The development of appropriate water management strategies requires, in part, a methodology for quantifying and evaluating the impact of water policy decisions on regional stakeholders. In this work, we describe the framework we are developing to enhance the body of resources available to policy makers, farmers, and other community members in their e orts to understand, quantify, and assess the often competing objectives water consumers have with respect to usage. The foundation for the framework is the construction of a simulation-based optimization software tool using two existing software packages. In particular, we couple a robust optimization software suite (DAKOTA) with the USGS MF-OWHM water management simulation tool to provide a flexible software environment that will enable the evaluation of one or multiple (possibly competing) user-defined (or stakeholder) objectives. We introduce the individual software components and outline the communication strategy we defined for the coupled development. We present numerical results for case studies related to crop portfolio management with several defined objectives. The objectives are not optimally satisfied for any single user class, demonstrating the capability of the software tool to aid in the evaluation of a variety of competing interests.
","language":"English","publisher":"AIMS Press","doi":"10.3934/agrfood.2016.2.208","usgsCitation":"Fowler, K.R., Jenkins, E., Parno, M., Chrispell, J., Colon, A.I., and Hanson, R.T., 2016, Development and use of mathematical models and software frameworks for integrated analysis of agricultural systems and associated water use impacts: AIMS Agriculture and Food, v. 1, no. 2, p. 208-226, https://doi.org/10.3934/agrfood.2016.2.208.","productDescription":"19 p.","startPage":"208","endPage":"226","ipdsId":"IP-072839","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":470950,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3934/agrfood.2016.2.208","text":"Publisher Index Page"},{"id":332193,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5853ba42e4b0e2663625f2c0","contributors":{"authors":[{"text":"Fowler, K. R.","contributorId":177462,"corporation":false,"usgs":false,"family":"Fowler","given":"K.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":655890,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenkins, E.W.","contributorId":177463,"corporation":false,"usgs":false,"family":"Jenkins","given":"E.W.","email":"","affiliations":[],"preferred":false,"id":655891,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parno, M.","contributorId":177464,"corporation":false,"usgs":false,"family":"Parno","given":"M.","email":"","affiliations":[],"preferred":false,"id":655892,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chrispell, J.C.","contributorId":177465,"corporation":false,"usgs":false,"family":"Chrispell","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":655893,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Colon, A. I.","contributorId":177466,"corporation":false,"usgs":false,"family":"Colon","given":"A.","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":655894,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hanson, Randall T. 0000-0002-9819-7141 rthanson@usgs.gov","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":801,"corporation":false,"usgs":true,"family":"Hanson","given":"Randall","email":"rthanson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655889,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70178040,"text":"70178040 - 2016 - The relative contribution of climate to changes in lesser prairie-chicken abundance","interactions":[],"lastModifiedDate":"2016-11-01T13:05:22","indexId":"70178040","displayToPublicDate":"2016-06-01T00:00:00","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":"The relative contribution of climate to changes in lesser prairie-chicken abundance","docAbstract":"Managing for species using current weather patterns fails to incorporate the uncertainty associated with future climatic conditions; without incorporating potential changes in climate into conservation strategies, management and conservation efforts may fall short or waste valuable resources. Understanding the effects of climate change on species in the Great Plains of North America is especially important, as this region is projected to experience an increased magnitude of climate change. Of particular ecological and conservation interest is the lesser prairie-chicken (Tympanuchus pallidicinctus), which was listed as “threatened” under the U.S. Endangered Species Act in May 2014. We used Bayesian hierarchical models to quantify the effects of extreme climatic events (extreme values of the Palmer Drought Severity Index [PDSI]) relative to intermediate (changes in El Niño Southern Oscillation) and long-term climate variability (changes in the Pacific Decadal Oscillation) on trends in lesser prairie-chicken abundance from 1981 to 2014. Our results indicate that lesser prairie-chicken abundance on leks responded to environmental conditions of the year previous by positively responding to wet springs (high PDSI) and negatively to years with hot, dry summers (low PDSI), but had little response to variation in the El Niño Southern Oscillation and the Pacific Decadal Oscillation. Additionally, greater variation in abundance on leks was explained by variation in site relative to broad-scale climatic indices. Consequently, lesser prairie-chicken abundance on leks in Kansas is more strongly influenced by extreme drought events during summer than other climatic conditions, which may have negative consequences for the population as drought conditions intensify throughout the Great Plains.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1323","usgsCitation":"Ross, B., Haukos, D.A., Hagen, C.A., and Pitman, J., 2016, The relative contribution of climate to changes in lesser prairie-chicken abundance: Ecosphere, v. 7, no. 6, e01323; 11 p., https://doi.org/10.1002/ecs2.1323.","productDescription":"e01323; 11 p.","ipdsId":"IP-068821","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":470940,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1323","text":"Publisher Index Page"},{"id":330611,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"6","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-17","publicationStatus":"PW","scienceBaseUri":"5819a9c4e4b0bb36a4c91025","contributors":{"authors":[{"text":"Ross, Beth E.","contributorId":56124,"corporation":false,"usgs":true,"family":"Ross","given":"Beth E.","affiliations":[],"preferred":false,"id":652630,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":652585,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hagen, Christian A.","contributorId":107574,"corporation":false,"usgs":true,"family":"Hagen","given":"Christian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":652631,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pitman, James","contributorId":176512,"corporation":false,"usgs":false,"family":"Pitman","given":"James","affiliations":[],"preferred":false,"id":652632,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70178795,"text":"70178795 - 2016 - Scientifically defensible fish conservation and recovery plans: Addressing diffuse threats and developing rigorous adaptive management plans","interactions":[],"lastModifiedDate":"2018-02-28T14:35:20","indexId":"70178795","displayToPublicDate":"2016-06-01T00:00:00","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":"Scientifically defensible fish conservation and recovery plans: Addressing diffuse threats and developing rigorous adaptive management plans","docAbstract":"We discuss the importance of addressing diffuse threats to long-term species and habitat viability in fish conservation and recovery planning. In the Pacific Northwest, USA, salmonid management plans have typically focused on degraded freshwater habitat, dams, fish passage, harvest rates, and hatchery releases. However, such plans inadequately address threats related to human population and economic growth, intra- and interspecific competition, and changes in climate, ocean, and estuarine conditions. Based on reviews conducted on eight conservation and/or recovery plans, we found that though threats resulting from such changes are difficult to model and/or predict, they are especially important for wide-ranging diadromous species. Adaptive management is also a critical but often inadequately constructed component of those plans. Adaptive management should be designed to respond to evolving knowledge about the fish and their supporting ecosystems; if done properly, it should help improve conservation efforts by decreasing uncertainty regarding known and diffuse threats. We conclude with a general call for environmental managers and planners to reinvigorate the adaptive management process in future management plans, including more explicitly identifying critical uncertainties, implementing monitoring programs to reduce those uncertainties, and explicitly stating what management actions will occur when pre-identified trigger points are reached.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/03632415.2016.1175346","usgsCitation":"Maas-Hebner, K.G., Schreck, C.B., Hughes, R.M., Yeakley, A., and Molina, N., 2016, Scientifically defensible fish conservation and recovery plans: Addressing diffuse threats and developing rigorous adaptive management plans: Fisheries, v. 41, no. 6, p. 276-285, https://doi.org/10.1080/03632415.2016.1175346.","productDescription":"10 p.","startPage":"276","endPage":"285","ipdsId":"IP-066130","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470944,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.13016/m2kd1qn14","text":"External Repository"},{"id":331653,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-01","publicationStatus":"PW","scienceBaseUri":"58492df3e4b06d80b7b093aa","contributors":{"authors":[{"text":"Maas-Hebner, Kathleen G.","contributorId":177262,"corporation":false,"usgs":false,"family":"Maas-Hebner","given":"Kathleen","email":"","middleInitial":"G.","affiliations":[{"id":13016,"text":"Department of Fisheries and Wildlife, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":655161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schreck, Carl B. 0000-0001-8347-1139 carl.schreck@usgs.gov","orcid":"https://orcid.org/0000-0001-8347-1139","contributorId":878,"corporation":false,"usgs":true,"family":"Schreck","given":"Carl","email":"carl.schreck@usgs.gov","middleInitial":"B.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":655145,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hughes, Robert M.","contributorId":113579,"corporation":false,"usgs":true,"family":"Hughes","given":"Robert","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":655162,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yeakley, Alan","contributorId":96569,"corporation":false,"usgs":true,"family":"Yeakley","given":"Alan","email":"","affiliations":[],"preferred":false,"id":655163,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Molina, Nancy","contributorId":177263,"corporation":false,"usgs":false,"family":"Molina","given":"Nancy","email":"","affiliations":[],"preferred":false,"id":655164,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70170569,"text":"70170569 - 2016 - One thousand years of fires: Integrating proxy and model data","interactions":[],"lastModifiedDate":"2020-12-17T21:13:58.236532","indexId":"70170569","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5093,"text":"Frontiers of Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"One thousand years of fires: Integrating proxy and model data","docAbstract":"The current fires raging across Indonesia are emitting more carbon than the annual fossil fuel emissions of Germany or Japan, and the fires are still consuming vast tracts of rainforest and peatlands. The National Interagency Fire Center (www.nifc.gov) notes that 2015 is one worst fire years on record in the U.S., where more than 9 million acres burned -- equivalent to the combined size of Massachusetts and New Jersey. The U.S. and Indonesian fires have already displaced tens of thousands of people, and their impacts on ecosystems are still unclear. In the case of Indonesia, the burning peat is destroying much of the existing soil, with unknown implications for the type of vegetation regrowth. Such large fires result from a combination of fire management practices, increasing anthropogenic land use, and a changing climate.
