477","contributorId":151205,"corporation":false,"usgs":true,"family":"Richgels","given":"Katherine","email":"krichgels@usgs.gov","middleInitial":"L. D.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":756561,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"White, C. LeAnn 0000-0002-5004-5165 clwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-5004-5165","contributorId":4315,"corporation":false,"usgs":true,"family":"White","given":"C.","email":"clwhite@usgs.gov","middleInitial":"LeAnn","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":756562,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70201989,"text":"70201989 - 2019 - Evaluation of temporally correlated noise in global navigation satellite system time series: Geodetic monument performance","interactions":[],"lastModifiedDate":"2019-03-04T11:09:16","indexId":"70201989","displayToPublicDate":"2019-02-04T16:12:29","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of temporally correlated noise in global navigation satellite system time series: Geodetic monument performance","docAbstract":"Estimates of background noise of Global Positioning System‐derived time series of positions for 740 sites in the western United States are examined. These data consist of daily epochs of three components of displacements that are at least 9.75 years long within the interval between 2000 and 2018. We find that these time series have significant temporal correlations that could be represented as a combination of white, flicker, random‐walk, and band‐pass filtered noise. From this noise model, two other metrics are computed: the root‐mean‐square of seasonal noise, that is, the integrated power spectrum between 0.5 and 2 cycles per year, and the standard error in position rate for a 10‐year‐long time series. These two metrics are used to evaluate potential correlations with different geographic regions and with different methods of construction of monuments used to attach the Global Positioning System antenna to the Earth's surface. The sites with the lowest noise, both in terms of rate error and seasonal root‐mean‐square, are located in semiarid regions east of the rain shadow provided by the Cascade and Sierra Nevada mountain ranges. In addition, according to statistical rank tests, monuments known as drilled‐braced monuments perform 30% to 50% better than other monument types (buildings, boreholes, piers, etc.) in terms of having smaller rate errors and lower seasonal noise.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JB016783","usgsCitation":"Langbein, J., and Svarc, J.L., 2019, Evaluation of temporally correlated noise in global navigation satellite system time series: Geodetic monument performance: Journal of Geophysical Research B: Solid Earth, v. 124, no. 1, p. 925-942, https://doi.org/10.1029/2018JB016783.","productDescription":"18 p.","startPage":"925","endPage":"942","ipdsId":"IP-099225","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":467933,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018jb016783","text":"Publisher Index Page"},{"id":360990,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"124","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Langbein, John 0000-0002-7821-8101","orcid":"https://orcid.org/0000-0002-7821-8101","contributorId":212735,"corporation":false,"usgs":true,"family":"Langbein","given":"John","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":756441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Svarc, Jerry L. 0000-0002-2802-4528","orcid":"https://orcid.org/0000-0002-2802-4528","contributorId":212736,"corporation":false,"usgs":true,"family":"Svarc","given":"Jerry","email":"","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":756442,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70201779,"text":"ofr20181176 - 2019 - Demographic responses of least terns and piping plovers to the 2011 Missouri River flood—A large-scale case study","interactions":[],"lastModifiedDate":"2019-02-05T09:24:10","indexId":"ofr20181176","displayToPublicDate":"2019-02-04T15:51:57","publicationYear":"2019","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":"2018-1176","displayTitle":"Demographic Responses of Least Terns and Piping Plovers to the 2011 Missouri River Flood—A Large-Scale Case Study","title":"Demographic responses of least terns and piping plovers to the 2011 Missouri River flood—A large-scale case study","docAbstract":"A catastrophic flood event on the Missouri River system in 2011 led to substantial changes in abundance and distribution of unvegetated sand habitat. This river system is a major component of the breeding range for interior Least terns (Sternula antillarum; “terns”) and piping plovers (Charadrius melodus; “plovers”), both of which are Federally listed ground-nesting birds that prefer open, unvegetated sand and gravel nesting substrates on sandbars and shorelines. The 2011 flood inundated essentially all tern and plover nesting habitat during 2011, but it had potential to generate post-flood habitat conditions that favored use by terns and plovers in subsequent years. We compared several tern and plover demographic parameters during the pre-flood and post-flood periods on the Garrison Reach and Lake Sakakawea, North