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","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/nclimate1926","usgsCitation":"Hope, A.G., Waltari, E., Payer, D.C., Cook, J.A., and Talbot, S.L., 2013, Future distribution of tundra refugia in northern Alaska: Nature Climate Change, v. 3, p. 931-938, https://doi.org/10.1038/nclimate1926.","productDescription":"8 p.","startPage":"931","endPage":"938","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043843","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":297110,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -174.55078125,\n 66.5482634621744\n ],\n [\n -174.55078125,\n 71.30079291637452\n ],\n [\n -140.9765625,\n 71.30079291637452\n ],\n [\n -140.9765625,\n 66.5482634621744\n ],\n [\n -174.55078125,\n 66.5482634621744\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2013-07-07","publicationStatus":"PW","scienceBaseUri":"54dd2ba4e4b08de9379b344c","contributors":{"authors":[{"text":"Hope, Andrew G. 0000-0003-3814-2891 ahope@usgs.gov","orcid":"https://orcid.org/0000-0003-3814-2891","contributorId":4309,"corporation":false,"usgs":true,"family":"Hope","given":"Andrew","email":"ahope@usgs.gov","middleInitial":"G.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":537884,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waltari, Eric","contributorId":105946,"corporation":false,"usgs":false,"family":"Waltari","given":"Eric","affiliations":[],"preferred":false,"id":537965,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Payer, David C.","contributorId":7495,"corporation":false,"usgs":false,"family":"Payer","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":537966,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cook, Joseph A.","contributorId":8323,"corporation":false,"usgs":false,"family":"Cook","given":"Joseph","email":"","middleInitial":"A.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":537967,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":537885,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70124014,"text":"70124014 - 2013 - Introduction","interactions":[],"lastModifiedDate":"2023-01-02T15:17:32.050706","indexId":"70124014","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"1","title":"Introduction","docAbstract":"The Mohave ground squirrel (Xerospermophilus mohavensis), named just over a century ago (Merriam 1889), is precinctive to the western Mojave Desert in California, USA, and occupies portions of Kern, Los Angeles, Inyo and San Bernardino counties (Best 1995). Early estimates of the geographic range of the squirrel are just 20,000 km2 in area (Hall 1981, Zeiner et al. 1988‐ 1990), one of the smallest distributions among North American ground squirrel species (Hoyt 1972, P. Leitner – pers. obs.). The closest living relative of the Mohave ground squirrel (MGS) is the round‐tailed ground squirrel (Xerospermophilus tereticaudus). Mohave ground squirrels have a “shorter tail with distichous hairs and white undersurface”, but visual differences between the two species are subtle (Hafner and Yates 1983). Speciation likely occurred when portions of the parent population were isolated 4‐1.6 million years ago during the accelerated uplift of the Sierra Nevada, the Transverse Ranges and the Mojave River system, resulting in separation and isolation with MGS evolving in refugia (Hafner 1992, Bell et al. 2009). Subsequently, fluvial‐ lacustrine systems in the Mojave River basin provided vicariance features during the Pleistocene (Hafner 1992, Bell et al. 2009). Responding to previous climate change, the two species potentially migrated into their current ranges from southern refugia after the Last Glacial Maximum, eventually abutting each other along the Mojave River (Hafner and Yates 1983). The species are capable of hybridizing, but intercrosses appear to be rare, and sampling near the zones of potential hybridization remains limited (Bell and Matocq 2011). The only other similar sized squirrel occupying the range of MGS is the white‐tailed antelope ground squirrel (Ammospermophilus leucurus) whose range entirely overlaps MGS, but is easily distinguished by its bright white dorso‐lateral stripes (Best 1995)
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Habitat modeling, landscape genetics, and habitat connectivity for the Mohave ground squirrel to guide renewable energy development, CEC‐500‐2014‐003","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"language":"English","publisher":"University of Nevada, Reno","usgsCitation":"Esque, T., Nussear, K.E., Inman, R.D., Matocq, M.D., Weisberg, P.J., Dilts, T.E., and Leitner, P., 2013, Introduction, chap. 1 of Habitat modeling, landscape genetics, and habitat connectivity for the Mohave ground squirrel to guide renewable energy development, CEC‐500‐2014‐003, p. 7-12.","productDescription":"6 p.","startPage":"7","endPage":"12","ipdsId":"IP-049583","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":340255,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mojave Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.84149040565643,\n 34.78696144144068\n ],\n [\n -118.52440156140966,\n 34.378869610210316\n ],\n [\n -118.18201625114585,\n 34.34602798774476\n ],\n [\n -117.69293330121587,\n 34.332131395776116\n ],\n [\n -117.52154909895546,\n 34.173683715553935\n ],\n [\n -116.78516190953826,\n 34.166260070210015\n ],\n [\n -116.44593943377066,\n 34.024447715082076\n ],\n [\n -115.9928563034697,\n 34.05914166622438\n ],\n [\n -115.61052219874153,\n 33.79144458085716\n ],\n [\n -115.16977702443415,\n 33.70930371284226\n ],\n [\n -114.52270660907189,\n 33.66747821605681\n ],\n [\n -114.4596779504729,\n 33.940022925563\n ],\n [\n -114.39871696584109,\n 34.09898847644595\n ],\n [\n -114.12031042439338,\n 34.21462405943245\n ],\n [\n -114.1743527205499,\n 34.33861709326476\n ],\n [\n -114.37913502646802,\n 34.41895188520816\n ],\n [\n -114.38787590887972,\n 34.52271026775415\n ],\n [\n -114.48560865856501,\n 34.741214080645776\n ],\n [\n -114.65485798344514,\n 34.87621066309244\n ],\n [\n -114.62862685918324,\n 34.99782299236939\n ],\n [\n -118.49063675379958,\n 37.932572093698624\n ],\n [\n -118.6328984098756,\n 37.49264905048622\n ],\n [\n -118.13561409747172,\n 36.45727963698198\n ],\n [\n -118.0028074338752,\n 35.44492334640478\n ],\n [\n -118.84149040565643,\n 34.78696144144068\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59006066e4b0e85db3a5de07","contributors":{"authors":[{"text":"Esque, Todd C. tesque@usgs.gov","contributorId":3221,"corporation":false,"usgs":true,"family":"Esque","given":"Todd C.","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":519414,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nussear, Kenneth