\nThe expected increase in fire activity in the upcoming decades has led to a surge in research trying to understand their causes, the factors that may have influenced similar times of fire activity in the past, and the implications of such fire activity in the future. Multiple types of complementary data provide information on the impacts of current fires and the extent of past fires. The wide array of data encompasses different spatial and temporal resolutions (Figure 1) and includes fire proxy information such as charcoal and tree ring fire scars, observational records, satellite products, modern emissions data, fire models within global land cover and vegetation models, and sociodemographic data for modeling past human land use and ignition frequency. Any single data type is more powerful when combined with another source of information. Merging model and proxy data enables analyses of how fire activity modifies vegetation distribution, air and water quality, and proximity to cities; these analyses in turn support land management decisions relating to conservation and development.
","language":"English","publisher":"University of California","doi":"10.21425/F5FBG29606","usgsCitation":"Kehrwald, N.M., Aleman, J.C., Coughlan, M., Courtney Mustaphi, C.J., Githumbi, E.N., Magi, B.I., Marlon, J.R., and Power, M.J., 2016, One thousand years of fires: Integrating proxy and model data: Frontiers of Biogeography, v. 8, no. 1, e29606; 7 p., https://doi.org/10.21425/F5FBG29606.","productDescription":"e29606; 7 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071529","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":470953,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.21425/f5fbg29606","text":"Publisher Index Page"},{"id":324105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-28","publicationStatus":"PW","scienceBaseUri":"576a6546e4b07657d1a11e4c","contributors":{"authors":[{"text":"Kehrwald, Natalie M. 0000-0002-9160-2239 nkehrwald@usgs.gov","orcid":"https://orcid.org/0000-0002-9160-2239","contributorId":168918,"corporation":false,"usgs":true,"family":"Kehrwald","given":"Natalie","email":"nkehrwald@usgs.gov","middleInitial":"M.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":627693,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aleman, Julie C.","contributorId":168919,"corporation":false,"usgs":false,"family":"Aleman","given":"Julie","email":"","middleInitial":"C.","affiliations":[{"id":25389,"text":"Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA","active":true,"usgs":false}],"preferred":false,"id":627694,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coughlan, Michael","contributorId":168920,"corporation":false,"usgs":false,"family":"Coughlan","given":"Michael","email":"","affiliations":[{"id":25390,"text":"Department of Anthropology, University of Georgia, Athens, Georgia, USA","active":true,"usgs":false}],"preferred":false,"id":627695,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Courtney Mustaphi, Colin J.","contributorId":168921,"corporation":false,"usgs":false,"family":"Courtney Mustaphi","given":"Colin","email":"","middleInitial":"J.","affiliations":[{"id":25391,"text":"York Institute for Tropical Ecosystems, Environment Department, University of York, York, UK","active":true,"usgs":false}],"preferred":false,"id":627696,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Githumbi, Esther N.","contributorId":168922,"corporation":false,"usgs":false,"family":"Githumbi","given":"Esther","email":"","middleInitial":"N.","affiliations":[{"id":25391,"text":"York Institute for Tropical Ecosystems, Environment Department, University of York, York, UK","active":true,"usgs":false}],"preferred":false,"id":627697,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Magi, Brian I.","contributorId":168923,"corporation":false,"usgs":false,"family":"Magi","given":"Brian","email":"","middleInitial":"I.","affiliations":[{"id":25392,"text":"Department of Geography and Earth Science, University of North Carolina at Charlotte, North Carolina, USA","active":true,"usgs":false}],"preferred":false,"id":627698,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Marlon, Jennifer R.","contributorId":23432,"corporation":false,"usgs":true,"family":"Marlon","given":"Jennifer","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":627699,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Power, Mitchell J.","contributorId":79032,"corporation":false,"usgs":true,"family":"Power","given":"Mitchell","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":627700,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70170797,"text":"70170797 - 2016 - Dimmuborgir: a rootless shield complex in northern Iceland","interactions":[],"lastModifiedDate":"2016-06-29T15:15:21","indexId":"70170797","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Dimmuborgir: a rootless shield complex in northern Iceland","docAbstract":"The origin of Dimmuborgir, a shield-like volcanic structure within the Younger Laxá lava flow field near Lake Mývatn, in northern Iceland, has long been questioned. New airborne laser mapping (light detection and ranging (LiDAR)), combined with ground-penetrating radar results and a detailed field study, suggests that Dimmuborgir is a complex of at least two overlapping rootless shields fed by lava erupting from the nearby Lúdentarborgir crater row. This model builds upon previous explanations for the formation of Dimmuborgir and is consistent with observations of rootless shield development at Kīlauea Volcano, Hawaii. The larger rootless shields at Dimmuborgir, 1–1.5 km in diameter, elliptical in plan view, ∼30 m in height, and each with a 500-m-wide summit depression, were capable of storing as much as 2–3 × 106 m3 of lava. They were fed by lava which descended 30–60 m in lava tubes along a distance of 3 km from the crater row. The height difference generated pressure sufficient to build rootless shields at Dimmuborgir in a timescale of weeks. The main summit depressions, inferred to be drained lava ponds, could have emptied via a 30-m-wide × 5-m-deep channel, with estimated effusion rates of 0.7–7 m3 s−1 and minimum flow durations of 5–50 days. We argue that the pillars for which Dimmuborgir is famed are remnants of lava pond rims, at various stages of disintegration that formed during pond drainage.
","language":"English","publisher":"Springer","doi":"10.1007/s00445-016-1032-5","usgsCitation":"Skelton, A., Sturkell, E., Jakobsson, M., Einarsson, D., Tollefsen, E., and Orr, T.R., 2016, Dimmuborgir: a rootless shield complex in northern Iceland: Bulletin of Volcanology, v. 78, no. 40, 14 p., https://doi.org/10.1007/s00445-016-1032-5.","productDescription":"14 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068350","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":324646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"78","issue":"40","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-27","publicationStatus":"PW","scienceBaseUri":"5774e330e4b07dd077c5fc06","contributors":{"authors":[{"text":"Skelton, Alasdair","contributorId":147511,"corporation":false,"usgs":false,"family":"Skelton","given":"Alasdair","email":"","affiliations":[],"preferred":false,"id":628445,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sturkell, Erik","contributorId":169104,"corporation":false,"usgs":false,"family":"Sturkell","given":"Erik","email":"","affiliations":[{"id":25420,"text":"Department of Earth Sciences, Gothenburg University, Sweden","active":true,"usgs":false}],"preferred":false,"id":628446,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jakobsson, Martin","contributorId":166854,"corporation":false,"usgs":false,"family":"Jakobsson","given":"Martin","email":"","affiliations":[{"id":24562,"text":"Stockholm University","active":true,"usgs":false}],"preferred":false,"id":628447,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Einarsson, Draupnir","contributorId":169105,"corporation":false,"usgs":false,"family":"Einarsson","given":"Draupnir","email":"","affiliations":[{"id":25421,"text":"Department of Geological Sciences, Stockholm University, Sweden","active":true,"usgs":false}],"preferred":false,"id":628448,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tollefsen, Elin","contributorId":169106,"corporation":false,"usgs":false,"family":"Tollefsen","given":"Elin","email":"","affiliations":[{"id":25421,"text":"Department of Geological Sciences, Stockholm University, Sweden","active":true,"usgs":false}],"preferred":false,"id":628449,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Orr, Tim R. 0000-0003-1157-7588 torr@usgs.gov","orcid":"https://orcid.org/0000-0003-1157-7588","contributorId":149803,"corporation":false,"usgs":true,"family":"Orr","given":"Tim","email":"torr@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":628444,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70170651,"text":"70170651 - 2016 - Future land-use related water demand in California","interactions":[],"lastModifiedDate":"2016-06-29T15:03:33","indexId":"70170651","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Future land-use related water demand in California","docAbstract":"Water shortages in California are a growing concern amidst ongoing drought, earlier spring snowmelt, projected future climate warming, and currently mandated water use restrictions. Increases in population and land use in coming decades will place additional pressure on already limited available water supplies. We used a state-and-transition simulation model to project future changes in developed (municipal and industrial) and agricultural land use to estimate associated water use demand from 2012 to 2062. Under current efficiency rates, total water use was projected to increase 1.8 billion cubic meters(+4.1%) driven primarily by urbanization and shifts to more water intensive crops. Only if currently mandated 25% reductions in municipal water use are continuously implemented would water demand in 2062 balance to water use levels in 2012. This is the first modeling effort of its kind to examine regional land-use related water demand incorporating historical trends of both developed and agricultural land uses.
