{"pageNumber":"707","pageRowStart":"17650","pageSize":"25","recordCount":184563,"records":[{"id":70215269,"text":"70215269 - 2019 - Plants trap pollen to feed predatory arthropods as an indirect resistance against herbivory","interactions":[],"lastModifiedDate":"2020-10-15T14:10:28.705278","indexId":"70215269","displayToPublicDate":"2019-08-27T08:37:31","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Plants trap pollen to feed predatory arthropods as an indirect resistance against herbivory","docAbstract":"

Plants commonly employ indirect resistance to reduce herbivory by provisioning predatory arthropod populations with additional resources. Numerous predatory arthropods consume pollen that is entrapped on dense, wooly trichomes of plants. Over two seasons, we supplemented pollen on the wooly leaves of turkey mullein, Croton setiger, in natural populations to determine if pollen entrapped on leaves supplements predatory arthropods and reduces herbivore populations and damage to the plant. Pollen supplementation increased the abundance of predatory spiders in both years and omnivorous Orius bugs in 1 yr but had no effect on predatory hemipterans. Pollen supplementation reduced the abundance of herbivorous fleahoppers. Pollen supplementation decreased the amount of leaf damage experienced by plants over the season, suggesting that pollen entrapment may act as an indirect resistance. While C. setiger plants have little control over the amount of pollen on their surfaces, pollen adds to the diet of predatory arthropods that reduce herbivory, thus attraction of predators may be an adaptive benefit of leaf structures such as wooly trichomes that entrap pollen.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.2867","usgsCitation":"Van Wyk, J., Krimmel, B., Crova, L., and Pearse, I.S., 2019, Plants trap pollen to feed predatory arthropods as an indirect resistance against herbivory: Ecology, v. 100, no. 11, e02867, 6 p., https://doi.org/10.1002/ecy.2867.","productDescription":"e02867, 6 p.","ipdsId":"IP-106436","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":467336,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.2867","text":"Publisher Index Page"},{"id":437357,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TWTR2F","text":"USGS data release","linkHelpText":"Croton setiger predators, herbivores, and damage collected in California 2013-2014"},{"id":379355,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"100","issue":"11","noUsgsAuthors":false,"publicationDate":"2019-09-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Van Wyk, Jenny","contributorId":243044,"corporation":false,"usgs":false,"family":"Van Wyk","given":"Jenny","email":"","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":801414,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krimmel, Billy","contributorId":208297,"corporation":false,"usgs":false,"family":"Krimmel","given":"Billy","email":"","affiliations":[{"id":37779,"text":"Restoration Landscaping Company","active":true,"usgs":false}],"preferred":false,"id":801415,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crova, Laure","contributorId":243047,"corporation":false,"usgs":false,"family":"Crova","given":"Laure","email":"","affiliations":[],"preferred":false,"id":801428,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearse, Ian S. 0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":216680,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":801416,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70219470,"text":"70219470 - 2019 - Laboratory experiments of volcanic ash resuspension by wind","interactions":[],"lastModifiedDate":"2021-04-08T12:26:43.585812","indexId":"70219470","displayToPublicDate":"2019-08-27T07:24:14","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8113,"text":"Journal of Geophysical Research - Atmospheres","active":true,"publicationSubtype":{"id":10}},"title":"Laboratory experiments of volcanic ash resuspension by wind","docAbstract":"

Fresh volcanic eruption deposits tend to be loose, bare, and readily resuspended by wind. Major resuspension events in Patagonia, Iceland, and Alaska have lofted ash clouds with potential to impact aircraft, infrastructure, and downwind communities. However, poor constraints on this resuspension process limit our ability to model this phenomenon. Here, we present laboratory experiments measuring threshold shear velocities and emission rates of resuspended ash under different environmental conditions, including relative humidity of 25–75% and simulated rainfall with subsequent drying. Eruption deposits were replicated using ash collected from two major eruptions: the 18 May 1980 eruption of Mount St. Helens and the 1912 eruption of Novarupta, in Alaska's Valley of Ten Thousand Smokes. Samples were conditioned in a laboratory chamber and prepared with bulk deposit densities of 1,300–1,500 kg/m3. A control sample of dune sand was included for comparison. The deposits were subjected to different wind speeds using a modified PI‐SWERL® instrument. Under a constant relative humidity of 50% and shear velocities 0.4–0.8 m/s, PM10 emission by resuspension ranged from 10 to >100 mg·m−2·s−1. Addition of liquid water equivalent to 5 mm of rainfall had little lasting effect on Mount St. Helens wind erosion potential, while the Valley of Ten Thousand Smokes deposits exhibited lower emissions for at least 12 days. The results indicate that particle resuspension due to wind erosion from ash deposits potentially exceeds that of most desert surfaces and approaches some of the highest emissions ever measured.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JD030076","usgsCitation":"Etyemezian, V., Gillies, J., Mastin, L.G., Crawford, A., Hasson, R., Van Eaton, A.R., and Nikolich, G., 2019, Laboratory experiments of volcanic ash resuspension by wind: Journal of Geophysical Research - Atmospheres, v. 124, no. 16, p. 9534-9560, https://doi.org/10.1029/2018JD030076.","productDescription":"27 p.","startPage":"9534","endPage":"9560","ipdsId":"IP-108983","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467337,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018jd030076","text":"Publisher Index Page"},{"id":384919,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"124","issue":"16","noUsgsAuthors":false,"publicationDate":"2019-08-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Etyemezian, Vicken","contributorId":257030,"corporation":false,"usgs":false,"family":"Etyemezian","given":"Vicken","email":"","affiliations":[{"id":51959,"text":"Desert Research Institute, Las Vegas, Nevada","active":true,"usgs":false}],"preferred":false,"id":813692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gillies, Jack","contributorId":257031,"corporation":false,"usgs":false,"family":"Gillies","given":"Jack","email":"","affiliations":[{"id":51959,"text":"Desert Research Institute, Las Vegas, Nevada","active":true,"usgs":false}],"preferred":false,"id":813693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mastin, Larry G. 0000-0002-4795-1992 lgmastin@usgs.gov","orcid":"https://orcid.org/0000-0002-4795-1992","contributorId":555,"corporation":false,"usgs":true,"family":"Mastin","given":"Larry","email":"lgmastin@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":813694,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crawford, Alice","contributorId":257032,"corporation":false,"usgs":false,"family":"Crawford","given":"Alice","email":"","affiliations":[{"id":51961,"text":"National Oceanic and Atmospheric Administration, College Park, MD","active":true,"usgs":false}],"preferred":false,"id":813695,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hasson, Robert","contributorId":257033,"corporation":false,"usgs":false,"family":"Hasson","given":"Robert","email":"","affiliations":[{"id":51963,"text":"U.S. Department of Energy, Environmental Management Consolidated Business Center, Cincinnati, OH","active":true,"usgs":false}],"preferred":false,"id":813696,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Van Eaton, Alexa R. 0000-0001-6646-4594 avaneaton@usgs.gov","orcid":"https://orcid.org/0000-0001-6646-4594","contributorId":184079,"corporation":false,"usgs":true,"family":"Van Eaton","given":"Alexa","email":"avaneaton@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":813697,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nikolich, G.","contributorId":257034,"corporation":false,"usgs":false,"family":"Nikolich","given":"G.","email":"","affiliations":[{"id":51959,"text":"Desert Research Institute, Las Vegas, Nevada","active":true,"usgs":false}],"preferred":false,"id":813698,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70204773,"text":"sir20195078 - 2019 - Hydrologic balance, water quality, chemical-mass balance, and geochemical modeling of hyperalkaline ponds at Big Marsh, Chicago, Illinois, 2016–17","interactions":[],"lastModifiedDate":"2019-08-27T09:23:30","indexId":"sir20195078","displayToPublicDate":"2019-08-27T03:55:27","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5078","displayTitle":"Hydrologic Balance, Water Quality, Chemical-Mass Balance, and Geochemical Modeling of Hyperalkaline Ponds at Big Marsh, Chicago, Illinois, 2016–17","title":"Hydrologic balance, water quality, chemical-mass balance, and geochemical modeling of hyperalkaline ponds at Big Marsh, Chicago, Illinois, 2016–17","docAbstract":"

Hyperalkaline (pH greater than 12) ponds and groundwater exist at Big Marsh near Lake Calumet, Chicago, Illinois, a site used by the steel industry during the mid-1900s to deposit steel- and iron-making waste, in particular, slag. The hyperalkaline ponds may pose a hazard to human health and the environment. The U.S. Geological Survey (USGS), in cooperation with the Environmental Protection Agency (EPA) and in collaboration with the City of Chicago’s Park District, completed a study to evaluate the hydrologic balance, water quality, and chemical-mass balance of hyperalkaline ponds at Big Marsh and geochemical modeling used to evaluate remediation options for water quality at the site based on data collected in 2016–17.

Synoptic measurements of surface-water and groundwater elevations were used to determine flow directions and to enable a preliminary estimate of the hydrologic balance for the ponds. Water-quality samples also were collected and analyzed for selected constituents including major anions and cations, nutrients, metals, and trace elements. The results of the water-quality analyses were used to develop a geochemical model to evaluate concentrations, factors affecting pH, and the state of equilibrium between surface waters and atmospheric carbon dioxide. The geochemical model was used to evaluate remediation scenarios using riprap, spillways, or active aeration. The results indicate that active aeration will decrease the pH to near 7.5 in about 8 hours, the fastest rate of the scenarios. Passive aeration, such as riprap or spillways, also can be effective at decreasing the pH in about 45 hours, but spatial obstacles limit their implementation. Seasonal variations in temperature also affect the rate of equilibration, where colder temperatures may have a lower pH than warmer temperatures and may affect the timing and frequency of remediation.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195078","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency, Brownfields Program, and in collaboration with the City of Chicago’s Park District","usgsCitation":"Gahala, A.M., Seal, R.R., and Piatak, N.M., 2019, Hydrologic balance, water quality, chemical-mass balance, and geochemical modeling of hyperalkaline ponds at Big Marsh, Chicago, Illinois, 2016–17: U.S. Geological Survey Scientific Investigations Report 2019–5078, 31 p., https://doi.org/10.3133/sir20195078.","productDescription":"Report: vi, 31 p.; Data Release","numberOfPages":"42","onlineOnly":"Y","ipdsId":"IP-091826","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":366917,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5078/sir20195078.pdf","text":"SIR 2019–5078","size":"3.66 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5078"},{"id":366918,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VUAQ35","text":"USGS data release ","description":"USGS Data Release","linkHelpText":"Water level data from single-well (slug) tests at a monitoring well in Big Marsh, Chicago, Illinois"},{"id":366916,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5078/coverthb.jpg"}],"country":"United States","state":"Illinois","county":"Cook County","city":"Chicago","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-88.1992,42.1555],[-88.1218,42.1561],[-88.0042,42.1557],[-88.0042,42.157],[-87.886,42.1552],[-87.7659,42.155],[-87.7572,42.1548],[-87.753,42.1502],[-87.7447,42.137],[-87.7399,42.1319],[-87.7393,42.1296],[-87.7351,42.125],[-87.7302,42.1218],[-87.729,42.1213],[-87.7272,42.1194],[-87.7261,42.1153],[-87.72,42.1089],[-87.7079,42.0983],[-87.6976,42.0909],[-87.6916,42.0863],[-87.6885,42.0835],[-87.6861,42.0812],[-87.685,42.0784],[-87.6807,42.0766],[-87.6771,42.0729],[-87.6747,42.0692],[-87.6742,42.066],[-87.6729,42.0651],[-87.6731,42.0587],[-87.6704,42.0446],[-87.6674,42.0428],[-87.6681,42.0396],[-87.6669,42.0359],[-87.6657,42.0336],[-87.6646,42.0295],[-87.6617,42.0213],[-87.6589,42.0122],[-87.6577,42.0095],[-87.6535,42.0049],[-87.6523,42.0021],[-87.6506,41.9994],[-87.6494,41.9962],[-87.6509,41.9871],[-87.6498,41.9826],[-87.6467,41.9807],[-87.6449,41.9789],[-87.6443,41.9779],[-87.6419,41.9765],[-87.6419,41.9756],[-87.642,41.972],[-87.6396,41.9692],[-87.6378,41.9669],[-87.6354,41.9651],[-87.6317,41.9646],[-87.6287,41.9636],[-87.6275,41.9622],[-87.6288,41.9604],[-87.6331,41.9587],[-87.6362,41.9592],[-87.6369,41.9578],[-87.6351,41.9533],[-87.6316,41.9473],[-87.6298,41.945],[-87.6292,41.9432],[-87.6293,41.9396],[-87.6281,41.9373],[-87.6263,41.9359],[-87.627,41.9323],[-87.6258,41.9309],[-87.6253,41.9282],[-87.6254,41.9245],[-87.6231,41.9186],[-87.6207,41.9145],[-87.6195,41.9135],[-87.6177,41.914],[-87.6164,41.913],[-87.6183,41.9117],[-87.6209,41.9099],[-87.6215,41.9077],[-87.621,41.9058],[-87.6204,41.9036],[-87.6186,41.9031],[-87.6161,41.9017],[-87.6149,41.9007],[-87.6131,41.8994],[-87.6108,41.8957],[-87.6096,41.8943],[-87.5985,41.8932],[-87.5973,41.8928],[-87.5973,41.8919],[-87.5985,41.8914],[-87.6066,41.8915],[-87.6084,41.8907],[-87.6103,41.8889],[-87.6097,41.8875],[-87.611,41.8848],[-87.6124,41.8821],[-87.6131,41.878],[-87.6127,41.8698],[-87.6109,41.8689],[-87.609,41.8675],[-87.6041,41.8674],[-87.6029,41.8674],[-87.603,41.8629],[-87.6038,41.8579],[-87.6038,41.8561],[-87.6063,41.8552],[-87.6088,41.8539],[-87.6059,41.8457],[-87.6031,41.8384],[-87.5995,41.832],[-87.5954,41.826],[-87.5894,41.8177],[-87.5841,41.8117],[-87.5811,41.8081],[-87.5793,41.8053],[-87.5782,41.8021],[-87.5764,41.7998],[-87.5758,41.7989],[-87.574,41.7984],[-87.5734,41.798],[-87.5728,41.797],[-87.574,41.7962],[-87.5765,41.7944],[-87.576,41.7921],[-87.5748,41.7898],[-87.5742,41.7884],[-87.5743,41.7871],[-87.5743,41.7857],[-87.5737,41.7848],[-87.5719,41.7839],[-87.5694,41.7834],[-87.5676,41.7824],[-87.5689,41.7815],[-87.5713,41.7816],[-87.5732,41.7812],[-87.5745,41.7803],[-87.5745,41.7794],[-87.5739,41.778],[-87.5727,41.7775],[-87.5714,41.7779],[-87.5677,41.7788],[-87.5665,41.7774],[-87.5659,41.7765],[-87.5611,41.7719],[-87.5606,41.7705],[-87.56,41.7691],[-87.5594,41.7687],[-87.5576,41.7668],[-87.5576,41.765],[-87.5528,41.7604],[-87.5504,41.7599],[-87.5479,41.7594],[-87.5461,41.7594],[-87.5449,41.7598],[-87.5412,41.7593],[-87.54,41.7584],[-87.5394,41.7566],[-87.5407,41.7552],[-87.5407,41.7534],[-87.5395,41.7525],[-87.5377,41.7525],[-87.5359,41.7511],[-87.5334,41.7497],[-87.531,41.7483],[-87.5298,41.7469],[-87.5283,41.736],[-87.5277,41.7337],[-87.5272,41.73],[-87.5257,41.7182],[-87.524,41.7135],[-87.5239,41.6941],[-87.5255,41.5516],[-87.5265,41.4712],[-87.5565,41.4712],[-87.6706,41.4715],[-87.7888,41.4723],[-87.7891,41.4855],[-87.7894,41.5],[-87.7922,41.5377],[-87.7923,41.5595],[-87.9071,41.5578],[-87.9106,41.6445],[-88.0299,41.6428],[-88.0308,41.6868],[-88.0013,41.6874],[-87.9883,41.6877],[-87.9674,41.6879],[-87.9482,41.694],[-87.9438,41.7017],[-87.9139,41.7172],[-87.9142,41.7318],[-87.9178,41.8185],[-87.9188,41.9076],[-87.9175,41.9938],[-88.0342,41.9925],[-88.1473,41.9883],[-88.2634,41.9876],[-88.2632,42.0675],[-88.2632,42.0685],[-88.2379,42.0682],[-88.2382,42.155],[-88.1992,42.1555]]]},\"properties\":{\"name\":\"Cook\",\"state\":\"IL\"}}]}","contact":"

