{"pageNumber":"891","pageRowStart":"22250","pageSize":"25","recordCount":165521,"records":[{"id":70196769,"text":"70196769 - 2017 - Macroscale patterns of synchrony identify complex relationships among spatial and temporal ecosystem drivers","interactions":[],"lastModifiedDate":"2018-05-01T13:49:25","indexId":"70196769","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Macroscale patterns of synchrony identify complex relationships among spatial and temporal ecosystem drivers","docAbstract":"

Ecology has a rich history of studying ecosystem dynamics across time and space that has been motivated by both practical management needs and the need to develop basic ideas about pattern and process in nature. In situations in which both spatial and temporal observations are available, similarities in temporal behavior among sites (i.e., synchrony) provide a means of understanding underlying processes that create patterns over space and time. We used pattern analysis algorithms and data spanning 22–25 yr from 601 lakes to ask three questions: What are the temporal patterns of lake water clarity at sub‐continental scales? What are the spatial patterns (i.e., geography) of synchrony for lake water clarity? And, what are the drivers of spatial and temporal patterns in lake water clarity? We found that the synchrony of water clarity among lakes is not spatially structured at sub‐continental scales. Our results also provide strong evidence that the drivers related to spatial patterns in water clarity are not related to the temporal patterns of water clarity. This analysis of long‐term patterns of water clarity and possible drivers contributes to understanding of broad‐scale spatial patterns in the geography of synchrony and complex relationships between spatial and temporal patterns across ecosystems.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2024","usgsCitation":"Lottig, N.R., Tan, P., Wagner, T., Cheruvelil, K.S., Soranno, P.A., Stanley, E.H., Scott, C.E., Stow, C.A., and Yuan, S., 2017, Macroscale patterns of synchrony identify complex relationships among spatial and temporal ecosystem drivers: Ecosphere, v. 8, no. 12, p. 1-11, https://doi.org/10.1002/ecs2.2024.","productDescription":"e02024; 11 p.","startPage":"1","endPage":"11","ipdsId":"IP-088150","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469271,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2024","text":"Publisher Index Page"},{"id":353883,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"12","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-13","publicationStatus":"PW","scienceBaseUri":"5afee79de4b0da30c1bfc306","contributors":{"authors":[{"text":"Lottig, Noah R.","contributorId":172031,"corporation":false,"usgs":false,"family":"Lottig","given":"Noah","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":734433,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tan, Pang-Ning","contributorId":172193,"corporation":false,"usgs":false,"family":"Tan","given":"Pang-Ning","affiliations":[],"preferred":false,"id":734434,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":734305,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cheruvelil, Kendra Spence","contributorId":150607,"corporation":false,"usgs":false,"family":"Cheruvelil","given":"Kendra","email":"","middleInitial":"Spence","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":734435,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Soranno, Patricia A.","contributorId":172104,"corporation":false,"usgs":false,"family":"Soranno","given":"Patricia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":734436,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stanley, Emily H.","contributorId":55725,"corporation":false,"usgs":false,"family":"Stanley","given":"Emily","email":"","middleInitial":"H.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":734437,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Scott, Caren E.","contributorId":172184,"corporation":false,"usgs":false,"family":"Scott","given":"Caren","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":734438,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stow, Craig A.","contributorId":204103,"corporation":false,"usgs":false,"family":"Stow","given":"Craig","email":"","middleInitial":"A.","affiliations":[{"id":36843,"text":"NOAA, Great Lakes Environmental Research Lab","active":true,"usgs":false}],"preferred":false,"id":734439,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yuan, Shuai","contributorId":172187,"corporation":false,"usgs":false,"family":"Yuan","given":"Shuai","affiliations":[],"preferred":false,"id":734440,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70196776,"text":"70196776 - 2017 - Passive integrated transponder tags: Review of studies on warmwater fishes with notes on additional species","interactions":[],"lastModifiedDate":"2018-05-01T11:21:12","indexId":"70196776","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","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":"Passive integrated transponder tags: Review of studies on warmwater fishes with notes on additional species","docAbstract":"

Although numerous studies have assessed retention and survival of passive integrated transponder (PIT) tags, data are scattered and information gaps remain for many diminutive fishes. Our study objectives were to 1) systematically review PIT tag studies and summarize retention, growth, and survival data for warmwater fishes; and 2) conduct a laboratory study to evaluate the retention, survival, and growth effects of intracoelomic-placed, half duplex PIT tags on six small-bodied species common to warmwater streams. Our systematic review suggested small sample sizes were common within PIT tag retention and survival studies (39% with n ≤ 20) and that many experiments (15%, 14 of 97) failed to use control fish as part of their evaluations. Studies focused primarily on short-term changes (15 d to 2 y) in tag retention and survival. Tag retention was equal to or greater than 90% in 85% of the experiments reviewed and median survival was 92%. Growth was reported by fishes in the majority of reviewed studies. We found similar results after PIT tagging (peritoneum tagging using 12- or 23-mm half duplex tags) adult Cardinal Shiner Luxilus cardinalis, Central Stoneroller Campostoma annomalum, Greenside Darter Etheostoma blennioides, Orangethroat Darter Etheostoma spectabile, Slender Madtom Noturus exilis, and juvenile Smallmouth Bass Micropterus dolomieu. Tag retention for all species was high, with only one tag loss recorded after 60 d. Survival was also high (≥88%) for all of our species with the exception of Orangethroat Darter (56% survival). No significant difference in mean growth between treatment and control groups was found. Both our results and the findings of the literature review suggested generally high tag retention and low mortality in tagged fishes (across 31 species reviewed). However, within our study (e.g., Orangethroat Darter) and from the literature, examples of negative effects of PIT tagging on fishes were apparent, suggesting methodological testing is prudent before using PIT tags in field studies. We suggest future studies would benefit from addressing the behavioral implications that may be associated with tagging and examination of longer-term tag retention. Furthermore, standard reporting (i.e., sample sizes) in PIT tag studies would be beneficial, and use of control subjects or groups for statistical comparisons is needed.

","language":"English","publisher":"Scientific Journals","doi":"10.3996/122016-JFWM-091","usgsCitation":"Musselman, W.C., Worthington, T.A., Mouser, J., Williams, D.M., and Brewer, S.K., 2017, Passive integrated transponder tags: Review of studies on warmwater fishes with notes on additional species: Journal of Fish and Wildlife Management, v. 8, no. 2, p. 353-364, https://doi.org/10.3996/122016-JFWM-091.","productDescription":"12 p.","startPage":"353","endPage":"364","ipdsId":"IP-061286","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":469276,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/122016-jfwm-091","text":"Publisher Index Page"},{"id":353870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-01","publicationStatus":"PW","scienceBaseUri":"5afee79de4b0da30c1bfc304","contributors":{"authors":[{"text":"Musselman, W. Chris","contributorId":204575,"corporation":false,"usgs":false,"family":"Musselman","given":"W.","email":"","middleInitial":"Chris","affiliations":[],"preferred":false,"id":734382,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Worthington, Thomas A.","contributorId":140662,"corporation":false,"usgs":false,"family":"Worthington","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":734383,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mouser, Joshua","contributorId":171894,"corporation":false,"usgs":false,"family":"Mouser","given":"Joshua","affiliations":[],"preferred":false,"id":734384,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Desiree M.","contributorId":204576,"corporation":false,"usgs":false,"family":"Williams","given":"Desiree","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":734385,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":734323,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70196823,"text":"70196823 - 2017 - Use of fish telemetry in rehabilitation planning, management, and monitoring in Areas of Concern in the Laurentian Great Lakes","interactions":[],"lastModifiedDate":"2018-05-03T13:40:46","indexId":"70196823","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Use of fish telemetry in rehabilitation planning, management, and monitoring in Areas of Concern in the Laurentian Great Lakes","docAbstract":"

Freshwater ecosystems provide many ecosystem services; however, they are often degraded as a result of human activity. To address ecosystem degradation in the Laurentian Great Lakes, Canada and the United States of America established the Great Lakes Water Quality Agreement (GLWQA). In 1987, 43 highly polluted and impacted areas were identified under the GLWQA as having one or more of 14 Beneficial Use Impairments (BUIs) to the physical and chemical habitat for fish, wildlife and humans, and were designated as Areas of Concern (AOC). Subnational jurisdictions combined with local stakeholders, with support from federal governments, developed plans to remediate and restore these sites. Biotelemetry (the tracking of animals using electronic tags) provides information on the spatial ecology of fish in the wild relevant to habitat management and stock assessment. Here, seven case studies are presented where biotelemetry data were directly incorporated within the AOC Remedial Action Plan (RAP) process. Specific applications include determining seasonal fish–habitat associations to inform habitat restoration plans, identifying the distribution of pollutant-indicator species to identify exposure risk to contamination sources, informing the development of fish passage facilities to enable fish to access fragmented upstream habitats, and assessing fish use of created or restored habitats. With growing capacity for fish biotelemetry research in the Great Lakes, we discuss the strengths and weaknesses of incorporating biotelemetry into AOC RAP processes to improve the science and practice of restoration and to facilitate the delisting of AOCs.

","language":"English","publisher":"Springer","doi":"10.1007/s00267-017-0937-x","usgsCitation":"Brooks, J., Boston, C., Doka, S.E., Gorsky, D., Gustavson, K., Hondorp, D.W., Isermann, D.A., Midwood, J.D., Pratt, T., Rous, A.M., Withers, J.L., Krueger, C., and Cooke, S.J., 2017, Use of fish telemetry in rehabilitation planning, management, and monitoring in Areas of Concern in the Laurentian Great Lakes: Environmental Management, v. 60, no. 6, p. 1139-1154, https://doi.org/10.1007/s00267-017-0937-x.","productDescription":"16 p.","startPage":"1139","endPage":"1154","ipdsId":"IP-087436","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":353940,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Lakes","volume":"60","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-22","publicationStatus":"PW","scienceBaseUri":"5afee79ce4b0da30c1bfc2fe","contributors":{"authors":[{"text":"Brooks, J.L.","contributorId":10759,"corporation":false,"usgs":true,"family":"Brooks","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":734637,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boston, C.","contributorId":204672,"corporation":false,"usgs":false,"family":"Boston","given":"C.","email":"","affiliations":[],"preferred":false,"id":734638,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Doka, Susan E.","contributorId":173419,"corporation":false,"usgs":false,"family":"Doka","given":"Susan","email":"","middleInitial":"E.","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":734639,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gorsky, Dimitry","contributorId":169691,"corporation":false,"usgs":false,"family":"Gorsky","given":"Dimitry","affiliations":[],"preferred":false,"id":734640,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gustavson, K.","contributorId":204674,"corporation":false,"usgs":false,"family":"Gustavson","given":"K.","email":"","affiliations":[],"preferred":false,"id":734641,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hondorp, Darryl W. 0000-0002-5182-1963 dhondorp@usgs.gov","orcid":"https://orcid.org/0000-0002-5182-1963","contributorId":5376,"corporation":false,"usgs":true,"family":"Hondorp","given":"Darryl","email":"dhondorp@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":734615,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":734614,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Midwood, Jonathan D.","contributorId":74659,"corporation":false,"usgs":true,"family":"Midwood","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":734642,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pratt, T. C.","contributorId":203589,"corporation":false,"usgs":false,"family":"Pratt","given":"T. C.","affiliations":[{"id":34798,"text":"DFO Canada","active":true,"usgs":false}],"preferred":false,"id":734643,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rous, Andrew M.","contributorId":203583,"corporation":false,"usgs":false,"family":"Rous","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":36663,"text":"Department of Integrative Biology, University of Guelph, Guelph, ON N1G 2W1, Canada","active":true,"usgs":false}],"preferred":false,"id":734644,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Withers, J. L.","contributorId":204675,"corporation":false,"usgs":false,"family":"Withers","given":"J.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":734645,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Krueger, C.C.","contributorId":97042,"corporation":false,"usgs":true,"family":"Krueger","given":"C.C.","email":"","affiliations":[],"preferred":false,"id":734646,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Cooke, S. J.","contributorId":55645,"corporation":false,"usgs":false,"family":"Cooke","given":"S.","email":"","middleInitial":"J.","affiliations":[{"id":16718,"text":"Department of Biology, Carleton University, 1125 Colonel By Drive, Ottawa, Ontario K1S 5B6, Canada","active":true,"usgs":false}],"preferred":false,"id":734647,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70196791,"text":"70196791 - 2017 - Evaluating the potential for weed seed dispersal based on waterfowl consumption and seed viability","interactions":[],"lastModifiedDate":"2018-05-01T14:13:39","indexId":"70196791","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3035,"text":"Pest Management Science","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the potential for weed seed dispersal based on waterfowl consumption and seed viability","docAbstract":"

BACKGROUND

Migratory waterfowl have often been implicated in the movement of troublesome agronomic and wetland weed species. However, minimal research has been conducted to investigate the dispersal of agronomically important weed species by waterfowl. The two objectives for this project were to determine what weed species are being consumed by ducks and snow geese, and to determine the recovery rate and viability of 13 agronomic weed species after passage through a duck's digestive system.

