The Saline Valley Conservancy District (SVCD) operates wells that supply water to most of the water users in Saline and Gallatin Counties, Illinois. The SVCD wells draw water from a shallow sand and gravel aquifer located in close proximity to an abandoned underground coal mine, several abandoned oil wells, and at least one operational oil well. The aquifer that yields water to the SVCD wells overlies the New Albany Shale, which may be subjected to shale-gas exploration by use of hydraulic fracturing. The SVCD has sought technical assistance from the U.S. Geological Survey to characterize baseline water quality at the SVCD well field so that future changes in water quality (if any) and the cause of those changes (including mine leachate and hydraulic fracturing) can be identified.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1009","collaboration":"Prepared in cooperation with the Saline Valley Conservancy District","usgsCitation":"Gorczynska, Magdalena, and Kay, R.T., 2016, Groundwater quality at the Saline Valley Conservancy District well field, Gallatin County, Illinois: U.S. Geological Survey Data Series 1009, 13 p., https://dx.doi.org/10.3133/ds1009.","productDescription":"iv, 13 p.","numberOfPages":"22","onlineOnly":"Y","ipdsId":"IP-068668","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":327989,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1009/coverthb.jpg"},{"id":327990,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1009/ds1009.pdf","text":"Report","size":"300 kB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1009"}],"country":"United States","state":"Illinois","county":"Gallatin County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-88.0897,37.8995],[-88.0882,37.8966],[-88.0864,37.8931],[-88.0841,37.8904],[-88.0831,37.8892],[-88.0818,37.8876],[-88.079,37.884],[-88.0767,37.8803],[-88.0739,37.8766],[-88.0721,37.8735],[-88.0689,37.8691],[-88.0666,37.8652],[-88.0625,37.8598],[-88.0558,37.8557],[-88.0499,37.8531],[-88.0411,37.8495],[-88.0329,37.8469],[-88.0304,37.8457],[-88.0278,37.8444],[-88.0251,37.8417],[-88.024,37.8389],[-88.0239,37.8363],[-88.0239,37.8357],[-88.0252,37.8317],[-88.0262,37.8306],[-88.0267,37.8302],[-88.0276,37.8296],[-88.0293,37.829],[-88.0326,37.8276],[-88.0331,37.8274],[-88.0377,37.8265],[-88.0418,37.826],[-88.0474,37.8265],[-88.0503,37.8271],[-88.0523,37.8276],[-88.0588,37.8303],[-88.0652,37.8325],[-88.0677,37.8334],[-88.0723,37.8349],[-88.0758,37.8355],[-88.0793,37.835],[-88.0822,37.8336],[-88.0833,37.8318],[-88.0838,37.829],[-88.0837,37.8261],[-88.0836,37.8251],[-88.0821,37.8211],[-88.0819,37.8205],[-88.0794,37.8155],[-88.0772,37.8118],[-88.0763,37.8106],[-88.0711,37.8077],[-88.0659,37.8059],[-88.0612,37.8053],[-88.0566,37.8062],[-88.053,37.8075],[-88.0501,37.8093],[-88.049,37.8097],[-88.0466,37.8106],[-88.0421,37.8117],[-88.0413,37.8118],[-88.0367,37.8119],[-88.0351,37.8116],[-88.0333,37.8111],[-88.031,37.8098],[-88.03,37.8086],[-88.0292,37.8072],[-88.0281,37.804],[-88.0277,37.8023],[-88.027,37.799],[-88.03,37.795],[-88.0309,37.7919],[-88.0316,37.7881],[-88.0326,37.7829],[-88.0331,37.7805],[-88.0352,37.7698],[-88.0408,37.7619],[-88.0417,37.7606],[-88.0531,37.7445],[-88.0644,37.7365],[-88.0836,37.728],[-88.0854,37.7271],[-88.0953,37.7227],[-88.1036,37.7183],[-88.1182,37.7105],[-88.1317,37.6979],[-88.1478,37.6776],[-88.1528,37.67],[-88.1541,37.6672],[-88.1552,37.6645],[-88.1565,37.6591],[-88.1566,37.6564],[-88.1566,37.6541],[-88.1567,37.6484],[-88.1534,37.638],[-88.1527,37.6358],[-88.1425,37.6132],[-88.1414,37.6106],[-88.1371,37.5961],[-88.1335,37.5836],[-88.1301,37.579],[-88.1233,37.5717],[-88.1354,37.5773],[-88.1481,37.5765],[-88.1528,37.5775],[-88.1568,37.5789],[-88.1647,37.5912],[-88.167,37.5935],[-88.1699,37.5958],[-88.1907,37.6024],[-88.2075,37.6025],[-88.2604,37.6031],[-88.3719,37.6028],[-88.3718,37.6894],[-88.3721,37.7039],[-88.3739,37.7783],[-88.3732,37.8648],[-88.3742,37.9097],[-88.3311,37.9102],[-88.3071,37.9123],[-88.2634,37.9118],[-88.2482,37.9121],[-88.2295,37.9128],[-88.2126,37.9117],[-88.1362,37.9127],[-88.1349,37.9173],[-88.1193,37.9089],[-88.11,37.9056],[-88.106,37.902],[-88.1026,37.8979],[-88.0998,37.8933],[-88.0975,37.8919],[-88.0951,37.8923],[-88.0897,37.8995]]]},\"properties\":{\"name\":\"Gallatin\",\"state\":\"IL\"}}]}","contact":"Director, Illinois Water Science Center
U.S. Geological Survey
405 N Goodwin
Urbana, Illinois 61801
A multiyear radiotelemetry evaluation was conducted to monitor adult steelhead (Oncorhynchus mykiss), Chinook salmon (O. tshawytscha), and coho salmon (O. kisutch) behavior and movement patterns in the upper Cowlitz River Basin. Volitional passage to this area was eliminated by dam construction in the mid-1960s, and a reintroduction program began in the mid-1990s. Fish are transported around the dams using a trap-and-haul program, and adult release sites are located in Lake Scanewa, the uppermost reservoir in the system, and in the Cowlitz and Cispus Rivers. Our goal was to estimate the proportion of tagged fish that fell back downstream of Cowlitz Falls Dam before the spawning period and to determine the proportion that were present in the Cowlitz and Cispus Rivers during the spawning period. Fallback is important because Cowlitz Falls Dam does not have upstream fish passage, so fish that pass the dam are unable to move back upstream and spawn. A total of 2,051 steelhead and salmon were tagged for the study, which was conducted during 2005–09 and 2012, and 173 (8.4 percent) of these regurgitated their transmitter prior to, or shortly after release. Once these fish were removed from the dataset, the final number of fish that was monitored totaled 1,878 fish, including 647 steelhead, 770 Chinook salmon, and 461 coho salmon.
Hatchery-origin (HOR) and natural-origin (NOR) steelhead, Chinook salmon, and coho salmon behaved differently following release into Lake Scanewa. Detection records showed that the percentage of HOR fish that moved upstream and entered the Cowlitz River or Cispus River after release was relatively low (steelhead = 38 percent; Chinook salmon = 67 percent; coho salmon = 41 percent) compared to NOR fish (steelhead = 84 percent; Chinook salmon = 82 percent; coho salmon = 76 percent). The elapsed time from release to river entry was significantly lower for NOR fish than for HOR fish for all three species. Tagged fish entered the Cowlitz River in greater proportions than the Cispus River, regardless of origin. We found that 23–47 percent of the HOR fish entered the Cowlitz River and 12–38 percent entered the Cispus River. Similarly, 67–70 percent of the NOR fish entered the Cowlitz River and 38–66 percent entered the Cispus River. These behavioral differences translated into similar differences in fates during the spawning periods as higher percentages of tagged fish were assigned Cowlitz River fates than Cispus River fates.
Fallback rates were affected by fish origin and release site. Overall, 12 percent of steelhead, 19 percent of Chinook salmon, and 8 percent of coho salmon fell back downstream of Cowlitz Falls Dam prior to spawning. Fallback rates were lower for fish that were released in the Cowlitz River or the Cispus River than for reservoir-released fish, but statistical comparisons were not robust because of small sample sizes at the river release sites. Fallback rates for fish released at the river release sites were 10 percent lower for steelhead, 4 percent lower for Chinook salmon, and 9 percent lower for coho salmon than for reservoir-released fish. However, fallback rates also were different between HOR and NOR fish. Fallback rates were significantly higher for HOR reservoir-released fish than for NOR reservoir-released fish.