Dakota, to determine how this event influenced these species (both species on the Garrison Reach, and plovers only on Lake Sakakawea). The principal parameters we measured (nest survival, chick survival, and breeding population) showed spatial and temporal variation typical of opportunistic species occupying highly variable habitats. There was little evidence that nest survival of least terns differed between pre- and post-flood. During 2012 when habitat was most abundant on the Garrison Reach and Lake Sakakawea, piping plover nest survival was higher than in any other year in the study, but returned to rates comparable to pre-flood years in 2013. Chick survival for terns on the Garrison Reach and plovers on Lake Sakakawea showed a similar pattern to plover nest survival, with the 2012 rate exceeding all other years of the study, and the remaining pre-flood and post-flood years being generally similar but slightly higher in post-flood years. However, plover chick survival on the Garrison Reach in 2012 was similar to pre-flood years, and increased annually thereafter to its highest rate in 2014. Although wide confidence intervals precluded firm conclusions about flood effects on breeding populations, the general pattern suggested lower populations of plovers but higher populations of least terns immediately after the flood. Despite near total absence of breeding habitat on either study area during the flood of 2011, populations of both species persisted after the flood due to their propensity to disperse and/or forgo breeding for at least a year. Tern and plover populations have similarly persisted and recovered after the flood, but their mechanisms for persistence likely differ. Data on tern dispersal is generally lacking, but they are thought to show little fidelity to their natal grounds, have a propensity to disperse potentially long distances, and routinely forgo breeding until their second year, thus a lost opportunity to breed in a given area may be easily overcome. Plovers exhibit stronger demographic ties to the general area in which they previously nested, yet they occupy much broader nesting habitat features than terns and exploit three major landforms in the Dakotas (free-flowing rivers, reservoir shorelines, and wetland shorelines). Consequently, dispersal to and from non-Missouri River habitats and potential to exploit non-traditional habitats likely sustained the Northern Great Plains population through the flood event. Terns and plovers normally occupy similar habitats on the Missouri River and both species experienced similar loss of a breeding season due to the flood. Persistence of these populations after the flood underscores the importance of understanding their unique demographic characteristics and the context within which the Missouri River operates.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181176","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Anteau, M.J., Sherfy, M.H., Shaffer, T.L., Swift, R.J., Toy, D.L., and Dovichin, C.M., 2019, Demographic responses of least terns and piping plovers to the 2011 Missouri River flood—A large-scale case study: U.S. Geological Survey Open-File Report 2018–1176, 33 p., https://doi.org/10.3133/ofr20181176.","productDescription":"Report: viii, 33 p.; Data Release","numberOfPages":"46","onlineOnly":"N","ipdsId":"IP-079007","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":360855,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VHGRDD","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Least tern and piping plover responses to the 2011 Missouri River flood: Nest, chick, and adult datasets"},{"id":360853,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1176/coverthb2.jpg"},{"id":360854,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1176/ofr20181176.pdf","text":"Report","size":"3.71 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018–1176"}],"country":"United States","state":"North Dakota","otherGeospatial":"Garrison Reach, Lake Sakakawea","contact":"Director, Northern Prairie Wildlife Research Center
U.S. Geological Survey
8711 37th Street Southeast
Jamestown, ND 58401
Wild-harvested plants face increasing demand globally. As in many fisheries, monitoring the effect of harvesting on the size and trajectory of resource stocks presents many challenges given often limited data from disparate sources. Here we analyze American ginseng (Panax quinquefolius L.) harvests from 18 states in the eastern U.S. 1978–2014 to infer temporal patterns and evidence of population declines, and we test the effects of local environmental and socioeconomic factors on ginseng harvesting at the county level 2000–2014.
Despite rising prices, annual wild ginseng harvests decreased from a high point in the late 1980s to early 1990s, then, in most, increased after 2005 or 2010 - suggesting range-wide overexploitation notwithstanding federal regulations that, since 1999, restrict minimum harvest age. County-level harvest rates increased with available habitat, road density, poverty and unemployment, but decreased when public land formed a large proportion of county area. Harvests were largest in the Southern Appalachian region. Poverty and accessibility were strongly related to high levels of harvesting.