RESULTS

Seed recovered from digestive tracts of 526 ducks and geese harvested during a 2‐year field study had 35 020 plants emerge. A greater variety of plant species emerged from ducks each year (47 and 31 species) compared to geese (11 and 3 species). Viable seed from 11 of 13 weed species fed to ducks in a controlled feeding study were recovered. Viability rate and gut retention times indicated potential dispersal up to 2900 km from the source depending on seed characteristics and variability in waterfowl dispersal distances.

CONCLUSIONS

Study results confirm that waterfowl are consuming seeds from a variety of agronomically important weed species, including Palmer amaranth, which can remain viable after passage through digestive tracts and have potential to be dispersed over long distances by waterfowl.

","language":"English","publisher":"Wiley","doi":"10.1002/ps.4710","usgsCitation":"Farmer, J.A., Webb, E.B., Pierce, R.A., and Bradley, K.W., 2017, Evaluating the potential for weed seed dispersal based on waterfowl consumption and seed viability: Pest Management Science, v. 73, no. 12, p. 2592-2603, https://doi.org/10.1002/ps.4710.","productDescription":"12 p.","startPage":"2592","endPage":"2603","ipdsId":"IP-079701","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":353888,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"73","issue":"12","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-27","publicationStatus":"PW","scienceBaseUri":"5afee79ce4b0da30c1bfc302","contributors":{"authors":[{"text":"Farmer, Jaime A.","contributorId":204585,"corporation":false,"usgs":false,"family":"Farmer","given":"Jaime","email":"","middleInitial":"A.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":734420,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":734419,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pierce, Robert A. II","contributorId":204586,"corporation":false,"usgs":false,"family":"Pierce","given":"Robert","suffix":"II","email":"","middleInitial":"A.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":734421,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradley, Kevin W.","contributorId":204587,"corporation":false,"usgs":false,"family":"Bradley","given":"Kevin","email":"","middleInitial":"W.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":734422,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196793,"text":"70196793 - 2017 - Thermal tolerances of fishes occupying groundwater and surface-water dominated streams","interactions":[],"lastModifiedDate":"2018-05-01T14:48:45","indexId":"70196793","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Thermal tolerances of fishes occupying groundwater and surface-water dominated streams","docAbstract":"

A thermal tolerance study mimicking different stream environments could improve our ecological understanding of how increasing water temperatures affect stream ectotherms and improve our ability to predict organism responses based on river classification schemes. Our objective was to compare the thermal tolerances of stream fishes of different habitat guilds among 3 exposure periods: critical thermal maximum (CTmax, increase of 2°C/h until loss of equilibrium [LOE] and death [D]), and 2 longer-term treatments (net daily increase of 1°C) that mimicked spring-fed (SF; 4°C daily increase) and non-spring-fed (NSF; 8°C daily increase) conditions. Fishes in the pelagic habitat guild had a 1°C higher average CTmax than benthic fishes. Thermal responses of species depended on exposure period with higher and increased variation in tolerances associated with the SF and NSF exposure periods. Logperch, Orangebelly Darter, Orangethroat Darter, and Southern Redbelly Dace were more sensitive to thermal increases regardless of SF or NSF treatment than were the 3 remaining species (Brook Silverside, Central Stoneroller, and Redspot Chub), which represented average thermal responses among the species tested. The 3 species that had a higher thermal response to CTmax-D (lethal endpoint of death) also were able to increase their tolerances more than other species in both SF and NSF treatments. Our data indicate finer guild designations may be useful for predicting thermal-response patterns. A diel thermal refuge increases the thermal responses of ectotherms to daily maxima, but the patterns across our SF and NSF treatments were similar suggesting minimum refuge temperatures may be more important than maximums. Nonetheless, stream temperature cooling over a 24-h period is important to ectotherm thermal tolerances, a result suggesting that sources of cooler water to streams might benefit from protection.

","language":"English","publisher":"University of Chicago Press","doi":"10.1086/694781","usgsCitation":"Farless, N., and Brewer, S.K., 2017, Thermal tolerances of fishes occupying groundwater and surface-water dominated streams: Freshwater Science, v. 36, no. 4, p. 866-876, https://doi.org/10.1086/694781.","productDescription":"11 p.","startPage":"866","endPage":"876","ipdsId":"IP-079936","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":353891,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee79ce4b0da30c1bfc300","contributors":{"authors":[{"text":"Farless, Nicole","contributorId":141040,"corporation":false,"usgs":false,"family":"Farless","given":"Nicole","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":734465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":734424,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70196276,"text":"70196276 - 2017 - Genetic implications of bottleneck effects of differing severities on genetic diversity in naturally recovering populations: An example from Hawaiian coot and Hawaiian gallinule","interactions":[],"lastModifiedDate":"2018-03-30T10:46:58","indexId":"70196276","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","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}},"title":"Genetic implications of bottleneck effects of differing severities on genetic diversity in naturally recovering populations: An example from Hawaiian coot and Hawaiian gallinule","docAbstract":"

The evolutionary trajectory of populations through time is influenced by the interplay of forces (biological, evolutionary, and anthropogenic) acting on the standing genetic variation. We used microsatellite and mitochondrial loci to examine the influence of population declines, of varying severity, on genetic diversity within two Hawaiian endemic waterbirds, the Hawaiian coot and Hawaiian gallinule, by comparing historical (samples collected in the late 1800s and early 1900s) and modern (collected in 2012–2013) populations. Population declines simultaneously experienced by Hawaiian coots and Hawaiian gallinules differentially shaped the evolutionary trajectory of these two populations. Within Hawaiian coot, large reductions (between −38.4% and −51.4%) in mitochondrial diversity were observed, although minimal differences were observed in the distribution of allelic and haplotypic frequencies between sampled time periods. Conversely, for Hawaiian gallinule, allelic frequencies were strongly differentiated between time periods, signatures of a genetic bottleneck were detected, and biases in means of the effective population size were observed at microsatellite loci. The strength of the decline appears to have had a greater influence on genetic diversity within Hawaiian gallinule than Hawaiian coot, coincident with the reduction in census size. These species exhibit similar life history characteristics and generation times; therefore, we hypothesize that differences in behavior and colonization history are likely playing a large role in how allelic and haplotypic frequencies are being shaped through time. Furthermore, differences in patterns of genetic diversity within Hawaiian coot and Hawaiian gallinule highlight the influence of demographic and evolutionary processes in shaping how species respond genetically to ecological stressors.

","language":"English","publisher":"Wiley","doi":"10.1002/ece3.3530","usgsCitation":"Sonsthagen, S.A., Wilson, R.E., and Underwood, J.G., 2017, Genetic implications of bottleneck effects of differing severities on genetic diversity in naturally recovering populations: An example from Hawaiian coot and Hawaiian gallinule: Ecology and Evolution, v. 7, no. 23, p. 9925-9934, https://doi.org/10.1002/ece3.3530.","productDescription":"10 p.","startPage":"9925","endPage":"9934","ipdsId":"IP-085014","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":469288,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.3530","text":"Publisher Index Page"},{"id":352990,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"23","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-20","publicationStatus":"PW","scienceBaseUri":"5afee79ee4b0da30c1bfc318","contributors":{"authors":[{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":732031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Robert E. 0000-0003-1800-0183 rewilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1800-0183","contributorId":5718,"corporation":false,"usgs":true,"family":"Wilson","given":"Robert","email":"rewilson@usgs.gov","middleInitial":"E.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":732032,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Underwood, Jared G.","contributorId":198606,"corporation":false,"usgs":false,"family":"Underwood","given":"Jared","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":732033,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70195325,"text":"70195325 - 2017 - A statistical method to predict flow permanence in dryland streams from time series of stream temperature","interactions":[],"lastModifiedDate":"2018-02-08T13:51:52","indexId":"70195325","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"A statistical method to predict flow permanence in dryland streams from time series of stream temperature","docAbstract":"

Intermittent and ephemeral streams represent more than half of the length of the global river network. Dryland freshwater ecosystems are especially vulnerable to changes in human-related water uses as well as shifts in terrestrial climates. Yet, the description and quantification of patterns of flow permanence in these systems is challenging mostly due to difficulties in instrumentation. Here, we took advantage of existing stream temperature datasets in dryland streams in the northwest Great Basin desert, USA, to extract critical information on climate-sensitive patterns of flow permanence. We used a signal detection technique, Hidden Markov Models (HMMs), to extract information from daily time series of stream temperature to diagnose patterns of stream drying. Specifically, we applied HMMs to time series of daily standard deviation (SD) of stream temperature (i.e., dry stream channels typically display highly variable daily temperature records compared to wet stream channels) between April and August (2015–2016). We used information from paired stream and air temperature data loggers as well as co-located stream temperature data loggers with electrical resistors as confirmatory sources of the timing of stream drying. We expanded our approach to an entire stream network to illustrate the utility of the method to detect patterns of flow permanence over a broader spatial extent. We successfully identified and separated signals characteristic of wet and dry stream conditions and their shifts over time. Most of our study sites within the entire stream network exhibited a single state over the entire season (80%), but a portion of them showed one or more shifts among states (17%). We provide recommendations to use this approach based on a series of simple steps. Our findings illustrate a successful method that can be used to rigorously quantify flow permanence regimes in streams using existing records of stream temperature.

","language":"English","publisher":"MDPI","doi":"10.3390/w9120946","usgsCitation":"Arismendi, I., Dunham, J.B., Heck, M., Schultz, L., and Hockman-Wert, D., 2017, A statistical method to predict flow permanence in dryland streams from time series of stream temperature: Water, v. 9, no. 12, p. 1-13, https://doi.org/10.3390/w9120946.","productDescription":"Article 946; 13 p.","startPage":"1","endPage":"13","ipdsId":"IP-087892","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":469281,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w9120946","text":"Publisher Index Page"},{"id":438137,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7JQ0ZW2","text":"USGS data release","linkHelpText":"Stream temperature and drying data from Willow/Whitehorse watersheds, southeast Oregon, 2014-16, and Willow/Rock/Frazer watersheds, northern Nevada, 2015-2016"},{"id":351364,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada, Oregon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118,\n 42\n ],\n [\n -118,\n 42.33\n ],\n [\n -118.33,\n 42.33\n ],\n [\n -118.33,\n 42\n ],\n [\n -118,\n 42\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.33,\n 41.1667\n ],\n [\n -116.8333,\n 41.1667\n ],\n [\n -116.8333,\n 41.4167\n ],\n [\n -116.33,\n 41.4167\n ],\n [\n -116.33,\n 41.1667\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-05","publicationStatus":"PW","scienceBaseUri":"5a7d6ffee4b00f54eb2441c0","contributors":{"authors":[{"text":"Arismendi, Ivan 0000-0002-8774-9350","orcid":"https://orcid.org/0000-0002-8774-9350","contributorId":202207,"corporation":false,"usgs":false,"family":"Arismendi","given":"Ivan","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":727859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":147808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","email":"jdunham@usgs.gov","middleInitial":"B.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":727858,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heck, Michael 0000-0001-8858-7325 mheck@usgs.gov","orcid":"https://orcid.org/0000-0001-8858-7325","contributorId":4796,"corporation":false,"usgs":true,"family":"Heck","given":"Michael","email":"mheck@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":727860,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schultz, Luke 0000-0002-6751-4626 lschultz@usgs.gov","orcid":"https://orcid.org/0000-0002-6751-4626","contributorId":193171,"corporation":false,"usgs":true,"family":"Schultz","given":"Luke","email":"lschultz@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":727861,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hockman-Wert, David 0000-0003-2436-6237 dhockman-wert@usgs.gov","orcid":"https://orcid.org/0000-0003-2436-6237","contributorId":3891,"corporation":false,"usgs":true,"family":"Hockman-Wert","given":"David","email":"dhockman-wert@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":727862,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70196280,"text":"70196280 - 2017 - Normalized difference vegetation index as an estimator for abundance and quality of avian herbivore forage in arctic Alaska","interactions":[],"lastModifiedDate":"2022-04-22T15:45:51.011946","indexId":"70196280","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Normalized difference vegetation index as an estimator for abundance and quality of avian herbivore forage in arctic Alaska","docAbstract":"