Director, Central Midwest Water Science Center
U.S. Geological Survey
405 North Goodwin
Urbana, IL 61801

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2019-08-27","noUsgsAuthors":false,"publicationDate":"2019-08-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Gahala, Amy M. 0000-0003-2380-2973","orcid":"https://orcid.org/0000-0003-2380-2973","contributorId":213530,"corporation":false,"usgs":true,"family":"Gahala","given":"Amy","email":"","middleInitial":"M.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":768411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seal,, Robert R. II 0000-0003-0901-2529 rseal@usgs.gov","orcid":"https://orcid.org/0000-0003-0901-2529","contributorId":141204,"corporation":false,"usgs":true,"family":"Seal,","given":"Robert R.","suffix":"II","email":"rseal@usgs.gov","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":768412,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Piatak, Nadine M. 0000-0002-1973-8537 npiatak@usgs.gov","orcid":"https://orcid.org/0000-0002-1973-8537","contributorId":193010,"corporation":false,"usgs":true,"family":"Piatak","given":"Nadine","email":"npiatak@usgs.gov","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":768413,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70204430,"text":"sir20195066 - 2019 - Development and evaluation of a record extension technique for estimating discharge at selected stream sites in New Hampshire","interactions":[],"lastModifiedDate":"2019-08-26T11:49:51","indexId":"sir20195066","displayToPublicDate":"2019-08-26T12:00:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5066","displayTitle":"Development and Evaluation of a Record Extension Technique for Estimating Discharge at Selected Stream Sites in New Hampshire","title":"Development and evaluation of a record extension technique for estimating discharge at selected stream sites in New Hampshire","docAbstract":"

Daily mean discharges are needed for rivers in New Hampshire for the management of instream flows. It is impractical, however, to continuously gage all streams in New Hampshire, and at many sites where information is needed, the discharge data required do not exist. For such sites, techniques for estimating discharge are available. The U.S. Geological Survey, in cooperation with the New Hampshire Department of Environmental Services, developed and evaluated the accuracy of estimated discharge records for six discontinued U.S. Geological Survey streamgages in New Hampshire.

The estimated records were developed by using the maintenance of variance extension, type 1 (MOVE.1), record extension technique and were generated for periods with concurrent observed records to allow for evaluation. The six discontinued streamgages were on New Hampshire designated rivers throughout the State and had drainage areas ranging from 35.6 to 395 square miles with little to no regulation.

Estimated records for four of the six streamgages had Nash-Sutcliffe efficiency coefficients greater than 0.85. The other two streamgages had Nash-Sutcliffe efficiency coefficients between 0.45 and 0.60. For the four streamgages with the higher Nash-Sutcliffe efficiency coefficients, more than 35 percent of the estimated record was within 15 percent of the observed record. At the other two streamgages, more than 23 percent of the estimated record was within 15 percent of the observed record.

At lower discharges (exceeded 80 percent of the time), for four of the six streamgages, more than 40 percent of the estimated record was within 15 percent of the observed record. The site with the lowest Nash-Sutcliffe efficiency coefficient had more than 14 percent of the estimated record at low discharges within 15 percent of the observed record.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195066","collaboration":"Prepared in cooperation with the New Hampshire Department of Environmental Services","usgsCitation":"Olson, S.A., and Meyerhofer, A.J., 2019, Development and evaluation of a record extension technique for estimating discharge at selected stream sites in New Hampshire: U.S. Geological Survey Scientific Investigations Report 2019–5066, 23 p., https://doi.org/10.3133/sir20195066.","productDescription":"iv, 23 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-102986","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":366553,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5066/coverthb2.jpg"},{"id":366554,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5066/sir20195066.pdf","text":"Report","size":"8.60 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5066"}],"country":"United States","state":"New Hampshire","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-72.4521,43.161414],[-72.452556,43.172117],[-72.443405,43.179729],[-72.45028,43.192485],[-72.437719,43.20275],[-72.4405,43.219049],[-72.433796,43.232999],[-72.438937,43.24424],[-72.438693,43.252905],[-72.435221,43.258483],[-72.421583,43.263442],[-72.41545,43.271374],[-72.407842,43.282892],[-72.401666,43.303395],[-72.395462,43.312994],[-72.410353,43.331675],[-72.400981,43.345775],[-72.390103,43.356926],[-72.403949,43.358098],[-72.413377,43.362741],[-72.415978,43.376531],[-72.413154,43.384302],[-72.403811,43.391935],[-72.395659,43.438541],[-72.390567,43.451225],[-72.3925,43.467364],[-72.382951,43.476],[-72.381723,43.480091],[-72.380894,43.493394],[-72.384773,43.500259],[-72.396305,43.508062],[-72.398563,43.513435],[-72.394218,43.5274],[-72.389097,43.528266],[-72.380383,43.54088],[-72.382783,43.562459],[-72.37944,43.574069],[-72.373126,43.579419],[-72.349926,43.587726],[-72.328514,43.600805],[-72.328232,43.606839],[-72.3327,43.610313],[-72.334401,43.61925],[-72.33236,43.62507],[-72.327236,43.630534],[-72.32966,43.634648],[-72.314083,43.64281],[-72.31402,43.656158],[-72.304322,43.669507],[-72.303092,43.678078],[-72.30602,43.683061],[-72.305326,43.69577],[-72.299715,43.706558],[-72.292215,43.711333],[-72.27118,43.734138],[-72.264245,43.734158],[-72.232713,43.748286],[-72.218099,43.765729],[-72.205193,43.770952],[-72.2053,43.784474],[-72.195552,43.791492],[-72.190754,43.800807],[-72.184847,43.804698],[-72.183333,43.808177],[-72.18857,43.821153],[-72.182203,43.834032],[-72.182864,43.845109],[-72.187916,43.856126],[-72.184788,43.863393],[-72.182956,43.865335],[-72.167476,43.86915],[-72.173576,43.87967],[-72.170604,43.886388],[-72.160819,43.887223],[-72.151324,43.901704],[-72.121002,43.918956],[-72.118013,43.923292],[-72.116767,43.933923],[-72.118985,43.943225],[-72.117839,43.946828],[-72.105875,43.94937],[-72.098689,43.95766],[-72.100543,43.962478],[-72.090357,43.965409],[-72.104972,43.96995],[-72.110945,43.966959],[-72.114273,43.967513],[-72.111756,43.984943],[-72.116985,43.99448],[-72.103765,44.002837],[-72.105292,44.012663],[-72.102475,44.014882],[-72.098897,44.015477],[-72.093384,44.01045],[-72.090059,44.009903],[-72.090504,44.012736],[-72.095193,44.016666],[-72.0951,44.021831],[-72.09203,44.024459],[-72.084871,44.021308],[-72.082432,44.022154],[-72.081357,44.028529],[-72.075004,44.032789],[-72.079397,44.039531],[-72.078989,44.042886],[-72.06215,44.049931],[-72.068405,44.054021],[-72.067612,44.058034],[-72.057173,44.058646],[-72.048289,44.069136],[-72.051602,44.075193],[-72.042088,44.077008],[-72.036641,44.073999],[-72.031898,44.076241],[-72.048781,44.087141],[-72.046235,44.089538],[-72.03429,44.090138],[-72.031878,44.093359],[-72.03124,44.100101],[-72.039674,44.103371],[-72.042943,44.097636],[-72.048334,44.096905],[-72.052391,44.101088],[-72.054831,44.110137],[-72.052342,44.119891],[-72.041948,44.125653],[-72.037506,44.124708],[-72.033703,44.131541],[-72.041983,44.137165],[-72.042867,44.151288],[-72.040167,44.157023],[-72.042387,44.160817],[-72.047593,44.161801],[-72.053021,44.167903],[-72.057496,44.179444],[-72.066166,44.189773],[-72.064577,44.196949],[-72.058987,44.202114],[-72.058605,44.208215],[-72.053233,44.216876],[-72.053582,44.22604],[-72.047889,44.238493],[-72.050112,44.244046],[-72.059782,44.256018],[-72.061174,44.263377],[-72.05874,44.270005],[-72.064544,44.267997],[-72.067774,44.270976],[-72.065434,44.277235],[-72.053355,44.290501],[-72.046302,44.291983],[-72.033465,44.301878],[-72.033136,44.320365],[-72.029061,44.322398],[-72.01913,44.320383],[-72.009977,44.321951],[-71.988306,44.329768],[-71.984617,44.336243],[-71.98112,44.3375],[-71.945163,44.337744],[-71.935395,44.33577],[-71.92911,44.337577],[-71.917434,44.346535],[-71.906909,44.348284],[-71.872472,44.336628],[-71.852628,44.340873],[-71.833261,44.350136],[-71.814351,44.354541],[-71.812206,44.357356],[-71.816157,44.367559],[-71.812424,44.372532],[-71.815251,44.374594],[-71.814388,44.381932],[-71.800316,44.384276],[-71.803488,44.39189],[-71.793924,44.399271],[-71.778613,44.399799],[-71.761966,44.407027],[-71.756091,44.406401],[-71.749533,44.401955],[-71.743104,44.401657],[-71.735923,44.410062],[-71.715087,44.41049],[-71.699434,44.416069],[-71.67995,44.427908],[-71.679933,44.434062],[-71.66183,44.440293],[-71.653348,44.460499],[-71.645068,44.460545],[-71.640404,44.464186],[-71.647864,44.469976],[-71.64589,44.475141],[-71.639312,44.477836],[-71.632795,44.48389],[-71.627655,44.484207],[-71.622089,44.481387],[-71.617614,44.485715],[-71.609568,44.484348],[-71.59948,44.486455],[-71.594303,44.500749],[-71.586972,44.498526],[-71.586648,44.502873],[-71.577643,44.502692],[-71.577068,44.504041],[-71.583233,44.508268],[-71.594259,44.52168],[-71.582505,44.524403],[-71.574456,44.53366],[-71.573083,44.53798],[-71.575193,44.540859],[-71.596804,44.553424],[-71.598116,44.555412],[-71.596137,44.560898],[-71.59017,44.565694],[-71.569599,44.562777],[-71.559846,44.564119],[-71.557972,44.570451],[-71.552629,44.569543],[-71.548728,44.571873],[-71.5533,44.576924],[-71.5532,44.580683],[-71.544922,44.579278],[-71.537724,44.584785],[-71.536251,44.588441],[-71.553447,44.593451],[-71.556014,44.601383],[-71.553873,44.607069],[-71.55656,44.616988],[-71.55576,44.624119],[-71.551722,44.627598],[-71.554634,44.632197],[-71.562124,44.63658],[-71.562636,44.639505],[-71.558859,44.640122],[-71.558571,44.644373],[-71.566144,44.653863],[-71.570235,44.650483],[-71.575145,44.650612],[-71.57571,44.654574],[-71.586578,44.659478],[-71.584574,44.665351],[-71.585645,44.669277],[-71.581983,44.673533],[-71.596304,44.679083],[-71.594224,44.683815],[-71.598042,44.692818],[-71.59436,44.695996],[-71.600162,44.698919],[-71.59975,44.705318],[-71.604912,44.70815],[-71.613094,44.718933],[-71.618355,44.72261],[-71.617431,44.72805],[-71.624922,44.729032],[-71.62518,44.743978],[-71.626909,44.747224],[-71.631109,44.748689],[-71.631883,44.752463],[-71.617941,44.755883],[-71.614238,44.758664],[-71.611767,44.764345],[-71.604615,44.767738],[-71.596035,44.775422],[-71.596949,44.778987],[-71.592966,44.782776],[-71.580005,44.78548],[-71.573247,44.791882],[-71.571706,44.79483],[-71.573129,44.797947],[-71.569216,44.808813],[-71.572864,44.810383],[-71.5755,44.816058],[-71.567907,44.823832],[-71.562256,44.824632],[-71.557672,44.834421],[-71.552218,44.837775],[-71.556805,44.848808],[-71.548345,44.85553],[-71.550176,44.861609],[-71.545901,44.866134],[-71.534588,44.869698],[-71.529154,44.873559],[-71.528889,44.876928],[-71.512292,44.890246],[-71.51387,44.894648],[-71.501088,44.904433],[-71.495844,44.90498],[-71.49392,44.910923],[-71.500788,44.914535],[-71.515189,44.927317],[-71.516949,44.939704],[-71.514843,44.958741],[-71.516223,44.964569],[-71.52237,44.966308],[-71.527163,44.973668],[-71.531605,44.976023],[-71.538592,44.988182],[-71.53698,44.994177],[-71.530091,44.999656],[-71.514609,45.003957],[-71.507767,45.00817],[-71.487565,45.000936],[-71.479611,45.002905],[-71.476168,45.009054],[-71.464555,45.013637],[-71.502487,45.013367],[-71.500069,45.014212],[-71.499945,45.026323],[-71.494009,45.034345],[-71.491085,45.043671],[-71.49315,45.045772],[-71.500874,45.04511],[-71.505222,45.048791],[-71.505091,45.051465],[-71.500545,45.051943],[-71.497738,45.054751],[-71.496105,45.065082],[-71.498399,45.069629],[-71.489145,45.072308],[-71.486345,45.078503],[-71.480219,45.081316],[-71.480897,45.08303],[-71.471382,45.084199],[-71.467447,45.086851],[-71.464837,45.093023],[-71.449257,45.104522],[-71.445613,45.113367],[-71.440577,45.114464],[-71.428828,45.123881],[-71.426755,45.129672],[-71.437216,45.142333],[-71.433179,45.149166],[-71.42675,45.153257],[-71.423616,45.161096],[-71.424616,45.165872],[-71.419058,45.170488],[-71.414853,45.184908],[-71.408777,45.18797],[-71.405636,45.198139],[-71.39781,45.203553],[-71.403267,45.215348],[-71.415553,45.218001],[-71.417233,45.221293],[-71.44288,45.234799],[-71.443883,45.237061],[-71.438546,45.239004],[-71.433014,45.237656],[-71.429326,45.234228],[-71.420335,45.232719],[-71.402638,45.242589],[-71.394422,45.241216],[-71.391901,45.237216],[-71.385629,45.233214],[-71.37763,45.244203],[-71.363013,45.248205],[-71.357253,45.253336],[-71.356835,45.257175],[-71.363218,45.266429],[-71.360664,45.269835],[-71.353446,45.268695],[-71.347622,45.272125],[-71.344029,45.271167],[-71.336392,45.273066],[-71.331733,45.279969],[-71.320922,45.282324],[-71.314318,45.287033],[-71.309008,45.287238],[-71.301107,45.296563],[-71.284396,45.302434],[-71.28074,45.295188],[-71.27232,45.296694],[-71.264939,45.293446],[-71.266754,45.29123],[-71.262136,45.276098],[-71.250393,45.269191],[-71.245503,45.26887],[-71.239346,45.261925],[-71.236271,45.261126],[-71.231122,45.249712],[-71.221994,45.253543],[-71.220634,45.251121],[-71.2118,45.250457],[-71.203033,45.254302],[-71.198276,45.254257],[-71.194878,45.250515],[-71.183785,45.244932],[-71.180905,45.239858],[-71.173367,45.246348],[-71.162845,45.250332],[-71.148165,45.242412],[-71.13943,45.242958],[-71.131953,45.245423],[-71.127962,45.253672],[-71.124517,45.25527],[-71.119914,45.262287],[-71.120112,45.265738],[-71.116332,45.272322],[-71.107339,45.278612],[-71.105691,45.282498],[-71.109349,45.282222],[-71.110743,45.284576],[-71.105151,45.294635],[-71.097772,45.301906],[-71.085564,45.305476],[-71.076914,45.246912],[-71.059004,45.004918],[-71.037518,44.755607],[-71.012749,44.340784],[-70.992842,43.916269],[-70.989067,43.79244],[-70.982083,43.715043],[-70.972716,43.570255],[-70.957234,43.561358],[-70.955017,43.554239],[-70.950838,43.551026],[-70.955252,43.540887],[-70.962153,43.541036],[-70.963531,43.536756],[-70.95822,43.531586],[-70.957214,43.524994],[-70.954066,43.52261],[-70.956856,43.512719],[-70.954755,43.509802],[-70.957958,43.508041],[-70.959185,43.499351],[-70.969572,43.486201],[-70.967968,43.480783],[-70.974245,43.47742],[-70.970946,43.4739],[-70.964542,43.473262],[-70.961428,43.469696],[-70.96045,43.466592],[-70.9669,43.450458],[-70.96164,43.443039],[-70.96115,43.438321],[-70.968782,43.434891],[-70.968359,43.429283],[-70.971039,43.425606],[-70.982898,43.419332],[-70.986812,43.414264],[-70.986677,43.403541],[-70.982565,43.39778],[-70.982876,43.394808],[-70.98739,43.393457],[-70.987649,43.389521],[-70.985205,43.386745],[-70.985965,43.380023],[-70.974156,43.362925],[-70.974863,43.357969],[-70.967229,43.343777],[-70.960439,43.341048],[-70.956528,43.334691],[-70.953034,43.333257],[-70.93711,43.337367],[-70.932735,43.33676],[-70.930783,43.329569],[-70.916421,43.320279],[-70.912004,43.319821],[-70.91246,43.308289],[-70.907405,43.304782],[-70.90231,43.304872],[-70.900386,43.301358],[-70.907405,43.293582],[-70.906005,43.291682],[-70.896304,43.285282],[-70.886504,43.282783],[-70.882804,43.273183],[-70.86323,43.265109],[-70.858207,43.256286],[-70.855082,43.255191],[-70.852015,43.256808],[-70.843302,43.254321],[-70.839213,43.251224],[-70.841059,43.249699],[-70.838678,43.242931],[-70.817865,43.237911],[-70.815453,43.229023],[-70.811852,43.228306],[-70.80964,43.225407],[-70.813119,43.217252],[-70.816903,43.214604],[-70.820763,43.19978],[-70.819344,43.193036],[-70.827201,43.189485],[-70.828301,43.186685],[-70.823501,43.174585],[-70.828301,43.168985],[-70.829101,43.157886],[-70.8338,43.146886],[-70.8268,43.127086],[-70.78388,43.100867],[-70.779098,43.095887],[-70.766398,43.092688],[-70.756397,43.079988],[-70.741897,43.077388],[-70.737897,43.073488],[-70.708896,43.074989],[-70.704696,43.070989],[-70.703799,43.059574],[-70.71363,43.056006],[-70.71355,43.042077],[-70.718936,43.03235],[-70.730426,43.025392],[-70.734363,43.013307],[-70.743793,43.008027],[-70.749969,42.991689],[-70.756701,42.991337],[-70.761474,42.986681],[-70.765222,42.975349],[-70.7718,42.968064],[-70.769673,42.964419],[-70.771729,42.961321],[-70.775597,42.957213],[-70.780383,42.955798],[-70.793996,42.93989],[-70.797806,42.930037],[-70.798153,42.920926],[-70.805971,42.916549],[-70.810069,42.909549],[-70.810999,42.892375],[-70.81586,42.88625],[-70.817296,42.87229],[-70.830795,42.868918],[-70.848625,42.860939],[-70.886136,42.88261],[-70.902768,42.88653],[-70.914886,42.886564],[-70.930799,42.884589],[-70.9665,42.868989],[-71.031201,42.859089],[-71.044401,42.848789],[-71.047501,42.844089],[-71.064201,42.806289],[-71.132503,42.821389],[-71.165603,42.808689],[-71.186104,42.790689],[-71.181803,42.73759],[-71.223904,42.746689],[-71.245504,42.742589],[-71.267905,42.72589],[-71.278929,42.711258],[-71.294205,42.69699],[-71.981402,42.713294],[-72.458519,42.726853],[-72.461001,42.733209],[-72.473071,42.745916],[-72.477615,42.761245],[-72.484878,42.76554],[-72.491122,42.772465],[-72.497949,42.772918],[-72.50069,42.767657],[-72.507985,42.764414],[-72.513105,42.763822],[-72.516082,42.765949],[-72.514836,42.771436],[-72.508372,42.77461],[-72.508858,42.779919],[-72.515838,42.78856],[-72.542784,42.808482],[-72.54855,42.842021],[-72.557247,42.853019],[-72.554232,42.860038],[-72.556214,42.86695],[-72.552834,42.884968],[-72.540708,42.889379],[-72.532777,42.896076],[-72.530218,42.911576],[-72.52443,42.915575],[-72.527431,42.943148],[-72.534554,42.949894],[-72.532186,42.954945],[-72.518422,42.96317],[-72.492597,42.967648],[-72.481706,42.973985],[-72.473827,42.972045],[-72.461627,42.982906],[-72.465335,42.989558],[-72.46294,42.996943],[-72.456936,43.001306],[-72.448714,43.001169],[-72.443762,43.006245],[-72.444635,43.010566],[-72.457035,43.017285],[-72.462397,43.02556],[-72.460252,43.040671],[-72.465896,43.047505],[-72.467363,43.052648],[-72.463812,43.057404],[-72.445202,43.071352],[-72.435316,43.083536],[-72.435191,43.086622],[-72.443051,43.100841],[-72.440587,43.106145],[-72.433129,43.112637],[-72.432972,43.119655],[-72.442933,43.130192],[-72.44078,43.131472],[-72.440905,43.135793],[-72.451986,43.138924],[-72.45689,43.146558],[-72.45714,43.148493],[-72.451802,43.153486],[-72.4521,43.161414]]]},\"properties\":{\"name\":\"New Hampshire\",\"nation\":\"USA \"}}]}","contact":"