This study provided data that were insightful for understanding behavior and movement patterns in the upper Cowlitz River Basin and yielded estimates of fallback rates and fish fates that may be useful for fishery managers in the years to come. Studies from other systems have shown that factors such as prespawn mortality and fallback have resulted in substantial losses to spawning populations where trap-and-haul programs are being used as a restoration tool. Future research in the upper Cowlitz River Basin may use additional telemetry studies, genetic analyses, and spawning ground surveys to provide answers for new questions and to continue to monitor the progress of the reintroduction effort.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161144","collaboration":"Prepared in cooperation with the Public Utility District Number 1 of Lewis County, Washington, and the Washington Department of Fish and Wildlife","usgsCitation":"Kock, T.J., Ekstrom, B.K., Liedtke, T.L., Serl, J.D., and Kohn, Mike, 2016, Behavior patterns and fates of adult steelhead, Chinook salmon, and coho salmon released into the upper Cowlitz River Basin, 2005–09 and 2012, Washington: U.S. Geological Survey Open-File Report 2016-1144, 36 p., https://dx.doi.org/10.3133/ofr20161144.","productDescription":"vi, 36 p.","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-077163","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":327910,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1144/ofr20161144.pdf"},{"id":327909,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1144/coverthb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Upper Cowlitz River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.12677001953124,\n 46.41655893628349\n ],\n [\n -122.12677001953124,\n 46.59661864884465\n ],\n [\n -121.69418334960939,\n 46.59661864884465\n ],\n [\n -121.69418334960939,\n 46.41655893628349\n ],\n [\n -122.12677001953124,\n 46.41655893628349\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115
http://wfrc.usgs.gov/
From 2011 to 2013, a large-scale ecotoxicological study was conducted in several Chesapeake Bay (USA) tributaries (Susquehanna River and flats, the Back, Baltimore Harbor/Patapsco Rivers, Anacostia/ middle Potomac, Elizabeth and James Rivers) and Poplar Island as a mid-Bay reference site. Osprey (Pandion haliaetus) diet and the transfer of contaminants from fish to osprey eggs were evaluated. The most bioaccumulative compounds (biomagnification factor > 5) included p,p′-dichlorodiphenyldichloroethylene (DDE), total polychlorinated biphenyls (PCBs), total polybrominated diphenyl ethers (PBDEs), and bromodiphenyl ether (BDE) congeners 47, 99, 100, and 154. This analysis suggested that alternative brominated flame retardants and other compounds (methoxytriclosan) are not appreciably biomagnifying. A multivariate analysis of similarity indicated that major differences in patterns among study sites were driven by PCB congeners 105, 128, 156, 170/190, and 189, and PBDE congeners 99 and 209. An integrative redundancy analysis showed that osprey eggs from Baltimore Harbor/Patapsco River and the Elizabeth River had high residues of PCBs and p,p′-DDE, with PBDEs making a substantial contribution to overall halogenated contamination on the Susquehanna and Anacostia/middle Potomac Rivers. The redundancy analysis also suggested a potential relation between PBDE residues in osprey eggs and oxidative DNA damage in nestling blood samples. The results also indicate that there is no longer a discernible relation between halogenated contaminants in osprey eggs and their reproductive success in Chesapeake Bay. Osprey populations are thriving in much of the Chesapeake, with productivity rates exceeding those required to sustain a stable population.
","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","publisherLocation":"New York, NY","doi":"10.1002/etc.3386","usgsCitation":"Lazarus, R.S., Rattner, B.A., McGowan, P.C., Hale, R.C., Karouna-Reiner, N.K., Erickson, R.A., and Ottinger, M.A., 2016, Chesapeake Bay fish–osprey (Pandion haliaetus) food chain: Evaluation of contaminant exposure and genetic damage: Environmental Toxicology and Chemistry, v. 35, no. 6, p. 1560-1575, https://doi.org/10.1002/etc.3386.","productDescription":"16 p.","startPage":"1560","endPage":"1575","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070809","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":327893,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.794189453125,\n 36.70365959719456\n ],\n [\n -77.794189453125,\n 39.7240885773337\n ],\n [\n -75.0970458984375,\n 39.7240885773337\n ],\n [\n -75.0970458984375,\n 36.70365959719456\n ],\n [\n -77.794189453125,\n 36.70365959719456\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"35","issue":"6","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-28","publicationStatus":"PW","scienceBaseUri":"57c15a21e4b0f2f0ceb8baa1","contributors":{"authors":[{"text":"Lazarus, Rebecca S. 0000-0003-1731-6469 rlazarus@usgs.gov","orcid":"https://orcid.org/0000-0003-1731-6469","contributorId":5594,"corporation":false,"usgs":true,"family":"Lazarus","given":"Rebecca","email":"rlazarus@usgs.gov","middleInitial":"S.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":647152,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rattner, Barnett A. 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":4142,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":647153,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGowan, Peter C.","contributorId":13867,"corporation":false,"usgs":false,"family":"McGowan","given":"Peter","email":"","middleInitial":"C.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":647154,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hale, Robert C.","contributorId":105036,"corporation":false,"usgs":true,"family":"Hale","given":"Robert","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":647155,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Karouna-Reiner, Natalie K.","contributorId":84258,"corporation":false,"usgs":true,"family":"Karouna-Reiner","given":"Natalie","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":647156,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":647157,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ottinger, Mary Ann","contributorId":26422,"corporation":false,"usgs":false,"family":"Ottinger","given":"Mary","email":"","middleInitial":"Ann","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":647158,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70176104,"text":"70176104 - 2016 - Seasonal variation exceeds effects of salmon carcass additions on benthic food webs in the Elwha River","interactions":[],"lastModifiedDate":"2016-08-30T09:48:16","indexId":"70176104","displayToPublicDate":"2016-08-26T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal variation exceeds effects of salmon carcass additions on benthic food webs in the Elwha River","docAbstract":"Dam removal and other fish barrier removal projects in western North America are assumed to boost freshwater productivity via the transport of marine-derived nutrients from recolonizing Pacific salmon (Oncorhynchus spp.). In anticipation of the removal of two hydroelectric dams on the Elwha River in Washington State, we tested this hypothesis with a salmon carcass addition experiment. Our study was designed to examine how background nutrient dynamics and benthic food webs vary seasonally, and how these features respond to salmon subsidies. We conducted our experiment in six side channels of the Elwha River, each with a spatially paired reference and treatment reach. Each reach was sampled on multiple occasions from October 2007 to August 2008, before and after carcass placement. We evaluated nutrient limitation status; measured water chemistry, periphyton, benthic invertebrates, and juvenile rainbow trout (O. mykiss) response; and traced salmon-derived nutrient uptake using stable isotopes. Outside of winter, algal accrual was limited by both nitrogen and phosphorous and remained so even in the presence of salmon carcasses. One month after salmon addition, dissolved inorganic nitrogen levels doubled in treatment reaches. Two months after addition, benthic algal accrual was significantly elevated. We detected no changes in invertebrate or fish metrics, with the exception of 15N enrichment. Natural seasonal variability was greater than salmon effects for the majority of our response metrics. Yet seasonality and synchronicity of nutrient supply and demand are often overlooked in nutrient enhancement studies. Timing and magnitude of salmon-derived nitrogen utilization suggest that uptake of dissolved nutrients was favored over direct consumption of carcasses. The highest proportion of salmon-derived nitrogen was incorporated by herbivores (18–30%) and peaked 1–2 months after carcass addition. Peak nitrogen enrichment in predators (11–16%) occurred 2–3 months after addition. All taxa returned to background δ15N levels by 7 months. Since this study was conducted, both dams on the Elwha River were removed over 2011–2014 to open over 90% of the basin to anadromous fishes. We anticipate that as the full portfolio of salmon species expands through the basin, nutrient supply and demand will come into better balance.
