The first eruption at Kīlauea’s summit in 25 years began on March 19, 2008, and persisted for 10 years. The onset of the eruption marked the first explosive activity at the summit since 1924, forming the new “Overlook crater” (as the 2008 summit eruption crater has been informally named) within the existing crater of Halemaʻumaʻu. The first year consisted of sporadic lava activity deep within the Overlook crater. Occasional small explosions deposited spatter and small wall-rock lithic pieces around the Halemaʻumaʻu rim. After a month-long pause at the end of 2008, deep sporadic lava lake activity returned in 2009. Continuous lava lake activity began in February 2010. The lake rose significantly in late 2010 and early 2011, before subsequently draining briefly in March 2011. This disruption of the summit eruption was triggered by eruptive activity on the East Rift Zone. Rising lake levels through 2012 established a more stable, larger lake in 2013, with continued enlargement over the subsequent 5 years. Lava reached the Overlook crater rim and overflowed on the Halemaʻumaʻu floor in brief episodes in 2015, 2016, and 2018, but the lake level was more commonly 20–60 meters below the rim during 2014–18. The lake was approximately 280×200 meters (~42,000 square meters) by early 2018 and formed one of the two largest lava lakes on Earth.
A new eruption began in the lower East Rift Zone on May 3, 2018, causing magma to drain from the summit reservoir complex. The lava in Halemaʻumaʻu had drained below the crater floor by May 10, followed by collapse of the Overlook and Halemaʻumaʻu craters. The collapse region expanded as much of the broader summit caldera floor subsided incrementally during June and July. By early August 2018, the collapse sequence had ended, and the summit was quiet. The historical changes in May–August 2018 brought a dramatic end to the decade of sustained activity at Kīlauea’s summit.
The unique accessibility of the 2008–18 lava lake provided new observations of lava lake behavior and open-vent basaltic outgassing. Data indicated that explosions were triggered by rockfalls from the crater walls, that the lake consisted of a low-density foamy lava, that cycles of gas pistoning were rooted at shallow depths in the lake, and that lake level fluctuations were closely tied to the pressure of the summit magma reservoir. Lava chemistry added further support for an efficient hydraulic connection between the summit and East Rift Zone. Notwithstanding the benefits to scientific understanding, the eruption presented a persistent hazard of volcanic air pollution (vog) that commonly extended far from Kīlauea’s summit.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1867A","usgsCitation":"Patrick, M., Orr, T., Swanson, D., Houghton, B., Wooten, K., Desmither, L., Parcheta, C., and Fee, D., 2021, Kīlauea’s 2008–2018 summit lava lake—Chronology and eruption insights, chap. A of Patrick, M., Orr, T., Swanson, D., and Houghton, B., eds., The 2008–2018 summit lava lake at Kīlauea Volcano, Hawai‘i: U.S. Geological Survey Professional Paper 1867, 50 p., https://doi.org/10.3133/pp1867A.","productDescription":"viii, 50 p.","numberOfPages":"50","onlineOnly":"N","ipdsId":"IP-109081","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":436595,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ULRPMM","text":"USGS data release","linkHelpText":"Elevation of the lava lake in Halemaʻumaʻu crater, Kīlauea Volcano, from 2009 to 2018"},{"id":436594,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ULRPMM","text":"USGS data release","linkHelpText":"Elevation of the lava lake in Halemaʻumaʻu crater, Kīlauea Volcano, from 2009 to 2018"},{"id":381957,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1867/a/covrthb.jpg"},{"id":381958,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1867/a/pp1867a.pdf","text":"Report","size":"32 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1867 Chapter A"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.32539367675778,\n 19.378522756179393\n ],\n [\n -155.21072387695312,\n 19.378522756179393\n ],\n [\n -155.21072387695312,\n 19.456233596018\n ],\n [\n -155.32539367675778,\n 19.456233596018\n ],\n [\n -155.32539367675778,\n 19.378522756179393\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Contact HVO
Hawaiian Volcano Observatory
U.S. Geological Survey
1266 Kamehameha Avenue
Suite A-8
Hilo, HI 96720
U-Pb dating of cassiterite and zircon from the Yazov granite (Transbaikalia region, Eastern Siberia, Russia) and cassiterite from spatially associated tin mineralization in the Tuyukan ore district in the Tonod uplift was conducted using in situ laser ablation inductively coupled plasma mass spectrometry. These analyses allow comparison of isotopic systematics for both minerals, especially related to transport in granitic magma. These data are also useful for understanding possible genetic links between the granite and the tin mineralization. Most of the U-Pb zircon analyses define a 206Pb/238U age of 719 ± 15 Ma for the granite; in addition, several zircon cores define an inheritance age of 1839 ± 21 Ma. U-Pb data for 10 nearly concordant analyses of disseminated cassiterite from the same samples yield a 206Pb/238U age of 1838 ± 34 Ma. This is the first documented evidence of cassiterite inheritance in granitic magma. These data indicate the robust character of U-Pb isotope systematics in cassiterite, comparable to that in zircon. The presence of numerous inclusions of cassiterite in zircon from the Yazov granite (revealed by nanotomography) supports the interpretation of inherited cassiterite included during Neoproterozoic zircon crystallization. The data indicate that high tin concentrations in the Yazov granite are due to the incorporation of older cassiterite crystals from country rock, not coeval cassiterite crystallization. Cassiterite samples from two ore occurrences spatially associated with the Yazov granite yield Pb-Pb isochron ages of 1.86–1.82 Ga, indicating that tin mineralization occurred in the Paleoproterozoic, nearly 1 Ga before emplacement of the Yazov granite. Tin mineralization of the ore region is probably related to ~ 1.85 Ga Chuya-Kodar tin-bearing granitic rocks that host tin deposits. These results have broad implications for understanding how critical elements, such as tin, may become enriched in rare-metal granites and how they are related to regional to global geodynamic processes.
","language":"English","publisher":"Springer","doi":"10.1007/s00126-020-01038-9","usgsCitation":"Neymark, L., Holm-Denoma, C.S., Larin, A., Moscati, R.J., and Plotkina, Y., 2021, LA-ICPMS U-Pb dating reveals cassiterite inheritance in the Yazov granite, Eastern Siberia: Implications for tin mineralization: Mineralium Deposita, v. 56, p. 1177-1194, https://doi.org/10.1007/s00126-020-01038-9.","productDescription":"18 p.","startPage":"1177","endPage":"1194","ipdsId":"IP-117908","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":436597,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97WPI1T","text":"USGS data release","linkHelpText":"U-Pb data for inherited cassiterite in "Tin Granites", an example from the Yazov Granite, Eastern Siberia"},{"id":436596,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97WPI1T","text":"USGS data release","linkHelpText":"U-Pb data for inherited cassiterite in "Tin Granites", an example from the Yazov Granite, Eastern Siberia"},{"id":382056,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia","state":"Siberia","otherGeospatial":"Baikal region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 104.4140625,\n 57.20771009775018\n ],\n [\n 120.2783203125,\n 57.20771009775018\n ],\n [\n 120.2783203125,\n 62.1655019058381\n ],\n [\n 104.4140625,\n 62.1655019058381\n ],\n [\n 104.4140625,\n 57.20771009775018\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"56","noUsgsAuthors":false,"publicationDate":"2021-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Neymark, Leonid A. 0000-0003-4190-0278 lneymark@usgs.gov","orcid":"https://orcid.org/0000-0003-4190-0278","contributorId":140338,"corporation":false,"usgs":true,"family":"Neymark","given":"Leonid A.","email":"lneymark@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":807885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holm-Denoma, Christopher S. 0000-0003-3229-5440 cholm-denoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3229-5440","contributorId":2442,"corporation":false,"usgs":true,"family":"Holm-Denoma","given":"Christopher","email":"cholm-denoma@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":807886,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larin, Anatoly","contributorId":247545,"corporation":false,"usgs":false,"family":"Larin","given":"Anatoly","affiliations":[{"id":49576,"text":"IPGG","active":true,"usgs":false}],"preferred":false,"id":807887,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moscati, Richard J. 0000-0002-0818-4401 rmoscati@usgs.gov","orcid":"https://orcid.org/0000-0002-0818-4401","contributorId":2462,"corporation":false,"usgs":true,"family":"Moscati","given":"Richard","email":"rmoscati@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":807888,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Plotkina, Yulia","contributorId":247546,"corporation":false,"usgs":false,"family":"Plotkina","given":"Yulia","email":"","affiliations":[{"id":49576,"text":"IPGG","active":true,"usgs":false}],"preferred":false,"id":807889,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70238836,"text":"70238836 - 2021 - Simulating water and heat transport with freezing and cryosuction in unsaturated soil: Comparing an empirical, semi-empirical and physically-based approach","interactions":[],"lastModifiedDate":"2022-12-14T15:25:50.400448","indexId":"70238836","displayToPublicDate":"2021-01-07T09:05:44","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":664,"text":"Advances in Water Resources","active":true,"publicationSubtype":{"id":10}},"title":"Simulating water and heat transport with freezing and cryosuction in unsaturated soil: Comparing an empirical, semi-empirical and physically-based approach","docAbstract":"Freezing of unsaturated soil is an important process that influences runoff and infiltration in cold-climate regions. We used a simple numerical model to simulate water and heat transport with phase change in unsaturated soil via three different approaches: empirical, semi-empirical and physically based. We compared the performance and parameterization of each approach through testing on three experimental datasets. All approaches reproduced the observed unsaturated freezing process satisfactorily. The empirical cryosuction equation used in this study managed to capture observed cryosuction with a fixed empirical parameter value. The semi-empirical version therefore does not require calibration of a specific frozen soil related parameter. In view of simplicity, small computational demand and accurate performance, all three approaches are suitable for implementation in land-use schemes, catchment scale hydrological models, or multi-dimensional thermo-hydrological models.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.advwatres.2021.103846","usgsCitation":"Stuurop, J.C., van der Zee, S.E., Voss, C., and French, H.K., 2021, Simulating water and heat transport with freezing and cryosuction in unsaturated soil: Comparing an empirical, semi-empirical and physically-based approach: Advances in Water Resources, v. 149, 103846, 16 p., https://doi.org/10.1016/j.advwatres.2021.103846.","productDescription":"103846, 16 p.","ipdsId":"IP-125325","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":453908,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.advwatres.2021.103846","text":"Publisher Index Page"},{"id":410474,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"149","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stuurop, Joris C","contributorId":299855,"corporation":false,"usgs":false,"family":"Stuurop","given":"Joris","email":"","middleInitial":"C","affiliations":[{"id":40295,"text":"Norwegian University of Life Sciences","active":true,"usgs":false}],"preferred":false,"id":858860,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van der Zee, Sjoerd E. A. T. M","contributorId":299856,"corporation":false,"usgs":false,"family":"van der Zee","given":"Sjoerd","email":"","middleInitial":"E. A. T. M","affiliations":[{"id":64966,"text":"Wageningen University, Monash University","active":true,"usgs":false}],"preferred":false,"id":858861,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Voss, Clifford I. 0000-0001-5923-2752","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":211844,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford I.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":858862,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"French, Helen K","contributorId":299857,"corporation":false,"usgs":false,"family":"French","given":"Helen","email":"","middleInitial":"K","affiliations":[{"id":40295,"text":"Norwegian University of Life Sciences","active":true,"usgs":false}],"preferred":false,"id":858863,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70217167,"text":"70217167 - 2021 - Coding-Complete Genome Sequence of Avian Orthoavulavirus 16, isolated from Emperor Goose (Anser canagica) feces, Alaska, USA","interactions":[],"lastModifiedDate":"2021-01-08T14:26:54.919518","indexId":"70217167","displayToPublicDate":"2021-01-07T07:44:49","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5813,"text":"Microbiology Resource Announcements","active":true,"publicationSubtype":{"id":10}},"title":"Coding-Complete Genome Sequence of Avian Orthoavulavirus 16, isolated from Emperor Goose (Anser canagica) feces, Alaska, USA","docAbstract":"We sequenced the coding-complete genome of an avian orthoavulavirus serotype 16 (AOAV-16) isolate recovered from emperor goose (Anser canagicus) feces collected in Alaska. The detection of AOAV-16 in North America and genomic sequencing of the resultant isolate confirms that the geographic distribution of this virus extends beyond Asia.
Microsatellites have been a staple of population genetics research for over three decades, and many large datasets have been generated with these markers. Microsatellites have been used, for example, to conduct genetic monitoring and construct large multigeneration pedigrees as well as genotype thousands of individuals from a given species to create high-resolution baselines of spatial genetic structure. However, the capillary electrophoresis (CE) approach used to genotype microsatellites is inefficient compared to newer genotyping-by-sequencing (GBS) approaches, and researchers have begun transitioning away from CE. Backward compatibility between GBS and CE would facilitate a seamless transition to a more efficient chemistry, while ensuring that research based on CE panels could continue. Here, we explore the feasibility of converting a legacy panel of 15 microsatellites developed for muskellunge (Esox masquinongy) from CE to GBS chemistry. Muskellunge are an important sportfish in the Great Lakes region, and the existing microsatellite panel has been used to genotype thousands of samples to develop a region-wide baseline of genetic structure. We successfully converted all 15 microsatellites to GBS chemistry. GBS produced high genotyping rates (98%) and had high concordance with CE microsatellite genotypes (99%). Conversion to GBS required redesign of some primers and pairs to shorten amplicon length and adjust melting temperatures, optimization of primer concentrations, and comparisons with CE genotypes to optimize GBS genotyping parameters; however, none of these steps were especially onerous. Our results demonstrate that it is highly feasible to convert legacy CE panels to GBS, ensuring seamless continuation of important, often long-term research.
","language":"English","publisher":"Springer","doi":"10.1007/s12686-020-01185-1","usgsCitation":"Gruenthal, K., and Larson, W., 2021, Efficient genotyping with backwards compatibility: Converting a legacy microsatellite panel for muskellunge (Esox masquinongy) to genotyping-by-sequencing chemistry: Conservation Genetics Resources, v. 13, p. 151-159, https://doi.org/10.1007/s12686-020-01185-1.","productDescription":"9 p.","startPage":"151","endPage":"159","ipdsId":"IP-122376","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481500,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","noUsgsAuthors":false,"publicationDate":"2021-01-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Gruenthal, Kristen","contributorId":349610,"corporation":false,"usgs":false,"family":"Gruenthal","given":"Kristen","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":925621,"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":925620,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70229708,"text":"70229708 - 2021 - Drivers of realized satellite tracking duration in marine turtles","interactions":[],"lastModifiedDate":"2022-03-17T13:30:26.92691","indexId":"70229708","displayToPublicDate":"2021-01-05T09:43:29","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Drivers of realized satellite tracking duration in marine turtles","docAbstract":"Background
Satellite tags have revolutionized our understanding of marine animal movements. However, tags may stop transmitting for many reasons and little research has rigorously examined tag failure. Using a long-term, large-scale, multi-species dataset, we evaluated factors influencing tracking duration of satellite tags to inform study design for future tracking studies.
