Bird habitat on the island of Tinian, Mariana Islands, has been substantially altered, and only around 5% of the island has native forest today. The modern bird fauna is likely to be a subset of the original avifauna where only species tolerant to native forest loss and human disturbance have survived. Avian surveys were conducted on the island in 2008 by the U.S. Fish and Wildlife Service to provide current densities and abundances of the remaining species, and assess population trends using data collected from previous surveys. During the three surveys (1982, 1996, and 2008), 18 species were detected, and abundances and trends were assessed for 11 species. Five of the nine native species and one alien bird have increased since 1982. Three native birds—Mariana Fruit-Dove (Ptilinopusroseicapilla), Micronesian Honeyeater (Myzomela rubratra), and Tinian Monarch (Monarcha takatsukasae)—have decreased since 1982. Trends for the remaining two birds (one native and one alien) were considered relatively stable. Only five birds, including the Tinian Monarch, showed significant differences among regions of Tinian by year. Increased development on Tinian may result in increases in habitat clearing and expansion of human-dominated habitats, and declines in some bird populations would likely continue or be exacerbated with these actions. Expanded development activities on Tinian would also mean increased cargo movement between Guam and Tinian, elevating the probability of transporting the Brown Tree Snake (Boiga irregularis) to Tinian, which would lead to precipitous decreases and extinctions.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Pacific Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"University of Hawai'i Press","publisherLocation":"Honolulu, HI","doi":"10.2984/66.3.3","usgsCitation":"Camp, R., Amidon, F.A., Marshall, A., and Pratt, T.K., 2012, Bird populations on the Island of Tinian: persistence despite wholesale loss of native forests: Pacific Science, v. 66, no. 3, p. 283-298, https://doi.org/10.2984/66.3.3.","productDescription":"16 p.","startPage":"283","endPage":"298","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-023029","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":262672,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Tinian","volume":"66","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"507edfc5e4b022001d87bb4d","contributors":{"authors":[{"text":"Camp, Richard J.","contributorId":27392,"corporation":false,"usgs":true,"family":"Camp","given":"Richard J.","affiliations":[],"preferred":false,"id":468227,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Amidon, Frederick A.","contributorId":33967,"corporation":false,"usgs":true,"family":"Amidon","given":"Frederick","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":468228,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marshall, Ann P.","contributorId":104763,"corporation":false,"usgs":true,"family":"Marshall","given":"Ann P.","affiliations":[],"preferred":false,"id":468229,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pratt, Thane K. tkpratt@usgs.gov","contributorId":5495,"corporation":false,"usgs":true,"family":"Pratt","given":"Thane","email":"tkpratt@usgs.gov","middleInitial":"K.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":468226,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70040331,"text":"70040331 - 2012 - Plant allocation of carbon to defense as a function of herbivory, light and nutrient availability","interactions":[],"lastModifiedDate":"2012-10-17T17:16:17","indexId":"70040331","displayToPublicDate":"2012-10-17T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3592,"text":"Theoretical Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Plant allocation of carbon to defense as a function of herbivory, light and nutrient availability","docAbstract":"We use modeling to determine the optimal relative plant carbon allocations between foliage, fine roots, anti-herbivore defense, and reproduction to maximize reproductive output. The model treats these plant components and the herbivore compartment as variables. Herbivory is assumed to be purely folivory. Key external factors include nutrient availability, degree of shading, and intensity of herbivory. Three alternative functional responses are used for herbivory, two of which are variations on donor-dependent herbivore (models 1a and 1b) and one of which is a Lotka–Volterra type of interaction (model 2). All three were modified to include the negative effect of chemical defenses on the herbivore. Analysis showed that, for all three models, two stable equilibria could occur, which differs from most common functional responses when no plant defense component is included. Optimal strategies of carbon allocation were defined as the maximum biomass of reproductive propagules produced per unit time, and found to vary with changes in external factors. Increased intensity of herbivory always led to an increase in the fractional allocation of carbon to defense. Decreases in available limiting nutrient generally led to increasing importance of defense. Decreases in available light had little effect on defense but led to increased allocation to foliage. Decreases in limiting nutrient and available light led to decreases in allocation to reproduction in models 1a and 1b but not model 2. Increases in allocation to plant defense were usually accompanied by shifts in carbon allocation away from fine roots, possibly because higher plant defense reduced the loss of nutrients to herbivory.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Theoretical Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s12080-011-0135-z","usgsCitation":"DeAngelis, D., Ju, S., Liu, R., Bryant, J.P., and Gourley, S.A., 2012, Plant allocation of carbon to defense as a function of herbivory, light and nutrient availability: Theoretical Ecology, v. 5, no. 3, p. 445-456, https://doi.org/10.1007/s12080-011-0135-z.","productDescription":"12 p.","startPage":"445","endPage":"456","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":262660,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262658,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s12080-011-0135-z"}],"volume":"5","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-08-16","publicationStatus":"PW","scienceBaseUri":"507ee060e4b022001d87bb8e","contributors":{"authors":[{"text":"DeAngelis, Donald L. 0000-0002-1570-4057","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":88015,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald L.","affiliations":[],"preferred":false,"id":468105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ju, Shu","contributorId":105844,"corporation":false,"usgs":true,"family":"Ju","given":"Shu","affiliations":[],"preferred":false,"id":468106,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, Rongsong","contributorId":43480,"corporation":false,"usgs":false,"family":"Liu","given":"Rongsong","email":"","affiliations":[],"preferred":false,"id":468103,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bryant, John P.","contributorId":39227,"corporation":false,"usgs":false,"family":"Bryant","given":"John","email":"","middleInitial":"P.","affiliations":[{"id":13117,"text":"Institute of Arctic Biology, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":468102,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gourley, Stephen A.","contributorId":60487,"corporation":false,"usgs":true,"family":"Gourley","given":"Stephen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":468104,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70040390,"text":"70040390 - 2012 - Diet and conservation implications of an invasive chameleon, Chamaeleo jacksonii (Squamata: Chamaeleonidae) in Hawaii","interactions":[],"lastModifiedDate":"2013-11-15T13:35:27","indexId":"70040390","displayToPublicDate":"2012-10-17T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Diet and conservation implications of an invasive chameleon, Chamaeleo jacksonii (Squamata: Chamaeleonidae) in Hawaii","docAbstract":"We summarize information on current distribution of the invasive lizard Chamaeleo jacksonii and predict its potential distribution in the Hawaiian Islands. Potential distribution maps are based on climate models developed from known localities in its native range and its Hawaiian range. We also present results of analysis of stomach contents of a sample of 34 chameleons collected from native, predominantly dryland, forest on Maui. These data are the first summarizing prey range of this non-native species in an invaded native-forest setting. Potential distribution models predict that the species can occur throughout most of Hawaii from sea level to >2,100 m elevation. Important features of this data set are that approximately one-third of the diet of these lizards is native insects, and the lizards are consuming large numbers of arthropods each day. Prey sizes span virtually the entire gamut of native Hawaiian arthropod diversity, thereby placing a large number of native species at risk of predation. Our dietary results contrast with expectations for most iguanian lizards and support suggestions that chameleons comprise a third distinct foraging-mode category among saurians. The combination of expanding distribution, large potential range size, broad diet, high predation rates, and high densities of these chameleons imply that they may well become a serious threat to some of the Hawaiian fauna.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Invasions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10530-011-0099-3","usgsCitation":"Kraus, F., Medeiros, A., Preston, D., Jarnevich, C.S., and Rodda, G.H., 2012, Diet and conservation implications of an invasive chameleon, Chamaeleo jacksonii (Squamata: Chamaeleonidae) in Hawaii: Biological Invasions, v. 14, no. 3, p. 579-593, https://doi.org/10.1007/s10530-011-0099-3.","productDescription":"15 p.","startPage":"579","endPage":"593","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":262671,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262647,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10530-011-0099-3"}],"country":"United States","state":"Hawai'i","volume":"14","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-09-14","publicationStatus":"PW","scienceBaseUri":"507edfe1e4b022001d87bb59","contributors":{"authors":[{"text":"Kraus, Fred","contributorId":92911,"corporation":false,"usgs":true,"family":"Kraus","given":"Fred","email":"","affiliations":[],"preferred":false,"id":468256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Medeiros, Arthur","contributorId":83783,"corporation":false,"usgs":true,"family":"Medeiros","given":"Arthur","affiliations":[],"preferred":false,"id":468255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Preston, David","contributorId":107555,"corporation":false,"usgs":true,"family":"Preston","given":"David","affiliations":[],"preferred":false,"id":468257,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":468254,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rodda, Gordon H. roddag@usgs.gov","contributorId":3196,"corporation":false,"usgs":true,"family":"Rodda","given":"Gordon","email":"roddag@usgs.gov","middleInitial":"H.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":468253,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70040378,"text":"70040378 - 2012 - Extinction rates in North American freshwater fishes, 1900-2010","interactions":[],"lastModifiedDate":"2012-10-17T17:16:17","indexId":"70040378","displayToPublicDate":"2012-10-17T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Extinction rates in North American freshwater fishes, 1900-2010","docAbstract":"Widespread evidence shows that the modern rates of extinction in many plants and animals exceed background rates in the fossil record. In the \npresent article, I investigate this issue with regard to North American freshwater fishes. From 1898 to 2006, 57 taxa became extinct, and three \ndistinct populations were extirpated from the continent. Since 1989, the numbers of extinct North American fishes have increased by 25%. From \nthe end of the nineteenth century to the present, modern extinctions varied by decade but significantly increased after 1950 (post-1950s mean = 7.5 extinct taxa per decade). In the twentieth century, freshwater fishes had the highest extinction rate worldwide among vertebrates. The modern \nextinction rate for North American freshwater fishes is conservatively estimated to be 877 times greater than the background extinction rate for \nfreshwater fishes (one extinction every 3 million years). Reasonable estimates project that future increases in extinctions will range from 53 to 86 \nspecies by 2050.