Tools that can monitor biomass and nutritional quality of forage plants are needed to understand how arctic herbivores may respond to the rapidly changing environment at high latitudes. The Normalized Difference Vegetation Index (NDVI) has been widely used to assess changes in abundance and distribution of terrestrial vegetative communities. However, the efficacy of NDVI to measure seasonal changes in biomass and nutritional quality of forage plants in the Arctic remains largely un-evaluated at landscape and fine-scale levels. We modeled the relationships between NDVI and seasonal changes in aboveground biomass and nitrogen concentration in halophytic graminoids, a key food source for arctic-nesting geese. The model was calibrated based on data collected at one site and validated using data from another site. Effects of spatial scale on model accuracy were determined by comparing model predictions between NDVI derived from moderate resolution (250 × 250 m pixels) satellite data and high resolution (20 cm diameter area) handheld spectrometer data. NDVI derived from the handheld spectrometer was a superior estimator (R2 ≥ 0.67) of seasonal changes in aboveground biomass compared to satellite-derived NDVI (R2 ≤ 0.40). The addition of temperature and precipitation variables to the model for biomass improved fit, but provided minor gains in predictive power beyond that of the NDVI-only model. This model, however, was only a moderately accurate estimator of biomass in an ecologically-similar halophytic graminoid wetland located 100 km away, indicating the necessity for site-specific validation. In contrast to assessments of biomass, satellite-derived NDVI was a better estimator for the timing of peak percent of nitrogen than NDVI derived from the handheld spectrometer. We confirmed that the date when NDVI reached 50% of its seasonal maximum was a reasonable approximation of the period of peak spring vegetative green-up and peak percent nitrogen. This study demonstrates the importance of matching the scale of NDVI measurements to the vegetation properties of biomass and nitrogen phenology.

","language":"English","publisher":"MDPI","doi":"10.3390/rs9121234","usgsCitation":"Hogrefe, K.R., Patil, V.P., Ruthrauff, D.R., Meixell, B.W., Budde, M.E., Hupp, J.W., and Ward, D.H., 2017, Normalized difference vegetation index as an estimator for abundance and quality of avian herbivore forage in arctic Alaska: Remote Sensing, v. 9, no. 12, 1234; 21 p., https://doi.org/10.3390/rs9121234.","productDescription":"1234; 21 p.","ipdsId":"IP-088696","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":469282,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs9121234","text":"Publisher Index Page"},{"id":438135,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7M907KT","text":"USGS data release","linkHelpText":"Normalized Difference Vegetation Index, Biomass, and Nitrogen Content of Goose Forage, Northern Alaska, 2011-2018"},{"id":352986,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -150.79,\n 70.455\n ],\n [\n -150.75,\n 70.455\n ],\n [\n -150.75,\n 70.467\n ],\n [\n -150.79,\n 70.467\n ],\n [\n -150.79,\n 70.455\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-29","publicationStatus":"PW","scienceBaseUri":"5afee79ee4b0da30c1bfc316","contributors":{"authors":[{"text":"Hogrefe, Kyle R. khogrefe@usgs.gov","contributorId":4264,"corporation":false,"usgs":true,"family":"Hogrefe","given":"Kyle","email":"khogrefe@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":732074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patil, Vijay P. 0000-0002-9357-194X vpatil@usgs.gov","orcid":"https://orcid.org/0000-0002-9357-194X","contributorId":203676,"corporation":false,"usgs":true,"family":"Patil","given":"Vijay","email":"vpatil@usgs.gov","middleInitial":"P.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":732075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruthrauff, Daniel R. 0000-0003-1355-9156 druthrauff@usgs.gov","orcid":"https://orcid.org/0000-0003-1355-9156","contributorId":4181,"corporation":false,"usgs":true,"family":"Ruthrauff","given":"Daniel","email":"druthrauff@usgs.gov","middleInitial":"R.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":732076,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meixell, Brandt W. 0000-0002-6738-0349 bmeixell@usgs.gov","orcid":"https://orcid.org/0000-0002-6738-0349","contributorId":138716,"corporation":false,"usgs":true,"family":"Meixell","given":"Brandt","email":"bmeixell@usgs.gov","middleInitial":"W.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":732077,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Budde, Michael E. 0000-0002-9098-2751 mbudde@usgs.gov","orcid":"https://orcid.org/0000-0002-9098-2751","contributorId":3007,"corporation":false,"usgs":true,"family":"Budde","given":"Michael","email":"mbudde@usgs.gov","middleInitial":"E.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":732078,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hupp, Jerry W. 0000-0002-6439-3910 jhupp@usgs.gov","orcid":"https://orcid.org/0000-0002-6439-3910","contributorId":127803,"corporation":false,"usgs":true,"family":"Hupp","given":"Jerry","email":"jhupp@usgs.gov","middleInitial":"W.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":732079,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ward, David H. 0000-0002-5242-2526 dward@usgs.gov","orcid":"https://orcid.org/0000-0002-5242-2526","contributorId":3247,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dward@usgs.gov","middleInitial":"H.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":732073,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70195025,"text":"70195025 - 2017 - Characters in Arctostaphylos taxonomy","interactions":[],"lastModifiedDate":"2018-02-05T10:54:01","indexId":"70195025","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2639,"text":"Madroño","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Characters in Arctostaphylos taxonomy","title":"Characters in Arctostaphylos taxonomy","docAbstract":"

There is value in understanding the past and how it has affected the present. Science focuses on empirical findings, and we know that our prior experiences and those of our predecessors play important roles in determining how we interpret the present. We learn from accomplishments and foibles of predecessors and appreciate the real life experiences we have gone through. In our studies of the genus Arctostaphylos Adans. we have been struck by the fascinating stories surrounding taxonomists who have played roles in the development of our current understanding of the group. In addition to providing insights, they sometimes provide humor and lessons on the value of competition versus collaboration. We offer this history of the humans that forged the taxonomy behind Arctostaphylos classification in this light.

","language":"English","publisher":"California Botanical Society","doi":"10.3120/0024-9637-64.4.138","usgsCitation":"Keeley, J.E., Parker, V.T., and Vasey, M.C., 2017, Characters in Arctostaphylos taxonomy: Madroño, v. 64, no. 4, p. 138-153, https://doi.org/10.3120/0024-9637-64.4.138.","productDescription":"16 p.","startPage":"138","endPage":"153","ipdsId":"IP-081515","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":469285,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.biodiversitylibrary.org/part/388898","text":"External Repository"},{"id":351005,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"64","issue":"4","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a797b93e4b00f54eb1f5e14","contributors":{"authors":[{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":726632,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parker, V. Thomas","contributorId":167557,"corporation":false,"usgs":false,"family":"Parker","given":"V.","email":"","middleInitial":"Thomas","affiliations":[{"id":24748,"text":"San Francisco State University, San Francisco, CA","active":true,"usgs":false}],"preferred":false,"id":726633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vasey, Michael C.","contributorId":167558,"corporation":false,"usgs":false,"family":"Vasey","given":"Michael","email":"","middleInitial":"C.","affiliations":[{"id":24748,"text":"San Francisco State University, San Francisco, CA","active":true,"usgs":false}],"preferred":false,"id":726634,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70196268,"text":"70196268 - 2017 - Metabarcoding of environmental DNA samples to explore the use of uranium mine containment ponds as a water source for wildlife","interactions":[],"lastModifiedDate":"2018-03-29T10:23:16","indexId":"70196268","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1398,"text":"Diversity","active":true,"publicationSubtype":{"id":10}},"title":"Metabarcoding of environmental DNA samples to explore the use of uranium mine containment ponds as a water source for wildlife","docAbstract":"

Understanding how anthropogenic impacts on the landscape affect wildlife requires a knowledge of community assemblages. Species surveys are the first step in assessing community structure, and recent molecular applications such as metabarcoding and environmental DNA analyses have been proposed as an additional and complementary wildlife survey method. Here, we test eDNA metabarcoding as a survey tool to examine the potential use of uranium mine containment ponds as water sources by wildlife. We tested samples from surface water near mines and from one mine containment pond using two markers, 12S and 16S rRNA gene amplicons, to survey for vertebrate species. We recovered large numbers of sequence reads from taxa expected to be in the area and from less common or hard to observe taxa such as the tiger salamander and gray fox. Detection of these two species is of note because they were not observed in a previous species assessment, and tiger salamander DNA was found in the mine containment pond sample. We also found that sample concentration by centrifugation was a more efficient and more feasible method than filtration in these highly turbid surface waters. Ultimately, the use of eDNA metabarcoding could allow for a better understanding of the area’s overall biodiversity and community composition as well as aid current ecotoxicological risk assessment work.

","language":"English","publisher":"MDPI","doi":"10.3390/d9040054","usgsCitation":"Klymus, K.E., Richter, C.A., Thompson, N., and Hinck, J.E., 2017, Metabarcoding of environmental DNA samples to explore the use of uranium mine containment ponds as a water source for wildlife: Diversity, v. 9, no. 4, Article 54; 18 p., https://doi.org/10.3390/d9040054.","productDescription":"Article 54; 18 p.","ipdsId":"IP-091285","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":461341,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/d9040054","text":"Publisher Index Page"},{"id":438133,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7QC02Q5","text":"USGS data release","linkHelpText":"eDNA sampling sites in the Grand Canyon region near breccia pipe uranium mines_2015_2016"},{"id":352922,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-21","publicationStatus":"PW","scienceBaseUri":"5afee79ee4b0da30c1bfc31a","contributors":{"authors":[{"text":"Klymus, Katy E. 0000-0002-8843-6241 kklymus@usgs.gov","orcid":"https://orcid.org/0000-0002-8843-6241","contributorId":5043,"corporation":false,"usgs":true,"family":"Klymus","given":"Katy","email":"kklymus@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":731996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richter, Catherine A. 0000-0001-7322-4206 crichter@usgs.gov","orcid":"https://orcid.org/0000-0001-7322-4206","contributorId":138994,"corporation":false,"usgs":true,"family":"Richter","given":"Catherine","email":"crichter@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":731997,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Nathan 0000-0002-1372-6340 nthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-1372-6340","contributorId":196133,"corporation":false,"usgs":true,"family":"Thompson","given":"Nathan","email":"nthompson@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":731998,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hinck, Jo Ellen 0000-0002-4912-5766 jhinck@usgs.gov","orcid":"https://orcid.org/0000-0002-4912-5766","contributorId":2743,"corporation":false,"usgs":true,"family":"Hinck","given":"Jo","email":"jhinck@usgs.gov","middleInitial":"Ellen","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":731999,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70191050,"text":"70191050 - 2017 - Vulnerability of coral reefs to bioerosion from land-based sources of pollution","interactions":[],"lastModifiedDate":"2022-11-14T16:57:56.217623","indexId":"70191050","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2315,"text":"Journal of Geophysical Research C: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Vulnerability of coral reefs to bioerosion from land-based sources of pollution","docAbstract":"

Ocean acidification (OA), the gradual decline in ocean pH and [ \"math] caused by rising levels of atmospheric CO2, poses a significant threat to coral reef ecosystems, depressing rates of calcium carbonate (CaCO3) production, and enhancing rates of bioerosion and dissolution. As ocean pH and [ \"math] decline globally, there is increasing emphasis on managing local stressors that can exacerbate the vulnerability of coral reefs to the effects of OA. We show that sustained, nutrient rich, lower pH submarine groundwater discharging onto nearshore coral reefs off west Maui lowers the pH of seawater and exposes corals to nitrate concentrations 50 times higher than ambient. Rates of coral calcification are substantially decreased, and rates of bioerosion are orders of magnitude higher than those observed in coral cores collected in the Pacific under equivalent low pH conditions but living in oligotrophic waters. Heavier coral nitrogen isotope (δ15N) values pinpoint not only site-specific eutrophication, but also a sewage nitrogen source enriched in 15N. Our results show that eutrophication of reef seawater by land-based sources of pollution can magnify the effects of OA through nutrient driven-bioerosion. These conditions could contribute to the collapse of coastal coral reef ecosystems sooner than current projections predict based only on ocean acidification.