Methods
We leveraged data on battery status transmitted with location data, recapture events, and number of transmission days to probabilistically quantify multiple potential causes of failure (i.e., battery failure, premature detachment, and tag damage/fouling). We used a combination of logistic regressions and an ordinary linear model including several predictor variables (i.e., tag type, battery life, species, sex, size, and foraging region).
Results
We examined subsets of data from 360 satellite tags encompassing 86,889 tracking days deployed on four species of marine turtles throughout the Gulf of Mexico, Caribbean, and Bahamas from 2008 to 2019. Only 4.1% of batteries died before failure due to other causes. We observed species-specific variation in how long tags remain attached: hawksbills retained 50% of their tags for 1649 days (95% CI 995–1800), loggerheads for 584 days (95% CI 400–690), and green turtles for 294 days (95% CI 198–450). Estimated tracking duration varied by foraging region (Caribbean: 385 days; Bahamas: 356; southern Gulf of Mexico [SGOM]: 276, northern Gulf of Mexico [NGOM]: 177). Additionally, we documented species-specific variation in estimated tracking duration among foraging regions. Based on sensor data, within the Gulf of Mexico, across species, we estimated that 50% of tags began to foul after 83 95% CI (70–120) days.
Conclusions
The main factor that limited tracking duration was tag damage (i.e., fouling and/or antenna breakage). Turtles that spent most of their time in the Gulf of Mexico had shorter tracking durations than those in the Bahamas and Caribbean, with shortest durations observed in the NGOM. Additionally, tracking duration varied by species, likely as a result of behaviors that damage tags. This information will help researchers, tag companies, permitting agencies, and funders better predict expected tracking durations, improving study designs for imperiled marine turtles. Our results highlight the heterogeneity in telemetry device longevity, and we provide a framework for researchers to evaluate telemetry devices with respect to their study objectives.
","language":"English","publisher":"Springer Nature","doi":"10.1186/s40462-020-00237-3","usgsCitation":"Hart, K., Guzy, J.C., and Smith, B., 2021, Drivers of realized satellite tracking duration in marine turtles: Movement Ecology, v. 9, 1, 14 p., https://doi.org/10.1186/s40462-020-00237-3.","productDescription":"1, 14 p.","ipdsId":"IP-121629","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":453933,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-020-00237-3","text":"Publisher Index Page"},{"id":436601,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OXCKYI","text":"USGS data release","linkHelpText":"Tracking durations for marine turtles satellite tagged in Gulf of Mexico and Caribbean sites, 2008-2019"},{"id":397153,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Bahamas, Brazil, Honduras, Mexico, Nicaragua, United States, Virgin Islands","state":"Alabama, Florida, Louisiana, Mississippi, Texas","otherGeospatial":"Biscayne, Buck Island Reef National Monument, Caribbean Sea, Chandeleur Islands, Dry Tortugas, Everglades National Park, Gulf of Mexico, Gulf Shores, Pascagoula, Port Fourchon, Ship Shoal","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.91015624999999,\n 26.194876675795218\n ],\n [\n -94.3505859375,\n 17.476432197195518\n ],\n [\n -91.40625,\n 17.853290114098012\n ],\n [\n -89.912109375,\n 20.34462694382967\n ],\n [\n -88.11035156249999,\n 20.3034175184893\n ],\n [\n -84.462890625,\n 14.477234210156519\n ],\n [\n -84.24316406249999,\n 12.039320557540572\n ],\n [\n -71.1474609375,\n 10.531020008464989\n ],\n [\n -67.7197265625,\n 9.579084335882534\n ],\n [\n -59.9853515625,\n 9.015302333420598\n ],\n [\n -57.74414062500001,\n 12.940322128384627\n ],\n [\n -59.45800781249999,\n 18.562947442888312\n ],\n [\n -67.8955078125,\n 19.72534224805787\n ],\n [\n -70.7080078125,\n 22.187404991398775\n ],\n [\n -74.5751953125,\n 23.725011735951796\n ],\n [\n -75.9814453125,\n 26.07652055985697\n ],\n [\n -79.89257812499999,\n 31.57853542647338\n ],\n [\n -80.8154296875,\n 31.50362930577303\n ],\n [\n -86.8798828125,\n 31.090574094954192\n ],\n [\n -90.04394531249999,\n 30.977609093348686\n ],\n [\n -93.4716796875,\n 30.56226095049944\n ],\n [\n -95.44921875,\n 30.107117887092357\n ],\n [\n -98.0859375,\n 27.761329874505233\n ],\n [\n -97.91015624999999,\n 26.194876675795218\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","noUsgsAuthors":false,"publicationDate":"2021-01-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":220333,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":838044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guzy, Jacquelyn C. 0000-0003-2648-398X","orcid":"https://orcid.org/0000-0003-2648-398X","contributorId":288520,"corporation":false,"usgs":true,"family":"Guzy","given":"Jacquelyn","email":"","middleInitial":"C.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":838045,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Brian J. 0000-0002-0531-0492","orcid":"https://orcid.org/0000-0002-0531-0492","contributorId":139672,"corporation":false,"usgs":false,"family":"Smith","given":"Brian J.","affiliations":[{"id":12876,"text":"Cherokee Nation Technology Solutions","active":true,"usgs":false}],"preferred":false,"id":838046,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70217906,"text":"70217906 - 2021 - Juvenile Chinook salmon survival, travel time, and floodplain use relative to riverine channels in the Sacramento–San Joaquin River Delta","interactions":[],"lastModifiedDate":"2021-02-10T14:09:25.550413","indexId":"70217906","displayToPublicDate":"2021-01-05T08:06:28","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Juvenile Chinook salmon survival, travel time, and floodplain use relative to riverine channels in the Sacramento–San Joaquin River Delta","docAbstract":"Floodplains provide multiple benefits to both resident and migratory fish species, including juvenile Chinook Salmon Oncorhynchus tshawytscha, but direct comparisons of survival during migration through a floodplain versus riverine routes are scarce. The Yolo Bypass is a broad floodplain of the Sacramento River that floods in about 30% of years in response to large, uncontrolled runoff events. We analyzed data from an acoustic telemetry study conducted in winter 2016 to estimate the proportion of tagged juvenile Chinook Salmon entrained from the Sacramento River into the Yolo Bypass and their spatial distribution within the Yolo Bypass. In addition, we compared survival and travel time of Chinook Salmon that migrated through the Yolo Bypass to those migrating via alternative non‐floodplain migration routes at varying stages of a flood event that activated the Yolo Bypass. We found that entrainment into the Yolo Bypass ranged from 1% to 80% among different release groups, with the highest entrainment coinciding with the peak of the March 2016 flooding event. Survival for Chinook Salmon migrating through the Yolo Bypass was similar to survival of those migrating through main‐stem migration routes. At the relatively high flows necessary to enable flooding of the Yolo Bypass, survival estimates varied little among release groups and migration routes. Furthermore, mean daily survival rates for Chinook Salmon migrating through the flooded Yolo Bypass were comparable to those of fish migrating through the other non‐floodplain routes. Median travel times remained relatively constant during various stages of flooding in the Yolo Bypass. This research should help managers to better understand the potential costs and benefits to floodplain restoration and routing of migrating Chinook Salmon into off‐channel habitat.
This manuscript describes a subset of CyberShake numerically simulated ground motions that were selected and vetted for use in engineering response-history analyses. Ground motions were selected that have seismological properties and response spectra representative of conditions in the Los Angeles area, based on disaggregation of seismic hazard. Ground motions were selected from millions of available time series and were reviewed to confirm their suitability for response-history analysis. The processes used to select the time series, the characteristics of the resulting data, and the provided documentation are described in this article. The resulting data and documentation are available electronically.
The establishment of Burmese pythons (Python bivittatus) in Everglades National Park, Florida, USA, has been connected to a > 90% decline in the mesomammal population in the park and is a major threat to native reptile and bird populations. Efforts to control this population are underway, but are hampered by a lack of information about fine-scale activity cycles and ecology of these cryptic animals in the wild. We aimed to establish a technique for monitoring the activity of Burmese pythons in the wild using acceleration data loggers (ADLs), while attempting to identify any behavioral patterns that could be used to help manage this invasive species in the Greater Everglades and South Florida.
","language":"English","publisher":"BioMed Central","doi":"10.1186/s40317-020-00227-7","usgsCitation":"Whitney, N.M., White, C.F., Smith, B., Cherkiss, M., Mazzotti, F., and Hart, K., 2021, Accelerometry to study fine-scale activity of invasive Burmese pythons (Python bivittatus) in the wild: Animal Biotelemetry, v. 9, 2, 13 p., https://doi.org/10.1186/s40317-020-00227-7.","productDescription":"2, 13 p.","ipdsId":"IP-105788","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":453945,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40317-020-00227-7","text":"Publisher Index Page"},{"id":436602,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P91MLPXJ","text":"USGS data release","linkHelpText":"Burmese python acceleration and location data, Everglades National Park, 2010 - 2012"},{"id":411714,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -81.69284128809062,\n 26.177272078608766\n ],\n [\n -81.69284128809062,\n 24.93892098136496\n ],\n [\n -80.11697244258342,\n 24.93892098136496\n ],\n [\n -80.11697244258342,\n 26.177272078608766\n ],\n [\n -81.69284128809062,\n 26.177272078608766\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"9","noUsgsAuthors":false,"publicationDate":"2021-01-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Whitney, Nicholas M.","contributorId":300723,"corporation":false,"usgs":false,"family":"Whitney","given":"Nicholas","email":"","middleInitial":"M.","affiliations":[{"id":37373,"text":"New England Aquarium","active":true,"usgs":false}],"preferred":false,"id":861291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Connor F.","contributorId":173554,"corporation":false,"usgs":false,"family":"White","given":"Connor","email":"","middleInitial":"F.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":861292,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Brian 0000-0002-0531-0492","orcid":"https://orcid.org/0000-0002-0531-0492","contributorId":214951,"corporation":false,"usgs":true,"family":"Smith","given":"Brian","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":861293,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cherkiss, Michael 0000-0002-7802-6791","orcid":"https://orcid.org/0000-0002-7802-6791","contributorId":222174,"corporation":false,"usgs":true,"family":"Cherkiss","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":861294,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mazzotti, Frank J.","contributorId":100018,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank J.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":861295,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":220333,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":861296,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70218684,"text":"70218684 - 2021 - Comparison of simple averaging and latent class modeling to estimate the area of land cover in the presence of reference data variability","interactions":[],"lastModifiedDate":"2021-03-05T14:07:30.426022","indexId":"70218684","displayToPublicDate":"2021-01-04T08:03:55","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2596,"text":"Land","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of simple averaging and latent class modeling to estimate the area of land cover in the presence of reference data variability","docAbstract":"Wildlife and human health are at risk of lead exposure from spent hunting ammunition. Lead exposure persists for bald eagles due to bullet fragments in game animal gut piles and unretrieved carcasses, and is also a human health risk when wild game is procured using lead ammunition. Programs encouraging the voluntary use of nonlead ammunition have become a popular approach mitigating these effects. This study explored attitudes and experiences of United States Fish and Wildlife Service (USFWS) staff implementing an outreach program encouraging deer hunters to voluntary use nonlead ammunition on 54 National Wildlife Refuges (NWRs) in the Upper Midwest, U.S. to understand factors affecting program implementation. We conducted 29 semi-structured interviews of USFWS staff along with 60 responses from an open-ended survey question. Twelve themes emerged from the data and were grouped into three broad categories: (1) challenges of dealing with complex issues, (2) importance of messengers and messages, and (3) resistance from staff. Challenges of dealing with complex issues included administrative restraint and uncertainty, scope and scale of program, human health not an agency responsibility, contextual political influences, and public-private collaborations. Importance of messengers and messages included the importance of experience, and salience of human health risk. Finally, resistance from staff included skepticism of the science and motives behind the program, competing priorities for refuge staff, differing perceptions of regulatory and voluntary approaches, cost and availability of nonlead ammunition, and disregard by some about lead ammunition and human health risks. Staff identified numerous challenges implementing the program, many of which were external factors beyond the control of the participants. Understanding the factors affecting program implementation may help guide future efforts encouraging the voluntary use of nonlead ammunition.
Shrublands occupy about 13% of the global land surface, contain about one-third of the biodiversity, store about half of the global terrestrial carbon, and provide many ecosystem services to a large amount of world's human population and livestock. Because phenology is a sensitive indicator of the response of shrubland ecosystems to climate change, the alteration of ecosystems following species invasions, and the dynamics of shrubland ecosystem function, biodiversity, and carbon budgets, it is critical to monitor and assess phenological dynamics in shrubland ecosystems. However, most current land surface phenology (LSP) products derived from satellite data do not provide phenology detections in some semiarid shrublands where the amplitude of seasonal vegetation greenness is small. Therefore, we investigated the LSP detection using multiple spatial resolution satellite data and examined the impacts of spatial scales and shrubland ecosystem components (shrub and herb cover) on LSP detections over the western United States. Specifically, greenup onset date (GUD) in shrublands was detected from 30 m Harmonized Landsat and Sentinel-2 (HLS) data and 500 m Visible Infrared Imaging Radiometer Suite (VIIRS) data to quantify scale effects. The GUD spatial patterns were explored with 30 m pixel variations in shrubland ecosystem components. The results show that GUD values varied with percent vegetation cover and shifted to earlier dates with increasing vegetation cover, demonstrating that satellite observations were not able to capture greenup onset until a threshold of green vegetation cover is reached. GUD was mostly undetectable from both HLS and VIIRS pixels with vegetation cover less than 10% and became fully detectable with vegetation covers larger than 50%. Similarly, the differences of GUD between HLS and VIIRS detections also decreased with increased vegetation cover. As a result of high shrubland heterogeneity, GUD from 30 m HLS pixels could be partially detected within a 500 m pixel despite GUD being undetectable from VIIRS time series. Moreover, vegetation cover heterogeneity also made it difficult for GUD at 30 m to be aggregated to coarse scales (such as to 500 m VIIRS pixels). These findings have significant implications to the detection and characterization of shrubland LSP responses to environmental and climate changes.