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"BioScience","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Institute of Biological Sciences","publisherLocation":"Washington, D.C.","doi":"10.1525/bio.2012.62.9.5","usgsCitation":"Burkhead, N.M., 2012, Extinction rates in North American freshwater fishes, 1900-2010: BioScience, v. 62, no. 9, p. 798-808, https://doi.org/10.1525/bio.2012.62.9.5.","productDescription":"11 p.","startPage":"798","endPage":"808","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":474304,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/bio.2012.62.9.5","text":"Publisher Index Page"},{"id":262664,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262652,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1525/bio.2012.62.9.5"}],"otherGeospatial":"North America","volume":"62","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"507ee019e4b022001d87bb71","contributors":{"authors":[{"text":"Burkhead, Noel M. nburkhead@usgs.gov","contributorId":3030,"corporation":false,"usgs":true,"family":"Burkhead","given":"Noel","email":"nburkhead@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":468219,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70040320,"text":"70040320 - 2012 - A sampling design and model for estimating abundance of Nile crocodiles while accounting for heterogeneity of detectability of multiple observers","interactions":[],"lastModifiedDate":"2012-10-17T17:16:17","indexId":"70040320","displayToPublicDate":"2012-10-16T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"A sampling design and model for estimating abundance of Nile crocodiles while accounting for heterogeneity of detectability of multiple observers","docAbstract":"As part of the development of a management program for Nile crocodiles in Lake Nasser, Egypt, we used a dependent double-observer sampling protocol with multiple observers to compute estimates of population size. To analyze the data, we developed a hierarchical model that allowed us to assess variation in detection probabilities among observers and survey dates, as well as account for variation in crocodile abundance among sites and habitats. We conducted surveys from July 2008-June 2009 in 15 areas of Lake Nasser that were representative of 3 main habitat categories. During these surveys, we sampled 1,086 km of lake shore wherein we detected 386 crocodiles. Analysis of the data revealed significant variability in both inter- and intra-observer detection probabilities. Our raw encounter rate was 0.355 crocodiles/km. When we accounted for observer effects and habitat, we estimated a surface population abundance of 2,581 (2,239-2,987, 95% credible intervals) crocodiles in Lake Nasser. Our results underscore the importance of well-trained, experienced monitoring personnel in order to decrease heterogeneity in intra-observer detection probability and to better detect changes in the population based on survey indices. This study will assist the Egyptian government establish a monitoring program as an integral part of future crocodile harvest activities in Lake Nasser","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/jwmg.348","usgsCitation":"Shirley, M.H., Dorazio, R.M., Abassery, E., Elhady, A.A., Mekki, M.S., and Asran, H.H., 2012, A sampling design and model for estimating abundance of Nile crocodiles while accounting for heterogeneity of detectability of multiple observers: Journal of Wildlife Management, v. 76, no. 5, p. 966-975, https://doi.org/10.1002/jwmg.348.","productDescription":"9 p.","startPage":"966","endPage":"975","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":262637,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262627,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.348"}],"country":"Egypt","otherGeospatial":"Lake Nasser","volume":"76","issue":"5","noUsgsAuthors":false,"publicationDate":"2012-02-28","publicationStatus":"PW","scienceBaseUri":"507edf90e4b022001d87bb35","contributors":{"authors":[{"text":"Shirley, Matthew H.","contributorId":9538,"corporation":false,"usgs":true,"family":"Shirley","given":"Matthew","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":468067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dorazio, Robert M. 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":1668,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","middleInitial":"M.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":468066,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abassery, Ekramy","contributorId":39260,"corporation":false,"usgs":true,"family":"Abassery","given":"Ekramy","email":"","affiliations":[],"preferred":false,"id":468069,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elhady, Amr A.","contributorId":100259,"corporation":false,"usgs":true,"family":"Elhady","given":"Amr","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":468071,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mekki, Mohammed S.","contributorId":75398,"corporation":false,"usgs":true,"family":"Mekki","given":"Mohammed","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":468070,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Asran, Hosni H.","contributorId":38857,"corporation":false,"usgs":true,"family":"Asran","given":"Hosni","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":468068,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70041980,"text":"70041980 - 2012 - Lake trout status in the main basin of Lake Huron, 1973-2010","interactions":[],"lastModifiedDate":"2013-02-12T09:49:08","indexId":"70041980","displayToPublicDate":"2012-10-16T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Lake trout status in the main basin of Lake Huron, 1973-2010","docAbstract":"We developed indices of lake trout Salvelinus namaycush status in the main basin of Lake Huron (1973-2010) to understand increases in the relative abundance of wild year-classes during 1995-2010. Sea lamprey Petromyzon marinus wounds per 100 lake trout declined from 23.63 in 2000 to 5.86-10.64 in 2002-2010. The average age-7 lake trout catch per effort per recruitment (CPE/R; fish•305mof gill net-1•million stocked yearlings-1) increased from 0.56 for the 1973-1990 year-classes to 0.92 for the 1991-2001 year-classes. Total CPE (fish/305 m of gill net) declined from 16.4 fish in 1996 to 4.1 fish in 2010, but the percentage of age-5 and younger lake trout steadily decreased from more than 70% before 1996 to less than 10% by 2009. The modal age in gill-net catches increased from age 5 before 1996 to age 7 by 2005. The average adult CPE increased from 2.8 fish/305 m of gill net during 1978-1995 to 5.34 fish/305 m of gill net during 1996-2010. The 1995-2010 year-classes of wild fish weremore abundant than previous year-classes and were associated with the relatively high adult abundance during 1996-2010. Until the 2002 year-class, there was no decline in age-7 CPE/R; until 2008, there was no decline in adult CPE. Low survival of the 2002 and 2003 year-classes of stocked fish was related to the event of alewife Alosa pseudoharengus population collapse in 2003-2004. Lake trout in the main basin of Lake Huron are undergoing a transition from a hatchery stock to a wild stock, accompanied by an increased uncertainty in delayed recruitment. Future management should pay more attention to the protection of wild recruitment and the abundance of the spawning stock.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","publisherLocation":"London, UK","doi":"10.1080/02755947.2012.675947","usgsCitation":"He, J.X., Ebener, M.P., Riley, S., Cottrill, A., Kowalski, A., Koproski, S., Mohr, L., and Johnson, J.E., 2012, Lake trout status in the main basin of Lake Huron, 1973-2010: North American Journal of Fisheries Management, v. 32, no. 2, p. 402-412, https://doi.org/10.1080/02755947.2012.675947.","productDescription":"11 p.","startPage":"402","endPage":"412","numberOfPages":"11","ipdsId":"IP-029841","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":267049,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02755947.2012.675947"},{"id":267264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Huron","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.0006,44.495 ], [ -83.0006,45.5563 ], [ -81.9982,45.5563 ], [ -81.9982,44.495 ], [ -83.0006,44.495 ] ] ] } } ] }","volume":"32","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-05-02","publicationStatus":"PW","scienceBaseUri":"511b7283e4b0e3ef7b6f1e43","contributors":{"authors":[{"text":"He, Ji X.","contributorId":53254,"corporation":false,"usgs":true,"family":"He","given":"Ji","email":"","middleInitial":"X.","affiliations":[],"preferred":false,"id":470534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ebener, Mark P.","contributorId":25099,"corporation":false,"usgs":false,"family":"Ebener","given":"Mark","email":"","middleInitial":"P.","affiliations":[{"id":12957,"text":"Chippewa Ottawa Resource Authority","active":true,"usgs":false}],"preferred":false,"id":470530,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Riley, Stephen C.","contributorId":84183,"corporation":false,"usgs":true,"family":"Riley","given":"Stephen C.","affiliations":[],"preferred":false,"id":470535,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cottrill, Adam","contributorId":36433,"corporation":false,"usgs":true,"family":"Cottrill","given":"Adam","affiliations":[],"preferred":false,"id":470532,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kowalski, Adam","contributorId":104784,"corporation":false,"usgs":true,"family":"Kowalski","given":"Adam","email":"","affiliations":[],"preferred":false,"id":470536,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Koproski, Scott","contributorId":17496,"corporation":false,"usgs":true,"family":"Koproski","given":"Scott","affiliations":[],"preferred":false,"id":470529,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mohr, Lloyd","contributorId":34001,"corporation":false,"usgs":true,"family":"Mohr","given":"Lloyd","affiliations":[],"preferred":false,"id":470531,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Johnson, James E.","contributorId":45668,"corporation":false,"usgs":true,"family":"Johnson","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":470533,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70040377,"text":"ofr20121223 - 2012 - Summary of bird-survey and banding results at W.L. Finley National Wildlife Refuge, 1998-2008","interactions":[],"lastModifiedDate":"2012-10-16T17:16:16","indexId":"ofr20121223","displayToPublicDate":"2012-10-16T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1223","title":"Summary of bird-survey and banding results at W.L. Finley National Wildlife Refuge, 1998-2008","docAbstract":"With some of the best remaining examples of oak habitats in the Willamette Valley, the Willamette Valley National Wildlife Refuge Complex (WVNWRC) has been implementing restoration efforts to reverse the successional trend towards Douglas-fir and maple that is threatening existing oak woodlands. The restoration work has been considered a model for other public and private efforts within the Willamette Valley, and has been showcased through the Oregon Oak Communities Working Group (http://www.oregonoaks.org). Although many oak restoration projects have been initiated over the last several years, and grant recipients typically identify wildlife species that are likely to benefit from their project, measures of success have not included the actual response of wildlife, such as a change in the probability of species occurrence or abundance. Monitoring in the WVNWRC has so far been limited to vegetative and structural changes within the plant community. Hagar and Stern (2001) identified bird species occurring in Willamette Valley oak woodlands that might be expected to benefit from such restoration efforts, including an endemic subspecies of the White-breasted Nuthatch (see Appendix 1 for scientific names of bird and plant species listed in this document), and the Acorn Woodpecker, both of which are species of concern in Oregon. However, empirical data documenting responses of bird assemblages to restoration actions are needed. The goal of this study was to document the effects of a restoration project in an Oregon White Oak woodland on Pigeon Butte in the W.L. Finley National Wildlife Refuge. Restoration treatments on Pigeon Butte include the removal of shade-tolerant tree species (primarily big-leaf maple and Douglas-fir) to reduce competition with oak trees and to return the stand to a more open structure. The objectives of this ongoing study are to compare abundance, survival, and productivity of diurnal songbird species before and after application of these restoration treatments. Monitoring these vital rates will provide crucial information about the effects of management on survival and productivity (DeSante and Rosenberg, 1998). Therefore, a constant-effort mist-netting project was continued in 2007 and 2008 that had previously collected songbird demographic data at Pigeon Butte from 1998 to 2002. Point-count surveys were conducted in the woodland to build on historical data available for the site (Anderson, 1970; Hagar and Stern, 2001). The data reported here represent 5 years of point count surveys and 6 years of banding before restoration treatment, but only one post-treatment sampling season. Continued monitoring of the bird population is recommended to determine both short-term effects and long-term trends following the habitat alterations that result from restoration treatment.