","language":"English","publisher":"Ecological Society of America","publisherLocation":"Washington, D.C.","doi":"10.1002/ecs2.1422","usgsCitation":"Morley, S., Coe, H., Duda, J., Dunphy, L., McHenry, M., Beckman, B., Elofson, M., Sampson, E.M., and Ward, L., 2016, Seasonal variation exceeds effects of salmon carcass additions on benthic food webs in the Elwha River: Ecosphere, v. 7, no. 8, https://doi.org/10.1002/ecs2.1422.","productDescription":"19 p.","startPage":"article e01422","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065535","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":470640,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1422","text":"Publisher Index Page"},{"id":327875,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-18","publicationStatus":"PW","scienceBaseUri":"57c15a21e4b0f2f0ceb8baa3","contributors":{"authors":[{"text":"Morley, S.A.","contributorId":49619,"corporation":false,"usgs":true,"family":"Morley","given":"S.A.","email":"","affiliations":[],"preferred":false,"id":647116,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coe, H.J.","contributorId":174061,"corporation":false,"usgs":false,"family":"Coe","given":"H.J.","email":"","affiliations":[{"id":27351,"text":"Ocean Associates, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":647118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duda, J.J. 0000-0001-7431-8634","orcid":"https://orcid.org/0000-0001-7431-8634","contributorId":105073,"corporation":false,"usgs":true,"family":"Duda","given":"J.J.","affiliations":[],"preferred":false,"id":647115,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunphy, L.S.","contributorId":174060,"corporation":false,"usgs":false,"family":"Dunphy","given":"L.S.","email":"","affiliations":[{"id":27350,"text":"School of Aquatic and Fishery Sciences, UW, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":647117,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McHenry, M.L.","contributorId":29476,"corporation":false,"usgs":true,"family":"McHenry","given":"M.L.","email":"","affiliations":[],"preferred":false,"id":647119,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beckman, B.R.","contributorId":51941,"corporation":false,"usgs":true,"family":"Beckman","given":"B.R.","email":"","affiliations":[],"preferred":false,"id":647120,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Elofson, M.","contributorId":174064,"corporation":false,"usgs":false,"family":"Elofson","given":"M.","affiliations":[{"id":27352,"text":"Natural Resources Dept., Lower Elwha Klallam Tribe, Port Angeles, WA","active":true,"usgs":false}],"preferred":false,"id":647121,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sampson, E. M.","contributorId":174139,"corporation":false,"usgs":false,"family":"Sampson","given":"E.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":647122,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ward, L.","contributorId":30934,"corporation":false,"usgs":true,"family":"Ward","given":"L.","affiliations":[],"preferred":false,"id":647123,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70148098,"text":"70148098 - 2016 - Northwest Boreal Landscape Conservation Cooperative strategic plan 2015 - 2025","interactions":[],"lastModifiedDate":"2025-01-22T15:11:51.092617","indexId":"70148098","displayToPublicDate":"2016-08-26T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Northwest Boreal Landscape Conservation Cooperative strategic plan 2015 - 2025","docAbstract":"The Northwest Boreal Landscape Conservation Cooperative (NWB LCC) is a voluntary, diverse, self-directed management-science partnership, informing and promoting integrated science, sustainable natural and cultural resource management, and conservation to address impacts of climate change and other stressors within and across ecosystems. The NWB LCC area includes parts of Alaska, Yukon, Northwest Territories, and British Columbia. Our partnership reflects both the broad geographic scope and an extensive array of active and engaged participants including resource management organizations, government representatives, policy makers, Tribes and First Nations, industry leaders, researchers, non-governmental organizations, and research/education institutions. Bringing together diverse partners will help assure the northwest boreal is a functioning, sustainable landscape.
We live in an era of profound conservation challenges, including the loss and fragmentation of habitats, genetic isolation, invasive species, and unnatural wildfire. The effects of rapidly changing climate are already evident on the landscape. In these circumstances, it is imperative that natural resource management agencies, science providers, Tribes, First Nations, conservation organizations, and other stakeholders work together to understand the drivers and impacts of landscape change and to determine how best to address those challenges. Further, it is essential that the public and communities receive clear communication about the vision and activities of the NWB LCC. Open public access to NWB LCC activities and products will promote acceptance and support of the science that guides potential changes in management action and conservation strategy.
This strategic plan provides a great opportunity for the NWB LCC to share our approach and intentions to the LCC members, collaborators, communities, and the public at large.
","language":"English","publisher":"Northwest Boreal Landscape Conservation Cooperative","usgsCitation":"Markon, C., and Schroff, E., 2016, Northwest Boreal Landscape Conservation Cooperative strategic plan 2015 - 2025, 17 p.","productDescription":"17 p.","ipdsId":"IP-064531","costCenters":[{"id":113,"text":"Alaska Regional Director's Office","active":true,"usgs":true}],"links":[{"id":342330,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":342329,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.northwestboreal.org/"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -137.548828125,\n 69.3493386397765\n ],\n [\n -143.4375,\n 70.61261423801925\n ],\n [\n -148.359375,\n 71.01695975726373\n ],\n [\n -153.193359375,\n 71.30079291637452\n ],\n [\n -157.1484375,\n 71.38514208411495\n ],\n [\n -159.345703125,\n 71.04552881933586\n ],\n [\n -162.0703125,\n 70.67088107015755\n ],\n [\n -163.4765625,\n 69.68761843185617\n ],\n [\n -166.55273437499997,\n 69.31832006949072\n ],\n [\n -168.046875,\n 68.65655498475735\n ],\n [\n -167.431640625,\n 67.84241647327927\n ],\n [\n -168.134765625,\n 66.44310650816469\n ],\n [\n -168.22265625,\n 64.16810689799152\n ],\n [\n -168.134765625,\n 62.14497603754045\n ],\n [\n -167.783203125,\n 59.62332522313024\n ],\n [\n -169.1015625,\n 55.27911529201561\n ],\n [\n -177.275390625,\n 54.265224078605684\n ],\n [\n -184.74609375,\n 53.904338156274704\n ],\n [\n -187.82226562499997,\n 53.38332836757156\n ],\n [\n -186.591796875,\n 50.792047064406866\n ],\n [\n -177.275390625,\n 49.95121990866204\n ],\n [\n -167.255859375,\n 51.83577752045248\n ],\n [\n -158.90625,\n 54.1109429427243\n ],\n [\n -151.259765625,\n 58.03137242177637\n ],\n [\n -147.83203125,\n 58.768200159239576\n ],\n [\n -142.20703125,\n 58.58543569119917\n ],\n [\n -135.615234375,\n 56.12106042504407\n ],\n [\n -131.220703125,\n 50.45750402042058\n ],\n [\n -125.595703125,\n 47.635783590864854\n ],\n [\n -123.22265625000001,\n 48.69096039092549\n ],\n [\n -122.87109375,\n 49.83798245308484\n ],\n [\n -125.68359374999999,\n 52.3755991766591\n ],\n [\n -128.84765625,\n 55.87531083569679\n ],\n [\n -131.66015625,\n 59.62332522313024\n ],\n [\n -133.41796874999997,\n 60.84491057364912\n ],\n [\n -127.96875,\n 58.26328705248601\n ],\n [\n -125.5078125,\n 57.326521225217064\n ],\n [\n -124.1015625,\n 55.87531083569679\n ],\n [\n -121.9921875,\n 54.97761367069628\n ],\n [\n -119.00390625,\n 54.77534585936447\n ],\n [\n -116.54296874999999,\n 54.57206165565852\n ],\n [\n -113.73046875,\n 55.57834467218206\n ],\n [\n -113.37890625,\n 56.75272287205736\n ],\n [\n -113.37890625,\n 58.53959476664049\n ],\n [\n -113.37890625,\n 59.88893689676585\n ],\n [\n -113.90625,\n 61.689872200460016\n ],\n [\n -118.30078125,\n 63.93737246791484\n ],\n [\n -121.640625,\n 64.32087157990324\n ],\n [\n -125.33203125,\n 64.62387720204688\n ],\n [\n -126.21093749999999,\n 65.58572002329473\n ],\n [\n -124.98046874999999,\n 66.16051056018838\n ],\n [\n -123.92578125,\n 66.93006025862448\n ],\n [\n -123.92578125,\n 67.7427590666639\n ],\n [\n -124.1015625,\n 69.71810669906763\n ],\n [\n -125.5078125,\n 70.49557354093136\n ],\n [\n -127.44140625,\n 70.8446726342528\n ],\n [\n -129.19921875,\n 70.8446726342528\n ],\n [\n -133.41796874999997,\n 70.49557354093136\n ],\n [\n -137.548828125,\n 69.3493386397765\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593ad6e2e4b0764e6c60214f","contributors":{"authors":[{"text":"Markon, Carl markon@usgs.gov","contributorId":140882,"corporation":false,"usgs":true,"family":"Markon","given":"Carl","email":"markon@usgs.gov","affiliations":[{"id":113,"text":"Alaska Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":547384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schroff, Eric","contributorId":192772,"corporation":false,"usgs":false,"family":"Schroff","given":"Eric","email":"","affiliations":[],"preferred":false,"id":697712,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70175507,"text":"ofr20161134 - 2016 - Centimeter-scale surface deformation caused by the 2011 Mineral, Virginia, earthquake sequence at the Carter farm site—Subsidiary structures with a quaternary history","interactions":[],"lastModifiedDate":"2016-09-12T09:58:17","indexId":"ofr20161134","displayToPublicDate":"2016-08-25T08:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1134","title":"Centimeter-scale surface deformation caused by the 2011 Mineral, Virginia, earthquake sequence at the Carter farm site—Subsidiary structures with a quaternary history","docAbstract":"Centimeter-scale ground-surface deformation was produced by the August 23, 2011, magnitude (M) 5.8 earthquake that occurred in Mineral, Virginia. Ground-surface deformation also resulted from the earthquake aftershock sequence. This deformation occurred along a linear northeast-trend near Pendleton, Virginia. It is approximately 10 kilometers (km) northeast of the M5.8 epicenter and near the northeastern periphery of the epicentral area as defined by aftershocks. The ground-surface deformation extends over a distance of approximately 1.4 km and consists of parallel, small-scale (a few centimeters (cm) in amplitude) linear ridges and swales. Individual ridge and swale features are discontinuous and vary in length across a zone that ranges from about 20 meters (m) to less than 5 m in width. At one location, three fence posts and adjoining rails were vertically misaligned. Approximately 5 cm of uplift on one post provides a maximum estimate of vertical change from pre-earthquake conditions along the ridge and swale features. There was no change in the