{"pageNumber":"129","pageRowStart":"3200","pageSize":"25","recordCount":10457,"records":[{"id":70162616,"text":"70162616 - 2016 - The impacts of human recreation on brown bears (Ursus arctos): A review and new management tool","interactions":[],"lastModifiedDate":"2018-05-21T09:56:40","indexId":"70162616","displayToPublicDate":"2016-01-06T14:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The impacts of human recreation on brown bears (Ursus arctos): A review and new management tool","title":"The impacts of human recreation on brown bears (Ursus arctos): A review and new management tool","docAbstract":"

Increased popularity of recreational activities in natural areas has led to the need to better understand their impacts on wildlife. The majority of research conducted to date has focused on behavioral effects from individual recreations, thus there is a limited understanding of the potential for population-level or cumulative effects. Brown bears (Ursus arctos) are the focus of a growing wildlife viewing industry and are found in habitats frequented by recreationists. Managers face difficult decisions in balancing recreational opportunities with habitat protection for wildlife. Here, we integrate results from empirical studies with expert knowledge to better understand the potential population-level effects of recreational activities on brown bears. We conducted a literature review and Delphi survey of brown bear experts to better understand the frequencies and types of recreations occurring in bear habitats and their potential effects, and to identify management solutions and research needs. We then developed a Bayesian network model that allows managers to estimate the potential effects of recreational management decisions in bear habitats. A higher proportion of individual brown bears in coastal habitats were exposed to recreation, including photography and bear-viewing than bears in interior habitats where camping and hiking were more common. Our results suggest that the primary mechanism by which recreation may impact brown bears is through temporal and spatial displacement with associated increases in energetic costs and declines in nutritional intake. Killings in defense of life and property were found to be minimally associated with recreation in Alaska, but are important considerations in population management. Regulating recreation to occur predictably in space and time and limiting recreation in habitats with concentrated food resources reduces impacts on food intake and may thereby, reduce impacts on reproduction and survival. Our results suggest that decisions managers make about regulating recreational activities in time and space have important consequences for bear populations. The Bayesian network model developed here provides a new tool for managers to balance demands of multiple recreational activities while supporting healthy bear populations.

","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0141983","usgsCitation":"Fortin-noreus, J., Rode, K.D., Hilderbrand, G., Wilder, J., Farley, S., Jorgensen, C., and Marcot, B.G., 2016, The impacts of human recreation on brown bears (Ursus arctos): A review and new management tool: PLoS ONE, v. 11, no. 1, p. 1-26, https://doi.org/10.1371/journal.pone.0141983.","productDescription":"e0141983; 26 p.","startPage":"1","endPage":"26","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064745","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":471344,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0141983","text":"Publisher Index Page"},{"id":438645,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71V5C1F","text":"USGS data release","linkHelpText":"Recreation Survey Results in Brown Bear Habitats, 2013"},{"id":314925,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-05","publicationStatus":"PW","scienceBaseUri":"56a9f84fe4b012c193aa3eea","contributors":{"authors":[{"text":"Fortin-noreus, Jennifer jfortin-noreus@usgs.gov","contributorId":152608,"corporation":false,"usgs":true,"family":"Fortin-noreus","given":"Jennifer","email":"jfortin-noreus@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":589907,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":589906,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hilderbrand, Grant V. 0000-0002-0051-8315 ghilderbrand@usgs.gov","orcid":"https://orcid.org/0000-0002-0051-8315","contributorId":199764,"corporation":false,"usgs":true,"family":"Hilderbrand","given":"Grant V.","email":"ghilderbrand@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":false,"id":589908,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilder, James","contributorId":152610,"corporation":false,"usgs":false,"family":"Wilder","given":"James","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":589909,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Farley, Sean","contributorId":83415,"corporation":false,"usgs":true,"family":"Farley","given":"Sean","affiliations":[],"preferred":false,"id":589910,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jorgensen, Carole","contributorId":152611,"corporation":false,"usgs":false,"family":"Jorgensen","given":"Carole","email":"","affiliations":[{"id":18943,"text":"Chugach National Forest","active":true,"usgs":false}],"preferred":false,"id":589911,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Marcot, Bruce G.","contributorId":152612,"corporation":false,"usgs":false,"family":"Marcot","given":"Bruce","email":"","middleInitial":"G.","affiliations":[{"id":18944,"text":"Pacific Northwest Research Station, USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":589912,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70160872,"text":"70160872 - 2016 - Human and bovine viruses and bacteria at three Great Lakes beaches: Environmental variable associations and health risk","interactions":[],"lastModifiedDate":"2016-01-25T16:14:19","indexId":"70160872","displayToPublicDate":"2016-01-04T14:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Human and bovine viruses and bacteria at three Great Lakes beaches: Environmental variable associations and health risk","docAbstract":"

Waterborne pathogens were measured at three beaches in Lake Michigan, environmental factors for predicting pathogen concentrations were identified, and the risk of swimmer infection and illness was estimated. Waterborne pathogens were detected in 96% of samples collected at three Lake Michigan beaches in summer, 2010. Samples were quantified for 22 pathogens in four microbial categories (human viruses, bovine viruses, protozoa, and pathogenic bacteria). All beaches had detections of human and bovine viruses and pathogenic bacteria indicating influence of multiple contamination sources at these beaches. Occurrence ranged from 40 to 87% for human viruses, 65–87% for pathogenic bacteria, and 13–35% for bovine viruses. Enterovirus, adenovirus A, Salmonella spp., Campylobacter jejuni, bovine polyomavirus, and bovine rotavirus A were present most frequently. Variables selected in multiple regression models used to explore environmental factors that influence pathogens included wave direction, cloud cover, currents, and water temperature. Quantitative Microbial Risk Assessment was done for C. jejuni, Salmonella spp., and enteroviruses to estimate risk of infection and illness. Median infection risks for one-time swimming events were approximately 3 × 10–5, 7 × 10–9, and 3 × 10–7 for C. jejuni, Salmonella spp., and enteroviruses, respectively. Results highlight the importance of investigating multiple pathogens within multiple categories to avoid underestimating the prevalence and risk of waterborne pathogens.

","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.5b04372","usgsCitation":"Corsi, S., Borchardt, M.A., Carvin, R.B., Burch, T.R., Spencer, S., Lutz, M.A., McDermott, C.M., Busse, K.M., Kleinheinz, G., Feng, X., and Zhu, J., 2016, Human and bovine viruses and bacteria at three Great Lakes beaches: Environmental variable associations and health risk: Environmental Science & Technology, v. 50, no. 2, p. 987-995, https://doi.org/10.1021/acs.est.5b04372.","productDescription":"9 p.","startPage":"987","endPage":"995","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070759","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":471349,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.5b04372","text":"Publisher Index Page"},{"id":313202,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Gregory","contributorId":70665,"corporation":false,"usgs":true,"family":"Kleinheinz","given":"Gregory","email":"","affiliations":[],"preferred":false,"id":584108,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Feng, Xiaoping","contributorId":151035,"corporation":false,"usgs":false,"family":"Feng","given":"Xiaoping","email":"","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":584109,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zhu, Jun","contributorId":73485,"corporation":false,"usgs":true,"family":"Zhu","given":"Jun","email":"","affiliations":[],"preferred":false,"id":584110,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70175554,"text":"70175554 - 2016 - Volcano-tectonic earthquakes: A new tool for estimating intrusive volumes and forecasting eruptions","interactions":[],"lastModifiedDate":"2016-08-16T16:14:54","indexId":"70175554","displayToPublicDate":"2016-01-01T17:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Volcano-tectonic earthquakes: A new tool for estimating intrusive volumes and forecasting eruptions","docAbstract":"

We present data on 136 high-frequency earthquakes and swarms, termed volcano-tectonic (VT) seismicity, which preceded 111 eruptions at 83 volcanoes, plus data on VT swarms that preceded intrusions at 21 other volcanoes. We find that VT seismicity is usually the earliest reported seismic precursor for eruptions at volcanoes that have been dormant for decades or more, and precedes eruptions of all magma types from basaltic to rhyolitic and all explosivities from VEI 0 to ultraplinian VEI 6 at such previously long-dormant volcanoes. Because large eruptions occur most commonly during resumption of activity at long-dormant volcanoes, VT seismicity is an important precursor for the Earth's most dangerous eruptions. VT seismicity precedes all explosive eruptions of VEI ≥ 5 and most if not all VEI 4 eruptions in our data set. Surprisingly we find that the VT seismicity originates at distal locations on tectonic fault structures at distances of one or two to tens of kilometers laterally from the site of the eventual eruption, and rarely if ever starts beneath the eruption site itself. The distal VT swarms generally occur at depths almost equal to the horizontal distance of the swarm from the summit out to about 15 km distance, beyond which hypocenter depths level out. We summarize several important characteristics of this distal VT seismicity including: swarm-like nature, onset days to years prior to the beginning of magmatic eruptions, peaking of activity at the time of the initial eruption whether phreatic or magmatic, and large non-double couple component to focal mechanisms. Most importantly we show that the intruded magma volume can be simply estimated from the cumulative seismic moment of the VT seismicity from:

\n

Log10 V = 0.77 Log ΣMoment − 5.32, with volume, V, in cubic meters and seismic moment in Newton meters. Because the cumulative seismic moment can be approximated from the size of just the few largest events, and is quite insensitive to precise locations, the intruded magma volume can be quickly and easily estimated with few short-period seismic stations.

\n

Notable cases in which distal VT events preceded eruptions at long-dormant volcanoes include: Nevado del Ruiz (1984–1985), Pinatubo (1991), Unzen (1989–1995), Soufriere Hills (1995), Shishaldin (1989–1999), Tacana' (1985–1986), Pacaya (1980–1984), Rabaul (1994), and Cotopaxi (2001). Additional cases are recognized at frequently active volcanoes including Popocateptl (2001–2003) and Mauna Loa (1984). We present four case studies (Pinatubo, Soufriere Hills, Unzen, and Tacana') in which we demonstrate the above mentioned VT characteristics prior to eruptions. Using regional data recorded by NEIC, we recognized in near-real time that a huge distal VT swarm was occurring, deduced that a proportionately huge magmatic intrusion was taking place beneath the long dormant Sulu Range, New Britain Island, Papua New Guinea, that it was likely to lead to eruptive activity, and warned Rabaul Volcano Observatory days before a phreatic eruption occurred. This confirms the value of this technique for eruption forecasting. We also present a counter-example where we deduced that a VT swarm at Volcan Cosiguina, Nicaragua, indicated a small intrusion, insufficient to reach the surface and erupt. Finally, we discuss limitations of the method and propose a mechanism by which this distal VT seismicity is triggered by magmatic intrusion.