A key implication is that to conserve valuable wild native plant products while also improving local livelihoods, wild cultivation and good stewardship practices must be strongly promoted. Our approach to assessing the condition of wild populations offers a broad template that could be adapted to other wild-harvested plants.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2019.01.006","usgsCitation":"Schmidt, J.P., Cruse-Sanders, J., Chamberlain, J.L., Ferreira, S., and Young, J.A., 2019, Explaining harvests of wild-harvested herbaceous plants: American ginseng as a case study: Biological Conservation, v. 231, p. 139-149, https://doi.org/10.1016/j.biocon.2019.01.006.","productDescription":"11 p.","startPage":"139","endPage":"149","ipdsId":"IP-096950","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":467934,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2019.01.006","text":"Publisher Index Page"},{"id":360980,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"231","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schmidt, John Paul","contributorId":212723,"corporation":false,"usgs":false,"family":"Schmidt","given":"John","email":"","middleInitial":"Paul","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":756429,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cruse-Sanders, Jennifer","contributorId":212724,"corporation":false,"usgs":false,"family":"Cruse-Sanders","given":"Jennifer","email":"","affiliations":[{"id":38678,"text":"State Botanical Garden of Georgia","active":true,"usgs":false}],"preferred":false,"id":756430,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chamberlain, James L.","contributorId":212725,"corporation":false,"usgs":false,"family":"Chamberlain","given":"James","email":"","middleInitial":"L.","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":756431,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ferreira, Susana","contributorId":212726,"corporation":false,"usgs":false,"family":"Ferreira","given":"Susana","email":"","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":756432,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Young, John A. 0000-0002-4500-3673 jyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-3673","contributorId":3777,"corporation":false,"usgs":true,"family":"Young","given":"John","email":"jyoung@usgs.gov","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":756428,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70201967,"text":"70201967 - 2019 - Mercury isotopes reveal an ontogenetic shift in habitat use by walleye in lower Green Bay of Lake Michigan","interactions":[],"lastModifiedDate":"2019-02-04T12:46:45","indexId":"70201967","displayToPublicDate":"2019-02-04T12:46:40","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5022,"text":"Environmental Science & Technology Letters","onlineIssn":"2328-8930","active":true,"publicationSubtype":{"id":10}},"title":"Mercury isotopes reveal an ontogenetic shift in habitat use by walleye in lower Green Bay of Lake Michigan","docAbstract":"In general, fish residing in rivers differ from fish residing in lakes in their mercury (Hg) isotope ratios. Specifically, fish residing in lakes typically show enriched values for the isotope ratios of δ202Hg (mass-dependent fractionation of isotope 202Hg) and Δ199Hg (mass-independent fractionation of isotope 199Hg) compared with fish residing in rivers, because photochemical effects acting on Hg isotope ratios are stronger in lakes than in rivers. Whole-fish determinations of Hg isotope ratios in age-0 and adult (ages 4–11) walleye (Sander vitreus) caught in the Fox River, the main tributary to lower Green Bay of Lake Michigan, were dissimilar. Age-0 fish exhibited a river signature for δ202Hg and Δ199Hg, with means equal to 0.00 and 0.26‰, respectively. Significantly elevated levels of δ202Hg and Δ199Hg were observed in adult fish, indicating that adult fish primarily resided in the bay. Our results implied that the Fox River serves as a nursery area for juvenile walleye in the Fox River–lower Green Bay ecosystem. Moreover, corrections for photochemical fractionation of δ202Hg revealed that age-0 and adult walleye shared the same source of Hg in this ecosystem. In addition, Hg isotope ratios did not significantly differ between the sexes of adult walleye, suggesting that these ratios did not fractionate during the Hg elimination process.
