The importance of transient dynamics of structured populations is increasingly recognized in ecology, yet these implications are not largely considered in conservation practices. We investigate transient and long-term population dynamics to demonstrate the process and utility of incorporating transient dynamics into conservation research and to better understand the population management of slow life-history species; these species can be theoretically highly sensitive to short- and long-term transient effects. We are specifically interested in the effects of anthropogenic removal of individuals from populations, such as caused by harvest, poaching, translocation, or incidental take. We use the sandhill crane (Grus canadensis) as an exemplar species; it is long-lived, has low reproduction, late maturity, and multiple populations are subject to sport harvest. We found sandhill cranes to have extremely high potential, but low likelihood for transient dynamics, even when the population is being harvested. The typically low population growth rate of slow life-history species appears to buffer against many perturbations causing large transient effects. Transient dynamics will dominate population trajectories of these species when stage structures are highly biased towards the younger and non-reproducing individuals, a situation that may be rare in established populations of long-lived animals. However, short-term transient population growth can be highly sensitive to vital rates that are relatively insensitive under equilibrium, suggesting that stage structure should be known if perturbation analysis is used to identify effective conservation strategies. For populations of slow life-history species that are not prone to large perturbations to their most productive individuals, population growth may be approximated by equilibrium dynamics.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2016.06.014","usgsCitation":"Gerber, B.D., and Kendall, W., 2016, Considering transient population dynamics in the conservation of slow life-history species: An application to the sandhill crane: Biological Conservation, v. 200, p. 228-239, https://doi.org/10.1016/j.biocon.2016.06.014.","productDescription":"12 p.","startPage":"228","endPage":"239","ipdsId":"IP-069777","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":336976,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"200","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58bfd4f4e4b014cc3a3ba4bb","contributors":{"authors":[{"text":"Gerber, Brian D.","contributorId":187620,"corporation":false,"usgs":false,"family":"Gerber","given":"Brian","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":681089,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, William L. 0000-0003-0084-9891 wkendall@usgs.gov","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":166709,"corporation":false,"usgs":true,"family":"Kendall","given":"William L.","email":"wkendall@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":681007,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70184324,"text":"70184324 - 2016 - Desert bighorn sheep lambing habitat: Parturition, nursery, and predation sites","interactions":[],"lastModifiedDate":"2017-03-07T15:55:33","indexId":"70184324","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Desert bighorn sheep lambing habitat: Parturition, nursery, and predation sites","docAbstract":"Fitness of female ungulates is determined by neonate survival and lifetime reproductive success. Therefore, adult female ungulates should adopt behaviors and habitat selection patterns that enhance survival of neonates during parturition and lactation. Parturition site location may play an important role in neonatal mortality of desert bighorn sheep (Ovis canadensis mexicana) when lambs are especially vulnerable to predation, but parturition sites are rarely documented for this species. Our objectives were to assess environmental characteristics at desert bighorn parturition, lamb nursery, and predation sites and to assess differences in habitat characteristics between parturition sites and nursery group sites, and predation sites and nursery group sites. We used vaginal implant transmitters (VITs) to identify parturition sites and capture neonates. We then compared elevation, slope, terrain ruggedness, and visibility at parturition, nursery, and lamb predation sites with paired random sites and compared characteristics of parturition sites and lamb predation sites to those of nursery sites. When compared to random sites, odds of a site being a parturition site were highest at intermediate slopes and decreased with increasing female visibility. Odds of a site being a predation site increased with decreasing visibility. When compared to nursery group sites, odds of a site being a parturition site had a quadratic relationship with elevation and slope, with odds being highest at intermediate elevations and intermediate slopes. When we compared predation sites to nursery sites, odds of a site being a predation were highest at low elevation areas with high visibility and high elevation areas with low visibility likely because of differences in hunting strategies of coyote (Canis latrans) and puma (Puma concolor). Parturition sites were lower in elevation and slope than nursery sites. Understanding selection of parturition sites by adult females and how habitat characteristics at these sites differ from those at predation and nursery sites can provide insight into strategies employed by female desert bighorn sheep and other species during and after parturition to promote neonate survival.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21092","usgsCitation":"Karsch, R., Cain, J.W., Rominger, E.M., and Goldstein, E., 2016, Desert bighorn sheep lambing habitat: Parturition, nursery, and predation sites: Journal of Wildlife Management, v. 80, no. 6, p. 1069-1080, https://doi.org/10.1002/jwmg.21092.","productDescription":"12 p.","startPage":"1069","endPage":"1080","ipdsId":"IP-063342","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":336974,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-04","publicationStatus":"PW","scienceBaseUri":"58bfd4f4e4b014cc3a3ba4b4","contributors":{"authors":[{"text":"Karsch, Rebekah C.","contributorId":64159,"corporation":false,"usgs":true,"family":"Karsch","given":"Rebekah C.","affiliations":[],"preferred":false,"id":681080,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":681009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rominger, Eric M.","contributorId":91038,"corporation":false,"usgs":true,"family":"Rominger","given":"Eric","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":681081,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goldstein, Elise J.","contributorId":32825,"corporation":false,"usgs":true,"family":"Goldstein","given":"Elise J.","affiliations":[],"preferred":false,"id":681082,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70184325,"text":"70184325 - 2016 - Structured decision making for managing pneumonia epizootics in bighorn sheep","interactions":[],"lastModifiedDate":"2017-03-07T15:53:54","indexId":"70184325","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Structured decision making for managing pneumonia epizootics in bighorn sheep","docAbstract":"Good decision-making is essential to conserving wildlife populations. Although there may be multiple ways to address a problem, perfect solutions rarely exist. Managers are therefore tasked with identifying decisions that will best achieve desired outcomes. Structured decision making (SDM) is a method of decision analysis used to identify the most effective, efficient, and realistic decisions while accounting for values and priorities of the decision maker. The stepwise process includes identifying the management problem, defining objectives for solving the problem, developing alternative approaches to achieve the objectives, and formally evaluating which alternative is most likely to accomplish the objectives. The SDM process can be more effective than informal decision-making because it provides a transparent way to quantitatively evaluate decisions for addressing multiple management objectives while incorporating science, uncertainty, and risk tolerance. To illustrate the application of this process to a management need, we present an SDM-based decision tool developed to identify optimal decisions for proactively managing risk of pneumonia epizootics in bighorn sheep (Ovis canadensis) in Montana. Pneumonia epizootics are a major challenge for managers due to long-term impacts to herds, epistemic uncertainty in timing and location of future epizootics, and consequent difficulty knowing how or when to manage risk. The decision tool facilitates analysis of alternative decisions for how to manage herds based on predictions from a risk model, herd-specific objectives, and predicted costs and benefits of each alternative. Decision analyses for 2 example herds revealed that meeting management objectives necessitates specific approaches unique to each herd. The analyses showed how and under what circumstances the alternatives are optimal compared to other approaches and current management. Managers can be confident that these decisions are effective, efficient, and realistic because they explicitly account for important considerations managers implicitly weigh when making decisions, including competing management objectives, uncertainty in potential outcomes, and risk tolerance.