","language":"English","publisher":"Wiley","doi":"10.1002/2017JC013264","usgsCitation":"Prouty, N.G., Anne Cohen, Yates, K.K., Storlazzi, C.D., Swarzenski, P.W., and White, D., 2017, Vulnerability of coral reefs to bioerosion from land-based sources of pollution: Journal of Geophysical Research C: Oceans, v. 122, no. 12, p. 9319-9331, https://doi.org/10.1002/2017JC013264.","productDescription":"13 p.","startPage":"9319","endPage":"9331","ipdsId":"IP-083486","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488732,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017jc013264","text":"Publisher Index Page"},{"id":349902,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Maui","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.6944,\n 20.9361\n ],\n [\n -156.6889,\n 20.9361\n ],\n [\n -156.6889,\n 20.9472\n ],\n [\n -156.6944,\n 20.9472\n ],\n [\n -156.6944,\n 20.9361\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"122","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60faf9e4b06e28e9c22a67","contributors":{"authors":[{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":711059,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anne Cohen","contributorId":191409,"corporation":false,"usgs":false,"family":"Anne Cohen","affiliations":[],"preferred":false,"id":711060,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yates, Kimberly K. 0000-0001-8764-0358 kyates@usgs.gov","orcid":"https://orcid.org/0000-0001-8764-0358","contributorId":420,"corporation":false,"usgs":true,"family":"Yates","given":"Kimberly","email":"kyates@usgs.gov","middleInitial":"K.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":711061,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":711062,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":711063,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"White, Darla","contributorId":194122,"corporation":false,"usgs":false,"family":"White","given":"Darla","affiliations":[],"preferred":false,"id":711064,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70195364,"text":"70195364 - 2017 - Correcting spacecraft jitter in HiRISE images","interactions":[],"lastModifiedDate":"2018-03-13T17:21:17","indexId":"70195364","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"seriesTitle":{"id":5650,"text":"The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","onlineIssn":"2194-9034","printIssn":"1682-1750","active":true,"publicationSubtype":{"id":19}},"title":"Correcting spacecraft jitter in HiRISE images","docAbstract":"

Mechanical oscillations or vibrations on spacecraft, also called pointing jitter, cause geometric distortions and/or smear in high resolution digital images acquired from orbit. Geometric distortion is especially a problem with pushbroom type sensors, such as the High Resolution Imaging Science Experiment (HiRISE) instrument on board the Mars Reconnaissance Orbiter (MRO). Geometric distortions occur at a range of frequencies that may not be obvious in the image products, but can cause problems with stereo image correlation in the production of digital elevation models, and in measuring surface changes over time in orthorectified images. The HiRISE focal plane comprises a staggered array of fourteen charge-coupled devices (CCDs) with pixel IFOV of 1 microradian. The high spatial resolution of HiRISE makes it both sensitive to, and an excellent recorder of jitter. We present an algorithm using Fourier analysis to resolve the jitter function for a HiRISE image that is then used to update instrument pointing information to remove geometric distortions from the image. Implementation of the jitter analysis and image correction is performed on selected HiRISE images. Resulting corrected images and updated pointing information are made available to the public. Results show marked reduction of geometric distortions. This work has applications to similar cameras operating now, and to the design of future instruments (such as the Europa Imaging System).

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings: 2017 international symposium on planetary remote sensing and mapping (Volume XLII-3/W1)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2017 International Symposium on Planetary Remote Sensing and Mapping","conferenceDate":"August 13-16, 2017","conferenceLocation":"Hong Kong","language":"English","publisher":"International Society for Photogrammetry and Remote Sensing","doi":"10.5194/isprs-archives-XLII-3-W1-141-2017","usgsCitation":"Sutton, S.S., Boyd, A., Kirk, R.L., Cook, D., Backer, J., Fennema, A., Heyd, R., McEwen, A., and Mirchandani, S., 2017, Correcting spacecraft jitter in HiRISE images, in Proceedings: 2017 international symposium on planetary remote sensing and mapping (Volume XLII-3/W1), v. XLII-3/W1, Hong Kong, August 13-16, 2017, p. 141-148, https://doi.org/10.5194/isprs-archives-XLII-3-W1-141-2017.","productDescription":"8 p.","startPage":"141","endPage":"148","ipdsId":"IP-088316","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":461337,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/isprs-archives-xlii-3-w1-141-2017","text":"Publisher Index Page"},{"id":351462,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"XLII-3/W1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-25","publicationStatus":"PW","scienceBaseUri":"5afee7abe4b0da30c1bfc343","contributors":{"editors":[{"text":"Wu, B.","contributorId":23362,"corporation":false,"usgs":true,"family":"Wu","given":"B.","email":"","affiliations":[],"preferred":false,"id":730983,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Di, K.","contributorId":61936,"corporation":false,"usgs":true,"family":"Di","given":"K.","email":"","affiliations":[],"preferred":false,"id":730984,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Oberst, J.","contributorId":103427,"corporation":false,"usgs":true,"family":"Oberst","given":"J.","email":"","affiliations":[],"preferred":false,"id":730985,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Karachevtseva, I.","contributorId":147166,"corporation":false,"usgs":false,"family":"Karachevtseva","given":"I.","email":"","affiliations":[],"preferred":false,"id":730986,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Sutton, S. S.","contributorId":202341,"corporation":false,"usgs":false,"family":"Sutton","given":"S.","email":"","middleInitial":"S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":728153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boyd, A.K.","contributorId":202342,"corporation":false,"usgs":false,"family":"Boyd","given":"A.K.","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":728154,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":728152,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cook, Debbie 0000-0001-9973-9929","orcid":"https://orcid.org/0000-0001-9973-9929","contributorId":202343,"corporation":false,"usgs":true,"family":"Cook","given":"Debbie","email":"","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":728155,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Backer, Jean 0000-0002-6010-3867","orcid":"https://orcid.org/0000-0002-6010-3867","contributorId":202344,"corporation":false,"usgs":true,"family":"Backer","given":"Jean","email":"","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":728156,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fennema, A.","contributorId":202345,"corporation":false,"usgs":false,"family":"Fennema","given":"A.","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":728157,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Heyd, R.","contributorId":202346,"corporation":false,"usgs":false,"family":"Heyd","given":"R.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":728158,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McEwen, A.S.","contributorId":202347,"corporation":false,"usgs":false,"family":"McEwen","given":"A.S.","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":728159,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mirchandani, S.D.","contributorId":202348,"corporation":false,"usgs":false,"family":"Mirchandani","given":"S.D.","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":728160,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70190237,"text":"sir20175072 - 2017 - Groundwater model of the Great Basin carbonate and alluvial aquifer system version 3.0: Incorporating revisions in southwestern Utah and east central Nevada","interactions":[],"lastModifiedDate":"2017-12-04T10:30:46","indexId":"sir20175072","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","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":"2017-5072","title":"Groundwater model of the Great Basin carbonate and alluvial aquifer system version 3.0: Incorporating revisions in southwestern Utah and east central Nevada","docAbstract":"

The groundwater model described in this report is a new version of previously published steady-state numerical groundwater flow models of the Great Basin carbonate and alluvial aquifer system, and was developed in conjunction with U.S. Geological Survey studies in Parowan, Pine, and Wah Wah Valleys, Utah. This version of the model is GBCAAS v. 3.0 and supersedes previous versions. The objectives of the model for Parowan Valley were to simulate revised conceptual estimates of recharge and discharge, to estimate simulated aquifer storage properties and the amount of reduction in storage as a result of historical groundwater withdrawals, and to assess reduction in groundwater withdrawals necessary to mitigate groundwater-level declines in the basin. The objectives of the model for the area near Pine and Wah Wah Valleys were to recalibrate the model using new observations of groundwater levels and evapotranspiration of groundwater; to provide new estimates of simulated recharge, hydraulic conductivity, and interbasin flow; and to simulate the effects of proposed groundwater withdrawals on the regional flow system. Meeting these objectives required the addition of 15 transient calibration stress periods and 14 projection stress periods, aquifer storage properties, historical withdrawals in Parowan Valley, and observations of water-level changes in Parowan Valley. 

Recharge in Parowan Valley and withdrawal from wells in Parowan Valley and two nearby wells in Cedar City Valley vary for each calibration stress period representing conditions from March 1940 to November 2013. Stresses, including recharge, are the same in each stress period as in the steady-state stress period for all areas outside of Parowan Valley. The model was calibrated to transient conditions only in Parowan Valley. Simulated storage properties outside of Parowan Valley were set the same as the Parowan Valley properties and are not considered calibrated. 

Model observations in GBCAAS v. 3.0 are groundwater levels at wells and discharge locations; water-level changes; and discharge to springs, evapotranspiration of groundwater, rivers, and lakes. All observations in the model outside of Parowan Valley are considered to represent steady-state conditions. Composite scaled sensitivities indicate the observations of discharge to rivers and springs provide more information about model parameters in the model focus area than do water-level observations. Water levels and water-level changes, however, provide the only information about specific yield and specific storage parameters and provide more information about recharge and withdrawals in Parowan Valley than any other observation group. 

Comparisons of simulated water levels and measured water levels in Parowan Valley indicated that the model fits the overall trend of declining water levels and provides reasonable estimates of long-term reduction in storage and of storage changes from 2012 to 2013. The conceptual and simulated groundwater budgets for Parowan Valley from November 2012 to November 2013 are similar, with recharge of about 20,000 acre-feet and discharge of about 45,000 acre-feet. In the simulation, historical withdrawals averaging about 28,000 acre-feet per year (acre-ft/yr) cause major changes in the groundwater system in Parowan Valley. These changes include the cessation of almost all natural discharge in the valley and the long-term removal of water from storage. 

Simulated recharge in Pine Valley of 11,000 acre-ft/yr and in Wah Wah Valley of 3,200 acre-ft/yr is substantially less in GBCAAS v. 3.0 than that simulated by previous model versions. In addition, the valleys have less simulated inflow from and outflow to other hydrographic areas than were simulated by previous model versions. The effects of groundwater development in these valleys, however, are independent of the amount of water recharging in and flowing through the valleys. Groundwater withdrawals in Pine and Wah Wah Valleys will decrease groundwater storage (causing drawdown) until discharge in surrounding areas and mountain springs around the two valleys is reduced by the rate of withdrawal. 

