Guadalupe Bass Micropterus treculii is an economically and ecologically important black bass species endemic to the Edwards Plateau ecoregion and the lower portions of the Colorado River in central Texas. It is considered a fluvial specialist and as such, there are concerns that the increasing demands being placed upon the water resources of central Texas by growing human populations have the potential to negatively impact Guadalupe Bass populations. Therefore, this study assessed the relationship between Guadalupe Bass growth, feeding ecology, and streamflow. Sagittal otoliths were removed from Guadalupe Bass collected from throughout their range during 2015-2017 and used to estimate the age and back-calculate the growth trajectory of each individual. Additionally, young-of-year (YOY) Guadalupe Bass were collected every 10-14 days from two second-order streams, the North Llano River and South Llano River, in the Colorado Basin on the Edwards Plateau. Stomach contents of these individuals were identified and the effect of streamflow on the occurrence of the taxa comprising the stomach contents assessed.
Guadalupe Bass growth was greater in the Colorado and Guadalupe River basins, independent of stream order, and tended to increase with increasing stream order within a basin. Growth was higher in higher stream orders and during years with stable and lower spring and summer monthly median flows, lower minimum and maximum flows, slower rise and fall rates, and higher baseflows. Growth was not influenced by years with higher monthly median flows in winter. These results would seem to contradict previous research, but more likely represent a fuller picture of how Guadalupe Bass respond to flow conditions. The disagreement between the current study and past studies seem to be attributable, at least in part, to the fact that previous studies were conducted during a period of extensive drought, while the current study was conducted during relatively wet conditions. Taken together with previous studies, the current study suggests that Guadalupe Bass growth is sensitive to flow conditions and is lower in years with flow conditions that fall outside a basin- and stream order-specific optimal range for the species.
A total of 21 unique taxonomic groups were recovered from the stomachs of YOY Guadalupe Bass collected from the North Llano River and South Llano River. Aquatic insects, especially larval mayflies (Ephemeroptera), damselflies (Odanata: Zygoptera), and caddisflies (Trichoptera), were the most frequently encountered taxa. While there was no difference between the two rivers in stomach content composition, there was a strong longitudinal gradient in both systems with aquatic insects predominating at upstream sample sites and fishes being more common at downstream sites. Stream discharge during the 24 hours prior to collection did not have any influence on the probability of a taxa being found in Guadalupe Bass stomachs.
The results of this study support efforts to manage Guadalupe Bass populations at a sub-watershed scale and suggests that populations occupying the same stream order within a basin are likely to have similar responses to annual flow conditions. In addition, these results indicate that the lower Colorado River population may inhabit a unique set of conditions that has supported the development of a trophy Guadalupe Bass fishery. Further, this study highlights the need to incorporate a sufficient range of annual flow conditions to ensure that the influence of stream flow on fish growth is adequately assessed. While interannual variation in growth rates seem to be capable of serving as a proxy for recruitment and year-class strength, long-term monitoring of recruitment paired with assessment of growth is necessary to further clarify the relationship between population density, flow regime, recruitment and growth and allow the construction of predictive models.
No abstract available.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2019 Asian Carp Monitoring and Response Plan","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","publisher":"Asian Carp Regional Coordinating Committee","usgsCitation":"Hop, K.D., Strassman, A.C., Vallazza, J.M., and Knights, B.C., 2019, USGS geospatial support for unified fishing method: Asian Carp Monitoring and Response Plan, 4 p.","productDescription":"4 p.","startPage":"105","endPage":"108","ipdsId":"IP-105553","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":399400,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":399399,"type":{"id":15,"text":"Index Page"},"url":"https://www.asiancarp.us/PlansReports.html","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Illinois","otherGeospatial":"Illinois River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.648193359375,\n 38.92522904714054\n ],\n [\n -88.099365234375,\n 38.92522904714054\n ],\n [\n -88.099365234375,\n 41.72213058512578\n ],\n [\n -90.648193359375,\n 41.72213058512578\n ],\n [\n -90.648193359375,\n 38.92522904714054\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hop, Kevin D. 0000-0002-9928-4773 khop@usgs.gov","orcid":"https://orcid.org/0000-0002-9928-4773","contributorId":1438,"corporation":false,"usgs":true,"family":"Hop","given":"Kevin","email":"khop@usgs.gov","middleInitial":"D.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":841211,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Strassman, Andrew C. 0000-0002-9792-7181 astrassman@usgs.gov","orcid":"https://orcid.org/0000-0002-9792-7181","contributorId":4575,"corporation":false,"usgs":true,"family":"Strassman","given":"Andrew","email":"astrassman@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":841212,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vallazza, Jonathan M. 0000-0003-2367-4887 jvallazza@usgs.gov","orcid":"https://orcid.org/0000-0003-2367-4887","contributorId":149362,"corporation":false,"usgs":true,"family":"Vallazza","given":"Jonathan","email":"jvallazza@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":841213,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Knights, Brent C. 0000-0001-8526-8468 bknights@usgs.gov","orcid":"https://orcid.org/0000-0001-8526-8468","contributorId":2906,"corporation":false,"usgs":true,"family":"Knights","given":"Brent","email":"bknights@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":841214,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70263751,"text":"70263751 - 2019 - Our precious wildlife resources: Further thoughts on the North American model","interactions":[],"lastModifiedDate":"2025-02-21T16:07:05.282725","indexId":"70263751","displayToPublicDate":"2019-01-01T10:02:03","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3587,"text":"The Wildlife Professional","active":true,"publicationSubtype":{"id":10}},"title":"Our precious wildlife resources: Further thoughts on the North American model","docAbstract":"No abstract available.