","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.jvolgeores.2015.10.020","usgsCitation":"White, R.A., and McCausland, W., 2016, Volcano-tectonic earthquakes: A new tool for estimating intrusive volumes and forecasting eruptions: Journal of Volcanology and Geothermal Research, v. 309, p. 139-155, https://doi.org/10.1016/j.jvolgeores.2015.10.020.","startPage":"139","endPage":"155","numberOfPages":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059009","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":471351,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2015.10.020","text":"Publisher Index Page"},{"id":326598,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"309","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57b4395ce4b03bcb0103a01e","contributors":{"authors":[{"text":"White, Randall A. 0000-0003-4074-8577 rwhite@usgs.gov","orcid":"https://orcid.org/0000-0003-4074-8577","contributorId":1993,"corporation":false,"usgs":true,"family":"White","given":"Randall","email":"rwhite@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":645666,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCausland, Wendy wmccausland@usgs.gov","contributorId":5497,"corporation":false,"usgs":true,"family":"McCausland","given":"Wendy","email":"wmccausland@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":645667,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70162270,"text":"70162270 - 2016 - Understanding environmental DNA detection probabilities: A case study using a stream-dwelling char Salvelinus fontinalis","interactions":[],"lastModifiedDate":"2016-01-20T12:26:57","indexId":"70162270","displayToPublicDate":"2016-01-01T13:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Understanding environmental DNA detection probabilities: A case study using a stream-dwelling char Salvelinus fontinalis","docAbstract":"

Environmental DNA sampling (eDNA) has emerged as a powerful tool for detecting aquatic animals. Previous research suggests that eDNA methods are substantially more sensitive than traditional sampling. However, the factors influencing eDNA detection and the resulting sampling costs are still not well understood. Here we use multiple experiments to derive independent estimates of eDNA production rates and downstream persistence from brook trout (Salvelinus fontinalis) in streams. We use these estimates to parameterize models comparing the false negative detection rates of eDNA sampling and traditional backpack electrofishing. We find that using the protocols in this study eDNA had reasonable detection probabilities at extremely low animal densities (e.g., probability of detection 0.18 at densities of one fish per stream kilometer) and very high detection probabilities at population-level densities (e.g., probability of detection > 0.99 at densities of ≥ 3 fish per 100 m). This is substantially more sensitive than traditional electrofishing for determining the presence of brook trout and may translate into important cost savings when animals are rare. Our findings are consistent with a growing body of literature showing that eDNA sampling is a powerful tool for the detection of aquatic species, particularly those that are rare and difficult to sample using traditional methods.

","language":"English","publisher":"Elsevier","publisherLocation":"Kidlington, Oxford","doi":"10.1016/j.biocon.2015.12.023","usgsCitation":"Wilcox, T., Mckelvey, K.S., Young, M.K., Sepulveda, A.J., Shepard, B.B., Jane, S., Whiteley, A.R., Lowe, W.H., and Schwartz, M.K., 2016, Understanding environmental DNA detection probabilities: A case study using a stream-dwelling char Salvelinus fontinalis: Biological Conservation, v. 194, p. 209-216, https://doi.org/10.1016/j.biocon.2015.12.023.","productDescription":"8 p.","startPage":"209","endPage":"216","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066118","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":471355,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2015.12.023","text":"Publisher Index 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Center for Wildlife and Fish Conservation, Rocky Mountain Research Station, Missoula, MT 59801 USA","active":true,"usgs":false}],"preferred":false,"id":589054,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mckelvey, Kevin S.","contributorId":22617,"corporation":false,"usgs":true,"family":"Mckelvey","given":"Kevin","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":589055,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, Michael K.","contributorId":34253,"corporation":false,"usgs":true,"family":"Young","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":589056,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sepulveda, Adam J. 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":150628,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":589053,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shepard, Bradley B.","contributorId":57327,"corporation":false,"usgs":true,"family":"Shepard","given":"Bradley","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":589057,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jane, Stephen F","contributorId":152365,"corporation":false,"usgs":false,"family":"Jane","given":"Stephen F","affiliations":[{"id":18918,"text":"Department of Environmental Conservation, University of Massachusetts, Amherst, MA, 01003, USA","active":true,"usgs":false}],"preferred":false,"id":589058,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Whiteley, Andrew R.","contributorId":150155,"corporation":false,"usgs":false,"family":"Whiteley","given":"Andrew","email":"","middleInitial":"R.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":589059,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lowe, Winsor H.","contributorId":126722,"corporation":false,"usgs":false,"family":"Lowe","given":"Winsor","email":"","middleInitial":"H.","affiliations":[{"id":6577,"text":"University of Montana, Division of Biological Sciences, Missoula, MT, 59812, USA.","active":true,"usgs":false}],"preferred":false,"id":589060,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schwartz, Michael K.","contributorId":102326,"corporation":false,"usgs":true,"family":"Schwartz","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":589061,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70200941,"text":"70200941 - 2016 - Invasive pythons, not anthropogenic stressors, explain the distribution of a keystone species","interactions":[],"lastModifiedDate":"2018-11-16T11:18:13","indexId":"70200941","displayToPublicDate":"2016-01-01T11:18:04","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Invasive pythons, not anthropogenic stressors, explain the distribution of a keystone species","docAbstract":"

Untangling the causes of native species loss in human-modified systems is difficult and often controversial. Evaluating the impact of non-native species in these systems is particularly challenging, as additional human perturbations often precede or accompany introductions. One example is the ongoing debate over whether mammal declines within Everglades National Park (ENP) were caused by either the establishment of non-native Burmese pythons (Python molurus bivittatus) or the effects of other anthropogenic stressors. We examined the influence of both pythons and a host of alternative stressors—altered hydrology and habitat characteristics, mercury contamination and development—on the distribution of the marsh rabbit (Sylvilagus palustris), a once common mammal in ENP. Distance from the epicenter of the python invasion best explained marsh rabbit occurrence in suitable habitat patches, whereas none of the alternative stressors considered could explain marsh rabbit distribution. Estimates of the probability of marsh rabbit occurrence ranged from 0 at the python invasion epicenter to nearly 1.0 150 km from the invasion epicenter. These results support the hypothesis that invasive pythons shape the distribution of marsh rabbits in southern Florida. The loss of marsh rabbits and similar species will likely alter trophic interactions and ecosystem function within the Everglades, an internationally important hotspot of biodiversity. Further, our results suggest that non-native species can have profound impacts on mainland biodiversity.

","language":"English","publisher":"Springer","doi":"10.1007/s10530-016-1221-3","usgsCitation":"Sovie, A.R., McCleery, R.A., Fletcher, R.J., and Hart, K.M., 2016, Invasive pythons, not anthropogenic stressors, explain the distribution of a keystone species: Biological Invasions, v. 18, no. 11, p. 3309-3318, https://doi.org/10.1007/s10530-016-1221-3.","productDescription":"10 p.","startPage":"3309","endPage":"3318","ipdsId":"IP-065121","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":359512,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Greater Everglades Ecosystem","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.012939453125,\n 24.407137917727667\n ],\n [\n -79.991455078125,\n 24.407137917727667\n ],\n [\n -79.991455078125,\n 27.254629577800063\n ],\n [\n -82.012939453125,\n 27.254629577800063\n ],\n [\n -82.012939453125,\n 24.407137917727667\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"18","issue":"11","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-09","publicationStatus":"PW","scienceBaseUri":"5befe5bde4b045bfcadf7f4e","contributors":{"authors":[{"text":"Sovie, Adia R.","contributorId":197424,"corporation":false,"usgs":false,"family":"Sovie","given":"Adia","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":751411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCleery, Robert A.","contributorId":139849,"corporation":false,"usgs":false,"family":"McCleery","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":751412,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fletcher, Robert J. 0000-0003-1717-5707","orcid":"https://orcid.org/0000-0003-1717-5707","contributorId":195795,"corporation":false,"usgs":false,"family":"Fletcher","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":751413,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":751410,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70171441,"text":"70171441 - 2016 - Distributions of small nongame fishes in the lower Yellowstone River","interactions":[],"lastModifiedDate":"2016-06-01T14:35:47","indexId":"70171441","displayToPublicDate":"2016-01-01T03:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":737,"text":"American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Distributions of small nongame fishes in the lower Yellowstone River","docAbstract":"

The Yellowstone River is the longest unimpounded river in the conterminous United States. It has a relatively natural flow regime, which helps maintain diverse habitats and fish assemblages uncommon in large rivers elsewhere. The lower Yellowstone River was thought to support a diverse nongame fish assemblage including several species of special concern. However, comprehensive data on the small nongame fish assemblage of the lower Yellowstone River is lacking. Therefore, we sampled the Yellowstone River downstream of its confluence with the Clark’s Fork using fyke nets and otter trawls to assess distributions and abundances of small nongame fishes. We captured 42 species (24 native and 18 nonnative) in the lower Yellowstone River with fyke nets. Native species constituted over 99% of the catch. Emerald shiners Notropis atherinoides, western silvery minnows Hybognathus argyritis, flathead chubs Platygobio gracilis, sand shiners Notropis stramineus, and longnose dace Rhinichthys cataractae composed nearly 94% of fyke net catch and were caught in every segment of the study area. We captured 24 species by otter trawling downstream of the Tongue River. Sturgeon chubs Macrhybopsis gelida, channel catfish Ictalurus punctatus, flathead chubs, stonecats Noturus flavus, and sicklefin chubs Macrhybopsis meeki composed 89% of the otter trawl catch. The upstream distributional limit of sturgeon chubs in the Yellowstone River was the Tongue River; few sicklefin chubs were captured above Intake Diversion Dam. This study not only provides biologists with baseline data for future monitoring efforts on the Yellowstone River but serves as a benchmark for management and conservation efforts in large rivers elsewhere as the Yellowstone River represents one of the best references for a naturally functioning Great Plains river.

","language":"English","publisher":"University of Notre Dame","doi":"10.1674/amid-175-01-01-23.1","usgsCitation":"Duncan, M.B., Bramblett, R.G., and Zale, A.V., 2016, Distributions of small nongame fishes in the lower Yellowstone River: American Midland Naturalist, v. 175, no. 1, p. 1-23, https://doi.org/10.1674/amid-175-01-01-23.1.","productDescription":"23 p.","startPage":"1","endPage":"23","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064449","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":322031,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","city":"Billings, Sidney","otherGeospatial":"Bighorn River, Cartersville Diversion Dam, Clarks Fork River, Meyers Diversion Dam, Huntley Diversion Dam, Intake Diversion Dam, O'Fallon Creek, Powder River, Rancher Diversion Dam, Tongue River, Waco Diversion Dam, Yellowstone River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.86328125,\n 45.48324350868221\n ],\n [\n -109.86328125,\n 48.10743118848039\n ],\n [\n -103.985595703125,\n 48.10743118848039\n ],\n [\n -103.985595703125,\n 45.48324350868221\n ],\n [\n -109.86328125,\n 45.48324350868221\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"175","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57500754e4b0ee97d51bb538","contributors":{"authors":[{"text":"Duncan, Michael B.","contributorId":169856,"corporation":false,"usgs":false,"family":"Duncan","given":"Michael","email":"","middleInitial":"B.","affiliations":[{"id":13655,"text":"Montana State Univ.","active":true,"usgs":false}],"preferred":false,"id":631284,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bramblett, Robert G.","contributorId":169857,"corporation":false,"usgs":false,"family":"Bramblett","given":"Robert","email":"","middleInitial":"G.","affiliations":[{"id":5098,"text":"Department of Ecology, Montana State University","active":true,"usgs":false}],"preferred":false,"id":631285,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zale, Alexander V. 0000-0003-1703-885X zale@usgs.gov","orcid":"https://orcid.org/0000-0003-1703-885X","contributorId":3010,"corporation":false,"usgs":true,"family":"Zale","given":"Alexander","email":"zale@usgs.gov","middleInitial":"V.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":630993,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192558,"text":"70192558 - 2016 - Discontinuities concentrate mobile predators: Quantifying organism-environment interactions at a seascape scale","interactions":[],"lastModifiedDate":"2017-10-26T15:19:19","indexId":"70192558","displayToPublicDate":"2016-01-01T00:00:00","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":"Discontinuities concentrate mobile predators: Quantifying organism-environment interactions at a seascape scale","docAbstract":"

Understanding environmental drivers of spatial patterns is an enduring ecological problem that is critical for effective biological conservation. Discontinuities (ecologically meaningful habitat breaks), both naturally occurring (e.g., river confluence, forest edge, drop-off) and anthropogenic (e.g., dams, roads), can influence the distribution of highly mobile organisms that have land- or seascape scale ranges. A geomorphic discontinuity framework, expanded to include ecological patterns, provides a way to incorporate important but irregularly distributed physical features into organism–environment relationships. Here, we test if migratory striped bass (Morone saxatilis) are consistently concentrated by spatial discontinuities and why. We quantified the distribution of 50 acoustically tagged striped bass at 40 sites within Plum Island Estuary, Massachusetts during four-monthly surveys relative to four physical discontinuities (sandbar, confluence, channel network, drop-off), one continuous physical feature (depth variation), and a geographic location variable (region). Despite moving throughout the estuary, striped bass were consistently clustered in the middle geographic region at sites with high sandbar area, close to channel networks, adjacent to complex confluences, with intermediate levels of bottom unevenness, and medium sized drop-offs. In addition, the highest striped bass concentrations occurred at sites with the greatest additive physical heterogeneity (i.e., where multiple discontinuities co-occurred). The need to incorporate irregularly distributed features in organism–environment relationships will increase as high-quality telemetry and GIS data accumulate for mobile organisms. The spatially explicit approach we used to address this challenge can aid both researchers who seek to understand the impact of predators on ecosystems and resource managers who require new approaches for biological conservation.