Globally, evaluation of population trends is the most pressing research need for many species of conservation concern. Road counts for birds of prey are useful for monitoring long‐term population trends and examining year‐to‐year variations in abundance. We examined data from 2155 road surveys conducted from 2001 to 2018 by community scientists who recorded > 85 000 individuals of 14 species of raptors while participating in the Pennsylvania Winter Raptor Survey, in Pennsylvania, USA. We estimated abundance and population growth rates while accounting for observation error by using dynamic Bayesian state‐space models. Model estimates indicated that counts of wintering Bald Eagles Haliaeetus leucocephalus, Red‐shouldered Hawks Buteo lineatus and Black Vulture Coragyps atratus increased over the course of the study. Counts of Rough‐legged Buzzard Buteo lagopus, Red‐tailed Hawk Buteo jamaicensis, Northern Harrier Circus hudsonius, Turkey Vulture Cathartes aura and American Kestrel Falco sparverius varied more (CV > 5.0) over the duration of the study than other species did. Higher winter temperatures were associated with increases in counts of species whose local populations are partially migratory (American Kestrel and Red‐tailed Hawk), and with lower counts of a long‐distance arctic migrant – Rough‐legged Buzzard. Counts of these species were therefore correlated such that more American Kestrels and Red‐tailed Hawks were counted during years when Rough‐legged Buzzards were less frequently seen. Generally, the number of individuals counted declined as survey speed increased. A general rule for road counts therefore seems to be ‘slower is better’, consistent with past recommendations that observers travel at a speed < 40 km/h during road counts. Our study highlights the utility of road surveys and advances analytical approaches to monitor raptors.
Although the round goby Neogobius melanostomus has become established throughout the Laurentian Great Lakes, a multi-model inference (MMI) approach toward characterizing round goby growth in the Laurentian Great Lakes has yet to applied using otolith-derived data. Further, spatial variation in round goby growth among lakes has yet to be investigated. For each sex, growth of round gobies at three locations of Lake Michigan and four locations of Lake Huron was investigated using MMI, based on information theory, with three candidate growth models. These three growth models included the von Bertalanffy model, the Gompertz model, and the logistic model. The von Bertalanffy model was most often selected (13 out of 14 cases) as the ‘best’ model among all candidate models, followed by the logistic model. None of the best models were strongly supported as a ‘clear winner’. At least one additional model was supported by the data in each of the 14 cases, indicating that there is a substantial degree of uncertainty in model selection. When model selection uncertainty was ignored, standard errors of growth parameters were underestimated in 8 of the 14 cases. Overall, round gobies in Lake Michigan attained larger sizes at age and grew faster than in Lake Huron. Based on multi-model inference, our study provided a robust assessment of round goby growth, which will be essential in better managing sport fisheries in both lakes.
There is a need for benchmarking and validating simulated ground motions in order for them to be utilized by the engineering community. Such validation may be geared towards a specific ground motion simulation method, a target engineering application, and a specific location; the validation presented herein focuses on a bridge engineering application in southern California. Catalogs of simulated ground motions representing a 200,000-year forecast are selected from the Southern California Earthquake Center CyberShake version 15.12 database for five sites in Southern California (~20,000 unscaled ground motions per site). They are used in Non-Linear Time History Analysis (NLTHA) of four Ordinary Standard Bridge structures. For each site, these data are used to obtain simulation-based Engineering Demand Parameter (EDP) hazard curves. These are compared against EDP hazard curves that are constructed using conventional methods based on empirical models, i.e., using recorded ground motions through Incremental Dynamic Analysis and integration over the Intensity Measure (IM) hazard curve. The two sets of simulation-based and conventional EDP hazard curves are compared at various return periods. To further account for the differences between simulated and recorded ground motions, direct comparisons are also made between IM hazard curves for simulated and recorded catalogs, as well as the EDP versus IM data obtained from NLTHA of the bridges. We observe that CyberShake simulates motions that yield similar EDP values compared to empirical data for shorter return periods. For longer return periods, however, EDPs from the simulation-based analysis tend to be lower than the EDPs obtained from utilizing recorded ground motions for short-period bridges, while the opposite is the case for long-period bridges. It is recommended that validation efforts go beyond IM levels and also include comparisons of the relations between IMs and EDPs. Finally, site-specific relations are proposed that correlate the ratio between the two types of EDPs (simulation-based and conventional) with the hazard level, shallow site condition, and site basin depth.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.soildyn.2020.106533","usgsCitation":"Fayaz, J., Rezaeian, S., and Zareian, F., 2021, Evaluation of simulated ground motions using probabilistic seismic demand analysis: CyberShake (ver. 15.12) simulations for Ordinary Standard Bridges: Soil Dynamics and Earthquake Engineering Journal, v. 141, 106533,12 p., https://doi.org/10.1016/j.soildyn.2020.106533.","productDescription":"106533,12 p.","ipdsId":"IP-124793","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":453982,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/24h5p4cj","text":"External Repository"},{"id":381938,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"141","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fayaz, Jawad","contributorId":217356,"corporation":false,"usgs":false,"family":"Fayaz","given":"Jawad","email":"","affiliations":[{"id":34134,"text":"UC Irvine","active":true,"usgs":false}],"preferred":false,"id":807631,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rezaeian, Sanaz 0000-0001-7589-7893 srezaeian@usgs.gov","orcid":"https://orcid.org/0000-0001-7589-7893","contributorId":4395,"corporation":false,"usgs":true,"family":"Rezaeian","given":"Sanaz","email":"srezaeian@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":807632,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zareian, Farzin","contributorId":152544,"corporation":false,"usgs":false,"family":"Zareian","given":"Farzin","email":"","affiliations":[{"id":6641,"text":"University of California at Merced","active":true,"usgs":false}],"preferred":false,"id":807633,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70236888,"text":"70236888 - 2021 - A ground‐motion prediction model for shallow crustal earthquakes in Greece","interactions":[],"lastModifiedDate":"2022-09-21T12:17:14.197561","indexId":"70236888","displayToPublicDate":"2020-12-29T07:14:39","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"A ground‐motion prediction model for shallow crustal earthquakes in Greece","docAbstract":"Using a recently completed database of uniformly processed strong‐motion data recorded in Greece, we derive a ground‐motion prediction model (GMPM) for horizontal‐component peak ground velocity, peak ground acceleration, and 5% damped pseudoacceleration response spectra, at 105 periods ranging from 0.01 to 10 s. The equations were developed by modifying a global GMPM, to account for more rapid attenuation and weaker magnitude scaling in the Greek ground motions than in the global GMPM. Our GMPM is calibrated using the Greek data for distances up to 300 km, magnitudes from 4.0 to 7.0, and time‐averaged 30 m shear‐wave velocities from 150 to
Assessing long‐term shifts in faunal assemblages is important to understand the consequences of ongoing global environmental change. One approach to assess drivers of assemblage changes is to identify the traits associated with synchronous shifts in count trends among species. Our research identified traits influencing trends in 73 years of count data on migrating raptors recorded in the north‐eastern USA.
Pennsylvania, USA.
1946–2018.
Birds of prey/raptors.
Migrating raptors were counted during autumn, following a standardized protocol. We used a hierarchical breakpoint model to identify when count trends shifted and to assess the role of traits in driving these trends before and after the breakpoint. Specifically, we quantified the probability of the direction (PD) of an effect of body mass, habitat or dietary specialization, migratory behaviour and susceptibility to dichlorodiphenyltrichloroethane (DDT) on count trends.
We documented an assemblage‐wide mean shift in count trends of migrating raptors in 1974. In general, species that exhibited negative count trends before the breakpoint exhibited positive count trends afterwards. We found that traits associated with resource use (diet and habitat specialization) had high probabilities of affecting count trends, pre‐ and post‐breakpoint (> 90%). Moreover, the direction of their effects differed during both periods. Unexpectedly, other traits we evaluated, including DDT susceptibility, had relatively weaker associations with count trends.
Trait‐based frameworks have promise for testing generalized assumptions about drivers of population trajectories. Historically, DDT was considered a key driver of changes in raptor population trends. However, our analysis suggests that other factors were also relevant. Moreover, the positive association between count trends and generalist behaviour depended on the temporal context. This result has implications for other settings where demographic trends can be linked to traits and help to identify drivers of biodiversity change.
","language":"English","publisher":"Wiley","doi":"10.1111/geb.13242","usgsCitation":"Dumandan, P.K., Bildstein, K.L., Goodrich, L.J., Zaiats, A., Caughlin, T., and Katzner, T., 2021, Shared functional traits explain synchronous changes in long‐term count trends of migratory raptors: Global Ecology and Biogeography, v. 30, no. 3, p. 640-650, https://doi.org/10.1111/geb.13242.","productDescription":"11 p.","startPage":"640","endPage":"650","ipdsId":"IP-118350","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":384958,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-79.916171,39.720893],[-80.075947,39.72135],[-80.421388,39.721189],[-80.519342,39.721403],[-80.519423,39.806181],[-80.518891,39.890964],[-80.519248,39.936967],[-80.51896,40.078089],[-80.519039,40.342101],[-80.517991,40.367968],[-80.51769,40.462467],[-80.51899,40.473667],[-80.519002,40.877543],[-80.519891,40.906661],[-80.519091,40.921061],[-80.518928,41.070954],[-80.519144,41.171203],[-80.518693,41.248855],[-80.518993,41.268155],[-80.518794,41.305509],[-80.519129,41.312408],[-80.519345,41.340145],[-80.518993,41.435454],[-80.519339,41.539297],[-80.519425,41.977522],[-80.435451,42.005611],[-80.409776,42.011578],[-80.373066,42.024102],[-80.371869,42.023966],[-80.363251,42.027973],[-80.349169,42.030243],[-80.329976,42.036168],[-80.296758,42.049076],[-80.230486,42.077957],[-80.188085,42.094257],[-80.165884,42.105857],[-80.154084,42.114757],[-80.136213,42.149937],[-80.13043,42.156331],[-80.117368,42.166341],[-80.088512,42.173184],[-80.077388,42.171262],[-80.073381,42.168658],[-80.080028,42.163625],[-80.071981,42.155357],[-80.078781,42.151457],[-80.076281,42.147857],[-80.07198,42.146057],[-80.06108,42.144857],[-79.989186,42.177051],[-79.931324,42.206737],[-79.923924,42.207546],[-79.90105,42.216701],[-79.886187,42.224933],[-79.867979,42.230999],[-79.844661,42.235486],[-79.798447,42.255939],[-79.761951,42.26986],[-79.762152,42.243054],[-79.761759,42.162675],[-79.762122,42.131246],[-79.761709,42.11899],[-79.761798,42.019042],[-79.761374,41.999067],[-79.670128,41.999335],[-79.472472,41.998255],[-79.249772,41.998807],[-79.17857,41.999458],[-79.061265,41.999259],[-78.983065,41.998949],[-78.874759,41.997559],[-78.749754,41.998109],[-78.59665,41.999877],[-78.308128,41.999415],[-78.271204,41.998968],[-78.12473,42.000452],[-78.031177,41.999415],[-77.997508,41.998758],[-77.83203,41.998524],[-77.505308,42.00007],[-77.124693,41.999395],[-77.063676,42.000461],[-76.920784,42.001774],[-76.749675,42.001689],[-76.558118,42.000155],[-76.462155,41.998934],[-76.343722,41.998346],[-76.131201,41.998954],[-75.98025,41.999035],[-75.870677,41.998828],[-75.742217,41.997864],[-75.610316,41.99896],[-75.359579,41.999445],[-75.353504,41.99711],[-75.346568,41.995324],[-75.341125,41.992772],[-75.337602,41.9867],[-75.337791,41.984386],[-75.34246,41.974303],[-75.342204,41.972872],[-75.339488,41.970786],[-75.335771,41.970315],[-75.329318,41.968232],[-75.322384,41.961693],[-75.32004,41.960867],[-75.318168,41.954236],[-75.312817,41.950182],[-75.310358,41.949012],[-75.303966,41.948216],[-75.301664,41.94838],[-75.301233,41.9489],[-75.301593,41.952811],[-75.300409,41.953871],[-75.29858,41.954521],[-75.293713,41.954593],[-75.29143,41.952477],[-75.291762,41.947092],[-75.290966,41.945039],[-75.289383,41.942891],[-75.279094,41.938917],[-75.277243,41.933598],[-75.276501,41.926679],[-75.276552,41.922208],[-75.275368,41.919564],[-75.269736,41.911363],[-75.267562,41.907054],[-75.267773,41.901971],[-75.272778,41.897112],[-75.272581,41.893168],[-75.271292,41.88736],[-75.267789,41.885982],[-75.263005,41.885109],[-75.260623,41.883783],[-75.257564,41.877108],[-75.258439,41.875087],[-75.261488,41.873277],[-75.263815,41.870757],[-75.263673,41.868105],[-75.262802,41.866213],[-75.260527,41.8638],[-75.257825,41.862154],[-75.251197,41.86204],[-75.248045,41.8633],[-75.243345,41.866875],[-75.241134,41.867118],[-75.238743,41.865699],[-75.234565,41.861569],[-75.231612,41.859459],[-75.22572,41.857481],[-75.223734,41.857456],[-75.220125,41.860534],[-75.21497,41.867449],[-75.209741,41.86925],[-75.204002,41.869867],[-75.197836,41.868807],[-75.194382