","language":"English","publisher":"The Wildlife Society","usgsCitation":"Organ, J.F., Mahoney, S.P., and Geist, V., 2019, Our precious wildlife resources: Further thoughts on the North American model: The Wildlife Professional, v. 13, no. 1, p. 30-33.","productDescription":"4 p.","startPage":"30","endPage":"33","ipdsId":"IP-101857","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":482338,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Organ, John F. 0000-0002-0959-0639 jorgan@usgs.gov","orcid":"https://orcid.org/0000-0002-0959-0639","contributorId":189047,"corporation":false,"usgs":true,"family":"Organ","given":"John","email":"jorgan@usgs.gov","middleInitial":"F.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":928124,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mahoney, Shane P.","contributorId":199084,"corporation":false,"usgs":false,"family":"Mahoney","given":"Shane","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":928125,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Geist, Valerius","contributorId":351189,"corporation":false,"usgs":false,"family":"Geist","given":"Valerius","affiliations":[{"id":83935,"text":"University of Calgary (Emeritus)","active":true,"usgs":false}],"preferred":false,"id":928126,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70227953,"text":"70227953 - 2019 - Application strategy for an anthraquinone-based repellent and the protection of soybeans from Canada goose depredation","interactions":[],"lastModifiedDate":"2022-02-02T16:12:18.988881","indexId":"70227953","displayToPublicDate":"2019-01-01T10:02:01","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1914,"text":"Human-Wildlife Interactions","active":true,"publicationSubtype":{"id":10}},"title":"Application strategy for an anthraquinone-based repellent and the protection of soybeans from Canada goose depredation","docAbstract":"Agricultural crops can sustain extensive damage caused by Canada geese (Branta canadensis) when these crops are planted near wetlands or brood-rearing sites. From 2000 to 2015, South Dakota Game, Fish and Parks spent >$5.6 million to manage damages caused by Canada geese to agricultural crops (primarily soybeans) in South Dakota, USA. For the purpose of developing a repellent application strategy for nonlethal goose damage management, we comparatively evaluated the width of anthraquinone applications (i.e., 9.4 L Flight Control® Plus goose repellent/ha [active ingredient: 50% 9,10-anthraquinone] at 0–36 m versus 0–73 m perpendicular to the edge of wetlands in 2014), the timing of the first repellent application (i.e., 9.4 L Flight Control Plus goose repellent/ha at 50% versus 75% seedling emergence in 2015), the yield of soybeans (Glycine max) within repellent-treated and untreated subplots, and anthraquinone chemical residues in Day County, South Dakota. Soybean yield was greater in subplots 73 m from the water’s edge than that in the 36-m subplots (P < 0.02). Among subplots first sprayed at 50% seedling emergence, soybean yield was greater at 73 m and 82 m than that at 36 m (P < 0.005). In contrast, we observed no difference in yield at 36 m, 73 m, or 82 m in the subplots first sprayed at 72% seedling emergence (P > 0.09). We therefore conclude that goose damages were effectively managed in subplots first sprayed at 72% seedling emergence. Anthraquinone residues averaged 674 and 629 ppm anthraquinone upon the first application of the repellent (June to July), 22 and 35 ppm anthraquinone in the mid-season hay (August to September), and 36 and 28 ppb anthraquinone in the harvested seed (October to November) in 2014 and 2015, respectively. Our results suggest that a 73-m bandwidth of anthraquinone-based repellents first applied at approximately 72% or 65–85% seedling emergence can protect soybeans from Canada goose depredation.
