Obtaining accurate information on the distribution, density, and abundance of animals is an important first step toward their conservation. Methodological approaches using automatic acoustic recorders for species that communicate acoustically are gaining increased interest because of their advantages over traditional sampling methods. In this study, we created and evaluated a protocol to estimate population density, which can be used to compute abundance of terrestrial sound-producing animals from single automatic acoustic recorders and using an automatic detection algorithm. The protocol uses cue rates from the target species, environmental conditions, and an estimate of the distance of the individual to the recorder based on the power of the received sound. We applied our protocol to estimate the density of a Hawaiian forest bird species (Hawaiˊi ˊAmakihi [Chlorodrepanis virens]) on the island of Hawaiˊi, USA. We validated our approach by comparing our density estimates with those calculated at the same stations using a traditional point-transect distance sampling method based on human observations. Overall density estimates based on recorded signals were lower than those based on human observations, but 95% confidence intervals of the two density estimates overlapped. This study presents a relatively simple but effective protocol for estimating animal density using single automatic acoustic recorders. Our protocol may easily be adapted to other sound-emitting terrestrial animals.
","language":"English","publisher":"Society of Canadian Ornithologists and Bird Studies Canada","doi":"10.5751/ACE-01224-130207","usgsCitation":"Sebastian-Gonzalez, E., Camp, R.J., Tanimoto, A.M., Monteiro de Oliveira, P., Lima, B.B., Marques, T.A., and Hart, P.J., 2018, Density estimation of sound-producing terrestrial animals using single automatic acoustic recorders and distance sampling: Avian Conservation and Ecology, v. 13, no. 2, Article 7;16 p., https://doi.org/10.5751/ACE-01224-130207.","productDescription":"Article 7;16 p.","ipdsId":"IP-084821","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":468550,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/ace-01224-130207","text":"Publisher Index Page"},{"id":437806,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7PZ571Q","text":"USGS data release","linkHelpText":"Hakalau Bioacoustic Surveys and Models 2015"},{"id":356691,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a296e4b0702d0e842f77","contributors":{"authors":[{"text":"Sebastian-Gonzalez, Esther","contributorId":207222,"corporation":false,"usgs":false,"family":"Sebastian-Gonzalez","given":"Esther","email":"","affiliations":[{"id":37485,"text":"University of Hawai‘i - Hilo","active":true,"usgs":false}],"preferred":false,"id":743216,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":743215,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tanimoto, Ann M.","contributorId":206225,"corporation":false,"usgs":false,"family":"Tanimoto","given":"Ann","email":"","middleInitial":"M.","affiliations":[{"id":37291,"text":"University of Hawaii at Hilo","active":true,"usgs":false}],"preferred":false,"id":743217,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Monteiro de Oliveira, Priscilla","contributorId":207223,"corporation":false,"usgs":false,"family":"Monteiro de Oliveira","given":"Priscilla","email":"","affiliations":[{"id":37485,"text":"University of Hawai‘i - Hilo","active":true,"usgs":false}],"preferred":false,"id":743218,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lima, Bruna Barreto","contributorId":207224,"corporation":false,"usgs":false,"family":"Lima","given":"Bruna","email":"","middleInitial":"Barreto","affiliations":[{"id":37485,"text":"University of Hawai‘i - Hilo","active":true,"usgs":false}],"preferred":false,"id":743219,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Marques, Tiago A.","contributorId":194662,"corporation":false,"usgs":false,"family":"Marques","given":"Tiago","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":743220,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hart, Patrick J.","contributorId":147728,"corporation":false,"usgs":false,"family":"Hart","given":"Patrick","email":"","middleInitial":"J.","affiliations":[{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":743221,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70249426,"text":"70249426 - 2018 - Assessing recovery and change in West Africa's rainfall regime from a 161-year record","interactions":[],"lastModifiedDate":"2023-10-06T14:27:19.153617","indexId":"70249426","displayToPublicDate":"2018-08-01T09:21:52","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2032,"text":"International Journal of Climatology","active":true,"publicationSubtype":{"id":10}},"title":"Assessing recovery and change in West Africa's rainfall regime from a 161-year record","docAbstract":"The Sahel region is known for the multi-decadal occurrence of severe drought that commenced in the late 1960s. A still open question is whether or not the region's rainfall has returned to “normal.” This paper provides a compelling answer to that question by examining the longest and most comprehensive gauge series for the region ever published. It extends from 1854 to 2014 and is based on 602 gauge records. A comparative series for the Guinea Coast region to the south is also presented, as the two regions collectively provide insight into the long-term variability of the West African monsoon. In contrast to many previous studies, here the question of recovery and regime change is not restricted to the core of the Sahelian rainy season (July–September), but is separately discussed also for the coastal phase (April–May), transition phase (June), Sahelian phase (July–September) and the second transition phase (October–November) of the West African monsoon.
These analyses suggest that full recovery from the droughts of the 1970s and 1980s has not occurred that a major change in the rainfall regime occurred around 1968 and that since that time large-scale teleconnections have also changed markedly. The shift post-1968 is evident in all phases of the monsoon except the coastal phase, in which a change to drier conditions occurred a decade later. Overall, recovery has been greater in the east than in the west, creating a change in the climatological east–west rainfall gradient. The drier post-1968 conditions appear to be associated with a general weakening of the intensity of the West African monsoon and only a small southwards displacement of the rainfall maximum. These changes have strong implications for the future of this region and for seasonal prediction.