,41.867287],[-75.191441,41.865063],[-75.190203,41.862454],[-75.188888,41.861264],[-75.186993,41.860109],[-75.185254,41.85993],[-75.183937,41.860515],[-75.182271,41.862198],[-75.180497,41.86568],[-75.179134,41.869935],[-75.176633,41.872371],[-75.174574,41.87266],[-75.170565,41.871608],[-75.169142,41.87029],[-75.168053,41.867043],[-75.168733,41.859258],[-75.166217,41.853862],[-75.164168,41.851586],[-75.161541,41.849836],[-75.156512,41.848327],[-75.152898,41.848564],[-75.143824,41.851737],[-75.140241,41.852078],[-75.130983,41.845145],[-75.127913,41.844903],[-75.118789,41.845819],[-75.115598,41.844638],[-75.114399,41.843583],[-75.113369,41.840698],[-75.113441,41.836298],[-75.114998,41.8303],[-75.115147,41.827285],[-75.114837,41.82567],[-75.113334,41.822782],[-75.100024,41.818347],[-75.093537,41.813375],[-75.089484,41.811576],[-75.085789,41.811626],[-75.079818,41.814815],[-75.078063,41.815112],[-75.074409,41.815088],[-75.072172,41.813732],[-75.071751,41.811901],[-75.072168,41.808327],[-75.074412,41.802191],[-75.076889,41.798509],[-75.07827,41.797467],[-75.081415,41.796483],[-75.088328,41.797534],[-75.092876,41.796386],[-75.101463,41.787941],[-75.102329,41.786503],[-75.103548,41.782008],[-75.10464,41.774203],[-75.104334,41.772693],[-75.103492,41.771238],[-75.10099,41.769121],[-75.095451,41.768366],[-75.09281,41.768361],[-75.079478,41.771205],[-75.075942,41.771518],[-75.074231,41.770518],[-75.072664,41.768807],[-75.068567,41.767298],[-75.064901,41.766686],[-75.060759,41.764638],[-75.053431,41.752538],[-75.052808,41.744725],[-75.054818,41.735168],[-75.053527,41.72715],[-75.049699,41.715093],[-75.049862,41.713309],[-75.050689,41.711969],[-75.052226,41.711396],[-75.061174,41.712935],[-75.06663,41.712588],[-75.068642,41.710146],[-75.06883,41.708161],[-75.067278,41.705434],[-75.059829,41.699716],[-75.056745,41.695703],[-75.052736,41.688393],[-75.051234,41.682439],[-75.051285,41.679961],[-75.052653,41.678436],[-75.058765,41.674412],[-75.059332,41.67232],[-75.05843,41.669653],[-75.057251,41.668933],[-75.053991,41.668194],[-75.04992,41.662556],[-75.048683,41.656317],[-75.049281,41.641862],[-75.048658,41.633781],[-75.048199,41.632011],[-75.043562,41.62364],[-75.044224,41.617978],[-75.045508,41.616203],[-75.047298,41.615791],[-75.048385,41.615986],[-75.051856,41.618157],[-75.05385,41.618655],[-75.060098,41.617482],[-75.06156,41.616429],[-75.061675,41.615468],[-75.059956,41.612306],[-75.059725,41.610801],[-75.062716,41.609639],[-75.067795,41.610143],[-75.071667,41.609501],[-75.074626,41.607905],[-75.074613,41.605711],[-75.066955,41.599428],[-75.063677,41.594739],[-75.060012,41.590813],[-75.052858,41.587772],[-75.04676,41.583258],[-75.043879,41.575094],[-75.04049,41.569688],[-75.036989,41.567049],[-75.033162,41.565092],[-75.029211,41.564637],[-75.027343,41.563541],[-75.018524,41.551802],[-75.016328,41.546501],[-75.016144,41.544246],[-75.017626,41.542734],[-75.022828,41.541456],[-75.024798,41.539801],[-75.024757,41.535099],[-75.024206,41.534018],[-75.023018,41.533147],[-75.016616,41.53211],[-75.014919,41.531399],[-75.009552,41.528461],[-75.00385,41.524052],[-75.001297,41.52065],[-75.000911,41.519292],[-75.000935,41.517638],[-75.002592,41.51456],[-75.003706,41.511118],[-75.003694,41.509295],[-75.003151,41.508101],[-74.999612,41.5074],[-74.993893,41.508754],[-74.987645,41.508738],[-74.985653,41.507926],[-74.984372,41.506611],[-74.982385,41.500981],[-74.982168,41.498486],[-74.982463,41.496467],[-74.985247,41.489113],[-74.985595,41.485863],[-74.985004,41.483703],[-74.983341,41.480894],[-74.981652,41.479945],[-74.969887,41.477438],[-74.95826,41.476396],[-74.956411,41.476735],[-74.94808,41.480625],[-74.945634,41.483213],[-74.941798,41.483542],[-74.932585,41.482323],[-74.926835,41.478327],[-74.924092,41.477138],[-74.917282,41.477041],[-74.912517,41.475605],[-74.909181,41.472436],[-74.908133,41.468117],[-74.908103,41.464639],[-74.906887,41.461131],[-74.9042,41.459806],[-74.895069,41.45819],[-74.892114,41.456959],[-74.890358,41.455324],[-74.889116,41.452534],[-74.889075,41.451245],[-74.894931,41.446099],[-74.896399,41.442179],[-74.896025,41.439987],[-74.893913,41.43893],[-74.888691,41.438259],[-74.876721,41.440338],[-74.864688,41.443993],[-74.858578,41.444427],[-74.8542,41.443166],[-74.848602,41.440179],[-74.845572,41.437577],[-74.836915,41.431625],[-74.834635,41.430796],[-74.830671,41.430503],[-74.828592,41.430698],[-74.826031,41.431736],[-74.82288,41.436792],[-74.817995,41.440505],[-74.812123,41.442982],[-74.807582,41.442847],[-74.805655,41.442101],[-74.801225,41.4381],[-74.80037,41.43606],[-74.800095,41.432661],[-74.799546,41.43129],[-74.795396,41.42398],[-74.793856,41.422671],[-74.790417,41.42166],[-74.784339,41.422397],[-74.778029,41.425104],[-74.773239,41.426352],[-74.77065,41.42623],[-74.763701,41.423612],[-74.758587,41.423287],[-74.754359,41.425147],[-74.75068,41.427984],[-74.743821,41.430635],[-74.740932,41.43116],[-74.738455,41.430641],[-74.736688,41.429228],[-74.735519,41.427465],[-74.734893,41.425818],[-74.734731,41.422699],[-74.738684,41.413463],[-74.741086,41.411413],[-74.741717,41.40788],[-74.740963,41.40512],[-74.738554,41.401191],[-74.736103,41.398398],[-74.73364,41.396975],[-74.730384,41.39566],[-74.720891,41.39469],[-74.715979,41.392584],[-74.713411,41.389814],[-74.710391,41.382102],[-74.708458,41.378901],[-74.703282,41.375093],[-74.694968,41.370431],[-74.691129,41.367324],[-74.689516,41.363843],[-74.689767,41.361558],[-74.691076,41.36034],[-74.696398,41.357339],[-74.694914,41.357423],[-74.700595,41.354553],[-74.704429,41.354043],[-74.708514,41.352734],[-74.720923,41.347384],[-74.730373,41.345983],[-74.735622,41.346518],[-74.753239,41.346122],[-74.755971,41.344953],[-74.760325,41.340325],[-74.763499,41.331568],[-74.766714,41.328558],[-74.771588,41.325079],[-74.774887,41.324326],[-74.781584,41.324229],[-74.789095,41.323281],[-74.792116,41.322465],[-74.79504,41.320407],[-74.795822,41.318516],[-74.792377,41.314088],[-74.791991,41.311639],[-74.792558,41.310628],[-74.806858,41.303155],[-74.812033,41.298157],[-74.815703,41.296151],[-74.821884,41.293838],[-74.830057,41.2872],[-74.834067,41.281111],[-74.838366,41.277286],[-74.841137,41.27098],[-74.846319,41.263077],[-74.846506,41.261576],[-74.845031,41.258055],[-74.845883,41.254945],[-74.846932,41.253318],[-74.848987,41.251192],[-74.854669,41.25051],[-74.856003,41.250094],[-74.857151,41.248975],[-74.861678,41.241575],[-74.862049,41.237609],[-74.866182,41.232132],[-74.867405,41.22777],[-74.866839,41.226865],[-74.860837,41.222317],[-74.859323,41.220507],[-74.859632,41.219077],[-74.860398,41.217454],[-74.867287,41.208754],[-74.874034,41.198543],[-74.878275,41.190489],[-74.878492,41.187504],[-74.882139,41.180836],[-74.889424,41.1736],[-74.899701,41.166181],[-74.901172,41.16387],[-74.90178,41.161394],[-74.905256,41.155668],[-74.923169,41.138146],[-74.931141,41.133387],[-74.945067,41.129052],[-74.947714,41.126292],[-74.947334,41.124439],[-74.947912,41.12356],[-74.964294,41.114237],[-74.966298,41.113669],[-74.969312,41.113869],[-74.972917,41.113327],[-74.979873,41.110423],[-74.982212,41.108245],[-74.991718,41.092284],[-74.991815,41.089132],[-74.991013,41.088578],[-74.988263,41.088222],[-74.984782,41.088545],[-74.981314,41.08986],[-74.975298,41.094073],[-74.972036,41.095562],[-74.969434,41.096074],[-74.967464,41.095327],[-74.966759,41.093425],[-74.968389,41.087797],[-74.970987,41.085293],[-74.98259,41.079172],[-74.989332,41.078319],[-74.994847,41.076556],[-74.999617,41.073943],[-75.006376,41.067546],[-75.011133,41.067521],[-75.01257,41.066281],[-75.015271,41.061215],[-75.015867,41.05821],[-75.017239,41.055491],[-75.019186,41.052968],[-75.025702,41.046482],[-75.026376,41.04444],[-75.02543,41.04071],[-75.025777,41.039806],[-75.030701,41.038416],[-75.034496,41.036755],[-75.040668,41.031755],[-75.070532,41.01862],[-75.074999,41.01713],[-75.081101,41.016838],[-75.089787,41.014549],[-75.090312,41.013302],[-75.095556,41.008874],[-75.100682,41.006716],[-75.109114,41.004102],[-75.110595,41.002174],[-75.123423,40.996129],[-75.127196,40.993954],[-75.130575,40.991093],[-75.131619,40.9889],[-75.13153,40.984914],[-75.132106,40.982566],[-75.133086,40.980179],[-75.135521,40.976865],[-75.135526,40.973807],[-75.13378,40.970973],[-75.131364,40.969277],[-75.129074,40.968976],[-75.122603,40.970152],[-75.120514,40.968369],[-75.11977,40.96651],[-75.12065,40.964028],[-75.119893,40.961646],[-75.118904,40.956361],[-75.117764,40.953023],[-75.111683,40.948111],[-75.106153,40.939671],[-75.105524,40.936294],[-75.095526,40.924152],[-75.079279,40.91389],[-75.076956,40.90988],[-75.076092,40.907042],[-75.075188,40.900154],[-75.075957,40.895694],[-75.07534,40.894162],[-75.07392,40.892176],[-75.065438,40.885682],[-75.062149,40.882289],[-75.058655,40.877654],[-75.053664,40.87366],[-75.051508,40.870224],[-75.050839,40.868067],[-75.051029,40.865662],[-75.053294,40.8599],[-75.060491,40.85302],[-75.064328,40.848338],[-75.066014,40.847591],[-75.07083,40.847392],[-75.073544,40.84894],[-75.076684,40.849875],[-75.090962,40.849187],[-75.095784,40.847082],[-75.097221,40.844672],[-75.097586,40.843042],[-75.097572,40.840967],[-75.097006,40.839336],[-75.09494,40.837103],[-75.085517,40.830085],[-75.083822,40.827805],[-75.083929,40.824471],[-75.085387,40.821972],[-75.090518,40.815913],[-75.096147,40.812211],[-75.098279,40.810286],[-75.100277,40.807578],[-75.100739,40.805488],[-75.100165,40.803],[-75.100277,40.801176],[-75.1008,40.799797],[-75.108505,40.791094],[-75.111343,40.789896],[-75.116842,40.78935],[-75.123088,40.786746],[-75.125867,40.784026],[-75.131465,40.77595],[-75.133303,40.774124],[-75.1344,40.773765],[-75.139106,40.773606],[-75.149378,40.774786],[-75.16365,40.778386],[-75.169523,40.778473],[-75.171587,40.777745],[-75.173349,40.776129],[-75.17562,40.772923],[-75.176855,40.768721],[-75.177477,40.764225],[-75.17904,40.761897],[-75.183037,40.759344],[-75.191796,40.75583],[-75.196533,40.751631],[-75.196861,40.750097],[-75.196325,40.747137],[-75.195349,40.745473],[-75.18578,40.737266],[-75.182804,40.73365],[-75.182084,40.731522],[-75.1825,40.729922],[-75.186372,40.72397],[-75.189412,40.71797],[-75.192612,40.715874],[-75.19442,40.714018],[-75.19872,40.705298],[-75.20392,40.691498],[-75.20092,40.685498],[-75.19692,40.681299],[-75.19058,40.679379],[-75.184516,40.679971],[-75.180564,40.679363],[-75.177587,40.677731],[-75.176803,40.675715],[-75.177491,40.672595],[-75.182756,40.665971],[-75.18794,40.663811],[-75.190852,40.661939],[-75.196676,40.655123],[-75.200452,40.649219],[-75.200468,40.646899],[-75.193492,40.642275],[-75.192276,40.640803],[-75.191059,40.637971],[-75.188579,40.624628],[-75.189283,40.621492],[-75.190691,40.619956],[-75.197891,40.619332],[-75.200708,40.618356],[-75.201812,40.617188],[-75.201348,40.614628],[-75.198499,40.611492],[-75.195923,40.606788],[-75.192291,40.602676],[-75.190146,40.590359],[-75.190796,40.586838],[-75.194656,40.58194],[-75.195114,40.579689],[-75.194046,40.576256],[-75.192352,40.574257],[-75.186737,40.569406],[-75.183151,40.567354],[-75.175307,40.564996],[-75.168609,40.564111],[-75.162871,40.564096],[-75.158446,40.565286],[-75.147368,40.573152],[-75.141906,40.575273],[-75.136748,40.575731],[-75.117292,40.573211],[-75.110903,40.570671],[-75.100325,40.567811],[-75.0957,40.564401],[-75.078503,40.548296],[-75.068615,40.542223],[-75.067257,40.539584],[-75.066426,40.536619],[-75.06509,40.526148],[-75.065853,40.519495],[-75.066001,40.510716],[-75.065275,40.504682],[-75.062373,40.491689],[-75.061937,40.486362],[-75.062227,40.481391],[-75.064327,40.476795],[-75.067776,40.472827],[-75.06805,40.468578],[-75.067302,40.464954],[-75.070568,40.456348],[-75.070568,40.455165],[-75.067425,40.448323],[-75.062923,40.433407],[-75.061489,40.422848],[-75.058848,40.418065],[-75.056102,40.416066],[-75.046473,40.413792],[-75.043071,40.411603],[-75.041651,40.409894],[-75.036616,40.406796],[-75.028315,40.403883],[-75.024775,40.403455],[-75.017221,40.404638],[-75.003351,40.40785],[-74.998651,40.410093],[-74.996378,40.410528],[-74.988901,40.408773],[-74.985467,40.405935],[-74.982735,40.404432],[-74.969597,40.39977],[-74.965508,40.397337],[-74.963997,40.395246],[-74.953697,40.376081],[-74.948722,40.364768],[-74.946006,40.357306],[-74.945088,40.347332],[-74.943776,40.342564],[-74.939711,40.338006],[-74.933111,40.333106],[-74.92681,40.329406],[-74.91741,40.322406],[-74.90831,40.316907],[-74.90331,40.315607],[-74.896409,40.315107],[-74.891609,40.313007],[-74.887109,40.310307],[-74.880609,40.305607],[-74.868209,40.295207],[-74.860492,40.284584],[-74.856508,40.277407],[-74.853108,40.269707],[-74.846608,40.258808],[-74.842308,40.250508],[-74.836307,40.246208],[-74.823907,40.241508],[-74.819507,40.238508],[-74.795306,40.229408],[-74.781206,40.221508],[-74.77136,40.215399],[-74.770406,40.214508],[-74.766905,40.207709],[-74.760605,40.198909],[-74.756905,40.189409],[-74.755605,40.186709],[-74.754305,40.185209],[-74.751705,40.183309],[-74.744105,40.181009],[-74.737205,40.177609],[-74.733804,40.174509],[-74.722304,40.160609],[-74.721504,40.158409],[-74.721604,40.15381],[-74.722604,40.15001],[-74.724304,40.14701],[-74.725663,40.145495],[-74.740605,40.13521],[-74.742905,40.13441],[-74.745905,40.13421],[-74.755305,40.13471],[-74.758882,40.134036],[-74.762864,40.132541],[-74.769488,40.129145],[-74.782106,40.12081],[-74.785106,40.12031],[-74.788706,40.12041],[-74.800607,40.12281],[-74.812807,40.12691],[-74.816307,40.12761],[-74.819007,40.12751],[-74.822307,40.12671],[-74.825907,40.12391],[-74.828408,40.12031],[-74.832808,40.11171],[-74.835108,40.10391],[-74.838008,40.10091],[-74.843408,40.09771],[-74.851108,40.09491],[-74.854409,40.09311],[-74.856509,40.09131],[-74.858209,40.08881],[-74.859809,40.08491],[-74.860909,40.08371],[-74.863809,40.08221],[-74.880209,40.07881],[-74.88781,40.07581],[-74.909011,40.07021],[-74.911911,40.06991],[-74.920811,40.07111],[-74.925311,40.07071],[-74.932211,40.068411],[-74.944412,40.063211],[-74.974713,40.048711],[-74.983913,40.042711],[-74.989914,40.037311],[-75.007914,40.023111],[-75.011115,40.021311],[-75.015515,40.019511],[-75.039316,40.013012],[-75.047016,40.008912],[-75.051217,40.004512],[-75.059017,39.992512],[-75.072017,39.980612],[-75.088618,39.975212],[-75.093718,39.974412],[-75.108119,39.970312],[-75.11922,39.965412],[-75.12692,39.961112],[-75.13012,39.958712],[-75.13352,39.954412],[-75.13572,39.947112],[-75.13612,39.933912],[-75.13502,39.927312],[-75.13282,39.921612],[-75.13012,39.917013],[-75.12792,39.911813],[-75.13082,39.900213],[-75.13342,39.896213],[-75.140221,39.888213],[-75.145421,39.884213],[-75.150721,39.882713],[-75.183023,39.882013],[-75.189323,39.880713],[-75.195324,39.877013],[-75.210425,39.865913],[-75.221025,39.861113],[-75.235026,39.856613],[-75.243431,39.854597],[-75.271159,39.84944],[-75.293376,39.848782],[-75.309674,39.850179],[-75.323232,39.849812],[-75.330433,39.849012],[-75.341765,39.846082],[-75.3544,39.839917],[-75.371835,39.827612],[-75.390536,39.815312],[-75.403737,39.807512],[-75.415041,39.801786],[-75.428038,39.809212],[-75.45374,39.820312],[-75.463341,39.823812],[-75.481242,39.829112],[-75.498843,39.833312],[-75.518444,39.836311],[-75.539346,39.838211],[-75.570464,39.839007],[-75.579849,39.838526],[-75.593666,39.837455],[-75.617251,39.833999],[-75.634706,39.830164],[-75.641518,39.828363],[-75.662822,39.82115],[-75.685991,39.811054],[-75.701208,39.802606],[-75.716969,39.791998],[-75.727049,39.784126],[-75.736489,39.775759],[-75.744394,39.767855],[-75.753066,39.757631],[-75.760346,39.747231],[-75.766058,39.737811],[-75.773558,39.722411],[-75.788359,39.721811],[-75.998649,39.721576],[-76.013067,39.72192],[-76.233259,39.721305],[-76.715594,39.721103],[-76.8901,39.720401],[-76.936601,39.720701],[-76.990903,39.7198],[-77.058204,39.7202],[-77.534758,39.720134],[-77.724115,39.720894],[-77.874719,39.722219],[-78.330715,39.722689],[-78.337111,39.722461],[-78.438839,39.722481],[-78.461422,39.722869],[-78.537702,39.72249],[-78.546415,39.722869],[-78.575893,39.722561],[-78.723529,39.723043],[-79.045548,39.722883],[-79.548465,39.720778],[-79.610623,39.721245],[-79.763774,39.720776],[-79.916171,39.720893]]]},\"properties\":{\"name\":\"Pennsylvania\",\"nation\":\"USA \"}}]}","volume":"30","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-12-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Dumandan, Patricia Kaye T. 0000-0003-3360-1534","orcid":"https://orcid.org/0000-0003-3360-1534","contributorId":257070,"corporation":false,"usgs":false,"family":"Dumandan","given":"Patricia","email":"","middleInitial":"Kaye T.