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121223","usgsCitation":"Hagar, J., 2012, Summary of bird-survey and banding results at W.L. Finley National Wildlife Refuge, 1998-2008: U.S. Geological Survey Open-File Report 2012-1223, vi, 12 p., https://doi.org/10.3133/ofr20121223.","productDescription":"vi, 12 p.","numberOfPages":"16","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":262611,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1223.jpg"},{"id":262607,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1223/","linkFileType":{"id":5,"text":"html"}},{"id":262608,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1223/pdf/ofr20121223.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Oregon","otherGeospatial":"W.L. Finley National Wildlife Refuge","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.365552,44.389287 ], [ -123.365552,44.435627 ], [ -123.278498,44.435627 ], [ -123.278498,44.389287 ], [ -123.365552,44.389287 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"507ee084e4b022001d87bb9e","contributors":{"authors":[{"text":"Hagar, Joan 0000-0002-3044-6607 joan_hagar@usgs.gov","orcid":"https://orcid.org/0000-0002-3044-6607","contributorId":3369,"corporation":false,"usgs":true,"family":"Hagar","given":"Joan","email":"joan_hagar@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":468218,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70040374,"text":"fs20123123 - 2012 - A climate trend analysis of Senegal","interactions":[],"lastModifiedDate":"2012-10-16T17:16:16","indexId":"fs20123123","displayToPublicDate":"2012-10-16T00:00:00","publicationYear":"2012","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":"2012-3123","subseriesTitle":"Informing Climate Change Adaptation Series","title":"A climate trend analysis of Senegal","docAbstract":"This brief report, drawing from a multi-year effort by the U.S. Agency for International Development (USAID) Famine Early Warning Systems Network (FEWS NET), identifies modest declines in rainfall, accompanied by increases in air temperatures. These analyses are based on quality-controlled station observations. Conclusions: * Summer rains have remained steady in Senegal over the past 20 years but are 15 percent below the 1920-1969 average. * Temperatures have increased by 0.9° Celsius since 1975, amplifying the effect of droughts. * Cereal yields are low but have been improving. * The amount of farmland per person is low and declining rapidly. * Current population and agriculture trends could lead to a 30-percent reduction in per capita cereal production by 2025.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123123","collaboration":"Famine Early Warning Systems Network—Informing Climate Change Adaptation Series","usgsCitation":"Funk, C.C., Rowland, J., Adoum, A., Eilerts, G., Verdin, J., and White, L., 2012, A climate trend analysis of Senegal: U.S. Geological Survey Fact Sheet 2012-3123, 4 p., https://doi.org/10.3133/fs20123123.","productDescription":"4 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":262609,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3123.bmp"},{"id":262600,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3123/","linkFileType":{"id":5,"text":"html"}},{"id":262601,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3123/FS12-3123.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"Senegal","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -17.529800,12.307300 ], [ -17.529800,16.693100 ], [ -11.348600,16.693100 ], [ -11.348600,12.307300 ], [ -17.529800,12.307300 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4988e4b0b290850ef412","contributors":{"authors":[{"text":"Funk, Christopher C. 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":721,"corporation":false,"usgs":true,"family":"Funk","given":"Christopher","email":"cfunk@usgs.gov","middleInitial":"C.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":468201,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rowland, Jim 0000-0003-4837-3511","orcid":"https://orcid.org/0000-0003-4837-3511","contributorId":22891,"corporation":false,"usgs":true,"family":"Rowland","given":"Jim","email":"","affiliations":[],"preferred":false,"id":468202,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adoum, Alkhalil","contributorId":59670,"corporation":false,"usgs":true,"family":"Adoum","given":"Alkhalil","email":"","affiliations":[],"preferred":false,"id":468204,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eilerts, Gary","contributorId":31101,"corporation":false,"usgs":true,"family":"Eilerts","given":"Gary","email":"","affiliations":[],"preferred":false,"id":468203,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Verdin, James 0000-0003-0238-9657","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":99647,"corporation":false,"usgs":true,"family":"Verdin","given":"James","affiliations":[],"preferred":false,"id":468206,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"White, Libby","contributorId":61680,"corporation":false,"usgs":true,"family":"White","given":"Libby","email":"","affiliations":[],"preferred":false,"id":468205,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70040372,"text":"sir20125203 - 2012 - Changes in water budgets and sediment yields from a hypothetical agricultural field as a function of landscape and management characteristics--A unit field modeling approach","interactions":[],"lastModifiedDate":"2012-10-16T17:16:16","indexId":"sir20125203","displayToPublicDate":"2012-10-16T00:00:00","publicationYear":"2012","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":"2012-5203","title":"Changes in water budgets and sediment yields from a hypothetical agricultural field as a function of landscape and management characteristics--A unit field modeling approach","docAbstract":"Crop agriculture occupies 13 percent of the conterminous United States. Agricultural management practices, such as crop and tillage types, affect the hydrologic flow paths through the landscape. Some agricultural practices, such as drainage and irrigation, create entirely new hydrologic flow paths upon the landscapes where they are implemented. These hydrologic changes can affect the magnitude and partitioning of water budgets and sediment erosion. Given the wide degree of variability amongst agricultural settings, changes in the magnitudes of hydrologic flow paths and sediment erosion induced by agricultural management practices commonly are difficult to characterize, quantify, and compare using only field observations. The Water Erosion Prediction Project (WEPP) model was used to simulate two landscape characteristics (slope and soil texture) and three agricultural management practices (land cover/crop type, tillage type, and selected agricultural land management practices) to evaluate their effects on the water budgets of and sediment yield from agricultural lands. An array of sixty-eight 60-year simulations were run, each representing a distinct natural or agricultural scenario with various slopes, soil textures, crop or land cover types, tillage types, and select agricultural management practices on an isolated 16.2-hectare field. Simulations were made to represent two common agricultural climate regimes: arid with sprinkler irrigation and humid. These climate regimes were constructed with actual climate and irrigation data. The results of these simulations demonstrate the magnitudes of potential changes in water budgets and sediment yields from lands as a result of landscape characteristics and agricultural practices adopted on them. These simulations showed that variations in landscape characteristics, such as slope and soil type, had appreciable effects on water budgets and sediment yields. As slopes increased, sediment yields increased in both the arid and humid environments. However, runoff did not increase with slope in the arid environment as was observed in the humid environment. In both environments, clayey soils exhibited the greatest amount of runoff and sediment yields while sandy soils had greater recharge and lessor runoff and sediment yield. Scenarios simulating the effects of the timing and type of tillage practice showed that no-till, conservation, and contouring tillages reduced sediment yields and, with the exception of no-till, runoff in both environments. Changes in land cover and crop type simulated the changes between the evapotransporative potential and surface roughness imparted by specific vegetations. Substantial differences in water budgets and sediment yields were observed between most agricultural crops and the natural covers selected for each environment: scrub and prairie grass for the arid environment and forest and prairie grass for the humid environment. Finally, a group of simulations was performed to model selected agricultural management practices. Among the selected practices subsurface drainage and strip cropping exhibited the largest shifts in water budgets and sediment yields. The practice of crop rotation (corn/soybean) and cover cropping (corn/rye) were predicted to increase sediment yields from a field planted as conventional corn.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125203","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Roth, J.L., and Capel, P.D., 2012, Changes in water budgets and sediment yields from a hypothetical agricultural field as a function of landscape and management characteristics--A unit field modeling approach: U.S. Geological Survey Scientific Investigations Report 2012-5203, Report: viii, 42 p.; Appendixes: 2-4, https://doi.org/10.3133/sir20125203.","productDescription":"Report: viii, 42 p.; Appendixes: 2-4","numberOfPages":"54","additionalOnlineFiles":"Y","costCenters":[{"id":453,"text":"National Water-Quality Assessment Program","active":false,"usgs":true}],"links":[{"id":262610,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5203.bmp"},{"id":262602,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5203/","linkFileType":{"id":5,"text":"html"}},{"id":262603,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5203/pdf/sir20125203.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.800000,24.500000 ], [ -124.800000,49.383333 ], [ -66.950000,49.383333 ], [ -66.950000,24.500000 ], [ -124.800000,24.500000 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"507edfd9e4b022001d87bb55","contributors":{"authors":[{"text":"Roth, Jason L. 0000-0001-5440-2775 jroth@usgs.gov","orcid":"https://orcid.org/0000-0001-5440-2775","contributorId":4789,"corporation":false,"usgs":true,"family":"Roth","given":"Jason","email":"jroth@usgs.gov","middleInitial":"L.