","language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/11/5/054018","usgsCitation":"Wilson, T., Sleeter, B.M., and Cameron, D.R., 2016, Future land-use related water demand in California: Environmental Research Letters, v. 11, no. 5, Article 054018; 12 p., https://doi.org/10.1088/1748-9326/11/5/054018.","productDescription":"Article 054018; 12 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066502","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":470948,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/11/5/054018","text":"Publisher Index Page"},{"id":324643,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.92626953124999,\n 40.79717741518769\n ],\n [\n -120.62988281249999,\n 38.47939467327645\n ],\n [\n -118.38867187500001,\n 36.03133177633187\n ],\n [\n -115.55419921875,\n 32.657875736955305\n ],\n [\n -117.158203125,\n 32.52828936482526\n ],\n [\n -120.76171875,\n 34.45221847282654\n ],\n [\n -122.32177734375,\n 36.77409249464195\n ],\n [\n -123.92578125,\n 38.95940879245423\n ],\n [\n -123.46435546875,\n 39.67337039176558\n ],\n [\n -122.76123046875,\n 40.44694705960048\n ],\n [\n -121.92626953124999,\n 40.79717741518769\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-17","publicationStatus":"PW","scienceBaseUri":"5774e339e4b07dd077c5fc36","contributors":{"authors":[{"text":"Wilson, Tamara 0000-0001-7399-7532 tswilson@usgs.gov","orcid":"https://orcid.org/0000-0001-7399-7532","contributorId":2975,"corporation":false,"usgs":true,"family":"Wilson","given":"Tamara","email":"tswilson@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":627978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sleeter, Benjamin M. 0000-0003-2371-9571 bsleeter@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-9571","contributorId":3479,"corporation":false,"usgs":true,"family":"Sleeter","given":"Benjamin","email":"bsleeter@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":627979,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cameron, D. Richard","contributorId":168996,"corporation":false,"usgs":false,"family":"Cameron","given":"D.","email":"","middleInitial":"Richard","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":627980,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70170842,"text":"70170842 - 2016 - MODIS derived vegetation index for drought detection on the San Carlos Apache Reservation","interactions":[],"lastModifiedDate":"2016-06-20T10:40:41","indexId":"70170842","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5064,"text":"International Journal of Advanced Remote Sensing and GIS","active":true,"publicationSubtype":{"id":10}},"title":"MODIS derived vegetation index for drought detection on the San Carlos Apache Reservation","docAbstract":"A variety of vegetation indices derived from remotely sensed data have been used to assess vegetation conditions, enabling the identification of drought occurrences as well as the evaluation of drought impacts. Moderate Resolution Imaging Spectroradiometer (MODIS) Terra 8-day composite data were used to compute the Modified Soil Adjusted Vegetation Index II (MSAVI2) of four dominant vegetation types over a 13-year period (2002 – 2014) on the San Carlos Apache Reservation in Arizona, US. MSAVI2 anomalies were used to identify adverse impacts of drought on vegetation, characterized as mean MSAVI2 below the 13-year average. In terms of interannual variability, we found similar responses between grassland and shrubland, and between woodland and forest vegetation types. We compared MSAVI2 for specific vegetation types with precipitation data at the same time step, and found a lag time of roughly two months for the peak MSAVI2 values following precipitation in a given year. All vegetation types responded to summer monsoon rainfall, while shrubland and annual herbaceous vegetation also displayed a brief spring growing season following winter snowmelt. MSAVI2 values of shrublands corresponded well with precipitation variability both for summer rainfall and winter snowfall, and can be potentially used as a drought indicator on the San Carlos Apache Reservation given its wide geographic distribution. We demonstrated that moderate temporal frequency satellite-based MSAVI2 can provide drought monitoring to inform land management decisions, especially on vegetated tribal land areas where in situ precipitation data are limited.
\n\n
Stratigraphic, sedimentologic (including CT 3D X-ray tomography scans), foraminiferal, and radiocarbon analyses show that at least six of seven abrupt peat-to-mud contacts in cores from a tidal marsh at Talbot Creek (South Slough, Coos Bay), record sudden subsidence (relative sea-level rise) during great megathrust earthquakes at the Cascadia subduction zone. Data for one contact are insufficient to infer whether or not it records a great earthquake—it may also have formed through local, non-seismic, hydrographic processes. To estimate the amount of subsidence marked by each contact, we expanded a previous regional modern foraminiferal dataset to 174 samples from six Oregon estuaries. Using a transfer function derived from the new dataset, estimates of coseismic subsidence across the six earthquake contacts vary from 0.31 m to 0.75 m. Comparison of subsidence estimates for three contacts in adjacent cores shows within-site differences of ≤0.10 m, about half the ±0.22 m error, although some estimates may be minimums due to uncertain ecological preferences for Balticammina pseudomacrescens in brackish environments and almost monospecific assemblages of Miliammina fusca on tidal flats. We also account for the influence of taphonomic processes, such as infiltration of mud with mixed foraminiferal assemblages into peat, on subsidence estimates. Comparisons of our subsidence estimates with values for correlative contacts at other Oregon sites suggest that some of our estimates are minimums and that Cascadia's megathrust earthquake ruptures have been heterogeneous over the past 3500 years.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2016.04.017","usgsCitation":"Milker, Y., Nelson, A.R., Horton, B.P., Engelhart, S.E., Bradley, L., and Witter, R., 2016, Differences in coastal subsidence in southern Oregon (USA) during at least six prehistoric megathrust earthquakes: Quaternary Science Reviews, v. 142, p. 143-163, https://doi.org/10.1016/j.quascirev.2016.04.017.","productDescription":"21 p.","startPage":"143","endPage":"163","ipdsId":"IP-074549","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":470945,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://durham-repository.worktribe.com/output/1320593","text":"Publisher Index Page"},{"id":342829,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","volume":"142","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"594e28b6e4b062508e3abe2c","contributors":{"authors":[{"text":"Milker, Yvonne","contributorId":193405,"corporation":false,"usgs":false,"family":"Milker","given":"Yvonne","email":"","affiliations":[],"preferred":false,"id":700368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, Alan R. 0000-0001-7117-7098 anelson@usgs.gov","orcid":"https://orcid.org/0000-0001-7117-7098","contributorId":812,"corporation":false,"usgs":true,"family":"Nelson","given":"Alan","email":"anelson@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":700369,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horton, Benjamin P.","contributorId":192807,"corporation":false,"usgs":false,"family":"Horton","given":"Benjamin","email":"","middleInitial":"P.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false},{"id":5110,"text":"Earth Observatory of Singapore, Nanyang Technological University","active":true,"usgs":false}],"preferred":false,"id":700370,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Engelhart, Simon E.","contributorId":60104,"corporation":false,"usgs":false,"family":"Engelhart","given":"Simon","email":"","middleInitial":"E.","affiliations":[{"id":6923,"text":"University of Rhode Island, Kingston, RI","active":true,"usgs":false}],"preferred":false,"id":700371,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradley, Lee-Ann","contributorId":193406,"corporation":false,"usgs":false,"family":"Bradley","given":"Lee-Ann","affiliations":[],"preferred":false,"id":700372,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Witter, Robert C. 0000-0002-1721-254X rwitter@usgs.gov","orcid":"https://orcid.org/0000-0002-1721-254X","contributorId":4528,"corporation":false,"usgs":true,"family":"Witter","given":"Robert C.","email":"rwitter@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":700373,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70170079,"text":"70170079 - 2016 - Landsat Science Team: 2016 winter meeting summary","interactions":[],"lastModifiedDate":"2017-01-18T09:26:26","indexId":"70170079","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3555,"text":"The Earth Observer","active":true,"publicationSubtype":{"id":10}},"title":"Landsat Science Team: 2016 winter meeting summary","docAbstract":"The winter meeting of the joint U.S. Geological Survey (USGS)–NASA Landsat Science Team (LST) was held January 12-14, 2016, at Virginia Tech University in Blacksburg, VA. LST co-chairs Tom Loveland [USGS’s Earth Resources Observation and Science Data Center (EROS)—Senior Scientist] and Jim Irons [NASA’s Goddard Space Flight Center (GSFC)—Landsat 8 Project Scientist] welcomed more than 50 participants to the three-day meeting. The main objectives of this meeting focused on identifying priorities and approaches to improve the global moderate-resolution satellite record. Overall, the meeting was geared more towards soliciting team member recommendations on several rapidly evolving issues, than on providing updates on individual research activities. All the presentations given at the meeting are available at landsat.usgs. gov//science_LST_january2016.php.
","language":"English","publisher":"NASA","usgsCitation":"Schroeder, T., Loveland, T., Wulder, M.A., and Irons, J.R., 2016, Landsat Science Team: 2016 winter meeting summary: The Earth Observer, p. 19-23.","productDescription":"5 p.","startPage":"19","endPage":"23","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-074277","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":324210,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":324209,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://eospso.nasa.gov/sites/default/files/eo_pdfs/May_June_2016_color%20508.pdf"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576bb6b6e4b07657d1a228c9","contributors":{"authors":[{"text":"Schroeder, Todd tschroeder@usgs.gov","contributorId":149137,"corporation":false,"usgs":true,"family":"Schroeder","given":"Todd","email":"tschroeder@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":626045,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loveland, Thomas 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":140611,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas","email":"loveland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":626046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wulder, Michael A.","contributorId":103584,"corporation":false,"usgs":true,"family":"Wulder","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":626047,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Irons, James R.","contributorId":59284,"corporation":false,"usgs":false,"family":"Irons","given":"James","email":"","middleInitial":"R.","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":626048,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70171202,"text":"ofr20161088 - 2016 - Hydrologic analyses in support of the Navajo Generating Station–Kayenta Mine Complex environmental impact statement","interactions":[],"lastModifiedDate":"2016-06-01T16:40:27","indexId":"ofr20161088","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1088","title":"Hydrologic analyses in support of the Navajo Generating Station–Kayenta Mine Complex environmental impact statement","docAbstract":"The U.S. Department of Interior’s Bureau of Reclamation, Lower Colorado Region (Reclamation) is preparing an environmental impact statement (EIS) for the Navajo Generating Station-Kayenta Mine Complex Project (NGS-KMC Project). The proposed project involves various Federal approvals that would facilitate continued operation of the Navajo Generating Station (NGS) from December 23, 2019 through 2044, and continued operation of the Kayenta Mine and support facilities (collectively called the Kayenta Mine Complex, or KMC) to supply coal to the NGS for this operational period. The EIS will consider several project alternatives that are likely to produce different effects on the Navajo (N) aquifer; the N aquifer is the principal water resource in the Black Mesa area used by the Navajo Nation, Hopi Tribe, and Peabody Western Coal Company (PWCC).
The N aquifer is composed of three hydraulically connected formations—the Navajo Sandstone, the Kayenta Formation, and the Lukachukai Member of the Wingate Sandstone—that function as a single aquifer. The N aquifer is confined under most of Black Mesa, and the overlying stratigraphy limits recharge to this part of the aquifer. The N aquifer is unconfined in areas surrounding Black Mesa, and most recharge occurs where the Navajo Sandstone is exposed in the area near Shonto, Arizona. Overlying the N aquifer is the D aquifer, which includes the Dakota Sandstone, Morrison Formation, Entrada Sandstone, and Carmel Formation. The aquifer is named for the Dakota Sandstone, which is the primary water-bearing unit.