","language":"English","publisher":"ESA","doi":"10.1002/ecs2.1226","usgsCitation":"Kennedy, C., Mather, M.E., Smith, J.M., Finn, J.T., and Deegan, L.A., 2016, Discontinuities concentrate mobile predators: Quantifying organism-environment interactions at a seascape scale: Ecosphere, v. 7, no. 2, Article e01226; 17 p., https://doi.org/10.1002/ecs2.1226.","productDescription":"Article e01226; 17 p.","ipdsId":"IP-059506","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":471364,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1226","text":"Publisher Index Page"},{"id":347507,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-26","publicationStatus":"PW","scienceBaseUri":"5a07ea76e4b09af898c8cc8b","contributors":{"authors":[{"text":"Kennedy, Christina G.","contributorId":145646,"corporation":false,"usgs":false,"family":"Kennedy","given":"Christina G.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":716465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mather, Martha E. 0000-0003-3027-0215 mather@usgs.gov","orcid":"https://orcid.org/0000-0003-3027-0215","contributorId":2580,"corporation":false,"usgs":true,"family":"Mather","given":"Martha","email":"mather@usgs.gov","middleInitial":"E.","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":716466,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Joseph M.","contributorId":106712,"corporation":false,"usgs":false,"family":"Smith","given":"Joseph","email":"","middleInitial":"M.","affiliations":[{"id":17855,"text":"School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA","active":true,"usgs":false},{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":716469,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Finn, John T.","contributorId":43398,"corporation":false,"usgs":false,"family":"Finn","given":"John","email":"","middleInitial":"T.","affiliations":[{"id":16720,"text":"Department of Environmental Conservation, University of Massachusetts, Amherst, MA 01003-9485, USA","active":true,"usgs":false}],"preferred":false,"id":716492,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Deegan, Linda A.","contributorId":34094,"corporation":false,"usgs":false,"family":"Deegan","given":"Linda","email":"","middleInitial":"A.","affiliations":[{"id":27818,"text":"The Ecosystems Center, Marine Biological Laboratory. Woods Hole, MA 02543.","active":true,"usgs":false}],"preferred":false,"id":716493,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192836,"text":"70192836 - 2016 - Site effects in Port-au-Prince (Haiti) from the analysis of spectral ratio and numerical simulations.","interactions":[],"lastModifiedDate":"2017-10-30T16:11:14","indexId":"70192836","displayToPublicDate":"2016-01-01T00:00:00","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":"Site effects in Port-au-Prince (Haiti) from the analysis of spectral ratio and numerical simulations.","docAbstract":"

To provide better insight into seismic ground motion in the Port‐au‐Prince metropolitan area, we investigate site effects at 12 seismological stations by analyzing 78 earthquakes with magnitude smaller than 5 that occurred between 2010 and 2013. Horizontal‐to‐vertical spectral ratio on earthquake recordings and a standard spectral ratio were applied to the seismic data. We also propose a simplified lithostratigraphic map and use available geotechnical and geophysical data to construct representative soil columns in the vicinity of each station that allow us to compute numerical transfer functions using 1D simulations. At most of the studied sites, spectral ratios are characterized by weak‐motion amplification at frequencies above 5 Hz, in good agreement with the numerical transfer functions. A mismatch between the observed amplifications and simulated response at lower frequencies shows that the considered soil columns could be missing a deeper velocity contrast. Furthermore, strong amplification between 2 and 10 Hz linked to local topographic features is found at one station located in the south of the city, and substantial amplification below 5 Hz is detected near the coastline, which we attribute to deep and soft sediments as well as the presence of surface waves. We conclude that for most investigated sites in Port‐au‐Prince, seismic amplifications due to site effects are highly variable but seem not to be important at high frequencies. At some specific locations, however, they could strongly enhance the low‐frequency content of the seismic ground shaking. Although our analysis does not consider nonlinear effects, we thus conclude that, apart from sites close to the coast, sediment‐induced amplification probably had only a minor impact on the level of strong ground motion, and was not the main reason for the high level of damage in Port‐au‐Prince.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120150238","usgsCitation":"St. Fleur, S., Bertrand, E., Courboulex, F., Mercier de Lepinay, B., Deschamps, A., Hough, S.E., Cultrera, G., Boisson, D., and Prepetit, C., 2016, Site effects in Port-au-Prince (Haiti) from the analysis of spectral ratio and numerical simulations.: Bulletin of the Seismological Society of America, v. 106, no. 3, p. 1298-1315, https://doi.org/10.1785/0120150238.","productDescription":"18 p.","startPage":"1298","endPage":"1315","ipdsId":"IP-073232","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347747,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Haiti","city":"Port-au-Prince","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73,\n 18.127580917219024\n ],\n [\n -72,\n 18.127580917219024\n ],\n [\n -72,\n 18.80751806940863\n ],\n [\n -73,\n 18.80751806940863\n ],\n [\n -73,\n 18.127580917219024\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"106","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-24","publicationStatus":"PW","scienceBaseUri":"59f83a3de4b063d5d3098111","contributors":{"authors":[{"text":"St. Fleur, Sadrac","contributorId":198793,"corporation":false,"usgs":false,"family":"St. Fleur","given":"Sadrac","email":"","affiliations":[],"preferred":false,"id":717135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bertrand, Etienne","contributorId":198794,"corporation":false,"usgs":false,"family":"Bertrand","given":"Etienne","email":"","affiliations":[],"preferred":false,"id":717136,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Courboulex, Francoise","contributorId":198795,"corporation":false,"usgs":false,"family":"Courboulex","given":"Francoise","email":"","affiliations":[],"preferred":false,"id":717137,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mercier de Lepinay, Bernard","contributorId":10322,"corporation":false,"usgs":true,"family":"Mercier de Lepinay","given":"Bernard","email":"","affiliations":[],"preferred":false,"id":717138,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Deschamps, Anne","contributorId":24269,"corporation":false,"usgs":true,"family":"Deschamps","given":"Anne","email":"","affiliations":[],"preferred":false,"id":717139,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hough, Susan E. 0000-0002-5980-2986 hough@usgs.gov","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":587,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"hough@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":717134,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cultrera, Giovanna","contributorId":198798,"corporation":false,"usgs":false,"family":"Cultrera","given":"Giovanna","email":"","affiliations":[],"preferred":false,"id":717140,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Boisson, Dominique","contributorId":198799,"corporation":false,"usgs":false,"family":"Boisson","given":"Dominique","email":"","affiliations":[],"preferred":false,"id":717141,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Prepetit, Claude","contributorId":198800,"corporation":false,"usgs":false,"family":"Prepetit","given":"Claude","email":"","affiliations":[],"preferred":false,"id":717142,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70179257,"text":"70179257 - 2016 - Viral lysis of photosynthesizing microbes as a mechanism for calcium carbonate nucleation in seawater","interactions":[],"lastModifiedDate":"2018-03-30T12:48:29","indexId":"70179257","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1702,"text":"Frontiers in Microbiology","onlineIssn":"1664-302X","active":true,"publicationSubtype":{"id":10}},"title":"Viral lysis of photosynthesizing microbes as a mechanism for calcium carbonate nucleation in seawater","docAbstract":"

Removal of carbon through the precipitation and burial of calcium carbonate in marine sediments constitutes over 70% of the total carbon on Earth and is partitioned between coastal and pelagic zones. The precipitation of authigenic calcium carbonate in seawater, however, has been hotly debated because despite being in a supersaturated state, there is an absence of persistent precipitation. One of the explanations for this paradox is the geochemical conditions in seawater cannot overcome the activation energy barrier for the first step in any precipitation reaction; nucleation. Here we show that virally induced rupturing of photosynthetic cyanobacterial cells releases cytoplasmic-associated bicarbonate at concentrations ~23-fold greater than in the surrounding seawater, thereby shifting the carbonate chemistry toward the homogenous nucleation of one or more of the calcium carbonate polymorphs. Using geochemical reaction energetics, we show the saturation states (Ω) in typical seawater for calcite (Ω = 4.3), aragonite (Ω = 3.1), and vaterite (Ω = 1.2) are significantly elevated following the release and diffusion of the cytoplasmic bicarbonate (Ωcalcite = 95.7; Ωaragonite = 68.5; Ωvaterite = 25.9). These increases in Ω significantly reduce the activation energy for nuclei formation thresholds for all three polymorphs, but only vaterite nucleation is energetically favored. In the post-lysis seawater, vaterite's nuclei formation activation energy is significantly reduced from 1.85 × 10−17 J to 3.85 × 10−20 J, which increases the nuclei formation rate from highly improbable (<<1.0 nuclei cm−3 s−1) to instantaneous (8.60 × 1025 nuclei cm−3 s−1). The proposed model for homogenous nucleation of calcium carbonate in seawater describes a mechanism through which the initial step in the production of carbonate sediments may proceed. It also presents an additional role of photosynthesizing microbes and their viruses in marine carbon cycles and reveals these microorganisms are a collective repository for concentrated and reactive dissolved inorganic carbon (DIC) that is currently not accounted for in global carbon budgets and carbonate sediment diagenesis models.