E. knussear@usgs.gov","contributorId":2695,"corporation":false,"usgs":true,"family":"Nussear","given":"Kenneth","email":"knussear@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":519413,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Inman, Richard D. rdinman@usgs.gov","contributorId":3316,"corporation":false,"usgs":true,"family":"Inman","given":"Richard","email":"rdinman@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":519415,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Matocq, Marjorie D.","contributorId":25482,"corporation":false,"usgs":true,"family":"Matocq","given":"Marjorie","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":692767,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weisberg, Peter J.","contributorId":33631,"corporation":false,"usgs":true,"family":"Weisberg","given":"Peter","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":692768,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dilts, Thomas E.","contributorId":36833,"corporation":false,"usgs":true,"family":"Dilts","given":"Thomas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":692769,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Leitner, Philip","contributorId":31319,"corporation":false,"usgs":true,"family":"Leitner","given":"Philip","email":"","affiliations":[],"preferred":false,"id":692770,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70124005,"text":"70124005 - 2013 - Summary, synthesis, and significance","interactions":[],"lastModifiedDate":"2023-01-02T15:12:54.882312","indexId":"70124005","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"6","title":"Summary, synthesis, and significance","docAbstract":"The initial habitat suitability model estimates pre‐European suitable habitat of the Mohave ground squirrel (MGS, Xerospermophilus mohavensis) covering 19,023 km2. Impact scenarios predicted that between 10 percent and 16 percent of suitable habitat has been lost to historical human disturbances, and up to an additional 10 percent may be affected by renewable energy development in the near future. These figures are the result of analyses conducted solely on public lands. State and private lands in the region also have pending proposals for renewable energy on 260 km2, and an additional 3,500 km2 may be available for renewable energy. The sum of potential habitat disturbance on public, State, and private lands could equal up to a quarter of historic suitable habitat from pre‐European settlement levels.
While the analyses conducted here consider direct impacts from the footprint of renewable energy and associated transmission corridors, there are many indirect sources of environmental disturbance related to renewable energy development (Lovich and Ennen 2011). Some of those potentially important to the MGS include: increased fugitive dust and the release of chemicals such as dust suppressants, insulating fluids, and herbicides throughout the operational life of facilities, auditory interference from the sound and vibrations of turbines, increases in predators and invasive species that further alter system processes, and changes in surface flow of water that also influence vegetation that is important in these habitats. However, there is little research in the broader context of these topics for the Mojave Desert ecosystem, and less, if any, about the MGS.
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,{"id":70137740,"text":"70137740 - 2013 - Empirical flow parameters : a tool for hydraulic model validity","interactions":[],"lastModifiedDate":"2015-12-01T16:43:11","indexId":"70137740","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"title":"Empirical flow parameters : a tool for hydraulic model validity","docAbstract":"The objectives of this project were (1) To determine and present from existing data in Texas, relations between observed stream flow, topographic slope, mean section velocity, and other hydraulic factors, to produce charts such as Figure 1 and to produce empirical distributions of the various flow parameters to provide a methodology to \"check if model results are way off!\"; (2) To produce a statistical regional tool to estimate mean velocity or other selected parameters for storm flows or other conditional discharges at ungauged locations (most bridge crossings) in Texas to provide a secondary way to compare such values to a conventional hydraulic modeling approach. (3.) To present ancillary values such as Froude number, stream power, Rosgen channel classification, sinuosity, and other selected characteristics (readily determinable from existing data) to provide additional information to engineers concerned with the hydraulic-soil-foundation component of transportation infrastructure.
","language":"English","publisher":"Texas Tech Center for Multidisciplinary Research in Transportation (TechMRT)","publisherLocation":"Lubbock, Texas","collaboration":"Texas Department of Transportation","usgsCitation":"Asquith, W.H., Burley, T.E., and Cleveland, T., 2013, Empirical flow parameters : a tool for hydraulic model validity, 166 p.","productDescription":"166 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045372","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":311775,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297123,"type":{"id":15,"text":"Index Page"},"url":"https://library.ctr.utexas.edu/Presto/content/Detail.aspx?q=NjY1NA==&ctID=OWE3NjYzNTktYzJmNC00ZTAwLThmMjItYzhmNzNiYTFmNzdh&rID=MjUxMDY=&qcf=&ph=VHJ1ZQ==&bckToL=VHJ1ZQ==&"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"565ed2b8e4b071e7ea544427","contributors":{"authors":[{"text":"Asquith, William H. 0000-0002-7400-1861 wasquith@usgs.gov","orcid":"https://orcid.org/0000-0002-7400-1861","contributorId":1007,"corporation":false,"usgs":true,"family":"Asquith","given":"William","email":"wasquith@usgs.gov","middleInitial":"H.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":538020,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burley, Thomas E. 0000-0002-2235-8092 teburley@usgs.gov","orcid":"https://orcid.org/0000-0002-2235-8092","contributorId":3499,"corporation":false,"usgs":true,"family":"Burley","given":"Thomas","email":"teburley@usgs.gov","middleInitial":"E.