The model was used to estimate that reducing withdrawals in Parowan Valley from 35,000 to about 22,000 acre-ft/yr would likely stabilize groundwater levels in the valley if recharge varies as it did from about 1950 to 2012. The model was also used to demonstrate that withdrawals of 15,000 acre-ft/yr from Pine Valley and 6,500 acre-ft/yr from Wah Wah Valley could ultimately cause long-term steady-state water-level declines of about 1,900 feet near the withdrawal wells and of more than 5 feet in an area of about 10,500 square miles. The timing of drawdown and capture and the ultimate amount of drawdown are dependent on the proximity to areas of simulated natural groundwater discharge, simulated transmissivity, and simulated storage properties. The model projections are a representation of possible effects.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175072","collaboration":"Prepared in cooperation with the Utah Department of Natural Resources and the U.S. Bureau of Land Management","usgsCitation":"Brooks, L.E., 2017, Groundwater model of the Great Basin carbonate and alluvial aquifer system version 3.0: Incorporating revisions in southwestern Utah and east central Nevada: U.S. Geological Survey Scientific Investigations Report 2017–5072, 77 p., 2 appendixes, https://doi.org/10.3133/sir20175072.","productDescription":"Report: x, 77 p.; Appendix Tables; Data Release","numberOfPages":"92","onlineOnly":"Y","ipdsId":"IP-073792","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":349442,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5072/sir20175072.pdf","text":"Report","size":"4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5072"},{"id":349441,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5072/coverthb.jpg"},{"id":349505,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/sir2017-5072.xml","text":"Data Release","description":"SIR 2017-5072","linkHelpText":"MODFLOW-LGR data sets for the Great Basin carbonate and alluvial aquifer system model version 3.0: Revisions in southwestern Utah and east central Nevada"},{"id":349444,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2017/5072/sir20175072_appendix1table5_6.zip","text":"Appendix 1 Tables 5 and 6","size":"400 KB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2017-5072"}],"country":"United States","state":"Nevada, Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.25,\n 37.5\n ],\n [\n -111.75,\n 37.5\n ],\n [\n -111.75,\n 40\n ],\n [\n -114.25,\n 40\n ],\n [\n -114.25,\n 37.5\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director,
Utah Water Science Center
U.S. Geological Survey
2329 West Orton Circle
Salt Lake City, UT 84119-2047

","tableOfContents":"","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2017-12-01","noUsgsAuthors":false,"publicationDate":"2017-12-01","publicationStatus":"PW","scienceBaseUri":"5a60fafae4b06e28e9c22a6d","contributors":{"authors":[{"text":"Brooks, Lynette E. 0000-0002-9074-0939 lebrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-9074-0939","contributorId":2718,"corporation":false,"usgs":true,"family":"Brooks","given":"Lynette","email":"lebrooks@usgs.gov","middleInitial":"E.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":708044,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70193271,"text":"70193271 - 2017 - Sampling for age and growth estimation","interactions":[],"lastModifiedDate":"2020-08-20T17:50:04.575886","indexId":"70193271","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"5","title":"Sampling for age and growth estimation","docAbstract":"

No abstract available.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Age and growth of fishes: Principles and techniques","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Fisheries Society","usgsCitation":"Miranda, L.E., and Colvin, M., 2017, Sampling for age and growth estimation, chap. 5 of Age and growth of fishes: Principles and techniques.","ipdsId":"IP-066783","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349931,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349930,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://fisheries.org/bookstore/all-titles/professional-and-trade/55078c/"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60faf9e4b06e28e9c22a4e","contributors":{"editors":[{"text":"Quist, Michael C. mquist@usgs.gov","contributorId":4042,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","email":"mquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":350,"text":"Iowa Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":724828,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":724829,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":718485,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Colvin, M.E.","contributorId":53190,"corporation":false,"usgs":true,"family":"Colvin","given":"M.E.","affiliations":[],"preferred":false,"id":718486,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70195367,"text":"70195367 - 2017 - Community tools for cartographic and photogrammetric processing of Mars Express HRSC images","interactions":[],"lastModifiedDate":"2018-03-13T17:19:41","indexId":"70195367","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"seriesTitle":{"id":5650,"text":"The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","onlineIssn":"2194-9034","printIssn":"1682-1750","active":true,"publicationSubtype":{"id":19}},"title":"Community tools for cartographic and photogrammetric processing of Mars Express HRSC images","docAbstract":"

The High Resolution Stereo Camera (HRSC) on the Mars Express orbiter (Neukum et al. 2004) is a multi-line pushbroom scanner that can obtain stereo and color coverage of targets in a single overpass, with pixel scales as small as 10 m at periapsis. Since commencing operations in 2004 it has imaged ~ 77 % of Mars at 20 m/pixel or better. The instrument team uses the Video Image Communication And Retrieval (VICAR) software to produce and archive a range of data products from uncalibrated and radiometrically calibrated images to controlled digital topographic models (DTMs) and orthoimages and regional mosaics of DTM and orthophoto data (Gwinner et al. 2009; 2010b; 2016). Alternatives to this highly effective standard processing pipeline are nevertheless of interest to researchers who do not have access to the full VICAR suite and may wish to make topographic products or perform other (e. g., spectrophotometric) analyses prior to the release of the highest level products. We have therefore developed software to ingest HRSC images and model their geometry in the USGS Integrated Software for Imagers and Spectrometers (ISIS3), which can be used for data preparation, geodetic control, and analysis, and the commercial photogrammetric software SOCET SET (® BAE Systems; Miller and Walker 1993; 1995) which can be used for independent production of DTMs and orthoimages. 

The initial implementation of this capability utilized the then-current ISIS2 system and the generic pushbroom sensor model of SOCET SET, and was described in the DTM comparison of independent photogrammetric processing by different elements of the HRSC team (Heipke et al. 2007). A major drawback of this prototype was that neither software system then allowed for pushbroom images in which the exposure time changes from line to line. Except at periapsis, HRSC makes such timing changes every few hundred lines to accommodate changes of altitude and velocity in its elliptical orbit. As a result, it was necessary to split observations into blocks of constant exposure time, greatly increasing the effort needed to control the images and collect DTMs. 

Here, we describe a substantially improved HRSC processing capability that incorporates sensor models with varying line timing in the current ISIS3 system (Sides 2017) and SOCET SET. This enormously reduces the work effort for processing most images and eliminates the artifacts that arose from segmenting them. In addition, the software takes advantage of the continuously evolving capabilities of ISIS3 and the improved image matching module NGATE (Next Generation Automatic Terrain Extraction, incorporating area and feature based algorithms, multi-image and multi-direction matching) of SOCET SET, thus greatly reducing the need for manual editing of DTM errors. We have also developed a procedure for geodetically controlling the images to Mars Orbiter Laser Altimeter (MOLA) data by registering a preliminary stereo topographic model to MOLA by using the point cloud alignment (pc_align) function of the NASA Ames Stereo Pipeline (ASP; Moratto et al. 2010). This effectively converts inter-image tiepoints into ground control points in the MOLA coordinate system. The result is improved absolute accuracy and a significant reduction in work effort relative to manual measurement of ground control. The ISIS and ASP software used are freely available; SOCET SET, is a commercial product. By the end of 2017 we expect to have ported our SOCET SET HRSC sensor model to the Community Sensor Model (CSM; Community Sensor Model Working Group 2010; Hare and Kirk 2017) standard utilized by the successor photogrammetric system SOCET GXP that is currently offered by BAE. In early 2018, we are also working with BAE to release the CSM source code under a BSD or MIT open source license. 

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings: 2017 international symposium on planetary remote sensing and mapping (Volume XLII-3/W1)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2017 International Symposium on Planetary Remote Sensing and Mapping","conferenceDate":"August 13-16, 2017","conferenceLocation":"Hong Kong","language":"English","publisher":"International Society for Photogrammetry and Remote Sensing","doi":"10.5194/isprs-archives-XLII-3-W1-69-2017","usgsCitation":"Kirk, R.L., Howington-Kraus, E., Edmundson, K., Redding, B.L., Galuszka, D.M., Hare, T.M., and Gwinner, K., 2017, Community tools for cartographic and photogrammetric processing of Mars Express HRSC images, in Proceedings: 2017 international symposium on planetary remote sensing and mapping (Volume XLII-3/W1), v. XLII-3/W1, Hong Kong, August 13-16, 2017, p. 69-76, https://doi.org/10.5194/isprs-archives-XLII-3-W1-69-2017.","productDescription":"8 p.","startPage":"69","endPage":"76","ipdsId":"IP-088472","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":461329,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/isprs-archives-xlii-3-w1-69-2017","text":"Publisher Index Page"},{"id":351461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"XLII-3/W1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-25","publicationStatus":"PW","scienceBaseUri":"5afee7aae4b0da30c1bfc341","contributors":{"editors":[{"text":"Wu, B.","contributorId":23362,"corporation":false,"usgs":true,"family":"Wu","given":"B.","email":"","affiliations":[],"preferred":false,"id":730979,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Di, K.","contributorId":61936,"corporation":false,"usgs":true,"family":"Di","given":"K.","email":"","affiliations":[],"preferred":false,"id":730980,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Oberst, J.","contributorId":103427,"corporation":false,"usgs":true,"family":"Oberst","given":"J.","email":"","affiliations":[],"preferred":false,"id":730981,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Karachevtseva, I.","contributorId":147166,"corporation":false,"usgs":false,"family":"Karachevtseva","given":"I.","email":"","affiliations":[],"preferred":false,"id":730982,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":728232,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Howington-Kraus, Elpitha 0000-0001-5787-6554 ahowington@usgs.gov","orcid":"https://orcid.org/0000-0001-5787-6554","contributorId":2815,"corporation":false,"usgs":true,"family":"Howington-Kraus","given":"Elpitha","email":"ahowington@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":728233,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edmundson, Kenneth L. kedmundson@usgs.gov","contributorId":4725,"corporation":false,"usgs":true,"family":"Edmundson","given":"Kenneth L.","email":"kedmundson@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":728234,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Redding, Bonnie L. 0000-0001-8178-1467 bredding@usgs.gov","orcid":"https://orcid.org/0000-0001-8178-1467","contributorId":4798,"corporation":false,"usgs":true,"family":"Redding","given":"Bonnie","email":"bredding@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":728235,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Galuszka, Donna M. 0000-0003-1870-1182 dgaluszka@usgs.gov","orcid":"https://orcid.org/0000-0003-1870-1182","contributorId":3186,"corporation":false,"usgs":true,"family":"Galuszka","given":"Donna","email":"dgaluszka@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":728236,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hare, Trent M. 0000-0001-8842-389X thare@usgs.gov","orcid":"https://orcid.org/0000-0001-8842-389X","contributorId":3188,"corporation":false,"usgs":true,"family":"Hare","given":"Trent","email":"thare@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":728237,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gwinner, K.","contributorId":83737,"corporation":false,"usgs":true,"family":"Gwinner","given":"K.","affiliations":[],"preferred":false,"id":728238,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70192853,"text":"70192853 - 2017 - Radiometric characterization of Landsat Collection 1 products","interactions":[],"lastModifiedDate":"2017-12-20T11:00:05","indexId":"70192853","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Radiometric characterization of Landsat Collection 1 products","docAbstract":"

Landsat data in the U.S. Geological Survey (USGS) archive are being reprocessed to generate a tiered collection of consistently geolocated and radiometrically calibrated products that are suitable for time series analyses. With the implementation of the collection management, no major updates will be made to calibration of the Landsat sensors within a collection. Only calibration parameters needed to maintain the established calibration trends without an effect on derived environmental records will be regularly updated, while all other changes will be deferred to a new collection. This first collection, Collection 1, incorporates various radiometric calibration updates to all Landsat sensors including absolute and relative gains for Landsat 8 Operational Land Imager (OLI), stray light correction for Landsat 8 Thermal Infrared Sensor (TIRS), absolute gains for Landsat 4 and 5 Thematic Mappers (TM), recalibration of Landsat 1-5 Multispectral Scanners (MSS) to ensure radiometric consistency among different formats of archived MSS data, and a transfer of Landsat 8 OLI reflectance based calibration to all previous Landsat sensors. While all OLI/TIRS, ETM+ and majority of TM data have already been reprocessed to Collection 1, a completion of MSS and remaining TM data reprocessing is expected by the end of this year. It is important to note that, although still available for download from the USGS web pages, the products generated using the Pre-Collection processing do not benefit from the latest radiometric calibration updates. In this paper, we are assessing radiometry of solar reflective bands in Landsat Collection 1 products through analysis of trends in on-board calibrator and pseudo invariant site (PICS) responses.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings Volume 10402, Earth Observing Systems XXII","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Society of Photo-Optical Instrumentation Engineers","doi":"10.1117/12.2276065","usgsCitation":"Micijevic, E., Haque, O., and Mishra, N., 2017, Radiometric characterization of Landsat Collection 1 products, in Proceedings Volume 10402, Earth Observing Systems XXII, v. 10402, 8 p., https://doi.org/10.1117/12.2276065.","productDescription":"8 p.","ipdsId":"IP-090400","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":350128,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10402","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60faf9e4b06e28e9c22a59","contributors":{"authors":[{"text":"Micijevic, Esad 0000-0002-3828-9239 emicijevic@usgs.gov","orcid":"https://orcid.org/0000-0002-3828-9239","contributorId":3075,"corporation":false,"usgs":true,"family":"Micijevic","given":"Esad","email":"emicijevic@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":717214,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haque, Obaidul 0000-0002-0914-1446 ohaque@usgs.gov","orcid":"https://orcid.org/0000-0002-0914-1446","contributorId":4691,"corporation":false,"usgs":true,"family":"Haque","given":"Obaidul","email":"ohaque@usgs.gov","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":true,"id":717215,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mishra, Nischal nischal.mishra.ctr@usgs.gov","contributorId":198842,"corporation":false,"usgs":true,"family":"Mishra","given":"Nischal","email":"nischal.mishra.ctr@usgs.gov","affiliations":[],"preferred":false,"id":717216,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193631,"text":"70193631 - 2017 - Genetic structure of muskellunge in the Great Lakes region and the effects of supplementation on genetic integrity of wild populations","interactions":[],"lastModifiedDate":"2018-01-26T15:54:17","indexId":"70193631","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Genetic structure of muskellunge in the Great Lakes region and the effects of supplementation on genetic integrity of wild populations","docAbstract":"