","language":"English","publisher":"Frontiers","doi":"10.3389/fmicb.2016.01958","usgsCitation":"Lisle, J.T., and Robbins, L.L., 2016, Viral lysis of photosynthesizing microbes as a mechanism for calcium carbonate nucleation in seawater: Frontiers in Microbiology, v. 7, Article 1958; 7 p., https://doi.org/10.3389/fmicb.2016.01958.","productDescription":"Article 1958; 7 p.","ipdsId":"IP-061591","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471384,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmicb.2016.01958","text":"Publisher Index Page"},{"id":352777,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-09","publicationStatus":"PW","scienceBaseUri":"5afeea5ae4b0da30c1bfc605","contributors":{"authors":[{"text":"Lisle, John T. 0000-0002-5447-2092 jlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-5447-2092","contributorId":2944,"corporation":false,"usgs":true,"family":"Lisle","given":"John","email":"jlisle@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":656556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robbins, Lisa L. 0000-0003-3681-1094 lrobbins@usgs.gov","orcid":"https://orcid.org/0000-0003-3681-1094","contributorId":422,"corporation":false,"usgs":true,"family":"Robbins","given":"Lisa","email":"lrobbins@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":656557,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70198001,"text":"70198001 - 2016 - Photoperiod and nesting phenology of whooping cranes at two captive sites","interactions":[],"lastModifiedDate":"2018-07-06T13:35:24","indexId":"70198001","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Photoperiod and nesting phenology of whooping cranes at two captive sites","docAbstract":"

Increasing daylight is known to be a breeding stimulus in many avian species breeding in northern latitudes. This is thought to be true for cranes that breed in such latitudes including the Whooping Crane (Grus americana). For this reason, the captive breeding centers use artificial light to lengthen daylight hours, but no study has been done to look at the effect of such lighting on the reproductive season. We examined the past light cycles and breeding season results from Whooping Crane pairs at USGS Patuxent Wildlife Research Center and the International Crane Foundation. At Patuxent two lights were used to produce light of 170 lux in the pens. On average, photoperiod lights were turned on Feb. 17 (range Feb. 11-24). With two lights per pen, whooping cranes laid their first egg on average 10 days earlier than when one light was used and 16 days earlier than when no lights were used. At ICF the difference between lights on a pen and no lights was only 8 days difference in first lay dates, but still this was statistically significant.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the North American Crane Workshop","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"North American Crane Workshop","conferenceDate":"April 14-17, 2014","conferenceLocation":"Lafayette, LA","language":"English","publisher":"North American Crane Working Group","usgsCitation":"Olsen, G.H., 2016, Photoperiod and nesting phenology of whooping cranes at two captive sites, in Proceedings of the North American Crane Workshop, Lafayette, LA, April 14-17, 2014, p. 98-102.","productDescription":"5 p.","startPage":"98","endPage":"102","ipdsId":"IP-085009","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":355533,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":355532,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.nacwg.org/proceedings13.html","linkFileType":{"id":5,"text":"html"}}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e8e9e4b060350a15d339","contributors":{"authors":[{"text":"Olsen, Glenn H. 0000-0002-7188-6203 golsen@usgs.gov","orcid":"https://orcid.org/0000-0002-7188-6203","contributorId":40918,"corporation":false,"usgs":true,"family":"Olsen","given":"Glenn","email":"golsen@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":739553,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70187256,"text":"70187256 - 2016 - Louisiana waterthrush and benthic macroinvertebrate response to shale gas development","interactions":[],"lastModifiedDate":"2017-04-27T11:39:11","indexId":"70187256","displayToPublicDate":"2016-01-01T00:00:00","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":"Louisiana waterthrush and benthic macroinvertebrate response to shale gas development","docAbstract":"

Because shale gas development is occurring over large landscapes and consequently is affecting many headwater streams, an understanding of its effects on headwater-stream faunal communities is needed. We examined effects of shale gas development (well pads and associated infrastructure) on Louisiana waterthrush Parkesia motacilla and benthic macroinvertebrate communities in 12 West Virginia headwater streams in 2011. Streams were classed as impacted (n = 6) or unimpacted (n = 6) by shale gas development. We quantified waterthrush demography (nest success, clutch size, number of fledglings, territory density), a waterthrush Habitat Suitability Index, a Rapid Bioassessment Protocol habitat index, and benthic macroinvertebrate metrics including a genus-level stream-quality index for each stream. We compared each benthic metric between impacted and unimpacted streams with a Student's t-test that incorporated adjustments for normalizing data. Impacted streams had lower genus-level stream-quality index scores; lower overall and Ephemeroptera, Plecoptera, and Trichoptera richness; fewer intolerant taxa, more tolerant taxa, and greater density of 0–3-mm individuals (P ≤ 0.10). We then used Pearson correlation to relate waterthrush metrics to benthic metrics across the 12 streams. Territory density (no. of territories/km of stream) was greater on streams with higher genus-level stream-quality index scores; greater density of all taxa and Ephemeroptera, Plecoptera, and Trichoptera taxa; and greater biomass. Clutch size was greater on streams with higher genus-level stream-quality index scores. Nest survival analyses (n = 43 nests) completed with Program MARK suggested minimal influence of benthic metrics compared with nest stage and Habitat Suitability Index score. Although our study spanned only one season, our results suggest that shale gas development affected waterthrush and benthic communities in the headwater streams we studied. Thus, these ecological effects of shale gas development warrant closer examination.

","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/092015-JFWM-084","usgsCitation":"Wood, P., Frantz, M.W., and Becker, D.A., 2016, Louisiana waterthrush and benthic macroinvertebrate response to shale gas development: Journal of Fish and Wildlife Management, v. 7, no. 2, p. 423-433, https://doi.org/10.3996/092015-JFWM-084.","productDescription":"11 p.","startPage":"423","endPage":"433","ipdsId":"IP-066368","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":490023,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/092015-jfwm-084","text":"Publisher Index Page"},{"id":340503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":" Lewis Wetzel Wildlife Management Area","volume":"7","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-01","publicationStatus":"PW","scienceBaseUri":"59030326e4b0e862d230f72b","contributors":{"authors":[{"text":"Wood, Petra pbwood@usgs.gov","contributorId":169812,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","affiliations":[{"id":34541,"text":"West Virginia Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":693114,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frantz, Mack W.","contributorId":191486,"corporation":false,"usgs":false,"family":"Frantz","given":"Mack","email":"","middleInitial":"W.","affiliations":[{"id":34542,"text":"Department of Biology. Indiana University of Pennsylvania","active":true,"usgs":false},{"id":34541,"text":"West Virginia Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":693208,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Becker, Douglas A.","contributorId":169852,"corporation":false,"usgs":false,"family":"Becker","given":"Douglas","email":"","middleInitial":"A.","affiliations":[{"id":16210,"text":"Division of Forestry and Natural Resources, West Virginia University","active":true,"usgs":false}],"preferred":false,"id":693209,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70189094,"text":"70189094 - 2016 - A comparison of helicopter-borne electromagnetic systems for hydrogeologic studies","interactions":[],"lastModifiedDate":"2017-06-29T15:02:55","indexId":"70189094","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1806,"text":"Geophysical Prospecting","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of helicopter-borne electromagnetic systems for hydrogeologic studies","docAbstract":"

The increased application of airborne electromagnetic surveys to hydrogeological studies is driving a demand for data that can consistently be inverted for accurate subsurface resistivity structure from the near surface to depths of several hundred metres. We present an evaluation of three commercial airborne electromagnetic systems over two test blocks in western Nebraska, USA. The selected test blocks are representative of shallow and deep alluvial aquifer systems with low groundwater salinity and an electrically conductive base of aquifer. The aquifer units show significant lithologic heterogeneity and include both modern and ancient river systems. We compared the various data sets to one another and inverted resistivity models to borehole lithology and to ground geophysical models. We find distinct differences among the airborne electromagnetic systems as regards the spatial resolution of models, the depth of investigation, and the ability to recover near-surface resistivity variations. We further identify systematic biases in some data sets, which we attribute to incomplete or inexact calibration or compensation procedures.

","language":"English","publisher":"Wiley","doi":"10.1111/1365-2478.12262","usgsCitation":"Bedrosian, P.A., Schamper, C., and Auken, E., 2016, A comparison of helicopter-borne electromagnetic systems for hydrogeologic studies: Geophysical Prospecting, v. 64, no. 1, p. 192-215, https://doi.org/10.1111/1365-2478.12262.","productDescription":"24 p.","startPage":"192","endPage":"215","ipdsId":"IP-049361","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":343162,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","volume":"64","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-29","publicationStatus":"PW","scienceBaseUri":"595611b7e4b0d1f9f0506768","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":702837,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schamper, Cyril","contributorId":193990,"corporation":false,"usgs":false,"family":"Schamper","given":"Cyril","email":"","affiliations":[],"preferred":false,"id":702838,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Auken, Esben","contributorId":193991,"corporation":false,"usgs":false,"family":"Auken","given":"Esben","email":"","affiliations":[],"preferred":false,"id":702839,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70176484,"text":"70176484 - 2016 - Dispersal and spatial heterogeneity: Single species","interactions":[],"lastModifiedDate":"2016-09-19T08:59:41","indexId":"70176484","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2384,"text":"Journal of Mathematical Biology","active":true,"publicationSubtype":{"id":10}},"title":"Dispersal and spatial heterogeneity: Single species","docAbstract":"

A recent result for a reaction-diffusion equation is that a population diffusing at any rate in an environment in which resources vary spatially will reach a higher total equilibrium biomass than the population in an environment in which the same total resources are distributed homogeneously. This has so far been proven by Lou for the case in which the reaction term has only one parameter, m(x)\">m(x)m(x), varying with spatial location x\">xx, which serves as both the intrinsic growth rate coefficient and carrying capacity of the population. However, this striking result seems rather limited when applies to real populations. In order to make the model more relevant for ecologists, we consider a logistic reaction term, with two parameters, r(x)\">r(x)r(x) for intrinsic growth rate, and K(x)\">K(x)K(x) for carrying capacity. When r(x)\">r(x)r(x) and K(x)\">K(x)K(x) are proportional, the logistic equation takes a particularly simple form, and the earlier result still holds. In this paper we have established the result for the more general case of a positive correlation between r(x)\">r(x)r(x) and K(x)\">K(x)K(x) when dispersal rate is small. We review natural and laboratory systems to which these results are relevant and discuss the implications of the results to population theory and conservation ecology.

","language":"English","publisher":"Springer","doi":"10.1007/s00285-015-0879-y","usgsCitation":"DeAngelis, D.L., Ni, W., and Zhang, B., 2016, Dispersal and spatial heterogeneity: Single species: Journal of Mathematical Biology, v. 72, no. 1, p. 239-254, https://doi.org/10.1007/s00285-015-0879-y.","productDescription":"16 p.","startPage":"239","endPage":"254","ipdsId":"IP-068977","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":328702,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"72","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-11","publicationStatus":"PW","scienceBaseUri":"57f7c6e6e4b0bc0bec09cbe3","contributors":{"authors":[{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":148065,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald","email":"don_deangelis@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":648911,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ni, Wei-Ming","contributorId":146528,"corporation":false,"usgs":false,"family":"Ni","given":"Wei-Ming","email":"","affiliations":[{"id":16716,"text":"University of Minnesota : East China Normal University","active":true,"usgs":false}],"preferred":false,"id":648912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Bo","contributorId":146526,"corporation":false,"usgs":false,"family":"Zhang","given":"Bo","email":"","affiliations":[{"id":16714,"text":"Dept. of Biology, University of Miami","active":true,"usgs":false}],"preferred":false,"id":648913,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70187720,"text":"70187720 - 2016 - Rapid environmental change drives increased land use by an Arctic marine predator","interactions":[],"lastModifiedDate":"2017-05-18T10:32:17","indexId":"70187720","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Rapid environmental change drives increased land use by an Arctic marine predator","docAbstract":"

In the Arctic Ocean’s southern Beaufort Sea (SB), the length of the sea ice melt season (i.e., period between the onset of sea ice break-up in summer and freeze-up in fall) has increased substantially since the late 1990s. Historically, polar bears (Ursus maritimus) of the SB have mostly remained on the sea ice year-round (except for those that came ashore to den), but recent changes in the extent and phenology of sea ice habitat have coincided with evidence that use of terrestrial habitat is increasing. We characterized the spatial behavior of polar bears spending summer and fall on land along Alaska’s north coast to better understand the nexus between rapid environmental change and increased use of terrestrial habitat. We found that the percentage of radiocollared adult females from the SB subpopulation coming ashore has tripled over 15 years. Moreover, we detected trends of earlier arrival on shore, increased length of stay, and later departure back to sea ice, all of which were related to declines in the availability of sea ice habitat over the continental shelf and changes to sea ice phenology. Since the late 1990s, the mean duration of the open-water season in the SB increased by 36 days, and the mean length of stay on shore increased by 31 days. While on shore, the distribution of polar bears was influenced by the availability of scavenge subsidies in the form of subsistence-harvested bowhead whale (Balaena mysticetus) remains aggregated at sites along the coast. The declining spatio-temporal availability of sea ice habitat and increased availability of human-provisioned resources are likely to result in increased use of land. Increased residency on land is cause for concern given that, while there, bears may be exposed to a greater array of risk factors including those associated with increased human activities.