Historically, eastern ponderosa pine (Pinus ponderosa) forests were described as sparse patches of old-growth trees maintained by frequent, low-severity fires; however, in recent decades, there have been a number of large mixed-severity wildfires throughout the range of these forests. Wildlife responses to severe fire disturbance in eastern ponderosa pine forests are not well understood. Our study investigates how cavity-nesting bird species in an eastern ponderosa pine forest are impacted by burn severity. The objectives of our study were to: (1) identify the community composition of cavity-nesting birds in a 27 y old burn of mixed severity, (2) assess how habitat variables important to cavity-nesting birds differ in the mixed-severity fire, and (3) determine what habitat variables best predict bird occurrence 27 y after mixed-severity fire. We surveyed 56 sites across four burn severity classes, ranging from unburned to severely burned forest, in the Pine Ridge region of Nebraska. We measured multiple habitat characteristics (tree and snag diameter at breast height (DBH), coarse woody debris (CWD), tree and snag density, shrub height, and shrub cover) in May–August 2016 and conducted bird count surveys between 25 May and 8 June 2016. Cavity-nesting bird species' occurrence varied among the burn severity variables. Burn severity class (unburned, low severity, moderate severity, high severity) was a significant predictor of habitat characteristics for cavity-nesting birds, including tree density, snag density, mean snag DBH, variance in DBH, and CWD, which also was the best indicator of cavity-nesting bird community composition. We report evidence that mixed-severity wildfires in eastern ponderosa pine forests create variation in habitat characteristics and cavity-nesting bird occurrence.
","language":"English","publisher":"BioOne","doi":"10.1674/0003-0031-181.1.1","usgsCitation":"Keele, E.C., Donovan, V.M., Roberts, C.P., Nodskov, S.M., Wonkka, C., Allen, C.R., Powell, L., Wedin, D.A., Angeler, D., and Twidwell, D., 2019, Relationships between wildfire burn severity, cavity-nesting bird assemblages and habitat in an eastern ponderosa pine forest: American Midland Naturalist, v. 18, no. 16, p. 1-17, https://doi.org/10.1674/0003-0031-181.1.1.","productDescription":"17 p.","startPage":"1","endPage":"17","ipdsId":"IP-091278","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":380191,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"Fort Robinson State Park, Peterson Wildlife Management Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.6505126953125,\n 42.63118026854378\n ],\n [\n -103.40229034423828,\n 42.63118026854378\n ],\n [\n -103.40229034423828,\n 42.725325908230396\n ],\n [\n -103.6505126953125,\n 42.725325908230396\n ],\n [\n -103.6505126953125,\n 42.63118026854378\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"18","issue":"16","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Keele, E. 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G.","contributorId":240686,"corporation":false,"usgs":false,"family":"Angeler","given":"D. G.","affiliations":[{"id":12665,"text":"University of Cape Town","active":true,"usgs":false}],"preferred":false,"id":804051,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Twidwell, D.","contributorId":244285,"corporation":false,"usgs":false,"family":"Twidwell","given":"D.","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":804052,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70203793,"text":"70203793 - 2019 - Patterns, pace and processes of water-quality variability: Examples from a long-studied estuary","interactions":[],"lastModifiedDate":"2019-06-13T08:51:18","indexId":"70203793","displayToPublicDate":"2019-01-01T08:47:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Patterns, pace and processes of water-quality variability: Examples from a long-studied estuary","docAbstract":"Environmental time series have rich information content that is invaluable for measuring and understanding changes over time and guiding policies to manage change. I extracted information from measurements of 10 water‐quality constituents in upper San Francisco Bay from 1975 to 2016, one of the longest observational records in a U.S. estuary. Changes were detected at every time scale captured by monthly sampling. Long‐term trends included increased ammonium (+53%), nitrate + nitrate (+50%), silicate (+14%), Secchi depth (+42%), and decreased chlorophyll a (Chl a) (−74%) and suspended particulate matter (−45%). Changes at the decadal scale included abrupt shifts (Chl a, nitrate + nitrite) and oscillations between shorter trends of increase and decrease (Secchi depth, phosphate). Long‐term trends were not expressed equally across all seasons, and seasonal patterns of change varied across constituents. These examples illustrate key features of environmental variability at the land–sea interface: (1) water‐quality components change continually at time scales from months to decades; (2) patterns of seasonal, multiyear, and multidecadal change are complex and vary across constituents; (3) primary drivers of change are freshwater inflow, the master regulator of estuarine dynamics, and human activities such as river damming, water diversions, wastewater discharge, environmental policies, and species introductions; (4) extracting the full information content of time series requires multiple analyses, each revealing a different layer of insight into how changes develop over time; (5) water‐quality variability is nonstationary, so future changes cannot be forecast reliably; (6) repeated observation is an essential method of Earth system science with applications in the design and performance measures of environmental policies.