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":538019,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cleveland, Theodore G.","contributorId":88029,"corporation":false,"usgs":true,"family":"Cleveland","given":"Theodore G.","affiliations":[],"preferred":false,"id":580801,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70140601,"text":"70140601 - 2013 - Spatial Relation Predicates in Topographic Feature Semantics","interactions":[],"lastModifiedDate":"2015-10-16T15:13:38","indexId":"70140601","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Spatial Relation Predicates in Topographic Feature Semantics","docAbstract":"Topographic data are designed and widely used for base maps of diverse applications, yet the power of these information sources largely relies on the interpretive skills of map readers and relational database expert users once the data are in map or geographic information system (GIS) form. Advances in geospatial semantic technology offer data model alternatives for explicating concepts and articulating complex data queries and statements. To understand and enrich the vocabulary of topographic feature properties for semantic technology, English language spatial relation predicates were analyzed in three standard topographic feature glossaries. The analytical approach drew from disciplinary concepts in geography, linguistics, and information science. Five major classes of spatial relation predicates were identified from the analysis; representations for most of these are not widely available. The classes are: part-whole (which are commonly modeled throughout semantic and linked-data networks), geometric, processes, human intention, and spatial prepositions. These are commonly found in the ‘real world’ and support the environmental science basis for digital topographical mapping. The spatial relation concepts are based on sets of relation terms presented in this chapter, though these lists are not prescriptive or exhaustive. The results of this study make explicit the concepts forming a broad set of spatial relation expressions, which in turn form the basis for expanding the range of possible queries for topographical data analysis and mapping.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Cognitive and Linguistic Aspects of Geographic Space","language":"English","publisher":"Springer-Verlag Berlin Heidelberg","doi":"10.1007/978-3-642-34359-9_10","usgsCitation":"Varanka, D.E., and Caro, H.K., 2013, Spatial Relation Predicates in Topographic Feature Semantics, chap. of Cognitive and Linguistic Aspects of Geographic Space, p. 175-193, https://doi.org/10.1007/978-3-642-34359-9_10.","productDescription":"19","startPage":"175","endPage":"193","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-020826","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":309988,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2013-01-30","publicationStatus":"PW","scienceBaseUri":"56221fb5e4b06217fc47922b","contributors":{"authors":[{"text":"Varanka, Dalia E. 0000-0003-2857-9600 dvaranka@usgs.gov","orcid":"https://orcid.org/0000-0003-2857-9600","contributorId":1296,"corporation":false,"usgs":true,"family":"Varanka","given":"Dalia","email":"dvaranka@usgs.gov","middleInitial":"E.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true},{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"preferred":true,"id":540224,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caro, Holly K.","contributorId":59548,"corporation":false,"usgs":true,"family":"Caro","given":"Holly","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":577756,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70148073,"text":"70148073 - 2013 - Demography and population status of polar bears in western Hudson Bay","interactions":[],"lastModifiedDate":"2016-08-16T14:07:46","indexId":"70148073","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Demography and population status of polar bears in western Hudson Bay","docAbstract":"\n- We evaluated the demography and population status of the Western Hudson Bay (WH) polar bear subpopulation for the period 1984-2011, using live-recapture data from research studies and management actions, and dead-recovery data from polar bears harvested for subsistence purposes or removed during human-bear conflicts.
\n- We used a Bayesian implementation of multistate capture-recapture models, coupled with a matrix-based demographic projection model, to integrate several types of data and to incorporate sampling uncertainty, and demographic and environmental stochasticity across the polar bear life cycle. This approach allowed for estimation of a suite of vital rates, including survival and reproduction. These vital rates were used to parameterize a Bayesian population model to evaluate population trends and project potential population outcomes under different environmental scenarios.
\n- Survival of female polar bears of all age classes was significantly correlated with sea ice conditions; particularly with the timing of sea ice break-up in the spring and formation in the fall and the interaction of the two. This is consistent with previous findings linking body condition and survival of WH polar bears to environmental changes associated with climatic warming and supports the ecological dependence of polar bears on the availability of sea ice.
\n- Survival of male polar bears was not correlated with sea ice conditions. This was likely because a higher proportion of mortality for males was caused by humans rather than by natural factors. For example, approximately 73% of mortality for young male bears (i.e., 5-9 years old) was due to direct human-caused removals, largely because of sex selectivity in the subsistence harvest.
\n- The declining trend in size of the WH subpopulation over the period 1987-2004 was similar to a previous analysis (Regehr et al. 2007), suggesting consistency between the two demographic evaluations. Point estimates of abundance were somewhat lower using the updated statistical approach. It is important to recognize that the analyzed data were not collected in a manner that is optimal for estimating abundance and that the goal of the current analysis was to estimate vital rates and demographic trends.
\n- Estimates of population growth rate were also derived using a Bayesian population model based on estimated survival and reproductive rates from the multistate capture-recapture model. For the recent decade 2001-2011, the growth rate of the female segment of the population was 1.02 (95% CI = 0.98-1.06). Apparently stable to positive population growth for females may be due in large part to nonlinearity (i.e., short-term stability) in the long-term observed and forecasted trend toward earlier sea ice break-up in western Hudson Bay.
\n- The 2011 abundance estimate from this analysis was 806 bears with a 95% Bayesian credible interval of 653-984. This is lower than, but broadly consistent with, the abundance estimate of 1,030 (95% confidence interval = 745-1406) from a 2011 aerial survey (Stapleton et al. 2014). The capture-recapture and aerial survey approaches have different spatial and temporal coverage of the WH subpopulation and, consequently, the effective study population considered by each approach is different.