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":813783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bildstein, Keith L.","contributorId":150854,"corporation":false,"usgs":false,"family":"Bildstein","given":"Keith","email":"","middleInitial":"L.","affiliations":[{"id":18119,"text":"Hawk Mountain Sanctuary, Acopian Center for Conservation Learning","active":true,"usgs":false}],"preferred":false,"id":813784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goodrich, Laurie J. 0000-0001-8558-6538","orcid":"https://orcid.org/0000-0001-8558-6538","contributorId":257071,"corporation":false,"usgs":false,"family":"Goodrich","given":"Laurie","email":"","middleInitial":"J.","affiliations":[{"id":51980,"text":"Hawk Mountain Sanctuary","active":true,"usgs":false}],"preferred":false,"id":813785,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zaiats, Andrii 0000-0001-8978-4152","orcid":"https://orcid.org/0000-0001-8978-4152","contributorId":257072,"corporation":false,"usgs":false,"family":"Zaiats","given":"Andrii","email":"","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":813786,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Caughlin, Trevor 0000-0001-6752-2055","orcid":"https://orcid.org/0000-0001-6752-2055","contributorId":256964,"corporation":false,"usgs":false,"family":"Caughlin","given":"Trevor","email":"","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":813787,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":813788,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70226971,"text":"70226971 - 2021 - Intrinsic and extrinsic drivers of life-history variability for a south-western cutthroat trout","interactions":[],"lastModifiedDate":"2021-12-23T13:49:00.421423","indexId":"70226971","displayToPublicDate":"2020-12-23T07:44:02","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Intrinsic and extrinsic drivers of life-history variability for a south-western cutthroat trout","docAbstract":"The impacts of climate change on cold-water fishes will likely negatively manifest in populations at the trailing edge of their distributions. Rio Grande cutthroat trout (Oncorhynchus clarkii virginalis, RGCT) occupy arid south-western U.S. streams at the southern-most edge of all cutthroat trout distributions, making RGCT particularly vulnerable to the anticipated warming and drying in this region. We hypothesised that RGCT possess a portfolio of life-history traits that aid in their persistence within streams of varying temperature and stream drying conditions. We used otolith and multistate capture–mark–recapture data to determine how these environmental constraints influence life-history trait expression (length- and age-at-maturity) and demography in RGCT populations from northern New Mexico, United States. We found evidence that RGCT reached maturity fastest at sites with warm stream temperatures and low densities. We did not find a strong relationship between discharge and any demographic rate, although apparent survival of mature RGCT decreased as stream temperature increased. Our study suggests plasticity in trait expression may be a life-history characteristic which can assist trailing edge populations like RGCT persist in a changing climate.
Landslides have the incredible power to transform landscapes and also, tragically, to cause disastrous societal impacts. Whereas the mechanics and effects of many landslide disasters have been analyzed in detail, the means by which landslide experts respond to these events has garnered much less attention. Herein, we evaluate nine landslide response case histories conducted by the U.S. Geological Survey over the past two decades and summarize the event history, the response conducted, and the lessons learned from each event. We group the responses into three categories—providing event context from past events, addressing ongoing hazards, and acquiring data for the future—and present the nine case studies accordingly. We also summarize the progress in landslide response that has been made over the past two decades, including insights and advancements on the preparation for such events, the use of new technologies, and the importance of clear communication between all parties during disasters. We believe that exchanging and sharing experiences such as these will promote more clear and successful approaches for responses to landslide disasters in the future.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Understanding and reducing landslide disaster risk","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-030-60196-6_4","collaboration":"National Park Service","usgsCitation":"Collins, B.D., Reid, M.E., Coe, J.A., Kean, J.W., Baum, R.L., Jibson, R.W., Godt, J.W., Slaughter, S., and Stock, G.M., 2021, Progress and lessons learned from responses to landslide disasters, chap. of Understanding and reducing landslide disaster risk, p. 85-111, https://doi.org/10.1007/978-3-030-60196-6_4.","productDescription":"17 p.","startPage":"85","endPage":"111","ipdsId":"IP-117641","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":385192,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2020-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Collins, Brian D. 0000-0003-4881-5359 bcollins@usgs.gov","orcid":"https://orcid.org/0000-0003-4881-5359","contributorId":149278,"corporation":false,"usgs":true,"family":"Collins","given":"Brian","email":"bcollins@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":810500,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reid, Mark E. 0000-0002-5595-1503 mreid@usgs.gov","orcid":"https://orcid.org/0000-0002-5595-1503","contributorId":1167,"corporation":false,"usgs":true,"family":"Reid","given":"Mark","email":"mreid@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":810501,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":810502,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":810503,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baum, Rex L. 0000-0001-5337-1970 baum@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1970","contributorId":1288,"corporation":false,"usgs":true,"family":"Baum","given":"Rex","email":"baum@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":810504,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jibson, Randall W. 0000-0003-3399-0875 jibson@usgs.gov","orcid":"https://orcid.org/0000-0003-3399-0875","contributorId":2985,"corporation":false,"usgs":true,"family":"Jibson","given":"Randall","email":"jibson@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":810505,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":810506,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Slaughter, Stephen","contributorId":216500,"corporation":false,"usgs":false,"family":"Slaughter","given":"Stephen","affiliations":[{"id":13477,"text":"Washington Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":810507,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stock, Greg M.","contributorId":202873,"corporation":false,"usgs":false,"family":"Stock","given":"Greg","email":"","middleInitial":"M.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":810508,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70224290,"text":"70224290 - 2021 - Identifying information gaps in predicting winter foraging habitat for juvenile Gulf Sturgeon","interactions":[],"lastModifiedDate":"2023-07-07T13:40:08.78752","indexId":"70224290","displayToPublicDate":"2020-12-22T07:38:01","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Identifying information gaps in predicting winter foraging habitat for juvenile Gulf Sturgeon","docAbstract":"The Gulf Sturgeon Acipenser oxyrinchus desotoi is an anadromous species that inhabits Gulf of Mexico coastal waters from Louisiana to Florida and is listed as threatened under the U.S. Endangered Species Act. Seasonal cues (e.g., freshwater discharge) determine the timing of spawning and migration and may influence the availability of critical habitat during winter months in six estuaries. Large information gaps, especially related to critical estuarine habitat for juveniles, hinder recovery efforts to protect these habitats and assess risks from emerging threats. Using Apalachicola Bay, Florida, as a model system, we developed and analyzed a preliminary Bayesian network model so that we could identify knowledge gaps (i.e., where expert knowledge was lacking) and data gaps (i.e., where data were unavailable) that limit the ability to assess the quantity of critical estuarine habitat for juvenile Gulf Sturgeon. The model hypothesized habitat availability per winter month in estuarine habitat under alternative scenarios of river discharge and length of the winter foraging season. A search for geospatial data sets revealed that the largest gap involved salinity, temperature, and oxygen (i.e., water condition) monitoring data, with data available only for Apalachicola Bay. For the Apalachicola Bay model, data gaps prevented the development of 53% of water condition geospatial data sets and a sensitivity analysis showed that water condition data most limited the ability to predict habitat availability. Expert knowledge was low, and conditional certainty scores showed that the relationships with the lowest certainty were abiotic suitability and habitat availability. Reducing information gaps could aid the development of a model that is appropriate for informing management. Future efforts could prioritize the expansion of water monitoring within critical habitat estuaries and predicting abiotic suitability and habitat availability. Bayesian network models can easily incorporate prior and new information for complex systems. Thus, our model could be updated as future research and monitoring efforts close these information gaps.
Once extirpated from much of their North American range, temperate-breeding Canada geese (Branta canadensis maxima) have reached high abundance. As a result, focus has shifted from restoration to managing harvest and addressing human-goose conflict. Conflict persists or is increasing in urban areas throughout the Mississippi Flyway. Managers need more information regarding demographic rates to determine how hunting affects geese breeding in urban areas and what management actions may be required to achieve management goals. We estimated survival, dead recovery, live recapture, and fidelity probabilities using data from 77,872 Canada geese banded in Iowa, USA, during 1999–2019 using Burnham joint live-dead band recovery models. Factors predicted to affect parameters in candidate models included age (juvenile, subadult, adult), banding site (urban, rural), time, trend, harvest regulation index, and winter severity index. We predicted Canada geese banded in urban areas would have higher survival and lower dead recovery rates than geese banded at rural sites. The top model indicated support for age and banding site effects, and trends in survival and recovery rate (Brownie parameterization). Adult survival was similar for urban (0.75; range = 0.60–0.92) and rural (0.75; range = 0.66–0.82) geese and relatively constant across years. Mean juvenile survival was lower in urban (0.74; range = 0.48–0.93) than rural (0.85; range = 0.68–0.92) areas. Survival increased for urban-banded juveniles and recovery rates increased during liberalization of harvest regulations and decreased after regulations stabilized. Recovery rates of subadults increased for the urban and rural groups. Our results suggest Canada geese breeding in urban areas contribute to harvest and specialized regulations can affect these populations. Harvest regulations in place during our analysis may not have reached a threshold required to observe substantial changes in survival. Current human-goose conflict in urban areas suggests survival has not decreased to a level required to completely address conflict via reduction in goose abundance. Managers may consider additional liberalization of harvest regulations and monitoring via banding to determine to what degree hunter harvest contributes to reducing human-goose conflict and what additional management actions will be required to achieve goals. © 2020 The Wildlife Society.