","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0155932","usgsCitation":"Atwood, T.C., Peacock, E.L., McKinney, M.A., Lillie, K., Wilson, R.H., Douglas, D.C., Miller, S., and Terletzky, P., 2016, Rapid environmental change drives increased land use by an Arctic marine predator: PLoS ONE, v. 6, no. 11, Article e0155932; 18 p., https://doi.org/10.1371/journal.pone.0155932.","productDescription":"Article e0155932; 18 p.","ipdsId":"IP-072257","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":471388,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0155932","text":"Publisher Index Page"},{"id":341326,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, Yukon","otherGeospatial":"Southern Beaufort Sea","volume":"6","issue":"11","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-01","publicationStatus":"PW","scienceBaseUri":"591abe37e4b0a7fdb43c8bf7","contributors":{"authors":[{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":695266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peacock, Elizabeth L. 0000-0001-7279-0329 lpeacock@usgs.gov","orcid":"https://orcid.org/0000-0001-7279-0329","contributorId":3361,"corporation":false,"usgs":true,"family":"Peacock","given":"Elizabeth","email":"lpeacock@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":false,"id":695552,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKinney, Melissa A.","contributorId":11496,"corporation":false,"usgs":false,"family":"McKinney","given":"Melissa","email":"","middleInitial":"A.","affiliations":[{"id":6619,"text":"University of Connecticutt","active":true,"usgs":false}],"preferred":false,"id":695267,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lillie, Kate","contributorId":148213,"corporation":false,"usgs":false,"family":"Lillie","given":"Kate","affiliations":[{"id":17117,"text":"Department of Wildland Resources, Utah State University, Logan","active":true,"usgs":false}],"preferred":false,"id":695268,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilson, Ryan H. 0000-0001-7740-7771","orcid":"https://orcid.org/0000-0001-7740-7771","contributorId":130989,"corporation":false,"usgs":false,"family":"Wilson","given":"Ryan","email":"","middleInitial":"H.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":695269,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":695270,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Terletzky, Pat","contributorId":192063,"corporation":false,"usgs":false,"family":"Terletzky","given":"Pat","affiliations":[{"id":12682,"text":"Utah State University, Logan, UT","active":true,"usgs":false}],"preferred":false,"id":695272,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Miller, Susanne","contributorId":50955,"corporation":false,"usgs":false,"family":"Miller","given":"Susanne","email":"","affiliations":[{"id":13235,"text":"U.S. Fish and Wildlife Service, Marine Mammals Management","active":true,"usgs":false}],"preferred":false,"id":695271,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70188068,"text":"70188068 - 2016 - Status and trends of land change in selected U.S. ecoregions - 2000 to 2011","interactions":[],"lastModifiedDate":"2017-05-30T12:59:37","indexId":"70188068","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Status and trends of land change in selected U.S. ecoregions - 2000 to 2011","docAbstract":"

U.S. Geological Survey scientists developed a dataset of 2006 and 2011 land-use and land-cover (LULC) information for selected 100-km2 sample blocks within 29 U.S. Environmental Protection Agency (EPA) Level III ecoregions across the conterminous United States. The data can be used with the previously published Land Cover Trends Dataset: 1973 to 2000 to assess landuse/land-cover change across a 37-year study period. Results from analysis of these data include ecoregion-based statistical estimates of the amount of LULC change per time period, ranking of the most common types of conversions, rates of change, and percent composition. Overall estimated amount of change per ecoregion from 2001 to 2011 ranged from a low of 370 km2 in the Northern Basin and Range Ecoregion to a high of 78,782 km2 in the Southeastern Plains Ecoregion. The Southeastern Plains continues to encompass one of the most intense forest harvesting and regrowth regions in the country, with 16.6 percent of the ecoregion changing between 2001 and 2011. These LULC change statistics provide a new, valuable resource that complements other reference data and field-verified LULC data. Researchers can use this resource to independently validate other land change products or to conduct regional land change assessments.

","language":"English","publisher":"Ingenta","doi":"10.14358/pers.82.9.687","usgsCitation":"Sayler, K., Acevedo, W., and Taylor, J., 2016, Status and trends of land change in selected U.S. ecoregions - 2000 to 2011: Photogrammetric Engineering and Remote Sensing, v. 82, no. 9, p. 687-697, https://doi.org/10.14358/pers.82.9.687.","productDescription":"11 p.","startPage":"687","endPage":"697","ipdsId":"IP-073747","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":488668,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14358/pers.82.9.687","text":"Publisher Index Page"},{"id":341850,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","issue":"9","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"592e84bae4b092b266f10d3a","contributors":{"authors":[{"text":"Sayler, Kristi L. 0000-0003-2514-242X sayler@usgs.gov","orcid":"https://orcid.org/0000-0003-2514-242X","contributorId":2988,"corporation":false,"usgs":true,"family":"Sayler","given":"Kristi","email":"sayler@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696383,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Acevedo, William wacevedo@usgs.gov","contributorId":2689,"corporation":false,"usgs":true,"family":"Acevedo","given":"William","email":"wacevedo@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696384,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, Janis 0000-0002-9418-5215 jltaylor@usgs.gov","orcid":"https://orcid.org/0000-0002-9418-5215","contributorId":3869,"corporation":false,"usgs":true,"family":"Taylor","given":"Janis ","email":"jltaylor@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":696385,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70160804,"text":"70160804 - 2016 - Addressing potential local adaptation in species distribution models: implications for conservation under climate change","interactions":[],"lastModifiedDate":"2016-06-15T16:12:31","indexId":"70160804","displayToPublicDate":"2015-12-31T13:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Addressing potential local adaptation in species distribution models: implications for conservation under climate change","docAbstract":"

Species distribution models (SDMs) have been criticized for involving assumptions that ignore or categorize many ecologically relevant factors such as dispersal ability and biotic interactions. Another potential source of model error is the assumption that species are ecologically uniform in their climatic tolerances across their range. Typically, SDMs to treat a species as a single entity, although populations of many species differ due to local adaptation or other genetic differentiation. Not taking local adaptation into account, may lead to incorrect range prediction and therefore misplaced conservation efforts. A constraint is that we often do not know the degree to which populations are locally adapted, however. Lacking experimental evidence, we still can evaluate niche differentiation within a species' range to promote better conservation decisions. We explore possible conservation implications of making type I or type II errors in this context. For each of two species, we construct three separate MaxEnt models, one considering the species as a single population and two of disjunct populations. PCA analyses and response curves indicate different climate characteristics in the current environments of the populations. Model projections into future climates indicate minimal overlap between areas predicted to be climatically suitable by the whole species versus population-based models. We present a workflow for addressing uncertainty surrounding local adaptation in SDM application and illustrate the value of conducting population-based models to compare with whole-species models. These comparisons might result in more cautious management actions when alternative range outcomes are considered.

","language":"English","publisher":"Ecological Society of America","doi":"10.1890/15-0926","usgsCitation":"Hallfors, M.H., Liao, J., Dzurisin, J., Grundel, R., Hyvarinen, M., Towle, K., Wu, G.C., and Hellmann, J.J., 2016, Addressing potential local adaptation in species distribution models: implications for conservation under climate change: Ecological Applications, v. 26, no. 4, p. 1154-1169, https://doi.org/10.1890/15-0926.","productDescription":"16 p.","startPage":"1154","endPage":"1169","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064359","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":313139,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-08","publicationStatus":"PW","scienceBaseUri":"568651b3e4b0e7594ee74c9b","contributors":{"authors":[{"text":"Hallfors, Maria Helena","contributorId":151004,"corporation":false,"usgs":false,"family":"Hallfors","given":"Maria","email":"","middleInitial":"Helena","affiliations":[{"id":18162,"text":"University of Helsinki","active":true,"usgs":false}],"preferred":false,"id":583962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liao, Jishan","contributorId":151005,"corporation":false,"usgs":false,"family":"Liao","given":"Jishan","email":"","affiliations":[{"id":16905,"text":"University of Notre Dame, Dept. of Biological Sciences, Notre Dame, IN, 46556, USA","active":true,"usgs":false}],"preferred":false,"id":583963,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dzurisin, Jason D. K.","contributorId":151006,"corporation":false,"usgs":false,"family":"Dzurisin","given":"Jason D. K.","affiliations":[{"id":16905,"text":"University of Notre Dame, Dept. of Biological Sciences, Notre Dame, IN, 46556, USA","active":true,"usgs":false}],"preferred":false,"id":583964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grundel, Ralph 0000-0002-2949-7087 rgrundel@usgs.gov","orcid":"https://orcid.org/0000-0002-2949-7087","contributorId":2444,"corporation":false,"usgs":true,"family":"Grundel","given":"Ralph","email":"rgrundel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583961,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hyvarinen, Marko","contributorId":151007,"corporation":false,"usgs":false,"family":"Hyvarinen","given":"Marko","email":"","affiliations":[{"id":18162,"text":"University of Helsinki","active":true,"usgs":false}],"preferred":false,"id":583965,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Towle, Kevin","contributorId":151008,"corporation":false,"usgs":false,"family":"Towle","given":"Kevin","email":"","affiliations":[{"id":16905,"text":"University of Notre Dame, Dept. of Biological Sciences, Notre Dame, IN, 46556, USA","active":true,"usgs":false}],"preferred":false,"id":583966,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wu, Grace C.","contributorId":151009,"corporation":false,"usgs":false,"family":"Wu","given":"Grace","email":"","middleInitial":"C.","affiliations":[{"id":7102,"text":"University of California, Berkeley, Dept. of Civil & Envir. Engineering","active":true,"usgs":false}],"preferred":false,"id":583967,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hellmann, Jessica J.","contributorId":149219,"corporation":false,"usgs":false,"family":"Hellmann","given":"Jessica","email":"","middleInitial":"J.","affiliations":[{"id":17677,"text":"Department of Biological Sciences, University of Notre Dame, Notre Dame, IN","active":true,"usgs":false}],"preferred":false,"id":583968,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70159495,"text":"70159495 - 2016 - Evolution of mid-Atlantic coastal and back-barrier estuary environments in response to a hurricane: Implications for barrier-estuary connectivity","interactions":[],"lastModifiedDate":"2016-12-14T12:29:43","indexId":"70159495","displayToPublicDate":"2015-12-29T12:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Evolution of mid-Atlantic coastal and back-barrier estuary environments in response to a hurricane: Implications for barrier-estuary connectivity","docAbstract":"

Assessments of coupled barrier island-estuary storm response are rare. Hurricane Sandy made landfall during an investigation in Barnegat Bay-Little Egg Harbor estuary that included water quality monitoring, geomorphologic characterization, and numerical modeling; this provided an opportunity to characterize the storm response of the barrier island-estuary system. Barrier island morphologic response was characterized by significant changes in shoreline position, dune elevation, and beach volume; morphologic changes within the estuary were less dramatic with a net gain of only 200,000 m3 of sediment. When observed, estuarine deposition was adjacent to the back-barrier shoreline or collocated with maximum estuary depths. Estuarine sedimentologic changes correlated well with bed shear stresses derived from numerically simulated storm conditions, suggesting that change is linked to winnowing from elevated storm-related wave-current interactions rather than deposition. Rapid storm-related changes in estuarine water level, turbidity, and salinity were coincident with minima in island and estuarine widths, which may have influenced the location of two barrier island breaches. Barrier-estuary connectivity, or the transport of sediment from barrier island to estuary, was influenced by barrier island land use and width. Coupled assessments like this one provide critical information about storm-related coastal and estuarine sediment transport that may not be evident from investigations that consider only one component of the coastal system.