\n
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Research Report","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Environment Canada","usgsCitation":"Lunn, N., Regher, E.V., Servanty, S., Converse, S.J., Richardson, E.S., and Stirling, I., 2013, Demography and population status of polar bears in western Hudson Bay, 50 p.","productDescription":"50 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058521","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":326582,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57b43942e4b03bcb01039fa5","contributors":{"authors":[{"text":"Lunn, Nicholas J.","contributorId":78421,"corporation":false,"usgs":true,"family":"Lunn","given":"Nicholas J.","affiliations":[],"preferred":false,"id":547162,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Regher, Eric V","contributorId":140838,"corporation":false,"usgs":false,"family":"Regher","given":"Eric","email":"","middleInitial":"V","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":547165,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Servanty, Sabrina","contributorId":53296,"corporation":false,"usgs":true,"family":"Servanty","given":"Sabrina","affiliations":[],"preferred":false,"id":547164,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":3513,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":547163,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richardson, Evan S.","contributorId":139901,"corporation":false,"usgs":false,"family":"Richardson","given":"Evan","email":"","middleInitial":"S.","affiliations":[{"id":6962,"text":"Science and Technology Branch, Environment Canada","active":true,"usgs":false}],"preferred":false,"id":547166,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stirling, Ian","contributorId":72079,"corporation":false,"usgs":false,"family":"Stirling","given":"Ian","email":"","affiliations":[{"id":6962,"text":"Science and Technology Branch, Environment Canada","active":true,"usgs":false}],"preferred":false,"id":547167,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70155217,"text":"70155217 - 2013 - An ecological perspective on the changing face of Brucella abortus in the western United States","interactions":[],"lastModifiedDate":"2015-08-05T09:47:40","indexId":"70155217","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2917,"text":"OIE Revue Scientifique et Technique","active":true,"publicationSubtype":{"id":10}},"title":"An ecological perspective on the changing face of Brucella abortus in the western United States","docAbstract":"After a hiatus during the 1990s, outbreaks of Brucella abortus in cattle are occurring more frequently in some of the western states of the United States, namely, Montana, Wyoming and Idaho. This increase is coincident with increasing brucellosis seroprevalence in elk (Cervus elaphus), which is correlated with elk density. Vaccines are a seductive solution, but their use in wildlife systems remains limited by logistical, financial, and scientific constraints. Cattle vaccination is ongoing in the region. Livestock regulations, however, tend to be based on serological tests that test for previous exposure and available vaccines do not protect against seroconversion. The authors review recent ecological studies of brucellosis, with particular emphasis on the Greater Yellowstone Area, and highlight the management options and implications of this work, including the potential utility of habitat modifications and targeted hunts, as well as scavengers and predators. Finally, the authors discuss future research directions that will help us to understand and manage brucellosis in wildlife.
","language":"English","publisher":"OIE","usgsCitation":"Cross, P.C., Maichak, E.J., Brennan, A., Scurlock, B., Henningsen, J.C., and Luikart, G., 2013, An ecological perspective on the changing face of Brucella abortus in the western United States: OIE Revue Scientifique et Technique, v. 32, no. 1, p. 79-87.","productDescription":"9 p.","startPage":"79","endPage":"87","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038737","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":306420,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":305843,"type":{"id":15,"text":"Index Page"},"url":"https://web.oie.int/boutique/index.php?page=ficprod&id_produit=1184&fichrech=1&lang=en"}],"volume":"32","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55c333a9e4b033ef52106a7c","contributors":{"authors":[{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":565129,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maichak, Eric J.","contributorId":145745,"corporation":false,"usgs":false,"family":"Maichak","given":"Eric","email":"","middleInitial":"J.","affiliations":[{"id":16219,"text":"Wyoming Game and Fish Department, PO Box 850, Pinedale, Wyoming","active":true,"usgs":false}],"preferred":false,"id":565132,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Brennan, Angela","contributorId":145743,"corporation":false,"usgs":false,"family":"Brennan","given":"Angela","affiliations":[{"id":16218,"text":"Department of Ecology, Montana State University, 310 Lewis Hall,","active":true,"usgs":false}],"preferred":false,"id":565130,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Scurlock, Brandon","contributorId":145744,"corporation":false,"usgs":false,"family":"Scurlock","given":"Brandon","email":"","affiliations":[{"id":16219,"text":"Wyoming Game and Fish Department, PO Box 850, Pinedale, Wyoming","active":true,"usgs":false}],"preferred":false,"id":565131,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Henningsen, John C.","contributorId":145747,"corporation":false,"usgs":false,"family":"Henningsen","given":"John","email":"","middleInitial":"C.","affiliations":[{"id":16221,"text":"Wyoming Department of Game and Fish, PO Box 67, Jackson, WY 8300","active":true,"usgs":false}],"preferred":false,"id":565134,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Luikart, Gordon","contributorId":145746,"corporation":false,"usgs":false,"family":"Luikart","given":"Gordon","email":"","affiliations":[{"id":16220,"text":"Flathead Lake Biological Station, Div. Biological Science, UM","active":true,"usgs":false}],"preferred":false,"id":565133,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70150328,"text":"70150328 - 2013 - A Structured approach to incidental take decision making","interactions":[],"lastModifiedDate":"2015-07-01T11:56:53","indexId":"70150328","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"A Structured approach to incidental take decision making","docAbstract":"Decision making related to incidental take of endangered species under U.S. law lends itself well to a structured decision making approach. Incidental take is the permitted killing, harming, or harassing of a protected species under the law as long as that harm is incidental to an otherwise lawful activity and does not “reduce appreciably the probability of survival and recovery in the wild.” There has been inconsistency in the process used for determining incidental take allowances across species and across time for the same species, and structured decision making has been proposed to improve decision making. I use an example decision analysis to demonstrate the process and its applicability to incidental take decisions, even under significant demographic uncertainty and multiple, competing objectives. I define the example problem, present an objectives statement and a value function, use a simulation model to assess the consequences of a set of management actions, and evaluate the tradeoffs among the different actions. The approach results in transparent and repeatable decisions.