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21088","usgsCitation":"Sells, S.N., Mitchell, M.S., Edwards, V.L., Gude, J., and Anderson, N.J., 2016, Structured decision making for managing pneumonia epizootics in bighorn sheep: Journal of Wildlife Management, v. 80, no. 6, p. 957-969, https://doi.org/10.1002/jwmg.21088.","productDescription":"13 p.","startPage":"957","endPage":"969","ipdsId":"IP-064077","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":336971,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-18","publicationStatus":"PW","scienceBaseUri":"58bfd4f3e4b014cc3a3ba4af","contributors":{"authors":[{"text":"Sells, Sarah N.","contributorId":171706,"corporation":false,"usgs":false,"family":"Sells","given":"Sarah","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":681074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":681010,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edwards, Victoria L.","contributorId":90149,"corporation":false,"usgs":true,"family":"Edwards","given":"Victoria","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":681075,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gude, Justin A.","contributorId":95780,"corporation":false,"usgs":true,"family":"Gude","given":"Justin A.","affiliations":[],"preferred":false,"id":681076,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Neil J.","contributorId":85870,"corporation":false,"usgs":true,"family":"Anderson","given":"Neil","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":681077,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70185052,"text":"70185052 - 2016 - Spawning and hatching of endangered Gila Chub in captivity","interactions":[],"lastModifiedDate":"2017-03-13T15:34:28","indexId":"70185052","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2885,"text":"North American Journal of Aquaculture","active":true,"publicationSubtype":{"id":10}},"title":"Spawning and hatching of endangered Gila Chub in captivity","docAbstract":"Information on reproductive characteristics of the endangered Gila Chub Gila intermedia is largely limited and qualitative, and culture techniques and requirements are virtually unknown. Here we provide the first published data on spawning and selected reproductive and developmental characteristics of Gila Chub. Fish were brought to the laboratory in March 2003 from Sabino Creek, Arizona (12.3°C). Fish were then warmed slowly and spawned at 14.9°C, 10 d after collection. Following this initial spawning, Gila Chub spawned consistently in the laboratory without hormonal, chemical, photoperiod, temperature, or substrate manipulation during all times of the year. Spawns were noted at temperatures ranging from about 15°C to 26°C; however, we noted that Gila Chub spawned less frequently at temperatures above 24°C. Multiple spawning attempts per year per individual are probable. There was a strong, inverse relationship between time to hatch and incubation temperature. The hatch rate of eggs was high (mean = 99.43%), and larval Gila Chub accepted a variety of natural and formulated diets at first feeding. The future of Gila Chub may someday depend in part on hatchery propagation to provide specimens for restocking formerly occupied habitats and establishing refuge populations. Information from our study can aid future efforts to successfully spawn and rear Gila Chub and related species.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15222055.2016.1167798","usgsCitation":"Schultz, A., and Bonar, S.A., 2016, Spawning and hatching of endangered Gila Chub in captivity: North American Journal of Aquaculture, v. 78, no. 4, p. 279-283, https://doi.org/10.1080/15222055.2016.1167798.","productDescription":"5 p.","startPage":"279","endPage":"283","ipdsId":"IP-075850","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":337464,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"78","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-09","publicationStatus":"PW","scienceBaseUri":"58c7afa1e4b0849ce9795ea6","contributors":{"authors":[{"text":"Schultz, Andrew A.","contributorId":189228,"corporation":false,"usgs":false,"family":"Schultz","given":"Andrew A.","affiliations":[],"preferred":false,"id":684152,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":684080,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70176357,"text":"70176357 - 2016 - sbtools: A package connecting R to cloud-based data for collaborative online research","interactions":[],"lastModifiedDate":"2020-12-21T16:12:53.569339","indexId":"70176357","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5208,"text":"The R Journal ","active":true,"publicationSubtype":{"id":10}},"title":"sbtools: A package connecting R to cloud-based data for collaborative online research","docAbstract":"The adoption of high-quality tools for collaboration and reproducible research such as R and Github is becoming more common in many research fields. While Github and other version management systems are excellent resources, they were originally designed to handle code and scale poorly to large text-based or binary datasets. A number of scientific data repositories are coming online and are often focused on dataset archival and publication. To handle collaborative workflows using large scientific datasets, there is increasing need to connect cloud-based online data storage to R. In this article, we describe how the new R package sbtools enables direct access to the advanced online data functionality provided by ScienceBase, the U.S. Geological Survey’s online scientific data storage platform.","language":"English","publisher":"The R Foundation","doi":"10.32614/RJ-2016-029","usgsCitation":"Winslow, L., Chamberlain, S., Appling, A., and Read, J.S., 2016, sbtools: A package connecting R to cloud-based data for collaborative online research: The R Journal , v. 8, no. 1, p. 387-398, https://doi.org/10.32614/RJ-2016-029.","productDescription":"11 p.","startPage":"387","endPage":"398","ipdsId":"IP-075498","costCenters":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"links":[{"id":470698,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.32614/rj-2016-029","text":"Publisher Index Page"},{"id":438578,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P912NGFV","text":"USGS data release","linkHelpText":"sbtools: USGS ScienceBase Tools"},{"id":328439,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d3dd42e4b0571647d19aee","contributors":{"authors":[{"text":"Winslow, Luke 0000-0002-8602-5510 lwinslow@usgs.gov","orcid":"https://orcid.org/0000-0002-8602-5510","contributorId":168947,"corporation":false,"usgs":true,"family":"Winslow","given":"Luke","email":"lwinslow@usgs.gov","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":648500,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chamberlain, Scott","contributorId":174527,"corporation":false,"usgs":false,"family":"Chamberlain","given":"Scott","email":"","affiliations":[],"preferred":false,"id":648503,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Appling, Alison P. aappling@usgs.gov","contributorId":150192,"corporation":false,"usgs":true,"family":"Appling","given":"Alison P.","email":"aappling@usgs.gov","affiliations":[],"preferred":false,"id":648504,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Read, Jordan S. 0000-0002-3888-6631 jread@usgs.gov","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":4453,"corporation":false,"usgs":true,"family":"Read","given":"Jordan","email":"jread@usgs.gov","middleInitial":"S.