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468196,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Capel, Paul D. 0000-0003-1620-5185 capel@usgs.gov","orcid":"https://orcid.org/0000-0003-1620-5185","contributorId":1002,"corporation":false,"usgs":true,"family":"Capel","given":"Paul","email":"capel@usgs.gov","middleInitial":"D.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":468195,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70040314,"text":"70040314 - 2012 - Towards a theory of ecotone resilience: coastal vegetation on a salinity gradient","interactions":[],"lastModifiedDate":"2012-10-17T17:16:17","indexId":"70040314","displayToPublicDate":"2012-10-16T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3593,"text":"Theoretical Population Biology","active":true,"publicationSubtype":{"id":10}},"title":"Towards a theory of ecotone resilience: coastal vegetation on a salinity gradient","docAbstract":"Ecotones represent locations where vegetation change is likely to occur as a result of climate and other environmental changes. Using a model of an ecotone vulnerable to such future changes, we estimated the resilience of the ecotone to disturbances. The specific ecotone is that between two different vegetation types, salinity-tolerant and salinity-intolerant, along a gradient in groundwater salinity. In the case studied, each vegetation type, through soil feedback loops, promoted local soil salinity levels that favor itself in competition with the other type. Bifurcation analysis was used to study the system of equations for the two vegetation types and soil salinity. Alternative stable equilibria, one for salinity-tolerant and one for salinity intolerant vegetation, were shown to exist over a region of the groundwater salinity gradient, bounded by two bifurcation points. This region was shown to depend sensitively on parameters such as the rate of upward infiltration of salinity from groundwater into the soil due to evaporation. We showed also that increasing diffusion rates of vegetation can lead to shrinkage of the range between the two bifurcation points. Sharp ecotones are typical of salt-tolerant vegetation (mangroves) near the coastline and salt-intolerant vegetation inland, even though the underlying elevation and groundwater salinity change very gradually. A disturbance such as an input of salinity to the soil from a storm surge could upset this stable boundary, leading to a regime shift of salinity-tolerant vegetation inland. We showed, however, that, for our model as least, a simple pulse disturbance would not be sufficient; the salinity would have to be held at a high level, as a 'press', for some time. The approach used here should be generalizable to study the resilience of a variety of ecotones to disturbances.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Theoretical Population Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.tpb.2012.02.007","usgsCitation":"Jiang, J., Gao, D., and DeAngelis, D., 2012, Towards a theory of ecotone resilience: coastal vegetation on a salinity gradient: Theoretical Population Biology, v. 82, no. 1, p. 29-37, https://doi.org/10.1016/j.tpb.2012.02.007.","productDescription":"8 p.","startPage":"29","endPage":"37","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":262641,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262628,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.tpb.2012.02.007","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"82","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"507ee099e4b022001d87bba6","contributors":{"authors":[{"text":"Jiang, Jiang","contributorId":46838,"corporation":false,"usgs":true,"family":"Jiang","given":"Jiang","affiliations":[],"preferred":false,"id":468052,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gao, Daozhou","contributorId":31637,"corporation":false,"usgs":true,"family":"Gao","given":"Daozhou","email":"","affiliations":[],"preferred":false,"id":468051,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":88015,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald L.","affiliations":[],"preferred":false,"id":468053,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70004896,"text":"70004896 - 2012 - Potential effects of climate change on the distribution of waterbirds in the Prairie Pothole Region, U.S.A.","interactions":[],"lastModifiedDate":"2017-05-10T09:53:11","indexId":"70004896","displayToPublicDate":"2012-10-16T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Potential effects of climate change on the distribution of waterbirds in the Prairie Pothole Region, U.S.A.","docAbstract":"Wetland-dependent birds are considered to be at particularly high risk for negative climate change effects. Current and future distributions of American Bittern (Botaurus lentiginosus), American Coot (Fulica americana), Black Tern (Chlidonias niger), Pied-billed Grebe (Podilymbus podiceps) and Sora (Porzana carolina), five waterbird species common in the Prairie Pothole Region (PPR), were predicted using species distribution models (SDMs) in combination with climate data that projected a drier future for the PPR. Regional-scale SDMs were created for the U.S. PPR using breeding bird survey occurrence records for 1971-2000 and wetland and climate parameters. For each waterbird species, current distribution and four potential future distributions were predicted: all combinations of two Global Circulation Models and two emissions scenarios. Averaged for all five species, the ensemble range reduction was 64%. However, projected range losses for individual species varied widely with Sora and Black Tern projected to lose close to 100% and American Bittern 29% of their current range. Future distributions were also projected to a hypothetical landscape where wetlands were numerous and constant to highlight areas suitable as conservation reserves under a drier future climate. The ensemble model indicated that northeastern North Dakota and northern Minnesota would be the best areas for conservation reserves within the U.S. PPR under the modeled conditions.
","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.035.0204","usgsCitation":"Steen, V., and Powell, A., 2012, Potential effects of climate change on the distribution of waterbirds in the Prairie Pothole Region, U.S.A.: Waterbirds, v. 35, no. 2, p. 217-229, https://doi.org/10.1675/063.035.0204.","startPage":"217","endPage":"229","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-031024","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":262638,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota;South Dakota;Minnesota;Iowa","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 104.07,41.41 ], [ 104.07,49.03 ], [ 92.96,49.03 ], [ 92.96,41.41 ], [ 104.07,41.41 ] ] ] } } ] }","volume":"35","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"507ee068e4b022001d87bb92","contributors":{"authors":[{"text":"Steen, Valerie vsteen@usgs.gov","contributorId":5598,"corporation":false,"usgs":true,"family":"Steen","given":"Valerie","email":"vsteen@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":351627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powell, Abby N. abby_powell@usgs.gov","contributorId":2534,"corporation":false,"usgs":false,"family":"Powell","given":"Abby N.","email":"abby_powell@usgs.gov","affiliations":[{"id":13117,"text":"Institute of Arctic Biology, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":351626,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70044231,"text":"70044231 - 2012 - Viral fitness: definitions, measurement, and current insights","interactions":[],"lastModifiedDate":"2013-04-02T15:38:07","indexId":"70044231","displayToPublicDate":"2012-10-15T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1356,"text":"Current Opinion in Virology","active":true,"publicationSubtype":{"id":10}},"title":"Viral fitness: definitions, measurement, and current insights","docAbstract":"Viral fitness is an active area of research, with recent work involving an expanded number of human, non-human vertebrate, invertebrate, plant, and bacterial viruses. Many publications deal with RNA viruses associated with major disease emergence events, such as HIV-1, influenza virus, and Dengue virus. Study topics include drug resistance, immune escape, viral emergence, host jumps, mutation effects, quasispecies diversity, and mathematical models of viral fitness. Important recent trends include increasing use of in vivo systems to assess vertebrate virus fitness, and a broadening of research beyond replicative fitness to also investigate transmission fitness and epidemiologic fitness. This is essential for a more integrated understanding of overall viral fitness, with implications for disease management in the future.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Current Opinion in Virology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.coviro.2012.07.007","usgsCitation":"Wargo, A.R., and Kurath, G., 2012, Viral fitness: definitions, measurement, and current insights: Current Opinion in Virology, v. 2, no. 5, p. 538-545, https://doi.org/10.1016/j.coviro.2012.07.007.","productDescription":"8 p.","startPage":"538","endPage":"545","numberOfPages":"8","ipdsId":"IP-038979","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":474316,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7102723","text":"External Repository"},{"id":270514,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270512,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.coviro.2012.07.007"}],"country":"United States","volume":"2","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515bfdfde4b075500ee5caa1","chorus":{"doi":"10.1016/j.coviro.2012.07.007","url":"http://dx.doi.org/10.1016/j.coviro.2012.07.007","publisher":"Elsevier BV","authors":"Wargo Andrew R, Kurath Gael","journalName":"Current Opinion in Virology","publicationDate":"10/2012"},"contributors":{"authors":[{"text":"Wargo, Andrew R.","contributorId":47260,"corporation":false,"usgs":true,"family":"Wargo","given":"Andrew","email":"","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":475154,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kurath, Gael 0000-0003-3294-560X gkurath@usgs.gov","orcid":"https://orcid.org/0000-0003-3294-560X","contributorId":2629,"corporation":false,"usgs":true,"family":"Kurath","given":"Gael","email":"gkurath@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":475153,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70040324,"text":"ds716 - 2012 - High-resolution digital elevation dataset for Crater Lake National Park and vicinity, Oregon, based on LiDAR survey of August-September 2010 and bathymetric survey of July 2000","interactions":[],"lastModifiedDate":"2019-05-30T13:26:28","indexId":"ds716","displayToPublicDate":"2012-10-15T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"716","title":"High-resolution digital elevation dataset for Crater Lake National Park and vicinity, Oregon, based on LiDAR survey of August-September 2010 and bathymetric survey of July 2000","docAbstract":"Crater Lake partially fills the caldera that formed approximately 7,700 years ago during the eruption of a 12,000-foot volcano known as Mount Mazama. The caldera-forming or climactic eruption of Mount Mazama devastated the surrounding landscape, left a thick deposit of pumice and ash in adjacent valleys, and spread a blanket of volcanic ash as far away as southern Canada. Because the Crater Lake region is potentially volcanically active, knowledge of past events is important to understanding hazards from future eruptions. Similarly, because the area is seismically active, documenting and evaluating geologic faults is critical to assessing hazards from earthquakes. As part of the American Recovery and Reinvestment Act (ARRA) of 2009, the U.S. Geological Survey was awarded funding for high-precision airborne LiDAR (Light Detection And Ranging) data collection at several volcanoes in the Cascade Range through the Oregon LiDAR Consortium, administered by the Oregon Department of Geology and Mineral Industries (DOGAMI). The Oregon LiDAR Consortium contracted with Watershed Sciences, Inc., to conduct the data collection surveys. Collaborating agencies participating with the Oregon LiDAR Consortium for data collection in the Crater Lake region include Crater Lake National Park (National Park Service) and the Federal Highway Administration. In the immediate vicinity of Crater Lake National Park, 798 square kilometers of LiDAR data were collected, providing a digital elevation dataset of the ground surface beneath forest cover with an average resolution of 1.6 laser returns/m2 and both vertical and horizontal accuracies of ±5 cm. The LiDAR data were mosaicked in this report with bathymetry of the lake floor of Crater Lake, collected in 2000 using high-resolution multibeam sonar in a collaborative effort between the U.S. Geological Survey, Crater Lake National Park, and the Center for Coastal and Ocean Mapping at the University of New Hampshire. The bathymetric survey collected 16 million soundings with a spatial resolution of 2 meters using an EM1002 system owned and operated by C&C Technologies, Inc. The combined LiDAR and bathymetric dataset has a cell size of 1 meter and will contribute to understanding past volcanic events and their deposits, recognizing of faults and volcanic landforms, and quantifying landscape modification during and after the next volcanic eruption at Crater Lake.