Muskellunge (Esox masquinongy) are important apex predators that support numerous recreational fisheries throughout the Great Lakes region. Declines in muskellunge abundance from historical overharvest and environmental degradation have threatened the viability of many populations and prompted significant restoration efforts that often include stocking. The goal of our study was to investigate contemporary population structure and genetic diversity in 42 populations of muskellunge sampled across the Great Lakes region to inform future management and supplementation practices. We genotyped 1896 muskellunge (N = 10–123/population) at 13 microsatellite loci. The greatest genetic variation was between populations of Great Lakes origin and populations of Northern (inland) origin, with both groups also exhibiting significant substructure (overall FST = 0.23). Genetic structure was generally correlated with geography; however, we only found marginal evidence of isolation by distance, likely due to high genetic differentiation among proximate populations. Measures of genetic diversity were moderate across most populations, but some populations displayed low diversity consistent with small population sizes or historical bottlenecks. Many of the populations studied displayed evidence of historic introductions and supplemental stocking, including the presence of individuals with primarily non-native ancestry as well as interlineage hybrids. Our results suggest that the historic population structure of muskellunge is largely intact across the Great Lakes region, but also that stocking practices have altered this structure to some degree. We suggest that future supplementation practices use local sources where possible, and incorporate genetic tools including broodstock screening to ensure that non-native muskellunge are not used to supplement wild populations.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2017.09.005","usgsCitation":"Turnquist, K.N., Larson, W., Farrell, J.M., Hanchin, P., Kapuscinski, K.L., Miller, L.M., Scribner, K.T., Wilson, C.C., and Sloss, B.L., 2017, Genetic structure of muskellunge in the Great Lakes region and the effects of supplementation on genetic integrity of wild populations: Journal of Great Lakes Research, v. 43, no. 6, p. 1141-1152, https://doi.org/10.1016/j.jglr.2017.09.005.","productDescription":"12 p.","startPage":"1141","endPage":"1152","ipdsId":"IP-079938","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":350716,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Lakes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.4384765625,\n 41.45919537950706\n ],\n [\n -73.47656249999999,\n 41.45919537950706\n ],\n [\n -73.47656249999999,\n 48.93693495409401\n ],\n [\n -94.4384765625,\n 48.93693495409401\n ],\n [\n -94.4384765625,\n 41.45919537950706\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"43","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6c4c92e4b06e28e9cabaf6","contributors":{"authors":[{"text":"Turnquist, Keith N.","contributorId":139517,"corporation":false,"usgs":false,"family":"Turnquist","given":"Keith","email":"","middleInitial":"N.","affiliations":[{"id":12787,"text":"Molecular Conservation Genetics Laboratory, University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":725994,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, Wesley 0000-0003-4473-3401 wlarson@usgs.gov","orcid":"https://orcid.org/0000-0003-4473-3401","contributorId":199509,"corporation":false,"usgs":true,"family":"Larson","given":"Wesley","email":"wlarson@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719683,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farrell, John M.","contributorId":12368,"corporation":false,"usgs":true,"family":"Farrell","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":725995,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hanchin, P.A.","contributorId":56484,"corporation":false,"usgs":true,"family":"Hanchin","given":"P.A.","email":"","affiliations":[],"preferred":false,"id":725996,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kapuscinski, Kevin L.","contributorId":172506,"corporation":false,"usgs":false,"family":"Kapuscinski","given":"Kevin","email":"","middleInitial":"L.","affiliations":[{"id":27059,"text":"State University of New York, College of Environmental Science and Forestry, Department of Environmental and Forest Biology, 304 Illick Hall, 1 Forestry Drive, Syracuse, NY 13210, USA","active":true,"usgs":false}],"preferred":false,"id":725997,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, Loren M.","contributorId":172059,"corporation":false,"usgs":false,"family":"Miller","given":"Loren","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":725998,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Scribner, Kim T.","contributorId":146113,"corporation":false,"usgs":false,"family":"Scribner","given":"Kim","email":"","middleInitial":"T.","affiliations":[{"id":16582,"text":"Department of Fisheries and Wildlife and Department of Zoology, 480 Wilson Rd. 13 Natural Resources Building, Michigan State University, East Lansing, MI 48824","active":true,"usgs":false},{"id":135,"text":"Biological Resources Division","active":false,"usgs":true}],"preferred":false,"id":725999,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wilson, Chris C.","contributorId":149385,"corporation":false,"usgs":false,"family":"Wilson","given":"Chris","email":"","middleInitial":"C.","affiliations":[{"id":17723,"text":"3Aquatic Research Section, Ontario Ministry of Natural Resources, Trent University","active":true,"usgs":false}],"preferred":false,"id":726000,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sloss, Brian L. bsloss@usgs.gov","contributorId":702,"corporation":false,"usgs":true,"family":"Sloss","given":"Brian","email":"bsloss@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":726001,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70192105,"text":"70192105 - 2017 - Connecting the Soda–Avawatz and Bristol–Granite Mountains faults with gravity andaeromagnetic data, Mojave Desert, California","interactions":[],"lastModifiedDate":"2017-12-15T13:15:56","indexId":"70192105","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Connecting the Soda–Avawatz and Bristol–Granite Mountains faults with gravity andaeromagnetic data, Mojave Desert, California","docAbstract":"

The Soda–Avawatz and Bristol–Granite Mountains faults are considered by some to form the northeastern margin of the eastern California shear zone yet their connectivity and extents are obscured by surficial deposits and the estimates of total right-lateral offset from geologic data range from 0 to as much as 24 km. We use gravity and recently released detailed aeromagnetic data to map strands of these faults, examine structure within the fault zones and provide estimates of right-lateral offset. Gradients in gravity and aeromagnetic data define physical property contrasts that coincide with mapped strands of the faults and allow for extension of these faults, where concealed, to indicate continuity between the Soda–Avawatz and Bristol–Granite Mountains faults. Gravity data reveal local tectonic basins west of Silver Lake, beneath Soda Lake, and southwest of the Marble Mountains that are approximately 9–15 km long, 3–5 km wide, and 1–1.5 km deep. The basins are located where the local fault traces strike more northerly than the overall fault zone strike, suggesting that these basins are transtensional (pull-apart). If the lengths of these basins can be used as a proxy for rightlateral offset, the Soda–Avawatz and Bristol–Granite Mountains faults may have up to 9–15 km of post-early Miocene offset, consistent with our offset estimates from correlative magnetic anomalies across the fault zone.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"ECSZ does it: Revisiting the Eastern California Shear Zone 2017 Desert Symposium Field Guide and Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2017 Desert Symposium","language":"English","publisher":"California State University Desert Studies Center","usgsCitation":"Langenheim, V., and Miller, D., 2017, Connecting the Soda–Avawatz and Bristol–Granite Mountains faults with gravity andaeromagnetic data, Mojave Desert, California, in ECSZ does it: Revisiting the Eastern California Shear Zone 2017 Desert Symposium Field Guide and Proceedings, p. 83-92.","productDescription":"10 p.","startPage":"83","endPage":"92","ipdsId":"IP-083724","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":350038,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347024,"type":{"id":15,"text":"Index Page"},"url":"https://nsm.fullerton.edu/dsc/desert-studies-center-additional-information"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.5,\n 34.5\n ],\n [\n -116.25,\n 34.5\n ],\n [\n -116.25,\n 35.5\n ],\n [\n -115.5,\n 35.5\n ],\n [\n -115.5,\n 34.5\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60faf9e4b06e28e9c22a5e","contributors":{"authors":[{"text":"Langenheim, Victoria E. 0000-0003-2170-5213 zulanger@usgs.gov","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":151042,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria E.","email":"zulanger@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":714249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":140769,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":714250,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70194345,"text":"70194345 - 2017 - Spatial data analytics on heterogeneous multi- and many-core parallel architectures using python","interactions":[],"lastModifiedDate":"2017-12-19T10:40:15","indexId":"70194345","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Spatial data analytics on heterogeneous multi- and many-core parallel architectures using python","docAbstract":"Parallel vector spatial analysis concerns the application of parallel computational methods to facilitate vector-based spatial analysis. The history of parallel computation in spatial analysis is reviewed, and this work is placed into the broader context of high-performance computing (HPC) and parallelization research. The rise of cyber infrastructure and its manifestation in spatial analysis as CyberGIScience is seen as a main driver of renewed interest in parallel computation in the spatial sciences. Key problems in spatial analysis that have been the focus of parallel computing are covered. Chief among these are spatial optimization problems, computational geometric problems including polygonization and spatial contiguity detection, the use of Monte Carlo Markov chain simulation in spatial statistics, and parallel implementations of spatial econometric methods. Future directions for research on parallelization in computational spatial analysis are outlined.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of GIS","language":"English","publisher":"Springer","doi":"10.1007/978-3-319-17885-1_1569","usgsCitation":"Laura, J.R., and Rey, S.J., 2017, Spatial data analytics on heterogeneous multi- and many-core parallel architectures using python, chap. of Encyclopedia of GIS, https://doi.org/10.1007/978-3-319-17885-1_1569.","ipdsId":"IP-077310","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":350069,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-12","publicationStatus":"PW","scienceBaseUri":"5a60faf8e4b06e28e9c22a40","contributors":{"authors":[{"text":"Laura, Jason R. 0000-0002-1377-8159 jlaura@usgs.gov","orcid":"https://orcid.org/0000-0002-1377-8159","contributorId":5603,"corporation":false,"usgs":true,"family":"Laura","given":"Jason","email":"jlaura@usgs.gov","middleInitial":"R.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":723385,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rey, Sergio J.","contributorId":200615,"corporation":false,"usgs":false,"family":"Rey","given":"Sergio","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":723386,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70193912,"text":"70193912 - 2017 - Geochemical and mineralogical characterization of the Eagle Ford Shale: Results from the USGS Gulf Coast #1 West Woodway core","interactions":[],"lastModifiedDate":"2017-12-18T12:28:19","indexId":"70193912","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1871,"text":"Gulf Coast Association of Geological Societies Transactions","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical and mineralogical characterization of the Eagle Ford Shale: Results from the USGS Gulf Coast #1 West Woodway core","docAbstract":"

The Eagle Ford shale is a major continuous oil and gas resource play in southcentral Texas and a source for other oil accumulations in the East Texas Basin. As part of the U.S. Geological Survey’s (USGS) petroleum system assessment and research efforts, a coring program to obtain several immature, shallow cores from near the outcrop belt in central Texas has been undertaken. The first of these cores, USGS Gulf Coast #1 West Woodway, was collected near Waco, Texas, in September 2015 and has undergone extensive geochemical and mineralogical characterization using routine methods to ascertain variations in the lithologies and chemofacies present in the Eagle Ford at this locale. Approximately 270 ft of core was examined for this study, focusing on the Eagle Ford Group interval between the overlying Austin Chalk and underlying Buda Limestone (~20 ft of each). Based on previous work to identify the stratigraphy of the Eagle Ford Group in the Waco area and elsewhere (Liro et al., 1994; Robison, 1997; Ratcliffe et al., 2012; Boling and Dworkin, 2015; Fairbanks et al., 2016, and references therein), several lithological units were expected to be present, including the Pepper Shale (or Woodbine), the Lake Waco Formation (or Lower Eagle Ford, including the Bluebonnet, Cloice, and Bouldin or Flaggy Cloice members), and the South Bosque Member (Upper Eagle Ford). The results presented here indicate that there are three major chemofacies present in the cored interval, which are generally consistent with previous descriptions of the Eagle Ford Group in this area. The relatively high-resolution sampling (every two ft above the Buda, 432.8 ft depth, and below the Austin Chalk, 163.5 ft depth) provides great detail in terms of geochemical and mineralogical properties supplementing previous work on immature Eagle Ford Shale near the outcrop belt.