Director, New England Water Science Center
U.S. Geological Survey
331 Commerce Way, Suite 2
Pembroke, NH 03275

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2019-08-26","noUsgsAuthors":false,"publicationDate":"2019-08-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Olson, Scott A. 0000-0002-1064-2125","orcid":"https://orcid.org/0000-0002-1064-2125","contributorId":210173,"corporation":false,"usgs":true,"family":"Olson","given":"Scott A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":766879,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meyerhofer, Abraham J. 0000-0001-7358-5714","orcid":"https://orcid.org/0000-0001-7358-5714","contributorId":217481,"corporation":false,"usgs":true,"family":"Meyerhofer","given":"Abraham","email":"","middleInitial":"J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":766880,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70204488,"text":"fs20193035 - 2019 - Santa Rosa's past and future earthquakes","interactions":[],"lastModifiedDate":"2019-08-26T14:45:49","indexId":"fs20193035","displayToPublicDate":"2019-08-26T09:20:03","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-3035","displayTitle":"Santa Rosa’s Past and Future Earthquakes","title":"Santa Rosa's past and future earthquakes","docAbstract":"

Santa Rosa is no stranger to earthquakes. This northern California city was damaged several times in the late 19th and early 20th centuries by shaking from earthquakes, culminating in the devastating earthquake of 1906, whose rupture passed 20 miles to the west of the city on the San Andreas Fault. Then in 1969, Santa Rosa was again strongly shaken and buildings were damaged by a pair of nearby, moderate-sized earthquakes on the Rodgers Creek Fault. Since then, scientists have learned how the underlying geology increases shaking damage in Santa Rosa, have mapped where the Rodgers Creek Fault runs beneath the city, and have discovered that this fault is capable of much larger earthquakes. Following the 1969 earthquakes, Santa Rosa rose to the challenge of improving seismic safety; however, continued progress is needed to increase seismic resilience and reduce the impact of future earthquakes.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193035","usgsCitation":"Hecker, S., McPhee, D.K., Langenheim, V.E., and Watt, J.T., 2019, Santa Rosa's past and future earthquakes: U.S. Geological Survey Fact Sheet 2019–3035, 4 p., https://doi.org/10.3133/fs20193035. ","productDescription":"4 p.","numberOfPages":"4","ipdsId":"IP-102642","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":366908,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3035/fs20193035.pdf","text":"Report","size":"5.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Fact Sheet 2019-3035"},{"id":366907,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3035/coverthb.jpg"}],"country":"United States","state":"California","city":"Santa Rosa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.12927246093751,\n 38.11727165830543\n ],\n [\n -122.26409912109375,\n 38.11727165830543\n ],\n [\n -122.26409912109375,\n 38.603993275591684\n ],\n [\n -123.12927246093751,\n 38.603993275591684\n ],\n [\n -123.12927246093751,\n 38.11727165830543\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Earthquake Science Center
U.S. Geological Survey
345 Middlefield Road, MS 977
Menlo Park, California 94025

","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2019-08-26","noUsgsAuthors":false,"publicationDate":"2019-08-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Hecker, Suzanne 0000-0002-5054-372X","orcid":"https://orcid.org/0000-0002-5054-372X","contributorId":217669,"corporation":false,"usgs":true,"family":"Hecker","given":"Suzanne","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":767213,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McPhee, Darcy K. 0000-0002-5177-3068","orcid":"https://orcid.org/0000-0002-5177-3068","contributorId":212789,"corporation":false,"usgs":true,"family":"McPhee","given":"Darcy","email":"","middleInitial":"K.","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":767214,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Langenheim, Victoria E. 0000-0003-2170-5213","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":206978,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":767215,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Watt, Janet T. 0000-0002-4759-3814","orcid":"https://orcid.org/0000-0002-4759-3814","contributorId":208207,"corporation":false,"usgs":true,"family":"Watt","given":"Janet T.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":767216,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70212591,"text":"70212591 - 2019 - A physically based method of combining ADCP velocity data with point samples to compute suspended-sand discharge -- Application to the Rhone River, France","interactions":[],"lastModifiedDate":"2022-01-11T17:36:48.408884","indexId":"70212591","displayToPublicDate":"2019-08-26T09:07:46","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"A physically based method of combining ADCP velocity data with point samples to compute suspended-sand discharge -- Application to the Rhone River, France","docAbstract":"

Measuring suspended-sand flux in rivers is a challenge since sand concentrations are highly variable in time and space throughout a river cross section. Most of the present methodologies rely on point or depth-integrated sampling (Nolan et al., 2005, Topping et al., 2016). The standard method estimates mean concentration and multiply it by discharge to compute the suspended-sand discharge. Here, we demonstrate methods of combining point suspended-sediment samples with ADCP (Acoustic Doppler Current Profiler) high-resolution depth and velocity measurements to improve vertical and lateral integration of concentration and flux. A preliminary version of this method is applied to data collected in the Rhône River in Lyon, France, during a 10-year flood in January 2018. Two options for vertically integrating the measured suspended-sediment concentrations were tested whereas lateral integration was based on nearest-neighbor interpolation only, as a baseline option. Sand flux results are similar, thus suggesting that vertical integration options may be less critical than lateral integration options that will be implemented and tested in future work.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of SEDHYD 2019","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SEDHYD 2019 Conference","conferenceDate":"June 24-28, 2019","conferenceLocation":"Reno, NV","language":"English","publisher":"Federal Interagency Sedimentation Conference (FISC) and Federal Interagency Hydrologic Modeling Conference (FIHMC)c.","usgsCitation":"Dramais, G., Camenen, B., Le Coz, J., Topping, D.J., Peteuil, C., and Pierrefeu, G., 2019, A physically based method of combining ADCP velocity data with point samples to compute suspended-sand discharge -- Application to the Rhone River, France, in Proceedings of SEDHYD 2019, v. 5, Reno, NV, June 24-28, 2019, p. 165-170.","productDescription":"6 p.","startPage":"165","endPage":"170","ipdsId":"IP-106094","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":377884,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":381654,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2019/#sedhyd-2019-proceedings"}],"country":"France","otherGeospatial":"Rhone River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 3.40576171875,\n 42.90816007196054\n ],\n [\n 7.91015625,\n 42.90816007196054\n ],\n [\n 7.91015625,\n 46.89023157359399\n ],\n [\n 3.40576171875,\n 46.89023157359399\n ],\n [\n 3.40576171875,\n 42.90816007196054\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dramais, Guillaume 0000-0002-2703-9314","orcid":"https://orcid.org/0000-0002-2703-9314","contributorId":238955,"corporation":false,"usgs":false,"family":"Dramais","given":"Guillaume","email":"","affiliations":[{"id":47837,"text":"Ph.D. student, IRSTEA, Flagstaff, Arizona","active":true,"usgs":false}],"preferred":false,"id":796940,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Camenen, Benoit","contributorId":238956,"corporation":false,"usgs":false,"family":"Camenen","given":"Benoit","email":"","affiliations":[{"id":47840,"text":"Scientist, IRSTEA, Lyon, France","active":true,"usgs":false}],"preferred":false,"id":796941,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Le Coz, Jerome","contributorId":190746,"corporation":false,"usgs":false,"family":"Le Coz","given":"Jerome","email":"","affiliations":[],"preferred":false,"id":796942,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Topping, David J. 0000-0002-2104-4577 dtopping@usgs.gov","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":140985,"corporation":false,"usgs":true,"family":"Topping","given":"David","email":"dtopping@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":796943,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peteuil, Christophe","contributorId":238957,"corporation":false,"usgs":false,"family":"Peteuil","given":"Christophe","email":"","affiliations":[{"id":47841,"text":"Senior Engineer, CNR, Lyon, France","active":true,"usgs":false}],"preferred":false,"id":796944,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pierrefeu, Gilles","contributorId":238958,"corporation":false,"usgs":false,"family":"Pierrefeu","given":"Gilles","email":"","affiliations":[{"id":47841,"text":"Senior Engineer, CNR, Lyon, France","active":true,"usgs":false}],"preferred":false,"id":796945,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70223459,"text":"70223459 - 2019 - A food web modeling assessment of Asian Carp impacts in the Middle and Upper Mississippi River, USA","interactions":[],"lastModifiedDate":"2021-08-27T14:02:47.223956","indexId":"70223459","displayToPublicDate":"2019-08-26T08:49:19","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5453,"text":"Food Webs","active":true,"publicationSubtype":{"id":10}},"title":"A food web modeling assessment of Asian Carp impacts in the Middle and Upper Mississippi River, USA","docAbstract":"