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds716","usgsCitation":"Robinson, J., 2012, High-resolution digital elevation dataset for Crater Lake National Park and vicinity, Oregon, based on LiDAR survey of August-September 2010 and bathymetric survey of July 2000: U.S. Geological Survey Data Series 716, Elevation Data Zip File; FGDC Metadata Files; CraterLakeDeliveryReport: 18 p.; CraterLakeAcceptanceReport: 15 p., https://doi.org/10.3133/ds716.","productDescription":"Elevation Data Zip File; FGDC Metadata Files; CraterLakeDeliveryReport: 18 p.; CraterLakeAcceptanceReport: 15 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":619,"text":"Volcano Science Center-Menlo Park","active":false,"usgs":true}],"links":[{"id":262589,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_716.gif"},{"id":262575,"rank":9999,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/ds/716/data/metadata","linkFileType":{"id":5,"text":"html"}},{"id":262573,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/716/","linkFileType":{"id":5,"text":"html"}},{"id":262574,"rank":9999,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/716/data/DS716-CraterLake_LiDAR.zip"},{"id":262576,"rank":9999,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/716/data/CraterLakeDeliveryReport.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262577,"rank":9999,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/716/data/CraterLakeAcceptanceReport.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Oregon","otherGeospatial":"Crate Lake;Mount Mazama","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.303132,42.767484 ], [ -122.303132,43.089087 ], [ -121.967386,43.089087 ], [ -121.967386,42.767484 ], [ -122.303132,42.767484 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"507c6695e4b0f026455bc94e","contributors":{"authors":[{"text":"Robinson, Joel E. 0000-0002-5193-3666 jrobins@usgs.gov","orcid":"https://orcid.org/0000-0002-5193-3666","contributorId":2757,"corporation":false,"usgs":true,"family":"Robinson","given":"Joel E.","email":"jrobins@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":468088,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70040317,"text":"ofr20121168 - 2012 - waterData--An R package for retrieval, analysis, and anomaly calculation of daily hydrologic time series data, version 1.0","interactions":[],"lastModifiedDate":"2017-10-14T11:25:21","indexId":"ofr20121168","displayToPublicDate":"2012-10-15T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1168","title":"waterData--An R package for retrieval, analysis, and anomaly calculation of daily hydrologic time series data, version 1.0","docAbstract":"Hydrologic time series data and associated anomalies (multiple components of the original time series representing variability at longer-term and shorter-term time scales) are useful for modeling trends in hydrologic variables, such as streamflow, and for modeling water-quality constituents. An R package, called waterData, has been developed for importing daily hydrologic time series data from U.S. Geological Survey streamgages into the R programming environment. In addition to streamflow, data retrieval may include gage height and continuous physical property data, such as specific conductance, pH, water temperature, turbidity, and dissolved oxygen. The package allows for importing daily hydrologic data into R, plotting the data, fixing common data problems, summarizing the data, and the calculation and graphical presentation of anomalies.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121168","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Ryberg, K.R., and Vecchia, A.V., 2012, waterData--An R package for retrieval, analysis, and anomaly calculation of daily hydrologic time series data, version 1.0 (Version 1.0 - October 12, 2012): U.S. Geological Survey Open-File Report 2012-1168, Report: iv, 8 p.; Appendixes 1-2, https://doi.org/10.3133/ofr20121168.","productDescription":"Report: iv, 8 p.; Appendixes 1-2","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":262590,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1168.gif"},{"id":262582,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1168/","linkFileType":{"id":5,"text":"html"}},{"id":262583,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1168/of12-1168.pdf","linkFileType":{"id":1,"text":"pdf"}}],"edition":"Version 1.0 - October 12, 2012","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"507d2380e4b0905c2a76c029","contributors":{"authors":[{"text":"Ryberg, Karen R. 0000-0002-9834-2046 kryberg@usgs.gov","orcid":"https://orcid.org/0000-0002-9834-2046","contributorId":1172,"corporation":false,"usgs":true,"family":"Ryberg","given":"Karen","email":"kryberg@usgs.gov","middleInitial":"R.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468063,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vecchia, Aldo V. 0000-0002-2661-4401","orcid":"https://orcid.org/0000-0002-2661-4401","contributorId":41810,"corporation":false,"usgs":true,"family":"Vecchia","given":"Aldo","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":468064,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70156365,"text":"70156365 - 2012 - A transect through the base of the Bronson Hill Terrane in western New Hampshire","interactions":[],"lastModifiedDate":"2022-11-09T15:17:48.817686","indexId":"70156365","displayToPublicDate":"2012-10-12T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"A transect through the base of the Bronson Hill Terrane in western New Hampshire","docAbstract":"This trip will present the preliminary results of ongoing bedrock mapping in the North Hartland and Claremont North 7.5-minute quadrangles in western New Hampshire. The trip will travel from the Lebanon pluton to just north of the Sugar River pluton (Fig. 1) with the aim of examining the lower structural levels of the Bronson Hill anticlinorium (BHA), and the nature of the boundary with the rocks of the Connecticut Valley trough (CVT). Spear and others (2002, 2003, 2008) proposed that western New Hampshire was characterized by five major faults bounding five structural levels including, from lowest to highest, the “chicken yard line”, Western New Hampshire Boundary Thrust, Skitchewaug nappe, Fall Mountain nappe, and Chesham Pond nappe. Lyons and others (1996, 1997) showed the lowest level cored by the Cornish nappe and floored by the Monroe fault. Thompson and others (1968) explained the geometry of units by folding without major thrust faults, and described the second level as the Skitchewaug nappe. This trip will focus on the two lowest levels which we have revised to call the Monroe and Skitchewaug Mountain thrust sheets. Despite decades of geologic mapping in the northeastern United States at various scales, little 1:24,000-scale (or larger scale) modern bedrock mapping has been published for the state of New Hampshire. In fact, of the New England states, New Hampshire contains the fewest published, modern bedrock geologic maps. Conversely, adjacent Vermont has a relatively high percentage of modern bedrock maps due to focused efforts to create a new state-wide bedrock geologic map over the last few decades. The new Vermont map (Ratcliffe and others, 2011) has identified considerable gaps in our knowledge of the bedrock geology in adjacent New Hampshire where published maps are, in places, more than 50 years old and at scales ranging from 1:62,500 to 1:250,000. Fundamental questions remain concerning the geology across the Connecticut River, especially in regards to the stratigraphy of the BHA and CVT, and the distribution, or even existence, of faults ranging in age from Devonian to Mesozoic (e.g., Spear and others, 2008; McWilliams and others, 2010; Walsh and others, 2010). Questions to ponder on this trip include, but are not limited to: 1) Is the Bronson Hill anticlinorium allochthonous? 2) What is the crust beneath the Bronson Hill anticlinorium? 3) Is there a “Big Staurolite nappe” as proposed by Spear and others (2002, 2003, 2008)? 4) What is the role of Taconic, Acadian, and Alleghanian orogenesis in the tectonic development of the region? Modern 1:24,000-scale mapping is the first step towards answering these questions. Mapping will be supplemented by modern geochronology and geochemistry as this project develops. We plan to share some of our provisional results during this field trip.
","conferenceTitle":"New England Intercollegiate Geological Conference 104th Annual Meeting","conferenceDate":"October 12-14 2012","conferenceLocation":"Newbury, New Hampshire","publisher":"University of New Hampshire Printing Services","publisherLocation":"Newbury, New Hampshire","usgsCitation":"Walsh, G.J., Valley, P.M., and Sicard, K.R., 2012, A transect through the base of the Bronson Hill Terrane in western New Hampshire, New England Intercollegiate Geological Conference 104th Annual Meeting, Newbury, New Hampshire, October 12-14 2012, p. 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States","interactions":[],"lastModifiedDate":"2016-06-02T13:57:35","indexId":"70171528","displayToPublicDate":"2012-10-11T15:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1999,"text":"Inland Waters","active":true,"publicationSubtype":{"id":10}},"title":"Carbon export by rivers draining the conterminous United States","docAbstract":"Material exports by rivers, particularly carbon exports, provide insight to basin geology, weathering, and ecological processes within the basin. Accurate accounting of those exports is valuable to understanding present, past, and projected basin-wide changes in those processes. We calculated lateral export of inorganic and organic carbon (IC and OC) from rivers draining the conterminous United States using stream gaging and water quality data from more than 100 rivers. Approximately 90% of land area and 80% of water export were included, which enabled a continental-scale estimate using minor extrapolation. Total carbon export was 41–49 Tg C yr−1. IC was >75% of export and exceeded OC export in every region except the southeastern Atlantic seaboard. The 10 largest rivers, by discharge, accounted for 66% of water export and carried 74 and 62% of IC and OC export, respectively. Watershed carbon yield for the conterminous United States was 4.2 and 1.3 g C m−2 yr−1 for IC and OC, respectively. The dominance of IC export was unexpected but is consistent with geologic models suggesting high weathering rates in the continental United States due to the prevalence of easily weathered sedimentary rock.