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":648505,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70184320,"text":"70184320 - 2016 - Teleconnected ocean forcing of Western North American droughts and pluvials during the last millennium","interactions":[],"lastModifiedDate":"2017-03-07T16:05:31","indexId":"70184320","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Teleconnected ocean forcing of Western North American droughts and pluvials during the last millennium","docAbstract":"Western North America (WNA) is rich in hydroclimate reconstructions, yet questions remain about the causes of decadal-to-multidecadal hydroclimate variability. Teleconnection patterns preserved in annually-resolved tree-ring reconstructed drought maps, and anomalies in a global network of proxy sea surface temperature (SST) reconstructions, were used to reassess the evidence linking ocean forcing to WNA hydroclimate variability over the past millennium. Potential forcing mechanisms of the Medieval Climate Anomaly (MCA) and individual drought and pluvial events—including two multidecadal-length MCA pluvials—were evaluated. We show strong teleconnection patterns occurred during the driest (wettest) years within persistent droughts (pluvials), implicating SSTs as a potent hydroclimate forcing mechanism. The role of the SSTs on longer timescales is more complex. Pacific teleconnection patterns show little long-term change, whereas low-resolution SST reconstructions vary over decades to centuries. While weaker than the tropical Pacific teleconnections, North Atlantic teleconnection patterns and SST reconstructions also show links to WNA droughts and pluvials, and may in part account for longer-term WNA hydroclimate changes. Nonetheless, evidence linking WNA hydroclimate to SSTs still remains sparse and nuanced—especially over long-timescales with a broader range of hydroclimatic variability than characterized during the 20th century.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2016.06.017","usgsCitation":"Routson, C.C., Woodhouse, C.A., Overpeck, J.T., Betancourt, J.L., and McKay, N., 2016, Teleconnected ocean forcing of Western North American droughts and pluvials during the last millennium: Quaternary Science Reviews, v. 146, p. 238-250, https://doi.org/10.1016/j.quascirev.2016.06.017.","productDescription":"13 p.","startPage":"238","endPage":"250","ipdsId":"IP-076814","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":470711,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quascirev.2016.06.017","text":"Publisher Index Page"},{"id":336979,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"146","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58bfd4f5e4b014cc3a3ba4bf","contributors":{"authors":[{"text":"Routson, Cody C. 0000-0001-8694-7809","orcid":"https://orcid.org/0000-0001-8694-7809","contributorId":187600,"corporation":false,"usgs":false,"family":"Routson","given":"Cody","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":680997,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woodhouse, Connie A.","contributorId":187601,"corporation":false,"usgs":false,"family":"Woodhouse","given":"Connie","email":"","middleInitial":"A.","affiliations":[{"id":32413,"text":"University of Arizona, Tucson, AZ, USA, 85721","active":true,"usgs":false}],"preferred":false,"id":680998,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Overpeck, Jonathan T.","contributorId":146162,"corporation":false,"usgs":false,"family":"Overpeck","given":"Jonathan","email":"","middleInitial":"T.","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":680999,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":680996,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McKay, Nicholas P.","contributorId":187602,"corporation":false,"usgs":false,"family":"McKay","given":"Nicholas P.","affiliations":[],"preferred":false,"id":681000,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70182794,"text":"70182794 - 2016 - Smokey comes of age: Unmanned aerial systems for fire management","interactions":[],"lastModifiedDate":"2017-03-01T11:41:00","indexId":"70182794","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Smokey comes of age: Unmanned aerial systems for fire management","docAbstract":"During the past century, fire management has focused on techniques both to protect human communities from catastrophic wildfire and to maintain fire-dependent ecological systems. However, despite a large and increasing allocation of resources and personnel to achieve these goals, fire management objectives at regional to global scales are not being met. Current fire management techniques are clearly inadequate for the challenges faced by fire managers, and technological innovations are needed. Advances in unmanned aerial systems (UAS) technology provide opportunities for innovation in fire management and science. In many countries, fire management organizations are beginning to explore the potential of UAS for monitoring fires. We have taken the next step and developed a prototype that can precisely ignite fires as part of wildfire suppression tactics or prescribed fires (fire intentionally ignited within predetermined conditions to reduce hazardous fuels, improve habitat, or mitigate for large wildfires). We discuss the potential for these technologies to benefit fire management activities, while acknowledging the sizeable sociopolitical barriers that prevent their immediate broad application.
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","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12389","usgsCitation":"Moore, R.B., and Dewald, T.A., 2016, The road to NHDPlus — Advancements in digital stream networks and associated catchments: Journal of the American Water Resources Association, v. 52, no. 4, p. 890-900, https://doi.org/10.1111/1752-1688.12389.","productDescription":"11 p.","startPage":"890","endPage":"900","ipdsId":"IP-067213","costCenters":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"links":[{"id":482073,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.12389","text":"Publisher Index Page"},{"id":349062,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"4","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-11","publicationStatus":"PW","scienceBaseUri":"5a60fd04e4b06e28e9c24672","contributors":{"authors":[{"text":"Moore, Richard B. rmoore@usgs.gov","contributorId":1464,"corporation":false,"usgs":true,"family":"Moore","given":"Richard","email":"rmoore@usgs.gov","middleInitial":"B.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":716213,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dewald, Thomas A.","contributorId":198480,"corporation":false,"usgs":false,"family":"Dewald","given":"Thomas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":716214,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70187756,"text":"70187756 - 2016 - Carbon and energy fluxes in cropland ecosystems: a model-data comparison","interactions":[],"lastModifiedDate":"2018-02-21T17:44:24","indexId":"70187756","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Carbon and energy fluxes in cropland ecosystems: a model-data comparison","docAbstract":"Croplands are highly productive ecosystems that contribute to land–atmosphere exchange of carbon, energy, and water during their short growing seasons. We evaluated and compared net ecosystem exchange (NEE), latent heat flux (LE), and sensible heat flux (H) simulated by a suite of ecosystem models at five agricultural eddy covariance flux tower sites in the central United States as part of the North American Carbon Program Site Synthesis project. Most of the models overestimated H and underestimated LE during the growing season, leading to overall higher Bowen ratios compared to the observations. Most models systematically under predicted NEE, especially at rain-fed sites. Certain crop-specific models that were developed considering the high productivity and associated physiological changes in specific crops better predicted the NEE and LE at both rain-fed and irrigated sites. Models with specific parameterization for different crops better simulated the inter-annual variability of NEE for maize-soybean rotation compared to those models with a single generic crop type. Stratification according to basic model formulation and phenological methodology did not explain significant variation in model performance across these sites and crops. The under prediction of NEE and LE and over prediction of H by most of the models suggests that models developed and parameterized for natural ecosystems cannot accurately predict the more robust physiology of highly bred and intensively managed crop ecosystems. When coupled in Earth System Models, it is likely that the excessive physiological stress simulated in many land surface component models leads to overestimation of temperature and atmospheric boundary layer depth, and underestimation of humidity and CO2 seasonal uptake over agricultural regions.