The NGS is located near Page, Arizona on the Navajo Nation. The KMC, which delivers coal to NGS by way of a dedicated electric railroad, is located approximately 83 miles southeast of NGS (about 125 miles northeast of Flagstaff, Arizona). The Kayenta Mine permit area is located on about 44,073 acres of land leased within the boundaries of the Hopi and Navajo Indian Reservations. KMC has been conducting mining and reclamation operations within the Kayenta Mine permit boundary since 1973.
The KMC part of the proposed project requires approval by the Office of Surface Mining (OSM) of a significant revision of the mine’s permit to operate in accordance with the Surface Mine Control and Reclamation Act (Public Law 95-87, 91 Stat. 445 [30 U.S.C. 1201 et seq.]). The revision will identify coal resource areas that may be used to continue extracting coal at the present rate of approximately 8.2 million tons per year. The Kayenta Mine Complex uses water pumped from the D and N aquifers beneath PWCC’s leasehold to support mining and reclamation activities. Prior to 2006, water from the PWCC well field also was used to transport coal by way of a coal-slurry pipeline to the now-closed Mohave Generating Station. Water usage at the leasehold was approximately 4,100 acre-feet per year (acre-ft/yr) during the period the pipeline was in use, and declined to an average 1,255 acre-ft/yr from 2006 to 2011. The Probable Hydrologic Consequences (PHC) section of the mining and reclamation permit must be modified to project the consequences of extended water use by the mine for the duration of the KMC part of the project, including a post-mining reclamation period.
Since 1971, the U.S. Geological Survey (USGS) has conducted the Black Mesa Monitoring Program, which consists of monitoring water levels and water quality in the N aquifer, compiling information on water use by PWCC and tribal communities, maintaining several stream-gaging stations, measuring discharge at selected springs, conducting special studies, and reporting findings. These data are useful in evaluating the effects on the N aquifer from PWCC and community pumping, and the effects of variable precipitation.
The EIS will assess the impacts of continued pumping on the N aquifer, including changes in storage, water quality, and effects on spring and baseflow discharge, by proposed mining through 2044, and during the reclamation process to 2057.
Several groundwater models exist for the area and Reclamation concluded it would conduct a peer review of the groundwater flow model that will be used to assess the direct, reasonably foreseeable indirect, and cumulative effects of future groundwater withdrawals on the D and N aquifers in the Black Mesa area. Reclamation made this determination because of the level of controversy around the effects of continued water use and the comments received from the 2014 draft EIS scoping meetings. Reclamation requested assistance from the USGS in evaluating existing groundwater flow models of the Black Mesa Basin that can be used to predict the effects of different project alternatives on the D and N aquifers.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161088","productDescription":"vi, 23 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-076168","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":321807,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1088/ofr20161088.pdf","text":"Report","size":"3.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1088"},{"id":321806,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1088/coverthb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Black Mesa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.4453125,\n 35.545635932499415\n ],\n [\n -111.4453125,\n 36.84446074079564\n ],\n [\n -109.6490478515625,\n 36.84446074079564\n ],\n [\n -109.6490478515625,\n 35.545635932499415\n ],\n [\n -111.4453125,\n 35.545635932499415\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Arizona Water Science Center
U.S. Geological Survey
520 N. Park Avenue
Tucson, AZ 85719
http://az.water.usgs.gov/
Restoring degraded forests and agricultural lands has become a global conservation priority. A growing number of tools can quantify ecosystem service tradeoffs associated with forest restoration. This evolving “tools landscape” presents a dilemma: more tools are available, but selecting appropriate tools has become more challenging. We present a Restoration Ecosystem Service Tool Selector (RESTS) framework that describes key characteristics of 13 ecosystem service assessment tools. Analysts enter information about their decision context, services to be analyzed, and desired outputs. Tools are filtered and presented based on five evaluative criteria: scalability, cost, time requirements, handling of uncertainty, and applicability to benefit-cost analysis. RESTS uses a spreadsheet interface but a web-based interface is planned. Given the rapid evolution of ecosystem services science, RESTS provides an adaptable framework to guide forest restoration decision makers toward tools that can help quantify ecosystem services in support of restoration.
","language":"English","publisher":"Springer-Verlag","doi":"10.1186/s40663-016-0062-y","usgsCitation":"Christin, Z., Bagstad, K.J., and Verdone, M., 2016, A decision framework for identifying models to estimate forest ecosystem services gains from restoration: Forest Ecosystems, v. 3, no. 3, 12 p., https://doi.org/10.1186/s40663-016-0062-y.","productDescription":"12 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068599","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":470936,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40663-016-0062-y","text":"Publisher Index Page"},{"id":323946,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-10","publicationStatus":"PW","scienceBaseUri":"576913aee4b07657d19fef82","contributors":{"authors":[{"text":"Christin, Zachary","contributorId":166875,"corporation":false,"usgs":false,"family":"Christin","given":"Zachary","email":"","affiliations":[{"id":24565,"text":"Earth Economics","active":true,"usgs":false}],"preferred":false,"id":620239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":620238,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Verdone, Michael","contributorId":166876,"corporation":false,"usgs":false,"family":"Verdone","given":"Michael","email":"","affiliations":[{"id":24566,"text":"International Union for the Conservation of Nature","active":true,"usgs":false}],"preferred":false,"id":620240,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193656,"text":"70193656 - 2016 - Seismic envelope-based detection and location of ground-coupled airwaves from volcanoes in Alaska","interactions":[],"lastModifiedDate":"2017-11-02T14:06:56","indexId":"70193656","displayToPublicDate":"2016-06-01T00:00:00","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":"Seismic envelope-based detection and location of ground-coupled airwaves from volcanoes in Alaska","docAbstract":"Volcanic explosions and other infrasonic sources frequently produce acoustic waves that are recorded by seismometers. Here we explore multiple techniques to detect, locate, and characterize ground‐coupled airwaves (GCA) on volcano seismic networks in Alaska. GCA waveforms are typically incoherent between stations, thus we use envelope‐based techniques in our analyses. For distant sources and planar waves, we use f‐k beamforming to estimate back azimuth and trace velocity parameters. For spherical waves originating within the network, we use two related time difference of arrival (TDOA) methods to detect and localize the source. We investigate a modified envelope function to enhance the signal‐to‐noise ratio and emphasize both high energies and energy contrasts within a spectrogram. We apply these methods to recent eruptions from Cleveland, Veniaminof, and Pavlof Volcanoes, Alaska. Array processing of GCA from Cleveland Volcano on 4 May 2013 produces robust detection and wave characterization. Our modified envelopes substantially improve the short‐term average/long‐term average ratios, enhancing explosion detection. We detect GCA within both the Veniaminof and Pavlof networks from the 2007 and 2013–2014 activity, indicating repeated volcanic explosions. Event clustering and forward modeling suggests that high‐resolution localization is possible for GCA on typical volcano seismic networks. These results indicate that GCA can be used to help detect, locate, characterize, and monitor volcanic eruptions, particularly in difficult‐to‐monitor regions. We have implemented these GCA detection algorithms into our operational volcano‐monitoring algorithms at the Alaska Volcano Observatory.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120150244","usgsCitation":"Fee, D., Haney, M.M., Matoza, R.S., Szuberla, C.A., Lyons, J.J., and Waythomas, C.F., 2016, Seismic envelope-based detection and location of ground-coupled airwaves from volcanoes in Alaska: Bulletin of the Seismological Society of America, v. 106, no. 3, p. 1024-1035, https://doi.org/10.1785/0120150244.","productDescription":"12 p.","startPage":"1024","endPage":"1035","ipdsId":"IP-070834","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":348102,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"106","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-05","publicationStatus":"PW","scienceBaseUri":"59fc2ea7e4b0531197b27f8d","contributors":{"authors":[{"text":"Fee, David","contributorId":199660,"corporation":false,"usgs":false,"family":"Fee","given":"David","affiliations":[],"preferred":false,"id":719780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haney, Matthew M. 0000-0003-3317-7884 mhaney@usgs.gov","orcid":"https://orcid.org/0000-0003-3317-7884","contributorId":172948,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719779,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Matoza, Robin S.","contributorId":54873,"corporation":false,"usgs":true,"family":"Matoza","given":"Robin","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":719781,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Szuberla, Curt A.L.","contributorId":175150,"corporation":false,"usgs":false,"family":"Szuberla","given":"Curt","email":"","middleInitial":"A.L.","affiliations":[],"preferred":false,"id":719782,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lyons, John J. 0000-0001-5409-1698 jlyons@usgs.gov","orcid":"https://orcid.org/0000-0001-5409-1698","contributorId":5394,"corporation":false,"usgs":true,"family":"Lyons","given":"John","email":"jlyons@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":719783,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Waythomas, Christopher F. 0000-0002-3898-272X cwaythomas@usgs.gov","orcid":"https://orcid.org/0000-0002-3898-272X","contributorId":640,"corporation":false,"usgs":true,"family":"Waythomas","given":"Christopher","email":"cwaythomas@usgs.gov","middleInitial":"F.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719784,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70168588,"text":"70168588 - 2016 - Enhancing drought resilience with conjunctive use and managed aquifer recharge in California and Arizona","interactions":[],"lastModifiedDate":"2018-09-13T13:55:04","indexId":"70168588","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Enhancing drought resilience with conjunctive use and managed aquifer recharge in California and Arizona","docAbstract":"Projected longer‐term droughts and intense floods underscore the need to store more water to manage climate extremes. Here we show how depleted aquifers have been used to store water by substituting surface water use for groundwater pumpage (conjunctive use, CU) or recharging groundwater with surface water (Managed Aquifer Recharge, MAR). Unique multi‐decadal monitoring from thousands of wells and regional modeling datasets for the California Central Valley and central Arizona were used to assess CU and MAR. In addition to natural reservoir capacity related to deep water tables, historical groundwater depletion further expanded aquifer storage by ~44 km3 in the Central Valley and by ~100 km3 in Arizona, similar to or exceeding current surface reservoir capacity by up to three times. Local river water and imported surface water, transported through 100s of km of canals, is substituted for groundwater (≤15 km3/yr, CU) or is used to recharge groundwater (MAR, ≤1.5 km3/yr) during wet years shifting to mostly groundwater pumpage during droughts. In the Central Valley, CU and MAR locally reversed historically declining water‐level trends, which contrasts with simulated net regional groundwater depletion. In Arizona, CU and MAR also reversed historically declining groundwater level trends in Active Management Areas. These rising trends contrast with current declining trends in irrigated areas that lack access to surface water to support CU or MAR. Use of depleted aquifers as reservoirs could expand with winter flood irrigation or capturing flood discharges to the Pacific (0 – 1.6 km3/yr, 2000–2014) with additional infrastructure in California. Because flexibility and expanded portfolio options translate to resilience, CU and MAR enhance drought resilience through multi‐year storage, complementing shorter term surface reservoir storage, and facilitating water markets.