alignment of fence posts, indicating that deformation was entirely vertical. A broad monoclinal flexure with approximately 1 m of relief was identified by transit survey across surface deformation at the Carter farm site. There, surface deformation overlies the Carter farm fault, which is a zone of brittle faulting and fracturing along quartz veins, striking N40°E and dipping approximately 75°SE. Brecciation and shearing along this fault is interpreted as Quaternary in age because it disrupts the modern B-soil horizon. However, deformation is confined to saprolitized schist of the Ordovician Quantico Formation and the lowermost portion of overlying residuum, and is absent in the uppermost residuum and colluvial layer at the ground surface. Because there is a lack of surface shearing and very low relief, landslide processes were not a causative mechanism for the surface deformation. Two possible tectonic models and one non-tectonic model are considered: (1) tectonic, monoclinal flexuring along the Carter farm fault, probably aseismic, (2) tectonic, monoclinal flexuring related to a shallow (1–3 km) cluster of aftershocks (M2 to M3) that occurred approximately 1 to 1.5 km to the east of Carter farm, and (3) non-tectonic, differential response to seismic shaking between more-rigid quartz veins and soft residuum-saprolite under vertical motions that were created by Rayleigh surface waves radiating away from the August 23, 2011, hypocenter and propagating along strike of the Carter farm fault. These processes are not considered mutually exclusive, and all three support brittle deformation on the Carter farm fault during the Quaternary. In addition, abandoned stream valleys and active stream piracy are consistent with long-term uplift in vicinity of the Carter farm fault.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161134","usgsCitation":"Harrison, R.W., Schindler, J.S., Pavich, M.J., Horton, J.W., Jr., and Carter, M.W., 2016, Centimeter-scale surface deformation caused by the 2011 Mineral, Virginia, earthquake sequence at the Carter farm site—Subsidiary structures with a Quaternary history: U.S. Geological Survey Open-File Report 2016–1134, 18 p., https://dx.doi.org/10.3133/ofr20161134.","productDescription":"iv, 18 p.","onlineOnly":"Y","ipdsId":"IP-055730","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":327108,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1134/coverthb1.jpg"},{"id":327109,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1134/ofr20161134.pdf","text":"Report","size":"31.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1134"}],"country":"United States","state":"Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.970278,\n 38.008333\n ],\n [\n -77.970278,\n 37.941667\n ],\n [\n -77.814444,\n 37.941667\n ],\n [\n -77.814444,\n 38.008333\n ],\n [\n -77.970278,\n 38.008333\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Eastern Geology and Paleoclimate Science Center
U.S. Geological Survey
926A National Center
12201 Sunrise Valley Drive
Reston, VA 20192
http://geology.er.usgs.gov/egpsc/
The U.S. Geological Survey, in cooperation with the Fargo Diversion Board of Authority, collected water-surface elevations during a range of discharges needed for calibration of hydrologic and hydraulic models for specific reaches of interest in water years 2014–15. These water-surface elevation and discharge measurement data were collected for design planning of diversion structures on the Red River of the North and Wild Rice River and the aqueduct/diversion structures on the Sheyenne and Maple Rivers. The Red River of the North and Sheyenne River reaches were surveyed six times, and discharges ranged from 276 to 6,540 cubic feet per second and from 166 to 2,040 cubic feet per second, respectively. The Wild Rice River reach also was surveyed six times during 2014 and 2015, and discharges ranged from 13 to 1,550 cubic feet per second. The Maple River reach was surveyed four times, and discharges ranged from 16.4 to 633 cubic feet per second. Water-surface elevation differences from upstream to downstream in the reaches ranged from 0.33 feet in the Red River of the North reach to 9.4 feet in the Maple River reach.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161139","collaboration":"Prepared in cooperation with the Fargo Diversion Board of Authority","usgsCitation":"Damschen, W.C., and Galloway, J.M., 2016, Water-surface elevation and discharge measurement data for the Red River of the North and its tributaries near Fargo, North Dakota, water years 2014–15: U.S. Geological Survey Open-File Report 2016–1139, 16 p., https://dx.doi.org/10.3133/ofr20161139.","productDescription":"iv, 16 p.","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-074364","costCenters":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":327822,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1139/coverthb.jpg"},{"id":327823,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1139/ofr20161139.pdf","text":"Report","size":"1.74 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1139"}],"country":"United States","state":"North Dakota","city":"Fargo","otherGeospatial":"Maple River, Red River of the North, Sheyenne River, Wild Rice River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97,\n 46.6667\n ],\n [\n -97,\n 47.10378387099161\n ],\n [\n -96.6667,\n 47.10378387099161\n ],\n [\n -96.6667,\n 46.6667\n ],\n [\n -97,\n 46.6667\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, North Dakota Water Science Center
U.S. Geological Survey
821 E Interstate Ave
Bismarck, ND 58503
Large floodplain rivers have internal structures shaped by directions and rates of water movement. In a previous study, we showed that spatial variation in local current velocities and degrees of hydrological exchange creates a patch-work mosaic of nitrogen and phosphorus concentrations and ratios in the Upper Mississippi River. Here, we used long-term fish and limnological data sets to test the hypothesis that fish communities differ between the previously identified patches defined by high or low nitrogen to phosphorus ratios (TN:TP) and to determine the extent to which select limnological covariates might explain those differences. Species considered as habitat generalists were common in both patch types but were at least 2 times as abundant in low TN:TP patches. Dominance by these species resulted in lower diversity in low TN:TP patches, whereas an increased relative abundance of a number of rheophilic (flow-dependent) species resulted in higher diversity and a more even species distribution in high TN:TP patches. Of the limnological variables considered, the strongest predictor of fish species assemblage and diversity was water flow velocity, indicating that spatial patterns in water-mediated connectivity may act as the main driver of both local nutrient concentrations and fish community composition in these reaches. The coupling among hydrology, biogeochemistry, and biodiversity in these river reaches suggests that landscape-scale restoration projects that manipulate hydrogeomorphic patterns may also modify the spatial mosaic of nutrients and fish communities. Published 2016. This article is a U.S. Government work and is in the public domain in the USA.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.3026","usgsCitation":"De Jager, N.R., and Houser, J.N., 2016, Patchiness in a large floodplain river: Associations among hydrology, nutrients, and fish communities: River Research and Applications, v. 32, no. 9, p. 1915-1926, https://doi.org/10.1002/rra.3026.","productDescription":"12 p.","startPage":"1915","endPage":"1926","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062928","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":327828,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"9","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-31","publicationStatus":"PW","scienceBaseUri":"57c6a086e4b0f2f0cebdb037","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":647011,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Houser, Jeffrey N. 0000-0003-3295-3132 jhouser@usgs.gov","orcid":"https://orcid.org/0000-0003-3295-3132","contributorId":2769,"corporation":false,"usgs":true,"family":"Houser","given":"Jeffrey","email":"jhouser@usgs.gov","middleInitial":"N.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":647012,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70176067,"text":"70176067 - 2016 - Reservoirs and water management influence fish mercury concentrations in the western United States and Canada","interactions":[],"lastModifiedDate":"2018-08-07T12:25:42","indexId":"70176067","displayToPublicDate":"2016-08-24T16:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Reservoirs and water management influence fish mercury concentrations in the western United States and Canada","docAbstract":"Anthropogenic manipulation of aquatic habitats can profoundly alter mercury (Hg) cycling and bioaccumulation. The impoundment of fluvial systems is among the most common habitat manipulations and is known to increase fish Hg concentrations immediately following impoundment. However, it is not well understood how Hg concentrations differ between reservoirs and lakes at large spatial and temporal scales or how reservoir management influences fish Hg concentrations. This study evaluated total Hg (THg) concentrations in 64,386 fish from 883 reservoirs and 1387 lakes, across the western United States and Canada, to assess differences between reservoirs and lakes, as well as the influence of reservoir management on fish THg concentrations. Fish THg concentrations were 1.4-fold higher in reservoirs (0.13 ± 0.011 μg/g wet weight ± standard error) than lakes (0.09 ± 0.006), though this difference varied among ecoregions. Fish THg concentrations were 1.5- to 2.6-fold higher in reservoirs than lakes of the North American Deserts, Northern Forests, and Mediterranean California ecoregions, but did not differ between reservoirs and lakes in four other ecoregions. Fish THg concentrations peaked in three-year-old reservoirs then rapidly declined in 4–12 year old reservoirs. Water management was particularly important in influencing fish THg concentrations, which were up to 11-times higher in reservoirs with minimum water storage occurring in May, June, or July compared to reservoirs with minimum storage occurring in other months. Between-year changes in maximum water storage strongly influenced fish THg concentrations, but within-year fluctuations in water levels did not influence fish THg concentrations. Specifically, fish THg concentrations increased up to 3.2-fold over the range of between-year changes in maximum water storage in all ecoregions except Mediterranean California. These data highlight the role of reservoir creation and management in influencing fish THg concentrations and suggest that water management may provide an effective means of mitigating Hg bioaccumulation in some reservoirs.