","language":"English","publisher":"ACS","doi":"10.1021/acs.estlett.8b00592","usgsCitation":"Madenjian, C.P., Janssen, S., Lepak, R., Ogorek, J.M., Rosera, T., DeWild, J.F., Krabbenhoft, D.P., Cogswell, S.F., and Holey, M.E., 2019, Mercury isotopes reveal an ontogenetic shift in habitat use by walleye in lower Green Bay of Lake Michigan: Environmental Science & Technology Letters, v. 6, no. 1, p. 8-13, https://doi.org/10.1021/acs.estlett.8b00592.","productDescription":"6 p.","startPage":"8","endPage":"13","ipdsId":"IP-101314","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":360977,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":756363,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Janssen, Sarah E. 0000-0003-4432-3154","orcid":"https://orcid.org/0000-0003-4432-3154","contributorId":210991,"corporation":false,"usgs":true,"family":"Janssen","given":"Sarah E.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":756365,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lepak, Ryan F. 0000-0003-2806-1895","orcid":"https://orcid.org/0000-0003-2806-1895","contributorId":210990,"corporation":false,"usgs":false,"family":"Lepak","given":"Ryan F.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":756366,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ogorek, Jacob M. 0000-0002-6327-0740 jmogorek@usgs.gov","orcid":"https://orcid.org/0000-0002-6327-0740","contributorId":4960,"corporation":false,"usgs":true,"family":"Ogorek","given":"Jacob","email":"jmogorek@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":756367,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosera, Tylor J.","contributorId":212697,"corporation":false,"usgs":false,"family":"Rosera","given":"Tylor J.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":756369,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeWild, John F. 0000-0003-4097-2798 jfdewild@usgs.gov","orcid":"https://orcid.org/0000-0003-4097-2798","contributorId":2525,"corporation":false,"usgs":true,"family":"DeWild","given":"John","email":"jfdewild@usgs.gov","middleInitial":"F.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":756368,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":756364,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cogswell, Stewart F.","contributorId":212698,"corporation":false,"usgs":false,"family":"Cogswell","given":"Stewart","email":"","middleInitial":"F.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":756370,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Holey, Mark E.","contributorId":212699,"corporation":false,"usgs":false,"family":"Holey","given":"Mark","email":"","middleInitial":"E.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":756371,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70201969,"text":"70201969 - 2019 - Effects of flood inundation, invasion by Phalaris arundinacea, and nitrogen enrichment on extracellular enzyme activity in an Upper Mississippi River floodplain forest","interactions":[],"lastModifiedDate":"2019-06-18T10:04:01","indexId":"70201969","displayToPublicDate":"2019-02-04T12:43:31","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3751,"text":"Wetlands Ecology and Management","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Effects of flood inundation, invasion by Phalaris arundinacea, and nitrogen enrichment on extracellular enzyme activity in an Upper Mississippi River floodplain forest","title":"Effects of flood inundation, invasion by Phalaris arundinacea, and nitrogen enrichment on extracellular enzyme activity in an Upper Mississippi River floodplain forest","docAbstract":"The community structures and ecosystem functions of floodplains are primarily driven by variation in flood inundation. However, global changes, such as invasive species and nutrient enrichment, may alter the effects of flooding in these systems. We added nitrogen (N) to correspond with twice the annual atmospheric deposition rate of the south-west Wisconsin, USA region within mature floodplain forest plots and patches of an invasive grass (reed canarygrass, Phalaris arundinacea) along a floodplain elevation gradient in an Upper Mississippi River floodplain forest. We measured soil physicochemical properties and the activity of six extracellular enzymes during 3 months that varied in flooding conditions. Multivariate analyses (distance-based redundancy analysis) revealed that floodplain elevation, month of sampling, and vegetation type were all significant predictors of variation in soil physicochemical properties, while elevation and month were significant predictors of multivariate extracellular enzyme activity (EEA). The best model for predicting EEA consisted of nitrogen availability, soil porosity, and water filled pore space. Although the categorical fertilization and invasion treatments were not significant predictors of EEA, our results suggest that their effects depend on the degree to which they modify N availability and soil moisture. In this system, spatial and temporal patterns in flooding appear to be the main driver of these properties, but N enrichment and invasion may have the potential to further modify them.