","language":"English","publisher":"Springer","doi":"10.1007/s10533-016-0219-3","usgsCitation":"Lokupitiya, E., Denning, A.S., Schaefer, K., Ricciuto, D., Anderson, R., Arain, M.A., Baker, I., Barr, A.G., Chen, G., Chen, J., Ciais, P., Cook, D., Dietze, M., El Maayar, M., Fischer, M., Grant, R., Hollinger, D., Izaurralde, C., Jain, A., Kucharik, C., Li, Z., Liu, S., Li, L., Matamala, R., Peylin, P., Price, D., Running, S., Sahoo, A., Sprintsin, M., Suyker, A., Tian, H., Tonitto, C., Torn, M., Verbeeck, H., Verma, S., and Xue, Y., 2016, Carbon and energy fluxes in cropland ecosystems: a model-data comparison: Biogeochemistry, v. 128, no. 1, p. 53-76, https://doi.org/10.1007/s10533-016-0219-3.","productDescription":"14 p.","startPage":"53","endPage":"76","ipdsId":"IP-075638","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":470700,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1379544","text":"External Repository"},{"id":341422,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"128","issue":"1","noUsgsAuthors":false,"publicationDate":"2016-06-03","publicationStatus":"PW","scienceBaseUri":"593e25a3e4b0764e6c61b738","contributors":{"authors":[{"text":"Lokupitiya, E.","contributorId":192091,"corporation":false,"usgs":false,"family":"Lokupitiya","given":"E.","email":"","affiliations":[],"preferred":false,"id":695469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Denning, A. 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Here we describe a novel cell assay, based on the translocation of a green fluorescent protein (GFP)—tagged chimeric molecule of glucocorticoid receptor (GR) and the thyroid receptor beta (TRβ) from the cytoplasm to the nucleus in the presence of TR ligands. Unlike the constitutively nuclear TRβ, this GFP-GR-TRβ chimera is cytoplasmic in the absence of hormone while translocating to the nucleus in a time- and concentration-dependent manner upon stimulation with triiodothyronine (T3) and thyroid hormone analogue, TRIAC, while the reverse triiodothyronine (3,3′,5′-triiodothyronine, or rT3) was inactive. Moreover, GFP-GR-TRβ chimera does not show any cross-reactivity with the GR-activating hormones, thus providing a clean system for the screening of TR beta-interacting EDCs. Using this assay, we demonstrated that Bisphenol A (BPA) and 3,3′,5,5′-Tetrabromobisphenol (TBBPA) induced GFP-GR-TRβ translocation at micro molar concentrations. We screened over 100 concentrated water samples from different geographic locations in the United States and detected a low, but reproducible contamination in 53% of the samples. This system provides a novel high-throughput approach for screening for endocrine disrupting chemicals (EDCs) interacting with TR beta.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.tox.2016.08.012","usgsCitation":"Stavreva, D., Varticovski, L., Levkova, L., George, A.A., Davis, L., Pegoraro, G., Blazer, V., Iwanowicz, L., and Hager, G., 2016, Novel cell-based assay for detection of thyroid receptor beta-interacting environmental contaminants: Toxicology, v. 368-369, p. 69-79, https://doi.org/10.1016/j.tox.2016.08.012.","productDescription":"11 p.","startPage":"69","endPage":"79","ipdsId":"IP-067692","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":470708,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://doi.org/10.1016/j.tox.2016.08.012","text":"External Repository"},{"id":335866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"368-369","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ad5fc1e4b01ccd54f8b51f","contributors":{"authors":[{"text":"Stavreva, Diana A.","contributorId":69039,"corporation":false,"usgs":true,"family":"Stavreva","given":"Diana A.","affiliations":[],"preferred":false,"id":669956,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Varticovski, Lyuba","contributorId":71857,"corporation":false,"usgs":true,"family":"Varticovski","given":"Lyuba","email":"","affiliations":[],"preferred":false,"id":669957,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Levkova, Ludmila","contributorId":181906,"corporation":false,"usgs":false,"family":"Levkova","given":"Ludmila","email":"","affiliations":[],"preferred":false,"id":669958,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"George, Anuja A.","contributorId":84651,"corporation":false,"usgs":true,"family":"George","given":"Anuja","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":669959,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davis, Luke","contributorId":181908,"corporation":false,"usgs":false,"family":"Davis","given":"Luke","email":"","affiliations":[],"preferred":false,"id":669960,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pegoraro, Gianluca","contributorId":181909,"corporation":false,"usgs":false,"family":"Pegoraro","given":"Gianluca","email":"","affiliations":[],"preferred":false,"id":669961,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":669962,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Iwanowicz, Luke R. 0000-0002-1197-6178 liwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":150383,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke R. ","email":"liwanowicz@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":669955,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hager, Gordon L.","contributorId":66574,"corporation":false,"usgs":true,"family":"Hager","given":"Gordon L.","affiliations":[],"preferred":false,"id":669963,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70175241,"text":"70175241 - 2016 - Bigheaded carps of the Yangtze and Mississippi Rivers: Biology, status, and management","interactions":[],"lastModifiedDate":"2016-08-31T13:46:10","indexId":"70175241","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Bigheaded carps of the Yangtze and Mississippi Rivers: Biology, status, and management","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Fishery resources, environment, and conservation in the Mississippi and Yangtze (Changjiang) River Basins","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"American Fisheries Society Symposia 84","language":"English","publisher":"Americal Fisheries Society","publisherLocation":"Bethseda, MD","usgsCitation":"Chapman, D., Chen, D., Hoover, J.J., Du, H., Phelps, Q.E., Shen, L., Wang, C., Wei, Q., and Zhang, H., 2016, Bigheaded carps of the Yangtze and Mississippi Rivers: Biology, status, and management, in Fishery resources, environment, and conservation in the Mississippi and Yangtze (Changjiang) River Basins, p. 113-126.","productDescription":"14 p.","startPage":"113","endPage":"126","ipdsId":"IP-074103","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":328139,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c7ffafe4b0f2f0cebfc225","contributors":{"editors":[{"text":"Chen, Y.","contributorId":7019,"corporation":false,"usgs":true,"family":"Chen","given":"Y.","email":"","affiliations":[],"preferred":false,"id":647695,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Chapman, D.C.","contributorId":101825,"corporation":false,"usgs":true,"family":"Chapman","given":"D.C.","email":"","affiliations":[],"preferred":false,"id":647696,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Jackson, J.","contributorId":174192,"corporation":false,"usgs":false,"family":"Jackson","given":"J.","affiliations":[],"preferred":false,"id":647697,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Chen, D.","contributorId":174193,"corporation":false,"usgs":false,"family":"Chen","given":"D.","affiliations":[],"preferred":false,"id":647698,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Kilgore, J.","contributorId":174195,"corporation":false,"usgs":false,"family":"Kilgore","given":"J.","email":"","affiliations":[],"preferred":false,"id":647699,"contributorType":{"id":2,"text":"Editors"},"rank":5},{"text":"Phelps, Q.","contributorId":174196,"corporation":false,"usgs":false,"family":"Phelps","given":"Q.","email":"","affiliations":[],"preferred":false,"id":647700,"contributorType":{"id":2,"text":"Editors"},"rank":6},{"text":"Eggleton, M.","contributorId":174197,"corporation":false,"usgs":false,"family":"Eggleton","given":"M.","email":"","affiliations":[],"preferred":false,"id":647701,"contributorType":{"id":2,"text":"Editors"},"rank":7}],"authors":[{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":644497,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chen, Daqing","contributorId":173395,"corporation":false,"usgs":false,"family":"Chen","given":"Daqing","email":"","affiliations":[{"id":27222,"text":"Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences","active":true,"usgs":false}],"preferred":false,"id":644498,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoover, Jan J.","contributorId":173400,"corporation":false,"usgs":false,"family":"Hoover","given":"Jan","email":"","middleInitial":"J.","affiliations":[{"id":27223,"text":"U. 