","language":"English","publisher":"Wiley","doi":"10.1002/joc.5530","usgsCitation":"Nicholson, S.E., Fink, A.H., and Funk, C., 2018, Assessing recovery and change in West Africa's rainfall regime from a 161-year record: International Journal of Climatology, v. 38, no. 10, p. 3770-3786, https://doi.org/10.1002/joc.5530.","productDescription":"17 p.","startPage":"3770","endPage":"3786","ipdsId":"IP-086842","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":468551,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/joc.5530","text":"Publisher Index Page"},{"id":421735,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Africa, Guinea Coast, Sahel Region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 30.315250472382473,\n 4.078787155626429\n ],\n [\n 31.915610101466626,\n 14.842347825676555\n ],\n [\n 26.531825246528854,\n 14.105026089024449\n ],\n [\n 21.336492604206967,\n 16.024782890492148\n ],\n [\n 16.697220024710674,\n 14.723590580760956\n ],\n [\n 12.556348910502322,\n 14.615287608503579\n ],\n [\n 10.712401346483915,\n 15.726596110570043\n ],\n [\n 8.524450547316292,\n 15.377096676363351\n ],\n [\n 7.416033843113922,\n 15.965806407042393\n ],\n [\n 5.711427841838571,\n 16.688280405976954\n ],\n [\n 3.6548846523674854,\n 16.679862589098093\n ],\n [\n 2.5955287134533194,\n 16.411279502054384\n ],\n [\n 2.069813648711488,\n 16.677134177332647\n ],\n [\n -1.970180592623393,\n 16.95265846800592\n ],\n [\n -4.315876691698747,\n 17.034958439547864\n ],\n [\n -6.740139399835243,\n 16.72158835625224\n ],\n [\n -8.110770798207085,\n 17.483387165329475\n ],\n [\n -10.202049252895762,\n 17.24297843515248\n ],\n [\n -12.197183642602141,\n 17.62306763371096\n ],\n [\n -16.264608701265416,\n 17.929023603330293\n ],\n [\n -17.2566331029561,\n 15.797742531630362\n ],\n [\n -18.022573429442588,\n 14.578012798794077\n ],\n [\n -17.095856480003476,\n 14.158690296247713\n ],\n [\n -16.932541020411918,\n 12.21289850607964\n ],\n [\n -13.577101044876002,\n 9.342175960154705\n ],\n [\n -14.017335806801498,\n 8.305849623280224\n ],\n [\n -12.267586827160045,\n 7.112366421008261\n ],\n [\n -8.617412688803654,\n 4.136019628853816\n ],\n [\n -7.11199844889515,\n 4.037342564465192\n ],\n [\n -5.4414849875676055,\n 4.688479682155531\n ],\n [\n -4.106028388903411,\n 5.077960421279158\n ],\n [\n -2.2713287686964634,\n 4.532024166426396\n ],\n [\n -1.0181590763882014,\n 4.788194083165294\n ],\n [\n 0.4807328334825911,\n 5.2902653642643855\n ],\n [\n 1.7294376529688122,\n 5.91267264775648\n ],\n [\n 3.8563794388556687,\n 5.970975735861657\n ],\n [\n 4.481563895911194,\n 5.59523818372044\n ],\n [\n 5.605189867347036,\n 4.156317681920129\n ],\n [\n 8.521513676665109,\n 4.187916784370586\n ],\n [\n 15.20150432883213,\n 3.8019257884348576\n ],\n [\n 22.485319520279006,\n 3.819600214857985\n ],\n [\n 30.315250472382473,\n 4.078787155626429\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"38","issue":"10","noUsgsAuthors":false,"publicationDate":"2018-04-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Nicholson, Sharon E.","contributorId":192112,"corporation":false,"usgs":false,"family":"Nicholson","given":"Sharon","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":885575,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fink, Andreas H. 0000-0002-5840-2120","orcid":"https://orcid.org/0000-0002-5840-2120","contributorId":330680,"corporation":false,"usgs":false,"family":"Fink","given":"Andreas","email":"","middleInitial":"H.","affiliations":[{"id":78964,"text":"University of Cologne: Cologne, Germany","active":true,"usgs":false}],"preferred":false,"id":885576,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Funk, Chris 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":167070,"corporation":false,"usgs":true,"family":"Funk","given":"Chris","email":"cfunk@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":885577,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70198868,"text":"70198868 - 2018 - Quantifying population-level effects of water temperature, flow velocity and chemical-induced reproduction depression: A simulation study with smallmouth bass","interactions":[],"lastModifiedDate":"2018-08-22T08:53:46","indexId":"70198868","displayToPublicDate":"2018-08-01T08:50:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying population-level effects of water temperature, flow velocity and chemical-induced reproduction depression: A simulation study with smallmouth bass","docAbstract":"Evaluating stochastic abiotic factors and their combined effects on fish and wildlife populations have been challenging in environmental sciences. Contributing to this challenge is the paucity of data describing how observations made on individuals related to exposure to chemical compounds ultimately effect population vital rates, and how this exposure interacts with other abiotic drivers. Using three smallmouth bass populations in Pennsylvania as a case study, we explored both single-factor and combined effects of water temperature, flow velocity and chemical exposure on populations through a model simulation. Although there are many pathways through which chemicals can affect population vital rates, we focused on one where chemical exposure leads to reduced reproduction. Among the three populations considered, two (the Juniata and Susquehanna populations) have experienced adverse health, including the potential adverse effects of environmental stress and chemical contamination that may cause disease and mortality of young-of-year (YOY), various skin lesions and a high prevalence of intersex or testicular oocytes in adults. The third population (The Alleghany population) has not encountered mortality events of YOY and intersex prevalence is much lower. The simulation involved projecting populations using a length-based model under different environmental conditions. In the simulations, abiotic factors influenced population dynamics through their impacts on growth, survival and recruitment. Response to the same environmental stress varied by population and life-stage of the species. Factors affecting young adult and adult life-stages had great influence on proportional stock density (PSD) and the probability of having PSD within the suggested range (PSD probability). Increases in water temperature had a negative effect and dominant role in the combined effect on population size structure (e.g., PSD and PSD probability) – increases in flow velocity during the spring season also had a negative effect on abundance. Populations with high recruitment rates sustained relatively large population size, even under high water temperature and/or high flow velocity, which suggests that factors and management strategies that benefit recruitment (such as reduced chemical contaminants) may compensate for the negative effects of warming water temperatures and high spring flow velocity on population size.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2018.06.015","usgsCitation":"Wagner, T., Blazer, V., and Li, Y., 2018, Quantifying population-level effects of water temperature, flow velocity and chemical-induced reproduction depression: A simulation study with smallmouth bass: Ecological Modelling, v. 384, p. 63-74, https://doi.org/10.1016/j.ecolmodel.2018.06.015.","productDescription":"12 p.","startPage":"63","endPage":"74","ipdsId":"IP-090125","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":356687,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"384","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a296e4b0702d0e842f79","contributors":{"authors":[{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":743181,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":743182,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Yan","contributorId":207211,"corporation":false,"usgs":false,"family":"Li","given":"Yan","email":"","affiliations":[{"id":37478,"text":"North Carolinz Division of Marine Fisheries","active":true,"usgs":false}],"preferred":false,"id":743183,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70263863,"text":"70263863 - 2018 - High resolution measurement of levee subsidence related to energy infrastructure in the Sacramento-San Joaquin Delta","interactions":[],"lastModifiedDate":"2025-02-27T14:40:13.489367","indexId":"70263863","displayToPublicDate":"2018-08-01T08:26:40","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesNumber":"CCCA4-CEC-2018-003","title":"High resolution measurement of levee subsidence related to energy infrastructure in the Sacramento-San Joaquin Delta","docAbstract":"We assess flood overtopping potential (when flood water elevation exceeds levee elevation) to the levees surrounding the islands in the interior of California's Sacramento-San Joaquin Delta. Because critical natural gas infrastructure is susceptible to overtopping-related disruption, we focus our analysis on regions that are crossed by the network of the state's natural gas pipelines. We use laser scanning data collected during 2015-2016 to estimate subsidence rates since 2007 when an earlier, Delta-wide, airborne laser-scanning topographic dataset was collected. For each levee studied, we combine: (1) the estimated subsidence rate, (2) a conservative range of sea-level rise projections and, (3) an estimate of the 100-year freshwater flood stage to project the time until exceedance of the federal levee height standard (PL84-99). We find that subsidence rates vary from 0-5 centimeters per year (cm/yr) with mean values of ~1-2 cm/year. Local gradients in subsidence can be on the order of cms/yr over a distance of 10s of meters parallel to the levee crests, and these types of gradients are present near some pipeline crossings. The Sherman Island region has subsidence rates close to a factor of 2 greater than other areas considered. Our projections indicate general ranges of exceedance date from about 2060 (fast sea-level rise scenario) to 2080 (slow sea-level rise scenario) with some places projected to exceed threshold by about 2050.