","language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/11/4/049501","usgsCitation":"Scanlon, B., Reedy, R., Faunt, C., Pool, D.R., and Uhlman, K., 2016, Enhancing drought resilience with conjunctive use and managed aquifer recharge in California and Arizona: Environmental Research Letters, v. 11, no. 3, Article 035013; 15 p., https://doi.org/10.1088/1748-9326/11/4/049501.","productDescription":"Article 035013; 15 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-072928","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":470933,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/11/4/049501","text":"Publisher Index Page"},{"id":324524,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-08","publicationStatus":"PW","scienceBaseUri":"57739fafe4b07657d1a90cbe","contributors":{"authors":[{"text":"Scanlon, Bridget R.","contributorId":74093,"corporation":false,"usgs":true,"family":"Scanlon","given":"Bridget R.","affiliations":[],"preferred":false,"id":620985,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reedy, Robert C.","contributorId":92956,"corporation":false,"usgs":true,"family":"Reedy","given":"Robert C.","affiliations":[],"preferred":false,"id":620986,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faunt, Claudia C. 0000-0001-5659-7529 ccfaunt@usgs.gov","orcid":"https://orcid.org/0000-0001-5659-7529","contributorId":150147,"corporation":false,"usgs":true,"family":"Faunt","given":"Claudia C.","email":"ccfaunt@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":620984,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pool, Donald R. drpool@usgs.gov","contributorId":1121,"corporation":false,"usgs":true,"family":"Pool","given":"Donald","email":"drpool@usgs.gov","middleInitial":"R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":620983,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Uhlman, Kristine;","contributorId":167093,"corporation":false,"usgs":false,"family":"Uhlman","given":"Kristine;","email":"","affiliations":[{"id":17599,"text":"Texas Bureau of Economic Geology","active":true,"usgs":false}],"preferred":false,"id":620987,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70169025,"text":"70169025 - 2016 - Mercury accumulation, and the mercury-PCB-sex interaction, in lake whitefish (Coregonus clupeaformis)","interactions":[],"lastModifiedDate":"2018-08-07T12:05:55","indexId":"70169025","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5021,"text":"Environments","active":true,"publicationSubtype":{"id":10}},"title":"Mercury accumulation, and the mercury-PCB-sex interaction, in lake whitefish (Coregonus clupeaformis)","docAbstract":"We determined whole-fish Hg concentrations of 26 female and 34 male adult lake whitefish (Coregonus clupeaformis) from northern Lake Huron captured during November 2010. Subsampling from these 60 fish, Hg concentration was also determined in both the somatic tissue and ovaries (n=5), while methylmercury (MeHg) concentration was determined in whole fish (n=18). Bioenergetics modeling was used to assess the growth dilution effect on the difference in Hg concentrations between the sexes. Mean whole-fish Hg concentration in females (59.9 ng/g) was not significantly different from mean whole-fish Hg concentration in males (54.4 ng/g). MeHg accounted for 91% of the mercury found in the lake whitefish. Bioenergetics modeling results indicated that the growth dilution effect did not contribute to a difference in Hg concentration between the sexes. We estimated that females increased in Hg concentration by 17.9%, on average, immediately after spawning due to release of eggs. Using PCB data for the same 60 lake whitefish from a previous study, we detected a significant interaction between sex and contaminant type (Hg or PCBs), which was attributable to males being significantly higher in PCB concentration than females. Males may be eliminating Hg at a faster rate than females.
","language":"English","publisher":"Molecular Diversity Preservation International","publisherLocation":"Basel, Switzerland","doi":"10.3390/environments3010007","usgsCitation":"Madenjian, C.P., Ebener, M.P., and Krabbenhoft, D.P., 2016, Mercury accumulation, and the mercury-PCB-sex interaction, in lake whitefish (Coregonus clupeaformis): Environments, v. 3, no. 7, 16 p., https://doi.org/10.3390/environments3010007.","productDescription":"16 p.","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-063712","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":470928,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/environments3010007","text":"Publisher Index 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Division","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":622569,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70181793,"text":"70181793 - 2016 - Body size distributions signal a regime shift in a lake ecosystem","interactions":[],"lastModifiedDate":"2017-02-14T10:54:48","indexId":"70181793","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3173,"text":"Proceedings of the Royal Society B","active":true,"publicationSubtype":{"id":10}},"title":"Body size distributions signal a regime shift in a lake ecosystem","docAbstract":"Communities of organisms, from mammals to microorganisms, have discontinuous distributions of body size. This pattern of size structuring is a conservative trait of community organization and is a product of processes that occur at multiple spatial and temporal scales. In this study, we assessed whether body size patterns serve as an indicator of a threshold between alternative regimes. Over the past 7000 years, the biological communities of Foy Lake (Montana, USA) have undergone a major regime shift owing to climate change. We used a palaeoecological record of diatom communities to estimate diatom sizes, and then analysed the discontinuous distribution of organism sizes over time. We used Bayesian classification and regression tree models to determine that all time intervals exhibited aggregations of sizes separated by gaps in the distribution and found a significant change in diatom body size distributions approximately 150 years before the identified ecosystem regime shift. We suggest that discontinuity analysis is a useful addition to the suite of tools for the detection of early warning signals of regime shifts.
","language":"English","doi":"10.1098/rspb.2016.0249","usgsCitation":"Spanbauer, T., Allen, C.R., Angeler, D., Eason, T., Fritz, S.C., Garmestani, A.S., Nash, K.L., Stone, J., Stow, C., and Sundstrom, S.M., 2016, Body size distributions signal a regime shift in a lake ecosystem: Proceedings of the Royal Society B, v. 283, no. 1833, Article 20160249, https://doi.org/10.1098/rspb.2016.0249.","productDescription":"Article 20160249","ipdsId":"IP-071956","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":470951,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rspb.2016.0249","text":"Publisher Index Page"},{"id":335329,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"283","issue":"1833","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-29","publicationStatus":"PW","scienceBaseUri":"58a42533e4b0c825128ad428","chorus":{"doi":"10.1098/rspb.2016.0249","url":"http://dx.doi.org/10.1098/rspb.2016.0249","publisher":"The Royal Society","authors":"Spanbauer Trisha L., Allen Craig R., Angeler David G., Eason Tarsha, Fritz Sherilyn C., Garmestani Ahjond S., Nash Kirsty L., Stone Jeffery R., Stow Craig A., Sundstrom Shana M.","journalName":"Proceedings of the Royal Society B: Biological Sciences","publicationDate":"6/22/2016","auditedOn":"9/12/2016"},"contributors":{"authors":[{"text":"Spanbauer, Trisha","contributorId":146435,"corporation":false,"usgs":false,"family":"Spanbauer","given":"Trisha","email":"","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":668578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":668579,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Angeler, David G.","contributorId":25027,"corporation":false,"usgs":true,"family":"Angeler","given":"David G.","affiliations":[],"preferred":false,"id":668580,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eason, Tarsha","contributorId":82220,"corporation":false,"usgs":true,"family":"Eason","given":"Tarsha","email":"","affiliations":[],"preferred":false,"id":668581,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fritz, Sherilyn C.","contributorId":30155,"corporation":false,"usgs":true,"family":"Fritz","given":"Sherilyn","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":668582,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Garmestani, Ahjond S.","contributorId":77285,"corporation":false,"usgs":true,"family":"Garmestani","given":"Ahjond","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":668583,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nash, Kirsty L.","contributorId":40897,"corporation":false,"usgs":true,"family":"Nash","given":"Kirsty","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":668584,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stone, Jeffery R.","contributorId":95501,"corporation":false,"usgs":true,"family":"Stone","given":"Jeffery R.","affiliations":[],"preferred":false,"id":668585,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stow, Craig A.","contributorId":49733,"corporation":false,"usgs":true,"family":"Stow","given":"Craig A.","affiliations":[],"preferred":false,"id":668586,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sundstrom, Shana M.","contributorId":7159,"corporation":false,"usgs":true,"family":"Sundstrom","given":"Shana","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":668587,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70187275,"text":"70187275 - 2016 - Deriving habitat models for northern long-eared bats from historical detection data: A case study using the Fernow Experimental Forest","interactions":[],"lastModifiedDate":"2017-04-28T10:58:17","indexId":"70187275","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Deriving habitat models for northern long-eared bats from historical detection data: A case study using the Fernow Experimental Forest","docAbstract":"The listing of the northern long-eared bat (Myotis septentrionalis) as federally threatened under the Endangered Species Act following severe population declines from white-nose syndrome presents considerable challenges to natural resource managers. Because the northern long-eared bat is a forest habitat generalist, development of effective conservation measures will depend on appropriate understanding of its habitat relationships at individual locations. However, severely reduced population sizes make gathering data for such models difficult. As a result, historical data may be essential in development of habitat models. To date, there has been little evaluation of how effective historical bat presence data, such as data derived from mist-net captures, acoustic detection, and day-roost locations, may be in developing habitat models, nor is it clear how models created using different data sources may differ. We explored this issue by creating presence probability models for the northern long-eared bat on the Fernow Experimental Forest in the central Appalachian Mountains of West Virginia using a historical, presence-only data set. Each presence data type produced outputs that were dissimilar but that still corresponded with known traits of the northern long-eared bat or are easily explained in the context of the particular data collection protocol. However, our results also highlight potential limitations of individual data types. For example, models from mist-net capture data only showed high probability of presence along the dendritic network of riparian areas, an obvious artifact of sampling methodology. Development of ecological niche and presence models for northern long-eared bat populations could be highly valuable for resource managers going forward with this species. We caution, however, that efforts to create such models should consider the substantial limitations of models derived from historical data, and address model assumptions.