","language":"English","publisher":"Springer","doi":"10.1007/s12237-015-0057-x","usgsCitation":"Miselis, J.L., Andrews, B., Nicholson, R.S., Defne, Z., Ganju, N., and Navoy, A.S., 2016, Evolution of mid-Atlantic coastal and back-barrier estuary environments in response to a hurricane: Implications for barrier-estuary connectivity: Estuaries and Coasts, v. 39, no. 4, p. 916-934, https://doi.org/10.1007/s12237-015-0057-x.","productDescription":"19 p.","startPage":"916","endPage":"934","numberOfPages":"19","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061843","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471394,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1007/s12237-015-0057-x","text":"External Repository"},{"id":313934,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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anavoy@usgs.gov","contributorId":2464,"corporation":false,"usgs":true,"family":"Navoy","given":"Anthony","email":"anavoy@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":579226,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70160337,"text":"70160337 - 2016 - Spatial capture-recapture models allowing Markovian transience or dispersal","interactions":[],"lastModifiedDate":"2016-01-11T11:10:49","indexId":"70160337","displayToPublicDate":"2015-12-17T15:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3103,"text":"Population Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Spatial capture-recapture models allowing Markovian transience or dispersal","docAbstract":"

Spatial capture–recapture (SCR) models are a relatively recent development in quantitative ecology, and they are becoming widely used to model density in studies of animal populations using camera traps, DNA sampling and other methods which produce spatially explicit individual encounter information. One of the core assumptions of SCR models is that individuals possess home ranges that are spatially stationary during the sampling period. For many species, this assumption is unlikely to be met and, even for species that are typically territorial, individuals may disperse or exhibit transience at some life stages. In this paper we first conduct a simulation study to evaluate the robustness of estimators of density under ordinary SCR models when dispersal or transience is present in the population. Then, using both simulated and real data, we demonstrate that such models can easily be described in the BUGS language providing a practical framework for their analysis, which allows us to evaluate movement dynamics of species using capture–recapture data. We find that while estimators of density are extremely robust, even to pathological levels of movement (e.g., complete transience), the estimator of the spatial scale parameter of the encounter probability model is confounded with the dispersal/transience scale parameter. Thus, use of ordinary SCR models to make inferences about density is feasible, but interpretation of SCR model parameters in relation to movement should be avoided. Instead, when movement dynamics are of interest, such dynamics should be parameterized explicitly in the model.

","language":"English","publisher":"Springer","doi":"10.1007/s10144-015-0524-z","usgsCitation":"Royle, J., Fuller, A.K., and Sutherland, C., 2016, Spatial capture-recapture models allowing Markovian transience or dispersal: Population Ecology, v. 58, no. 1, p. 53-62, https://doi.org/10.1007/s10144-015-0524-z.","productDescription":"10 p.","startPage":"53","endPage":"62","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069359","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":471404,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1007/s10144-015-0524-z","text":"External Repository"},{"id":312465,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-21","publicationStatus":"PW","scienceBaseUri":"5673dcb3e4b0da412f4f81fd","contributors":{"authors":[{"text":"Royle, J. Andrew aroyle@usgs.gov","contributorId":138860,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":582604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":582623,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sutherland, Chris","contributorId":150670,"corporation":false,"usgs":false,"family":"Sutherland","given":"Chris","affiliations":[],"preferred":false,"id":582624,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70160330,"text":"70160330 - 2016 - Structure and spatial patterns of macrobenthic community in Tai Lake, a large shallow lake, China","interactions":[],"lastModifiedDate":"2015-12-17T14:23:38","indexId":"70160330","displayToPublicDate":"2015-12-17T15:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Structure and spatial patterns of macrobenthic community in Tai Lake, a large shallow lake, China","docAbstract":"

Tai Lake (Chinese: Taihu), the third-largest freshwater lake in China, suffers from harmful cyanobacteria blooms that are caused by economic development and population growth near the lake. Several studies have focused on phytoplankton in Tai Lake after a drinking water crisis in 2007; however, these studies primarily focused on microcystin bioaccumulation and toxicity to individual species without examining the effects of microcystin on macrobenthic community diversity. In this study, we conducted a survey of the lake to examine the effects of microcystine and other pollutants on marcobenthic community diversity. A totally of forty-nine species of macroinvertebrates were found in Tai Lake. Limnodrilus hoffmeisteri and Corbicula fluminea were the most abundant species. Cluster-analysis and one-way analysis of similarity (ANOSIM) identified three significantly different macrobenthic communities among the sample sites. More specifically, sites in the eastern bays, where aquatic macrophytes were abundant, had the highest diversity of macrobenthic communities, which were dominated by Bellamya aeruginosa, Bellamya purificata, L. hoffmeisteri, and Alocinma longicornis. Sites in Zhushan Bay contained relatively diverse communities, mainly composed of L. hoffmeisteri, C. fluminea, L. claparederanus, R. sinicus, and Cythura sp. Sites in the western region, Meiliang Bay and Wuli Bay had the lowest diversity, mainly composed ofL. hoffmeisteri, C. fluminea, Branchiura sowerbyi, and Rhyacodrilus sinicus. In addition, the relationships between macrobenthic metrics (Shannon–Wiener, Margalef, and Pielou) and environmental variables showed that community structure and spatial patterns of macrobenthos in Tai Lake were significantly influenced by chemical oxygen demand (CODCr), biochemical oxygen demand (BOD5), lead (Pb), and microcystin-LR (L for leucine and R for arginine). Our findings provide critical information that could help managers and policymakers assess and modify ecological restoration practices.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2015.08.043","usgsCitation":"Li, D., Erickson, R.A., Song Tang, Li, X., Niu, Z., Wang, X., Liu, H., and Yu, H., 2016, Structure and spatial patterns of macrobenthic community in Tai Lake, a large shallow lake, China: Ecological Indicators, v. 61, no. 2, p. 170-187, https://doi.org/10.1016/j.ecolind.2015.08.043.","productDescription":"18 p.","startPage":"170","endPage":"187","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062777","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":312468,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","otherGeospatial":"Tai Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 119.89105224609375,\n 30.935212690426727\n ],\n [\n 119.89105224609375,\n 31.54460103811182\n ],\n [\n 120.59280395507812,\n 31.54460103811182\n ],\n [\n 120.59280395507812,\n 30.935212690426727\n ],\n [\n 119.89105224609375,\n 30.935212690426727\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"61","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5673dcb4e4b0da412f4f8201","contributors":{"authors":[{"text":"Li, Di","contributorId":150650,"corporation":false,"usgs":false,"family":"Li","given":"Di","email":"","affiliations":[{"id":18059,"text":"State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, China","active":true,"usgs":false}],"preferred":false,"id":582573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":582572,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Song Tang","contributorId":150651,"corporation":false,"usgs":false,"family":"Song Tang","affiliations":[{"id":18060,"text":"School of Environment and Sustainability, University of Saskatchewan, Canada","active":true,"usgs":false}],"preferred":false,"id":582574,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Li, Xuwen","contributorId":150652,"corporation":false,"usgs":false,"family":"Li","given":"Xuwen","email":"","affiliations":[{"id":18061,"text":"Jiangsu Environmental Monitoring Center, Nanjing, China","active":true,"usgs":false}],"preferred":false,"id":582575,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Niu, Zhichun","contributorId":150653,"corporation":false,"usgs":false,"family":"Niu","given":"Zhichun","email":"","affiliations":[{"id":18061,"text":"Jiangsu Environmental Monitoring Center, Nanjing, China","active":true,"usgs":false}],"preferred":false,"id":582576,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wang, Xia","contributorId":150654,"corporation":false,"usgs":false,"family":"Wang","given":"Xia","email":"","affiliations":[{"id":18061,"text":"Jiangsu Environmental Monitoring Center, Nanjing, China","active":true,"usgs":false}],"preferred":false,"id":582577,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liu, Hongling","contributorId":150655,"corporation":false,"usgs":false,"family":"Liu","given":"Hongling","email":"","affiliations":[{"id":18059,"text":"State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, China","active":true,"usgs":false}],"preferred":false,"id":582578,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yu, Hongxia","contributorId":150656,"corporation":false,"usgs":false,"family":"Yu","given":"Hongxia","email":"","affiliations":[{"id":18059,"text":"State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, China","active":true,"usgs":false}],"preferred":false,"id":582579,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70160004,"text":"70160004 - 2016 - Comparative demographics of a Hawaiian forest bird community","interactions":[],"lastModifiedDate":"2018-01-04T12:40:53","indexId":"70160004","displayToPublicDate":"2015-12-08T11:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2190,"text":"Journal of Avian Biology","active":true,"publicationSubtype":{"id":10}},"title":"Comparative demographics of a Hawaiian forest bird community","docAbstract":"

Estimates of demographic parameters such as survival and reproductive success are critical for guiding management efforts focused on species of conservation concern. Unfortunately, reliable demographic parameters are difficult to obtain for any species, but especially for rare or endangered species. Here we derived estimates of adult survival and recruitment in a community of Hawaiian forest birds, including eight native species (of which three are endangered) and two introduced species at Hakalau Forest National Wildlife Refuge, Hawaiʻi. Integrated population models (IPM) were used to link mark–recapture data (1994–1999) with long-term population surveys (1987–2008). To our knowledge, this is the first time that IPM have been used to characterize demographic parameters of a whole avian community, and provides important insights into the life history strategies of the community. The demographic data were used to test two hypotheses: 1) arthropod specialists, such as the ‘Akiapōlā‘au Hemignathus munroi, are ‘slower’ species characterized by a greater relative contribution of adult survival to population growth, i.e. lower fecundity and increased adult survival; and 2) a species’ susceptibility to environmental change, as reflected by its conservation status, can be predicted by its life history traits. We found that all species were characterized by a similar population growth rate around one, independently of conservation status, origin (native vs non-native), feeding guild, or life history strategy (as measured by ‘slowness’), which suggested that the community had reached an equilibrium. However, such stable dynamics were achieved differently across feeding guilds, as demonstrated by a significant increase of adult survival and a significant decrease of recruitment along a gradient of increased insectivory, in support of hypothesis 1. Supporting our second hypothesis, we found that slower species were more vulnerable species at the global scale than faster ones. The possible causes and conservation implications of these patterns are discussed.