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"California’s fourth climate change assessment","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"language":"English","publisher":"California Energy Commission","usgsCitation":"Brooks, B.A., Telling, J., Ericksen, T., Glennie, C.L., Knowles, N., Cayan, D., Hauser, D.L., and LeWinter, A., 2018, High resolution measurement of levee subsidence related to energy infrastructure in the Sacramento-San Joaquin Delta, vii, 51 p.","productDescription":"vii, 51 p.","ipdsId":"IP-097844","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":482492,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://climateassessment.ca.gov/techreports/full-list.html","linkFileType":{"id":5,"text":"html"}},{"id":482552,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.25,\n 38.375\n ],\n [\n -122.1,\n 38.375\n ],\n [\n -122.1,\n 37.75\n ],\n [\n -121.25,\n 37.75\n ],\n [\n -121.25,\n 38.375\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brooks, Benjamin A. 0000-0001-7954-6281 bbrooks@usgs.gov","orcid":"https://orcid.org/0000-0001-7954-6281","contributorId":5237,"corporation":false,"usgs":true,"family":"Brooks","given":"Benjamin","email":"bbrooks@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":928739,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Telling, Jennifer","contributorId":351507,"corporation":false,"usgs":false,"family":"Telling","given":"Jennifer","affiliations":[{"id":36391,"text":"University of Houston","active":true,"usgs":false}],"preferred":false,"id":928740,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ericksen, Todd Leroy 0000-0001-9340-575X","orcid":"https://orcid.org/0000-0001-9340-575X","contributorId":351508,"corporation":false,"usgs":false,"family":"Ericksen","given":"Todd Leroy","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":928741,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glennie, Craig L.","contributorId":198143,"corporation":false,"usgs":false,"family":"Glennie","given":"Craig","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":928742,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Knowles, Noah 0000-0001-5652-1049","orcid":"https://orcid.org/0000-0001-5652-1049","contributorId":206338,"corporation":false,"usgs":true,"family":"Knowles","given":"Noah","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":928743,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cayan, Daniel","contributorId":213044,"corporation":false,"usgs":false,"family":"Cayan","given":"Daniel","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":928744,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hauser, Darren L.","contributorId":202340,"corporation":false,"usgs":false,"family":"Hauser","given":"Darren","email":"","middleInitial":"L.","affiliations":[{"id":36391,"text":"University of Houston","active":true,"usgs":false}],"preferred":false,"id":928745,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"LeWinter, Adam","contributorId":192072,"corporation":false,"usgs":false,"family":"LeWinter","given":"Adam","affiliations":[],"preferred":false,"id":928746,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70198862,"text":"70198862 - 2018 - Landscape composition mediates movement and habitat selection in bobcats (Lynx rufus): Implications for conservation planning","interactions":[],"lastModifiedDate":"2018-08-24T11:53:49","indexId":"70198862","displayToPublicDate":"2018-08-01T08:25:42","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Landscape composition mediates movement and habitat selection in bobcats (Lynx rufus): Implications for conservation planning","title":"Landscape composition mediates movement and habitat selection in bobcats (Lynx rufus): Implications for conservation planning","docAbstract":"The analysis of individual movement choices can be used to better understand population-level resource selection and inform management.
","language":"English","publisher":"Springer","doi":"10.1007/s10980-018-0654-8","usgsCitation":"Abouelezz, H., Donovan, T.M., Mickey, R.M., Murdock, J.N., Freeman, M., and Royar, K., 2018, Landscape composition mediates movement and habitat selection in bobcats (Lynx rufus): Implications for conservation planning: Landscape Ecology, v. 33, no. 8, p. 1301-1318, https://doi.org/10.1007/s10980-018-0654-8.","productDescription":"18 p.","startPage":"1301","endPage":"1318","ipdsId":"IP-090005","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468552,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10980-018-0654-8","text":"Publisher Index Page"},{"id":356683,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-20","publicationStatus":"PW","scienceBaseUri":"5b98a296e4b0702d0e842f7b","contributors":{"authors":[{"text":"Abouelezz, Hanem","contributorId":171651,"corporation":false,"usgs":false,"family":"Abouelezz","given":"Hanem","email":"","affiliations":[],"preferred":false,"id":743230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donovan, Therese M. 0000-0001-8124-9251 tdonovan@usgs.gov","orcid":"https://orcid.org/0000-0001-8124-9251","contributorId":204296,"corporation":false,"usgs":true,"family":"Donovan","given":"Therese","email":"tdonovan@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":743147,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mickey, Ruth M.","contributorId":171666,"corporation":false,"usgs":false,"family":"Mickey","given":"Ruth","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":743231,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murdock, James N.","contributorId":94309,"corporation":false,"usgs":true,"family":"Murdock","given":"James","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":743232,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Freeman, Mark","contributorId":171650,"corporation":false,"usgs":false,"family":"Freeman","given":"Mark","email":"","affiliations":[],"preferred":false,"id":743233,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Royar, Kim","contributorId":9886,"corporation":false,"usgs":true,"family":"Royar","given":"Kim","affiliations":[],"preferred":false,"id":743234,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70237370,"text":"70237370 - 2018 - Patterns and magnitude of flow alteration in California, USA","interactions":[],"lastModifiedDate":"2022-10-12T13:19:00.957201","indexId":"70237370","displayToPublicDate":"2018-08-01T08:14:15","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Patterns and magnitude of flow alteration in California, USA","docAbstract":"Mandarin fish Siniperca chuatsi, a valuable piscivorous fish, have been stocked into many lakes in China since the 1990s. This study did the first attempt to evaluate the ecological effects of hatchery-reared mandarin fish stocking in the Yangtze River basin lakes. Our study demonstrated a significant change in fish community composition after mandarin fish stocking, but no fish extinction was observed. No significant difference was observed in the total density of 13 forage fish before and after mandarin fish stocking, but the total biomass showed a significant decline after mandarin fish stocking. Significant differences in length-frequency distributions were observed for Carassius auratus, Pseudorasbora parva and Toxabramis swinhonis captured before and after stocking mandarin fish. No significant change in habitat distribution was detected before and after mandarin fish stocking. A marked decline in total nitrogen and a slight decline in total phosphorus were observed while a slight increasing trend for Secchi depth was found after stocking. Our findings suggested that mandarin fish stocking can increase predation pressure on forage fish and subsequently optimize the food web structure. Also, mandarin fish stocking has the potential to improve water quality and may be a feasible strategy to alleviate eutrophication of shallow Yangtze lakes.