","language":"English","publisher":"Springer","doi":"10.1007/s00267-012-9981-8","usgsCitation":"McGowan, C., 2013, A Structured approach to incidental take decision making: Environmental Management, v. 51, no. 1, p. 241-250, https://doi.org/10.1007/s00267-012-9981-8.","productDescription":"10 p.","startPage":"241","endPage":"250","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-033430","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305531,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2012-11-21","publicationStatus":"PW","scienceBaseUri":"55950f2be4b0b6d21dd6cbd0","contributors":{"authors":[{"text":"McGowan, Conor P. 0000-0002-7330-9581 cmcgowan@usgs.gov","orcid":"https://orcid.org/0000-0002-7330-9581","contributorId":3381,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor P.","email":"cmcgowan@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":556709,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70142504,"text":"70142504 - 2013 - NDVI saturation adjustment: a new approach for improving cropland performance estimates in the Greater Platte River Basin, USA","interactions":[],"lastModifiedDate":"2017-01-18T11:51:16","indexId":"70142504","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"NDVI saturation adjustment: a new approach for improving cropland performance estimates in the Greater Platte River Basin, USA","docAbstract":"In this study, we developed a new approach that adjusted normalized difference vegetation index (NDVI) pixel values that were near saturation to better characterize the cropland performance (CP) in the Greater Platte River Basin (GPRB), USA. The relationship between NDVI and the ratio vegetation index (RVI) at high NDVI values was investigated, and an empirical equation for estimating saturation-adjusted NDVI (NDVIsat_adjust) based on RVI was developed. A 10-year (2000–2009) NDVIsat_adjust data set was developed using 250-m 7-day composite historical eMODIS (expedited Moderate Resolution Imaging Spectroradiometer) NDVI data. The growing season averaged NDVI (GSN), which is a proxy for ecosystem performance, was estimated and long-term NDVI non-saturation- and saturation-adjusted cropland performance (CPnon_sat_adjust, CPsat_adjust) maps were produced over the GPRB. The final CP maps were validated using National Agricultural Statistics Service (NASS) crop yield data. The relationship between CPsat_adjust and the NASS average corn yield data (r = 0.78, 113 samples) is stronger than the relationship between CPnon_sat_adjust and the NASS average corn yield data (r = 0.67, 113 samples), indicating that the new CPsat_adjust map reduces the NDVI saturation effects and is in good agreement with the corn yield ground observations. Results demonstrate that the NDVI saturation adjustment approach improves the quality of the original GSN map and better depicts the actual vegetation conditions of the GPRB cropland systems.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2013.01.041","usgsCitation":"Gu, Y., Wylie, B.K., Howard, D., Phuyal, K.P., and Ji, L., 2013, NDVI saturation adjustment: a new approach for improving cropland performance estimates in the Greater Platte River Basin, USA: Ecological Indicators, v. 30, p. 1-6, https://doi.org/10.1016/j.ecolind.2013.01.041.","productDescription":"6 p.","startPage":"1","endPage":"6","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038440","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":298320,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Kansas, Nebraska, South Dakota, Wyoming","otherGeospatial":"Greater Platte River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.8193359375,\n 38.71980474264239\n ],\n [\n -109.8193359375,\n 43.992814500489914\n ],\n [\n -95.9326171875,\n 43.992814500489914\n ],\n [\n -95.9326171875,\n 38.71980474264239\n ],\n [\n -109.8193359375,\n 38.71980474264239\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54faddbae4b02419550db6dd","contributors":{"authors":[{"text":"Gu, Yingxin 0000-0002-3544-1856 ygu@usgs.gov","orcid":"https://orcid.org/0000-0002-3544-1856","contributorId":409,"corporation":false,"usgs":true,"family":"Gu","given":"Yingxin","email":"ygu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":541929,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":541930,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Howard, Daniel M. 0000-0002-7563-7538 dhoward@usgs.gov","orcid":"https://orcid.org/0000-0002-7563-7538","contributorId":4431,"corporation":false,"usgs":true,"family":"Howard","given":"Daniel M.","email":"dhoward@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":541931,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phuyal, Khem P.","contributorId":28517,"corporation":false,"usgs":true,"family":"Phuyal","given":"Khem","email":"","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":541932,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ji, Lei 0000-0002-6133-1036 lji@usgs.gov","orcid":"https://orcid.org/0000-0002-6133-1036","contributorId":2832,"corporation":false,"usgs":true,"family":"Ji","given":"Lei","email":"lji@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":541933,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70174162,"text":"70174162 - 2013 - Food availability and foraging near human developments by black bears","interactions":[],"lastModifiedDate":"2016-07-18T17:06:13","indexId":"70174162","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Food availability and foraging near human developments by black bears","docAbstract":"Understanding the relationship between foraging ecology and the presence of human-dominated landscapes is important, particularly for American black bears (Ursus americanus), which sometimes move between wildlands and urban areas to forage. The food-related factors influencing this movement have not been explored, but can be important for understanding the benefits and costs to black bear foraging behavior and the fundamental origins of bear conflicts. We tested whether the scarcity of wildland foods or the availability of urban foods can explain when black bears forage near houses, examined the extent to which male bears use urban areas in comparison to females, and identified the most important food items influencing bear movement into urban areas. We monitored 16 collared black bears in and around Missoula, Montana, during 2009 and 2010, while quantifying the rate of change in green vegetation and the availability of 5 native berry-producing species outside the urban area, the rate of change in green vegetation, and the availability of apples and garbage inside the urban area. We used parametric time-to-event models in which an event was a bear location collected within 100 m of a house. We also visited feeding sites located near houses and quantified food items bears had eaten. The probability of a bear being located near a house was 1.6 times higher for males, and increased during apple season and the urban green-up. Fruit trees accounted for most of the forage items at urban feeding sites (49%), whereas wildland foods composed <10%. Black bears foraged on human foods near houses even when wildland foods were available, suggesting that the absence of wildland foods may not influence the probability of bears foraging near houses. Additionally, other attractants, in this case fruit trees, appear to be more important than the availability of garbage in influencing when bears forage near houses.