Quantification of empirical relationships between ecosystem health and human well-being is uncommon at broad spatial scales. We used public data for Virginia (USA) counties to examine pairwise correlations among two indicators of stream health, thirteen indicators of human well-being, and four demographic metrics. Our indicators of stream health included the Virginia Stream Condition Index (VSCI) and the percentage of stream kilometers with a fish consumption advisory (%FCA); these measures are inversely related. VSCI and %FCA were correlated with some indicators of human health, safety and security, and living standards, as well as with some demographic metrics. VSCI was most strongly correlated (positively) with the percentage of a county’s population self-identifying as White; %FCA was most strongly correlated (positively) with overall mortality rate (number of deaths per 100,000 people). This exploratory study highlights the need for future multidisciplinary, multiscale studies to characterize toxicological, epidemiological, socioeconomic, and political linkages – including causal mechanisms – between ecosystem health and human well-being.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2020.107194","usgsCitation":"Angermeier, P.L., Stern, M.J., Krometis, L., and Hemby, T.L., 2021, Exploring relationships among stream health, human well-being, and demographics in Virginia, USA: Ecological Indicators, v. 121, 107194, 9 p., https://doi.org/10.1016/j.ecolind.2020.107194.","productDescription":"107194, 9 p.","ipdsId":"IP-101865","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":454052,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2020.107194","text":"Publisher Index Page"},{"id":388351,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-75.973607,37.835817],[-75.971705,37.830928],[-75.977301,37.825821],[-75.982158,37.806226],[-75.987301,37.804917],[-75.9983,37.812626],[-75.999658,37.848198],[-75.992556,37.848889],[-75.988018,37.841085],[-75.973607,37.835817]]],[[[-76.029405,37.953776],[-75.994739,37.953501],[-76.017592,37.935161],[-76.032491,37.915008],[-76.04653,37.953586],[-76.029405,37.953776]]],[[[-75.242266,38.027209],[-75.296871,37.959043],[-75.334296,37.893477],[-75.359036,37.864143],[-75.374642,37.859454],[-75.40054,37.874865],[-75.437868,37.872324],[-75.467951,37.851328],[-75.514921,37.799149],[-75.581333,37.683593],[-75.586136,37.660653],[-75.610808,37.605909],[-75.612237,37.585602],[-75.608123,37.578018],[-75.595716,37.576657],[-75.594044,37.569698],[-75.63337,37.52214],[-75.666178,37.472124],[-75.66179,37.455028],[-75.665957,37.439209],[-75.697914,37.405301],[-75.720739,37.373129],[-75.727335,37.360346],[-75.726691,37.350127],[-75.735829,37.335426],[-75.765401,37.305596],[-75.778817,37.297176],[-75.784634,37.300976],[-75.798448,37.296285],[-75.79083,37.276207],[-75.799343,37.251779],[-75.789929,37.228134],[-75.804446,37.208011],[-75.800755,37.197297],[-75.897298,37.118037],[-75.912308,37.115154],[-75.92552,37.133601],[-75.945872,37.120514],[-75.97043,37.118608],[-75.978083,37.157338],[-76.013071,37.205366],[-76.010535,37.231579],[-76.025753,37.257407],[-76.023664,37.268971],[-76.015507,37.280874],[-76.023475,37.289067],[-76.018645,37.31782],[-76.014251,37.331943],[-75.987122,37.368548],[-75.97997,37.404608],[-75.983105,37.415802],[-75.981624,37.434116],[-75.960877,37.467562],[-75.963326,37.481785],[-75.958966,37.500133],[-75.940318,37.534582],[-75.937665,37.549652],[-75.941182,37.563839],[-75.924756,37.600215],[-75.909586,37.622671],[-75.868481,37.668224],[-75.868355,37.687609],[-75.859262,37.703111],[-75.837685,37.712985],[-75.827922,37.737986],[-75.812155,37.749502],[-75.803041,37.762464],[-75.818125,37.791698],[-75.784599,37.806826],[-75.743097,37.806656],[-75.73588,37.816561],[-75.723224,37.820124],[-75.71659,37.826696],[-75.709114,37.8477],[-75.689837,37.861817],[-75.685293,37.873341],[-75.687584,37.88634],[-75.709626,37.900622],[-75.753048,37.896605],[-75.758796,37.897615],[-75.757694,37.903912],[-75.712065,37.936082],[-75.704318,37.92901],[-75.693942,37.930362],[-75.669711,37.950796],[-75.655681,37.945435],[-75.647606,37.947027],[-75.648229,37.966775],[-75.638221,37.979397],[-75.629532,37.975966],[-75.633712,37.983057],[-75.624342,37.994208],[-75.242266,38.027209]]],[[[-77.041898,38.741514],[-77.041398,38.724515],[-77.045498,38.714315],[-77.053199,38.709915],[-77.079499,38.709515],[-77.1059,38.696815],[-77.132501,38.673816],[-77.135901,38.649817],[-77.1302,38.635017],[-77.157501,38.636417],[-77.174902,38.624217],[-77.202002,38.617217],[-77.216303,38.637817],[-77.240604,38.638917],[-77.246704,38.635217],[-77.247003,38.590618],[-77.26443,38.582845],[-77.26083,38.56533],[-77.276603,38.54712],[-77.276303,38.53962],[-77.283503,38.525221],[-77.310334,38.493926],[-77.322622,38.467131],[-77.32544,38.44885],[-77.310719,38.397669],[-77.317288,38.383576],[-77.296077,38.369797],[-77.279633,38.339444],[-77.265295,38.333165],[-77.240072,38.331598],[-77.162692,38.345994],[-77.138224,38.367917],[-77.08481,38.368297],[-77.069956,38.377895],[-77.056032,38.3962],[-77.043526,38.400548],[-77.011827,38.374554],[-77.016932,38.341697],[-77.030683,38.311623],[-77.026304,38.302685],[-76.99767,38.278047],[-76.981372,38.274214],[-76.96215,38.256486],[-76.957417,38.236341],[-76.967335,38.227185],[-76.962311,38.214075],[-76.937134,38.202384],[-76.910832,38.197073],[-76.875272,38.172207],[-76.838795,38.163476],[-76.788445,38.169199],[-76.760241,38.166581],[-76.743064,38.156988],[-76.738938,38.14651],[-76.721722,38.137635],[-76.704048,38.149264],[-76.701297,38.155718],[-76.684892,38.156497],[-76.665127,38.147638],[-76.643448,38.14825],[-76.629476,38.15305],[-76.613939,38.148587],[-76.604131,38.128771],[-76.600937,38.110084],[-76.579497,38.09487],[-76.543155,38.076971],[-76.535919,38.069532],[-76.516547,38.026566],[-76.469343,38.013544],[-76.462542,37.998572],[-76.416299,37.966828],[-76.343848,37.947345],[-76.265998,37.91138],[-76.236725,37.889174],[-76.251358,37.833072],[-76.275178,37.812664],[-76.282592,37.814109],[-76.284904,37.822308],[-76.293525,37.822717],[-76.307482,37.81235],[-76.310307,37.794849],[-76.306489,37.788646],[-76.312108,37.750522],[-76.304917,37.729913],[-76.312858,37.720338],[-76.300067,37.695364],[-76.302545,37.689],[-76.324808,37.676983],[-76.339892,37.655966],[-76.332562,37.645817],[-76.292534,37.636098],[-76.279447,37.618225],[-76.28037,37.613715],[-76.309174,37.621892],[-76.36232,37.610368],[-76.381106,37.627003],[-76.390054,37.630326],[-76.399236,37.628636],[-76.472392,37.665772],[-76.489576,37.666201],[-76.497564,37.647056],[-76.510187,37.642324],[-76.536548,37.663574],[-76.537228,37.698892],[-76.560476,37.727827],[-76.584289,37.76889],[-76.602024,37.772731],[-76.651413,37.796239],[-76.680197,37.825654],[-76.701606,37.822677],[-76.72718,37.842263],[-76.747552,37.875864],[-76.765711,37.879274],[-76.784618,37.869569],[-76.766328,37.840437],[-76.723863,37.788503],[-76.689773,37.78519],[-76.683775,37.781391],[-76.683372,37.765507],[-76.677002,37.7561],[-76.61971,37.744795],[-76.61997,37.731271],[-76.597213,37.717269],[-76.597868,37.702918],[-76.579591,37.671508],[-76.583143,37.661986],[-76.574049,37.646781],[-76.542666,37.616857],[-76.527188,37.611315],[-76.435474,37.612807],[-76.420252,37.598686],[-76.410781,37.581815],[-76.383188,37.573056],[-76.357835,37.573699],[-76.300144,37.561734],[-76.29796,37.557636],[-76.302762,37.551295],[-76.330598,37.536391],[-76.348992,37.536548],[-76.360474,37.51924],[-76.352678,37.504913],[-76.32947,37.49492],[-76.306952,37.497488],[-76.297739,37.506863],[-76.297651,37.515424],[-76.293599,37.516499],[-76.281043,37.507821],[-76.265056,37.481365],[-76.252415,37.447274],[-76.245283,37.386839],[-76.24846,37.375135],[-76.264847,37.357399],[-76.272888,37.335174],[-76.275552,37.309964],[-76.282555,37.319107],[-76.308581,37.329366],[-76.31205,37.338088],[-76.337476,37.364014],[-76.387112,37.385061],[-76.393958,37.39594],[-76.415167,37.402133],[-76.418719,37.3978],[-76.418176,37.385064],[-76.437525,37.37975],[-76.445333,37.36646],[-76.406388,37.332924],[-76.38777,37.30767],[-76.381075,37.28534],[-76.369029,37.279311],[-76.352556,37.278334],[-76.349489,37.273963],[-76.392788,37.264973],[-76.417173,37.26395],[-76.421765,37.255198],[-76.429141,37.25331],[-76.475927,37.250543],[-76.48284,37.254831],[-76.493302,37.24947],[-76.50364,37.233856],[-76.494008,37.225408],[-76.471799,37.216016],[-76.394132,37.22515],[-76.389793,37.222981],[-76.396052,37.201087],[-76.389284,37.193503],[-76.391252,37.179887],[-76.399659,37.160272],[-76.381379,37.155711],[-76.35969,37.16858],[-76.348658,37.170655],[-76.343234,37.166207],[-76.34405,37.160367],[-76.334017,37.144223],[-76.311088,37.138495],[-76.292344,37.126615],[-76.271262,37.084544],[-76.304272,37.001378],[-76.315008,37.001683],[-76.318065,37.013846],[-76.34011,37.015212],[-76.348066,37.006747],[-76.383367,36.993347],[-76.411768,36.962847],[-76.428869,36.969947],[-76.452118,36.998163],[-76.452461,37.004603],[-76.448231,37.007705],[-76.464471,37.027547],[-76.518242,37.055351],[-76.526273,37.062947],[-76.526203,37.077773],[-76.536875,37.083942],[-76.555066,37.075859],[-76.564219,37.077507],[-76.579499,37.096627],[-76.618252,37.119347],[-76.62478,37.127091],[-76.622252,37.142146],[-76.604476,37.160034],[-76.606684,37.166674],[-76.610972,37.166994],[-76.623292,37.198738],[-76.649869,37.220914],[-76.689166,37.222866],[-76.730951,37.213813],[-76.74,37.195379],[-76.75047,37.190098],[-76.757765,37.191658],[-76.780532,37.209336],[-76.801023,37.206043],[-76.802511,37.198308],[-76.796905,37.189404],[-76.756899,37.161582],[-76.747632,37.150548],[-76.73032,37.145395],[-76.715295,37.148035],[-76.696735,37.174403],[-76.691918,37.195731],[-76.685614,37.198851],[-76.663774,37.173875],[-76.67147,37.158739],[-76.671588,37.14206],[-76.666542,37.138179],[-76.656894,37.109843],[-76.669822,37.06426],[-76.662558,37.045748],[-76.646013,37.036228],[-76.612124,37.035604],[-76.586491,37.02874],[-76.562923,37.003796],[-76.524853,36.983833],[-76.521006,36.973187],[-76.513363,36.968057],[-76.500355,36.965212],[-76.487559,36.952372],[-76.482407,36.917364],[-76.483369,36.896239],[-76.469914,36.882898],[-76.454692,36.884077],[-76.453941,36.89274],[-76.441605,36.906116],[-76.407507,36.897444],[-76.387567,36.899547],[-76.385867,36.923247],[-76.345569,36.924531],[-76.344663,36.919313],[-76.328864,36.918447],[-76.330765,36.938647],[-76.327365,36.959447],[-76.315867,36.955351],[-76.297663,36.968147],[-76.267962,36.964547],[-76.22166,36.939547],[-76.139557,36.923047],[-76.095508,36.908817],[-76.058154,36.916947],[-76.033454,36.931946],[-76.013753,36.930746],[-75.996252,36.922047],[-75.94955,36.76115],[-75.921748,36.692051],[-75.890946,36.630753],[-75.874145,36.583853],[-75.867044,36.550754],[-76.915897,36.552093],[-76.916048,36.543815],[-77.152691,36.544078],[-77.16966,36.547315],[-77.205156,36.544581],[-78.245462,36.544411],[-78.529722,36.540981],[-80.122183,36.542646],[-80.295243,36.543973],[-80.704831,36.562319],[-80.837089,36.559154],[-81.003802,36.563629],[-81.176712,36.571926],[-81.442228,36.576822],[-81.600934,36.587019],[-81.677535,36.588117],[-81.6469,36.611918],[-81.922644,36.616213],[-81.934144,36.594213],[-83.248933,36.593827],[-83.2763,36.598187],[-83.55681,36.597384],[-83.675413,36.600814],[-83.649513,36.616683],[-83.645213,36.624183],[-83.628913,36.624083],[-83.607913,36.637083],[-83.577312,36.641784],[-83.562612,36.651284],[-83.541812,36.656584],[-83.529612,36.666184],[-83.498011,36.670485],[-83.466483,36.6647],[-83.423707,36.667385],[-83.395806,36.676786],[-83.386099,36.686589],[-83.307103,36.711387],[-83.194597,36.739487],[-83.136395,36.743088],[-83.127833,36.750828],[-83.126719,36.761],[-83.132477,36.764398],[-83.128494,36.775588],[-83.131694,36.781488],[-83.103092,36.806689],[-83.098492,36.814289],[-83.101792,36.829089],[-83.07519,36.840889],[-83.07259,36.854589],[-83.047589,36.851789],[-83.026887,36.855489],[-83.021887,36.849989],[-83.009222,36.847295],[-82.998376,36.85663],[-82.970253,36.857686],[-82.951685,36.866152],[-82.907774,36.874706],[-82.906325,36.87974],[-82.879492,36.889085],[-82.870068,36.901735],[-82.877473,36.90796],[-82.858635,36.927785],[-82.861282,36.944848],[-82.856099,36.952471],[-82.87023,36.965498],[-82.868455,36.976481],[-82.862926,36.979975],[-82.857936,36.978276],[-82.853729,36.985178],[-82.845002,36.983812],[-82.836008,36.988837],[-82.830802,36.993445],[-82.828592,37.005707],[-82.782144,37.008242],[-82.759175,37.027333],[-82.747981,37.025214],[-82.743684,37.