","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-018-29758-z","usgsCitation":"Li, W., Hicks, B.J., Lin, M., Guo, C., Zhang, T., Liu, J., Li, Z., and Beauchamp, D.A., 2018, Impacts of hatchery-reared mandarin fish Siniperca chuatsi stocking on wild fish community and water quality in a shallow Yangtze lake: Scientific Reports, v. 8, p. 1-11, https://doi.org/10.1038/s41598-018-29758-z.","productDescription":"Article number: 11481; 11 p.","startPage":"1","endPage":"11","ipdsId":"IP-101180","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":468555,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-018-29758-z","text":"Publisher Index Page"},{"id":356930,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","otherGeospatial":"Biandantang Lake","volume":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-31","publicationStatus":"PW","scienceBaseUri":"5b98a297e4b0702d0e842f7f","contributors":{"authors":[{"text":"Li, Wei","contributorId":22894,"corporation":false,"usgs":true,"family":"Li","given":"Wei","email":"","affiliations":[],"preferred":false,"id":743742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hicks, Brendan J.","contributorId":207402,"corporation":false,"usgs":false,"family":"Hicks","given":"Brendan","email":"","middleInitial":"J.","affiliations":[{"id":37532,"text":"Centre for Biodiversity and Ecology Research, Department of Biological Sciences, Faculty of Science and Engineering, The University of Waikato, Hamilton, New Zealand","active":true,"usgs":false}],"preferred":false,"id":743743,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lin, Mingli","contributorId":207403,"corporation":false,"usgs":false,"family":"Lin","given":"Mingli","email":"","affiliations":[{"id":37533,"text":"State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China","active":true,"usgs":false}],"preferred":false,"id":743744,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guo, Chuanbo","contributorId":207404,"corporation":false,"usgs":false,"family":"Guo","given":"Chuanbo","email":"","affiliations":[{"id":37533,"text":"State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China","active":true,"usgs":false}],"preferred":false,"id":743745,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhang, Tanglin","contributorId":207405,"corporation":false,"usgs":false,"family":"Zhang","given":"Tanglin","email":"","affiliations":[{"id":37533,"text":"State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China","active":true,"usgs":false}],"preferred":false,"id":743746,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liu, Jiashou","contributorId":169468,"corporation":false,"usgs":false,"family":"Liu","given":"Jiashou","email":"","affiliations":[{"id":25520,"text":"Institute of Hydrobiology, Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":743747,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Li, Zhongjie","contributorId":177557,"corporation":false,"usgs":false,"family":"Li","given":"Zhongjie","email":"","affiliations":[],"preferred":false,"id":743748,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Beauchamp, David A. 0000-0002-3592-8381 fadave@usgs.gov","orcid":"https://orcid.org/0000-0002-3592-8381","contributorId":4205,"corporation":false,"usgs":true,"family":"Beauchamp","given":"David","email":"fadave@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":743749,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70198098,"text":"sir20185094 - 2018 - Flow hydraulics and mixing characteristics in and downstream from Brandon Road Lock, Joliet, Illinois","interactions":[],"lastModifiedDate":"2018-08-07T10:31:32","indexId":"sir20185094","displayToPublicDate":"2018-07-31T15:30:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5094","title":"Flow hydraulics and mixing characteristics in and downstream from Brandon Road Lock, Joliet, Illinois","docAbstract":"The Brandon Road Lock and Dam on the Des Plaines River near Joliet, Illinois, has been identified for potential implementation of aquatic nuisance species (ANS) control measures. To provide additional information concerning the flow hydraulics and mixing characteristics of the lock and downstream approach channel, the U.S. Geological Survey performed a detailed study of the site between December 2014 and October 2015, which included the collection and analysis of bathymetric, hydrodynamic, and dye tracer data. Synthesis of these data allowed a characterization of the site for future use in feasibility studies of potential ANS control technologies. The results of this study show a highly dynamic system driven primarily by lock operations but influenced by channel characteristics, industrial withdrawals, and meteorological forcing. Lock operation produces rapidly varying flows in the downstream approach channel, including transient oscillations that produce bidirectional flows. When the lock is not in operation, flows in the approach channel are primarily driven by leakage and wind forcing. Uniform concentrations of dissolved constituents in the lock chamber can be achieved by injection of the constituent into the existing lock filling and emptying system; however, valve and gate leakage can inhibit the mixing at the downstream end of the lock and substantially affects the ability to maintain a treated lock chamber at a uniform target concentration at tailwater level. Proper understanding of these hydraulic factors should be accounted for if the lock is to be used to deliver any dissolved constituent or operated in a way to prevent upstream passage of floating ANS. Moreover, extremely variable flow conditions including bidirectional flows and upstream return flows must be considered when implementing any ANS control technologies in the approach channel.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185094","collaboration":"Prepared in cooperation with the Great Lakes Restoration Initiative","usgsCitation":"Engel, F.L., Jackson, P.R., and Murphy, E.A., 2018, Flow hydraulics and mixing characteristics in and downstream from Brandon Road Lock, Joliet, Illinois: U.S. Geological Survey Scientific Investigations Report 2018–5094, 32 p., https://doi.org/10.3133/sir20185094.","productDescription":"Report: vii, 32 p.; 8 Data Releases","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-091674","costCenters":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":437814,"rank":11,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7K935SH","text":"USGS data release","linkHelpText":"Multibeam bathymetry and sediment depth data at select locations on the Des Plaines River near 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405 N. Goodwin Ave.
Urbana, Illinois 61801
By altering essential micro- and macrohabitat conditions for many organisms, climate change is already causing disproportionately greater impacts on Arctic and Subarctic ecosystems. Yet there is a lack of basic information about many species in northern latitudes, including amphibians. We used radio telemetry to study the post-breeding movements and habitat use of wood frogs (Rana [=Lithobates] sylvatica) in the Hudson Bay Lowlands near Churchill, Manitoba, Canada. We tracked fifty-seven frogs (thirty-five males, twenty-two females; mean duration = 16.8 d) from three wetlands during the summers of 2015 and 2016. The three wetlands were representative of the Arctic–Subarctic ecotone, with each wetland surrounded by different proportions of boreal forest and tundra. Our results indicate that at the landscape scale, movement distances increased with temperature, and all frogs spent more time in the tundra habitat than in boreal forests, relative to the availability of each habitat type. At the microhabitat scale (1 m2 plots), frogs selected areas with greater amounts of standing water, sedge, and shrubs. These results provide information on terrestrial movement patterns and critical habitat data for northern populations of wood frogs in a Subarctic environment, which will aid in understanding how climate change will affect amphibians in this rapidly changing ecosystem.