","language":"English","publisher":"American Society of Mammalogists","publisherLocation":"Lawrence, KS","doi":"10.1644/12-MAMM-A-002.1","usgsCitation":"Merkle, J., Robinson, H.S., Krausman, P.R., and Alaback, P.B., 2013, Food availability and foraging near human developments by black bears: Journal of Mammalogy, v. 94, no. 2, p. 378-385, https://doi.org/10.1644/12-MAMM-A-002.1.","productDescription":"8 p.","startPage":"378","endPage":"385","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-012056","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":474053,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1644/12-mamm-a-002.1","text":"Publisher Index Page"},{"id":325412,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","city":"Missoula","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.576416015625,\n 46.44164232762498\n ],\n [\n -114.576416015625,\n 47.08508535995384\n ],\n [\n -113.2965087890625,\n 47.08508535995384\n ],\n [\n -113.2965087890625,\n 46.44164232762498\n ],\n [\n -114.576416015625,\n 46.44164232762498\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"94","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-04-16","publicationStatus":"PW","scienceBaseUri":"578dfdb2e4b0f1bea0e0f85a","contributors":{"authors":[{"text":"Merkle, Jerod","contributorId":172972,"corporation":false,"usgs":false,"family":"Merkle","given":"Jerod","affiliations":[{"id":35288,"text":"Wyoming Cooperative Fish and Wildlife Research Unit, University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":642826,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Hugh S.","contributorId":139243,"corporation":false,"usgs":false,"family":"Robinson","given":"Hugh","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":642827,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krausman, Paul R.","contributorId":31467,"corporation":false,"usgs":true,"family":"Krausman","given":"Paul","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":642828,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alaback, Paul B.","contributorId":172217,"corporation":false,"usgs":false,"family":"Alaback","given":"Paul","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":642829,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70171349,"text":"70171349 - 2013 - Anadromous sea lampreys recolonize a Maine coastal river tributary after dam removal","interactions":[],"lastModifiedDate":"2016-05-30T13:08:08","indexId":"70171349","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Anadromous sea lampreys recolonize a Maine coastal river tributary after dam removal","docAbstract":"Sedgeunkedunk Stream, a third-order tributary to the Penobscot River, Maine, historically supported several anadromous fishes, including the Atlantic Salmon Salmo salar, AlewifeAlosa pseudoharengus, and Sea Lamprey Petromyzon marinus. However, two small dams constructed in the 1800s reduced or eliminated spawning runs entirely. In 2009, efforts to restore marine–freshwater connectivity in the system culminated with removal of the lowermost dam, thus providing access to an additional 4.6 km of lotic habitat. Because Sea Lampreys utilized accessible habitat prior to dam removal, they were chosen as a focal species with which to quantify recolonization. During spawning runs of 2008–2011 (before and after dam removal), individuals were marked with PIT tags and their activity was tracked with daily recapture surveys. Open-population mark–recapture models indicated a fourfold increase in the annual abundance of spawning-phase Sea Lampreys, with estimates rising from 59±4 (![\"\"](\"http://www.tandfonline.com/na101/home/literatum/publisher/tandf/journals/content/utaf20/2013/utaf20.v142.i05/00028487.2013.811103/20130920/images/medium/utaf_a_811103_o_ilm0001.gif\")
) before dam removal (2008) to 223±18 and 242±16 after dam removal (2010 and 2011, respectively). Accompanying the marked increase in annual abundance was a greater than fourfold increase in nesting sites: the number of nests increased from 31 in 2008 to 128 and 131 in 2010 and 2011, respectively. During the initial recolonization event (i.e., in 2010), Sea Lampreys took 6 d to move past the former dam site and 9 d to expand into the furthest upstream reaches. Conversely, during the 2011 spawning run, Sea Lampreys took only 3 d to penetrate into the upstream reaches, thus suggesting a potential positive feedback in which larval recruitment into the system may have attracted adult spawners via conspecific pheromone cues. Although more research is needed to verify the migratory pheromone hypothesis, our study clearly demonstrates that small-stream dam removal in coastal river systems has the potential to enhance recovery of declining anadromous fish populations.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/00028487.2013.811103","usgsCitation":"Hogg, R., Coghlan, S.M., and Zydlewski, J.D., 2013, Anadromous sea lampreys recolonize a Maine coastal river tributary after dam removal: Transactions of the American Fisheries Society, v. 142, no. 5, p. 1381-1394, https://doi.org/10.1080/00028487.2013.811103.","productDescription":"14 p.","startPage":"1381","endPage":"1394","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044327","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":321857,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","volume":"142","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-09-02","publicationStatus":"PW","scienceBaseUri":"574d643de4b07e28b66834c5","contributors":{"authors":[{"text":"Hogg, Robert","contributorId":169714,"corporation":false,"usgs":false,"family":"Hogg","given":"Robert","affiliations":[],"preferred":false,"id":630807,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coghlan, Stephen M. Jr.","contributorId":169678,"corporation":false,"usgs":false,"family":"Coghlan","given":"Stephen","suffix":"Jr.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":630808,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":630685,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70174969,"text":"70174969 - 2013 - The PRISM (Pliocene Palaeoclimate) reconstruction: Time for a paradigm shift","interactions":[],"lastModifiedDate":"2017-02-13T14:55:05","indexId":"70174969","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3047,"text":"Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences","active":true,"publicationSubtype":{"id":10}},"title":"The PRISM (Pliocene Palaeoclimate) reconstruction: Time for a paradigm shift","docAbstract":"Global palaeoclimate reconstructions have been invaluable to our understanding of the causes and effects of climate change, but single-temperature representations of the oceanic mixed layer for data–model comparisons are outdated, and the time for a paradigm shift in marine palaeoclimate reconstruction is overdue. The new paradigm in marine palaeoclimate reconstruction stems the loss of valuable climate information and instead presents a holistic and nuanced interpretation of multi-dimensional oceanographic processes and responses. A wealth of environmental information is hidden within the US Geological Survey's Pliocene Research,Interpretation and Synoptic Mapping (PRISM) marine palaeoclimate reconstruction, and we introduce here a plan to incorporate all valuable climate data into the next generation of PRISM products. Beyond the global approach and focus, we plan to incorporate regional climate dynamics with emphasis on processes, integrating multiple environmental proxies wherever available in order to better characterize the mixed layer, and developing a finer time slice within the Mid-Piacenzian Age of the Pliocene, complemented by underused proxies that offer snapshots into environmental conditions. The result will be a proxy-rich, temporally nested, process-oriented approach in a digital format - a relational database with geographic information system capabilities comprising a three-dimensional grid representing the surface layer, with a plethora of data in each cell.