","language":"English","publisher":"Springer","doi":"10.1007/s11273-018-09651-2","usgsCitation":"De Jager, N.R., Swanson, W., Hernandez, D.L., Reich, J., Erickson, R.A., and Strauss, E.A., 2019, Effects of flood inundation, invasion by Phalaris arundinacea, and nitrogen enrichment on extracellular enzyme activity in an Upper Mississippi River floodplain forest: Wetlands Ecology and Management, v. 27, no. 2-3, p. 443-454, https://doi.org/10.1007/s11273-018-09651-2.","productDescription":"12 p.","startPage":"443","endPage":"454","ipdsId":"IP-102848","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":437583,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9K2RQMG","text":"USGS data release","linkHelpText":"Effects of flood inundation, invasion by Phalaris arundinacea, and nitrogen deposition on extracellular enzyme activity in an UMR forest: Data"},{"id":360976,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Upper MIssissippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.40556335449219,\n 43.69071491326582\n ],\n [\n -91.11717224121094,\n 43.69071491326582\n ],\n [\n -91.11717224121094,\n 43.90778718292443\n ],\n [\n -91.40556335449219,\n 43.90778718292443\n ],\n [\n -91.40556335449219,\n 43.69071491326582\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"27","issue":"2-3","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"De Jager, Nathan R. 0000-0002-6649-4125 ndejager@usgs.gov","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":3717,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"ndejager@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":756373,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swanson, Whitney","contributorId":194558,"corporation":false,"usgs":false,"family":"Swanson","given":"Whitney","affiliations":[],"preferred":false,"id":756374,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hernandez, Daniel L.","contributorId":205330,"corporation":false,"usgs":false,"family":"Hernandez","given":"Daniel","email":"","middleInitial":"L.","affiliations":[{"id":33615,"text":"Carleton College","active":true,"usgs":false}],"preferred":false,"id":756375,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reich, Julia","contributorId":205331,"corporation":false,"usgs":false,"family":"Reich","given":"Julia","email":"","affiliations":[{"id":33615,"text":"Carleton College","active":true,"usgs":false}],"preferred":false,"id":756376,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":756377,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Strauss, Eric A.","contributorId":190148,"corporation":false,"usgs":false,"family":"Strauss","given":"Eric","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":756378,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70228125,"text":"70228125 - 2019 - Seasonal home ranges and habitat selection of three elk (Cervus elaphus) herds in North Dakota","interactions":[],"lastModifiedDate":"2022-02-04T17:43:06.939077","indexId":"70228125","displayToPublicDate":"2019-02-04T11:27:09","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Seasonal home ranges and habitat selection of three elk (Cervus elaphus) herds in North Dakota","title":"Seasonal home ranges and habitat selection of three elk (Cervus elaphus) herds in North Dakota","docAbstract":"Changes in land use have resulted in range shifts of many wildlife species, including those entering novel environments, resulting in the critical need to understand their spatial ecology to inform ecosystem effects and management decisions. Dispersing elk (Cervus elaphus) were colonizing areas of suitable habitat in the Northern Great Plains, USA, resulting in crop depredation complaints in these areas. Although state resource managers had little information on these elk herds, limited evidence suggested temporal movements into Canada. We collected and analyzed essential information on home range and habitat selection for 3 elk herds residing in North Dakota. We captured 5 adult female elk in each study area, affixed global positioning system collars, and monitored them for 1 year (2016–2017). We estimated diel period, seasonal, and hunting season home ranges using Brownian Bridge Movement Models for each individual. We analyzed habitat selection using multinomial logit models to test for differences in use of land classes, and for departures from proportionate use based on random sampling; our predictor variables included individual elk, diel period, and season. Home ranges differed between the 3 herds, seasons, and diel period; gun and winter season home ranges were both larger than in summer, as was night when compared with day. Female elk generally restricted themselves to cover during the day and entered open areas at night and during winter months. Our results also suggest that elk in our study areas tended to seek more cover, and in the case of our Turtle Mountain study area, some cross into Canada during gun season. Our study provides a better understanding of the spatial ecology of elk in the Northern Great Plains while highlighting the need for enhanced international cooperative management efforts.