","language":"English","publisher":"Scientific Journals","doi":"10.3996/012015-JFWM-004","usgsCitation":"Ford, W.M., Silvis, A., Rodrigue, J.L., Kniowski, A.B., and Johnson, J.B., 2016, Deriving habitat models for northern long-eared bats from historical detection data: A case study using the Fernow Experimental Forest: Journal of Fish and Wildlife Management, v. 7, no. 1, p. 86-98, https://doi.org/10.3996/012015-JFWM-004.","productDescription":"13 p.","startPage":"86","endPage":"98","ipdsId":"IP-062420","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470949,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.3996/012015-jfwm-004","text":"External Repository"},{"id":340601,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Fernow Experimental Forest","volume":"7","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-01","publicationStatus":"PW","scienceBaseUri":"590454a4e4b022cee40dc23c","contributors":{"authors":[{"text":"Ford, W. Mark wford@usgs.gov","contributorId":3858,"corporation":false,"usgs":true,"family":"Ford","given":"W.","email":"wford@usgs.gov","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":693183,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Silvis, Alexander","contributorId":171585,"corporation":false,"usgs":false,"family":"Silvis","given":"Alexander","email":"","affiliations":[{"id":26923,"text":"Virginia Polytechnic Institute, Blacksburg, VA","active":true,"usgs":false}],"preferred":false,"id":693456,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodrigue, Jane L.","contributorId":150352,"corporation":false,"usgs":false,"family":"Rodrigue","given":"Jane","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":693457,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kniowski, Andrew B.","contributorId":191558,"corporation":false,"usgs":false,"family":"Kniowski","given":"Andrew","email":"","middleInitial":"B.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":693458,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Joshua B.","contributorId":171598,"corporation":false,"usgs":false,"family":"Johnson","given":"Joshua","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":693459,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70191110,"text":"70191110 - 2016 - Combined use of thermal methods and seepage meters to efficiently locate, quantify, and monitor focused groundwater discharge to a sand-bed stream","interactions":[],"lastModifiedDate":"2018-08-07T12:12:24","indexId":"70191110","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Combined use of thermal methods and seepage meters to efficiently locate, quantify, and monitor focused groundwater discharge to a sand-bed stream","docAbstract":"Quantifying flow of groundwater through streambeds often is difficult due to the complexity of aquifer-scale heterogeneity combined with local-scale hyporheic exchange. We used fiber-optic distributed temperature sensing (FO-DTS), seepage meters, and vertical temperature profiling to locate, quantify, and monitor areas of focused groundwater discharge in a geomorphically simple sand-bed stream. This combined approach allowed us to rapidly focus efforts at locations where prodigious amounts of groundwater discharged to the Quashnet River on Cape Cod, Massachusetts, northeastern USA. FO-DTS detected numerous anomalously cold reaches one to several m long that persisted over two summers. Seepage meters positioned upstream, within, and downstream of 7 anomalously cold reaches indicated that rapid groundwater discharge occurred precisely where the bed was cold; median upward seepage was nearly 5 times faster than seepage measured in streambed areas not identified as cold. Vertical temperature profilers deployed next to 8 seepage meters provided diurnal-signal-based seepage estimates that compared remarkably well with seepage-meter values. Regression slope and R2 values both were near 1 for seepage ranging from 0.05 to 3.0 m d−1. Temperature-based seepage model accuracy was improved with thermal diffusivity determined locally from diurnal signals. Similar calculations provided values for streambed sediment scour and deposition at subdaily resolution. Seepage was strongly heterogeneous even along a sand-bed river that flows over a relatively uniform sand and fine-gravel aquifer. FO-DTS was an efficient method for detecting areas of rapid groundwater discharge, even in a strongly gaining river, that can then be quantified over time with inexpensive streambed thermal methods.
","language":"English","publisher":"AGU","doi":"10.1002/2016WR018808","usgsCitation":"Rosenberry, D.O., Briggs, M.A., Delin, G.N., and Hare, D.K., 2016, Combined use of thermal methods and seepage meters to efficiently locate, quantify, and monitor focused groundwater discharge to a sand-bed stream: Water Resources Research, v. 52, no. 6, p. 4486-4503, https://doi.org/10.1002/2016WR018808.","productDescription":"18 p.","startPage":"4486","endPage":"4503","ipdsId":"IP-074377","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":470931,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016wr018808","text":"Publisher Index Page"},{"id":346111,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.5154037475586,\n 41.58810068130451\n ],\n [\n -70.499267578125,\n 41.58810068130451\n ],\n [\n -70.499267578125,\n 41.6154423246811\n ],\n [\n -70.5154037475586,\n 41.6154423246811\n ],\n [\n -70.5154037475586,\n 41.58810068130451\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"52","issue":"6","noUsgsAuthors":false,"publicationDate":"2016-06-12","publicationStatus":"PW","scienceBaseUri":"59cb6732e4b017cf3141c697","contributors":{"authors":[{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":711255,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":711256,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Delin, Geoffrey N. 0000-0001-7991-6158 delin@usgs.gov","orcid":"https://orcid.org/0000-0001-7991-6158","contributorId":2610,"corporation":false,"usgs":true,"family":"Delin","given":"Geoffrey","email":"delin@usgs.gov","middleInitial":"N.","affiliations":[{"id":5063,"text":"Central Water Science Field Team","active":true,"usgs":true}],"preferred":true,"id":711257,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hare, Danielle K.","contributorId":76222,"corporation":false,"usgs":true,"family":"Hare","given":"Danielle","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":711258,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70173597,"text":"70173597 - 2016 - Patch occupancy of stream fauna across a land cover gradient in the southern Appalachians, USA","interactions":[],"lastModifiedDate":"2019-12-30T09:16:08","indexId":"70173597","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Patch occupancy of stream fauna across a land cover gradient in the southern Appalachians, USA","docAbstract":"We modeled patch occupancy to examine factors that best predicted the prevalence of four functionally important focal stream consumers (Tallaperla spp., Cambarus spp.,Pleurocera proxima, and Cottus bairdi) among 37 reaches within the Little Tennessee River basin of the southern Appalachian Mountains, USA. We compared 34 models of patch occupancy to examine the association of catchment and reach scale factors that varied as a result of converting forest to agricultural or urban land use. Occupancy of our taxa was linked to parameters reflecting both catchment and reach extent characteristics. At the catchment level, forest cover or its conversion to agriculture was a major determinant of occupancy for all four taxa. Patch occupancies of Tallaperla, Cambarus, and C. bairdi were positively, and Pleurocera negatively, correlated with forest cover. Secondarily at the reach level, local availability of large woody debris was important forCambarus, availability of large cobble substrate was important for C. bairdi, and stream calcium concentration was important for P. proxima. Our results show the abundance of stream organisms was determined by the taxon-dependent interplay between catchment- and reach-level factors.