","language":"English","publisher":"International Association of Theoretical and Applied Limnology","publisherLocation":"Stuttgart","doi":"10.5268/IW-2.4.510","usgsCitation":"Stets, E., and Striegl, R.G., 2012, Carbon export by rivers draining the conterminous United States: Inland Waters, v. 2, p. 177-184, https://doi.org/10.5268/IW-2.4.510.","productDescription":"8 p.","startPage":"177","endPage":"184","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-039157","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":474317,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5268/iw-2.4.510","text":"Publisher Index Page"},{"id":322107,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575158ade4b053f0edd03c21","contributors":{"authors":[{"text":"Stets, Edward G. estets@usgs.gov","contributorId":152533,"corporation":false,"usgs":true,"family":"Stets","given":"Edward G.","email":"estets@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":631604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":false,"id":631605,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70157551,"text":"70157551 - 2012 - Quantification of water-level variability effect on plant species populations using paleoecological and hydrological time series data","interactions":[],"lastModifiedDate":"2017-01-18T13:07:25","indexId":"70157551","displayToPublicDate":"2012-10-11T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Quantification of water-level variability effect on plant species populations using paleoecological and hydrological time series data","docAbstract":"Soil cores provide valuable data on historical changes in vegetation and hydrologic conditions. Empirical models were developed to quantify the effect of meteorological and hydrologic forcing on plant species distributions over a 110-year period in Water Conservation Area 1 (WCA1) in the Florida Everglades, also known as the Arthur R. Marshall Loxahatchee National Wildlife Refuge. Empirical models that predict plant species distributions at sites within WCA1 were developed by linking temporally sparse seed bank data from soil cores with continuous multi-decadal daily meteorological and hydrologic time series data. The meteorological data included rainfall and maximum daily temperatures that spanned the entire study period of 110 years. The hydrologic data included stage data from two gages in WCA1 established in 1954. These stage data were hindcasted to be concurrent with the meteorological data by using correlation models that fit measured stages as a function of the meteorological parameters. The historical plant species data came from seven peat cores from WCA1. Different depths from each core were carbon-dated and assayed for relative percentages of 83 plant species using pollen counts. The oldest dates were more than 1,000 years old; however, only core data that overlapped the study period were used, for a total of 67 assays among the seven cores. Twenty-three of the species had ratios of at least 5 percent for one or more of the 67 assays, hereafter referred to as the \"top23\". Using the assays as input vectors, the top23 were grouped using the k-means clustering into four plant classes that represented the extent to which the various species have historically appeared together. This reduced the modeling problem to one of predicting the relative ratios of the four plant classes from the hindcasted stage time-series data. A separate empirical model was developed for each class using a multi-layer perceptron artificial neural network, which provides multivariate, nonlinear curve fitting. The models predicted the relative ratios of the classes, and the sums of the predictions are near 1. The coefficient of determination (R2) of the models varied from 0.87 to 0.96, indicating that the relative ratios of the plant classes are predictable, and therefore controllable, from stage forcing. Similar soil cores are available for the Coastal Plain of North Carolina and are planned for the Congaree National Park in South Carolina.
","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings of the 2012 South Carolina Water Resources Conference","conferenceTitle":"2012 South Carolina Water Resources Conference","conferenceDate":"October 10-11 2012","conferenceLocation":"Columbia, South Carolina","language":"English","publisher":"Clemson University Center for Watershed Excellence","usgsCitation":"Roehl, E.A., Conrads, P., and Bernhardt, C., 2012, Quantification of water-level variability effect on plant species populations using paleoecological and hydrological time series data, in Proceedings of the 2012 South Carolina Water Resources Conference, Columbia, South Carolina, October 10-11 2012, 5 p.","productDescription":"5 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":308623,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Arthur R. 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Jr.","contributorId":108083,"corporation":false,"usgs":false,"family":"Roehl","given":"Edwin","suffix":"Jr.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":573574,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":573575,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bernhardt, Christopher","contributorId":148001,"corporation":false,"usgs":false,"family":"Bernhardt","given":"Christopher","affiliations":[],"preferred":false,"id":573576,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70003750,"text":"70003750 - 2012 - Resource selection models are useful in predicting fine-scale distributions of black-footed ferrets in prairie dog colonies","interactions":[],"lastModifiedDate":"2012-10-12T17:16:08","indexId":"70003750","displayToPublicDate":"2012-10-10T14:17:08","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Resource selection models are useful in predicting fine-scale distributions of black-footed ferrets in prairie dog colonies","docAbstract":"Wildlife-habitat relationships are often conceptualized as resource selection functions (RSFs)—models increasingly used to estimate species distributions and prioritize habitat conservation. We evaluated the predictive capabilities of 2 black-footed ferret (Mustela nigripes) RSFs developed on a 452-ha colony of black-tailed prairie dogs (Cynomys ludovicianus) in the Conata Basin, South Dakota. We used the RSFs to project the relative probability of occurrence of ferrets throughout an adjacent 227-ha colony. We evaluated performance of the RSFs using ferret space use data collected via postbreeding spotlight surveys June–October 2005–2006. In home ranges and core areas, ferrets selected the predicted \"very high\" and \"high\" occurrence categories of both RSFs. Count metrics also suggested selection of these categories; for each model in each year, approximately 81% of ferret locations occurred in areas of very high or high predicted occurrence. These results suggest usefulness of the RSFs in estimating the distribution of ferrets throughout a black-tailed prairie dog colony. The RSFs provide a fine-scale habitat assessment for ferrets that can be used to prioritize releases of ferrets and habitat restoration for prairie dogs and ferrets. A method to quickly inventory the distribution of prairie dog burrow openings would greatly facilitate application of the RSFs.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Western North American Naturalist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Brigham Young University","publisherLocation":"Provo, UT","doi":"10.3398/064.072.0210","usgsCitation":"Eads, D., Jachowski, D.S., Biggins, D.E., Livieri, T., Matchett, M.R., and Millspaugh, J.J., 2012, Resource selection models are useful in predicting fine-scale distributions of black-footed ferrets in prairie dog colonies: Western North American Naturalist, v. 72, no. 2, p. 206-215, https://doi.org/10.3398/064.072.0210.","productDescription":"10 p.","startPage":"206","endPage":"215","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":487964,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol72/iss2/10","text":"External Repository"},{"id":262524,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262543,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3398/064.072.0210","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"South Dakota","otherGeospatial":"Conata Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.0600,42.4800 ], [ -104.0600,45.9500 ], [ -96.4400,45.9500 ], [ -96.4400,42.4800 ], [ -104.0600,42.4800 ] ] ] } } ] }","volume":"72","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50788ef7e4b0cfc2d59f5b27","contributors":{"authors":[{"text":"Eads, David A.","contributorId":70234,"corporation":false,"usgs":true,"family":"Eads","given":"David A.","affiliations":[],"preferred":false,"id":348705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jachowski, David S.","contributorId":82966,"corporation":false,"usgs":true,"family":"Jachowski","given":"David","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":348706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":348701,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Livieri, Travis M.","contributorId":16265,"corporation":false,"usgs":true,"family":"Livieri","given":"Travis M.","affiliations":[],"preferred":false,"id":348702,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Matchett, Marc R.","contributorId":35581,"corporation":false,"usgs":true,"family":"Matchett","given":"Marc","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":348704,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Millspaugh, Joshua J.","contributorId":22082,"corporation":false,"usgs":true,"family":"Millspaugh","given":"Joshua","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":348703,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70003990,"text":"70003990 - 2012 - Use of multi-opening burrow systems by black-footed ferrets","interactions":[],"lastModifiedDate":"2012-10-10T17:16:12","indexId":"70003990","displayToPublicDate":"2012-10-10T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Use of multi-opening burrow systems by black-footed ferrets","docAbstract":"Multi-opening burrow systems constructed by prairie dogs (Cynomys) ostensibly provide escape routes when prairie dogs are pursued by predators capable of entering the burrows, such as black-footed ferrets (Mustela nigripes), or by predators that can rapidly dig into the tunnels, such as American badgers (Taxidea taxus). Because badgers also prey on ferrets, ferrets might similarly benefit from multi-opening burrow systems. Using an air blower, white-tailed prairie dog (Cynomys leucurus) burrow openings were tested for connectivity on plots occupied by black-footed ferrets and on randomly selected plots in Wyoming. Significantly more connected openings were found on ferret-occupied plots than on random plots. Connected openings might be due to modifications by ferrets in response to plugging by prairie dogs, due to selection by ferrets for complex systems with multiple openings that are already unobstructed, or simply due to ferrets lingering at kill sites that were multi-opening systems selected by their prairie dog prey.