","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0211650","usgsCitation":"Amor, J.M., Newman, R., Jensen, W.F., Rundquist, B., Walter, W., and Boulanger, J.R., 2019, Seasonal home ranges and habitat selection of three elk (Cervus elaphus) herds in North Dakota: PLoS ONE, v. 14, no. 2, p. 1-17, https://doi.org/10.1371/journal.pone.0211650.","productDescription":"e0211650, 17 p.","startPage":"1","endPage":"17","ipdsId":"IP-102787","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467935,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0211650","text":"Publisher Index Page"},{"id":395453,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota","otherGeospatial":"Pembina Hills, Porcupine Hills, Turtle Mountain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -100.5029296875,\n 48.75075629617738\n ],\n [\n -99.6624755859375,\n 48.75075629617738\n ],\n [\n -99.6624755859375,\n 49.001843917978526\n ],\n [\n -100.5029296875,\n 49.001843917978526\n ],\n [\n -100.5029296875,\n 48.75075629617738\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -98.37158203125,\n 48.474742152125636\n ],\n [\n -97.61627197265625,\n 48.474742152125636\n ],\n [\n -97.61627197265625,\n 49.00004203215395\n ],\n [\n -98.37158203125,\n 49.00004203215395\n ],\n [\n -98.37158203125,\n 48.474742152125636\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -100.9808349609375,\n 45.98932892799953\n ],\n [\n -100.6951904296875,\n 45.98932892799953\n ],\n [\n -100.6951904296875,\n 46.13607331774968\n ],\n [\n -100.9808349609375,\n 46.13607331774968\n ],\n [\n -100.9808349609375,\n 45.98932892799953\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"14","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-02-04","publicationStatus":"PW","contributors":{"editors":[{"text":"Weckerly, Floyd W.","contributorId":15545,"corporation":false,"usgs":true,"family":"Weckerly","given":"Floyd","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":833214,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Amor, Jacqueline M.","contributorId":274630,"corporation":false,"usgs":false,"family":"Amor","given":"Jacqueline","email":"","middleInitial":"M.","affiliations":[{"id":17628,"text":"University of North Dakota","active":true,"usgs":false}],"preferred":false,"id":833172,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Newman, Robert","contributorId":248514,"corporation":false,"usgs":false,"family":"Newman","given":"Robert","affiliations":[],"preferred":false,"id":833173,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jensen, William F.","contributorId":204832,"corporation":false,"usgs":false,"family":"Jensen","given":"William","email":"","middleInitial":"F.","affiliations":[{"id":36989,"text":"North Dakota Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":833174,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rundquist, Bradley 0000-0002-2572-9792","orcid":"https://orcid.org/0000-0002-2572-9792","contributorId":251983,"corporation":false,"usgs":false,"family":"Rundquist","given":"Bradley","email":"","affiliations":[],"preferred":false,"id":833175,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walter, W. David 0000-0003-3068-1073","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":219540,"corporation":false,"usgs":true,"family":"Walter","given":"W. David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":833171,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boulanger, Jason R.","contributorId":264725,"corporation":false,"usgs":false,"family":"Boulanger","given":"Jason","email":"","middleInitial":"R.","affiliations":[{"id":17628,"text":"University of North Dakota","active":true,"usgs":false}],"preferred":false,"id":833176,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70215390,"text":"70215390 - 2019 - Influences of Lake Trout (Salvelinus namaycush) and Mysis diluviana on Kokanee (Oncorhynchus nerka) in Lake Pend Oreille, Idaho","interactions":[],"lastModifiedDate":"2020-10-17T16:07:32.778296","indexId":"70215390","displayToPublicDate":"2019-02-04T10:58:36","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Influences of Lake Trout (Salvelinus namaycush) and Mysis diluviana on Kokanee (Oncorhynchus nerka) in Lake Pend Oreille, Idaho","docAbstract":"Research on Lake Pend Oreille, Idaho, has focused on the influence of two potential limiting factors for kokanee Oncorhynchus nerka (Walbaum, 1792): competition for food with Mysis diluviana (Loven, 1862, hereafter Mysis) and predation by lake trout Salvelinus namaycush (Walbaum, 1792). Population fluctuations of Mysis and lake trout have resulted in substantial heterogeneity in food web conditions, apparently altering both bottom-up and top-down dynamics. Therefore, relative importance of predation and competition were evaluated as drivers of kokanee abundance, biomass, and production. A series of general linear models was used to evaluate relative influences of Mysis and lake trout on kokanee. Kokanee production was a density-dependent process and the collapse of Mysis corresponded to an increase in the modeled maximum annual production of kokanee from 224 tonnes to 408 tonnes. Lake trout also negatively influenced kokanee biomass. A Mysis-mediated, predator-induced kokanee biomass collapse occurred when lake trout and Mysis abundances were both high. Sustainable management of this fishery requires recognition that competition with Mysis will define the scope of kokanee production and therefore the scope of sustainable predation.