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15230430.2018.1487657","usgsCitation":"Bishir, S., Hossack, B., Fishback, L., and Davenport, J.M., 2018, Post-breeding movement and habitat use by wood frogs along an Arctic–Subarctic ecotone: Arctic, Antarctic, and Alpine Research, v. 50, no. 1, e1487657, 9 p., https://doi.org/10.1080/15230430.2018.1487657.","productDescription":"e1487657, 9 p.","ipdsId":"IP-091059","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":468556,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/15230430.2018.1487657","text":"Publisher Index Page"},{"id":383381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Manitoba","otherGeospatial":"Hudson Bay Lowlands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.92417907714844,\n 58.65086973752047\n ],\n [\n -93.65158081054688,\n 58.65086973752047\n ],\n [\n -93.65158081054688,\n 58.73970633523893\n ],\n [\n -93.92417907714844,\n 58.73970633523893\n ],\n [\n -93.92417907714844,\n 58.65086973752047\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"50","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Bishir, Stephanie","contributorId":251753,"corporation":false,"usgs":false,"family":"Bishir","given":"Stephanie","email":"","affiliations":[{"id":50394,"text":"1Department of Biology, Southeast Missouri State University, Cape Girardeau, MO, USA 63701","active":true,"usgs":false}],"preferred":false,"id":810496,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hossack, Blake R. 0000-0001-7456-9564","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":229347,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":810497,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fishback, LeeAnn","contributorId":168514,"corporation":false,"usgs":false,"family":"Fishback","given":"LeeAnn","email":"","affiliations":[{"id":25316,"text":"Churchill Northern Studies Centre, P.O. Box 610, Churchill, Manitoba, R0B 0E0, Canada","active":true,"usgs":false}],"preferred":false,"id":810498,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davenport, J. M.","contributorId":167622,"corporation":false,"usgs":false,"family":"Davenport","given":"J.","email":"","middleInitial":"M.","affiliations":[{"id":17621,"text":"Southeast Missouri State University","active":true,"usgs":false}],"preferred":false,"id":810499,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70194792,"text":"sir20175161 - 2018 - Simulation of zones of groundwater contribution to wells south of the Naval Weapons Industrial Reserve Plant in Bethpage, New York","interactions":[],"lastModifiedDate":"2018-07-31T14:19:31","indexId":"sir20175161","displayToPublicDate":"2018-07-31T12:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5161","title":"Simulation of zones of groundwater contribution to wells south of the Naval Weapons Industrial Reserve Plant in Bethpage, New York","docAbstract":"A steady-state three-dimensional groundwater-flow model that simulates present conditions was coupled with the particle-tracking program MODPATH to delineate zones of contribution to wells pumping from the Magothy aquifer near a chlorinated volatile organic compound (VOC) plume. This modeling was part of a study by the U.S. Geological Survey in cooperation with the Naval Facilities Engineering Command to delineate groundwater near the Naval Weapons Industrial Reserve Plant in Bethpage, New York. Because rates of advection within the coarse-grained sediments typically exceed 0.1 foot per day, transport by dispersion and (or) diffusion was assumed to be negligible. Resulting zones of contribution are complex shapes, influenced by hydrogeologic features including confining beds and a basal gravel zone, and the interplay of nearby hydrologic stresses. The use of two particle tracking techniques identified zones of contribution to wells. Particles are backtracked from pumping well screens, and particles are forward tracked from the location of a VOC plume, as defined by surfaces of equal total VOC concentration. During any period of 5 years or less, about 1 to 3 percent of particles backtracked from pumping wells within a focus area intersected the 5-part per billion (ppb) VOC plume shell, indicating that the vast majority of particles were not sourced from the plume. During 5 years or less, none of the particles backtracked from pumping wells intersected the 50-ppb VOC plume shell. Forward-tracking techniques identified the fate of water within the VOC plume after 5 years as it moves toward ultimate well capture and (or) discharge to model constant head and drain boundaries. Out of 4,813 forward tracked particles started within the 50-ppb VOC plume shell, 1 forward-tracked particle was captured by well ANY8480. Out of 22,958 forward tracked particles started within the 5-ppb VOC plume shell, 100 were captured by production wells (less than 1 percent). The subset of forward pathlines that represent well plume capture are similar in number and shape to those of backtracked pathlines.
Model simulations were conducted to assess uncertainties and improve understanding of how variability in hydraulic properties, pumpage rates, and maximum particle traveltime affect delineation of zones of contribution. By use of driller’s’ logs, a transitional probability approach generated nine alternative realizations of heterogeneity within the Magothy aquifer to assess uncertainty in model representation. Fine-grained sediments with low hydraulic conductivity were realized as laterally discontinuous, thickening towards the south, and comprising about 27 percent of the total aquifer volume within the transitional probability subgrid. Model simulations with alternative pumpage rates, porosity terms, and alternative maximum particle traveltime were also used to demonstrate how the size and shape of zones of contribution may vary.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175161","collaboration":"Prepared in cooperation with the Naval Facilities Engineering Command","usgsCitation":"Misut, P.E., 2018, Simulation of zones of groundwater contribution to wells south of the Naval Weapons Industrial Reserve Plant in Bethpage, New York: U.S. Geological Survey Scientific Investigations Report 2017–5161, 45 p., https://doi.org/10.3133/sir20175161.","productDescription":"Report: vii, 45 p.; Data release","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-087126","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":355559,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F770809V","text":"USGS data release","description":"USGS data release","linkHelpText":"MODFLOW-2005 model archive for simulation of zones of groundwater contribution to wells south of the Naval Weapons Industrial Reserve Plant in Bethpage, New York"},{"id":355557,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5161/coverthb.jpg"},{"id":355558,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5161/sir20175161.pdf","text":"Report","size":"13.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5161"}],"country":"United States","state":"New York","city":"Bethpage","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.5167,\n 40.7167\n ],\n [\n -73.45,\n 40.7167\n ],\n [\n -73.45,\n 40.7667\n ],\n [\n -73.5167,\n 40.7667\n ],\n [\n -73.5167,\n 40.7167\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
U.S. Geological Survey
2045 Route 112, Building 4
Coram, NY 11727
The spatial patterning of alpine plant communities is strongly influenced by the variation in physical factors such as temperature and moisture, which are strongly affected by snow depth and snowmelt patterns. Earlier snowmelt timing and greater soil-moisture limitations may favor wide-ranging species adapted to a broader set of ecohydrological conditions than alpine-restricted species. We asked how plant community composition, phenology, plant water relations, and photosynthetic gas exchange of alpine-restricted and wide-ranging species differ in their responses to a ca. 40-day snowmelt gradient in the Colorado Rocky Mountains (Lewisia pygmaea, Sibbaldia procumbens, and Hymenoxys grandiflora were alpine-restricted and Artemisia scopulorum, Carex rupestris, and Geum rossii were wide-ranging species). As hypothesized, species richness and foliar cover increased with earlier snowmelt, due to a greater abundance of wide-ranging species present in earlier melting plots. Flowering initiation occurred earlier with earlier snowmelt for 12 out of 19 species analyzed, while flowering duration was shortened with later snowmelt for six species (all but one were wide-ranging species). We observed >50% declines in net photosynthesis from July to September as soil moisture and plant water potentials declined. Early-season stomatal conductance was higher in wide-ranging species, indicating a more competitive strategy for water acquisition when soil moisture is high. Even so, there were no associated differences in photosynthesis or transpiration, suggesting no strong differences between these groups in physiology. Our findings reveal that plant species with different ranges (alpine-restricted vs. wide-ranging) could have differential phenological and physiological responses to snowmelt timing and associated soil moisture dry-down, and that alpine-restricted species’ performance is more sensitive to snowmelt. As a result, alpine-restricted species may serve as better indicator species than their wide-ranging heterospecifics. Overall, alpine community composition and peak % cover are strongly structured by spatio-temporal patterns in snowmelt timing. Thus, near-term, community-wide changes (or variation) in phenology and physiology in response to shifts in snowmelt timing or rates of soil dry down are likely to be contingent on the legacy of past climate on community structure.