The invasion of non-native fishes has caused a great detriment to many of our native fishes. Since the introduction of invasive carps, such as Silver, Bighead, Common and Grass Carp, managers and researcher have been struggling to remove these species while also hypothesizing the detriment of further invasion. This study developed a food web model of four locations on the Mississippi River and used those models to assess the impacts of two scenarios: carp removal and carp invasion. In the Middle Mississippi River where these invasive carps are already present, the models found that it would take a sustained exploitation of up to 30% of initial biomass over an extended period to remove Grass Carp and up to 90% removal of initial biomass to remove Silver and Bighead Carp. In the locations where Silver, Bighead, and Grass Carp are not yet established (i.e., Pools 4,8, and 13) the invasion of these species could cause declines from 10 to 30% in initial biomass of native fishes as well as already established nonnative invasive species.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.fooweb.2019.e00120","usgsCitation":"Kramer, N.W., Phelps, Q.E., Pierce, C., and Colvin, M., 2019, A food web modeling assessment of Asian Carp impacts in the Middle and Upper Mississippi River, USA: Food Webs, v. 21, e00120, 9 p., https://doi.org/10.1016/j.fooweb.2019.e00120.","productDescription":"e00120, 9 p.","ipdsId":"IP-103332","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467338,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1330&context=nrem_pubs","text":"External Repository"},{"id":388582,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa, Minnesota, Missouri, Wisconsin","otherGeospatial":"Middle and Upper Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.5770263671875,\n 37.09900294387622\n ],\n [\n -89.35455322265625,\n 37.09900294387622\n ],\n [\n -89.35455322265625,\n 37.57070524233116\n ],\n [\n -89.5770263671875,\n 37.57070524233116\n ],\n [\n -89.5770263671875,\n 37.09900294387622\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.03659057617188,\n 44.31058342934815\n ],\n [\n -91.91024780273438,\n 44.31058342934815\n ],\n [\n -91.91024780273438,\n 44.414654778606874\n ],\n [\n -92.03659057617188,\n 44.414654778606874\n ],\n [\n -92.03659057617188,\n 44.31058342934815\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.2802505493164,\n 43.57516780951105\n ],\n [\n -91.2081527709961,\n 43.57516780951105\n ],\n [\n -91.2081527709961,\n 43.74108839068835\n ],\n [\n -91.2802505493164,\n 43.74108839068835\n ],\n [\n -91.2802505493164,\n 43.57516780951105\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.2581787109375,\n 41.83478149415483\n ],\n [\n -90.076904296875,\n 41.83478149415483\n ],\n [\n -90.076904296875,\n 42.157295553651664\n ],\n [\n -90.2581787109375,\n 42.157295553651664\n ],\n [\n -90.2581787109375,\n 41.83478149415483\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kramer, Nicholas W.","contributorId":264840,"corporation":false,"usgs":false,"family":"Kramer","given":"Nicholas","email":"","middleInitial":"W.","affiliations":[{"id":17621,"text":"Southeast Missouri State University","active":true,"usgs":false}],"preferred":false,"id":822082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phelps, Quinton E.","contributorId":264841,"corporation":false,"usgs":false,"family":"Phelps","given":"Quinton","email":"","middleInitial":"E.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":822083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pierce, Clay 0000-0001-5088-5431 cpierce@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-5431","contributorId":150492,"corporation":false,"usgs":true,"family":"Pierce","given":"Clay","email":"cpierce@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":822081,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Colvin, Michael E.","contributorId":264842,"corporation":false,"usgs":false,"family":"Colvin","given":"Michael E.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":822084,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70223496,"text":"70223496 - 2019 - Invertebrate prey contributions to juvenile Coho Salmon diet from riparian habitats along three Alaska streams: Implications for environmental change","interactions":[],"lastModifiedDate":"2021-08-31T13:39:20.889311","indexId":"70223496","displayToPublicDate":"2019-08-26T08:30:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Invertebrate prey contributions to juvenile Coho Salmon diet from riparian habitats along three Alaska streams: Implications for environmental change","docAbstract":"

Stream fish rely on a mix of terrestrial and aquatic prey sources. While the importance of terrestrial invertebrates as a food source for stream fish is well documented, the role of aquatic insects that emerge from the stream as winged adult insects (aquatic winged adults) and return to the stream as prey is less understood. In this study we determined the proportion of total diet for stream-rearing juvenile Coho Salmon (Oncorhynchus kisutch) that is derived from terrestrial and aquatic winged adult invertebrates which enter the stream from riparian habitats and consider how those cross-ecosystem prey contributions vary based on riparian habitat type. Study reaches were identified in three streams within the Kenai River watershed of Alaska that were representative of habitats found throughout the region and riparian vegetation was classified into grass/sedge, shrub and tree types using LiDAR. Juvenile Coho Salmon stomach contents were sampled seasonally in study reaches over a two-year period and ingested invertebrates were identified by taxa, life stage and origin. Our results showed that aquatic winged adult prey contributions to juvenile salmon diet were significantly lower in the grass/sedge study reach, and cross-ecosystem invertebrate prey represented a significantly higher proportion of juvenile salmon diet in the tree study reach. Invertebrate prey in the grass/sedge reach were composed primarily of the larval life stage of aquatic winged adults. These results suggest that change in riparian vegetation from tree/shrub to grass/sedge along Kenai streams as projected by regional climate change models, or that results from anthropogenic modification, will likely lead to lower availability of cross-ecosystem prey for stream fish. Management of riparian buffers along streams to preserve or increase occurrence of trees and shrubs is likely to help mitigate impacts of those possible changes.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02705060.2019.1642243","usgsCitation":"Grunblatt, J., Meyer, B., and Wipfli, M.S., 2019, Invertebrate prey contributions to juvenile Coho Salmon diet from riparian habitats along three Alaska streams: Implications for environmental change: Journal of Freshwater Ecology, v. 34, no. 1, p. 617-631, https://doi.org/10.1080/02705060.2019.1642243.","productDescription":"16 p.","startPage":"617","endPage":"631","ipdsId":"IP-103789","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":467339,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2019.1642243","text":"Publisher Index Page"},{"id":388688,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kenai watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -152.369384765625,\n 59.77852198502987\n ],\n [\n -148.919677734375,\n 59.77852198502987\n ],\n [\n -148.919677734375,\n 61.312451574838214\n ],\n [\n -152.369384765625,\n 61.312451574838214\n ],\n [\n -152.369384765625,\n 59.77852198502987\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"34","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-08-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Grunblatt, Jess","contributorId":264907,"corporation":false,"usgs":false,"family":"Grunblatt","given":"Jess","affiliations":[{"id":54579,"text":"uak","active":true,"usgs":false}],"preferred":false,"id":822179,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meyer, Benjamin E.","contributorId":264908,"corporation":false,"usgs":false,"family":"Meyer","given":"Benjamin E.","affiliations":[{"id":54579,"text":"uak","active":true,"usgs":false}],"preferred":false,"id":822180,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":822178,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70204839,"text":"sir20195067 - 2019 - Flood-inundation maps for a 23-mile reach of the Medina River at Bandera, Texas, 2018","interactions":[],"lastModifiedDate":"2019-08-26T05:37:05","indexId":"sir20195067","displayToPublicDate":"2019-08-26T05:36:50","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5067","displayTitle":"Flood-Inundation Maps for a 23-Mile Reach of the Medina River at Bandera, Texas, 2018","title":"Flood-inundation maps for a 23-mile reach of the Medina River at Bandera, Texas, 2018","docAbstract":"

In 2018, the U.S. Geological Survey (USGS), in cooperation with the Bandera County River Authority and Groundwater District and the Texas Water Development Board, studied floods through the period of record to create a library of flood-inundation maps for the Medina River at Bandera, Texas. Digital flood-inundation maps for a 23-mile reach of the Medina River at and near Bandera, from the confluence with Winans Creek to English Crossing Road, were developed. The flood-inundation maps depict estimates of the areal extent and depth of flooding corresponding to a range of different gage heights (gage height is commonly referred to as “stage,” or the water-surface elevation at a streamflow-gaging station) at USGS streamflow-gaging station 08178880 Medina River at Bandera, Tex. (hereinafter referred to as the “Bandera station”). Water-surface profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The stage-discharge (streamflow) relation effective in 2018 was used to calibrate the model, and stages from four recent flood events were used to independently validate the model. The calibrated hydraulic model was then used to compute 29 water-surface profiles for stages at 1-foot (ft) increments referenced to the station datum and ranging from 10 ft (near bankfull) to 38 ft, which exceeds the major flood stage of the National Weather Service Advanced Hydrologic Prediction Service of 24 ft. The simulated water-surface profiles were then combined with a geographic information system digital elevation model (derived from light detection and ranging data having a 0.4-ft vertical accuracy and 1.6-ft horizontal resolution) to delineate the area flooded for stages ranging from 10 to 38 ft.

The digital flood-inundation maps are delivered through the USGS Flood Inundation Mapper application that presents map libraries and provides detailed information on flood-inundation extents and stages for modeled sites. The flood-inundation maps developed in this study, in conjunction with the real-time stage data from the Bandera station, are intended to help guide the public in taking individual safety precautions and provide emergency management personnel with a tool to efficiently manage emergency flood operations and post-flood recovery efforts.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195067","collaboration":"Prepared in cooperation with the Bandera County River Authority and Groundwater District and the Texas Water Development Board","usgsCitation":"Choi, N., and Engel, F.L., 2019, Flood-inundation maps for a 23-mile reach of the Medina River at Bandera, Texas, 2018: U.S. Geological Survey Scientific Investigations Report 2019–5067, 15 p., https://doi.org/10.3133/sir20195067.","productDescription":"Report: viii, 15 p.; Fact Sheet: 2 p.; Data Release","numberOfPages":"27","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-104084","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":366755,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://doi.org/10.3133/fs20193043","text":"FS 2019–3043","size":"895 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019–3043","linkHelpText":" Flood Warning Toolset for the Medina River in Bandera County, Texas"},{"id":366756,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WYD6LS","text":"USGS data release ","linkHelpText":"Geospatial and survey data for flood-inundation maps in a 23-mile reach of the Medina River at Bandera, Texas, 2018"},{"id":366666,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5067/coverthb.jpg"},{"id":366667,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5067/sir20195067.pdf","text":"Report","size":"3.12 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5067"}],"contact":"

Director, Texas Water Science Center
U.S. Geological Survey
1505 Ferguson Lane
Austin, Texas 78754–4501

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2019-08-26","noUsgsAuthors":false,"publicationDate":"2019-08-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Choi, Namjeong 0000-0002-9526-0504","orcid":"https://orcid.org/0000-0002-9526-0504","contributorId":218207,"corporation":false,"usgs":true,"family":"Choi","given":"Namjeong","email":"","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":768691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engel, Frank L. 0000-0002-4253-2625","orcid":"https://orcid.org/0000-0002-4253-2625","contributorId":218208,"corporation":false,"usgs":true,"family":"Engel","given":"Frank","middleInitial":"L.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":768692,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70204706,"text":"fs20193043 - 2019 - Flood warning toolset for the Medina River in Bandera County, Texas","interactions":[],"lastModifiedDate":"2019-08-26T10:00:48","indexId":"fs20193043","displayToPublicDate":"2019-08-26T05:35:59","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-3043","displayTitle":"Flood Warning Toolset for the Medina River in Bandera County, Texas","title":"Flood warning toolset for the Medina River in Bandera County, Texas","docAbstract":"

Overview

Floods are the most common natural disaster in the United States. The Medina River in Bandera County, Texas, is in the Edwards Plateau, where high-intensity rain rates and steep terrain frequently contribute to severe flash flooding capable of causing loss of life and property. For example, the July 5, 2002, flood claimed a total of 12 lives in the central Texas area. The estimated peak discharge during this flood at U.S. Geological Survey (USGS) streamflow-gaging station 08178880 Medina River at Bandera, Tex., was 159,000 cubic feet per second (corresponding to a stage or gage height of 38.91 feet), causing significant flooding in Bandera near Mud Creek and farther downstream.

In 2018, the USGS, in cooperation with the Bandera County River Authority and Groundwater District and the Texas Water Development Board, developed a flood early-warning toolset to enhance the communication of flood risk and provide emergency management with additional information to improve flood response and mitigation. This toolset consists of a continuous streamflow-gage monitoring network, a well-calibrated hydraulic model of the Medina River, and a flood-inundation mapper application for the study area. A library of flood-inundation maps tied to the National Weather Service river stage forecast capability is included with the toolset.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193043","usgsCitation":"Engel, F.L., and Choi, N., 2019, Flood warning toolset for the Medina River in Bandera County, Texas: U.S. Geological Survey Fact Sheet 2019–3043, 2 p., https://doi.org/10.3133/fs20193043. ","productDescription":"Report: 2 p.; Companion Files","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-110193","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":366754,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://doi.org/10.3133/sir20195067","text":"SIR 2019–5067","size":"3.12 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5067","linkHelpText":" Flood-Inundation Maps for a 23-Mile Reach of the Medina River at Bandera, Texas, 2018"},{"id":366753,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3043/fs20193043.pdf","text":"Report","size":"895 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019–3043"},{"id":366752,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3043/coverthb.jpg"}],"country":"United States","state":"Texas","county":"Bandera County ","otherGeospatial":"Medina River","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-98.9253,29.7842],[-98.7869,29.7168],[-98.8056,29.6968],[-98.9213,29.5665],[-98.9245,29.562],[-98.9282,29.5593],[-98.9318,29.5588],[-98.9429,29.5585],[-98.9513,29.5581],[-98.9607,29.5578],[-98.9633,29.5578],[-98.9676,29.5546],[-98.9712,29.5533],[-98.9765,29.5547],[-98.978,29.5556],[-98.9811,29.5589],[-98.9832,29.5625],[-98.9837,29.5671],[-98.9836,29.5717],[-98.9819,29.5804],[-98.9818,29.5909],[-98.9801,29.5983],[-98.9779,29.606],[-98.9789,29.6102],[-98.9794,29.6129],[-98.982,29.6148],[-98.9909,29.6185],[-99.0103,29.6187],[-99.4132,29.6253],[-99.6033,29.6257],[-99.6031,29.9068],[-99.2839,29.905],[-99.1766,29.8946],[-98.9253,29.7842]]]},\"properties\":{\"name\":\"Bandera\",\"state\":\"TX\"}}]}","contact":"

Director, Texas Water Science Center
U.S. Geological Survey
1505 Ferguson Lane
Austin, Texas 78754–4501

","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2019-08-26","noUsgsAuthors":false,"publicationDate":"2019-08-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Engel, Frank L. 0000-0002-4253-2625","orcid":"https://orcid.org/0000-0002-4253-2625","contributorId":218208,"corporation":false,"usgs":true,"family":"Engel","given":"Frank","middleInitial":"L.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":768144,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Choi, Namjeong 0000-0002-9526-0504","orcid":"https://orcid.org/0000-0002-9526-0504","contributorId":218207,"corporation":false,"usgs":true,"family":"Choi","given":"Namjeong","email":"","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":768807,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70205135,"text":"70205135 - 2019 - Evaluating k-nearest neighbor (kNN) imputation models for species-level aboveground forest biomass mapping in northeast China","interactions":[],"lastModifiedDate":"2019-12-22T14:58:28","indexId":"70205135","displayToPublicDate":"2019-08-25T16:01:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Evaluating k-nearest neighbor (kNN) imputation models for species-level aboveground forest biomass mapping in northeast China","title":"Evaluating k-nearest neighbor (kNN) imputation models for species-level aboveground forest biomass mapping in northeast China","docAbstract":"

Quantifying spatially explicit or pixel-level aboveground forest biomass (AFB) across large regions is critical for measuring forest carbon sequestration capacity, assessing forest carbon balance, and revealing changes in the structure and function of forest ecosystems. When AFB is measured at the species level using widely available remote sensing data, regional changes in forest composition can readily be monitored. In this study, wall-to-wall maps of species-level AFB were generated for forests in Northeast China by integrating forest inventory data with Moderate Resolution Imaging Spectroradiometer (MODIS) images and environmental variables through applying the optimal k-nearest neighbor (kNN) imputation model. By comparing the prediction accuracy of 630 kNN models, we found that the models with random forest (RF) as the distance metric showed the highest accuracy. Compared to the use of single-month MODIS data for September, there was no appreciable improvement for the estimation accuracy of species-level AFB by using multi-month MODIS data. When k > 7, the accuracy improvement of the RF-based kNN models using the single MODIS predictors for September was essentially negligible. Therefore, the kNN model using the RF distance metric, single-month (September) MODIS predictors and k = 7 was the optimal model to impute the species-level AFB for entire Northeast China. Our imputation results showed that average AFB of all species over Northeast China was 101.98 Mg/ha around 2000. Among 17 widespread species, larch was most dominant, with the largest AFB (20.88 Mg/ha), followed by white birch (13.84 Mg/ha). Amur corktree and willow had low AFB (0.91 and 0.96 Mg/ha, respectively). Environmental variables (e.g., climate and topography) had strong relationships with species-level AFB. By integrating forest inventory data and remote sensing data with complete spatial coverage using the optimal kNN model, we successfully mapped the AFB distribution of the 17 tree species over Northeast China. We also evaluated the accuracy of AFB at different spatial scales. The AFB estimation accuracy significantly improved from stand level up to the ecotype level, indicating that the AFB maps generated from this study are more suitable to apply to forest ecosystem models (e.g., LINKAGES) which require species-level attributes at the ecotype scale.