No abstract available.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Strategic bird monitoring guidelines for the northern Gulf of Mexico","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","publisher":"University Press of Mississippi","usgsCitation":"Wilson, R., Woodrey, M.S., Fournier, A., Gleason, J., and Lyons, J.E., 2019, Why strategic bird monitoring plan for the Gulf of Mexico?: Mississippi Agricultural and Forestry Experiment Station Research Bulletin 1228, 14 p.","productDescription":"14 p.","ipdsId":"IP-100639","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":386178,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":386165,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://gomamn.org/wp-content/uploads/2020/02/chapter1-1.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Alabama, Florida, Louisiana, Mississippi, Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.37597656249999,\n 25.443274612305746\n ],\n [\n -82.44140625,\n 29.99300228455108\n ],\n [\n -85.69335937499999,\n 30.90222470517144\n ],\n [\n -88.5498046875,\n 31.353636941500987\n ],\n [\n -91.7138671875,\n 31.052933985705163\n ],\n [\n -94.921875,\n 30.372875188118016\n ],\n [\n -97.1630859375,\n 29.267232865200878\n ],\n [\n -98.7890625,\n 26.31311263768267\n ],\n [\n -97.55859375,\n 25.878994400196202\n ],\n [\n -94.2626953125,\n 24.647017162630366\n ],\n [\n -87.451171875,\n 23.805449612314625\n ],\n [\n -81.9140625,\n 24.246964554300924\n ],\n [\n -80.37597656249999,\n 25.443274612305746\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wilson, R. Randy","contributorId":259210,"corporation":false,"usgs":false,"family":"Wilson","given":"R. Randy","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":816841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woodrey, Mark S.","contributorId":259212,"corporation":false,"usgs":false,"family":"Woodrey","given":"Mark","email":"","middleInitial":"S.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":816842,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fournier, Auriel M. V.","contributorId":259215,"corporation":false,"usgs":false,"family":"Fournier","given":"Auriel M. V.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":816843,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gleason, Jeff","contributorId":259216,"corporation":false,"usgs":false,"family":"Gleason","given":"Jeff","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":816844,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":222844,"corporation":false,"usgs":true,"family":"Lyons","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":816845,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70238869,"text":"70238869 - 2019 - Yellowstone’s birds are vital","interactions":[],"lastModifiedDate":"2022-12-14T14:31:34.136202","indexId":"70238869","displayToPublicDate":"2019-01-01T08:24:46","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3802,"text":"Yellowstone Science","active":true,"publicationSubtype":{"id":10}},"title":"Yellowstone’s birds are vital","docAbstract":"Traveling through Yellowstone National Park (YNP), visitors frequently stop to enjoy the park’s birds: small songbirds flitting about the willows, sandhill cranes engaged in their ritual mating dances, or myriad species of waterfowl loafing in one of the park's many wetlands. Typically while driving the roads of YNP, a majority of visitors consider a stopped car and raised binoculars a sure sign of some large mammal sighting. Bird watchers in YNP are familiar with this expectation and steel themselves to deliver the tough news. Certainly the park boasts its share of large charismatic birds, including trumpeter swans and bald and golden eagles; however, next to the bison, wolves, bears, and elk that bring so many visitors to Yellowstone, the park’s birds often seem overlooked.