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Army Engineer Research and Development Center, Vicksburg, MS","active":true,"usgs":false}],"preferred":false,"id":644503,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Du, Hao","contributorId":173396,"corporation":false,"usgs":false,"family":"Du","given":"Hao","email":"","affiliations":[{"id":27222,"text":"Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences","active":true,"usgs":false}],"preferred":false,"id":644499,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Phelps, Quinton E.","contributorId":173401,"corporation":false,"usgs":false,"family":"Phelps","given":"Quinton","email":"","middleInitial":"E.","affiliations":[{"id":27224,"text":"Big Rivers and Wetlands Field Station, Missouri Department of Conservation, Jackson, MO","active":true,"usgs":false}],"preferred":false,"id":644504,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shen, Li","contributorId":173402,"corporation":false,"usgs":false,"family":"Shen","given":"Li","email":"","affiliations":[{"id":27222,"text":"Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences","active":true,"usgs":false}],"preferred":false,"id":644505,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wang, Chenyou","contributorId":173397,"corporation":false,"usgs":false,"family":"Wang","given":"Chenyou","email":"","affiliations":[{"id":27222,"text":"Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences","active":true,"usgs":false}],"preferred":false,"id":644500,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wei, Qiwei","contributorId":173398,"corporation":false,"usgs":false,"family":"Wei","given":"Qiwei","email":"","affiliations":[{"id":27222,"text":"Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences","active":true,"usgs":false}],"preferred":false,"id":644501,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zhang, Hui","contributorId":173399,"corporation":false,"usgs":false,"family":"Zhang","given":"Hui","email":"","affiliations":[{"id":27222,"text":"Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences","active":true,"usgs":false}],"preferred":false,"id":644502,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70178060,"text":"70178060 - 2016 - Advancing environmental flow science: Developing frameworks for altered landscapes and integrating efforts across disciplines.","interactions":[],"lastModifiedDate":"2016-11-01T16:14:47","indexId":"70178060","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Advancing environmental flow science: Developing frameworks for altered landscapes and integrating efforts across disciplines.","docAbstract":"Environmental flows represent a legal mechanism to balance existing and future water uses and sustain non-use values. Here, we identify current challenges, provide examples where they are important, and suggest research advances that would benefit environmental flow science. Specifically, environmental flow science would benefit by (1) developing approaches to address streamflow needs in highly modified landscapes where historic flows do not provide reasonable comparisons, (2) integrating water quality needs where interactions are apparent with quantity but not necessarily the proximate factor of the ecological degradation, especially as frequency and magnitudes of inflows to bays and estuaries, (3) providing a better understanding of the ecological needs of native species to offset the often unintended consequences of benefiting non-native species or their impact on flows, (4) improving our understanding of the non-use economic value to balance consumptive economic values, and (5) increasing our understanding of the stakeholder socioeconomic spatial distribution of attitudes and perceptions across the landscape. Environmental flow science is still an emerging interdisciplinary field and by integrating socioeconomic disciplines and developing new frameworks to accommodate our altered landscapes, we should help advance environmental flow science and likely increase successful implementation of flow standards.
A novel form of urbanization, low impact development (LID), aims to engineer systems that replicate natural hydrologic functioning, in part by infiltrating stormwater close to the impervious surfaces that generate it. We sought to statistically evaluate changes in a base flow regime because of urbanization with LID, specifically changes in base flow magnitude, seasonality, and rate of change. We used a case study watershed in Clarksburg, Maryland, in which streamflow was monitored during whole-watershed urbanization from forest and agricultural to suburban residential development using LID. The 1.11-km2 watershed contains 73 infiltration-focused stormwater facilities, including bioretention facilities, dry wells, and dry swales. We examined annual and monthly flow during and after urbanization (2004–2014) and compared alterations to nearby forested and urban control watersheds. We show that total streamflow and base flow increased in the LID watershed during urbanization as compared with control watersheds. The LID watershed had more gradual storm recessions after urbanization and attenuated seasonality in base flow. These flow regime changes may be because of a reduction in evapotranspiration because of the overall decrease in vegetative cover with urbanization and the increase in point sources of recharge. Precipitation that may once have infiltrated soil, been stored in soil moisture to be eventually transpired in a forested landscape, may now be recharged and become base flow. The transfer of evapotranspiration to base flow is an unintended consequence to the water balance of LID.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.10808","usgsCitation":"Bhaskar, A., Hogan, D.M., and Archfield, S.A., 2016, Urban base flow with low impact development: Hydrological Processes, v. 30, no. 18, p. 3156-3171, https://doi.org/10.1002/hyp.10808.","productDescription":"16 p.","startPage":"3156","endPage":"3171","ipdsId":"IP-069104","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":470699,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.10808","text":"Publisher Index Page"},{"id":352262,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"18","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-26","publicationStatus":"PW","scienceBaseUri":"5afee9ade4b0da30c1bfc57e","contributors":{"authors":[{"text":"Bhaskar, Aditi abhaskar@usgs.gov","contributorId":146249,"corporation":false,"usgs":true,"family":"Bhaskar","given":"Aditi","email":"abhaskar@usgs.gov","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":730226,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hogan, Dianna M. 0000-0003-1492-4514 dhogan@usgs.gov","orcid":"https://orcid.org/0000-0003-1492-4514","contributorId":2299,"corporation":false,"usgs":true,"family":"Hogan","given":"Dianna","email":"dhogan@usgs.gov","middleInitial":"M.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":730227,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Archfield, Stacey A. 0000-0002-9011-3871 sarch@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-3871","contributorId":1874,"corporation":false,"usgs":true,"family":"Archfield","given":"Stacey","email":"sarch@usgs.gov","middleInitial":"A.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":730228,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70185022,"text":"70185022 - 2016 - Fortnightly modulation of San Andreas tremor and low-frequency earthquakes","interactions":[],"lastModifiedDate":"2017-03-14T13:50:59","indexId":"70185022","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Fortnightly modulation of San Andreas tremor and low-frequency earthquakes","docAbstract":"Earth tides modulate tremor and low-frequency earthquakes (LFEs) on faults in the vicinity of the brittle−ductile (seismic−aseismic) transition. The response to the tidal stress carries otherwise inaccessible information about fault strength and rheology. Here, we analyze the LFE response to the fortnightly tide, which modulates the amplitude of the daily tidal stress over a 14-d cycle. LFE rate is highest during the waxing fortnightly tide, with LFEs most strongly promoted when the daily stress exceeds the previous peak stress by the widest margin. This pattern implies a threshold failure process, with slip initiated when stress exceeds the local fault strength. Variations in sensitivity to the fortnightly modulation may reflect the degree of stress concentration on LFE-producing brittle asperities embedded within an otherwise aseismic fault.