","language":"English","publisher":"MDPI","doi":"10.3390/rs11172005","usgsCitation":"Fu, Y., He, H.S., Hawbaker, T., Henne, P., Zhu, Z., and Larsen, D.R., 2019, Evaluating k-nearest neighbor (kNN) imputation models for species-level aboveground forest biomass mapping in northeast China: Remote Sensing, v. 17, no. 11, p. 1-20, https://doi.org/10.3390/rs11172005.","productDescription":"20 p.","startPage":"1","endPage":"20","ipdsId":"IP-109980","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"links":[{"id":467340,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs11172005","text":"Publisher Index Page"},{"id":437358,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MOB5E3","text":"USGS data release","linkHelpText":"Data release for: Evaluating k-nearest neighbor (kNN) imputation models for species-level aboveground forest biomass mapping in northeast China"},{"id":367198,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 124.8046875,\n 40.3130432088809\n ],\n [\n 129.90234375,\n 43.32517767999296\n ],\n [\n 131.484375,\n 42.293564192170095\n ],\n [\n 135.17578125,\n 48.45835188280866\n ],\n [\n 130.95703125,\n 47.87214396888731\n ],\n [\n 124.27734374999999,\n 53.54030739150022\n ],\n [\n 120.41015624999999,\n 52.696361078274485\n ],\n [\n 118.47656249999999,\n 49.61070993807422\n ],\n [\n 116.54296874999999,\n 49.724479188712984\n ],\n [\n 115.83984375,\n 47.87214396888731\n ],\n [\n 119.00390625,\n 46.92025531537451\n ],\n [\n 110.91796875,\n 44.465151013519616\n ],\n [\n 118.65234374999999,\n 37.996162679728116\n ],\n [\n 124.8046875,\n 40.3130432088809\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"17","issue":"11","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Fu, Yuanyuan","contributorId":218762,"corporation":false,"usgs":false,"family":"Fu","given":"Yuanyuan","email":"","affiliations":[{"id":39903,"text":"School of Geographical Sciences, Northeast Normal University, Changchun, China","active":true,"usgs":false}],"preferred":false,"id":770181,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"He, Hong S","contributorId":218764,"corporation":false,"usgs":false,"family":"He","given":"Hong","email":"","middleInitial":"S","affiliations":[{"id":39904,"text":"University of Missouri, School of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":770182,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":568,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":770183,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Henne, Paul D. 0000-0003-1211-5545 phenne@usgs.gov","orcid":"https://orcid.org/0000-0003-1211-5545","contributorId":169166,"corporation":false,"usgs":true,"family":"Henne","given":"Paul D.","email":"phenne@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":770180,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":770184,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Larsen, David R. 0000-0001-5861-8952","orcid":"https://orcid.org/0000-0001-5861-8952","contributorId":218763,"corporation":false,"usgs":false,"family":"Larsen","given":"David","email":"","middleInitial":"R.","affiliations":[{"id":36845,"text":"School of Natural Resources, University of Missouri","active":true,"usgs":false}],"preferred":false,"id":770185,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70204968,"text":"70204968 - 2019 - Acoustic tag retention rate varies between juvenile green and hawksbill sea turtles","interactions":[],"lastModifiedDate":"2019-10-11T15:49:10","indexId":"70204968","displayToPublicDate":"2019-08-24T14:33:09","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":773,"text":"Animal Biotelemetry","active":true,"publicationSubtype":{"id":10}},"title":"Acoustic tag retention rate varies between juvenile green and hawksbill sea turtles","docAbstract":"Background\nBiotelemetry has become a key tool for studying marine animals in the last decade, and a wide range of electronic tags are now available for answering a range of research questions. However, comparatively, less attention has been given to attachment methods for these tags and the implications of tag retention on study design, especially when designing a comparative study looking at multiple species. Here, we reported our findings on acoustic tag retention rates for juveniles of two species of marine turtle: the green sea turtle (Chelonia mydas) and the hawksbill sea turtle (Eretmochelys imbricata). We captured both species twice annually (spring and fall) from 2012 through 2017, as part of a capture–mark–recapture study at Buck Island Reef National Monument, St. Croix, U.S. Virgin Islands. We assessed tag retention rates using physical recaptures of turtles previously outfitted with an acoustic tag.\n\nResults\nWe deployed 72 acoustic tags on 60 juvenile greens and 37 acoustic tags on 29 hawksbills. We estimated the half-life for tags on greens to be 150 days (95% CI 117–188 days), whereas the half-life for tags on hawksbills was 1077 days (95% CI 870–2118 days), a marked difference. We observed that tag attachment holes, drilled into the posterior marginal scutes, migrated laterally towards the outer edge of the marginals in both species. Green turtles tended to exhibit tear-outs, as their attachment holes wore and/or tags grew near the edge of their scutes, whereas hawksbills tended to maintain the structure of these holes and did not exhibit these tear-outs.\n\nConclusions\nWe conclude that hawksbills can be tagged with long-battery-life acoustic tags for long-term studies of habitat use and movement patterns, whereas greens are likely to shed their tags in the 1st year, making long-term studies difficult. This study is the first clear evidence that tagging protocols should vary between species of hard-shelled turtles. Furthermore, shed tags on the seafloor continue to be detected by acoustic receivers, creating a challenge in data filtering before analysis. We encourage future research into an efficient method for filtering these data points prior to analysis.","language":"English","publisher":"Springer","doi":"10.1186/s40317-019-0177-3","usgsCitation":"Selby, T., Smith, B., Cherkiss, M., Crowder, A., Hillis-Starr, Z., Pollock, C., and Hart, K., 2019, Acoustic tag retention rate varies between juvenile green and hawksbill sea turtles: Animal Biotelemetry, v. 7, Article 15, 8 p., https://doi.org/10.1186/s40317-019-0177-3.","productDescription":"Article 15, 8 p.","ipdsId":"IP-105289","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467341,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40317-019-0177-3","text":"Publisher Index Page"},{"id":437359,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P998D45N","text":"USGS data release","linkHelpText":"Capture histories and tag retention of acoustic-tagged green (Chelonia mydas) and hawksbill (Eretmochelys imbricata) sea turtles, Buck Island Reef National Monument, U.S. Virgin Islands, 2012-2017"},{"id":366973,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Selby, Thomas 0000-0003-2116-0807","orcid":"https://orcid.org/0000-0003-2116-0807","contributorId":218465,"corporation":false,"usgs":true,"family":"Selby","given":"Thomas","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":769318,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Brian 0000-0002-0531-0492 bjsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-0531-0492","contributorId":202305,"corporation":false,"usgs":true,"family":"Smith","given":"Brian","email":"bjsmith@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":773012,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cherkiss, Michael 0000-0002-7802-6791","orcid":"https://orcid.org/0000-0002-7802-6791","contributorId":218466,"corporation":false,"usgs":true,"family":"Cherkiss","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":769319,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crowder, Andrew 0000-0001-6978-6265","orcid":"https://orcid.org/0000-0001-6978-6265","contributorId":218467,"corporation":false,"usgs":true,"family":"Crowder","given":"Andrew","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":769320,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hillis-Starr, Zandy","contributorId":179152,"corporation":false,"usgs":false,"family":"Hillis-Starr","given":"Zandy","email":"","affiliations":[],"preferred":false,"id":769321,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pollock, Clayton","contributorId":168497,"corporation":false,"usgs":false,"family":"Pollock","given":"Clayton","affiliations":[],"preferred":false,"id":769322,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":218468,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":769323,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70212617,"text":"70212617 - 2019 - One hundred and sixty years of Grand Canyon geological mapping","interactions":[],"lastModifiedDate":"2020-08-24T17:28:02.931452","indexId":"70212617","displayToPublicDate":"2019-08-24T09:38:26","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6463,"text":"Journal of Arizona History","active":true,"publicationSubtype":{"id":10}},"title":"One hundred and sixty years of Grand Canyon geological mapping","docAbstract":"

No abstract available. 

","language":"English","publisher":"Arizona Historical Society","usgsCitation":"Karlstrom, K., Crossey, L., Huntoon, P.W., Billingsley, G., Timmons, M., and Crow, R.S., 2019, One hundred and sixty years of Grand Canyon geological mapping: Journal of Arizona History, v. 60, no. 4, p. 655-674.","productDescription":"20 p.","startPage":"655","endPage":"674","ipdsId":"IP-108372","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":377793,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":377792,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://muse.jhu.edu/article/744817"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.532958984375,\n 35.67068501330236\n ],\n [\n -111.5496826171875,\n 35.67068501330236\n ],\n [\n -111.5496826171875,\n 36.328402729422656\n ],\n [\n -112.532958984375,\n 36.328402729422656\n ],\n [\n -112.532958984375,\n 35.67068501330236\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"60","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Karlstrom, Karl","contributorId":218165,"corporation":false,"usgs":false,"family":"Karlstrom","given":"Karl","affiliations":[{"id":16658,"text":"UNM","active":true,"usgs":false}],"preferred":false,"id":797111,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crossey, Laura","contributorId":24485,"corporation":false,"usgs":true,"family":"Crossey","given":"Laura","affiliations":[],"preferred":false,"id":797112,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huntoon, Peter W.","contributorId":239536,"corporation":false,"usgs":false,"family":"Huntoon","given":"Peter","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":797113,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Billingsley, George 0000-0001-6024-569X gbillingsley@usgs.gov","orcid":"https://orcid.org/0000-0001-6024-569X","contributorId":1115,"corporation":false,"usgs":true,"family":"Billingsley","given":"George","email":"gbillingsley@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":797114,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Timmons, Michael","contributorId":239537,"corporation":false,"usgs":false,"family":"Timmons","given":"Michael","email":"","affiliations":[],"preferred":false,"id":797115,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Crow, Ryan S. 0000-0002-2403-6361 rcrow@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-6361","contributorId":5792,"corporation":false,"usgs":true,"family":"Crow","given":"Ryan","email":"rcrow@usgs.gov","middleInitial":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":797116,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70254786,"text":"70254786 - 2019 - Strategic conservation for lesser prairie-chickens among landscapes of varying anthropogenic influence","interactions":[],"lastModifiedDate":"2024-06-07T14:20:41.927474","indexId":"70254786","displayToPublicDate":"2019-08-24T09:10:25","publicationYear":"2019","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":"Strategic conservation for lesser prairie-chickens among landscapes of varying anthropogenic influence","docAbstract":"

For millennia grasslands have provided a myriad of ecosystem services and have been coupled with human resource use. The loss of 46% of grasslands worldwide necessitates the need for conservation that is spatially, temporally, and socioeconomically strategic. In the Southern Great Plains of the United States, conversion of native grasslands to cropland, woody encroachment, and establishment of vertical anthropogenic features have made large intact grasslands rare for lesser prairie-chickens (Tympanuchus pallidicinctus). However, it remains unclear how the spatial distribution of grasslands and anthropogenic features constrain populations and influence conservation. We estimated the distribution of lesser prairie-chickens using data from individuals marked with GPS transmitters in Kansas and Colorado, USA, and empirically derived relationships with anthropogenic structure densities and grassland composition. Our model suggested decreased probability of use in 2-km radius (12.6 km2) landscapes that had greater than two vertical features, two oil wells, 8 km of county roads, and 0.15 km of major roads or transmission lines. Predicted probability of use was greatest in 5-km radius landscapes that were 77% grassland. Based on our model predictions, ~10% of the current expected lesser prairie-chicken distribution was available as habitat. We used our estimated species distribution to provide spatially explicit prescriptions for CRP enrollment and tree removal in locations most likely to benefit lesser prairie-chickens. Spatially incentivized CRP sign up has the potential to provide 4189 km2 of additional habitat and strategic application of tree removal has the potential to restore 1154 km2. Tree removal and CRP enrollment are conservation tools that can align with landowner goals and are much more likely to be effective on privately owned working lands.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2019.108213","usgsCitation":"Sullins, D.S., Haukos, D.A., Lautenbach, J.M., Lautenbach, J., Robinson, S.G., Rice, M.B., Sandercock, B.K., Kraft, J.D., Plumb, R.T., Reitz, J., Hutchinson, J.M., and Hagen, C., 2019, Strategic conservation for lesser prairie-chickens among landscapes of varying anthropogenic influence: Biological Conservation, v. 238, 108213, 10 p., https://doi.org/10.1016/j.biocon.2019.108213.","productDescription":"108213, 10 p.","ipdsId":"IP-105616","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":467342,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2019.108213","text":"Publisher Index Page"},{"id":429644,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Kansas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -103.72145468354752,\n 39.86812103477851\n ],\n [\n -103.72145468354752,\n 37.00372049543908\n ],\n [\n -97.7109610420592,\n 37.00372049543908\n ],\n [\n -97.7109610420592,\n 39.86812103477851\n ],\n [\n -103.72145468354752,\n 39.86812103477851\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"238","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sullins, Daniel S.","contributorId":166689,"corporation":false,"usgs":false,"family":"Sullins","given":"Daniel","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":902538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":902539,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lautenbach, Joseph M.","contributorId":172788,"corporation":false,"usgs":false,"family":"Lautenbach","given":"Joseph","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":902540,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lautenbach, Jonathan","contributorId":272579,"corporation":false,"usgs":false,"family":"Lautenbach","given":"Jonathan","affiliations":[{"id":48533,"text":"ksu","active":true,"usgs":false}],"preferred":false,"id":902541,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robinson, Samantha G.","contributorId":172786,"corporation":false,"usgs":false,"family":"Robinson","given":"Samantha","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":902542,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rice, Mindy B.","contributorId":214399,"corporation":false,"usgs":false,"family":"Rice","given":"Mindy","email":"","middleInitial":"B.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":902543,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sandercock, Brett K.","contributorId":95816,"corporation":false,"usgs":true,"family":"Sandercock","given":"Brett","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":902544,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kraft, John D.","contributorId":172789,"corporation":false,"usgs":false,"family":"Kraft","given":"John","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":902545,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Plumb, Reid T.","contributorId":172787,"corporation":false,"usgs":false,"family":"Plumb","given":"Reid","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":902546,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Reitz, Jonathan H.","contributorId":337597,"corporation":false,"usgs":false,"family":"Reitz","given":"Jonathan H.","affiliations":[{"id":40103,"text":"cdpw","active":true,"usgs":false}],"preferred":false,"id":902547,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hutchinson, J. M. Shawn","contributorId":337599,"corporation":false,"usgs":false,"family":"Hutchinson","given":"J.","email":"","middleInitial":"M. Shawn","affiliations":[{"id":48533,"text":"ksu","active":true,"usgs":false}],"preferred":false,"id":902548,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hagen, Christian A.","contributorId":279696,"corporation":false,"usgs":false,"family":"Hagen","given":"Christian A.","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":902549,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70223799,"text":"70223799 - 2019 - Influence of climate change and postdelisting management on long-term population viability of the conservation-reliant Kirtland's Warbler","interactions":[],"lastModifiedDate":"2021-09-08T12:39:32.771645","indexId":"70223799","displayToPublicDate":"2019-08-24T07:36:04","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Influence of climate change and postdelisting management on long-term population viability of the conservation-reliant Kirtland's Warbler","docAbstract":"