","language":"English","publisher":"National Park Service","usgsCitation":"Diehl, R.H., and Smith, D., 2019, Yellowstone’s birds are vital: Yellowstone Science, v. 27, no. 1, p. 46-48.","productDescription":"3 p.","startPage":"46","endPage":"48","ipdsId":"IP-103304","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":410469,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":410468,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.nps.gov/articles/yellowstone-birds-vital.htm"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.04495007104536,\n 44.049315642634554\n ],\n [\n -110.52859264917038,\n 44.309321317035455\n ],\n [\n -110.42696911401411,\n 44.22081183241488\n ],\n [\n -110.26492077417033,\n 44.15976111066681\n ],\n [\n -110.05892712182668,\n 44.21884344137848\n ],\n [\n -110.06991344995181,\n 44.395735064139956\n ],\n [\n -110.15231091088926,\n 44.560352926662716\n ],\n [\n -110.07815319604549,\n 44.68351153047547\n ],\n [\n -110.16055065698295,\n 44.8434218609772\n ],\n [\n -110.2621741921392,\n 44.90570581885194\n ],\n [\n -110.30062634057715,\n 44.95474532334168\n ],\n [\n -110.37478405542093,\n 44.950857871381686\n ],\n [\n -110.44344860620214,\n 44.993605360065544\n ],\n [\n -110.7208533913581,\n 44.99166298362675\n ],\n [\n -110.78127819604563,\n 45.00137420750809\n ],\n [\n -111.05868298120195,\n 45.007200151861326\n ],\n [\n -111.04495007104536,\n 44.049315642634554\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"27","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Diehl, Robert H. 0000-0001-9141-1734 rhdiehl@usgs.gov","orcid":"https://orcid.org/0000-0001-9141-1734","contributorId":3396,"corporation":false,"usgs":true,"family":"Diehl","given":"Robert","email":"rhdiehl@usgs.gov","middleInitial":"H.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":859000,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Douglas W.","contributorId":179181,"corporation":false,"usgs":false,"family":"Smith","given":"Douglas W.","affiliations":[],"preferred":false,"id":859001,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70260142,"text":"70260142 - 2019 - Volcanic hazards in Alaska’s National Parks","interactions":[],"lastModifiedDate":"2024-10-30T18:34:06.641949","indexId":"70260142","displayToPublicDate":"2019-01-01T08:17:23","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3014,"text":"Park Science","active":true,"publicationSubtype":{"id":10}},"title":"Volcanic hazards in Alaska’s National Parks","docAbstract":"There are over 100 volcanoes in Alaska, 54 of which are considered historically active. A historically active volcano is one that fits one of the following criteria: a documented or strongly suspected eruption since the year 1700, persistent fumaroles near boiling point, significant deformation with a volcanic cause, or an earthquake swarm with a volcanic cause (Cameron and Schaefer, 2016). Alaska’s National Parks, Preserves, and Monuments contain a total of 14 historically active volcanoes (Fig. 1). There are numerous other volcanoes within Alaska’s National Parks, Preserves, and Monuments that are not considered historically active but which could erupt at some point in the future. In the past 100 years, there have been seven confirmed eruptions from historically active volcanoes within Alaska’s National Parks, Preserves, and Monuments. The Alaska Volcano Observatory (AVO) monitors and conducts research on volcanoes in Alaska in order to better understand volcanic processes and determine the likelihood of future volcanic hazards, with a primary goal of informing the public and local, state, and federal entities about volcanic hazards and impending volcanic activity. Volcanic hazards in Alaska’s National Parks, Preserves, and Monuments include both proximal hazards (within 30 km or 19 mi of the vent) and distal hazards that are capable of impacting areas at the regional, national, or international scale.
","language":"English","publisher":"National Park Service","usgsCitation":"Mulliken, K., Wallace, K.L., Cameron, C., and Waythomas, C.F., 2019, Volcanic hazards in Alaska’s National Parks: Park Science, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-101898","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":463317,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":463283,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://home.nps.gov/articles/aps-18-1-7.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -136.59940618859937,\n 61.76683943398939\n ],\n [\n -168.06591204889384,\n 61.76683943398939\n ],\n [\n -168.06591204889384,\n 52.24665838055142\n ],\n [\n -139.73883844629714,\n 58.220906017796125\n ],\n [\n -136.59940618859937,\n 61.76683943398939\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mulliken, Katherine","contributorId":345651,"corporation":false,"usgs":false,"family":"Mulliken","given":"Katherine","affiliations":[{"id":39689,"text":"Alaska Division of Geological & Geophysical Surveys","active":true,"usgs":false}],"preferred":false,"id":917171,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wallace, Kristi L. 0000-0002-0962-048X kwallace@usgs.gov","orcid":"https://orcid.org/0000-0002-0962-048X","contributorId":3454,"corporation":false,"usgs":true,"family":"Wallace","given":"Kristi","email":"kwallace@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917172,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cameron, Cheryl","contributorId":345652,"corporation":false,"usgs":false,"family":"Cameron","given":"Cheryl","affiliations":[{"id":39689,"text":"Alaska Division of Geological & Geophysical Surveys","active":true,"usgs":false}],"preferred":false,"id":917173,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waythomas, Christopher F. 0000-0002-3898-272X cwaythomas@usgs.gov","orcid":"https://orcid.org/0000-0002-3898-272X","contributorId":640,"corporation":false,"usgs":true,"family":"Waythomas","given":"Christopher","email":"cwaythomas@usgs.gov","middleInitial":"F.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917174,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70250156,"text":"70250156 - 2019 - Past warm periods provide vital benchmarks for understanding the future of the Greater Yellowstone Ecosystem","interactions":[],"lastModifiedDate":"2023-11-24T13:06:33.193975","indexId":"70250156","displayToPublicDate":"2019-01-01T06:56:15","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3802,"text":"Yellowstone Science","active":true,"publicationSubtype":{"id":10}},"title":"Past warm periods provide vital benchmarks for understanding the future of the Greater Yellowstone Ecosystem","docAbstract":"No abstract available.