","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.scitotenv.2016.03.050","usgsCitation":"Willacker, J.J., Eagles-Smith, C.A., Lutz, M.A., Tate, M., Lepak, J.M., and Ackerman, J., 2016, Reservoirs and water management influence fish mercury concentrations in the western United States and Canada: Science of the Total Environment, v. 568, p. 739-748, https://doi.org/10.1016/j.scitotenv.2016.03.050.","productDescription":"10 p.","startPage":"739","endPage":"748","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070755","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":470641,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2016.03.050","text":"Publisher Index Page"},{"id":327818,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","volume":"568","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c6a089e4b0f2f0cebdb047","chorus":{"doi":"10.1016/j.scitotenv.2016.03.050","url":"http://dx.doi.org/10.1016/j.scitotenv.2016.03.050","publisher":"Elsevier BV","authors":"Willacker James J., Eagles-Smith Collin A., Lutz Michelle A., Tate Michael T., Lepak Jesse M., Ackerman Joshua T.","journalName":"Science of The Total Environment","publicationDate":"10/2016"},"contributors":{"authors":[{"text":"Willacker, James J. jwillacker@usgs.gov","contributorId":5614,"corporation":false,"usgs":true,"family":"Willacker","given":"James","email":"jwillacker@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":646984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":646983,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lutz, Michelle A. malutz@usgs.gov","contributorId":131020,"corporation":false,"usgs":true,"family":"Lutz","given":"Michelle","email":"malutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":646985,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tate, Michael T. 0000-0003-1525-1219 mttate@usgs.gov","orcid":"https://orcid.org/0000-0003-1525-1219","contributorId":3144,"corporation":false,"usgs":true,"family":"Tate","given":"Michael T.","email":"mttate@usgs.gov","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":646986,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lepak, Jesse M.","contributorId":172156,"corporation":false,"usgs":false,"family":"Lepak","given":"Jesse","email":"","middleInitial":"M.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":646988,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":646987,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70176069,"text":"70176069 - 2016 - Decomposition drives convergence of forest litter nutrient stoichiometry following phosphorus addition","interactions":[],"lastModifiedDate":"2020-09-01T19:49:59.264207","indexId":"70176069","displayToPublicDate":"2016-08-24T13:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3089,"text":"Plant and Soil","active":true,"publicationSubtype":{"id":10}},"title":"Decomposition drives convergence of forest litter nutrient stoichiometry following phosphorus addition","docAbstract":"Nutrient levels in decomposing detritus and soil can influence decomposition rates and detrital nutrient dynamics in differing ways among various detrital components of forests. We assessed whether increased phosphorus (P) levels in litter and soil influenced decomposition rates and litter nutrient dynamics of foliage, fine roots, and twigs in nitrogen (N)-rich Douglas-fir (Pseudotsuga menziesii (Mirb.) Franco) forests in the Oregon Coast Range.
\nWe decomposed fresh foliage, fine root, and twig litter from Douglas-fir seedlings at three sites for two years. Half of the seedlings and half of the plots at each of the sites were fertilized with P resulting in a factorial design with the following treatments: control (no P fertilization), plant P (P-fertilized litter), soil P (P-fertilized soil), and plant P × soil P.
\nSoil P fertilization slightly decreased foliage decomposition rates. Fertilization of seedlings increased litter P concentrations by an average of 250 % relative to controls, but did not alter litter decomposition rates. Litter fertilized with P mineralized P rapidly and early in the decomposition process compared to N. Litter P concentrations decreased over the 2 years for all treatments, whereas N concentrations increased. Decomposition rates and loss of N and P were strongly related to initial litter chemistry. Despite different initial litter C:N:P ratios in P fertilized seedlings, ratios of C:N, C:P and N:P converged to similar values across treatments within a given litter type over 2 years.
\nWe conclude that litter P concentrations and to some extent soil P may influence litter nutrient dynamics during decomposition, resulting in a convergence of element ratios that reflect the balance of substrate decomposition and microbial nutrient stoichiometry.
\nAQUI-S 20E® (active ingredient, eugenol; AQUI-S New Zealand Ltd, Lower Hutt, New Zealand) is being pursued for approval as an immediate-release sedative in the United States. A validated method to quantify the primary residue (the marker residue) in fillet tissue from AQUI-S 20E–exposed fish was needed. A method was evaluated for determining concentrations of the AQUI-S 20E marker residue, eugenol, in freshwater fish fillet tissue. Method accuracies from fillet tissue fortified at nominal concentrations of 0.15, 1, and 60 μg/g from six fish species ranged from 88–102%. Within-day and between-day method precisions (% CV) from the fortified tissue were ≤8.4% CV. There were no coextracted compounds from the control fillet tissue of seven fish species that interfered with eugenol analyses. Six compounds used as aquaculture drugs did not interfere with eugenol analyses. The lower limit of quantitation (LLOQ) was 0.012 μg/g. The method was robust, i.e., in most cases, minor changes to the method did not impact method performance. Eugenol was stable in acetonitrile–water (3 + 7, v/v) for at least 14 days, in fillet tissue extracts for 4 days, and in fillet tissue stored at ~ −80°C for at least 84 days.
","language":"English","publisher":"Association of Official Agricultural Chemists (AOAC)","publisherLocation":"Arlington, VA","doi":"10.5740/jaoacint.15-0161","usgsCitation":"Meinertz, J.R., Schreier, T.M., Porcher, S.T., and Smerud, J.R., 2016, Evaluation of a method for quantifying eugenol concentrations in the fillet tissue from freshwater fish species: Journal of AOAC International, v. 99, no. 2, p. 558-564, https://doi.org/10.5740/jaoacint.15-0161.","startPage":"558","endPage":"564","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059729","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":327815,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-27","publicationStatus":"PW","scienceBaseUri":"57c6a035e4b0f2f0cebdafe2","contributors":{"authors":[{"text":"Meinertz, Jeffery R. 0000-0002-8855-2648 jmeinertz@usgs.gov","orcid":"https://orcid.org/0000-0002-8855-2648","contributorId":2495,"corporation":false,"usgs":true,"family":"Meinertz","given":"Jeffery","email":"jmeinertz@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":646989,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schreier, Theresa M. 0000-0001-7722-6292 tschreier@usgs.gov","orcid":"https://orcid.org/0000-0001-7722-6292","contributorId":3344,"corporation":false,"usgs":true,"family":"Schreier","given":"Theresa","email":"tschreier@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":646990,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Porcher, Scott T. sporcher@usgs.gov","contributorId":5030,"corporation":false,"usgs":true,"family":"Porcher","given":"Scott","email":"sporcher@usgs.gov","middleInitial":"T.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":646991,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smerud, Justin R. 0000-0003-4385-7437 jrsmerud@usgs.gov","orcid":"https://orcid.org/0000-0003-4385-7437","contributorId":5031,"corporation":false,"usgs":true,"family":"Smerud","given":"Justin","email":"jrsmerud@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":646992,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70176044,"text":"70176044 - 2016 - Rapid estimation of earthquake magnitude from the arrival time of the peak high-frequency amplitude","interactions":[],"lastModifiedDate":"2021-08-24T15:46:47.977807","indexId":"70176044","displayToPublicDate":"2016-08-24T10:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Rapid estimation of earthquake magnitude from the arrival time of the peak high-frequency amplitude","docAbstract":"We propose a simple approach to measure earthquake magnitude M using the time difference (Top) between the body‐wave onset and the arrival time of the peak high‐frequency amplitude in an accelerogram. Measured in this manner, we find that Mw is proportional to 2logTop for earthquakes 5≤Mw≤7, which is the theoretical proportionality if Top is proportional to source dimension and stress drop is scale invariant. Using high‐frequency (>2 Hz) data, the root mean square (rms) residual between Mw and MTop(M estimated from Top) is approximately 0.5 magnitude units. The rms residuals of the high‐frequency data in passbands between 2 and 16 Hz are uniformly smaller than those obtained from the lower‐frequency data. Top depends weakly on epicentral distance, and this dependence can be ignored for distances <200 km. Retrospective application of this algorithm to the 2011 Tohoku earthquake produces a final magnitude estimate of M 9.0 at 120 s after the origin time. We conclude that Top of high‐frequency (>2 Hz) accelerograms has value in the context of earthquake early warning for extremely large events.