","language":"English","publisher":"Gulf Coast Association of Geological Societies Transactions","usgsCitation":"Birdwell, J.E., Boehlke, A., Paxton, S.T., Whidden, K.J., and Pearson, O.N., 2017, Geochemical and mineralogical characterization of the Eagle Ford Shale: Results from the USGS Gulf Coast #1 West Woodway core: Gulf Coast Association of Geological Societies Transactions, v. 67, p. 391-395.","productDescription":"5 p.","startPage":"391","endPage":"395","ipdsId":"IP-090525","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":350073,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"67","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60faf8e4b06e28e9c22a48","contributors":{"authors":[{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":721454,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boehlke, Adam 0000-0003-4980-431X aboehlke@usgs.gov","orcid":"https://orcid.org/0000-0003-4980-431X","contributorId":3470,"corporation":false,"usgs":true,"family":"Boehlke","given":"Adam","email":"aboehlke@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":721455,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paxton, Stanley T. 0000-0002-9098-1740 spaxton@usgs.gov","orcid":"https://orcid.org/0000-0002-9098-1740","contributorId":739,"corporation":false,"usgs":true,"family":"Paxton","given":"Stanley","email":"spaxton@usgs.gov","middleInitial":"T.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":721456,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whidden, Katherine J. 0000-0002-7841-2553 kwhidden@usgs.gov","orcid":"https://orcid.org/0000-0002-7841-2553","contributorId":3960,"corporation":false,"usgs":true,"family":"Whidden","given":"Katherine","email":"kwhidden@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":721457,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pearson, Ofori N. 0000-0002-9550-1128 opearson@usgs.gov","orcid":"https://orcid.org/0000-0002-9550-1128","contributorId":1680,"corporation":false,"usgs":true,"family":"Pearson","given":"Ofori","email":"opearson@usgs.gov","middleInitial":"N.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":721458,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70193911,"text":"70193911 - 2017 - Estimating thermal maturity in the Eagle Ford Shale petroleum system using gas gravity data","interactions":[],"lastModifiedDate":"2019-06-03T13:20:31","indexId":"70193911","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1871,"text":"Gulf Coast Association of Geological Societies Transactions","active":true,"publicationSubtype":{"id":10}},"title":"Estimating thermal maturity in the Eagle Ford Shale petroleum system using gas gravity data","docAbstract":"

Basin-wide datasets that provide information on the geochemical properties of petroleum systems, such as source rock quality, product composition, and thermal maturity, are often difficult to come by or assemble from publicly available data. When published studies are available and include these kinds of properties, they generally have few sampling locations and limited numbers and types of analyses. Therefore, production-related data and engineering parameters can provide useful proxies for geochemical properties that are often widely available across a play and in some states are reported in publicly available or commercial databases. Gas-oil ratios (GOR) can be calculated from instantaneous or cumulative production data and can be related to the source rock geochemical properties like kerogen type (Lewan and Henry, 1999) and thermal maturity (Tian et al., 2013; U.S. Energy Information Administration [EIA], 2014). Oil density or specific gravity (SG), often reported in American Petroleum Institute units (°API = 141.5 /SG – 131.5), can also provide information on source rock thermal maturity, particularly when combined with GOR values in unconventional petroleum systems (Nesheim, 2017).

","language":"English","publisher":"Gulf Coast Association of Geological Societies","usgsCitation":"Birdwell, J.E., and Kinney, S.A., 2017, Estimating thermal maturity in the Eagle Ford Shale petroleum system using gas gravity data: Gulf Coast Association of Geological Societies Transactions, v. 67, p. 397-403.","productDescription":"7 p.","startPage":"397","endPage":"403","ipdsId":"IP-090524","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":350072,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"67","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60faf9e4b06e28e9c22a4b","contributors":{"authors":[{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":721451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinney, Scott A. 0000-0001-5008-5813 skinney@usgs.gov","orcid":"https://orcid.org/0000-0001-5008-5813","contributorId":1395,"corporation":false,"usgs":true,"family":"Kinney","given":"Scott","email":"skinney@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":721452,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70194693,"text":"70194693 - 2017 - Methane- and dissolved organic carbon-fueled microbial loop supports a tropical subterranean estuary ecosystem","interactions":[],"lastModifiedDate":"2017-12-12T10:48:28","indexId":"70194693","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Methane- and dissolved organic carbon-fueled microbial loop supports a tropical subterranean estuary ecosystem","docAbstract":"

Subterranean estuaries extend inland into density-stratified coastal carbonate aquifers containing a surprising diversity of endemic animals (mostly crustaceans) within a highly oligotrophic habitat. How complex ecosystems (termed anchialine) thrive in this globally distributed, cryptic environment is poorly understood. Here, we demonstrate that a microbial loop shuttles methane and dissolved organic carbon (DOC) to higher trophic levels of the anchialine food web in the Yucatan Peninsula (Mexico). Methane and DOC production and consumption within the coastal groundwater correspond with a microbial community capable of methanotrophy, heterotrophy, and chemoautotrophy, based on characterization by 16S rRNA gene amplicon sequencing and respiratory quinone composition. Fatty acid and bulk stable carbon isotope values of cave-adapted shrimp suggest that carbon from methanotrophic bacteria comprises 21% of their diet, on average. These findings reveal a heretofore unrecognized subterranean methane sink and contribute to our understanding of the carbon cycle and ecosystem function of karst subterranean estuaries.

","language":"English","publisher":"Nature","doi":"10.1038/s41467-017-01776-x","usgsCitation":"Brankovits, D., Pohlman, J.W., Niemann, H., Leigh, M., Leewis, M., Becker, K.W., Iliffe, T., F., A., Lehmann, M., and Phillips, B., 2017, Methane- and dissolved organic carbon-fueled microbial loop supports a tropical subterranean estuary ecosystem: Nature Communications, v. 8, p. 1-12, https://doi.org/10.1038/s41467-017-01776-x.","productDescription":"Article no. 1834; 12 p.","startPage":"1","endPage":"12","ipdsId":"IP-087943","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469287,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-017-01776-x","text":"Publisher Index Page"},{"id":349947,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","otherGeospatial":"Yucatan Peninsula","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.9345703125,\n 20.050771131126798\n ],\n [\n -86.7041015625,\n 20.050771131126798\n ],\n [\n -86.7041015625,\n 21.662533492414678\n ],\n [\n -87.9345703125,\n 21.662533492414678\n ],\n [\n -87.9345703125,\n 20.050771131126798\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-28","publicationStatus":"PW","scienceBaseUri":"5a60faf6e4b06e28e9c22a1e","contributors":{"authors":[{"text":"Brankovits, D.","contributorId":201284,"corporation":false,"usgs":false,"family":"Brankovits","given":"D.","affiliations":[],"preferred":false,"id":724891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pohlman, John W. 0000-0002-3563-4586 jpohlman@usgs.gov","orcid":"https://orcid.org/0000-0002-3563-4586","contributorId":145771,"corporation":false,"usgs":true,"family":"Pohlman","given":"John","email":"jpohlman@usgs.gov","middleInitial":"W.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":724890,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Niemann, H.","contributorId":201285,"corporation":false,"usgs":false,"family":"Niemann","given":"H.","email":"","affiliations":[],"preferred":false,"id":724892,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leigh, M.B.","contributorId":195971,"corporation":false,"usgs":false,"family":"Leigh","given":"M.B.","email":"","affiliations":[],"preferred":false,"id":724893,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Leewis, M.C.","contributorId":201286,"corporation":false,"usgs":false,"family":"Leewis","given":"M.C.","email":"","affiliations":[],"preferred":false,"id":724894,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Becker, K. W.","contributorId":201292,"corporation":false,"usgs":false,"family":"Becker","given":"K.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":724895,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Iliffe, T.M.","contributorId":201287,"corporation":false,"usgs":false,"family":"Iliffe","given":"T.M.","email":"","affiliations":[],"preferred":false,"id":724896,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"F., Alvarez.","contributorId":201288,"corporation":false,"usgs":false,"family":"F.","given":"Alvarez.","email":"","affiliations":[],"preferred":false,"id":724897,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lehmann, M.F.","contributorId":201289,"corporation":false,"usgs":false,"family":"Lehmann","given":"M.F.","email":"","affiliations":[],"preferred":false,"id":724898,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Phillips, B.","contributorId":201290,"corporation":false,"usgs":false,"family":"Phillips","given":"B.","email":"","affiliations":[],"preferred":false,"id":724899,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70194758,"text":"70194758 - 2017 - Forecasting consequences of changing sea ice availability for Pacific walruses","interactions":[],"lastModifiedDate":"2018-08-20T17:40:05","indexId":"70194758","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Forecasting consequences of changing sea ice availability for Pacific walruses","docAbstract":"

The accelerating rate of anthropogenic alteration and disturbance of environments has increased the need for forecasting effects of environmental change on fish and wildlife populations. Models linking projections of environmental change with behavioral responses and bioenergetic effects can provide a basis for these forecasts. There is particular interest in forecasting effects of projected reductions in sea ice availability on Pacific walruses (Odobenus rosmarus divergens). Declining extent of summer sea ice in the Chukchi Sea has caused Pacific walruses to increase use of coastal haulouts and decrease use of more productive offshore feeding areas. Such climate-induced changes in distribution and behavior could ultimately affect the status of the population. We developed behavioral models to relate changes in sea ice availability to adult female walrus movements and activity levels, and adapted previously developed bioenergetics models to relate those activity levels to energy requirements and the ability to meet those requirements. We then linked these models to general circulation model projections of future ice availability to forecast autumn body condition for female walruses during mid- and late-century time periods. Our results suggest that as sea ice becomes less available in the Chukchi Sea, female walruses will spend more time in the southwestern region of that sea, less time resting, and less time foraging. Median forecasted autumn body masses were 7–12% lower in future scenarios than during recent times, but posterior distributions broadly overlapped and median forecasted seasonal mass losses (15–34%) were comparable to seasonal mass losses routinely experienced by other pinnipeds. These seasonal reductions in body condition would be unlikely to result in demographic effects, but if walruses were unable to rebuild endogenous reserves while wintering in the Bering Sea, cumulative effects could have implications for reproduction and survival, ultimately affecting the status of the Pacific walrus population. Our approach provides a general framework for forecasting consequences of the broad range of environmental changes and anthropogenic disturbances that may affect bioenergetics through behavioral responses or changes in prey availability.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2014","usgsCitation":"Udevitz, M.S., Jay, C.V., Taylor, R.L., Fischbach, A., Beatty, W.S., and Noren, S.R., 2017, Forecasting consequences of changing sea ice availability for Pacific walruses: Ecosphere, v. 8, no. 11, e02014, https://doi.org/10.1002/ecs2.2014.","productDescription":"e02014","ipdsId":"IP-088005","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":469275,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2014","text":"Publisher Index Page"},{"id":438140,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7XG9Q2T","text":"USGS data release","linkHelpText":"Pacific Walrus Behavior Data and Associated Chukchi Sea Ice Observations and Projections for use with Bioenergetics Models to Forecast Walrus Body Condition"},{"id":350025,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Chukchi Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -189.1845703125,\n 65.56754970214311\n ],\n [\n -156.3134765625,\n 65.56754970214311\n ],\n [\n -156.3134765625,\n 74.17607298699065\n ],\n [\n -189.1845703125,\n 74.17607298699065\n ],\n [\n -189.1845703125,\n 65.56754970214311\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"11","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-29","publicationStatus":"PW","scienceBaseUri":"5a60faf6e4b06e28e9c22a12","contributors":{"authors":[{"text":"Udevitz, Mark S. 0000-0003-4659-138X mudevitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4659-138X","contributorId":3189,"corporation":false,"usgs":true,"family":"Udevitz","given":"Mark","email":"mudevitz@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":725121,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jay, Chadwick V. 0000-0002-9559-2189 cjay@usgs.gov","orcid":"https://orcid.org/0000-0002-9559-2189","contributorId":192736,"corporation":false,"usgs":true,"family":"Jay","given":"Chadwick","email":"cjay@usgs.gov","middleInitial":"V.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":725124,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, Rebecca L. 0000-0001-8459-7614 rebeccataylor@usgs.gov","orcid":"https://orcid.org/0000-0001-8459-7614","contributorId":5112,"corporation":false,"usgs":true,"family":"Taylor","given":"Rebecca","email":"rebeccataylor@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":725125,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fischbach, Anthony S. 0000-0002-6555-865X afischbach@usgs.gov","orcid":"https://orcid.org/0000-0002-6555-865X","contributorId":200780,"corporation":false,"usgs":true,"family":"Fischbach","given":"Anthony S.","email":"afischbach@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":725126,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beatty, William S. 0000-0003-0013-3113","orcid":"https://orcid.org/0000-0003-0013-3113","contributorId":146301,"corporation":false,"usgs":false,"family":"Beatty","given":"William","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":725122,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Noren, Shawn R.","contributorId":127697,"corporation":false,"usgs":false,"family":"Noren","given":"Shawn","email":"","middleInitial":"R.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":725123,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70197868,"text":"70197868 - 2017 - Foundations of translational ecology","interactions":[],"lastModifiedDate":"2018-06-22T14:55:15","indexId":"70197868","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Foundations of translational ecology","docAbstract":"