","language":"English","publisher":"Royal Society Publishing","doi":"10.1098/rsta.2012.0524","usgsCitation":"Dowsett, H.J., Robinson, M.M., Stoll, D.K., Foley, K.M., Johnson, A.L., Williams, M., and Riesselman, C., 2013, The PRISM (Pliocene Palaeoclimate) reconstruction: Time for a paradigm shift: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, v. 371, no. 2001, https://doi.org/10.1098/rsta.2012.0524.","productDescription":"Article 20120524; 24 p.","startPage":"1-24","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042157","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":474039,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rsta.2012.0524","text":"Publisher Index Page"},{"id":325601,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"371","issue":"2001","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-10-28","publicationStatus":"PW","scienceBaseUri":"57973832e4b021cadec8ff58","contributors":{"authors":[{"text":"Dowsett, Harry J. 0000-0003-1983-7524 hdowsett@usgs.gov","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":949,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry","email":"hdowsett@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":643454,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Marci M. 0000-0002-9200-4097 mmrobinson@usgs.gov","orcid":"https://orcid.org/0000-0002-9200-4097","contributorId":2082,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci","email":"mmrobinson@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":643456,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stoll, Danielle K.","contributorId":88236,"corporation":false,"usgs":true,"family":"Stoll","given":"Danielle","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":643453,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foley, Kevin M. 0000-0003-1013-462X kfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-1013-462X","contributorId":2543,"corporation":false,"usgs":true,"family":"Foley","given":"Kevin","email":"kfoley@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":643455,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Andrew L. A.","contributorId":173158,"corporation":false,"usgs":false,"family":"Johnson","given":"Andrew","email":"","middleInitial":"L. A.","affiliations":[{"id":27166,"text":"Univ. of Derby","active":true,"usgs":false}],"preferred":false,"id":643457,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Williams, Mark","contributorId":15098,"corporation":false,"usgs":true,"family":"Williams","given":"Mark","affiliations":[],"preferred":false,"id":643458,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Riesselman, Christina 0000-0002-2436-4306 criesselman@usgs.gov","orcid":"https://orcid.org/0000-0002-2436-4306","contributorId":4290,"corporation":false,"usgs":true,"family":"Riesselman","given":"Christina","email":"criesselman@usgs.gov","affiliations":[],"preferred":true,"id":643452,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70175256,"text":"70175256 - 2013 - Tree-ring records of variation in flow and channel geometry","interactions":[],"lastModifiedDate":"2017-05-03T13:41:29","indexId":"70175256","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Tree-ring records of variation in flow and channel geometry","docAbstract":"We review the use of tree rings to date flood disturbance, channel change, and sediment deposition, with an emphasis on rivers in semi-arid landscapes in the western United States. As watershed area decreases and aridity increases, large floods have a more pronounced and sustained effect on channel width and location, resulting in forest area-age distributions that are farther from a steady-state exponential relation. Furthermore, forests along three major snowmelt rivers in the northern Rocky Mountains, USA, have smaller than expected areas of young trees, suggesting that high flows and channel migration have decreased since the late 1800s.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Reference module in earth systems and environmental sciences; Treatise on geomorphology, Volume 12","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Academic Press","doi":"10.1016/B978-0-12-374739-6.00319-5","usgsCitation":"Merigliano, M., Friedman, J., and Scott, M.L., 2013, Tree-ring records of variation in flow and channel geometry, chap. of Reference module in earth systems and environmental sciences; Treatise on geomorphology, Volume 12, v. 12, p. 145-164, https://doi.org/10.1016/B978-0-12-374739-6.00319-5.","productDescription":"20 p.","startPage":"145","endPage":"164","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-024510","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":326036,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a315d4e4b006cb45558bb9","contributors":{"authors":[{"text":"Merigliano, M.F.","contributorId":30190,"corporation":false,"usgs":true,"family":"Merigliano","given":"M.F.","affiliations":[],"preferred":false,"id":644573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friedman, J.M.","contributorId":88671,"corporation":false,"usgs":true,"family":"Friedman","given":"J.M.","affiliations":[],"preferred":false,"id":644574,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scott, M. L.","contributorId":78261,"corporation":false,"usgs":true,"family":"Scott","given":"M.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":644575,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70173517,"text":"70173517 - 2013 - Deer density and disease prevalence influence transmission of Chronic Wasting Disease in White-tailed Deer","interactions":[],"lastModifiedDate":"2016-06-09T16:14:18","indexId":"70173517","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Deer density and disease prevalence influence transmission of Chronic Wasting Disease in White-tailed Deer","docAbstract":"Host-parasite dynamics and strategies for managing infectious diseases of wildlife depend on the functional relationship between disease transmission rates and host density. However, the disease transmission function is rarely known for free-living wildlife, leading to uncertainty regarding the impacts of diseases on host populations and effective control actions. We evaluated the influence of deer density, landscape features, and soil clay content on transmission of chronic wasting disease (CWD) in young (<2-year-old) white-tailed deer (Odocoileus virginianus) in south-central Wisconsin, USA. We evaluated how frequency-dependent, density-dependent, and intermediate transmission models predicted CWD incidence rates in harvested yearling deer. An intermediate transmission model, incorporating both disease prevalence and density of infected deer, performed better than simple density- and frequency-dependent models. Our results indicate a combination of social structure, non-linear relationships between infectious contact and deer density, and distribution of disease among groups are important factors driving CWD infection in young deer. The landscape covariates % deciduous forest cover and forest edge density also were positively associated with infection rates, but soil clay content had no measurable influences on CWD transmission. Lack of strong density-dependent transmission rates indicates that controlling CWD by reducing deer density will be difficult. The consequences of non-linear disease transmission and aggregation of disease on cervid populations deserves further consideration.