","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.1524316113","usgsCitation":"van der Elst, N., Delorey, A., Shelly, D.R., and Johnson, P., 2016, Fortnightly modulation of San Andreas tremor and low-frequency earthquakes: Proceedings of the National Academy of Sciences, v. 113, no. 31, p. 8601-8605, https://doi.org/10.1073/pnas.1524316113.","productDescription":"5 p.","startPage":"8601","endPage":"8605","ipdsId":"IP-069380","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":470703,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.1524316113","text":"Publisher Index Page"},{"id":337515,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Andreas Fault","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120,\n 36.5\n ],\n [\n -121.25,\n 36.5\n ],\n [\n -121.25,\n 35.5\n ],\n [\n -120,\n 35.5\n ],\n [\n -120,\n 36.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"113","issue":"31","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-18","publicationStatus":"PW","scienceBaseUri":"58c90127e4b0849ce97abce3","contributors":{"authors":[{"text":"van der Elst, Nicholas 0000-0002-3812-1153 nvanderelst@usgs.gov","orcid":"https://orcid.org/0000-0002-3812-1153","contributorId":147858,"corporation":false,"usgs":true,"family":"van der Elst","given":"Nicholas","email":"nvanderelst@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":683983,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Delorey, Andrew","contributorId":189149,"corporation":false,"usgs":false,"family":"Delorey","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":683984,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shelly, David R. dshelly@usgs.gov","contributorId":2978,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":683986,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Paul","contributorId":189150,"corporation":false,"usgs":false,"family":"Johnson","given":"Paul","email":"","affiliations":[],"preferred":false,"id":683985,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70185053,"text":"70185053 - 2016 - Does resolution of flow field observation influence apparent habitat use and energy expenditure in juvenile coho salmon?","interactions":[],"lastModifiedDate":"2017-11-22T17:20:36","indexId":"70185053","displayToPublicDate":"2016-08-01T00:00:00","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":"Does resolution of flow field observation influence apparent habitat use and energy expenditure in juvenile coho salmon?","docAbstract":"This study investigated how the resolution of observation influences interpretation of how fish, juvenile Coho Salmon (Oncorhynchus kisutch), exploit the hydraulic environment in streams. Our objectives were to evaluate how spatial resolution of the flow field observation influenced: (1) the velocities considered to be representative of habitat units; (2) patterns of use of the hydraulic environment by fish; and (3) estimates of energy expenditure. We addressed these objectives using observations within a 1:1 scale physical model of a full-channel log jam in an outdoor experimental stream. Velocities were measured with Acoustic Doppler Velocimetry at a 10 cm grid spacing, whereas fish locations and tailbeat frequencies were documented over time using underwater videogrammetry. Results highlighted that resolution of observation did impact perceived habitat use and energy expenditure, as did the location of measurement within habitat units and the use of averaging to summarize velocities within a habitat unit. In this experiment, the range of velocities and energy expenditure estimates increased with coarsening resolution (grid spacing from 10 to 100 cm), reducing the likelihood of measuring the velocities locally experienced by fish. In addition, the coarser resolutions contributed to fish appearing to select velocities that were higher than what was measured at finer resolutions. These findings indicate the need for careful attention to and communication of resolution of observation in investigating the hydraulic environment and in determining the habitat needs and bioenergetics of aquatic biota.
","language":"English","publisher":"AGU Publications","doi":"10.1002/2015WR018501","usgsCitation":"Tullos, D.D., Walter, C., and Dunham, J.B., 2016, Does resolution of flow field observation influence apparent habitat use and energy expenditure in juvenile coho salmon?: Water Resources Research, v. 52, no. 8, p. 5938-5950, https://doi.org/10.1002/2015WR018501.","productDescription":"13 p.","startPage":"5938","endPage":"5950","ipdsId":"IP-075959","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":337462,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-08","publicationStatus":"PW","scienceBaseUri":"58c7afa1e4b0849ce9795ea4","contributors":{"authors":[{"text":"Tullos, Desiree D.","contributorId":176667,"corporation":false,"usgs":false,"family":"Tullos","given":"Desiree","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":684082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walter, Cara","contributorId":189188,"corporation":false,"usgs":false,"family":"Walter","given":"Cara","email":"","affiliations":[],"preferred":false,"id":684083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":147808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","email":"jdunham@usgs.gov","middleInitial":"B.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":684081,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70195837,"text":"70195837 - 2016 - Insights into plant water uptake from xylem-water isotope measurements in two tropical catchments with contrasting moisture conditions","interactions":[],"lastModifiedDate":"2018-03-06T11:36:31","indexId":"70195837","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Insights into plant water uptake from xylem-water isotope measurements in two tropical catchments with contrasting moisture conditions","docAbstract":"Water transpired by trees has long been assumed to be sourced from the same subsurface water stocks that contribute to groundwater recharge and streamflow. However, recent investigations using dual water stable isotopes have shown an apparent ecohydrological separation between tree-transpired water and stream water. Here we present evidence for such ecohydrological separation in two tropical environments in Puerto Rico where precipitation seasonality is relatively low and where precipitation is positively correlated with primary productivity. We determined the stable isotope signature of xylem water of 30 mahogany (Swietenia spp.) trees sampled during two periods with contrasting moisture status. Our results suggest that the separation between transpiration water and groundwater recharge/streamflow water might be related less to the temporal phasing of hydrologic inputs and primary productivity, and more to the fundamental processes that drive evaporative isotopic enrichment of residual soil water within the soil matrix. The lack of an evaporative signature of both groundwater and streams in the study area suggests that these water balance components have a water source that is transported quickly to deeper subsurface storage compared to waters that trees use. A Bayesian mixing model used to partition source water proportions of xylem water showed that groundwater contribution was greater for valley-bottom, riparian trees than for ridge-top trees. Groundwater contribution was also greater at the xeric site than at the mesic–hydric site. These model results (1) underline the utility of a simple linear mixing model, implemented in a Bayesian inference framework, in quantifying source water contributions at sites with contrasting physiographic characteristics, and (2) highlight the informed judgement that should be made in interpreting mixing model results, of import particularly in surveying groundwater use patterns by vegetation from regional to global scales.