","language":"English","publisher":"Springer","doi":"10.1007/s10750-016-2695-9","usgsCitation":"Frisch, J.R., Peterson, J., Cecala, K.K., Maerz, J.C., Jackson, C.R., Gragson, T.L., and Pringle, C., 2016, Patch occupancy of stream fauna across a land cover gradient in the southern Appalachians, USA: Hydrobiologia, v. 773, no. 1, p. 163-175, https://doi.org/10.1007/s10750-016-2695-9.","productDescription":"13 p.","startPage":"163","endPage":"175","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054927","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323494,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia, North Carolina","otherGeospatial":"Little Tenneessee River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.7295532227,\n 34.867904962568716\n ],\n [\n -83.7295532227,\n 35.36665566526249\n ],\n [\n -83.323059082,\n 35.36665566526249\n ],\n [\n -83.323059082,\n 34.867904962568716\n ],\n [\n -83.7295532227,\n 34.867904962568716\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"773","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-22","publicationStatus":"PW","scienceBaseUri":"575fd92fe4b04f417c2baa4e","contributors":{"authors":[{"text":"Frisch, John R.","contributorId":171761,"corporation":false,"usgs":false,"family":"Frisch","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":638557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637385,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cecala, Kristen K.","contributorId":171762,"corporation":false,"usgs":false,"family":"Cecala","given":"Kristen","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":638558,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maerz, John C.","contributorId":171763,"corporation":false,"usgs":false,"family":"Maerz","given":"John","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":638559,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jackson, C. Rhett","contributorId":119155,"corporation":false,"usgs":false,"family":"Jackson","given":"C.","email":"","middleInitial":"Rhett","affiliations":[{"id":13267,"text":"Warnell School of Forestry and Natural Resources, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":638560,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gragson, Ted L.","contributorId":171764,"corporation":false,"usgs":false,"family":"Gragson","given":"Ted","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":638561,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pringle, Catherine M.","contributorId":104380,"corporation":false,"usgs":true,"family":"Pringle","given":"Catherine M.","affiliations":[],"preferred":false,"id":638562,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70178112,"text":"70178112 - 2016 - Making it and breaking it in the Midwest: Continental assembly and rifting from modeling of EarthScope magnetotelluric data","interactions":[],"lastModifiedDate":"2018-07-09T12:14:08","indexId":"70178112","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3112,"text":"Precambrian Research","active":true,"publicationSubtype":{"id":10}},"title":"Making it and breaking it in the Midwest: Continental assembly and rifting from modeling of EarthScope magnetotelluric data","docAbstract":"A three-dimensional lithospheric-scale resistivity model of the North American mid-continent has been estimated based upon EarthScope magnetotelluric data. Details of the resistivity model are discussed in relation to lithospheric sutures, defined primarily from aeromagnetic and geochronologic data, which record the southward growth of the Laurentian margin in the Proterozoic. The resistivity signature of the 1.1 Ga Mid-continent Rift System is examined in detail, in particular as relates to rift geometry, extent, and segmentation. An unrecognized expanse of (concealed) Proterozoic deltaic deposits in Kansas is identified and speculated to result from axial drainage along the southwest rift arm akin to the Rio Grande delta which drains multiple rift basins. A prominent conductor traces out Cambrian rifting in Arkansas, Missouri, Tennessee, and Kentucky; this linear conductor has not been imaged before and suggests that the Cambrian rift system may have been more extensive than previously thought. The highest conductivity within the mid-continent is imaged in Minnesota, Michigan, and Wisconsin where it is coincident with Paleoproterozoic metasedimentary rocks. The high conductivity is attributed to metallic sulfides, and in some cases, graphite. The former is a potential source of sulfur for multiple mineral deposits types, occurrences of which are found throughout the region. Finally, the imprint left within the mantle following the 1.1 Ga rifting event is examined. Variations in lithospheric mantle conductivity are observed and are interpreted to reflect variations in water content (depleted versus metasomatized mantle) imprinted upon the mantle by the Keweenawan mantle plume.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.precamres.2016.03.009","usgsCitation":"Bedrosian, P.A., 2016, Making it and breaking it in the Midwest: Continental assembly and rifting from modeling of EarthScope magnetotelluric data: Precambrian Research, v. 278, p. 337-361, https://doi.org/10.1016/j.precamres.2016.03.009.","productDescription":"15 p.","startPage":"337","endPage":"361","ipdsId":"IP-071110","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":37273,"text":"Advanced Research Computing (ARC)","active":true,"usgs":true}],"links":[{"id":470941,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.precamres.2016.03.009","text":"Publisher Index Page"},{"id":330684,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"278","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"581c4cc3e4b09688d6e90fb7","contributors":{"authors":[{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":652813,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70178582,"text":"70178582 - 2016 - What do we really know about the role of microorganisms in iron sulfide mineral formation?","interactions":[],"lastModifiedDate":"2016-11-29T16:10:37","indexId":"70178582","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"What do we really know about the role of microorganisms in iron sulfide mineral formation?","docAbstract":"Iron sulfide mineralization in low-temperature systems is a result of biotic and abiotic processes, though the delineation between these two modes of formation is not always straightforward. Here we review the role of microorganisms in the precipitation of extracellular iron sulfide minerals. We summarize the evidence that links sulfur-metabolizing microorganisms and sulfide minerals in nature and we present a critical overview of laboratory-based studies of the nucleation and growth of iron sulfide minerals in microbial cultures. We discuss whether biologically derived minerals are distinguishable from abiotic minerals, possessing attributes that are uniquely diagnostic of biomineralization. These inquiries have revealed the need for additional thorough, mechanistic and high-resolution studies to understand microbially mediated formation of a variety of sulfide minerals across a range of natural environments.
","language":"English","publisher":"Frontiers","doi":"10.3389/feart.2016.00068","usgsCitation":"Picard, A.A., Gartman, A., and Girguis, P., 2016, What do we really know about the role of microorganisms in iron sulfide mineral formation?: Frontiers in Earth Science, v. 4, Article 68; 10 p., https://doi.org/10.3389/feart.2016.00068.","productDescription":"Article 68; 10 p.","ipdsId":"IP-072585","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470922,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2016.00068","text":"Publisher Index Page"},{"id":331297,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-15","publicationStatus":"PW","scienceBaseUri":"583ea1c1e4b0f0dc05ea54e7","contributors":{"authors":[{"text":"Picard, Aude A.","contributorId":177058,"corporation":false,"usgs":false,"family":"Picard","given":"Aude","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":654441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gartman, Amy 0000-0001-9307-3062 agartman@usgs.gov","orcid":"https://orcid.org/0000-0001-9307-3062","contributorId":177057,"corporation":false,"usgs":true,"family":"Gartman","given":"Amy","email":"agartman@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":654440,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Girguis, Peter R.","contributorId":177059,"corporation":false,"usgs":false,"family":"Girguis","given":"Peter R.","affiliations":[{"id":16811,"text":"Harvard University","active":true,"usgs":false}],"preferred":false,"id":654442,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70170996,"text":"70170996 - 2016 - Dynamic simulation and numerical analysis of hurricane storm surge under sea level rise with geomorphologic changes along the northern Gulf of Mexico","interactions":[],"lastModifiedDate":"2016-12-16T11:34:36","indexId":"70170996","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5053,"text":"Earth's Future","active":true,"publicationSubtype":{"id":10}},"title":"Dynamic simulation and numerical analysis of hurricane storm surge under sea level rise with geomorphologic changes along the northern Gulf of Mexico","docAbstract":"This work outlines a dynamic modeling framework to examine the effects of global climate change, and sea level rise (SLR) in particular, on tropical cyclone-driven storm surge inundation. The methodology, applied across the northern Gulf of Mexico, adapts a present day large-domain, high resolution, tide, wind-wave, and hurricane storm surge model to characterize the potential outlook of the coastal landscape under four SLR scenarios for the year 2100. The modifications include shoreline and barrier island morphology, marsh migration, and land use land cover change. Hydrodynamics of 10 historic hurricanes were simulated through each of the five model configurations (present day and four SLR scenarios). Under SLR, the total inundated land area increased by 87% and developed and agricultural lands by 138% and 189%, respectively. Peak surge increased by as much as 1 m above the applied SLR in some areas, and other regions were subject to a reduction in peak surge, with respect to the applied SLR, indicating a nonlinear response. Analysis of time-series water surface elevation suggests the interaction between SLR and storm surge is nonlinear in time; SLR increased the time of inundation and caused an earlier arrival of the peak surge, which cannot be addressed using a static (“bathtub”) modeling framework. This work supports the paradigm shift to using a dynamic modeling framework to examine the effects of global climate change on coastal inundation. The outcomes have broad implications and ultimately support a better holistic understanding of the coastal system and aid restoration and long-term coastal sustainability.
","language":"English","publisher":"American Geophysical Union","publisherLocation":"Hoboken, NJ","doi":"10.1002/2015EF000347","usgsCitation":"Bilskie, M.V., Hagen, S., Alizad, K., Medeiros, S., Passeri, D., Needham, H., and Cox, A., 2016, Dynamic simulation and numerical analysis of hurricane storm surge under sea level rise with geomorphologic changes along the northern Gulf of Mexico: Earth's Future, v. 4, no. 5, p. 177-193, https://doi.org/10.1002/2015EF000347.","productDescription":"17 p.","startPage":"177","endPage":"193","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071880","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470938,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015ef000347","text":"Publisher Index Page"},{"id":323971,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.1982421875,\n 29.530450107491063\n ],\n [\n -88.1982421875,\n 30.727670895047673\n ],\n [\n -84.287109375,\n 30.727670895047673\n ],\n [\n -84.287109375,\n 29.530450107491063\n ],\n [\n -88.1982421875,\n 29.530450107491063\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-09","publicationStatus":"PW","scienceBaseUri":"576913b6e4b07657d19ff01a","contributors":{"authors":[{"text":"Bilskie, Matthew V.","contributorId":166891,"corporation":false,"usgs":false,"family":"Bilskie","given":"Matthew","email":"","middleInitial":"V.","affiliations":[{"id":16154,"text":"LSU","active":true,"usgs":false}],"preferred":false,"id":629549,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hagen, S.C.","contributorId":169331,"corporation":false,"usgs":false,"family":"Hagen","given":"S.C.","email":"","affiliations":[{"id":16154,"text":"LSU","active":true,"usgs":false}],"preferred":false,"id":629550,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alizad, K.A.","contributorId":169332,"corporation":false,"usgs":false,"family":"Alizad","given":"K.A.","affiliations":[{"id":24567,"text":"UCF","active":true,"usgs":false}],"preferred":false,"id":629551,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Medeiros, S.C.","contributorId":169333,"corporation":false,"usgs":false,"family":"Medeiros","given":"S.C.","email":"","affiliations":[{"id":24567,"text":"UCF","active":true,"usgs":false}],"preferred":false,"id":629552,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Passeri, Davina 0000-0002-9760-3195 dpasseri@usgs.gov","orcid":"https://orcid.org/0000-0002-9760-3195","contributorId":166889,"corporation":false,"usgs":true,"family":"Passeri","given":"Davina","email":"dpasseri@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":629548,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Needham, H.F.","contributorId":169334,"corporation":false,"usgs":false,"family":"Needham","given":"H.F.","email":"","affiliations":[{"id":25478,"text":"Marine Weather and Climate, Baton Rouge, LA","active":true,"usgs":false}],"preferred":false,"id":629553,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cox, A.","contributorId":89266,"corporation":false,"usgs":true,"family":"Cox","given":"A.","email":"","affiliations":[],"preferred":false,"id":629554,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70168350,"text":"70168350 - 2016 - Palaeodata-informed modelling of large carbon losses from recent burning of boreal forests","interactions":[],"lastModifiedDate":"2016-06-29T16:41:36","indexId":"70168350","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"Palaeodata-informed modelling of large carbon losses from recent burning of boreal forests","docAbstract":"Wildfires play a key role in the boreal forest carbon cycle1, 2, and models suggest that accelerated burning will increase boreal C emissions in the coming century3. However, these predictions may be compromised because brief observational records provide limited constraints to model initial conditions4. We confronted this limitation by using palaeoenvironmental data to drive simulations of long-term C dynamics in the Alaskan boreal forest. Results show that fire was the dominant control on C cycling over the past millennium, with changes in fire frequency accounting for 84% of C stock variability. A recent rise in fire frequency inferred from the palaeorecord5 led to simulated C losses of 1.4 kg C m−2 (12% of ecosystem C stocks) from 1950 to 2006. In stark contrast, a small net C sink of 0.3 kg C m−2 occurred if the past fire regime was assumed to be similar to the modern regime, as is common in models of C dynamics. Although boreal fire regimes are heterogeneous, recent trends6 and future projections7 point to increasing fire activity in response to climate warming throughout the biome. Thus, predictions8 that terrestrial C sinks of northern high latitudes will mitigate rising atmospheric CO2 may be over-optimistic.