","language":"English","publisher":"Frontiers","doi":"10.3389/fpls.2018.01140","usgsCitation":"Winkler, D.E., Butz, R.J., Germino, M., Reinhardt, K., and Kueppers, L.M., 2018, Snowmelt timing regulates community composition, phenology, and physiological performance of alpine plants: Frontiers in Plant Science, v. 9, p. 1-13, https://doi.org/10.3389/fpls.2018.01140.","productDescription":"Article 1140; 13 p.","startPage":"1","endPage":"13","ipdsId":"IP-098795","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":468557,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fpls.2018.01140","text":"Publisher Index Page"},{"id":356275,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-31","publicationStatus":"PW","scienceBaseUri":"5b6fc3efe4b0f5d57878e949","contributors":{"authors":[{"text":"Winkler, Daniel E. 0000-0003-4825-9073","orcid":"https://orcid.org/0000-0003-4825-9073","contributorId":206786,"corporation":false,"usgs":true,"family":"Winkler","given":"Daniel","email":"","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":741770,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Butz, Ramona J. 0000-0001-8595-0459","orcid":"https://orcid.org/0000-0001-8595-0459","contributorId":206787,"corporation":false,"usgs":false,"family":"Butz","given":"Ramona","email":"","middleInitial":"J.","affiliations":[{"id":37401,"text":"Humboldt State University, U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":741771,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Germino, Matthew J. 0000-0001-6326-7579 mgermino@usgs.gov","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":152582,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","email":"mgermino@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":741769,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reinhardt, Keith","contributorId":178543,"corporation":false,"usgs":false,"family":"Reinhardt","given":"Keith","email":"","affiliations":[],"preferred":false,"id":741772,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kueppers, Lara M.","contributorId":177736,"corporation":false,"usgs":false,"family":"Kueppers","given":"Lara","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":741773,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70198063,"text":"sir20185092 - 2018 - Understanding the effect of salinity tolerance on cyanobacteria associated with a harmful algal bloom in Lake Okeechobee, Florida","interactions":[],"lastModifiedDate":"2018-07-31T14:14:01","indexId":"sir20185092","displayToPublicDate":"2018-07-31T10:45:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5092","title":"Understanding the effect of salinity tolerance on cyanobacteria associated with a harmful algal bloom in Lake Okeechobee, Florida","docAbstract":"In an effort to simulate the survival of cyanobacteria as
they are transported from Lake Okeechobee to the estuarine
habitats that receive waters from the lake, a bioassay
encompassing a range of salinities was performed. An overall
decline in cyanobacteria health in salinity treatments greater
than 18 practical salinity units (psu) was indicated by loss of
cell membrane integrity based on SYTOX® Green staining,
but this loss varied by the kind of cyanobacteria present.
Microcystis aeruginosa was tolerant of salinities up to 18 psu;
however, higher salinities caused leaking of microcystin from
the cells. Dolichospermum circinale, another common bloomformer
in this system, did not tolerate salinities greater than
7.5 psu. Stimulation of mucilage production was observed and
is likely a mechanism used by both species to protect organism
viability. At 7.5 psu, microcystin increased relative to
chlorophyll-a, providing some evidence of biosynthesis when
M. aeruginosa is exposed to this salinity. This study indicates
that as freshwater cyanobacteria are transported to brackish
and marine waters, there will be a loss of membrane integrity
which will lead to the release of cellular microcystin into the
surrounding waterbody. Additional research would be needed
to determine the exact effect of salinity on this relationship.
Director, Caribbean-Florida Water Science Center
U.S. Geological Survey
4446 Pet Lane
Lutz, FL 33559
Today’s technology is opening up new ways to learn. Here, we introduce Tilt Trivia, a suite of quiz‐style, multiplayer games for use on mobile devices and tablets (Android or Apple) to help students learn simple definitions and facts. This mobile device game was built using the Unity engine and has a multiplayer functionality that runs seamlessly, all day, every day. A single game consists of 6–10 questions that are selected at random from a base suite of 13–33 questions. A single Tilt Trivia game takes 3–7 min to complete and allows up to five players to play simultaneously in the same game space. To begin, players select a topical avatar to represent them in the game. While in the competitive playing field, players are presented with a question and then they simply tilt their tablets until their avatar rests on the correct answer marker (i.e., true or false). Because the playing field is constantly tilting, keeping your avatar on the correct answer requires a continual counter‐tilting motion of the tablet to maintain your position within the game. A countdown timer is incorporated requiring players to answer the questions as quickly as possible. At the end of the game, a leaderboard displays the players’ scores and rankings, a metric that motivates repeat play. Players have the option of jostling other players off of the correct answer in the hopes of netting the highest score. The game is configurable to any topic and currently there are games for eight different topics (see Data and Resources).
","language":"English","publisher":"SSA","doi":"10.1785/0220180049","usgsCitation":"Kilb, D., Yang, A., Garrett, N., Pankow, K.L., Rubinstein, J.L., and Linville, L., 2018, Tilt Trivia: A free multiplayer app to learn geoscience concepts and definitions: Seismological Research Letters, v. 89, no. 5, p. 1908-1915, https://doi.org/10.1785/0220180049.","productDescription":"8 p.","startPage":"1908","endPage":"1915","ipdsId":"IP-087535","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":356030,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-18","publicationStatus":"PW","scienceBaseUri":"5b6fc3f0e4b0f5d57878e94d","contributors":{"authors":[{"text":"Kilb, Debi","contributorId":206552,"corporation":false,"usgs":false,"family":"Kilb","given":"Debi","affiliations":[{"id":37339,"text":"Scripps/UCSD","active":true,"usgs":false}],"preferred":false,"id":741056,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yang, Alan","contributorId":206553,"corporation":false,"usgs":false,"family":"Yang","given":"Alan","email":"","affiliations":[{"id":37339,"text":"Scripps/UCSD","active":true,"usgs":false}],"preferred":false,"id":741057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garrett, Nathan","contributorId":206554,"corporation":false,"usgs":false,"family":"Garrett","given":"Nathan","email":"","affiliations":[{"id":37340,"text":"Santana High School","active":true,"usgs":false}],"preferred":false,"id":741058,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pankow, Kristine L.","contributorId":204447,"corporation":false,"usgs":false,"family":"Pankow","given":"Kristine","email":"","middleInitial":"L.","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":741059,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rubinstein, Justin L. 0000-0003-1274-6785 jrubinstein@usgs.gov","orcid":"https://orcid.org/0000-0003-1274-6785","contributorId":2404,"corporation":false,"usgs":true,"family":"Rubinstein","given":"Justin","email":"jrubinstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":741055,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Linville, Lisa","contributorId":206555,"corporation":false,"usgs":false,"family":"Linville","given":"Lisa","email":"","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":741060,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70198331,"text":"70198331 - 2018 - Effectiveness of a fish ladder for two Neotropical migratory species in the Paraná River","interactions":[],"lastModifiedDate":"2018-12-05T14:23:10","indexId":"70198331","displayToPublicDate":"2018-07-31T09:15:45","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2681,"text":"Marine and Freshwater Research","active":true,"publicationSubtype":{"id":10}},"title":"Effectiveness of a fish ladder for two Neotropical migratory species in the Paraná River","docAbstract":"We evaluated fish ladder effectiveness at Porto Primavera Dam in the Upper Paraná River, for two Neotropical migratory fish species. Overall, 564 fish (448 Megaleporinus obtusidens and 116 M. piavussu) were PIT-tagged, released in upstream and downstream areas (on the left and right banks), and monitored continuously for 4 years. The fish performed two-way movements through the fish ladder, ascending from the tailrace and descending from the forebay. We registered 46 M. obtusidens (10.3%) and only 3 M. piavussu(2.6%) from the fish ladder, therefore all analyses were focused on M. obstusidens. Entry proportion ranged from 0 to 48.1% depending on release site and was greatest for fish released downstream near the fish ladder entrance. Entry times ranged from 3.0 to 384.0 days, and median times were 32.9 and 25.8 days for downstream and upstream, respectively. Of fish that entered the fish ladder, passage percentages were 80% for fish release downstream and 100% for fish released upstream, and median transit time was 0.7 and 0.9 hours, respectively. Results suggest that if guidance and entry conditions can be improved, this fish ladder design holds promise as an effective solution for providing passage in both directions.