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.10841","usgsCitation":"Evaristo, J., McDonnell, J.J., Scholl, M.A., Bruijnzeel, L., and Chun, K.P., 2016, Insights into plant water uptake from xylem-water isotope measurements in two tropical catchments with contrasting moisture conditions: Hydrological Processes, v. 30, no. 18, p. 3210-3227, https://doi.org/10.1002/hyp.10841.","productDescription":"18 p.","startPage":"3210","endPage":"3227","ipdsId":"IP-069760","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":352261,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"18","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-27","publicationStatus":"PW","scienceBaseUri":"5afee9ade4b0da30c1bfc57c","contributors":{"authors":[{"text":"Evaristo, Jaivime","contributorId":202933,"corporation":false,"usgs":false,"family":"Evaristo","given":"Jaivime","email":"","affiliations":[{"id":13248,"text":"University of Saskatchewan","active":true,"usgs":false}],"preferred":false,"id":730230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDonnell, Jeffrey J.","contributorId":202934,"corporation":false,"usgs":false,"family":"McDonnell","given":"Jeffrey","email":"","middleInitial":"J.","affiliations":[{"id":36551,"text":"University of Saskatchewan, Canada, and University of Aberdeen, Scotland","active":true,"usgs":false}],"preferred":false,"id":730231,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scholl, Martha A. 0000-0001-6994-4614 mascholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6994-4614","contributorId":1920,"corporation":false,"usgs":true,"family":"Scholl","given":"Martha","email":"mascholl@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":730229,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bruijnzeel, L. Adrian","contributorId":202935,"corporation":false,"usgs":false,"family":"Bruijnzeel","given":"L. Adrian","affiliations":[{"id":36552,"text":"King's College London","active":true,"usgs":false}],"preferred":false,"id":730232,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chun, Kwok P.","contributorId":202936,"corporation":false,"usgs":false,"family":"Chun","given":"Kwok","email":"","middleInitial":"P.","affiliations":[{"id":36553,"text":"Hong Kong Baptist University","active":true,"usgs":false}],"preferred":false,"id":730233,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70185030,"text":"70185030 - 2016 - Seasonal movements and habitat use of Potamodromous Rainbow Trout across a complex Alaska riverscape","interactions":[],"lastModifiedDate":"2017-03-14T12:35:17","indexId":"70185030","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal movements and habitat use of Potamodromous Rainbow Trout across a complex Alaska riverscape","docAbstract":"Potamodromous Rainbow Trout Oncorhynchus mykiss are an important ecological and recreational resource in freshwater ecosystems of Alaska, and increased human development, hydroelectric projects, and reduced escapement of Chinook Salmon Oncorhynchus tshawytscha may threaten their populations. We used aerial and on-the-ground telemetry tracking, a digital landscape model, and resource selection functions to characterize seasonal movements and habitat use of 232 adult (>400 mm FL) Rainbow Trout across the complex, large (31,221 km2) Susitna River basin of south-central Alaska during 2003–2004 and 2013–2014. We found that fish overwintered in main-stem habitats near tributary mouths from November to April. After ice-out in May, fish ascended tributaries up to 51 km to spawn and afterward moved downstream to lower tributary reaches, assumedly to intercept egg and flesh subsidies provided by spawning salmonids in July and August. Fish transitioned back to main-stem overwintering habitats at the onset of autumn when salmonid spawning waned. Fidelity to tributaries where fish were initially tagged varied across seasons but was high (>0.75) in three out of four drainages. Model-averaged resource selection functions suggested that Rainbow Trout habitat use varied seasonally; fish selected low-gradient, sinuous, main-stem stream reaches in the winter, reaches with suitably sized substrate during spawning, larger reaches during the feeding season prior to the arrival of spawning salmonids, and reaches with high Chinook Salmon spawning habitat potential following the arrival of adult fish. We found little difference in movement patterns between males and females among a subset of fish for which sex was determined using genetic analysis. As most Rainbow Trout undertake extensive movements within and among tributaries and make use of a variety of seasonal habitats to complete their life histories, it will be critical to take a basinwide approach to their management (i.e., habitat protection and angling bag limits) in light of anticipated land-use changes.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2016.1202320","usgsCitation":"Fraley, K.M., Falke, J.A., Yanusz, R., and Ivey, S.S., 2016, Seasonal movements and habitat use of Potamodromous Rainbow Trout across a complex Alaska riverscape: Transactions of the American Fisheries Society, v. 145, no. 5, p. 1077-1092, https://doi.org/10.1080/00028487.2016.1202320.","productDescription":"16 p.","startPage":"1077","endPage":"1092","ipdsId":"IP-071545","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":337502,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"145","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-12","publicationStatus":"PW","scienceBaseUri":"58c90126e4b0849ce97abce1","contributors":{"authors":[{"text":"Fraley, Kevin M.","contributorId":189243,"corporation":false,"usgs":false,"family":"Fraley","given":"Kevin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":684211,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":684009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yanusz, Richard","contributorId":189244,"corporation":false,"usgs":false,"family":"Yanusz","given":"Richard","email":"","affiliations":[],"preferred":false,"id":684212,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ivey, Sam S.","contributorId":105190,"corporation":false,"usgs":true,"family":"Ivey","given":"Sam","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":684213,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70185063,"text":"70185063 - 2016 - Landscape effects of wildfire on permafrost distribution in interior Alaska derived from remote sensing","interactions":[],"lastModifiedDate":"2018-06-19T19:48:56","indexId":"70185063","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Landscape effects of wildfire on permafrost distribution in interior Alaska derived from remote sensing","docAbstract":"Climate change coupled with an intensifying wildfire regime is becoming an important driver of permafrost loss and ecosystem change in the northern boreal forest. There is a growing need to understand the effects of fire on the spatial distribution of permafrost and its associated ecological consequences. We focus on the effects of fire a decade after disturbance in a rocky upland landscape in the interior Alaskan boreal forest. Our main objectives were to (1) map near-surface permafrost distribution and drainage classes and (2) analyze the controls over landscape-scale patterns of post-fire permafrost degradation. Relationships among remote sensing variables and field-based data on soil properties (temperature, moisture, organic layer thickness) and vegetation (plant community composition) were analyzed using correlation, regression, and ordination analyses. The remote sensing data we considered included spectral indices from optical datasets (Landsat 7 Enhanced Thematic Mapper Plus (ETM+) and Landsat 8 Operational Land Imager (OLI)), the principal components of a time series of radar backscatter (Advanced Land Observing Satellite—Phased Array type L-band Synthetic Aperture Radar (ALOS-PALSAR)), and topographic variables from a Light Detection and Ranging (LiDAR)-derived digital elevation model (DEM). We found strong empirical relationships between the normalized difference infrared index (NDII) and post-fire vegetation, soil moisture, and soil temperature, enabling us to indirectly map permafrost status and drainage class using regression-based models. The thickness of the insulating surface organic layer after fire, a measure of burn severity, was an important control over the extent of permafrost degradation. According to our classifications, 90% of the area considered to have experienced high severity burn (using the difference normalized burn ratio (dNBR)) lacked permafrost after fire. Permafrost thaw, in turn, likely increased drainage and resulted in drier surface soils. Burn severity also influenced plant community composition, which was tightly linked to soil temperature and moisture. Overall, interactions between burn severity, topography, and vegetation appear to control the distribution of near-surface permafrost and associated drainage conditions after disturbance.