The innermost ring in impact basins exposes material originating from various depths, and can be used to study the composition of the lunar crust with depth. In this study, we conduct quantitative mineralogical analyses of the innermost ring in 13 lunar impact basins using reflectance data from the Kaguya Multiband Imager and radiative transfer modeling. We use results from recent hydrocode modeling to calculate the depth of origin of the material exposed by the innermost rings. We find that the most abundant rock type on the innermost ring of most basins is anorthosite. The mafic assemblages are dominated by olivine in some cases, but most often by pyroxene. The impact modeling suggests that the innermost ring material was excavated from a wide range of depths. Here we focus on two mean depths: a crustal component and a mantle component. The crustal component largely dominates the innermost ring material, and the mantle component is present on the innermost ring of 9 of the basins we studied. On these 9 rings, the abundance of low-calcium pyroxene decreases with the proportion of crustal component, suggesting a dominantly mantle origin. However, as we do not detect exposures of ultramafic material, such mantle material is possibly present at the sub-pixel scale (<62 m). This quantitative study reassesses the composition of the lunar crust and upper mantle, which is of great importance for understanding the formation of the Moon.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.pss.2018.10.003","usgsCitation":"Lemelin, M., Lucey, P.G., Miljkovic, K., Gaddis, L.R., Hare, T.M., and Ohtake, M., 2019, The compositions of the lunar crust and upper mantle: Spectral analysis of the inner rings of lunar impact basins: Planetary and Space Science, v. 165, p. 230-243, https://doi.org/10.1016/j.pss.2018.10.003.","productDescription":"14 p.","startPage":"230","endPage":"243","ipdsId":"IP-080945","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":460501,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://id.nii.ac.jp/1696/00030188/","text":"Publisher Index Page"},{"id":361216,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"165","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lemelin, Myriam","contributorId":213214,"corporation":false,"usgs":false,"family":"Lemelin","given":"Myriam","email":"","affiliations":[],"preferred":false,"id":757133,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lucey, Paul G.","contributorId":100218,"corporation":false,"usgs":true,"family":"Lucey","given":"Paul","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":757134,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miljkovic, Katarina","contributorId":213215,"corporation":false,"usgs":false,"family":"Miljkovic","given":"Katarina","email":"","affiliations":[],"preferred":false,"id":757135,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gaddis, Lisa R. 0000-0001-9953-5483 lgaddis@usgs.gov","orcid":"https://orcid.org/0000-0001-9953-5483","contributorId":2817,"corporation":false,"usgs":true,"family":"Gaddis","given":"Lisa","email":"lgaddis@usgs.gov","middleInitial":"R.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":757136,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hare, Trent M. 0000-0001-8842-389X thare@usgs.gov","orcid":"https://orcid.org/0000-0001-8842-389X","contributorId":3188,"corporation":false,"usgs":true,"family":"Hare","given":"Trent","email":"thare@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":757137,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ohtake, Makiko","contributorId":213216,"corporation":false,"usgs":false,"family":"Ohtake","given":"Makiko","email":"","affiliations":[],"preferred":false,"id":757138,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70202172,"text":"70202172 - 2019 - Effects of antecedent streamflow and sample timing on trend assessments of fish, invertebrate, and diatom communities","interactions":[],"lastModifiedDate":"2019-02-12T16:40:10","indexId":"70202172","displayToPublicDate":"2019-02-01T16:40:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Effects of antecedent streamflow and sample timing on trend assessments of fish, invertebrate, and diatom communities","docAbstract":"Detecting trends in biological attributes is central to many stream monitoring programs; however, understanding how natural variability in environmental factors affects trend results is not well understood. We evaluated the influence of antecedent streamflow and sample timing (covariates) on trend estimates for fish, invertebrate, and diatom taxa richness and biological condition from 2002 to 2012 at 51 sites distributed across the conterminous United States. A combination of linear regression and Kendall‐tau test for trends were used to evaluate covariate influence on trend estimates. Adjusting for covariates changed the magnitude of trend estimates in two‐thirds of cases on average by 21%, most often reducing the estimated magnitude of the trend. Additionally, covariates influenced the interpretation of over one‐third of trend estimates by either strengthening or weakening trends after adjustment. Our findings clearly indicate that antecedent streamflow and sample timing influences trend estimates and subsequent interpretation. Accounting for covariates during trend analysis will enhance stream monitoring programs by providing a better understanding and interpretation of estimated changes in biological endpoints at monitored sites. Failure to account for antecedent streamflow and sample timing may lead to mischaracterization of a trend and/or misunderstanding of potential causes.
","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12706","usgsCitation":"Zuellig, R.E., and Carlisle, D.M., 2019, Effects of antecedent streamflow and sample timing on trend assessments of fish, invertebrate, and diatom communities: Journal of the American Water Resources Association, v. 55, no. 1, p. 102-115, https://doi.org/10.1111/1752-1688.12706.","productDescription":"14 p.","startPage":"102","endPage":"115","ipdsId":"IP-091154","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":467936,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.12706","text":"Publisher Index Page"},{"id":437584,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EEFX0B","text":"USGS data release","linkHelpText":"Datasets used to asses the effects of antecedent streamflow and sample timing on trend assessments of fish, invertebrate and diatom communities (2002-12)"},{"id":361210,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Zuellig, Robert E. 0000-0002-4784-2905 rzuellig@usgs.gov","orcid":"https://orcid.org/0000-0002-4784-2905","contributorId":1620,"corporation":false,"usgs":true,"family":"Zuellig","given":"Robert","email":"rzuellig@usgs.gov","middleInitial":"E.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":757093,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70202179,"text":"70202179 - 2019 - Isotopes matter","interactions":[],"lastModifiedDate":"2019-02-12T16:17:22","indexId":"70202179","displayToPublicDate":"2019-02-01T16:16:37","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1222,"text":"Chemistry International","active":true,"publicationSubtype":{"id":10}},"title":"Isotopes matter","docAbstract":"Two years ago, the King’s Centre for Visualization in Science (KCVS) at The King’s University, Edmonton released a new digital interactive version of the IUPAC Periodic Table of the Elements and Isotopes with accompanying educational resources at an International Conference on Chemistry Education. It can be found at www.isotopesmatter.com. The effort was part of an IUPAC project. The science behind this new table was developed by Inorganic Chemistry Division scientists working for over a decade on an earlier IUPAC project. These projects were joint efforts between the IUPAC Committee on Chemistry Education (CCE) and the Inorganic Chemistry Division.