","language":"English","publisher":"National Park Service","usgsCitation":"Whitlock, C., and Hostetler, S.W., 2019, Past warm periods provide vital benchmarks for understanding the future of the Greater Yellowstone Ecosystem: Yellowstone Science, v. 27, no. 1, p. 72-76.","productDescription":"5 p.","startPage":"72","endPage":"76","ipdsId":"IP-100206","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":422884,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":422876,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.nps.gov/articles/past-warm-periods-provide-vital-benchmarks.htm"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -108.79668471474619,\n 43.586764605429835\n ],\n [\n -108.79668471474619,\n 45.30919574717268\n ],\n [\n -111.95894999069165,\n 45.30919574717268\n ],\n [\n -111.95894999069165,\n 43.586764605429835\n ],\n [\n -108.79668471474619,\n 43.586764605429835\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"27","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Whitlock, Cathy","contributorId":79745,"corporation":false,"usgs":false,"family":"Whitlock","given":"Cathy","email":"","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":888602,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hostetler, Steven W. 0000-0003-2272-8302 swhostet@usgs.gov","orcid":"https://orcid.org/0000-0003-2272-8302","contributorId":3249,"corporation":false,"usgs":true,"family":"Hostetler","given":"Steven","email":"swhostet@usgs.gov","middleInitial":"W.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":888603,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70206267,"text":"70206267 - 2019 - Deep convolutional neural networks for map-type classification","interactions":[],"lastModifiedDate":"2020-06-02T21:48:09.072526","indexId":"70206267","displayToPublicDate":"2018-12-31T16:42:53","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Deep convolutional neural networks for map-type classification","docAbstract":"Maps are an important medium that enable people to comprehensively understand the configuration of cultural activities and natural elements over different times and places. Although a massive number of maps are available in the digital era, how to effectively and accurately locate and access the desired map on the Internet remains a challenge today. Previous works partially related to map-type classification mainly focused on map comparison and map matching at the local scale. The features derived from local map areas might be insufficient to characterize map content. To facilitate establishing an automatic approach for accessing the needed map, this paper reports our investigation into using deep learning techniques to recognize seven types of map, including topographic, terrain, physical, urban scene, the National Map, 3D, nighttime, orthophoto, and land cover classification. Experimental results show that the state-of-the-art deep convolutional neural networks can support automatic map-type classification. Additionally, the classification accuracy varies according to different map-types. This work can contribute to the implementation of deep learning techniques in the cartographic community and advance the progress of Geographical Artificial Intelligence (GeoAI).","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Autocarto 2018: Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"AutoCarto 2018, the 22nd International Research Symposium on Computer-based Cartography","conferenceDate":"May 22-24, 2018","conferenceLocation":"Madison, WI","language":"English","publisher":"Cartography and Geographic Information Society (CaGIS)","usgsCitation":"Zhou, X., Li, W., Arundel, S., and Liu, J., 2019, Deep convolutional neural networks for map-type classification, in Autocarto 2018: Proceedings, Madison, WI, May 22-24, 2018, 6 p.","productDescription":"6 p.","ipdsId":"IP-097759","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":375272,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368673,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://cartogis.org/autocarto/autocarto-2018/"}],"publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zhou, Xiran","contributorId":219357,"corporation":false,"usgs":false,"family":"Zhou","given":"Xiran","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":790249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, Wenwen 0000-0003-2237-9499","orcid":"https://orcid.org/0000-0003-2237-9499","contributorId":219356,"corporation":false,"usgs":false,"family":"Li","given":"Wenwen","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":790250,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arundel, Samantha T. 0000-0002-4863-0138 sarundel@usgs.gov","orcid":"https://orcid.org/0000-0002-4863-0138","contributorId":192598,"corporation":false,"usgs":true,"family":"Arundel","given":"Samantha","email":"sarundel@usgs.gov","middleInitial":"T.","affiliations":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":774004,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, Jun","contributorId":225085,"corporation":false,"usgs":false,"family":"Liu","given":"Jun","email":"","affiliations":[],"preferred":false,"id":790251,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70215591,"text":"70215591 - 2019 - Perspectives and challenges for the use of radar in biological conservation","interactions":[],"lastModifiedDate":"2020-10-25T17:42:42.466413","indexId":"70215591","displayToPublicDate":"2018-12-31T12:40:51","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"Perspectives and challenges for the use of radar in biological conservation","docAbstract":"Radar is at the