","language":"English","publisher":"Seismological Society of America","publisherLocation":"Stanford, CA","doi":"10.1785/0120150108","usgsCitation":"Noda, S., Yamamoto, S., and Ellsworth, W.L., 2016, Rapid estimation of earthquake magnitude from the arrival time of the peak high-frequency amplitude: Bulletin of the Seismological Society of America, v. 106, no. 1, p. 232-241, https://doi.org/10.1785/0120150108.","productDescription":"10 p.","startPage":"232","endPage":"241","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073190","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":327788,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"106","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-26","publicationStatus":"PW","scienceBaseUri":"57c6a088e4b0f2f0cebdb041","contributors":{"authors":[{"text":"Noda, Shunta snoda@usgs.gov","contributorId":173999,"corporation":false,"usgs":true,"family":"Noda","given":"Shunta","email":"snoda@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":646892,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yamamoto, Shunroku","contributorId":174000,"corporation":false,"usgs":false,"family":"Yamamoto","given":"Shunroku","email":"","affiliations":[{"id":27332,"text":"Railway Technical Research Institute","active":true,"usgs":false}],"preferred":false,"id":646893,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellsworth, William L. ellsworth@usgs.gov","contributorId":787,"corporation":false,"usgs":true,"family":"Ellsworth","given":"William","email":"ellsworth@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":646894,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70176048,"text":"70176048 - 2016 - The Earthquake‐Source Inversion Validation (SIV) Project","interactions":[],"lastModifiedDate":"2016-08-24T11:37:58","indexId":"70176048","displayToPublicDate":"2016-08-24T09:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"The Earthquake‐Source Inversion Validation (SIV) Project","docAbstract":"Finite‐fault earthquake source inversions infer the (time‐dependent) displacement on the rupture surface from geophysical data. The resulting earthquake source models document the complexity of the rupture process. However, multiple source models for the same earthquake, obtained by different research teams, often exhibit remarkable dissimilarities. To address the uncertainties in earthquake‐source inversion methods and to understand strengths and weaknesses of the various approaches used, the Source Inversion Validation (SIV) project conducts a set of forward‐modeling exercises and inversion benchmarks. In this article, we describe the SIV strategy, the initial benchmarks, and current SIV results. Furthermore, we apply statistical tools for quantitative waveform comparison and for investigating source‐model (dis)similarities that enable us to rank the solutions, and to identify particularly promising source inversion approaches. All SIV exercises (with related data and descriptions) and statistical comparison tools are available via an online collaboration platform, and we encourage source modelers to use the SIV benchmarks for developing and testing new methods. We envision that the SIV efforts will lead to new developments for tackling the earthquake‐source imaging problem.
\nManaging inland fisheries in the 21st century presents several obstacles, including the need to view fisheries from multiple spatial and temporal scales, which usually involves populations and resources spanning sociopolitical boundaries. Though collaboration is not new to fisheries science, inland aquatic systems have historically been managed at local scales and present different challenges than in marine or large freshwater systems like the Laurentian Great Lakes. Therefore, we outline a flexible strategy that highlights organization, cooperation, analytics, and implementation as building blocks toward effectively addressing transboundary fisheries issues. Additionally, we discuss the use of Bayesian hierarchical models (within the analytical stage), due to their flexibility in dealing with the variability present in data from multiple scales. With growing recognition of both ecological drivers that span spatial and temporal scales and the subsequent need for collaboration to effectively manage heterogeneous resources, we expect implementation of transboundary approaches to become increasingly critical for effective inland fisheries management.
","language":"English, Spanish","publisher":"Taylor & Francis","doi":"10.1080/03632415.2016.1208090","usgsCitation":"Midway, S.R., Wagner, T., Zydlewski, J.D., Irwin, B.J., and Paukert, C.P., 2016, Transboundary fisheries science: Meeting the challenges of inland fisheries management in the 21st century: Fisheries, v. 41, no. 9, p. 536-546, https://doi.org/10.1080/03632415.2016.1208090.","productDescription":"11 p.","startPage":"536","endPage":"546","ipdsId":"IP-067099","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":336732,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-24","publicationStatus":"PW","scienceBaseUri":"58b7eba7e4b01ccd5500bb11","contributors":{"authors":[{"text":"Midway, Stephen R.","contributorId":172159,"corporation":false,"usgs":false,"family":"Midway","given":"Stephen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":680395,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":673751,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":680396,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Irwin, Brian J. 0000-0002-0666-2641 bjirwin@usgs.gov","orcid":"https://orcid.org/0000-0002-0666-2641","contributorId":4037,"corporation":false,"usgs":true,"family":"Irwin","given":"Brian","email":"bjirwin@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":680397,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":879,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":680398,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70182790,"text":"70182790 - 2016 - StreamThermal: A software package for calculating thermal metrics from stream temperature data","interactions":[],"lastModifiedDate":"2018-02-28T14:34:01","indexId":"70182790","displayToPublicDate":"2016-08-24T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"StreamThermal: A software package for calculating thermal metrics from stream temperature data","docAbstract":"Improving quality and better availability of continuous stream temperature data allows natural resource managers, particularly in fisheries, to understand associations between different characteristics of stream thermal regimes and stream fishes. However, there is no convenient tool to efficiently characterize multiple metrics reflecting stream thermal regimes with the increasing amount of data. This article describes a software program packaged as a library in R to facilitate this process. With this freely-available package, users will be able to quickly summarize metrics that describe five categories of stream thermal regimes: magnitude, variability, frequency, timing, and rate of change. The installation and usage instruction of this package, the definition of calculated thermal metrics, as well as the output format from the package are described, along with an application showing the utility for multiple metrics. We believe this package can be widely utilized by interested stakeholders and greatly assist more studies in fisheries.","language":"English, French, Spanish","publisher":"Taylor & Francis","doi":"10.1080/03632415.2016.1210517","collaboration":"Yin-Phan Tsang; Dana Infante (Michigan State University)\nLizhu Wang (International Joint Commission)\nDarren Thornbrugh (US EPA)","usgsCitation":"Tsang, Y., Infante, D.M., Stewart, J.S., Wang, L., Tingly, R., Thornbrugh, D., Cooper, A., and Wesley, D., 2016, StreamThermal: A software package for calculating thermal metrics from stream temperature data: Fisheries, v. 41, no. 9, p. 548-554, https://doi.org/10.1080/03632415.2016.1210517.","productDescription":"7 p.","startPage":"548","endPage":"554","ipdsId":"IP-064619","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":336746,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"9","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-24","publicationStatus":"PW","scienceBaseUri":"58b7eba7e4b01ccd5500bb0f","contributors":{"authors":[{"text":"Tsang, Yin-Phan","contributorId":177342,"corporation":false,"usgs":false,"family":"Tsang","given":"Yin-Phan","email":"","affiliations":[],"preferred":false,"id":673753,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Infante, Dana M. 0000-0003-1385-1587","orcid":"https://orcid.org/0000-0003-1385-1587","contributorId":150821,"corporation":false,"usgs":false,"family":"Infante","given":"Dana","email":"","middleInitial":"M.","affiliations":[{"id":18112,"text":"Dept. of Fisheries and Wildlife,","active":true,"usgs":false}],"preferred":false,"id":673754,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stewart, Jana S. 0000-0002-8121-1373 jsstewar@usgs.gov","orcid":"https://orcid.org/0000-0002-8121-1373","contributorId":539,"corporation":false,"usgs":true,"family":"Stewart","given":"Jana","email":"jsstewar@usgs.gov","middleInitial":"S.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":673752,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Lizhu","contributorId":184191,"corporation":false,"usgs":false,"family":"Wang","given":"Lizhu","email":"","affiliations":[{"id":6983,"text":"Michigan DNR","active":true,"usgs":false}],"preferred":false,"id":673755,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tingly, Ralph","contributorId":184192,"corporation":false,"usgs":false,"family":"Tingly","given":"Ralph","email":"","affiliations":[],"preferred":false,"id":673756,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thornbrugh, Darren","contributorId":184193,"corporation":false,"usgs":false,"family":"Thornbrugh","given":"Darren","email":"","affiliations":[],"preferred":false,"id":673757,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cooper, Arthur","contributorId":184194,"corporation":false,"usgs":false,"family":"Cooper","given":"Arthur","affiliations":[],"preferred":false,"id":673758,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wesley, Daniel","contributorId":184195,"corporation":false,"usgs":false,"family":"Wesley","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":673759,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70189894,"text":"70189894 - 2016 - NHDPlusHR: A national geospatial framework for surface-water information","interactions":[],"lastModifiedDate":"2017-08-06T16:51:06","indexId":"70189894","displayToPublicDate":"2016-08-24T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2126,"text":"JAWRA","active":true,"publicationSubtype":{"id":10}},"title":"NHDPlusHR: A national geospatial framework for surface-water information","docAbstract":"The U.S. Geological Survey is developing a new geospatial hydrographic framework for the United States, called the National Hydrography Dataset Plus High Resolution (NHDPlusHR), that integrates a diversity of the best-available information, robustly supports ongoing dataset improvements, enables hydrographic generalization to derive alternate representations of the network while maintaining feature identity, and supports modern scientific computing and Internet accessibility needs. This framework is based on the High Resolution National Hydrography Dataset, the Watershed Boundaries Dataset, and elevation from the 3-D Elevation Program, and will provide an authoritative, high precision, and attribute-rich geospatial framework for surface-water information for the United States. Using this common geospatial framework will provide a consistent basis for indexing water information in the United States, eliminate redundancy, and harmonize access to, and exchange of water information.