","language":"English","publisher":"MDPI","doi":"10.3390/rs8080654","usgsCitation":"Brown, D.R., Jorgenson, M., Kielland, K., Verbyla, D.L., Prakash, A., and Koch, J.C., 2016, Landscape effects of wildfire on permafrost distribution in interior Alaska derived from remote sensing: Remote Sensing, v. 8, no. 8, p. 1-22, https://doi.org/10.3390/rs8080654.","productDescription":"Article 654; 22 p.","startPage":"1","endPage":"22","ipdsId":"IP-077121","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":470694,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs8080654","text":"Publisher Index Page"},{"id":337471,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"8","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-12","publicationStatus":"PW","scienceBaseUri":"58c7afa1e4b0849ce9795ea2","contributors":{"authors":[{"text":"Brown, Dana R. N.","contributorId":140386,"corporation":false,"usgs":false,"family":"Brown","given":"Dana","email":"","middleInitial":"R. N.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":684126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jorgenson, M. Torre","contributorId":127675,"corporation":false,"usgs":false,"family":"Jorgenson","given":"M. Torre","affiliations":[],"preferred":false,"id":684127,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kielland, Knut","contributorId":189214,"corporation":false,"usgs":false,"family":"Kielland","given":"Knut","email":"","affiliations":[],"preferred":false,"id":684128,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Verbyla, David L.","contributorId":84611,"corporation":false,"usgs":true,"family":"Verbyla","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":684129,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Prakash, Anupma","contributorId":189216,"corporation":false,"usgs":false,"family":"Prakash","given":"Anupma","email":"","affiliations":[{"id":13662,"text":"Geophysical Institute, University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":684130,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":684125,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70179080,"text":"70179080 - 2016 - Using the North American Breeding Bird Survey to assess broad-scale response of the continent's most imperiled avian community, grassland birds, to weather variability","interactions":[],"lastModifiedDate":"2018-03-28T11:08:36","indexId":"70179080","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Using the North American Breeding Bird Survey to assess broad-scale response of the continent's most imperiled avian community, grassland birds, to weather variability","docAbstract":"Avian populations can respond dramatically to extreme weather such as droughts and heat waves, yet patterns of response to weather at broad scales remain largely unknown. Our goal was to evaluate annual variation in abundance of 14 grassland bird species breeding in the northern mixed-grass prairie in relation to annual variation in precipitation and temperature. We modeled avian abundance during the breeding season using North American Breeding Bird Survey (BBS) data for the U.S. Badlands and Prairies Bird Conservation Region (BCR 17) from 1980 to 2012. We used hierarchical Bayesian methods to fit models and estimate the candidate weather parameters standardized precipitation index (SPI) and standardized temperature index (STI) for the same year and the previous year. Upland Sandpiper (Bartramia longicauda) responded positively to within-year STI (β = 0.101), and Baird's Sparrow (Ammodramus bairdii) responded negatively to within-year STI (β = −0.161) and positively to within-year SPI (β = 0.195). The parameter estimates were superficially similar (STI β = −0.075, SPI β = 0.11) for Grasshopper Sparrow (Ammodramus savannarum), but the best-selected model included an interaction between SPI and STI. The best model for both Eastern Kingbird (Tyrannus tyrannus) and Vesper Sparrow (Pooecetes gramineus) included the additive effects of within-year SPI (β = −0.032 and β = −0.054, respectively) and the previous-year's SPI (β = −0.057 and −0.02, respectively), although for Vesper Sparrow the lag effect was insignificant. With projected warmer, drier weather during summer in the Badlands and Prairies BCR, Baird's and Grasshopper sparrows may be especially threatened by future climate change.
","language":"English","publisher":"American Ornithological Society","doi":"10.1650/CONDOR-15-180.1","usgsCitation":"Gorzo, J., Pidgeon, A.M., Thogmartin, W.E., Allstadt, A.J., Radeloff, V., Heglund, P., and Vavrus, S.J., 2016, Using the North American Breeding Bird Survey to assess broad-scale response of the continent's most imperiled avian community, grassland birds, to weather variability: The Condor, v. 118, no. 3, p. 502-512, https://doi.org/10.1650/CONDOR-15-180.1.","productDescription":"11 p.","startPage":"502","endPage":"512","ipdsId":"IP-069829","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":470695,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-15-180.1","text":"Publisher Index Page"},{"id":332183,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"118","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5853ba41e4b0e2663625f2ba","contributors":{"authors":[{"text":"Gorzo, Jessica","contributorId":177490,"corporation":false,"usgs":false,"family":"Gorzo","given":"Jessica","affiliations":[],"preferred":false,"id":655956,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pidgeon, Anna M.","contributorId":141123,"corporation":false,"usgs":false,"family":"Pidgeon","given":"Anna","email":"","middleInitial":"M.","affiliations":[{"id":13679,"text":"SILVIS Lab, Department of Forest and Wildlife Ecology, University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":655957,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":655955,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allstadt, Andrew J.","contributorId":141125,"corporation":false,"usgs":false,"family":"Allstadt","given":"Andrew","email":"","middleInitial":"J.","affiliations":[{"id":13679,"text":"SILVIS Lab, Department of Forest and Wildlife Ecology, University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":655958,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Radeloff, Volker C.","contributorId":76169,"corporation":false,"usgs":true,"family":"Radeloff","given":"Volker C.","affiliations":[],"preferred":false,"id":655959,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Heglund, Patricia J.","contributorId":141128,"corporation":false,"usgs":false,"family":"Heglund","given":"Patricia J.","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":655960,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vavrus, Stephen J.","contributorId":141127,"corporation":false,"usgs":false,"family":"Vavrus","given":"Stephen","email":"","middleInitial":"J.","affiliations":[{"id":13681,"text":"Center for Climate Research, University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":655961,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70185005,"text":"70185005 - 2016 - Electrofishing effort requirements for estimating species richness in the Kootenai River, Idaho","interactions":[],"lastModifiedDate":"2017-03-13T13:47:30","indexId":"70185005","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2900,"text":"Northwest Science","onlineIssn":"2161-9859","printIssn":"0029-344X","active":true,"publicationSubtype":{"id":10}},"title":"Electrofishing effort requirements for estimating species richness in the Kootenai River, Idaho","docAbstract":"This study was conducted on the Kootenai River, Idaho to provide insight on sampling requirements to optimize future monitoring effort associated with the response of fish assemblages to habitat rehabilitation. Our objective was to define the electrofishing effort (m) needed to have a 95% probability of sampling 50, 75, and 100% of the observed species richness and to evaluate the relative influence of depth, velocity, and instream woody cover on sample size requirements. Sidechannel habitats required more sampling effort to achieve 75 and 100% of the total species richness than main-channel habitats. The sampling effort required to have a 95% probability of sampling 100% of the species richness was 1100 m for main-channel sites and 1400 m for side-channel sites. We hypothesized that the difference in sampling requirements between main- and side-channel habitats was largely due to differences in habitat characteristics and species richness between main- and side-channel habitats. In general, main-channel habitats had lower species richness than side-channel habitats. Habitat characteristics (i.e., depth, current velocity, and woody instream cover) were not related to sample size requirements. Our guidelines will improve sampling efficiency during monitoring effort in the Kootenai River and provide insight on sampling designs for other large western river systems where electrofishing is used to assess fish assemblages.
","language":"English","publisher":"Northwest Scientific Association","doi":"10.3955/046.090.0310","usgsCitation":"Watkins, C.J., Quist, M.C., Shepard, B.B., and Ireland, S., 2016, Electrofishing effort requirements for estimating species richness in the Kootenai River, Idaho: Northwest Science, v. 90, no. 3, p. 315-327, https://doi.org/10.3955/046.090.0310.","productDescription":"13 p.","startPage":"315","endPage":"327","ipdsId":"IP-057553","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":337441,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Kootenai River","volume":"90","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c7afa2e4b0849ce9795eac","contributors":{"authors":[{"text":"Watkins, Carson J.","contributorId":171708,"corporation":false,"usgs":false,"family":"Watkins","given":"Carson","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":683963,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quist, Michael C. 0000-0001-8268-1839 mquist@usgs.gov","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":171392,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","email":"mquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":683913,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shepard, Bradley B.","contributorId":145880,"corporation":false,"usgs":false,"family":"Shepard","given":"Bradley","email":"","middleInitial":"B.","affiliations":[{"id":6765,"text":"Montana State University, Department of Land Resources and Environmental Sciences","active":true,"usgs":false}],"preferred":false,"id":683964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ireland, Susan C.","contributorId":18244,"corporation":false,"usgs":true,"family":"Ireland","given":"Susan C.","affiliations":[],"preferred":false,"id":683965,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}