forefront for the study of broad‐scale aerial movements of birds, bats and insects and related issues in biological conservation. Radar techniques are especially useful for investigating species which fly at high altitudes, in darkness, or which are too small for applying electronic tags. Here, we present an overview of radar applications in biological conservation and highlight its future possibilities. Depending on the type of radar, information can be gathered on local‐ to continental‐scale movements of airborne organisms and their behaviour. Such data can quantify flyway usage, biomass and nutrient transport (bioflow), population sizes, dynamics and distributions, times and dimensions of movements, areas and times of mass emergence and swarming, habitat use and activity ranges. Radar also captures behavioural responses to anthropogenic disturbances, artificial light and man‐made structures. Weather surveillance and other long‐range radar networks allow spatially broad overviews of important stopover areas, songbird mass roosts and emergences from bat caves. Mobile radars, including repurposed marine radars and commercially dedicated ‘bird radars’, offer the ability to track and monitor the local movements of individuals or groups of flying animals. Harmonic radar techniques have been used for tracking short‐range movements of insects and other small animals of conservation interest. However, a major challenge in aeroecology is determining the taxonomic identity of the targets, which often requires ancillary data obtained from other methods. Radar data have become a global source of information on ecosystem structure, composition, services and function and will play an increasing role in the monitoring and conservation of flying animals and threatened habitats worldwide.
No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Earthquake engineering. National conference. 11th 2018: Integrating science, engineering and policy","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"11th National Conference on Earthquake Engineering","conferenceDate":"Jun 25-29, 2018","conferenceLocation":"Los Angeles, CA","language":"English","publisher":"Curran Associates","usgsCitation":"McBride, S., Michael, A.J., Wein, A.M., Hardebeck, J.L., Becker, J., Potter, S., Perry, S.C., Page, M.T., Gerstenberger, M., Field, E., and van der Elst, N., 2019, Developing earthquake forecast templates for fast and effective communication, in Earthquake engineering. 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The photographs were transferred to ASL from the US Department of Commerce building in Washington DC after ASL became established as a USC&GS facility for seismological research and instrumentation testing in 1961. The photographs were variously used in publications to document USC&GS activities or used internally to document instrument installation, operation, and/or components. The historic photograph collection is made up of hundreds of photographs that were originally printed in the 1930s and 1940s. Our hope is that the archival of these records, as well as brief descriptions about their significance, will help preserve some of the knowledge about seismological advances in the United States during this time period. We provide digital scans of the complete ASL historic photo collection and discuss the historical context of select images in the Electronic Supplement of this document.","language":"English","doi":"10.1785/0220180267","usgsCitation":"Moore, S.V., Hutt, C.R., Anthony, R.E., Ringler, A.T., Alejandro, A.C., and Wilson, D.C., 2019, A collection of historic seismic instrumentation photographs at the Albuquerque Seismological Laboratory: Seismological Research Letters, v. 90, no. 2A, p. 765-773, https://doi.org/10.1785/0220180267.","productDescription":"9 p.","startPage":"765","endPage":"773","ipdsId":"IP-102661","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":381854,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"90","issue":"2A","noUsgsAuthors":false,"publicationDate":"2018-12-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Sabrina Veronica 0000-0003-3059-8261","orcid":"https://orcid.org/0000-0003-3059-8261","contributorId":246022,"corporation":false,"usgs":true,"family":"Moore","given":"Sabrina","email":"","middleInitial":"Veronica","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":807514,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hutt, Charles R. 0000-0001-9033-9195 bhutt@usgs.gov","orcid":"https://orcid.org/0000-0001-9033-9195","contributorId":1622,"corporation":false,"usgs":true,"family":"Hutt","given":"Charles","email":"bhutt@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":807515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anthony, Robert 0000-0001-7089-8846 reanthony@usgs.gov","orcid":"https://orcid.org/0000-0001-7089-8846","contributorId":202829,"corporation":false,"usgs":true,"family":"Anthony","given":"Robert","email":"reanthony@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":807516,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":3946,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":807517,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Alejandro, Alexis Casondra Bianca 0000-0002-3401-9303","orcid":"https://orcid.org/0000-0002-3401-9303","contributorId":246023,"corporation":false,"usgs":true,"family":"Alejandro","given":"Alexis","email":"","middleInitial":"Casondra Bianca","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":807518,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":807519,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70203319,"text":"70203319 - 2019 - Data sharing in magnetotellurics","interactions":[],"lastModifiedDate":"2019-05-06T09:13:01","indexId":"70203319","displayToPublicDate":"2018-12-27T09:11:01","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3879,"text":"Eos, Earth and Space Science News","active":true,"publicationSubtype":{"id":10}},"title":"Data sharing in magnetotellurics","docAbstract":"Here, we introduce the first openly available comprehensive database of magnetotelluric (MT) and related electromagnetic data that we developed and matured over the past decade, explain how to access the data, and describe the challenges that had to be overcome to make MT data sharing possible. The database is a helpful tool for MT scientists, and is widely used by the international scientific community in teaching, planning future surveys, and then to leverage the value of new data at the inversion and interpretation stage. It has also turned into a primary resource for researchers in space weather, and for power grid industry. MT impedance, a transfer function that relates geoelectric fields to geomagnetic fields at the Earth’s surface, provides a critical missing component for estimation of geomagnetically induced currents: quasi-direct currents caused by geomagnetic storms that can destroy valuable equipment and cause extended blackouts. We envision that this database will also be useful for researchers in other areas of geophysics, such as seismology, who would like to use real MT data for hands-on learning and joint inversion analysis.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018EO112859","usgsCitation":"Kelbert, A., Erofeeva, S., Trabant, C., Karstens, R., and Van Fossen, M.C., 2019, Data sharing in magnetotellurics: Eos, Earth and Space Science News, v. 99, https://doi.org/10.1029/2018EO112859.","ipdsId":"IP-098933","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":468015,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018eo112859","text":"Publisher Index Page"},{"id":363525,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kelbert, Anna 0000-0003-4395-398X akelbert@usgs.gov","orcid":"https://orcid.org/0000-0003-4395-398X","contributorId":184053,"corporation":false,"usgs":true,"family":"Kelbert","given":"Anna","email":"akelbert@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762133,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erofeeva, Svetlana","contributorId":215356,"corporation":false,"usgs":false,"family":"Erofeeva","given":"Svetlana","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":762134,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Trabant, Chad","contributorId":215357,"corporation":false,"usgs":false,"family":"Trabant","given":"Chad","email":"","affiliations":[{"id":39228,"text":"Incorporated Research Institutions for Seismology","active":true,"usgs":false}],"preferred":false,"id":762135,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Karstens, Rich","contributorId":215358,"corporation":false,"usgs":false,"family":"Karstens","given":"Rich","email":"","affiliations":[{"id":39228,"text":"Incorporated Research Institutions for Seismology","active":true,"usgs":false}],"preferred":false,"id":762136,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Van Fossen, Mickey C.","contributorId":205475,"corporation":false,"usgs":false,"family":"Van Fossen","given":"Mickey","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":762137,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70215268,"text":"70215268 - 2019 - Stable pack abundance and distribution in a harvested wolf population","interactions":[],"lastModifiedDate":"2020-10-14T13:53:14.524014","indexId":"70215268","displayToPublicDate":"2018-12-27T08:50:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Stable pack abundance and distribution in a harvested wolf population","docAbstract":"Harvesting gray wolves (Canis lupus) could affect the abundance and distribution of packs, but the frequency of change in pack occurrence (i.e., turnover) and relative effects of harvest compared to environmental factors is unclear. We used noninvasive genetic sampling, hunter surveys, and occupancy models to evaluate the effect of harvest on occurrence and turnover of packs in a population of wolves managed with intensive harvest in the Canadian Rocky Mountains, 2012–2014. We tested 2 alternative hypotheses: the abundance and distribution of wolf packs were dynamic because of harvest or the abundance and distribution of wolf packs were generally stable regardless of harvest. We found the mean annual probability for wolf pack occupancy ranged 0.72–0.74 and the estimated distribution of wolf packs was consistent over time, 2012–2014. Our top model indicated wolf pack occupancy was positively associated with forest cover and the probability of detecting a wolf pack was positively associated with the intensity of harvest for wolves in that area. We observed frequent turnover of individuals within packs that were genetically sampled consecutive years but not of entire packs. Because turnover of packs occurred infrequently during our study, we could not reject our hypothesis that occurrence of packs was generally stable in a harvested population of wolves. Our results suggest environmental factors have a stronger effect than harvest on the abundance and distribution of wolf packs in southwestern Alberta, but harvest appears to strongly influence turnover of individuals within packs. We hypothesize local dispersal from within the study area and neighboring packs on the periphery of the study area helped promote pack stability. © 2018 The Wildlife Society.