","language":"English","publisher":"De Gruyter","doi":"10.1515/ci-2019-0107","usgsCitation":"Holden, N.E., Coplen, T.B., and Mahaffy, P., 2019, Isotopes matter: Chemistry International, v. 41, no. 1, p. 27-31, https://doi.org/10.1515/ci-2019-0107.","productDescription":"5 p.","startPage":"27","endPage":"31","ipdsId":"IP-102405","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":467937,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1515/ci-2019-0107","text":"Publisher Index Page"},{"id":361207,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Holden, Norman E.","contributorId":189167,"corporation":false,"usgs":false,"family":"Holden","given":"Norman","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":757123,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":757122,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mahaffy, Peter","contributorId":213212,"corporation":false,"usgs":false,"family":"Mahaffy","given":"Peter","affiliations":[{"id":38723,"text":"The King’s University, Edmonton, Canada","active":true,"usgs":false}],"preferred":false,"id":757124,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70201964,"text":"70201964 - 2019 - Climate change, coral loss, and the curious case of the parrotfish paradigm: Why don't marine protected areas improve reef resilience?","interactions":[],"lastModifiedDate":"2019-02-04T16:01:16","indexId":"70201964","displayToPublicDate":"2019-02-01T16:01:12","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":811,"text":"Annual Review of Marine Science","active":true,"publicationSubtype":{"id":10}},"title":"Climate change, coral loss, and the curious case of the parrotfish paradigm: Why don't marine protected areas improve reef resilience?","docAbstract":"Scientists have advocated for local interventions, such as creating marine protected areas and implementing fishery restrictions, as ways to mitigate local stressors to limit the effects of climate change on reef-building corals. However, in a literature review, we find little empirical support for the notion of managed resilience. We outline some reasons for why marine protected areas and the protection of herbivorous fish (especially parrotfish) have had little effect on coral resilience. One key explanation is that the impacts of local stressors (e.g., pollution and fishing) are often swamped by the much greater effect of ocean warming on corals. Another is the sheer complexity (including numerous context dependencies) of the five cascading links assumed by the managed-resilience hypothesis. If reefs cannot be saved by local actions alone, then it is time to face reef degradation head-on, by directly addressing anthropogenic climate change—the root cause of global coral decline.
","language":"English","publisher":"Annual Reviews","doi":"10.1146/annurev-marine-010318-095300","usgsCitation":"Bruno, J.F., Cote, I.M., and Toth, L., 2019, Climate change, coral loss, and the curious case of the parrotfish paradigm: Why don't marine protected areas improve reef resilience?: Annual Review of Marine Science, v. 11, p. 307-334, https://doi.org/10.1146/annurev-marine-010318-095300.","productDescription":"28 p.","startPage":"307","endPage":"334","ipdsId":"IP-097955","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467938,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1146/annurev-marine-010318-095300","text":"Publisher Index Page"},{"id":360987,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bruno, John F. 0000-0003-2063-4185","orcid":"https://orcid.org/0000-0003-2063-4185","contributorId":212693,"corporation":false,"usgs":false,"family":"Bruno","given":"John","email":"","middleInitial":"F.","affiliations":[{"id":16637,"text":"University of North Carolina, Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":756355,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cote, Isabelle M.","contributorId":212694,"corporation":false,"usgs":false,"family":"Cote","given":"Isabelle","email":"","middleInitial":"M.","affiliations":[{"id":36678,"text":"Simon Fraser University","active":true,"usgs":false}],"preferred":false,"id":756356,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Toth, Lauren T. 0000-0002-2568-802X ltoth@usgs.gov","orcid":"https://orcid.org/0000-0002-2568-802X","contributorId":181748,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren","email":"ltoth@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":756354,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}