","language":"English","publisher":"Wiley-Blackwell","doi":"10.1111/jav.00756","usgsCitation":"Guillaumet, A., Woodworth, B., Camp, R., and Paxton, E., 2016, Comparative demographics of a Hawaiian forest bird community: Journal of Avian Biology, v. 47, no. 2, p. 185-196, https://doi.org/10.1111/jav.00756.","productDescription":"12 p.","startPage":"185","endPage":"196","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068685","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":312034,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -160.46630859375,\n 21.69826549685252\n ],\n [\n -158.04931640625,\n 21.238182425982313\n ],\n [\n -156.016845703125,\n 20.004322295998723\n ],\n [\n -156.236572265625,\n 19.590844152960933\n ],\n [\n -155.797119140625,\n 18.760712758499565\n ],\n [\n -154.698486328125,\n 19.46659223220761\n ],\n [\n -155.819091796875,\n 20.80747157680652\n ],\n [\n -157.1484375,\n 21.493963563064455\n ],\n [\n -159.697265625,\n 22.411028521558706\n ],\n [\n -160.59814453125,\n 21.800308050972603\n ],\n [\n -160.46630859375,\n 21.69826549685252\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-22","publicationStatus":"PW","scienceBaseUri":"5667ff38e4b06a3ea36c8e06","chorus":{"doi":"10.1111/jav.00756","url":"http://dx.doi.org/10.1111/jav.00756","publisher":"Wiley-Blackwell","authors":"Guillaumet Alban, Woodworth Bethany L., Camp Richard J., Paxton Eben H.","journalName":"Journal of Avian Biology","publicationDate":"11/22/2015","auditedOn":"3/28/2016"},"contributors":{"authors":[{"text":"Guillaumet, Alban","contributorId":150397,"corporation":false,"usgs":false,"family":"Guillaumet","given":"Alban","email":"","affiliations":[{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":581523,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woodworth, Bethany L.","contributorId":66797,"corporation":false,"usgs":true,"family":"Woodworth","given":"Bethany L.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":581524,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Camp, Richard J.","contributorId":27392,"corporation":false,"usgs":true,"family":"Camp","given":"Richard J.","affiliations":[],"preferred":false,"id":581525,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paxton, Eben H. 0000-0001-5578-7689 epaxton@usgs.gov","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":438,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben H.","email":"epaxton@usgs.gov","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":false,"id":581522,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70160002,"text":"70160002 - 2016 - Evidence of estrogenic endocrine disruption in smallmouth and largemouth bass inhabiting Northeast U.S. National Wildlife Refuge waters: A reconnaissance study","interactions":[],"lastModifiedDate":"2018-08-07T12:44:08","indexId":"70160002","displayToPublicDate":"2015-12-08T11:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1480,"text":"Ecotoxicology and Environmental Safety","active":true,"publicationSubtype":{"id":10}},"title":"Evidence of estrogenic endocrine disruption in smallmouth and largemouth bass inhabiting Northeast U.S. National Wildlife Refuge waters: A reconnaissance study","docAbstract":"

Intersex as the manifestation of testicular oocytes (TO) in male gonochoristic fishes has been used as an indicator of estrogenic exposure. Here we evaluated largemouth bass (Micropterus salmoides) or smallmouth bass (Micropterus dolomieu) form 19 National Wildlife Refuges (NWRs) in the Northeast U.S. inhabiting waters on or near NWR lands for evidence of estrogenic endocrine disruption. Waterbodies sampled included rivers, lakes, impoundments, ponds, and reservoirs. Here we focus on evidence of endocrine disruption in male bass evidenced by gonad histopathology including intersex or abnormal plasma vitellogenin (Vtg) concentrations. During the fall seasons of 2008–2010, we collected male smallmouth bass (n=118) from 12 sites and largemouth bass (n=173) from 27 sites. Intersex in male smallmouth bass was observed at all sites and ranged from 60% to 100%; in male largemouth bass the range was 0–100%. Estrogenicity, as measured using a bioluminescent yeast reporter, was detected above the probable no effects concentration (0.73 ng/L) in ambient water samples from 79% of the NWR sites. Additionally, the presence of androgen receptor and glucocorticoid receptor ligands were noted as measured via novel nuclear receptor translocation assays. Mean plasma Vtg was elevated (>0.2 mg/ml) in male smallmouth bass at four sites and in male largemouth bass at one site. This is the first reconnaissance survey of this scope conducted on US National Wildlife Refuges. The baseline data collected here provide a necessary benchmark for future monitoring and justify more comprehensive NWR-specific studies.

","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.ecoenv.2015.09.035","usgsCitation":"Iwanowicz, L., Blazer, V., Pinkney, A., Guy, C., Major, A., Munney, K., Mierzykowski, S., Lingenfelser, S., Secord, A., Patnode, K., Kubiak, T., Stern, C., Hahn, C.M., Iwanowicz, D.D., Walsh, H.L., and Sperry, A.J., 2016, Evidence of estrogenic endocrine disruption in smallmouth and largemouth bass inhabiting Northeast U.S. National Wildlife Refuge waters: A reconnaissance study: Ecotoxicology and Environmental Safety, v. 124, p. 50-59, https://doi.org/10.1016/j.ecoenv.2015.09.035.","productDescription":"10 p.","startPage":"50","endPage":"59","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059732","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":312035,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Ohio, Pennsylvannia, Vermont, Virginia, West Virginia","otherGeospatial":"Assabet River, Back Bay, Blackwater, Cherry Valley, Erie, Great Bay, Great Meadows, Great Swamp, John Heinzat Tinicum, Mason Neck, Missisquoi, Montezuma, Moosehorn, Ohio River Islands, Patuxent, Rappahannock, Sunkhaze, Umbagog, Wallkill","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.103515625,\n 45.321254361171476\n ],\n [\n -67.43408203124999,\n 45.583289756006316\n ],\n [\n -67.39013671875,\n 45.321254361171476\n ],\n [\n -67.1044921875,\n 45.182036837015886\n ],\n [\n -66.8408203125,\n 44.66865287227321\n ],\n [\n -68.48876953125,\n 44.10336537791152\n ],\n [\n -69.76318359375,\n 43.67581809328344\n ],\n [\n -70.46630859375,\n 43.42100882994726\n ],\n [\n -70.7080078125,\n 42.553080288955826\n ],\n [\n -71.103515625,\n 42.04929263868686\n ],\n [\n -71.8505859375,\n 41.27780646738183\n ],\n [\n -74.02587890625,\n 40.58058466412764\n ],\n [\n -75.5419921875,\n 39.436192999314095\n ],\n [\n -75.95947265625,\n 38.993572058209466\n ],\n [\n -75.87158203125,\n 37.996162679728116\n ],\n [\n -75.65185546874999,\n 36.82687474287728\n ],\n [\n -75.89355468749999,\n 36.38591277287651\n ],\n [\n -77.36572265625,\n 36.56260003738548\n ],\n [\n -79.0576171875,\n 38.993572058209466\n ],\n [\n -80.79345703125,\n 39.67337039176558\n ],\n [\n -81.49658203125,\n 40.27952566881291\n ],\n [\n -81.32080078125,\n 41.492120839687786\n ],\n [\n -80.61767578124999,\n 42.04929263868686\n ],\n [\n -77.49755859375,\n 43.34116005412307\n ],\n [\n -76.13525390624999,\n 43.50075243569041\n ],\n [\n -73.32275390625,\n 45.213003555993964\n ],\n [\n -71.103515625,\n 45.321254361171476\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"124","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5667ff39e4b06a3ea36c8e0a","contributors":{"authors":[{"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. 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0000-0002-4815-3730 asperry@usgs.gov","orcid":"https://orcid.org/0000-0002-4815-3730","contributorId":5872,"corporation":false,"usgs":true,"family":"Sperry","given":"Adam","email":"asperry@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":581512,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70160216,"text":"70160216 - 2016 - Species and tissue type regulate long-term decomposition of brackish marsh plants grown under elevated CO2 conditions","interactions":[],"lastModifiedDate":"2021-08-24T14:59:45.425641","indexId":"70160216","displayToPublicDate":"2015-12-08T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Species and tissue type regulate long-term decomposition of brackish marsh plants grown under elevated CO2 conditions","title":"Species and tissue type regulate long-term decomposition of brackish marsh plants grown under elevated CO2 conditions","docAbstract":"

Organic matter accumulation, the net effect of plant production and decomposition, contributes to vertical soil accretion in coastal wetlands, thereby playing a key role in whether they keep pace with sea-level rise. Any factor that affects decomposition may affect wetland accretion, including atmospheric CO2 concentrations. Higher CO2 can influence decomposition rates by altering plant tissue chemistry or by causing shifts in plant species composition or biomass partitioning. A combined greenhouse-field experiment examined how elevated CO2 affected plant tissue chemistry and subsequent decomposition of above- and belowground tissues of two common brackish marsh species, Schoenoplectus americanus (C3) and Spartina patens (C4). Both species were grown in monoculture and in mixture under ambient (350-385 μL L-1) or elevated (ambient + 300 μL L-1) atmospheric CO2 conditions, with all other growth conditions held constant, for one growing season. Above- and belowground tissues produced under these treatments were decomposed under ambient field conditions in a brackish marsh in the Mississippi River Delta, USA. Elevated CO2 significantly reduced nitrogen content of S. americanus, but not sufficiently to affect subsequent decomposition. Instead, long-term decomposition (percent mass remaining after 280 d) was controlled by species composition and tissue type. Shoots of S. patens had more mass remaining (41 ± 2%) than those of S. americanus (12 ± 2 %). Belowground material decomposed more slowly than that placed aboveground (62 ± 1% vs. 23 ± 3% mass remaining), but rates belowground did not differ between species. Increases in atmospheric CO2concentration will likely have a greater effect on overall decomposition in this brackish marsh community through shifts in species dominance or biomass allocation than through effects on tissue chemistry. Consequent changes in organic matter accumulation may alter marsh capacity to accommodate sea-level rise through vertical accretion.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2015.11.033","usgsCitation":"Jones, J.A., Cherry, J., and McKee, K.L., 2016, Species and tissue type regulate long-term decomposition of brackish marsh plants grown under elevated CO2 conditions: Estuarine, Coastal and Shelf Science, v. 169, p. 38-45, https://doi.org/10.1016/j.ecss.2015.11.033.","productDescription":"8 p.","startPage":"38","endPage":"45","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064638","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":312238,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Big Branch Marsh National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90,\n 30.24\n ],\n [\n -90,\n 30.3\n ],\n [\n -89.9,\n 30.3\n ],\n [\n -89.9,\n 30.24\n ],\n [\n -90,\n 30.24\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"169","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"566ff657e4b09cfe53ca79ca","contributors":{"authors":[{"text":"Jones, Joshua A","contributorId":150553,"corporation":false,"usgs":false,"family":"Jones","given":"Joshua","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":582099,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cherry, Julia A","contributorId":150554,"corporation":false,"usgs":false,"family":"Cherry","given":"Julia A","affiliations":[{"id":33913,"text":"Univ. of Alabama, Tuscaloosa, AL","active":true,"usgs":false}],"preferred":false,"id":582100,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKee, Karen L. 0000-0001-7042-670X mckeek@usgs.gov","orcid":"https://orcid.org/0000-0001-7042-670X","contributorId":704,"corporation":false,"usgs":true,"family":"McKee","given":"Karen","email":"mckeek@usgs.gov","middleInitial":"L.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":582054,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70170134,"text":"70170134 - 2016 - Brook trout passage performance through culverts","interactions":[],"lastModifiedDate":"2016-04-08T09:09:39","indexId":"70170134","displayToPublicDate":"2015-12-01T10:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Brook trout passage performance through culverts","docAbstract":"

Culverts can restrict access to habitat for stream-dwelling fishes. We used passive integrated transponder telemetry to quantify passage performance of >1000 wild brook trout (Salvelinus fontinalis) attempting to pass 13 culverts in Quebec under a range of hydraulic and environmental conditions. Several variables influenced passage success, including complex interactions between physiology and behavior, hydraulics, and structural characteristics. The probability of successful passage was greater through corrugated metal culverts than through smooth ones, particularly among smaller fish. Trout were also more likely to pass at warmer temperatures, but this effect diminished above 15 °C. Passage was impeded at higher flows, through culverts with steep slopes, and those with deep downstream pools. This study provides insight on factors influencing brook trout capacity to pass culverts as well as a model to estimate passage success under various conditions, with an improved resolution and accuracy over existing approaches. It also presents methods that could be used to investigate passage success of other species, with implications for connectivity of the riverscape.