","language":"English","publisher":"American Water Resources Association","doi":"10.1111/1752-1688.12429","usgsCitation":"Viger, R.J., Rea, A.H., Simley, J.D., and Hanson, K.M., 2016, NHDPlusHR: A national geospatial framework for surface-water information: JAWRA, v. 52, no. 4, p. 901-905, https://doi.org/10.1111/1752-1688.12429.","productDescription":"5 p.","startPage":"901","endPage":"905","ipdsId":"IP-074030","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344609,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-20","publicationStatus":"PW","scienceBaseUri":"59882a95e4b05ba66e9ffdda","contributors":{"authors":[{"text":"Viger, Roland J. 0000-0003-2520-714X rviger@usgs.gov","orcid":"https://orcid.org/0000-0003-2520-714X","contributorId":168799,"corporation":false,"usgs":true,"family":"Viger","given":"Roland","email":"rviger@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":706641,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rea, Alan H. ahrea@usgs.gov","contributorId":1813,"corporation":false,"usgs":true,"family":"Rea","given":"Alan","email":"ahrea@usgs.gov","middleInitial":"H.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":706642,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simley, Jeffrey D. jdsimley@usgs.gov","contributorId":4582,"corporation":false,"usgs":true,"family":"Simley","given":"Jeffrey","email":"jdsimley@usgs.gov","middleInitial":"D.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":706643,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hanson, Karen M. khanson@usgs.gov","contributorId":936,"corporation":false,"usgs":true,"family":"Hanson","given":"Karen","email":"khanson@usgs.gov","middleInitial":"M.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":706644,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70174961,"text":"fs20163054 - 2016 - Landsat brings understanding to the impact of industrialization","interactions":[],"lastModifiedDate":"2019-09-20T11:01:34","indexId":"fs20163054","displayToPublicDate":"2016-08-24T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-3054","displayTitle":"Landsat Brings Understanding to the Impact of Industrialization","title":"Landsat brings understanding to the impact of industrialization","docAbstract":"In his 1963 book, “The Quiet Crisis,” former Interior Secretary Stewart Udall lamented what he called the decline of natural resources in the United States under the advancements of industrialization and urbanization.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163054","collaboration":"Prepared in cooperation with the National Aeronautics and Space Administration","usgsCitation":"U.S. Geological Survey, 2016, Landsat brings understanding to the impact of industrialization (ver. 1.1, September 2019): U.S. Geological Survey Fact Sheet 2016–3054, 2 p., https://doi.org/10.3133/fs20163054.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","ipdsId":"IP-076987","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":327524,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3054/coverthb2.jpg"},{"id":367510,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3054/fs20163054_2.pdf","text":"Report","size":"885 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016–3054"},{"id":367511,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2016/3054/versionHist.txt","description":"Version History"}],"edition":"Version 1.0: August 24, 2016; Version 1.1 September 18, 2019","contact":"Director, Earth Resources Observation and Science (EROS) Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198
Government organizations that manage and mitigate the continued growth of cities are looking increasingly to the sky for assistance.
Director, Earth Resources Observation and Science (EROS) Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198
One of the cruelest, most complex narratives in the world today (2019) is written in the hunger of sub-Saharan Africa. When famine is the only yield from the scorched Earth, survival often depends on a heart-rending calculation—how far is the distant feeding center and how close is the nearest well?
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163060","collaboration":"Prepared in cooperation with the National Aeronautics and Space Administration","usgsCitation":"U.S. Geological Survey, 2016, Landsat helps bolster food security (ver. 1.1, September 2019): U.S. Geological Survey Fact Sheet 2016–3060, 2 p., https://doi.org/10.3133/fs20163060.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","ipdsId":"IP-077595","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":367517,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3060/fs20163060_2.pdf","text":"Report","size":"718 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016–3060"},{"id":367518,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2016/3060/versionHist.txt","text":"Version History","description":"Version History"},{"id":327590,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3060/coverthb2.jpg"}],"edition":"Version 1.0: August 24, 2016; Version 1.1 September 18, 2019","contact":"Director, Earth Resources Observation and Science (EROS) Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198
The United Nations’ Department of Economic and Social Affairs predicts 9.7 billion people will sit down every day to the global dinner table by 2050. If this prediction is correct, the world is going to need more crops, more livestock, and more efficient and sustainable agricultural practices.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163059","collaboration":"Prepared in cooperation with the National Aeronautics and Space Administration","usgsCitation":"U.S. Geological Survey, 2016, Landsat plays a key role in reducing hunger on Earth (ver. 1.1, September 2019): U.S. Geological Survey Fact Sheet 2016–3059, 2 p., https://doi.org/10.3133/fs20163059.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","ipdsId":"IP-077596","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":327580,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3059/coverthb2.jpg"},{"id":367514,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3059/fs20163059_2.pdf","text":"Report","size":"654 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016–3059"},{"id":367515,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2016/3059/versionHist.txt","text":"Version History","size":"1.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"Version History"}],"edition":"Version 1.0: August 24, 2016; Version 1.1 September 18, 2019","contact":"Director, Earth Resources Observation and Science (EROS) Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198
The U.S. Geological Survey conducted a sedimentation survey of Lago Lucchetti, Yauco, Puerto Rico, in 2013–14 in cooperation with the Puerto Rico Aqueduct and Sewer Authority. The survey updated a previous survey, conducted in 2000, and provided accurate information regarding reservoir storage capacity and sedimentation rate using bathymetric techniques and a global positioning system coupled with a depth sounder device. The results of the 2013–14 survey indicated a total storage capacity for Lago Lucchetti of 10.21 million cubic meters and a long-term sedimentation rate loss of 0.16 million cubic meters per year based on the original capacity in 1952. Sediment accumulation was about 10.14 million cubic meters over the life of the reservoir, which represents a storage decrease of about 50 percent of the original capacity in 1952. On the basis of a comparison between the 2013–14 and 2000 surveys, the useful life for Lago Lucchetti is projected to end in 2076.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3364","collaboration":"Prepared in cooperation with the Puerto Rico Aqueduct and Sewer Authority","usgsCitation":"Gómez-Fragoso, Julieta, 2016, Sedimentation survey of Lago Lucchetti, Yauco, Puerto Rico, September 2013–May 2014: U.S. Geological Survey Scientific Investigations Map 3364, 1 sheet, https://dx.doi.org/10.3133/sim3364.","productDescription":"Report: 29 x 32 inches; Data release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-069514","costCenters":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"links":[{"id":438559,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7V122WZ","text":"USGS data release","linkHelpText":"Spatial Data for the Sedimentation Survey of Lago Lucchetti, Yauco, Puerto Rico, September 2013-May 2014"},{"id":327268,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7V122WZ","text":"USGS data release","description":"USGS data release","linkHelpText":"Spatial data for the sedimentation survey of Lago Lucchetti, Yauco, Puerto Rico, September 2013–May 2014"},{"id":327264,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3364/coverthb.jpg"},{"id":327265,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3364/sim3364.pdf","text":"Report","size":"2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3364"}],"country":"Puerto Rico","city":"Yauco","otherGeospatial":"Lago Lucchetti","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -66.86957359313965,\n 18.104413341539487\n ],\n [\n -66.86983108520508,\n 18.103679107712548\n ],\n [\n -66.87051773071289,\n 18.10306724384034\n ],\n [\n 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U.S. Geological Survey
4446 Pet Lane, Suite 108
Lutz, FL 33559
https://www.usgs.gov/water/caribbeanflorida/
A groundwater/surface-water model was constructed and calibrated for the Black Earth Creek watershed in south-central Wisconsin. The model was then run to simulate scenarios representing common societal concerns in the basin, focusing on maintaining a cold-water resource in an urbanizing fringe near its upper stream reaches and minimizing downstream flooding. Although groundwater and surface water are considered a single resource, many hydrologic models simplistically simulate feedback loops between the groundwater system and other hydrologic processes. These feedbacks include timing and rates of evapotranspiration, surface runoff, soil-zone flow, and interactions with the groundwater system; however, computer models can now routinely and iteratively couple the surface-water and groundwater systems—albeit with longer model run times. In this study, preliminary calibrations of uncoupled transient surface-water and steady-state groundwater models were used to form the starting point for final calibration of one transient computer simulation that iteratively couples groundwater and surface water. The computer code GSFLOW (Groundwater/Surface-water FLOW) was used to simulate the coupled hydrologic system; a surface-water model represented hydrologic processes in the atmosphere, at land surface, and within the soil zone, and a groundwater-flow model represented the unsaturated zone, saturated zone, and streams. The coupled GSFLOW model was run on a daily time step during water years 1985–2007. Early simulation times (1985–2000) were used for spin-up to make the simulation results less sensitive to initial conditions specified; the spin-up period was not included in the model calibration. Model calibration used observed heads, streamflows, solar radiation, and snowpack measurements from 2000 to 2007 for history matching. Calibration was performed by using the PEST parameter estimation software suite.