","language":"English","publisher":"CSIRO","doi":"10.1071/MF18129","usgsCitation":"Gutfreund, C., Makrakis, S., Castro-Santos, T.R., Celestino, L., Dias, J.H., and Makrakis, M.C., 2018, Effectiveness of a fish ladder for two Neotropical migratory species in the Paraná River: Marine and Freshwater Research, v. 69, no. 12, p. 1848-1856, https://doi.org/10.1071/MF18129.","productDescription":"9 p.","startPage":"1848","endPage":"1856","ipdsId":"IP-096521","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":488793,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://doi.org/10.1071/MF18129","text":"External Repository"},{"id":356024,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"69","issue":"12","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc3f0e4b0f5d57878e94f","contributors":{"authors":[{"text":"Gutfreund, Carola","contributorId":206568,"corporation":false,"usgs":false,"family":"Gutfreund","given":"Carola","email":"","affiliations":[],"preferred":false,"id":741162,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Makrakis, Sergio","contributorId":95349,"corporation":false,"usgs":true,"family":"Makrakis","given":"Sergio","email":"","affiliations":[],"preferred":false,"id":741163,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":741164,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Celestino, Leandro","contributorId":206569,"corporation":false,"usgs":false,"family":"Celestino","given":"Leandro","email":"","affiliations":[],"preferred":false,"id":741165,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dias, Joao Henrique Pinheiro","contributorId":23843,"corporation":false,"usgs":true,"family":"Dias","given":"Joao","email":"","middleInitial":"Henrique Pinheiro","affiliations":[],"preferred":false,"id":741166,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Makrakis, Maristela Cavicchioli","contributorId":90208,"corporation":false,"usgs":true,"family":"Makrakis","given":"Maristela","email":"","middleInitial":"Cavicchioli","affiliations":[],"preferred":false,"id":741167,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70199871,"text":"70199871 - 2018 - Applications of the California pesticide use reporting database in more than 25 years of U.S. Geological Survey hydrological studies","interactions":[],"lastModifiedDate":"2020-08-19T20:16:22.872629","indexId":"70199871","displayToPublicDate":"2018-07-31T08:22:09","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"15","title":"Applications of the California pesticide use reporting database in more than 25 years of U.S. Geological Survey hydrological studies","docAbstract":"The U.S. Geological Survey (USGS) has been collecting data on the occurrence of pesticides in California surface and ground water since the 1970’s. The design of these studies benefited from the availability of the Pesticide Use Reporting (PUR) database of the California Department of Pesticide Regulation. Actual locations and dates of applications of active ingredient allow for effective design of studies that seek to understand which compounds can be mobilized from the point of application as well as the hydrological or climate-related factors that enhance the off-site transport. Key studies from the 1970’s to the present are discussed here and demonstrate how the USGS both designed studies and improved their analytical methodology to keep up with changes in how pesticides are used in California.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Managing and analyzing pesticide use data for pest management, environmental monitoring, public health, and public policy. ACS Symposium Series, Vol. 1283","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Chemical Society","doi":"10.1021/bk-2018-1283.ch015","usgsCitation":"Domagalski, J.L., and Orlando, J., 2018, Applications of the California pesticide use reporting database in more than 25 years of U.S. Geological Survey hydrological studies, chap. 15 of Managing and analyzing pesticide use data for pest management, environmental monitoring, public health, and public policy. ACS Symposium Series, Vol. 1283, p. 323-346, https://doi.org/10.1021/bk-2018-1283.ch015.","productDescription":"24 p.","startPage":"323","endPage":"346","ipdsId":"IP-093375","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":358018,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-31","publicationStatus":"PW","scienceBaseUri":"5bc02fcbe4b0fc368eb5397e","contributors":{"editors":[{"text":"Zhang, Minghua","contributorId":195323,"corporation":false,"usgs":false,"family":"Zhang","given":"Minghua","email":"","affiliations":[],"preferred":false,"id":747119,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Jackson, Scott 0000-0003-1272-9918","orcid":"https://orcid.org/0000-0003-1272-9918","contributorId":208420,"corporation":false,"usgs":false,"family":"Jackson","given":"Scott","affiliations":[],"preferred":false,"id":747120,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Robertson, Mark A.","contributorId":208421,"corporation":false,"usgs":false,"family":"Robertson","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":747121,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Zeiss, Michael R.","contributorId":208422,"corporation":false,"usgs":false,"family":"Zeiss","given":"Michael","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":747123,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Domagalski, Joseph L. 0000-0002-6032-757X joed@usgs.gov","orcid":"https://orcid.org/0000-0002-6032-757X","contributorId":1330,"corporation":false,"usgs":true,"family":"Domagalski","given":"Joseph","email":"joed@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":747007,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orlando, James 0000-0002-0099-7221","orcid":"https://orcid.org/0000-0002-0099-7221","contributorId":208413,"corporation":false,"usgs":true,"family":"Orlando","given":"James","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":747008,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70227831,"text":"70227831 - 2018 - Changing environmental gradients over forty years alter ecomorphological variation in Guadalupe Bass Micropterus treculii throughout a river basin","interactions":[],"lastModifiedDate":"2022-02-01T19:30:41.30855","indexId":"70227831","displayToPublicDate":"2018-07-30T14:28:19","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Changing environmental gradients over forty years alter ecomorphological variation in Guadalupe Bass Micropterus treculii throughout a river basin","title":"Changing environmental gradients over forty years alter ecomorphological variation in Guadalupe Bass Micropterus treculii throughout a river basin","docAbstract":"Understanding the degree of intraspecific variation within and among populations is a key aspect of predicting the capacity of a species to respond to anthropogenic disturbances. However, intraspecific variation is usually assessed at either limited temporal, but broad spatial scales or vice versa, which can make assessing changes in response to long-term disturbances challenging. We evaluated the relationship between the longitudinal gradient of changing flow regimes and land use/land cover patterns since 1980 and morphological variation of Guadalupe Bass Micropterus treculii throughout the Colorado River Basin of central Texas. The Colorado River Basin in Texas has experienced major alterations to the hydrologic regime due to changing land- and water-use patterns. Historical collections of Guadalupe Bass prior to rapid human-induced change present the unique opportunity to study the response of populations to varying environmental conditions through space and time. Morphological differentiation of Guadalupe Bass associated with temporal changes in flow regimes and land use/land cover patterns suggests that they are exhibiting intraspecific trait variability, with contemporary individuals showing increased body depth, in response to environmental alteration through time (specifically related to an increase in herbaceous land cover, maximum flows, and the number of low pulses and high pulses). Additionally, individuals from tributaries with increased hydrologic alteration associated with urbanization or agricultural withdrawals tended to have a greater distance between the anal and caudal fin. These results reveal trait variation that may help to buffer populations under conditions of increased urbanization and sprawl, human population growth, and climate risk, all of which impose novel selective pressures, especially on endemic species like Guadalupe Bass. Our results contribute an understanding of the adaptability and capacity of an endemic population to respond to expected future changes based on demographic or climatic projection.