Rapid global climate change is resulting in novel abiotic and biotic conditions and interactions. Identifying management strategies that maximize probability of long-term persistence requires an understanding of the vulnerability of species to environmental changes. We sought to quantify the vulnerability of Kirtland's Warbler (Setophaga kirtlandii), a rare Neotropical migratory songbird that breeds almost exclusively in the Lower Peninsula of Michigan and winters in the Bahamian Archipelago, to projected environmental changes on the breeding and wintering grounds. We developed a population-level simulation model that incorporates the influence of annual environmental conditions on the breeding and wintering grounds, and parameterized the model using empirical relationships. We simulated independent and additive effects of reduced breeding grounds habitat quantity and quality, and wintering grounds habitat quality, on population viability. Our results indicated the Kirtland's Warbler population is stable under current environmental and management conditions. Reduced breeding grounds habitat quantity resulted in reductions of the stable population size, but did not cause extinction under the scenarios we examined. In contrast, projected large reductions in wintering grounds precipitation caused the population to decline, with risk of extinction magnified when breeding habitat quantity or quality also decreased. Our study indicates that probability of long-term persistence for Kirtland's Warbler will depend on climate change impacts to wintering grounds habitat quality and contributes to the growing literature documenting the importance of considering the full annual cycle for understanding population dynamics of migratory species.

","language":"English","publisher":"Wiley","doi":"10.1002/ece3.5547","usgsCitation":"Brown, D., Donner, D., Ribic, C., and Bocetti, C., 2019, Influence of climate change and postdelisting management on long-term population viability of the conservation-reliant Kirtland's Warbler: Ecology and Evolution, v. 9, no. 18, p. 10263-10276, https://doi.org/10.1002/ece3.5547.","productDescription":"14 p.","startPage":"10263","endPage":"10276","ipdsId":"IP-105478","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467343,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.5547","text":"Publisher Index Page"},{"id":388938,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Bahamas, United States","state":"Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.07958984375,\n 23.60426184707018\n ],\n [\n -75.43212890625,\n 23.60426184707018\n ],\n [\n -75.43212890625,\n 27.039556602163195\n ],\n [\n -79.07958984375,\n 27.039556602163195\n ],\n [\n -79.07958984375,\n 23.60426184707018\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.15478515625,\n 43.5326204268101\n ],\n [\n -83.49609375,\n 43.5326204268101\n ],\n [\n -83.49609375,\n 45.644768217751924\n ],\n [\n -86.15478515625,\n 45.644768217751924\n ],\n [\n -86.15478515625,\n 43.5326204268101\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"18","noUsgsAuthors":false,"publicationDate":"2019-08-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Brown, Donald J.","contributorId":265421,"corporation":false,"usgs":false,"family":"Brown","given":"Donald J.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":822723,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donner, Deahn M.","contributorId":265422,"corporation":false,"usgs":false,"family":"Donner","given":"Deahn M.","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":822724,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ribic, Christine 0000-0003-2583-1778 caribic@usgs.gov","orcid":"https://orcid.org/0000-0003-2583-1778","contributorId":147952,"corporation":false,"usgs":true,"family":"Ribic","given":"Christine","email":"caribic@usgs.gov","affiliations":[{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":822722,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bocetti, Carol I.","contributorId":265423,"corporation":false,"usgs":false,"family":"Bocetti","given":"Carol I.","affiliations":[{"id":18003,"text":"California University of Pennsylvania","active":true,"usgs":false}],"preferred":false,"id":822725,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70207981,"text":"70207981 - 2019 - Balancing sampling intensity against spatial coverage for a community science monitoring programme","interactions":[],"lastModifiedDate":"2020-01-22T15:32:09","indexId":"70207981","displayToPublicDate":"2019-08-23T15:14:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Balancing sampling intensity against spatial coverage for a community science monitoring programme","docAbstract":"
  1. Community science is an increasingly integral part of biodiversity research and monitoring, often achieving broad spatial and temporal coverage but lower sampling intensity than studies conducted by professional scientists. When designing a community‐science monitoring programme, careful assessment of sampling designs that could be both feasible and successful at meeting programme goals is essential.
  2. Monarch butterflies (Danaus plexippus) are the focus of several successful community‐science projects in the U.S., but broader coverage is needed to monitor breeding areas and explain population declines observed in overwintering areas. The U.S. Monarch Conservation Science Partnership's Integrated Monarch Monitoring Program (IMMP) will representatively monitor monarchs and milkweed across North America. We performed a simulation‐based power analysis to predict trade‐offs between sampling breadth (number of sites and years) and sampling intensity (number of visits or subplots per site and year) for the IMMP. We evaluated whether each sampling design would produce sufficient statistical power to detect population trends and differences among land‐use sectors in densities of milkweed, monarch eggs, and adult monarchs.
  3. Sampling breadth had much stronger effects than sampling intensity on statistical power for all three monitoring targets. Depending on land‐use sector, monitoring 400–800 sites over 10–15 years would detect trends in densities of milkweed and adult monarchs, but no scenarios were successful for monarch eggs. Sampling 400–800 sites would also detect small (for adult monarchs) to large (for milkweed) differences among land‐use sectors in density of all three monitoring targets within the first 2–5 years. As more data become available from the IMMP, the sampling goals can be updated.
  4. Synthesis and applications. Careful sample design is an essential step in developing a successful monitoring programme. For monarchs and milkweed, we found that sampling breadth (number of sites and years) had a much stronger effect on statistical power than sampling intensity (number of visits or subsamples per site), suggesting field protocols could be tailored to maximize recruitment and retention of volunteers by minimizing the effort required to monitor each site. Many long‐term monitoring programmes might similarly benefit from evaluating the statistical trade‐offs between sampling breadth and intensity in their sampling designs.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.13491","usgsCitation":"Weiser, E.L., Diffendorfer, J.E., Grundel, R., Lopez Hoffman, L., Pecoraro, S., Semmens, D.J., and Thogmartin, W.E., 2019, Balancing sampling intensity against spatial coverage for a community science monitoring programme: Journal of Applied Ecology, v. 56, no. 10, p. 2252-2263, https://doi.org/10.1111/1365-2664.13491.","productDescription":"12 p.","startPage":"2252","endPage":"2263","ipdsId":"IP-096552","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":467344,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.13491","text":"Publisher Index Page"},{"id":437360,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98253JV","text":"USGS data release","linkHelpText":"Power analysis for monarchs and milkweed code"},{"id":371466,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.52685546875,\n 14.32825967774278\n ],\n [\n -92.04345703125,\n 15.178180945596363\n ],\n [\n -91.669921875,\n 16.130262012034756\n ],\n [\n -90.50537109375,\n 16.04581345375217\n ],\n [\n -91.47216796875,\n 17.24574420800713\n ],\n [\n -90.90087890624999,\n 17.8742034396575\n ],\n [\n -89.27490234375,\n 17.8742034396575\n ],\n [\n -88.681640625,\n 18.312810846425442\n ],\n [\n -88.04443359375,\n 18.06231230454674\n ],\n [\n -86.572265625,\n 21.002471054356725\n ],\n [\n -87.01171875,\n 21.657428197370653\n ],\n [\n -90.28564453124999,\n 21.3303150734318\n ],\n [\n -92.10937499999999,\n 18.625424540701264\n ],\n [\n -94.8779296875,\n 18.542116654448996\n ],\n [\n -96.35009765625,\n 19.642587534013032\n ],\n [\n -97.7783203125,\n 22.816694126899844\n ],\n [\n -97.09716796875,\n 26.017297563851745\n ],\n [\n -96.74560546875,\n 28.168875180063345\n ],\n [\n -93.88916015625,\n 29.668962525992505\n ],\n [\n -91.20849609375,\n 29.209713225868185\n ],\n [\n -89.384765625,\n 28.69058765425071\n ],\n [\n -88.52783203125,\n 29.420460341013133\n ],\n [\n -87.69287109375,\n 30.14512718337613\n ],\n [\n -86.24267578125,\n 30.20211367909724\n ],\n [\n -85.10009765625,\n 29.516110386062277\n ],\n [\n -83.82568359375,\n 29.916852233070173\n ],\n [\n -82.81494140625,\n 28.729130483430154\n ],\n [\n -82.94677734375,\n 27.800209937418252\n ],\n [\n -82.02392578125,\n 25.70093788144426\n ],\n [\n -81.45263671875,\n 25.12539261151203\n ],\n [\n -82.265625,\n 24.407137917727667\n ],\n [\n -80.04638671875,\n 24.806681353851964\n ],\n [\n -79.62890625,\n 27.01998400798257\n ],\n [\n -81.0791015625,\n 30.996445897426373\n ],\n [\n -76.22314453125,\n 34.75966612466248\n ],\n [\n -74.94873046875,\n 35.567980458012094\n ],\n [\n -75.60791015625,\n 37.21283151445594\n ],\n [\n -73.65234375,\n 40.12849105685408\n ],\n [\n -71.19140625,\n 41.178653972331674\n ],\n [\n -69.3896484375,\n 40.9964840143779\n ],\n [\n -70.07080078125,\n 42.52069952914966\n ],\n [\n -70.33447265624999,\n 42.98857645832184\n ],\n [\n -68.75244140625,\n 43.644025847699496\n ],\n [\n -67.12646484375,\n 44.18220395771566\n ],\n [\n -65.63232421875,\n 43.197167282501276\n ],\n [\n -52.49267578125,\n 46.694667307773116\n ],\n [\n -53.26171875,\n 50.00773901463687\n ],\n [\n -56.77734375,\n 54.96500166110205\n ],\n [\n -63.984375,\n 60.68393876805448\n ],\n [\n -59.58984374999999,\n 67.7427590666639\n ],\n [\n -80.5078125,\n 76.22690740640385\n ],\n [\n -107.57812499999999,\n 77.69287033641928\n ],\n [\n -119.35546875000001,\n 77.95241384715757\n ],\n [\n -123.92578125,\n 76.26869465080624\n ],\n [\n -128.49609375,\n 71.18775391813158\n ],\n [\n -140.9765625,\n 69.83962194067463\n ],\n [\n -141.328125,\n 60.930432202923335\n ],\n [\n -134.296875,\n 59.44507509904714\n ],\n [\n -130.78125,\n 55.57834467218206\n ],\n [\n -133.59375,\n 53.9560855309879\n ],\n [\n -124.62890625,\n 47.87214396888731\n ],\n [\n -124.45312499999999,\n 40.58058466412761\n ],\n [\n -121.28906250000001,\n 34.30714385628804\n ],\n [\n -110.390625,\n 22.105998799750566\n ],\n [\n -98.26171875,\n 15.623036831528264\n ],\n [\n -92.52685546875,\n 14.32825967774278\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"56","issue":"10","noUsgsAuthors":false,"publicationDate":"2019-09-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Weiser, Emily L. 0000-0003-1598-659X","orcid":"https://orcid.org/0000-0003-1598-659X","contributorId":213770,"corporation":false,"usgs":true,"family":"Weiser","given":"Emily","email":"","middleInitial":"L.","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":780024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diffendorfer, Jay E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":55137,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"Jay","email":"jediffendorfer@usgs.gov","middleInitial":"E.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":780025,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grundel, Ralph 0000-0002-2949-7087 rgrundel@usgs.gov","orcid":"https://orcid.org/0000-0002-2949-7087","contributorId":2444,"corporation":false,"usgs":true,"family":"Grundel","given":"Ralph","email":"rgrundel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":780026,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lopez Hoffman, Laura","contributorId":201605,"corporation":false,"usgs":false,"family":"Lopez Hoffman","given":"Laura","email":"","affiliations":[{"id":28236,"text":"Univ of Arizona","active":true,"usgs":false}],"preferred":false,"id":780027,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pecoraro, Samuel 0000-0002-3435-649X","orcid":"https://orcid.org/0000-0002-3435-649X","contributorId":221137,"corporation":false,"usgs":true,"family":"Pecoraro","given":"Samuel","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":780028,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Semmens, Darius J. 0000-0001-7924-6529 dsemmens@usgs.gov","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":1714,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius","email":"dsemmens@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":780029,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":780030,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70204882,"text":"70204882 - 2019 - Measuring suspended sediment in sand-bedded rivers using down-looking acoustic doppler current profilers","interactions":[],"lastModifiedDate":"2019-08-23T11:59:58","indexId":"70204882","displayToPublicDate":"2019-08-23T11:53:53","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Measuring suspended sediment in sand-bedded rivers using down-looking acoustic doppler current profilers","docAbstract":"The use of side-looking acoustic Doppler velocity meters (ADVMs) to estimate fluvial\nsuspended-sediment concentrations (SSC) has become more operational by the U.S. Geological Survey in recent years; however, direct transfer of these techniques to down-looking acoustic Doppler current profilers (ADCPs) currently is not widely feasible. Key assumptions in the sidelooking ADVM method related to sediment homogeneity within the acoustic measurement volume are almost never met in wide, sand-bedded rivers because SSC and particle size commonly vary with depth and location in the river cross section. The use of ADCPs to estimate SSC has been investigated by researchers, but the requirements and limitations of an operational method that could be successfully applied at many locations are not well defined. If an operational method could be developed, the use of ADCPs, which are routinely used for flow measurements, would revolutionize sediment science by providing rapid measurements of\nsediment flux and spatial distribution. We collected detailed datasets in six sand-bedded rivers in the U.S. in 2016-2018, to evaluate the efficacy of using down-looking ADCPs of multiple frequencies to estimate SSC. The datasets included replicate sets of point and depth-integrated suspended-sediment samples and stationary and cross-sectional backscatter profiles using multiple ADCPs with differing frequencies. Reasonable calibrations were developed at all sites measured when calibrating to the coarse fraction (R2 0.66 to 0.98 with slopes close to 0.1 using 1200kHz ADCPs). Calibrations to the fines fraction were problematic because acoustic backscatter response was dominated by coarse particles when present, and substantial attenuation was contributed by coarse particles at some sites. A sensitivity analysis on minimum datasets showed that good calibrations could be developed using two verticals of data collected over a range of backscatter and sediment conditions, with a minimum of three points sampled for sediment within each vertical. Overall, results to date show great promise in using ADCPs to rapidly estimate and visualize SSC with high spatial resolution, and a new beta software tool called Sediment Transect Acoustics simplifies data processing. Improvements are underway to the beta software used in processing to allow incorporation of more acoustic and sediment characteristics and to estimate SSC in areas of the river cross section unmeasured by the ADCP.","conferenceTitle":"Joint Federal Interagency Sedimentation and Hydrologic Modeling Conference","conferenceDate":"Reno, Nevada","conferenceLocation":"June 24-28, 2019","language":"English","publisher":"SEDHYD, Inc.","usgsCitation":"Wood, M.S., Szupiany, R.N., Boldt, J.A., Straub, T.D., and Domanski, M.M., 2019, Measuring suspended sediment in sand-bedded rivers using down-looking acoustic doppler current profilers, Joint Federal Interagency Sedimentation and Hydrologic Modeling Conference, June 24-28, 2019, Reno, Nevada, 15 p.","productDescription":"15 p.","ipdsId":"IP-105706","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":366862,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366791,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2019/openconf/modules/request.php?module=oc_program&action=view.php&id=157&file=1/157.pdf"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wood, Molly S. 0000-0002-5184-8306 mswood@usgs.gov","orcid":"https://orcid.org/0000-0002-5184-8306","contributorId":788,"corporation":false,"usgs":true,"family":"Wood","given":"Molly","email":"mswood@usgs.gov","middleInitial":"S.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":768874,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Szupiany, Ricardo N.","contributorId":189755,"corporation":false,"usgs":false,"family":"Szupiany","given":"Ricardo","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":768875,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boldt, Justin A. 0000-0002-0771-3658","orcid":"https://orcid.org/0000-0002-0771-3658","contributorId":207849,"corporation":false,"usgs":true,"family":"Boldt","given":"Justin","email":"","middleInitial":"A.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":768876,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Straub, Timothy D. 0000-0002-5896-0851","orcid":"https://orcid.org/0000-0002-5896-0851","contributorId":215662,"corporation":false,"usgs":true,"family":"Straub","given":"Timothy","email":"","middleInitial":"D.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":768877,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Domanski, Marian M. 0000-0002-0468-314X mdomanski@usgs.gov","orcid":"https://orcid.org/0000-0002-0468-314X","contributorId":5035,"corporation":false,"usgs":true,"family":"Domanski","given":"Marian","email":"mdomanski@usgs.gov","middleInitial":"M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":768878,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70204918,"text":"70204918 - 2019 - The state of the world’s mangrove forests: Past, present, and future","interactions":[],"lastModifiedDate":"2019-08-23T15:17:52","indexId":"70204918","displayToPublicDate":"2019-08-23T11:37:56","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5317,"text":"Annual Review of Environment and Resources","active":true,"publicationSubtype":{"id":10}},"title":"The state of the world’s mangrove forests: Past, present, and future","docAbstract":"Intertidal mangrove forests are a dynamic ecosystem experiencing rapid changes in extent and habitat quality over geological history, today and into the future. Climate and sea level have drastically altered mangrove distribution since their appearance in the geological record ∼75 million years ago (Mya), through to the Holocene. In contrast, contemporary mangrove dynamics are driven primarily by anthropogenic threats, including pollution, overextraction, and conversion to aquaculture and agriculture. Deforestation rates have declined in the past decade, but the future of mangroves is uncertain; new deforestation frontiers are opening, particularly in Southeast Asia and West Africa, despite international conservation policies and ambitious global targets for rehabilitation. In addition, geological and climatic processes such as sea-level rise that were important over geological history will continue to influence global mangrove distribution in the future. Recommendations are given to reframe mangrove conservation, with a view to improving the state of mangroves in the future.","language":"English","publisher":"Annual Reviews","doi":"10.1146/annurev-environ-101718-033302","usgsCitation":"Friess, D.A., Rogers, K., Lovelock, C.E., Krauss, K., Hamilton, S.E., Lee, S.Y., Lucas, R., Primavera, J., Rajkaran, A., and Shi, S., 2019, The state of the world’s mangrove forests: Past, present, and future: Annual Review of Environment and Resources, v. 44, p. 16-1-16.27, https://doi.org/10.1146/annurev-environ-101718-033302.","productDescription":"27 p.","startPage":"16-1","endPage":"16.27","ipdsId":"IP-103200","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":488811,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1146/annurev-environ-101718-033302","text":"Publisher Index Page"},{"id":366858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Friess, Daniel A.","contributorId":169072,"corporation":false,"usgs":false,"family":"Friess","given":"Daniel","email":"","middleInitial":"A.","affiliations":[{"id":25407,"text":"Department of Geography, National University of Singapore","active":true,"usgs":false}],"preferred":false,"id":769011,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogers, Kerrylee","contributorId":64151,"corporation":false,"usgs":false,"family":"Rogers","given":"Kerrylee","email":"","affiliations":[{"id":16754,"text":"University of Wollongong, Australia","active":true,"usgs":false}],"preferred":false,"id":769012,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lovelock, Catherine E.","contributorId":215562,"corporation":false,"usgs":false,"family":"Lovelock","given":"Catherine","email":"","middleInitial":"E.","affiliations":[{"id":39280,"text":"School of Biological Sciences, The University of Queensland","active":true,"usgs":false}],"preferred":false,"id":769013,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krauss, Ken 0000-0003-2195-0729","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":218325,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":769010,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hamilton, Stuart E.","contributorId":218326,"corporation":false,"usgs":false,"family":"Hamilton","given":"Stuart","email":"","middleInitial":"E.","affiliations":[{"id":39802,"text":"Department of Geography and Geosciences, Salisbury University","active":true,"usgs":false}],"preferred":false,"id":769014,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lee, Shing Yip","contributorId":39694,"corporation":false,"usgs":false,"family":"Lee","given":"Shing","email":"","middleInitial":"Yip","affiliations":[{"id":13193,"text":"School of Environment, Griffith University","active":true,"usgs":false}],"preferred":false,"id":769015,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lucas, Richard","contributorId":218327,"corporation":false,"usgs":false,"family":"Lucas","given":"Richard","email":"","affiliations":[{"id":39803,"text":"Department of Geography and Earth Sciences, Aberystwyth University","active":true,"usgs":false}],"preferred":false,"id":769016,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Primavera, Jurgenne","contributorId":218328,"corporation":false,"usgs":false,"family":"Primavera","given":"Jurgenne","email":"","affiliations":[{"id":39804,"text":"Zoological Society of London, Bgy. Magdalo, La Paz","active":true,"usgs":false}],"preferred":false,"id":769017,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rajkaran, Anusha","contributorId":218329,"corporation":false,"usgs":false,"family":"Rajkaran","given":"Anusha","email":"","affiliations":[{"id":39805,"text":"Department of Biodiversity and Conservation Biology, University of the Western Cape","active":true,"usgs":false}],"preferred":false,"id":769018,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shi, Suhua","contributorId":218330,"corporation":false,"usgs":false,"family":"Shi","given":"Suhua","email":"","affiliations":[{"id":39806,"text":"School of Life Sciences, Sun Yat-Sen University","active":true,"usgs":false}],"preferred":false,"id":769019,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70247885,"text":"70247885 - 2019 - US Costal Research Program: Fostering academic research","interactions":[],"lastModifiedDate":"2023-08-23T12:28:54.683977","indexId":"70247885","displayToPublicDate":"2019-08-23T07:27:41","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"US Costal Research Program: Fostering academic research","docAbstract":"