041397],[-82.722472,37.045101],[-82.727022,37.073019],[-82.718353,37.075706],[-82.717204,37.079544],[-82.724954,37.091905],[-82.721617,37.101276],[-82.726449,37.114985],[-82.722097,37.120168],[-82.684601,37.135835],[-82.676765,37.134965],[-82.651646,37.151908],[-82.633493,37.154264],[-82.592451,37.182847],[-82.550372,37.204458],[-82.531576,37.209163],[-82.528746,37.213742],[-82.520117,37.212906],[-82.498858,37.227044],[-82.491486,37.225086],[-82.487317,37.230578],[-82.457016,37.238288],[-82.449164,37.243908],[-82.350948,37.267077],[-82.342068,37.274109],[-82.341849,37.280886],[-82.324619,37.28318],[-82.309415,37.300066],[-81.968297,37.537798],[-81.969279,37.534325],[-81.959362,37.53522],[-81.953524,37.528056],[-81.943981,37.5303],[-81.94766,37.52508],[-81.943693,37.521212],[-81.944756,37.513657],[-81.938749,37.512902],[-81.933088,37.518968],[-81.926391,37.514207],[-81.941151,37.509483],[-81.943912,37.502929],[-81.951831,37.50205],[-81.953264,37.491763],[-81.964986,37.493488],[-81.977593,37.484603],[-81.992916,37.482969],[-81.995649,37.469833],[-81.987006,37.454878],[-81.976176,37.457186],[-81.965582,37.446918],[-81.949367,37.445687],[-81.945765,37.440214],[-81.935621,37.438397],[-81.940553,37.429058],[-81.93695,37.41992],[-81.923481,37.411379],[-81.930042,37.405291],[-81.928778,37.393845],[-81.936744,37.38073],[-81.926697,37.364618],[-81.928497,37.360645],[-81.916678,37.349346],[-81.899495,37.341102],[-81.893773,37.330105],[-81.880886,37.331146],[-81.860267,37.315715],[-81.865429,37.31012],[-81.859624,37.304765],[-81.856032,37.306742],[-81.853551,37.287701],[-81.849949,37.285227],[-81.838762,37.286343],[-81.834432,37.285416],[-81.83447,37.281763],[-81.819625,37.279411],[-81.805382,37.285622],[-81.793595,37.284838],[-81.793639,37.282188],[-81.789294,37.284416],[-81.774747,37.274847],[-81.76022,37.275254],[-81.745505,37.26133],[-81.744291,37.244178],[-81.739277,37.238837],[-81.723061,37.240493],[-81.716248,37.234321],[-81.71573,37.228771],[-81.695113,37.21357],[-81.683544,37.211452],[-81.683268,37.205649],[-81.678603,37.202467],[-81.5536,37.208443],[-81.545211,37.220165],[-81.508786,37.232564],[-81.498874,37.258025],[-81.492287,37.25096],[-81.480144,37.251121],[-81.449068,37.269583],[-81.416663,37.273214],[-81.40506,37.298794],[-81.398185,37.302965],[-81.394287,37.316411],[-81.388132,37.319903],[-81.374455,37.318614],[-81.362156,37.337687],[-81.320105,37.299323],[-81.225104,37.234874],[-81.167029,37.262881],[-81.112596,37.278497],[-80.979589,37.302279],[-80.981322,37.293465],[-80.966556,37.292158],[-80.947896,37.295872],[-80.900535,37.315],[-80.868986,37.338573],[-80.849451,37.346909],[-80.883248,37.383933],[-80.862761,37.411829],[-80.865148,37.419927],[-80.859563,37.429558],[-80.846324,37.423394],[-80.837678,37.425658],[-80.808769,37.406271],[-80.806129,37.398074],[-80.784188,37.394587],[-80.770082,37.372363],[-80.705203,37.394618],[-80.645893,37.422147],[-80.63439,37.431227],[-80.622664,37.433307],[-80.552036,37.473563],[-80.511391,37.481672],[-80.492981,37.457749],[-80.49728,37.444779],[-80.494867,37.43507],[-80.475601,37.422949],[-80.371952,37.474069],[-80.36317,37.480001],[-80.366838,37.484879],[-80.309331,37.50288],[-80.299789,37.508271],[-80.282385,37.533517],[-80.291644,37.536505],[-80.309346,37.527381],[-80.330306,37.536244],[-80.312393,37.546239],[-80.328504,37.564315],[-80.258919,37.595499],[-80.240272,37.606961],[-80.220984,37.627767],[-80.267228,37.646011],[-80.279372,37.657077],[-80.296138,37.691783],[-80.253077,37.725899],[-80.252024,37.729825],[-80.262765,37.738336],[-80.257411,37.756084],[-80.251622,37.755866],[-80.246902,37.768309],[-80.230458,37.778305],[-80.217634,37.776775],[-80.215892,37.781989],[-80.227965,37.791714],[-80.227092,37.798886],[-80.218611,37.809783],[-80.206482,37.81597],[-80.199633,37.827507],[-80.179391,37.839751],[-80.183062,37.850646],[-80.176712,37.854029],[-80.162202,37.875122],[-80.148951,37.886892],[-80.141947,37.882616],[-80.12362,37.897943],[-80.117747,37.89772],[-80.118967,37.903614],[-80.102931,37.918911],[-80.096563,37.918112],[-80.074514,37.942221],[-80.04841,37.957481],[-79.999384,37.995842],[-79.995901,38.005791],[-79.973701,38.032556],[-79.954369,38.080397],[-79.92633,38.107151],[-79.938051,38.110759],[-79.944843,38.131585],[-79.933751,38.135508],[-79.925512,38.150237],[-79.918662,38.15479],[-79.914884,38.167524],[-79.917924,38.168399],[-79.916622,38.177994],[-79.921026,38.179954],[-79.91441,38.188418],[-79.898426,38.193045],[-79.888045,38.20736],[-79.850324,38.233329],[-79.846445,38.240003],[-79.835124,38.241892],[-79.830882,38.249687],[-79.817149,38.249511],[-79.811987,38.260401],[-79.806333,38.259193],[-79.790134,38.267654],[-79.789791,38.281167],[-79.795448,38.290228],[-79.802778,38.292073],[-79.810115,38.305037],[-79.808711,38.309429],[-79.79655,38.32348],[-79.77309,38.335529],[-79.764432,38.356514],[-79.740615,38.354101],[-79.725973,38.363229],[-79.72679,38.370832],[-79.730494,38.372217],[-79.72635,38.38707],[-79.706634,38.41573],[-79.689675,38.431439],[-79.691478,38.446282],[-79.688365,38.45687],[-79.698929,38.469869],[-79.693424,38.481011],[-79.697572,38.487223],[-79.692273,38.496474],[-79.682974,38.501317],[-79.680374,38.510617],[-79.670474,38.507717],[-79.663474,38.514117],[-79.662974,38.518717],[-79.672974,38.528717],[-79.666874,38.538317],[-79.669275,38.549516],[-79.665075,38.560916],[-79.659275,38.562416],[-79.659375,38.572616],[-79.649075,38.591515],[-79.53827,38.551817],[-79.521469,38.533918],[-79.476638,38.457228],[-79.312276,38.411876],[-79.288432,38.42096],[-79.282971,38.418095],[-79.279678,38.424173],[-79.282762,38.431647],[-79.267414,38.438322],[-79.254435,38.455949],[-79.242641,38.454168],[-79.240059,38.469841],[-79.225669,38.476471],[-79.219067,38.487441],[-79.210591,38.492913],[-79.206959,38.503522],[-79.210959,38.507422],[-79.205859,38.524521],[-79.176658,38.56552],[-79.170958,38.56812],[-79.170858,38.574119],[-79.158657,38.592319],[-79.159158,38.601219],[-79.151257,38.620618],[-79.131057,38.653217],[-79.122256,38.659817],[-79.106356,38.656217],[-79.092955,38.659517],[-79.084355,38.686516],[-79.090755,38.692515],[-79.092755,38.702315],[-79.072555,38.747513],[-79.057554,38.760213],[-79.055654,38.770913],[-79.051554,38.772613],[-79.054954,38.785713],[-79.046554,38.792113],[-79.029253,38.791013],[-79.023053,38.798613],[-79.024053,38.809212],[-79.019553,38.817912],[-79.006152,38.824512],[-78.998171,38.847353],[-78.993997,38.850102],[-78.869276,38.762991],[-78.786025,38.887187],[-78.759085,38.900529],[-78.738921,38.927283],[-78.718482,38.934267],[-78.71981,38.905907],[-78.717178,38.904296],[-78.704323,38.915231],[-78.69738,38.915602],[-78.670679,38.9338],[-78.646589,38.968138],[-78.638423,38.966819],[-78.625672,38.982575],[-78.620453,38.982601],[-78.618676,38.974082],[-78.611184,38.976134],[-78.601655,38.964603],[-78.570462,39.001552],[-78.550467,39.018065],[-78.571901,39.031995],[-78.540216,39.060631],[-78.522714,39.071062],[-78.495984,39.09898],[-78.478426,39.109843],[-78.475376,39.107469],[-78.459869,39.113351],[-78.439429,39.132146],[-78.427294,39.152726],[-78.403697,39.167451],[-78.426315,39.182762],[-78.428697,39.187217],[-78.424292,39.192156],[-78.438651,39.198049],[-78.405585,39.231176],[-78.404214,39.241214],[-78.399669,39.243874],[-78.418584,39.256065],[-78.414204,39.26391],[-78.367242,39.310148],[-78.364686,39.317312],[-78.35894,39.319484],[-78.346301,39.339108],[-78.347634,39.34272],[-78.339284,39.348605],[-78.34048,39.353492],[-78.366867,39.35929],[-78.343214,39.388807],[-78.350014,39.392861],[-78.349436,39.397252],[-78.359918,39.409028],[-78.346718,39.427618],[-78.353227,39.436792],[-78.346061,39.445613],[-78.345143,39.459484],[-78.349476,39.462205],[-78.347087,39.466012],[-77.828157,39.132329],[-77.822182,39.139985],[-77.821413,39.15241],[-77.805991,39.172421],[-77.793631,39.210125],[-77.771415,39.236776],[-77.767277,39.24938],[-77.770589,39.249393],[-77.770669,39.255262],[-77.762844,39.258445],[-77.747287,39.295001],[-77.730047,39.315666],[-77.719029,39.321125],[-77.692984,39.31845],[-77.677123,39.324077],[-77.650997,39.310784],[-77.615939,39.302722],[-77.592739,39.30129],[-77.566596,39.306121],[-77.561826,39.301913],[-77.560854,39.286152],[-77.540581,39.264947],[-77.486813,39.247586],[-77.45812,39.22614],[-77.459883,39.218682],[-77.47361,39.208407],[-77.477362,39.190495],[-77.505162,39.18205],[-77.516426,39.170891],[-77.527282,39.146236],[-77.524559,39.127821],[-77.519929,39.120925],[-77.4858,39.109303],[-77.458202,39.073723],[-77.38568,39.061987],[-77.340287,39.062991],[-77.293105,39.046508],[-77.274706,39.034091],[-77.248403,39.026909],[-77.244603,39.020109],[-77.255703,39.002409],[-77.249203,38.993709],[-77.249803,38.985909],[-77.234803,38.97631],[-77.232268,38.979502],[-77.221502,38.97131],[-77.197502,38.96681],[-77.183002,38.96881],[-77.148179,38.965002],[-77.1034,38.912911],[-77.0902,38.904211],[-77.067299,38.899211],[-77.058254,38.880069],[-77.049099,38.870712],[-77.046599,38.874912],[-77.039099,38.868112],[-77.031698,38.850512],[-77.032798,38.841712],[-77.044199,38.840212],[-77.044899,38.834712],[-77.039199,38.832212],[-77.035798,38.814913],[-77.041898,38.741514]]]]},\"properties\":{\"name\":\"Virginia\",\"nation\":\"USA \"}}]}","volume":"121","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Angermeier, Paul L. 0000-0003-2864-170X biota@usgs.gov","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":166679,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":821709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stern, Marc J.","contributorId":264592,"corporation":false,"usgs":false,"family":"Stern","given":"Marc","email":"","middleInitial":"J.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":821711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krometis, Leigh Anne","contributorId":264591,"corporation":false,"usgs":false,"family":"Krometis","given":"Leigh Anne","affiliations":[{"id":54511,"text":"Virginai Tech","active":true,"usgs":false}],"preferred":false,"id":821710,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hemby, Tyler L.","contributorId":264593,"corporation":false,"usgs":false,"family":"Hemby","given":"Tyler","email":"","middleInitial":"L.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":821712,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70217063,"text":"70217063 - 2021 - Hydrogeomorphological controls on reach‐scale distributions of cichlid nest sites in a small neotropical river","interactions":[],"lastModifiedDate":"2021-03-19T20:21:37.986406","indexId":"70217063","displayToPublicDate":"2020-12-20T06:41:12","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Hydrogeomorphological controls on reach‐scale distributions of cichlid nest sites in a small neotropical river","docAbstract":"The Cichlidae are among the most diversified families of fish in the Neotropics and represent an important component of aquatic biodiversity. Understanding cichlid nest‐site selection is important for assemblages facing uncertain futures due to species invasions and environmental change. This information could be used to predict how inter‐ and intraspecific competition for reproductive space may affect populations with changing community dynamics or to identify areas as targets for conservation. We investigated which hydrogeomorphological factors correlated to preferred nest sites of four native cichlid species in the Bladen River, Belize. We recorded the locations of nest sites and collected habitat data through the study reach, including flow velocity, depth, sediment type, fish cover type richness and distance to the bank. Nest locations and physical habitat data were used to construct spatially explicit habitat models using boosted regression trees (BRTs). The models provided statistically significant evidence that physical habitat variables influence the distribution of the nest sites. We found that all species except Archocentrus spilurus were associated with substrate, specifically sand. Thorichthys meeki was also associated with lower water velocities, whereas Cichlasoma salvini was influenced by all five variables. Vieja maculicauda and Archocentrus spilurus were both influenced by flow velocity, distance to bank and depth, although A. spilurus preferred deeper, slightly faster locations about the same distance to the bank. This study suggests that the spatial distribution of nest sites within this cichlid community is significantly different than random and is at least partially governed by physical controls.