\nSimulated streamflows from the calibrated GSFLOW model and other basin characteristics were used as input to the one-dimensional SNTEMP (Stream-Network TEMPerature) model. SNTEMP was used to simulate daily stream temperature in selected stream reaches in the watershed. The temperature model was calibrated to high-resolution stream temperature time-series data measured in 2005. The calibrated GSFLOW and SNTEMP models were then used to simulate effects of potential climate change for the years 2010 through 2100. An ensemble of climate models and emission scenarios was evaluated. Downscaled climate drivers for the simulation period showed increases in maximum and minimum air temperature. Scenarios of future precipitation, however, did not show a monotonic trend like temperature. Uncertainty in the climate drivers increased with time for both temperature and precipitation.
\nForecasts of potential climate change scenarios showed growing season length increasing by weeks, and both potential and actual evapotranspiration rates increasing appreciably, in response to increasing air temperature. Simulated actual evapotranspiration rates increased less than simulated potential evapotranspiration rates as a result of water limitation in the root zone during the summer high-evapotranspiration period. The hydrologic-system response to climate change was characterized by a reduction in the importance of the snowmelt pulse and an increase in the importance of fall and winter groundwater recharge. The less dynamic hydrologic regime is likely to result in drier soil conditions, with relatively less drying expected in groundwater-fed systems. Groundwater discharge in the current upper cold-water reaches of Black Earth Creek is expected to decrease; flooding in downstream reaches may appreciably increase. The magnitude of changes in forecasted flow and associated groundwater/surface-water interaction is dependent on the General Circulation Model and emission scenario chosen.
\nPotential future changes in air temperature drivers were consistently upward regardless of General Circulation Model and emission scenario selected; thus, simulated stream temperatures are forecast to increase appreciably with future climate. However, the amount of temperature increase was variable. Such uncertainty is reflected in temperature model results, along with uncertainty in the groundwater/surface-water interaction itself. The estimated increase in annual average temperature ranged from approximately 3 to 6 degrees Celsius by 2100 in the upper reaches of Black Earth Creek and 2 to 4 degrees Celsius in reaches farther downstream. As with all forecasts that rely on projections of an unknowable future, the results are best considered to approximate potential outcomes of climate change given the underlying uncertainty.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165091","collaboration":"Prepared in cooperation with the Wisconsin Department of Natural Resources, Village of Cross Plains, Village of Black Earth, Town of Black Earth, Town of Vermont, Village of Mazomanie, and City of Middleton","usgsCitation":"Hunt, R.J., Westenbroek, S.M., Walker, J.F., Selbig, W.R., Regan, R.S., Leaf, A.T., and Saad, D.A., 2016, Simulation of climate change effects on streamflow, groundwater, and stream temperature using GSFLOW and SNTEMP in the Black Earth Creek Watershed, Wisconsin: U.S. Geological Survey Scientific Investigations Report 2016–5091, 117 p., https://dx.doi.org/10.3133/sir20165091.","productDescription":"Report: x, 49 p.; Appendixes: 1–6","startPage":"1","endPage":"117","numberOfPages":"132","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-072633","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":327327,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5091/coverthb.jpg"},{"id":327328,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5091/sir20165091.pdf","text":"Report","size":"8.79 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016–5091"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Black Earth Creek Watershed","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.73333333333333,43.06666666666667 ], [ -89.73333333333333,43.18333333333333 ], [ -89.55,43.18333333333333 ], [ -89.55,43.06666666666667 ], [ -89.73333333333333,43.06666666666667 ] ] ] } } ] }","contact":"Director, Wisconsin Water Science Center
U.S. Geological Survey
8505 Research Way
Middleton, Wisconsin 53562
Cluster analysis offers an agnostic way to organize and explore features of the current GPS velocity field without reference to geologic information or physical models using information only contained in the velocity field itself. We have used cluster analysis of the Southern California Global Positioning System (GPS) velocity field to determine the partitioning of Pacific-North America relative motion onto major regional faults. Our results indicate the large-scale kinematics of the region is best described with two boundaries of high velocity gradient, one centered on the Coachella section of the San Andreas Fault and the Eastern California Shear Zone and the other defined by the San Jacinto Fault south of Cajon Pass and the San Andreas Fault farther north. The ~120 km long strand of the San Andreas between Cajon Pass and Coachella Valley (often termed the San Bernardino and San Gorgonio sections) is thus currently of secondary importance and carries lesser amounts of slip over most or all of its length. We show these first order results are present in maps of the smoothed GPS velocity field itself. They are also generally consistent with currently available, loosely bounded geologic and geodetic fault slip rate estimates that alone do not provide useful constraints on the large-scale partitioning we show here. Our analysis does not preclude the existence of smaller blocks and more block boundaries in Southern California. However, attempts to identify smaller blocks along and adjacent to the San Gorgonio section were not successful.
","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2015JB012678","usgsCitation":"Thatcher, W.R., Savage, J.C., and Simpson, R.W., 2016, The Eastern California Shear Zone as the northward extension of the southern San Andreas Fault: Journal of Geophysical Research B: Solid Earth, v. 121, no. 4, p. 2904-2914, https://doi.org/10.1002/2015JB012678.","startPage":"2904","endPage":"2914","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066319","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":470643,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015jb012678","text":"Publisher Index Page"},{"id":327784,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Eastern California Shear Zone","volume":"121","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-08","publicationStatus":"PW","scienceBaseUri":"57c6a08fe4b0f2f0cebdb05b","contributors":{"authors":[{"text":"Thatcher, Wayne R. 0000-0001-6324-545X thatcher@usgs.gov","orcid":"https://orcid.org/0000-0001-6324-545X","contributorId":2599,"corporation":false,"usgs":true,"family":"Thatcher","given":"Wayne","email":"thatcher@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":646859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Savage, James C. 0000-0002-5114-7673 jasavage@usgs.gov","orcid":"https://orcid.org/0000-0002-5114-7673","contributorId":2412,"corporation":false,"usgs":true,"family":"Savage","given":"James","email":"jasavage@usgs.gov","middleInitial":"C.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":646860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simpson, Robert W. simpson@usgs.gov","contributorId":1053,"corporation":false,"usgs":true,"family":"Simpson","given":"Robert","email":"simpson@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":646861,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}