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Western North American Naturalist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Brigham Young University","publisherLocation":"Provo, UT","doi":"10.3398/064.072.0202","usgsCitation":"Biggins, D.E., 2012, Use of multi-opening burrow systems by black-footed ferrets: Western North American Naturalist, v. 72, no. 2, p. 134-139, https://doi.org/10.3398/064.072.0202.","productDescription":"6 p.","startPage":"134","endPage":"139","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":502541,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol72/iss2/2","text":"External Repository"},{"id":262525,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262515,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3398/064.072.0202"}],"country":"United States","state":"Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.0600,40.9900 ], [ -111.0600,45.0100 ], [ -104.0500,45.0100 ], [ -104.0500,40.9900 ], [ -111.0600,40.9900 ] ] ] } } ] }","volume":"72","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e56218e4b0a4aa5bb04582","contributors":{"authors":[{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":350055,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70040246,"text":"sir20125213 - 2012 - Simulation of daily streamflows at gaged and ungaged locations within the Cedar River Basin, Iowa, using a Precipitation-Runoff Modeling System model","interactions":[],"lastModifiedDate":"2012-10-10T17:16:12","indexId":"sir20125213","displayToPublicDate":"2012-10-10T00:00:00","publicationYear":"2012","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":"2012-5213","title":"Simulation of daily streamflows at gaged and ungaged locations within the Cedar River Basin, Iowa, using a Precipitation-Runoff Modeling System model","docAbstract":"The U.S. Geological Survey, in cooperation with the Iowa Department of Natural Resources, conducted a study to examine techniques for estimation of daily streamflows using hydrological models and statistical methods. This report focuses on the use of a hydrologic model, the U.S. Geological Survey's Precipitation-Runoff Modeling System, to estimate daily streamflows at gaged and ungaged locations. The Precipitation-Runoff Modeling System is a modular, physically based, distributed-parameter modeling system developed to evaluate the impacts of various combinations of precipitation, climate, and land use on surface-water runoff and general basin hydrology. The Cedar River Basin was selected to construct a Precipitation-Runoff Modeling System model that simulates the period from January 1, 2000, to December 31, 2010. The calibration period was from January 1, 2000, to December 31, 2004, and the validation periods were from January 1, 2005, to December 31, 2010 and January 1, 2000 to December 31, 2010. A Geographic Information System tool was used to delineate the Cedar River Basin and subbasins for the Precipitation-Runoff Modeling System model and to derive parameters based on the physical geographical features. Calibration of the Precipitation-Runoff Modeling System model was completed using a U.S. Geological Survey calibration software tool. The main objective of the calibration was to match the daily streamflow simulated by the Precipitation-Runoff Modeling System model with streamflow measured at U.S. Geological Survey streamflow gages. The Cedar River Basin daily streamflow model performed with a Nash-Sutcliffe efficiency ranged from 0.82 to 0.33 during the calibration period, and a Nash-Sutcliffe efficiency ranged from 0.77 to -0.04 during the validation period. The Cedar River Basin model is meeting the criteria of greater than 0.50 Nash-Sutcliffe and is a good fit for streamflow conditions for the calibration period at all but one location, Austin, Minnesota. The Precipitation-Runoff Modeling System model accurately simulated streamflow at four of six uncalibrated sites within the basin. Overall, there was good agreement between simulated and measured seasonal and annual volumes throughout the basin for calibration and validation sites. The calibration period ranged from 0.2 to 20.8 percent difference, and the validation period ranged from 0.0 to 19.5 percent difference across all seasons and total annual runoff. The Precipitation-Runoff Modeling System model tended to underestimate lower streamflows compared to the observed streamflow values. This is an indication that the Precipitation-Runoff Modeling model needs more detailed groundwater and storage information to properly model the low-flow conditions in the Cedar River Basin.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125213","collaboration":"Prepared in cooperation with the Iowa Department of Natural Resources","usgsCitation":"Christiansen, D.E., 2012, Simulation of daily streamflows at gaged and ungaged locations within the Cedar River Basin, Iowa, using a Precipitation-Runoff Modeling System model: U.S. Geological Survey Scientific Investigations Report 2012-5213, iv, 20 p., https://doi.org/10.3133/sir20125213.","productDescription":"iv, 20 p.","numberOfPages":"28","onlineOnly":"Y","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":262512,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5213.gif"},{"id":262508,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5213/","linkFileType":{"id":5,"text":"html"}},{"id":262509,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5213/sir2012-5213.pdf","linkFileType":{"id":1,"text":"pdf"}}],"scale":"24000","projection":"Universal Transverse Mercator projection, Zone 15","datum":"North American Datum of 1983","country":"United States","state":"Iowa","otherGeospatial":"Cedar River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.0000,41.2500 ], [ -94.0000,44.0000 ], [ -90.5000,44.0000 ], [ -90.5000,41.2500 ], [ -94.0000,41.2500 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4c6bfe4b0e8fec6ce104a","contributors":{"authors":[{"text":"Christiansen, Daniel E. 0000-0001-6108-2247 dechrist@usgs.gov","orcid":"https://orcid.org/0000-0001-6108-2247","contributorId":366,"corporation":false,"usgs":true,"family":"Christiansen","given":"Daniel","email":"dechrist@usgs.gov","middleInitial":"E.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467960,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70040254,"text":"70040254 - 2012 - Information on black-footed ferret biology collected within the framework of ferret conservation","interactions":[],"lastModifiedDate":"2012-10-10T17:16:12","indexId":"70040254","displayToPublicDate":"2012-10-10T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Information on black-footed ferret biology collected within the framework of ferret conservation","docAbstract":"Once feared to be extinct, black-footed ferrets (Mustela nigripes) were rediscovered near Meeteetse, Wyoming, in 1981, resulting in renewed conservation and research efforts for this highly endangered species. A need for information directly useful to recovery has motivated much monitoring of ferrets since that time, but field activities have enabled collection of data relevant to broader biological themes. This special feature is placed in a context of similar books and proceedings devoted to ferret biology and conservation. Articles include general observations on ferrets, modeling of potential impacts of ferrets on prairie dogs (Cynomys spp.), discussions on relationships of ferrets to prairie dog habitats at several spatial scales (from individual burrows to patches of burrow systems) and a general treatise on the status of black-footed ferret recovery.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Western North American Naturalist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Brigham Young University","publisherLocation":"Provo, UT","doi":"10.3398/064.072.0201","usgsCitation":"Biggins, D.E., 2012, Information on black-footed ferret biology collected within the framework of ferret conservation: Western North American Naturalist, v. 72, no. 2, p. 129-133, https://doi.org/10.3398/064.072.0201.","productDescription":"5 p.","startPage":"129","endPage":"133","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":487994,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol72/iss2/1","text":"External Repository"},{"id":262523,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262514,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3398/064.072.0201"}],"country":"United States","state":"Wyoming","city":"Meeteetse","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108.8764,44.1467 ], [ -108.8764,44.1614 ], [ -108.8482,44.1614 ], [ -108.8482,44.1467 ], [ -108.8764,44.1467 ] ] ] } } ] }","volume":"72","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50df2a51e4b0dfbe79e69cc7","contributors":{"authors":[{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":467961,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70040225,"text":"ds700 - 2012 - Data resources for the Wyoming Landscape Conservation Initiative (WLCI) Integrated Assessment (IA)","interactions":[],"lastModifiedDate":"2013-03-08T12:58:23","indexId":"ds700","displayToPublicDate":"2012-10-09T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"700","title":"Data resources for the Wyoming Landscape Conservation Initiative (WLCI) Integrated Assessment (IA)","docAbstract":"The data contained in this report were compiled, modified, and analyzed for the Wyoming Landscape Conservation Initiative (WLCI) Integrated Assessment (IA). The WLCI is a long-term science based effort to assess and enhance aquatic and terrestrial habitats at a landscape scale in southwest Wyoming while facilitating responsible energy development through local collaboration and partnerships. The IA is an integrated synthesis and analysis of WLCI resource values based on best available data and information collected from multiple agencies and organizations. It is a support tool for landscape-scale conservation planning and evaluation, and a data and analysis resource that can be used for addressing specific management questions. The IA analysis was conducted using a Geographic Information System in a raster (that is, a grid) environment using a cell size of 30 meters. To facilitate the interpretation of the data in a regional context, mean values were summarized and displayed at the subwatershed unit (WLCI subwatersheds were subset from the National Hydrography Dataset, Hydrologic Unit Code 12/Level 6). A dynamic mapping platform, accessed via the WLCI webpage at http://www.wlci.gov is used to display the mapped information, and to access underlying resource values that were combined to produce the final mapped results. The raster data used in the IA are provided here for use by interested parties to conduct additional analyses and can be accessed via the WLCI webpage. This series contains 74 spatial data sets: WLCI subwatersheds (vector) and 73 geotiffs (raster) that are segregated into the major categories of Multicriteria Index (including Resource Index and Condition), Change Agents, and Future Change. The Total Multicriteria Index is composed of the Aquatic Multicriteria Index and the Terrestrial Multicriteria Index. The Aquatic Multicriteria Index is composed of the Aquatic Resource Index and the Aquatic Condition. The Aquatic Resource Index is composed of the following components: Groundwater, Special Management Areas, and Priority Areas. The Aquatic Condition is composed of the following components: Focal Species, Species of Concern, Focal Ecosystems, and Proper Functioning Condition. The Terrestrial Multicriteria Index is composed of the Terrestrial Resource Index and the Terrestrial Condition. The Terrestrial Resource Index is composed of the following components: Special Management Areas, Agriculture, and Priority Areas. The Terrestrial Condition is composed of the following components: Focal Species, Big Game, Species of Concern, Rare Plants, and Focal Ecosystems. The Change Agents are composed the following components: Roads, Energy, Mines, and Urban. The Future Change is composed of the following components: Oil-Gas-Coal, Wind, Minerals, Climate-Temperature, Invasive Species, and Urban.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds700","usgsCitation":"Assal, T.J., Garman, S.L., Bowen, Z.H., Anderson, P.J., Manier, D.J., and McDougal, R., 2012, Data resources for the Wyoming Landscape Conservation Initiative (WLCI) Integrated Assessment (IA): U.S. Geological Survey Data Series 700, Download Data: 1 p.; Downloads Directory, https://doi.org/10.3133/ds700.","productDescription":"Download Data: 1 p.; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":262483,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/700/","linkFileType":{"id":1,"text":"pdf"}},{"id":262485,"rank":9999,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/700/downloads/","linkFileType":{"id":5,"text":"html"}},{"id":262484,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/700/downloads/DS700_links_for_webpage.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262492,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_700.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.0569,41.0000 ], [ -111.0569,45.0000 ], [ -104.0500,45.0000 ], [ -104.0500,41.0000 ], [ -111.0569,41.0000 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50d9ef1fe4b07a5aecdefbe0","contributors":{"authors":[{"text":"Assal, Timothy J. 0000-0001-6342-2954 assalt@usgs.gov","orcid":"https://orcid.org/0000-0001-6342-2954","contributorId":2203,"corporation":false,"usgs":true,"family":"Assal","given":"Timothy","email":"assalt@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":467928,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garman, Steven L. 0000-0002-9032-9074 slgarman@usgs.gov","orcid":"https://orcid.org/0000-0002-9032-9074","contributorId":3741,"corporation":false,"usgs":true,"family":"Garman","given":"Steven","email":"slgarman@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":467930,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bowen, Zachary H. 0000-0002-8656-1831 bowenz@usgs.gov","orcid":"https://orcid.org/0000-0002-8656-1831","contributorId":821,"corporation":false,"usgs":true,"family":"Bowen","given":"Zachary","email":"bowenz@usgs.gov","middleInitial":"H.