","language":"English","publisher":"Wiley","doi":"10.1111/eff.12580","usgsCitation":"Buege, E.A., Esselman, P., and Praskievicz, S.J., 2021, Hydrogeomorphological controls on reach‐scale distributions of cichlid nest sites in a small neotropical river: Ecology of Freshwater Fish, v. 30, no. 2, p. 244-255, https://doi.org/10.1111/eff.12580.","productDescription":"12 p.","startPage":"244","endPage":"255","ipdsId":"IP-121602","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":381794,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Belize","otherGeospatial":"Monkey River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.132080078125,\n 16.251593732779515\n ],\n [\n -88.35205078124999,\n 16.251593732779515\n ],\n [\n -88.35205078124999,\n 17.13554114256562\n ],\n [\n -89.132080078125,\n 17.13554114256562\n ],\n [\n -89.132080078125,\n 16.251593732779515\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-12-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Buege, Emily A. 0000-0002-9141-529X","orcid":"https://orcid.org/0000-0002-9141-529X","contributorId":245987,"corporation":false,"usgs":false,"family":"Buege","given":"Emily","email":"","middleInitial":"A.","affiliations":[{"id":36730,"text":"University of Alabama","active":true,"usgs":false}],"preferred":false,"id":807454,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esselman, Peter C. 0000-0002-0085-903X","orcid":"https://orcid.org/0000-0002-0085-903X","contributorId":204291,"corporation":false,"usgs":true,"family":"Esselman","given":"Peter C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":807455,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Praskievicz, Sarah J. 0000-0002-9380-7625","orcid":"https://orcid.org/0000-0002-9380-7625","contributorId":245989,"corporation":false,"usgs":false,"family":"Praskievicz","given":"Sarah","email":"","middleInitial":"J.","affiliations":[{"id":49396,"text":"University of North Carolina-Greensboro","active":true,"usgs":false}],"preferred":false,"id":807456,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70217066,"text":"70217066 - 2021 - Development of genetic baseline information to support the conservation and management of wild Brook Trout in North Carolina","interactions":[],"lastModifiedDate":"2021-06-30T17:41:53.333707","indexId":"70217066","displayToPublicDate":"2020-12-20T06:35:58","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Development of genetic baseline information to support the conservation and management of wild Brook Trout in North Carolina","docAbstract":"Following centuries of declines, there is growing interest in conserving extant wild populations and reintroducing Brook Trout (Salvelinus fontinalis) populations of native ancestry. A population genetic baseline can enhance conservation outcomes and promote restoration success. Consequently, it is important to document existing patterns of genetic variation across the landscape and translate these data into an approachable format for fisheries managers. We genotyped 9,507 Brook Trout representing 467 wild collections at 12 microsatellite loci to establish a genetic baseline for North Carolina, USA. Rarefied allelic richness and observed heterozygosity, which reflect within‐population diversity, were low to moderate relative to levels typically observed at higher latitudes (means = 3.12 and 0.42, respectively). Effective population sizes varied widely, but were often very low (151 collections with an estimated Ne < 10). Despite decades of intensive stocking across the state, we found little to no evidence of hatchery introgression in most populations. Although genetic variation was significant at a variety of spatial scales (mean pairwise F’ST = 0.73), substantial genetic variation occurred between patches within individual watersheds. Analysis of molecular variance (AMOVA) found that a substantial portion (28.5%) of the observed genetic variation was attributed to differences among populations, with additional genetic variation among hydrological units (HUCs; 16.0%, 16.6%, 12.1%, and 9.4% of the overall variation among twelve‐, ten‐, eight‐, and six‐digit HUCs, respectively). We discuss a suite of potential applications for this type of genetic data to enhance management outcomes, such as conservation prioritization and selection of source stocks for reintroductions or genetic rescue.
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10569","usgsCitation":"Kazyak, D., Lubinski, B.A., Rash, J.M., Johnson, T.C., and King, T.L., 2021, Development of genetic baseline information to support the conservation and management of wild Brook Trout in North Carolina: North American Journal of Fisheries Management, v. 41, no. 3, p. 626-638, https://doi.org/10.1002/nafm.10569.","productDescription":"13 p.","startPage":"626","endPage":"638","ipdsId":"IP-101589","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":381793,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.860595703125,\n 36.53612263184686\n ],\n [\n -81.7822265625,\n 36.63316209558658\n ],\n [\n -83.84765625,\n 35.460669951495305\n ],\n [\n -84.375,\n 35.02999636902566\n ],\n [\n -81.03515625,\n 35.28150065789119\n ],\n [\n -80.7275390625,\n 34.813803317113155\n ],\n [\n -79.4970703125,\n 34.813803317113155\n ],\n [\n -78.44238281249999,\n 33.797408767572485\n ],\n [\n -76.2451171875,\n 34.994003757575776\n ],\n [\n -75.7177734375,\n 35.817813158696616\n ],\n [\n -75.860595703125,\n 36.53612263184686\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-12-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Kazyak, David C. 0000-0001-9860-4045","orcid":"https://orcid.org/0000-0001-9860-4045","contributorId":202481,"corporation":false,"usgs":true,"family":"Kazyak","given":"David C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":807465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lubinski, Barbara A. 0000-0003-3568-2569","orcid":"https://orcid.org/0000-0003-3568-2569","contributorId":202483,"corporation":false,"usgs":true,"family":"Lubinski","given":"Barbara","email":"","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":807466,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rash, Jacob M","contributorId":218128,"corporation":false,"usgs":false,"family":"Rash","given":"Jacob","email":"","middleInitial":"M","affiliations":[{"id":39760,"text":"Division of Inland Fisheries, North Carolina Wildlife Resources Commission","active":true,"usgs":false}],"preferred":false,"id":807467,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Thomas C","contributorId":245999,"corporation":false,"usgs":false,"family":"Johnson","given":"Thomas","email":"","middleInitial":"C","affiliations":[{"id":36454,"text":"North Carolina Wildlife Resources Commission","active":true,"usgs":false}],"preferred":false,"id":807468,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"King, Timothy L.","contributorId":199023,"corporation":false,"usgs":false,"family":"King","given":"Timothy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":807469,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70218000,"text":"70218000 - 2021 - A global perspective on the influence of the COVID-19 pandemic on freshwater fish biodiversity","interactions":[],"lastModifiedDate":"2021-02-11T19:35:21.921623","indexId":"70218000","displayToPublicDate":"2020-12-19T13:31:30","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"A global perspective on the influence of the COVID-19 pandemic on freshwater fish biodiversity","docAbstract":"The COVID-19 global pandemic and resulting effects on the economy and society (e.g., sheltering-in-place, alterations in transportation, changes in consumer behaviour, loss of employment) have yielded some benefits and risks to biodiversity. Here, we considered the ways the COVID-19 pandemic has influenced (or may influence) freshwater fish biodiversity (e.g., richness, abundance). In many cases, we could only consider potential impacts using documented examples (often from the media) of likely changes, because anecdotal observations are still emerging and data-driven studies are yet to be completed or even undertaken. We evaluated the potential for the pandemic to either mitigate or amplify widely acknowledged, pre-existing threats to freshwater fish biodiversity (i.e., invasive species, pollution, fragmentation, flow alteration, habitat loss and alteration, climate change, exploitation). Indeed, we identified examples spanning the extremes of positive and negative outcomes for almost all known threats. We also considered the pandemic's impact on freshwater fisheries demand, assessment, research, compliance monitoring, and management interventions (e.g., restoration), with disruptions being experienced in all domains. Importantly, we provide a forward-looking synthesis that considers the potential mechanisms and pathways by which the consequences of the pandemic may positively and negatively impact freshwater fishes over the longer term. We conclude with a candid assessment of the current management and policy responses and the extent to which they ensure freshwater fish populations and biodiversity are conserved for human and aquatic ecosystem benefits in perpetuity.
","language":"English","publisher":"Wiley","doi":"10.1016/j.biocon.2020.108932","usgsCitation":"Cooke, S.J., Twardek, W.M., Lynch, A.J., Cowx, I.G., Olden, J., Funge-Smith, S., Lorenzen, K., Arlinghaus, R., Chen, Y., Weyl, O.L., Nyboer, E.A., Pompeu, P.S., Carlson, S.M., Koehn, J.D., Pinder, A.C., Raghavan, R., Phang, S.C., Koning, A., Taylor, W., Bartley, D.M., and Britton, J.R., 2021, A global perspective on the influence of the COVID-19 pandemic on freshwater fish biodiversity: Biological Conservation, v. 253, https://doi.org/10.1016/j.biocon.2020.108932.","productDescription":"108932, 12 p.","startPage":"108932","ipdsId":"IP-122853","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":454056,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://linkinghub.elsevier.com/retrieve/pii/S0006320720309903","text":"External Repository"},{"id":383222,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"253","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cooke, Steve J.","contributorId":220492,"corporation":false,"usgs":false,"family":"Cooke","given":"Steve","email":"","middleInitial":"J.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":810177,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Twardek, William M.","contributorId":198272,"corporation":false,"usgs":false,"family":"Twardek","given":"William","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":810178,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lynch, Abigail J. 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":204271,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","middleInitial":"J.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":810179,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cowx, Ian G.","contributorId":37228,"corporation":false,"usgs":false,"family":"Cowx","given":"Ian","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":810214,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olden, Julian D.","contributorId":202893,"corporation":false,"usgs":false,"family":"Olden","given":"Julian D.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":810180,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Funge-Smith, Simon 0000-0001-9974-5333","orcid":"https://orcid.org/0000-0001-9974-5333","contributorId":245642,"corporation":false,"usgs":false,"family":"Funge-Smith","given":"Simon","email":"","affiliations":[{"id":32888,"text":"Food and Agriculture organization of the United Nations","active":true,"usgs":false}],"preferred":false,"id":810181,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lorenzen, Kai","contributorId":169476,"corporation":false,"usgs":false,"family":"Lorenzen","given":"Kai","email":"","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":810182,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Arlinghaus, Robert","contributorId":32425,"corporation":false,"usgs":false,"family":"Arlinghaus","given":"Robert","email":"","affiliations":[{"id":17980,"text":"Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany","active":true,"usgs":false}],"preferred":false,"id":810183,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Chen, Yushen","contributorId":250646,"corporation":false,"usgs":false,"family":"Chen","given":"Yushen","email":"","affiliations":[{"id":48136,"text":"Chinese Academy of Science","active":true,"usgs":false}],"preferred":false,"id":810184,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Weyl, Olaf L. F.","contributorId":250648,"corporation":false,"usgs":false,"family":"Weyl","given":"Olaf","email":"","middleInitial":"L. F.","affiliations":[{"id":48725,"text":"South African Institute for Aquatic Biodiversity","active":true,"usgs":false}],"preferred":false,"id":810185,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Nyboer, Elizabeth A.","contributorId":250650,"corporation":false,"usgs":false,"family":"Nyboer","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":810186,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Pompeu, Paulo S.","contributorId":203993,"corporation":false,"usgs":false,"family":"Pompeu","given":"Paulo","email":"","middleInitial":"S.","affiliations":[{"id":36790,"text":"Universidad Federal de Lavras, Department de Biologia","active":true,"usgs":false}],"preferred":false,"id":810187,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Carlson, Stephanie M.","contributorId":250652,"corporation":false,"usgs":false,"family":"Carlson","given":"Stephanie","email":"","middleInitial":"M.","affiliations":[{"id":6643,"text":"University of California - Berkeley","active":true,"usgs":false}],"preferred":false,"id":810188,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Koehn, John D.","contributorId":220481,"corporation":false,"usgs":false,"family":"Koehn","given":"John","email":"","middleInitial":"D.","affiliations":[{"id":27292,"text":"Arthur Rylah Institute for Environmental Research","active":true,"usgs":false}],"preferred":false,"id":810189,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Pinder, Adrian C.","contributorId":250654,"corporation":false,"usgs":false,"family":"Pinder","given":"Adrian","email":"","middleInitial":"C.","affiliations":[{"id":48716,"text":"Bournemouth University","active":true,"usgs":false}],"preferred":false,"id":810190,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Raghavan, Rajeev","contributorId":250656,"corporation":false,"usgs":false,"family":"Raghavan","given":"Rajeev","email":"","affiliations":[{"id":50216,"text":"Kerala University of Fisheries and Ocean Studies","active":true,"usgs":false}],"preferred":false,"id":810191,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Phang, Sui C.","contributorId":169462,"corporation":false,"usgs":false,"family":"Phang","given":"Sui","email":"","middleInitial":"C.","affiliations":[{"id":6714,"text":"Ohio State University, School of Earth Sciences, Columbus, Ohio, USA","active":true,"usgs":false}],"preferred":false,"id":810192,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Koning, Aaron A.","contributorId":250657,"corporation":false,"usgs":false,"family":"Koning","given":"Aaron A.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":810193,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Taylor, William W.","contributorId":49735,"corporation":false,"usgs":false,"family":"Taylor","given":"William W.","affiliations":[],"preferred":false,"id":810194,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Bartley, Devin M.","contributorId":15913,"corporation":false,"usgs":false,"family":"Bartley","given":"Devin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":810195,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Britton, J. Robert","contributorId":214429,"corporation":false,"usgs":false,"family":"Britton","given":"J.","email":"","middleInitial":"Robert","affiliations":[],"preferred":false,"id":810196,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}} ]}