The US Coastal Research Program (USCRP) was founded in 2016 through a grassroots initiative of scientists, researchers, and practitioners to address nearshore coastal research priorities of greatest relevance to coastal communities and build a skilled US coastal workforce. The USCRP supports academic research to address challenges identified through thematic workshops and pair academic researchers with practitioners to ensure research findings and tools address relevant coastal management challenges. Through these partnerships, the USCRP addresses societally-relevant needs of coastal communities and nurtures the future U.S. coastal workforce. To date, the USCRP has conducted two thematic workshops and funded 13 academic research studies. Herein we provide an overview of the desired characteristics for USCRP’s academic research, summarize accomplishments from studies responding to challenges identified in the 2016 workshop on Dune Management, and provide an overview of ongoing research studies stemming from the 2018 workshop on Storm Processes and Impacts.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coastal Sediments 2019","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"World Scientific","doi":"10.1142/9789811204487_0255","usgsCitation":"Rosati, J.D., Elko, N., Stockdon, H.F., Lillycrop, J., and Cialone, M., 2019, US Costal Research Program: Fostering academic research, in Coastal Sediments 2019, p. 2975-2982, https://doi.org/10.1142/9789811204487_0255.","productDescription":"8 p.","startPage":"2975","endPage":"2982","ipdsId":"IP-105677","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"links":[{"id":420070,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2019-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Rosati, Julie Dean","contributorId":328642,"corporation":false,"usgs":false,"family":"Rosati","given":"Julie","email":"","middleInitial":"Dean","affiliations":[{"id":78434,"text":"U.S. Army Engineer Research & Development Center, Coastal & Hydraulics Laboratory","active":true,"usgs":false}],"preferred":false,"id":880866,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elko, Nicole","contributorId":287920,"corporation":false,"usgs":false,"family":"Elko","given":"Nicole","affiliations":[{"id":61663,"text":"American Shore and Beach Preservation Association","active":true,"usgs":false}],"preferred":false,"id":880867,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stockdon, Hilary F 0000-0003-0791-4676","orcid":"https://orcid.org/0000-0003-0791-4676","contributorId":305600,"corporation":false,"usgs":true,"family":"Stockdon","given":"Hilary","email":"","middleInitial":"F","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":880868,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lillycrop, Jeff","contributorId":328643,"corporation":false,"usgs":false,"family":"Lillycrop","given":"Jeff","affiliations":[{"id":78436,"text":"Retired U.S. Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory","active":true,"usgs":false}],"preferred":false,"id":880869,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cialone, Mary","contributorId":306166,"corporation":false,"usgs":false,"family":"Cialone","given":"Mary","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":880870,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70247884,"text":"70247884 - 2019 - US Costal Research Program: Building a research community to support coastal stakeholders","interactions":[],"lastModifiedDate":"2023-08-23T12:29:34.355959","indexId":"70247884","displayToPublicDate":"2019-08-23T07:24:25","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"US Costal Research Program: Building a research community to support coastal stakeholders","docAbstract":"

The U.S. Coastal Research Program (USCRP) was created to develop, coordinate, and enable a National science plan to address growing needs of coastal communities. Researchers from federal agencies, academia, industry, and non-governmental organizations work together to identify priorities that support coastal stakeholders in activities such as emergency response, resource management, planning, and engineering. By fostering existing partnerships and multi-agency collaborations, the USCRP increases the value and impact of these coastal research applications. Through user-driven topical workshops, the USCRP initiates conversation between users and researchers to help ensure that research addresses societal needs along the coastline. By leveraging and expanding federal funding, opportunities are created for coastal science and engineering university programs to advance their research directions, provide graduate student opportunities, and connect their work to National coastal priorities.


","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coastal Sediments 2019 Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"World Scientific","doi":"10.1142/9789811204487_0256","usgsCitation":"Stockdon, H.F., Brandt, L., Cialone, M., Elko, N., Haines, J.W., Lillycrop, J., and Rosati, J., 2019, US Costal Research Program: Building a research community to support coastal stakeholders, in Coastal Sediments 2019 Proceedings, p. 2983-2989, https://doi.org/10.1142/9789811204487_0256.","productDescription":"7 p.","startPage":"2983","endPage":"2989","ipdsId":"IP-105676","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"links":[{"id":420069,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2019-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Stockdon, Hilary F 0000-0003-0791-4676","orcid":"https://orcid.org/0000-0003-0791-4676","contributorId":305600,"corporation":false,"usgs":true,"family":"Stockdon","given":"Hilary","email":"","middleInitial":"F","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":880859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brandt, L.","contributorId":328637,"corporation":false,"usgs":false,"family":"Brandt","given":"L.","affiliations":[{"id":78430,"text":"BOEM, Marine Minerals Branch, Sterling, VA, USA","active":true,"usgs":false}],"preferred":false,"id":880860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cialone, M.","contributorId":328638,"corporation":false,"usgs":false,"family":"Cialone","given":"M.","affiliations":[{"id":78431,"text":"US Army Corps of Engineers, Coastal and Hydraulics Laboratory, Engineer Research & Development Center, Washington, DC, USA","active":true,"usgs":false}],"preferred":false,"id":880861,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elko, N.","contributorId":328639,"corporation":false,"usgs":false,"family":"Elko","given":"N.","email":"","affiliations":[{"id":78432,"text":"American Shore and Beach Preservation Association, Folly Beach, SC, USA","active":true,"usgs":false}],"preferred":false,"id":880862,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haines, John W. 0000-0002-6475-8924 jhaines@usgs.gov","orcid":"https://orcid.org/0000-0002-6475-8924","contributorId":509,"corporation":false,"usgs":true,"family":"Haines","given":"John","email":"jhaines@usgs.gov","middleInitial":"W.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":880863,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lillycrop, J.","contributorId":328640,"corporation":false,"usgs":false,"family":"Lillycrop","given":"J.","affiliations":[{"id":78431,"text":"US Army Corps of Engineers, Coastal and Hydraulics Laboratory, Engineer Research & Development Center, Washington, DC, USA","active":true,"usgs":false}],"preferred":false,"id":880864,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rosati, J.","contributorId":328641,"corporation":false,"usgs":false,"family":"Rosati","given":"J.","email":"","affiliations":[{"id":78431,"text":"US Army Corps of Engineers, Coastal and Hydraulics Laboratory, Engineer Research & Development Center, Washington, DC, USA","active":true,"usgs":false}],"preferred":false,"id":880865,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70203647,"text":"sir20195041 - 2019 - The hydrologic benefits of wetland and prairie restoration in western Minnesota—Lessons learned at the Glacial Ridge National Wildlife Refuge, 2002–15","interactions":[],"lastModifiedDate":"2019-08-23T10:13:47","indexId":"sir20195041","displayToPublicDate":"2019-08-22T16:20:03","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5041","displayTitle":"The Hydrologic Benefits of Wetland and Prairie Restoration in Western Minnesota—Lessons Learned at the Glacial Ridge National Wildlife Refuge, 2002–15","title":"The hydrologic benefits of wetland and prairie restoration in western Minnesota—Lessons learned at the Glacial Ridge National Wildlife Refuge, 2002–15","docAbstract":"

Conversion of agricultural lands to wetlands and native prairie is widely viewed as beneficial because it can restore natural ecological and hydrologic functions. Some of these functions, such as reduced peak flows and improved water quality, are often attributed to restoration; however, such benefits have not been quantified at a small scale. To inform future restoration efforts, especially in northern prairie settings, the U.S. Geological Survey, in cooperation with the Minnesota Environment and Natural Resources Trust Fund, the U.S. Fish and Wildlife Service, and the Red Lake Watershed District, compared the hydrology of the Nation’s largest wetland and prairie restoration, Glacial Ridge National Wildlife Refuge, before and after restoration.

Wetland and prairie restorations resulted in substantial changes in flows through the hydrologic cycle, in reduction of overland runoff and ditch flow during storms, and in improvements in water quality. Wetland and prairie restorations within the six basins characterized in this study resulted in a 14-percent decrease of cropland, a 6-percent increase of wetlands, and a 19-percent increase of native prairie between 2002 and 2015. During the same period, runoff rate decreased 33 percent (as a proportion of precipitation) and ditch flow rate decreased by 23 percent. Areal groundwater recharge rate increased from 30 to 35 percent (16 percent relative change in flow rate). Base flow as a proportion of total ditch flow increased from 25 to 35 percent (a 40-percent relative change). Peak ditch flow from storms decreased, ditch-flow recessions lengthened, and base flow from groundwater discharge increased, though only a small amount in some basins. These changes reduce the amount of ditch water leaving the study area, reducing flows that contribute to downstream flooding. Median surficial groundwater and ditch-water nitrate concentrations decreased by 79 and 53 percent, respectively. Median ditch-water suspended-sediment concentration decreased by 64 percent.