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":467927,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, Patrick J. 0000-0003-2281-389X andersonpj@usgs.gov","orcid":"https://orcid.org/0000-0003-2281-389X","contributorId":3590,"corporation":false,"usgs":true,"family":"Anderson","given":"Patrick","email":"andersonpj@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":467929,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Manier, Daniel J. 0000-0002-1105-1327 manierd@usgs.gov","orcid":"https://orcid.org/0000-0002-1105-1327","contributorId":4589,"corporation":false,"usgs":true,"family":"Manier","given":"Daniel","email":"manierd@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":467931,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McDougal, Robert R.","contributorId":53418,"corporation":false,"usgs":true,"family":"McDougal","given":"Robert R.","affiliations":[],"preferred":false,"id":467932,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70038715,"text":"70038715 - 2012 - Ecological correlates of invasion impact for Burmese pythons in Florida","interactions":[],"lastModifiedDate":"2012-10-08T17:16:12","indexId":"70038715","displayToPublicDate":"2012-10-08T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2009,"text":"Integrative Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Ecological correlates of invasion impact for Burmese pythons in Florida","docAbstract":"An invasive population of Burmese pythons (Python molurus bivittatus) is established across several thousand square kilometers of southern Florida and appears to have caused precipitous population declines among several species of native mammals. Why has this giant snake had such great success as an invasive species when many established reptiles have failed to spread? We scored the Burmese python for each of 15 literature-based attributes relative to predefined comparison groups from a diverse range of taxa and provide a review of the natural history and ecology of Burmese pythons relevant to each attribute. We focused on attributes linked to spread and magnitude of impacts rather than establishment success. Our results suggest that attributes related to body size and generalism appeared to be particularly applicable to the Burmese python's success in Florida. The attributes with the highest scores were: high reproductive potential, low vulnerability to predation, large adult body size, large offspring size and high dietary breadth. However, attributes of ectotherms in general and pythons in particular (including predatory mode, energetic efficiency and social interactions) might have also contributed to invasion success. Although establishment risk assessments are an important initial step in prevention of new establishments, evaluating species in terms of their potential for spreading widely and negatively impacting ecosystems might become part of the means by which resource managers prioritize control efforts in environments with large numbers of introduced species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Integrative Zoology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1749-4877.2012.00304.x","usgsCitation":"Reed, R., Willson, J., Rodda, G., and Dorcas, M., 2012, Ecological correlates of invasion impact for Burmese pythons in Florida: Integrative Zoology, v. 7, no. 3, p. 254-270, https://doi.org/10.1111/j.1749-4877.2012.00304.x.","productDescription":"17 p.","startPage":"254","endPage":"270","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":262453,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262450,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1749-4877.2012.00304.x"}],"country":"United States","state":"Florida","volume":"7","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-09-03","publicationStatus":"PW","scienceBaseUri":"50744f7fe4b090654e7b263c","contributors":{"authors":[{"text":"Reed, R.N. 0000-0001-8349-6168","orcid":"https://orcid.org/0000-0001-8349-6168","contributorId":49092,"corporation":false,"usgs":true,"family":"Reed","given":"R.N.","affiliations":[],"preferred":false,"id":464768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Willson, J.D.","contributorId":64434,"corporation":false,"usgs":true,"family":"Willson","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":464769,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodda, G.H.","contributorId":103998,"corporation":false,"usgs":true,"family":"Rodda","given":"G.H.","email":"","affiliations":[],"preferred":false,"id":464770,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dorcas, M.E.","contributorId":34310,"corporation":false,"usgs":true,"family":"Dorcas","given":"M.E.","affiliations":[],"preferred":false,"id":464767,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70040108,"text":"70040108 - 2012 - A simple method for estimating basin-scale groundwater discharge by vegetation in the basin and range province of Arizona using remote sensing information and geographic information systems","interactions":[],"lastModifiedDate":"2012-10-08T17:16:12","indexId":"70040108","displayToPublicDate":"2012-10-08T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2183,"text":"Journal of Arid Environments","active":true,"publicationSubtype":{"id":10}},"title":"A simple method for estimating basin-scale groundwater discharge by vegetation in the basin and range province of Arizona using remote sensing information and geographic information systems","docAbstract":"Groundwater is a vital water resource in the arid to semi-arid southwestern United States. Accurate accounting of inflows to and outflows from the groundwater system is necessary to effectively manage this shared resource, including the important outflow component of groundwater discharge by vegetation. A simple method for estimating basin-scale groundwater discharge by vegetation is presented that uses remote sensing data from satellites, geographic information systems (GIS) land cover and stream location information, and a regression equation developed within the Southern Arizona study area relating the Enhanced Vegetation Index from the MODIS sensors on the Terra satellite to measured evapotranspiration. Results computed for 16-day composited satellite passes over the study area during the 2000 through 2007 time period demonstrate a sinusoidal pattern of annual groundwater discharge by vegetation with median values ranging from around 0.3 mm per day in the cooler winter months to around 1.5 mm per day during summer. Maximum estimated annual volume of groundwater discharge by vegetation was between 1.4 and 1.9 billion m3 per year with an annual average of 1.6 billion m3. A simplified accounting of the contribution of precipitation to vegetation greenness was developed whereby monthly precipitation data were subtracted from computed vegetation discharge values, resulting in estimates of minimum groundwater discharge by vegetation. Basin-scale estimates of minimum and maximum groundwater discharge by vegetation produced by this simple method are useful bounding values for groundwater budgets and groundwater flow models, and the method may be applicable to other areas with similar vegetation types.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Arid Environments","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jaridenv.2012.02.010","usgsCitation":"Tillman, F., Callegary, J., Nagler, P., and Glenn, E.P., 2012, A simple method for estimating basin-scale groundwater discharge by vegetation in the basin and range province of Arizona using remote sensing information and geographic information systems: Journal of Arid Environments, v. 82, p. 44-52, https://doi.org/10.1016/j.jaridenv.2012.02.010.","productDescription":"9 p.","startPage":"44","endPage":"52","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":262461,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262459,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jaridenv.2012.02.010"}],"country":"United States","state":"Arizona","volume":"82","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50744f6ee4b090654e7b2637","contributors":{"authors":[{"text":"Tillman, F.D.","contributorId":24620,"corporation":false,"usgs":true,"family":"Tillman","given":"F.D.","email":"","affiliations":[],"preferred":false,"id":467737,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Callegary, J.B.","contributorId":71769,"corporation":false,"usgs":true,"family":"Callegary","given":"J.B.","affiliations":[],"preferred":false,"id":467739,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nagler, P.L. 0000-0003-0674-103X","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":29937,"corporation":false,"usgs":true,"family":"Nagler","given":"P.L.","affiliations":[],"preferred":false,"id":467738,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glenn, E. P.","contributorId":24463,"corporation":false,"usgs":false,"family":"Glenn","given":"E.","middleInitial":"P.","affiliations":[],"preferred":false,"id":467736,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70038824,"text":"70038824 - 2012 - Drivers of change in estuarine-coastal ecosystems: Discoveries from four decades of study in San Francisco Bay","interactions":[],"lastModifiedDate":"2017-10-30T12:25:49","indexId":"70038824","displayToPublicDate":"2012-10-07T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3283,"text":"Reviews of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Drivers of change in estuarine-coastal ecosystems: Discoveries from four decades of study in San Francisco Bay","docAbstract":"Poised at the interface of rivers, ocean, atmosphere and dense human settlement, estuaries are driven by a large array of natural and anthropogenic forces. San Francisco Bay exemplifies the fast-paced change occurring in many of the world's estuaries, bays and inland seas in response to these diverse forces. We use observations from this particularly well-studied estuary to illustrate responses to six drivers that are common agents of change where land and sea meet: water consumption and diversion; human modification of sediment supply; introduction of non-native species; sewage input; environmental policy; and climate shifts. In San Francisco Bay, responses to these drivers include, respectively, shifts in the timing and extent of freshwater inflow and salinity intrusion; decreasing turbidity; restructuring of plankton communities; nutrient enrichment; elimination of hypoxia and reduced metal contamination of biota; and food web changes that decrease resistance of the estuary to nutrient pollution. Detection of these changes and discovery of their causes through environmental monitoring have been essential for establishing and measuring outcomes of environmental policies that aim to maintain high water quality and sustain services provided by estuarine-coastal ecosystems. The wide range of variability time scales and the multiplicity of interacting drivers place heavy demands on estuarine monitoring programs. But the San Francisco Bay case study illustrates why the imperative for monitoring has never been greater.","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2012RG000397","usgsCitation":"Cloern, J., and Jassby, A., 2012, Drivers of change in estuarine-coastal ecosystems: Discoveries from four decades of study in San Francisco Bay: Reviews of Geophysics, v. 50, 33 p.; RG4001, https://doi.org/10.1029/2012RG000397.","productDescription":"33 p.; RG4001","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":474320,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2012rg000397","text":"Publisher Index Page"},{"id":262445,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","volume":"50","noUsgsAuthors":false,"publicationDate":"2012-10-24","publicationStatus":"PW","scienceBaseUri":"5094eb88e4b0e5cfc2acdcaa","contributors":{"authors":[{"text":"Cloern, J. 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