","language":"English","publisher":"National Research Council Canada","publisherLocation":"Ottawa","doi":"10.1139/cjfas-2015-0089","collaboration":"Institut National de la Recherche Scientifique (Quebec, Canada)","usgsCitation":"Goerig, E., Castro-Santos, T.R., and Bergeron, N., 2016, Brook trout passage performance through culverts: Canadian Journal of Fisheries and Aquatic Sciences, v. 73, no. 1, p. 94-104, https://doi.org/10.1139/cjfas-2015-0089.","productDescription":"11 p.","startPage":"94","endPage":"104","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066023","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":471418,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2015-0089","text":"External Repository"},{"id":319896,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"73","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"572485c1e4b0b13d39159359","contributors":{"authors":[{"text":"Goerig, Elsa","contributorId":168522,"corporation":false,"usgs":false,"family":"Goerig","given":"Elsa","email":"","affiliations":[{"id":25321,"text":"Institut National de la Recherche Scientifique","active":true,"usgs":false}],"preferred":false,"id":626256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Castro-Santos, Theodore R. 0000-0003-2575-9120 tcastrosantos@usgs.gov","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":3321,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","email":"tcastrosantos@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":626255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bergeron, Normand","contributorId":168523,"corporation":false,"usgs":false,"family":"Bergeron","given":"Normand","affiliations":[{"id":25321,"text":"Institut National de la Recherche Scientifique","active":true,"usgs":false}],"preferred":false,"id":626257,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70160541,"text":"70160541 - 2016 - Water availability and land subsidence in the Central Valley, California, USA","interactions":[],"lastModifiedDate":"2016-04-28T13:06:13","indexId":"70160541","displayToPublicDate":"2015-11-17T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Water availability and land subsidence in the Central Valley, California, USA","docAbstract":"

The Central Valley in California (USA) covers about 52,000 km2 and is one of the most productive agricultural regions in the world. This agriculture relies heavily on surface-water diversions and groundwater pumpage to meet irrigation water demand. Because the valley is semi-arid and surface-water availability varies substantially, agriculture relies heavily on local groundwater. In the southern two thirds of the valley, the San Joaquin Valley, historic and recent groundwater pumpage has caused significant and extensive drawdowns, aquifer-system compaction and subsidence. During recent drought periods (2007–2009 and 2012-present), groundwater pumping has increased owing to a combination of decreased surface-water availability and land-use changes. Declining groundwater levels, approaching or surpassing historical low levels, have caused accelerated and renewed compaction and subsidence that likely is mostly permanent. The subsidence has caused operational, maintenance, and construction-design problems for water-delivery and flood-control canals in the San Joaquin Valley. Planning for the effects of continued subsidence in the area is important for water agencies. As land use, managed aquifer recharge, and surface-water availability continue to vary, long-term groundwater-level and subsidence monitoring and modelling are critical to understanding the dynamics of historical and continued groundwater use resulting in additional water-level and groundwater storage declines, and associated subsidence. Modeling tools such as the Central Valley Hydrologic Model, can be used in the evaluation of management strategies to mitigate adverse impacts due to subsidence while also optimizing water availability. This knowledge will be critical for successful implementation of recent legislation aimed toward sustainable groundwater use.

","language":"English","publisher":"Springer","doi":"10.1007/s10040-015-1339-x","usgsCitation":"Faunt, C., Sneed, M., Traum, J.A., and Brandt, J.T., 2016, Water availability and land subsidence in the Central Valley, California, USA: Hydrogeology Journal, v. 24, no. 3, p. 675-684, https://doi.org/10.1007/s10040-015-1339-x.","productDescription":"10 p.","startPage":"675","endPage":"684","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067128","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":471426,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10040-015-1339-x","text":"Publisher Index Page"},{"id":312732,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Joaquin Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.26684570312499,\n 40.85537053192494\n ],\n [\n -121.86035156249999,\n 40.75557964275591\n ],\n [\n -121.75048828124999,\n 40.538851525354644\n ],\n [\n -121.640625,\n 40.26276066437183\n ],\n [\n -121.4208984375,\n 39.757879992021756\n ],\n [\n -121.014404296875,\n 39.0533181067413\n ],\n [\n -120.70678710937499,\n 38.38472766885085\n ],\n [\n -120.11352539062499,\n 37.83148014503288\n ],\n [\n -119.72900390625001,\n 37.43997405227057\n ],\n [\n -118.927001953125,\n 36.76529191711624\n ],\n [\n -118.564453125,\n 36.2354121683998\n ],\n [\n -118.43261718749999,\n 35.60371874069731\n ],\n [\n -118.487548828125,\n 35.06597313798418\n ],\n [\n -119.00390625,\n 34.786739162702524\n ],\n [\n -119.69604492187499,\n 34.939985151560435\n ],\n [\n -120.59692382812499,\n 35.8356283888737\n ],\n [\n -121.73950195312499,\n 37.43997405227057\n ],\n [\n -122.44262695312501,\n 38.70265930723801\n ],\n [\n -123.211669921875,\n 40.111688665595956\n ],\n [\n -123.06884765625,\n 40.85537053192494\n ],\n [\n -122.67333984374999,\n 41.03793062246529\n ],\n [\n -122.26684570312499,\n 40.85537053192494\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"24","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-17","publicationStatus":"PW","scienceBaseUri":"567a8246e4b0a04ef490fd20","contributors":{"authors":[{"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":583087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sneed, Michelle 0000-0002-8180-382X micsneed@usgs.gov","orcid":"https://orcid.org/0000-0002-8180-382X","contributorId":155,"corporation":false,"usgs":true,"family":"Sneed","given":"Michelle","email":"micsneed@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":583088,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Traum, Jonathan A. 0000-0002-4787-3680 jtraum@usgs.gov","orcid":"https://orcid.org/0000-0002-4787-3680","contributorId":4780,"corporation":false,"usgs":true,"family":"Traum","given":"Jonathan","email":"jtraum@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":583089,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brandt, Justin T. 0000-0002-9397-6824 jbrandt@usgs.gov","orcid":"https://orcid.org/0000-0002-9397-6824","contributorId":157,"corporation":false,"usgs":true,"family":"Brandt","given":"Justin","email":"jbrandt@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":583090,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70159687,"text":"70159687 - 2016 - Drifting to oblivion? Rapid genetic differentiation in an endangered lizard following habitat fragmentation and drought","interactions":[],"lastModifiedDate":"2016-03-03T11:03:26","indexId":"70159687","displayToPublicDate":"2015-11-13T11:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Drifting to oblivion? Rapid genetic differentiation in an endangered lizard following habitat fragmentation and drought","docAbstract":"
\n

Aim

\n
\n

The frequency and severity of habitat alterations and disturbance are predicted to increase in upcoming decades, and understanding how disturbance affects population integrity is paramount for adaptive management. Although rarely is population genetic sampling conducted at multiple time points, pre- and post-disturbance comparisons may provide one of the clearest methods to measure these impacts. We examined how genetic properties of the federally threatened Coachella Valley fringe-toed lizard (Uma inornata) responded to severe drought and habitat fragmentation across its range.

\n
\n
\n
\n

Location

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\n

Coachella Valley, California, USA.

\n
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\n

Methods

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\n

We used 11 microsatellites to examine population genetic structure and diversity in 1996 and 2008, before and after a historic drought. We used Bayesian assignment methods and F-statistics to estimate genetic structure. We compared allelic richness across years to measure loss of genetic diversity and employed approximate Bayesian computing methods and heterozygote excess tests to explore the recent demographic history of populations. Finally, we compared effective population size across years and to abundance estimates to determine whether diversity remained low despite post-drought recovery.

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\n
\n
\n

Results

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\n

Genetic structure increased between sampling periods, likely as a result of population declines during the historic drought of the late 1990s–early 2000s, and habitat loss and fragmentation that precluded post-drought genetic rescue. Simulations supported recent demographic declines in 3 of 4 main preserves, and in one preserve, we detected significant loss of allelic richness. Effective population sizes were generally low across the range, with estimates ≤100 in most sites.

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\n
\n

Main conclusions

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\n

Fragmentation and drought appear to have acted synergistically to induce genetic change over a short time frame. Progressive deterioration of connectivity, low Ne and measurable loss of genetic diversity suggest that conservation efforts have not maintained the genetic integrity of this species. Genetic sampling over time can help evaluate population trends to guide management.

\n
\n
","language":"English","publisher":"Wiley Interscience","publisherLocation":"Hoboken, NJ","doi":"10.1111/ddi.12398","usgsCitation":"Vandergast, A.G., Wood, D.A., Thompson, A.R., Fisher, M., Barrows, C.W., and Grant, T.J., 2016, Drifting to oblivion? Rapid genetic differentiation in an endangered lizard following habitat fragmentation and drought: Diversity and Distributions, v. 22, no. 3, p. 344-357, https://doi.org/10.1111/ddi.12398.","productDescription":"14 p.","startPage":"344","endPage":"357","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066478","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":471429,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.12398","text":"Publisher Index Page"},{"id":311482,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-13","publicationStatus":"PW","scienceBaseUri":"564daf4ae4b0112df6c62e08","contributors":{"authors":[{"text":"Vandergast, Amy G. 0000-0002-7835-6571 avandergast@usgs.gov","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":3963,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","email":"avandergast@usgs.gov","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":580086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Dustin A. 0000-0002-7668-9911 dawood@usgs.gov","orcid":"https://orcid.org/0000-0002-7668-9911","contributorId":4179,"corporation":false,"usgs":true,"family":"Wood","given":"Dustin","email":"dawood@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":580087,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Andrew R.","contributorId":149935,"corporation":false,"usgs":false,"family":"Thompson","given":"Andrew","email":"","middleInitial":"R.","affiliations":[{"id":17856,"text":"National Marine Fisheries Service, NOAA","active":true,"usgs":false}],"preferred":false,"id":580088,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fisher, Mark","contributorId":149936,"corporation":false,"usgs":false,"family":"Fisher","given":"Mark","affiliations":[{"id":17857,"text":"UC Natural Reserve System, Indian Wells, CA","active":true,"usgs":false}],"preferred":false,"id":580089,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barrows, Cameron W.","contributorId":149937,"corporation":false,"usgs":false,"family":"Barrows","given":"Cameron","email":"","middleInitial":"W.","affiliations":[{"id":6984,"text":"UC Riverside","active":true,"usgs":false}],"preferred":false,"id":580090,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grant, Tyler J.","contributorId":149938,"corporation":false,"usgs":false,"family":"Grant","given":"Tyler","email":"","middleInitial":"J.","affiliations":[{"id":17858,"text":"Iowa State U, Ames, IA","active":true,"usgs":false}],"preferred":false,"id":580091,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}