Neither the density of restorations nor the beneficial changes in hydrology were evenly distributed in the study area. The amount of hydrologic benefits within an individual ditch basin did not relate directly with the amount of restoration in that basin; however, the landscape characteristics that related most closely with hydrologic benefits were the area of a basin underlain by a surficial aquifer and the area of drained wetlands (indicating the potential for wetland restoration). In western Minnesota, the basins underlain by surficial aquifers that contain large areas of drained wetlands are the uplands of the Alexandria Moraine Complex and the beaches of glacial Lake Agassiz on the eastern side of the western one-third of Minnesota, north of Wilmar, Minnesota. These findings provide resource managers with information that can help focus restoration resources in areas where the greatest hydrologic benefits can be realized.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195041","collaboration":"Prepared in cooperation with the Minnesota Environment and Natural Resources Trust Fund, the U.S. Fish and Wildlife Service, and the Red Lake Watershed District","usgsCitation":"Cowdery, T.K., Christenson, C.A., and Ziegeweid, J.R., 2019, The hydrologic benefits of wetland and prairie restoration in western Minnesota—Lessons learned at the Glacial Ridge National Wildlife Refuge, 2002–15: U.S. Geological Survey Scientific Investigations Report 2019–5041, 81 p., https://doi.org/10.3133/sir20195041.","productDescription":"Report: ix, 81 p.; Data Release","numberOfPages":"96","onlineOnly":"Y","ipdsId":"IP-093837","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":366811,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5041/sir20195041.pdf","text":"Report","size":"7.00 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5041"},{"id":366812,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QRD7A3","text":"USGS data release ","linkHelpText":"A Soil-Water-Balance model and precipitation data used for HEC/HMS modelling at the Glacial Ridge National Wildlife Refuge area, northwestern Minnesota, 2002–15"},{"id":366810,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5041/coverthb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Glacial Ridge National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.52107238769531,\n 47.584399766577576\n ],\n [\n -96.12007141113281,\n 47.584399766577576\n ],\n [\n -96.12007141113281,\n 47.823298103444806\n ],\n [\n -96.52107238769531,\n 47.823298103444806\n ],\n [\n -96.52107238769531,\n 47.584399766577576\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Upper Midwest Water Science Center
U.S. Geological Survey
2280 Woodale Drive
Mounds View, MN

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2019-08-22","noUsgsAuthors":false,"publicationDate":"2019-08-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Cowdery, Timothy K. 0000-0001-9402-6575","orcid":"https://orcid.org/0000-0001-9402-6575","contributorId":215921,"corporation":false,"usgs":true,"family":"Cowdery","given":"Timothy","email":"","middleInitial":"K.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763407,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christenson, Catherine A. 0000-0001-5944-2186","orcid":"https://orcid.org/0000-0001-5944-2186","contributorId":215922,"corporation":false,"usgs":true,"family":"Christenson","given":"Catherine A.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763409,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ziegeweid, Jeffrey R. 0000-0001-7797-3044 jrziege@usgs.gov","orcid":"https://orcid.org/0000-0001-7797-3044","contributorId":4166,"corporation":false,"usgs":true,"family":"Ziegeweid","given":"Jeffrey","email":"jrziege@usgs.gov","middleInitial":"R.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763408,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70205127,"text":"70205127 - 2019 - An evaluation of sedatives for use in transport of juvenile endangered fishes in plastic bags","interactions":[],"lastModifiedDate":"2020-01-03T09:54:00","indexId":"70205127","displayToPublicDate":"2019-08-22T15:51:18","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation of sedatives for use in transport of juvenile endangered fishes in plastic bags","docAbstract":"

Trucks and aircraft typically transport rare or endangered fishes in large unsealed tanks containing large volumes of water (typically hundreds of liters) during conservation efforts. Ornamental fishes, however, are commonly sent by mail in small sealed plastic bags filled with oxygen, minimal water, and a small amount of sedative to reduce weight and overall shipping costs. Our goal was to evaluate if these \"minimal water\" methods used for shipping ornamental fishes could also be used to safely transport endangered Humpback Chub, Gila cypha, into remote locations within Grand Canyon on foot to eliminate helicopter transportation costs associated with conservation actions. In the laboratory, 20 (mean, M = 193.9 g of fish/L, SD = 37.8) juvenile Bonytail, Gila elegans, or Humpback Chub were placed in plastic bags containing 1 liter of water and pure oxygen for 4, 8, and 12 hours. Treatments contained either no sedative or one of three sedatives: AquaCalm (metomidate hydrochloride), Tricaine-S (tricaine methanesulfonate or MS-222), or Aqui-S 20E (eugenol) to evaluate the effectiveness of minimal water methods for use in fish transport. Aqui-S 20E and the control without sedatives exhibited the highest survival (logistic regression, Aqui-S 20E, P = 0.994, 95% CI [0.978, 0.998]; Control, P = 0.995, 95% CI [0.981, 0.998]), followed by Tricaine-S (P = 0.933, 95% CI [0.902, 0.955]), and AquaCalm (P = 0.355, 95% CI [0.307, 0.406]). We also conducted a field trial in which we placed 240 juvenile Humpback Chub in shipping bags (n = 20 fish/bag/1L of water; M = 143.2 g of fish/L, SD= 9.72) with no sedative or 10.0 mg/L of Aqui-S 20E and transported them by vehicle and on foot. No fish perished during transport, indicating these minimal water methods can be used to safely, and at little expense, transport endangered Humpback Chub into remote locations.

","language":"English","publisher":"US Fish and Wildlife Service","doi":"10.3996/032019-JFWM-016","usgsCitation":"Tennant, L.A., Vaage, B., and Ward, D.L., 2019, An evaluation of sedatives for use in transport of juvenile endangered fishes in plastic bags: Journal of Fish and Wildlife Management, v. 10, no. 2, p. 532-543, https://doi.org/10.3996/032019-JFWM-016.","productDescription":"12 p.","startPage":"532","endPage":"543","ipdsId":"IP-077791","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":467345,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/032019-jfwm-016","text":"Publisher Index Page"},{"id":367196,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Tennant, Laura A. 0000-0003-0062-7287 ltennant@usgs.gov","orcid":"https://orcid.org/0000-0003-0062-7287","contributorId":5984,"corporation":false,"usgs":true,"family":"Tennant","given":"Laura","email":"ltennant@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":770132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vaage, Ben M. 0000-0003-1730-4302","orcid":"https://orcid.org/0000-0003-1730-4302","contributorId":218746,"corporation":false,"usgs":false,"family":"Vaage","given":"Ben M.","affiliations":[{"id":39898,"text":"Fish, Wildlife, and Conservation Biology, Colorado State University, 3106 Rampart Rd., Ft. Collins, CO 80523","active":true,"usgs":false}],"preferred":false,"id":770134,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ward, David L. 0000-0002-3355-0637 dlward@usgs.gov","orcid":"https://orcid.org/0000-0002-3355-0637","contributorId":3879,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dlward@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":770298,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70228326,"text":"70228326 - 2019 - Temporally adaptive acoustic sampling to maximize detection across a suite of focal wildlife species","interactions":[],"lastModifiedDate":"2022-02-09T20:12:38.615453","indexId":"70228326","displayToPublicDate":"2019-08-22T14:03:42","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Temporally adaptive acoustic sampling to maximize detection across a suite of focal wildlife species","docAbstract":"
  1. Acoustic recordings of the environment can produce species presence–absence data for characterizing populations of sound-producing wildlife over multiple spatial scales. If a species is present at a site but does not vocalize during a scheduled audio recording survey, researchers may incorrectly conclude that the species is absent (“false negative”). The risk of false negatives is compounded when audio devices have sampling constraints, do not record continuously, and must be manually scheduled to operate at pre-selected times of day, particularly when research programs target multiple species with acoustic availability that varies across temporal conditions.
  2. We developed a temporally adaptive acoustic sampling algorithm to maximize detection probabilities for a suite of focal species amid sampling constraints. The algorithm combines user-supplied species vocalization models with site-specific weather forecasts to set an optimized sampling schedule for the following day. To test our algorithm, we simulated hourly vocalization probabilities for a suite of focal species in a hypothetical monitoring area for the year 2016. We conducted a factorial experiment that sampled from the 2016 acoustic environment to compare the probability of acoustic detection by a fixed (stationary) schedule versus a temporally adaptive optimized schedule under several sampling efforts and monitoring durations.
  3. We found that over the course of a study season, the probability of acoustically capturing a focal species (given presence) at least once via automated acoustic monitoring was greater (and acoustic capture occurred earlier in the season) when using the temporally adaptive optimized schedule as compared to a fixed schedule.
  4. The advantages of a temporally adaptive optimized acoustic sampling schedule are magnified when a study duration is short, sampling effort is low, and/or species acoustic availability is minimal. This methodology presents the opportunity to maximize acoustic monitoring sampling efforts amid constraints.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.5579","usgsCitation":"Balantic, C., and Donovan, T.M., 2019, Temporally adaptive acoustic sampling to maximize detection across a suite of focal wildlife species: Ecology and Evolution, v. 9, no. 18, p. 10582-10600, https://doi.org/10.1002/ece3.5579.","productDescription":"19 p.","startPage":"10582","endPage":"10600","ipdsId":"IP-098225","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467346,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.5579","text":"Publisher Index Page"},{"id":395723,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Sonoran Desert","volume":"9","issue":"18","noUsgsAuthors":false,"publicationDate":"2019-08-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Balantic, Cathleen","contributorId":275168,"corporation":false,"usgs":false,"family":"Balantic","given":"Cathleen","affiliations":[{"id":56735,"text":"University of Vemont","active":true,"usgs":false}],"preferred":false,"id":833763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donovan, Therese M. 0000-0001-8124-9251 tdonovan@usgs.gov","orcid":"https://orcid.org/0000-0001-8124-9251","contributorId":204296,"corporation":false,"usgs":true,"family":"Donovan","given":"Therese","email":"tdonovan@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":833764,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70204969,"text":"70204969 - 2019 - Tsunamis: Stochastic models of generation, propagation, and occurrence","interactions":[],"lastModifiedDate":"2019-08-28T13:55:46","indexId":"70204969","displayToPublicDate":"2019-08-22T13:52:06","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"title":"Tsunamis: Stochastic models of generation, propagation, and occurrence","docAbstract":"The devastating consequences of the 2004 Indian Ocean and 2011 Tohoku-oki tsunamis have led to increased research into many different aspects of the tsunami phenomenon. In this paper, we review research related to the observed complexity and uncertainty associated with tsunami generation, propagation, and occurrence described and analyzed using a variety of stochastic models. In each case, tsunamis generated by earthquakes are primarily considered. Stochastic models are developed from the physical theories that govern tsunami evolution combined with empirical models fitted to seismic and tsunami observations, as well as tsunami catalogs. These stochastic models are key to providing probabilistic forecasts and hazard assessments for tsunamis. The stochastic methods described here are similar to those described for earthquakes (Vere-Jones, 2013) and volcanoes (Bebbington, 2013) in this Encyclopedia.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of complexity and systems science","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-642-27737-5_595-2","usgsCitation":"Geist, E.L., David Oglesby, and Ryan, K., 2019, Tsunamis: Stochastic models of generation, propagation, and occurrence, chap. of Encyclopedia of complexity and systems science, 30 p., https://doi.org/10.1007/978-3-642-27737-5_595-2.","productDescription":"30 p.","ipdsId":"IP-105439","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":367024,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"2nd edition","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Geist, Eric L. 0000-0003-0611-1150 egeist@usgs.gov","orcid":"https://orcid.org/0000-0003-0611-1150","contributorId":1956,"corporation":false,"usgs":true,"family":"Geist","given":"Eric","email":"egeist@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":769324,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"David Oglesby","contributorId":218469,"corporation":false,"usgs":false,"family":"David Oglesby","affiliations":[{"id":6984,"text":"UC Riverside","active":true,"usgs":false}],"preferred":false,"id":769325,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ryan, Kenny","contributorId":218470,"corporation":false,"usgs":false,"family":"Ryan","given":"Kenny","email":"","affiliations":[{"id":39852,"text":"Air Force Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":769326,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70205514,"text":"70205514 - 2019 - Thermal variability drives synchronicity of an aquatic insect resource pulse","interactions":[],"lastModifiedDate":"2021-04-27T11:43:12.246964","indexId":"70205514","displayToPublicDate":"2019-08-22T11:09:27","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Thermal variability drives synchronicity of an aquatic insect resource pulse","docAbstract":"

Spatial heterogeneity in environmental conditions can prolong food availability by desynchronizing the timing of ephemeral, high‐magnitude resource pulses. Spatial patterns of water temperature are highly variable among rivers as determined by both natural and anthropogenic features, but the influence of this variability on freshwater resource pulse phenology is poorly documented. We quantified water temperature and emergence phenology of an aquatic insect (salmonfly, Pteronarcys californica) resource pulse in two rivers characterized by differing catchment topography and human impact. Along both rivers, salmonfly emergence occurred earlier where spring temperatures were warmer. Emergence events were brief (4–8 d) at sites in the more human‐impacted river, but occurred asynchronously along the entire river, lasting 27 d in total. In contrast, emergence events were more prolonged (6–11 d) at sites on the more natural and topographically complex river, but occurred synchronously along the entire river, lasting 13 d in total. These scale‐specific differences in subsidy duration could have opposing consequences for salmonfly consumers depending on their mobility and foraging habits. Asynchronous emergence at a large scale is potentially most important for mobile consumers like birds and fish that can migrate to feed on aquatic insects and track resource waves across a landscape, whereas prolonged emergence duration at a smaller scale may be most important for immobile or opportunistic consumers like spiders and ants. Relating environmental heterogeneity and resource pulse phenology across a gradient of human impact and at multiple spatial scales is needed for a better understanding of how food availability, aquatic–terrestrial linkages, and consumer–resource dynamics may change with climate variability and increasing human activity in the future.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2852","usgsCitation":"Anderson, H., Alberson, L.K., and Walters, D., 2019, Thermal variability drives synchronicity of an aquatic insect resource pulse: Ecosphere, v. 10, no. 8, e02852, 11 p., https://doi.org/10.1002/ecs2.2852.","productDescription":"e02852, 11 p.","ipdsId":"IP-096935","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":460305,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2852","text":"Publisher Index Page"},{"id":367602,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Gallatin River Basin, Madison River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.01934814453125,\n 44.51805165000559\n ],\n [\n -111.12396240234375,\n 44.51805165000559\n ],\n [\n -111.12396240234375,\n 45.51789504294005\n ],\n [\n -112.01934814453125,\n 45.51789504294005\n ],\n [\n -112.01934814453125,\n 44.51805165000559\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Heidi E.","contributorId":218802,"corporation":false,"usgs":false,"family":"Anderson","given":"Heidi E.","affiliations":[{"id":39916,"text":"Montana State University, Bozeman, Montana","active":true,"usgs":false}],"preferred":false,"id":771469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alberson, Lindsey K.","contributorId":219168,"corporation":false,"usgs":false,"family":"Alberson","given":"Lindsey","email":"","middleInitial":"K.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":771470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walters, David 0000-0002-4237-2158 waltersd@usgs.gov","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":147135,"corporation":false,"usgs":true,"family":"Walters","given":"David","email":"waltersd@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":771468,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}