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.4349","usgsCitation":"Pease, J.E., Grabowski, T.B., Pease, A.A., and Bean, P.T., 2018, Changing environmental gradients over forty years alter ecomorphological variation in Guadalupe Bass Micropterus treculii throughout a river basin: Ecology and Evolution, v. 8, no. 16, p. 8508-8522, https://doi.org/10.1002/ece3.4349.","productDescription":"15 p.","startPage":"8508","endPage":"8522","ipdsId":"IP-093067","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":468558,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.4349","text":"Publisher Index Page"},{"id":395232,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Colorado River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -102.23876953125,\n 29.6880527498568\n ],\n [\n -94.98779296875,\n 29.6880527498568\n ],\n [\n -94.98779296875,\n 33.87041555094183\n ],\n [\n -102.23876953125,\n 33.87041555094183\n ],\n [\n -102.23876953125,\n 29.6880527498568\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"16","noUsgsAuthors":false,"publicationDate":"2018-07-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Pease, Jessica E.","contributorId":201491,"corporation":false,"usgs":false,"family":"Pease","given":"Jessica","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":832393,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grabowski, Timothy B. 0000-0001-9763-8948 tgrabowski@usgs.gov","orcid":"https://orcid.org/0000-0001-9763-8948","contributorId":4178,"corporation":false,"usgs":true,"family":"Grabowski","given":"Timothy","email":"tgrabowski@usgs.gov","middleInitial":"B.","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":832392,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pease, Allison A.","contributorId":201493,"corporation":false,"usgs":false,"family":"Pease","given":"Allison","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":832394,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bean, Preston T.","contributorId":172956,"corporation":false,"usgs":false,"family":"Bean","given":"Preston","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":832395,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70195983,"text":"tm6A59 - 2018 - SWB Version 2.0—A soil-water-balance code for estimating net infiltration and other water-budget components","interactions":[],"lastModifiedDate":"2018-07-31T09:30:01","indexId":"tm6A59","displayToPublicDate":"2018-07-30T14:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"6-A59","title":"SWB Version 2.0—A soil-water-balance code for estimating net infiltration and other water-budget components","docAbstract":"The U.S. Geological Survey’s Soil-Water-Balance (SWB) code was developed as a tool to estimate distribution and timing of net infiltration out of the root zone by means of an approach that uses readily available data and minimizes user effort required to begin a SWB application. SWB calculates other components of the water balance, including soil moisture, reference and actual evapotranspiration, snowfall, snowmelt, canopy interception, and crop-water demand. SWB is based on a modified Thornthwaite-Mather soil-water-balance approach, with components of the soil-water balance calculated at a daily time step. Net-infiltration calculations are computed by means of a rectangular grid of computational elements, which allows the calculated infiltration rates to be imported into grid-based regional groundwater-flow models. SWB makes use of gridded datasets, including datasets describing hydrologic soil groups, moisture-retaining capacity, flow direction, and land use. Climate data may be supplied in gridded or tabular form. The SWB 2.0 code described in this report extends capabilities of the original SWB version 1.0 model by adding new options for representing physical processes and additional data input and output capabilities. New methods included in SWB 2.0 allow for direct gridded input of externally calculated water-budget components (fog, septic, and storm-sewer leakage), simulation of canopy interception by several alternative processes, and a crop-water demand method for estimating irrigation amounts. New input and output capabilities allow for grids with differing spatial extents and projections to be combined without requiring the user to resample and resize the grids before use.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section A: Groundwater in Book 6: Modeling techniques","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm6A59","collaboration":"Water Availability and Use Science ProgramDirector, Upper Midwest Water Science Center
U.S. Geological Survey
8505 Research Way
Middleton, WI 53562
Transit times are hypothesized to influence catchment sensitivity to atmospheric deposition of acidity and nitrogen (N) because they help determine the amount of time available for infiltrating precipitation to interact with catchment soil and biota. Transit time metrics, including fraction of young water (Fyw) and mean transit time (MTT), were calculated for 11 headwater catchments in mountains of the western United States based on differences in the amplitude of the seasonal signal of δ18O in streamflow and precipitation. Results were statistically compared with catchment characteristics to elucidate controlling mechanisms. Transit times also were compared with stream solute concentrations to test the hypothesis that transit times are a primary influence on weathering rates and biological assimilation of atmospherically deposited N. Results indicate that transit times in the study catchments are strongly related to soil, vegetation, and topographic characteristics, with barren terrain (bare rock and talus) and steep slopes linked to high Fyw and short MTT, whereas forest soil (hydrogroup B) was linked to low Fyw and greater MTT. Concentrations of silicate weathering products (Na+ and Si) were negatively related to Fyw and barren terrain, and positively related to MTT and forest soil, supporting the concept that weathering fluxes and buffering capacity tend to be low in alpine areas due to short transit times. Nitrate concentrations were positively related to N deposition, catchment slope, and barren terrain, and negatively related to forest, indicating that hydrologic and/or biogeochemical processes associated with steep slopes limit uptake of atmospherically deposited N by biota. Interannual and seasonal variability in transit times and source water contributions in the study catchments was substantial, reflecting the influence of strong temporal variations in snowmelt inputs in high‐elevation catchments of the western United States. Results from this study confirm that short transit times in these areas are a key reason they are highly sensitive to atmospheric pollution and climate change.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13183","usgsCitation":"Clow, D.W., Mast, M.A., and Sickman, J.O., 2018, Linking transit times to catchment sensitivity to atmospheric deposition of acidity and nitrogen in mountains of the western United States: Hydrological Processes, v. 32, no. 16, p. 2456-2470, https://doi.org/10.1002/hyp.13183.","productDescription":"15 p.","startPage":"2456","endPage":"2470","ipdsId":"IP-094711","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":468559,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.13183","text":"Publisher Index Page"},{"id":356185,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"16","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-04","publicationStatus":"PW","scienceBaseUri":"5b6fc3f1e4b0f5d57878e953","contributors":{"authors":[{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":741696,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mast, M. Alisa 0000-0001-6253-8162 mamast@usgs.gov","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":827,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"mamast@usgs.gov","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":741708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sickman, James O.","contributorId":30741,"corporation":false,"usgs":true,"family":"Sickman","given":"James","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":741709,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}