Ecologists who specialize in translational ecology (TE) seek to link ecological knowledge to decision making by integrating ecological science with the full complement of social dimensions that underlie today's complex environmental issues. TE is motivated by a search for outcomes that directly serve the needs of natural resource managers and decision makers. This objective distinguishes it from both basic and applied ecological research and, as a practice, it deliberately extends research beyond theory or opportunistic applications. TE is uniquely positioned to address complex issues through interdisciplinary team approaches and integrated scientist–practitioner partnerships. The creativity and context‐specific knowledge of resource managers, practitioners, and decision makers inform and enrich the scientific process and help shape use‐driven, actionable science. Moreover, addressing research questions that arise from on‐the‐ground management issues – as opposed to the top‐down or expert‐oriented perspectives of traditional science – can foster the high levels of trust and commitment that are critical for long‐term, sustained engagement between partners.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/fee.1733","usgsCitation":"Enquist, C.A., Jackson, S.T., Garfin, G.M., Davis, F.W., Gerber, L.R., Littell, J., Tank, J., Terando, A., Wall, T.U., Halpern, B.S., Morelli, T.L., Hiers, J.K., McNie, E., Stephenson, N.L., Williamson, M.A., Woodhouse, C.A., Yung, L., Brunson, M.W., Hall, K., Hallett, L.M., Lawson, D., Moritz, M.A., Nydick, K.R., Pairis, A., Ray, A.J., Regan, C.M., Safford, H.D., Schwartz, M.W., and Shaw, M.R., 2017, Foundations of translational ecology: Frontiers in Ecology and the Environment, v. 15, no. 10, p. 541-550, https://doi.org/10.1002/fee.1733.","productDescription":"10 p.","startPage":"541","endPage":"550","ipdsId":"IP-081941","costCenters":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"links":[{"id":461333,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/fee.1733","text":"Publisher Index Page"},{"id":355314,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e624e4b060350a15d255","contributors":{"authors":[{"text":"Enquist, Carolyn A. F.","contributorId":205825,"corporation":false,"usgs":true,"family":"Enquist","given":"Carolyn","email":"","middleInitial":"A. F.","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":738817,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jackson, Stephen T. 0000-0002-1487-4652 stjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-1487-4652","contributorId":344,"corporation":false,"usgs":true,"family":"Jackson","given":"Stephen","email":"stjackson@usgs.gov","middleInitial":"T.","affiliations":[{"id":560,"text":"South Central Climate Science Center","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":738820,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garfin, Gregg M.","contributorId":205905,"corporation":false,"usgs":false,"family":"Garfin","given":"Gregg","email":"","middleInitial":"M.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":738818,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Frank W.","contributorId":150406,"corporation":false,"usgs":false,"family":"Davis","given":"Frank","email":"","middleInitial":"W.","affiliations":[{"id":18015,"text":"Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":738819,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gerber, Leah R.","contributorId":147236,"corporation":false,"usgs":false,"family":"Gerber","given":"Leah","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":738872,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Littell, Jeremy S. 0000-0002-5302-8280","orcid":"https://orcid.org/0000-0002-5302-8280","contributorId":205907,"corporation":false,"usgs":true,"family":"Littell","given":"Jeremy","middleInitial":"S.","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":738821,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tank, Jennifer L.","contributorId":103870,"corporation":false,"usgs":true,"family":"Tank","given":"Jennifer L.","affiliations":[],"preferred":false,"id":738873,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Terando, Adam 0000-0002-9280-043X","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":205908,"corporation":false,"usgs":true,"family":"Terando","given":"Adam","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":738824,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wall, Tamara U.","contributorId":205938,"corporation":false,"usgs":false,"family":"Wall","given":"Tamara","email":"","middleInitial":"U.","affiliations":[],"preferred":false,"id":738874,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Halpern, Benjamin S.","contributorId":86649,"corporation":false,"usgs":true,"family":"Halpern","given":"Benjamin","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":738875,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hiers, J. Kevin","contributorId":173986,"corporation":false,"usgs":false,"family":"Hiers","given":"J.","email":"","middleInitial":"Kevin","affiliations":[{"id":27330,"text":"University of the South; Sewanee, TN","active":true,"usgs":false}],"preferred":false,"id":738876,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Morelli, Toni L. 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":189143,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":false,"id":738877,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"McNie, Elizabeth","contributorId":202841,"corporation":false,"usgs":false,"family":"McNie","given":"Elizabeth","email":"","affiliations":[],"preferred":false,"id":738878,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":738879,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Williamson, Matthew A.","contributorId":201232,"corporation":false,"usgs":false,"family":"Williamson","given":"Matthew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":738880,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Woodhouse, Connie A.","contributorId":187601,"corporation":false,"usgs":false,"family":"Woodhouse","given":"Connie","email":"","middleInitial":"A.","affiliations":[{"id":32413,"text":"University of Arizona, Tucson, AZ, USA, 85721","active":true,"usgs":false}],"preferred":false,"id":738881,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Yung, Laurie","contributorId":86647,"corporation":false,"usgs":true,"family":"Yung","given":"Laurie","affiliations":[],"preferred":false,"id":738882,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Brunson, Mark W.","contributorId":195697,"corporation":false,"usgs":false,"family":"Brunson","given":"Mark","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":738883,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Hall, Kimberly R.","contributorId":42476,"corporation":false,"usgs":true,"family":"Hall","given":"Kimberly R.","affiliations":[],"preferred":false,"id":738884,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Hallett, Lauren M.","contributorId":175310,"corporation":false,"usgs":false,"family":"Hallett","given":"Lauren","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":738885,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Lawson, Dawn M.","contributorId":205826,"corporation":false,"usgs":false,"family":"Lawson","given":"Dawn M.","affiliations":[{"id":36522,"text":"U.S. Navy","active":true,"usgs":false}],"preferred":false,"id":738886,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Moritz, Max A.","contributorId":182434,"corporation":false,"usgs":false,"family":"Moritz","given":"Max","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":738887,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Nydick, Koren R.","contributorId":196601,"corporation":false,"usgs":false,"family":"Nydick","given":"Koren","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":738888,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Pairis, Amber","contributorId":205939,"corporation":false,"usgs":false,"family":"Pairis","given":"Amber","email":"","affiliations":[],"preferred":false,"id":738889,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Ray, Andrea J.","contributorId":196935,"corporation":false,"usgs":false,"family":"Ray","given":"Andrea","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":738890,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Regan, Claudia M.","contributorId":147141,"corporation":false,"usgs":false,"family":"Regan","given":"Claudia","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":738891,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Safford, Hugh D.","contributorId":112922,"corporation":false,"usgs":true,"family":"Safford","given":"Hugh","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":738892,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Schwartz, Mark W.","contributorId":145938,"corporation":false,"usgs":false,"family":"Schwartz","given":"Mark","email":"","middleInitial":"W.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":738893,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Shaw, M. Rebecca","contributorId":175305,"corporation":false,"usgs":false,"family":"Shaw","given":"M.","email":"","middleInitial":"Rebecca","affiliations":[],"preferred":false,"id":738894,"contributorType":{"id":1,"text":"Authors"},"rank":29}]}} ,{"id":70194119,"text":"70194119 - 2017 - Food web conceptual model","interactions":[],"lastModifiedDate":"2017-12-15T13:29:05","indexId":"70194119","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":5573,"text":"Interagency Ecological Program Technical Report","active":true,"publicationSubtype":{"id":4}},"seriesNumber":"91","title":"Food web conceptual model","docAbstract":"

This chapter describes a general model of food webs within tidal wetlands and represents how physical features of the wetland affect the structure and function of the food web. This conceptual model focuses on how the food web provides support for (or may reduce support for) threatened fish species. This model is part of a suite of conceptual models designed to guide monitoring of restoration sites throughout the San Francisco Estuary (SFE), but particularly within the Sacramento-San Joaquin Delta (Delta) and Suisun Marsh. The conceptual models have been developed based on the Delta Regional Ecosystem Restoration Implementation Plan (DRERIP) models, and are designed to aid in the identification and evaluation of monitoring metrics for tidal wetland restoration projects.

Many tidal restoration sites in the Delta are being constructed to comply with environmental regulatory requirements associated with the operation of the Central Valley Project and State Water Project. These include the Biological Opinions for Delta Smelt (Hypomesus transpacificus) and salmonids (U.S. Fish and Wildlife Service 2008; National Marine Fisheries Service 2009), and the Incidental Take Permit for Longfin Smelt (Spirinchus thaleichthyes) (California Department of Fish and Wildlife 2009).

These regulatory requirements are based on the hypothesis that the decline of listed fish species is due in part to a decline in productivity of the food web (phytoplankton and zooplankton in particular) or alterations in the food web such that production is consumed by other species in the Estuary (Sommer et al. 2007; Baxter et al. 2010; Brown et al. 2016a). Intertidal wetlands and shallow subtidal habitat can be highly productive, so restoring areas of tidal wetlands may result in a net increase in productivity that will provide food web support for these fish species. However, other factors such as invasive bivalves that reduce phytoplankton and zooplankton biomass and invasive predatory fishes that may compete with or prey upon listed fishes can limit the utility of tidal wetlands for food web support (Lucas and Thompson 2012; Herbold et al. 2014).

This model utilizes information from the previous DRERIP models for Delta food webs (Durand 2008) and tidal wetlands (Kneib et al. 2008), an updated DRERIP model (Durand 2015), and the State of BayDelta Science 2016 review of recent Delta food web literature (Brown et al. 2016a).

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Effects of tidal wetland restoration on fish: A suite of conceptual models","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"California Department of Water Resources","usgsCitation":"Hartman, R., Brown, L.R., and Hobbs, J., 2017, Food web conceptual model: Interagency Ecological Program Technical Report 91, 38 p.","productDescription":"38 p.","startPage":"143","endPage":"180","ipdsId":"IP-082772","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":350040,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":348890,"type":{"id":11,"text":"Document"},"url":"https://www.water.ca.gov/iep/docs/tech_rpts/TR91.Wetland_CM_2Nov2017.pdf"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60faf8e4b06e28e9c22a45","contributors":{"authors":[{"text":"Hartman, Rosemary","contributorId":200388,"corporation":false,"usgs":false,"family":"Hartman","given":"Rosemary","email":"","affiliations":[],"preferred":false,"id":722155,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Larry R. 0000-0001-6702-4531 lrbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":1717,"corporation":false,"usgs":true,"family":"Brown","given":"Larry","email":"lrbrown@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":722154,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hobbs, Jim","contributorId":200389,"corporation":false,"usgs":false,"family":"Hobbs","given":"Jim","email":"","affiliations":[],"preferred":false,"id":722156,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}