","language":"English","publisher":"Nature","doi":"10.1038/nclimate2832","usgsCitation":"Kelly, R., Genet, H., McGuire, A.D., and Hu, F., 2016, Palaeodata-informed modelling of large carbon losses from recent burning of boreal forests: Nature Climate Change, v. 6, p. 79-82, https://doi.org/10.1038/nclimate2832.","productDescription":"4 p.","startPage":"79","endPage":"82","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054929","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":324658,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-19","publicationStatus":"PW","scienceBaseUri":"5774e349e4b07dd077c5fcd1","contributors":{"authors":[{"text":"Kelly, Ryan","contributorId":172597,"corporation":false,"usgs":false,"family":"Kelly","given":"Ryan","affiliations":[],"preferred":false,"id":641376,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Genet, Helene","contributorId":95370,"corporation":false,"usgs":true,"family":"Genet","given":"Helene","affiliations":[],"preferred":false,"id":641377,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, A. David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":619790,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hu, Feng Sheng","contributorId":14280,"corporation":false,"usgs":true,"family":"Hu","given":"Feng Sheng","affiliations":[],"preferred":false,"id":641378,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70187260,"text":"70187260 - 2016 - Population viability analysis for endangered Roanoke logperch","interactions":[],"lastModifiedDate":"2017-04-28T11:00:56","indexId":"70187260","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Population viability analysis for endangered Roanoke logperch","docAbstract":"A common strategy for recovering endangered species is ensuring that populations exceed the minimum viable population size (MVP), a demographic benchmark that theoretically ensures low long-term extinction risk. One method of establishing MVP is population viability analysis, a modeling technique that simulates population trajectories and forecasts extinction risk based on a series of biological, environmental, and management assumptions. Such models also help identify key uncertainties that have a large influence on extinction risk. We used stochastic count-based simulation models to explore extinction risk, MVP, and the possible benefits of alternative management strategies in populations of Roanoke logperch Percina rex, an endangered stream fish. Estimates of extinction risk were sensitive to the assumed population growth rate and model type, carrying capacity, and catastrophe regime (frequency and severity of anthropogenic fish kills), whereas demographic augmentation did little to reduce extinction risk. Under density-dependent growth, the estimated MVP for Roanoke logperch ranged from 200 to 4200 individuals, depending on the assumed severity of catastrophes. Thus, depending on the MVP threshold, anywhere from two to all five of the logperch populations we assessed were projected to be viable. Despite this uncertainty, these results help identify populations with the greatest relative extinction risk, as well as management strategies that might reduce this risk the most, such as increasing carrying capacity and reducing fish kills. Better estimates of population growth parameters and catastrophe regimes would facilitate the refinement of MVP and extinction-risk estimates, and they should be a high priority for future research on Roanoke logperch and other imperiled stream-fish species.
","language":"English","publisher":"Scientific Journals","doi":"10.3996/032015-JFWM-026","usgsCitation":"Roberts, J.H., Angermeier, P.L., and Anderson, G.B., 2016, Population viability analysis for endangered Roanoke logperch: Journal of Fish and Wildlife Management, v. 7, no. 1, p. 46-64, https://doi.org/10.3996/032015-JFWM-026.","productDescription":"19 p.","startPage":"46","endPage":"64","ipdsId":"IP-061309","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340602,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-01","publicationStatus":"PW","scienceBaseUri":"590454a4e4b022cee40dc23e","contributors":{"authors":[{"text":"Roberts, James H.","contributorId":83811,"corporation":false,"usgs":true,"family":"Roberts","given":"James","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":693460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Angermeier, Paul L. 0000-0003-2864-170X biota@usgs.gov","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":166679,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Gregory B.","contributorId":65988,"corporation":false,"usgs":true,"family":"Anderson","given":"Gregory","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":693461,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192617,"text":"70192617 - 2016 - Hierarchical species distribution models","interactions":[],"lastModifiedDate":"2017-11-10T11:14:28","indexId":"70192617","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5476,"text":"Current Landscape Ecology Reports","active":true,"publicationSubtype":{"id":10}},"title":"Hierarchical species distribution models","docAbstract":"Determining the distribution pattern of a species is important to increase scientific knowledge, inform management decisions, and conserve biodiversity. To infer spatial and temporal patterns, species distribution models have been developed for use with many sampling designs and types of data. Recently, it has been shown that count, presence-absence, and presence-only data can be conceptualized as arising from a point process distribution. Therefore, it is important to understand properties of the point process distribution. We examine how the hierarchical species distribution modeling framework has been used to incorporate a wide array of regression and theory-based components while accounting for the data collection process and making use of auxiliary information. The hierarchical modeling framework allows us to demonstrate how several commonly used species distribution models can be derived from the point process distribution, highlight areas of potential overlap between different models, and suggest areas where further research is needed.
","language":"English","publisher":"Springer","doi":"10.1007/s40823-016-0008-7","usgsCitation":"Hefley, T.J., and Hooten, M., 2016, Hierarchical species distribution models: Current Landscape Ecology Reports, v. 1, no. 2, p. 87-97, https://doi.org/10.1007/s40823-016-0008-7.","productDescription":"11 p.","startPage":"87","endPage":"97","ipdsId":"IP-071733","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470930,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s40823-016-0008-7","text":"Publisher Index Page"},{"id":348570,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-09","publicationStatus":"PW","scienceBaseUri":"5a06c8d3e4b09af898c8615c","contributors":{"authors":[{"text":"Hefley, Trevor J.","contributorId":147146,"corporation":false,"usgs":false,"family":"Hefley","given":"Trevor","email":"","middleInitial":"J.","affiliations":[{"id":16796,"text":"Dept Fish, Wildlife & Cons Biol, Colorado St Univ, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":721571,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":716563,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173895,"text":"70173895 - 2016 - Somatic growth dynamics of West Atlantic hawksbill sea turtles: a spatio-temporal perspective","interactions":[],"lastModifiedDate":"2016-10-24T09:10:47","indexId":"70173895","displayToPublicDate":"2016-05-31T00:15:00","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":"Somatic growth dynamics of West Atlantic hawksbill sea turtles: a spatio-temporal perspective","docAbstract":"Somatic growth dynamics are an integrated response to environmental conditions. Hawksbill sea turtles (Eretmochelys imbricata) are long-lived, major consumers in coral reef habitats that move over broad geographic areas (hundreds to thousands of kilometers). We evaluated spatio-temporal effects on hawksbill growth dynamics over a 33-yr period and 24 study sites throughout the West Atlantic and explored relationships between growth dynamics and climate indices. We compiled the largest ever data set on somatic growth rates for hawksbills – 3541 growth increments from 1980 to 2013. Using generalized additive mixed model analyses, we evaluated 10 covariates, including spatial and temporal variation, that could affect growth rates. Growth rates throughout the region responded similarly over space and time. The lack of a spatial effect or spatio-temporal interaction and the very strong temporal effect reveal that growth rates in West Atlantic hawksbills are likely driven by region-wide forces. Between 1997 and 2013, mean growth rates declined significantly and steadily by 18%. Regional climate indices have significant relationships with annual growth rates with 0- or 1-yr lags: positive with the Multivariate El Niño Southern Oscillation Index (correlation = 0.99) and negative with Caribbean sea surface temperature (correlation = −0.85). Declines in growth rates between 1997 and 2013 throughout the West Atlantic most likely resulted from warming waters through indirect negative effects on foraging resources of hawksbills. These climatic influences are complex. With increasing temperatures, trajectories of decline of coral cover and availability in reef habitats of major prey species of hawksbills are not parallel. Knowledge of how choice of foraging habitats, prey selection, and prey abundance are affected by warming water temperatures is needed to understand how climate change will affect productivity of consumers that live in association with coral reefs. Main conclusions The decadal declines in growth rates between 1997 and 2013 throughout the West Atlantic most likely resulted from warming waters through indirect negative effects on the foraging resources of hawksbills. These climatic influences are complex. With increasing temperatures, the trajectories of decline of coral cover and availability in reef habitats of major prey species of hawksbills are not parallel. Knowledge of how choice of foraging habitats, prey selection, and prey abundance are affected by warming water temperatures is needed to understand how climate change will affect productivity of consumers that live in association with coral reefs.
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