","language":"English","publisher":"Wiley","doi":"10.1890/ES12-00141.1","usgsCitation":"Samuel, M.D., Richards, B.J., Storm, D.J., Rolley, R.E., Shelton, P., Keuler, N.S., and Timothy R. Van Deelen, 2013, Deer density and disease prevalence influence transmission of Chronic Wasting Disease in White-tailed Deer: Ecosphere, v. 4, no. 1, p. 1-14, https://doi.org/10.1890/ES12-00141.1.","productDescription":"14 p.","startPage":"1","endPage":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-035434","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":474054,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es12-00141.1","text":"Publisher Index Page"},{"id":323442,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-01-17","publicationStatus":"PW","scienceBaseUri":"575a9330e4b04f417c27512e","contributors":{"authors":[{"text":"Samuel, Michael D. msamuel@usgs.gov","contributorId":1419,"corporation":false,"usgs":true,"family":"Samuel","given":"Michael","email":"msamuel@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richards, Bryan J. 0000-0001-9955-2523 brichards@usgs.gov","orcid":"https://orcid.org/0000-0001-9955-2523","contributorId":3533,"corporation":false,"usgs":true,"family":"Richards","given":"Bryan","email":"brichards@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":637233,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Storm, Daniel J.","contributorId":171373,"corporation":false,"usgs":false,"family":"Storm","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":24576,"text":"University of Wisconsin, Madison, WI","active":true,"usgs":false}],"preferred":false,"id":637235,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Rolley, Robert E.","contributorId":171376,"corporation":false,"usgs":false,"family":"Rolley","given":"Robert","email":"","middleInitial":"E.","affiliations":[{"id":24833,"text":"Wisconsin DNR, Madison, WI","active":true,"usgs":false}],"preferred":false,"id":637238,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Shelton, Paul","contributorId":171375,"corporation":false,"usgs":false,"family":"Shelton","given":"Paul","email":"","affiliations":[{"id":26879,"text":"Illinois DNR, Springfield, IL","active":true,"usgs":false}],"preferred":false,"id":637237,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Keuler, Nicholas S.","contributorId":171374,"corporation":false,"usgs":false,"family":"Keuler","given":"Nicholas","email":"","middleInitial":"S.","affiliations":[{"id":24576,"text":"University of Wisconsin, Madison, WI","active":true,"usgs":false}],"preferred":false,"id":637236,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Timothy R. Van Deelen","contributorId":171377,"corporation":false,"usgs":false,"family":"Timothy R. Van Deelen","affiliations":[{"id":24576,"text":"University of Wisconsin, Madison, WI","active":true,"usgs":false}],"preferred":false,"id":637239,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70174111,"text":"70174111 - 2013 - Evaluation of habitat quality for selected wildlife species associated with back channels.","interactions":[],"lastModifiedDate":"2016-09-08T11:04:04","indexId":"70174111","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2949,"text":"Open Journal Of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of habitat quality for selected wildlife species associated with back channels.","docAbstract":"The islands and associated back channels on the Ohio River, USA, are believed to provide critical habitat features for several wildlife species. However, few studies have quantitatively evaluated habitat quality in these areas. Our main objective was to evaluate the habitat quality of back and main channel areas for several species using habitat suitability index (HSI) models. To test the effectiveness of these models, we attempted to relate HSI scores and the variables measured for each model with measures of relative abundance for the model species. The mean belted kingfisher (Ceryle alcyon) HSI was greater on the main than back channel. However, the model failed to predict kingfisher abundance. The mean reproduction component of the great blue heron (Ardea herodias) HSI, total common muskrat (Ondatra zibethicus) HSI, winter cover component of the snapping turtle (Chelydra serpentina) HSI, and brood-rearing component of the wood duck (Aix sponsa) HSI were all greater on the back than main channel, and were positively related with the relative abundance of each species. We found that island back channels provide characteristics not found elsewhere on the Ohio River and warrant conservation as important riparian wildlife habitat. The effectiveness of using HSI models to predict species abundance on the river was mixed. Modifications to several of the models are needed to improve their use on the Ohio River and, likely, other large rivers.
","language":"English","publisher":"SciRes","doi":"10.4236/oje.2013.34035","usgsCitation":"Anderson, J.T., Zadnik, A.K., Wood, P.B., and Bledsoe, K., 2013, Evaluation of habitat quality for selected wildlife species associated with back channels.: Open Journal Of Ecology, v. 3, no. 4, p. 301-310, https://doi.org/10.4236/oje.2013.34035.","productDescription":"10 p.","startPage":"301","endPage":"310","ipdsId":"IP-043835","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":474023,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4236/oje.2013.34035","text":"Publisher Index Page"},{"id":328361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d28bace4b0571647d0f92e","contributors":{"authors":[{"text":"Anderson, James T.","contributorId":28071,"corporation":false,"usgs":false,"family":"Anderson","given":"James","email":"","middleInitial":"T.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":648363,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zadnik, Andrew K.","contributorId":174476,"corporation":false,"usgs":false,"family":"Zadnik","given":"Andrew","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":648364,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wood, Petra Bohall pbwood@usgs.gov","contributorId":1791,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","middleInitial":"Bohall","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":640954,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bledsoe, Kerry","contributorId":174477,"corporation":false,"usgs":false,"family":"Bledsoe","given":"Kerry","email":"","affiliations":[],"preferred":false,"id":648365,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70176302,"text":"70176302 - 2013 - Sorption of pure N2O to biochars and other organic and inorganic materials under anhydrous conditions","interactions":[],"lastModifiedDate":"2016-09-07T15:11:34","indexId":"70176302","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Sorption of pure N2O to biochars and other organic and inorganic materials under anhydrous conditions","docAbstract":"Suppression of nitrous oxide (N2O) emissions from soil is commonly observed after amendment with biochar. The mechanisms accounting for this suppression are not yet understood. One possible contributing mechanism is N2O sorption to biochar. The sorption of N2O and carbon dioxide (CO2) to four biochars was measured in an anhydrous system with pure N2O. The biochar data were compared to those for two activated carbons and other components potentially present in soils—uncharred pine wood and peat—and five inorganic metal oxides with variable surface areas. Langmuir maximum sorption capacities (Qmax) for N2O on the pine wood biochars (generated between 250 and 500 °C) and activated carbons were 17–73 cm3 g–1 at 20 °C (median 51 cm3 g–1), with Langmuir affinities (b) of 2–5 atm–1 (median 3.4 atm–1). Both Qmaxand b of the charred materials were substantially higher than those for peat, uncharred wood, and metal oxides [Qmax 1–34 cm3 g–1 (median 7 cm3 g–1); b 0.4–1.7 atm–1 (median 0.7 atm–1)]. This indicates that biochar can bind N2O more strongly than both mineral and organic soil materials. Qmax and b for CO2 were comparable to those for N2O. Modeled sorption coefficients obtained with an independent polyparameter—linear free-energy relationship matched measured data within a factor 2 for mineral surfaces but underestimated by a factor of 5–24 for biochar and carbonaceous surfaces. Isosteric enthalpies of sorption of N2O were mostly between −20 and −30 kJ mol–1, slightly more exothermic than enthalpies of condensation (−16.1 kJ mol–1). Qmax of N2O on biochar (50000–130000 μg g–1 biochar at 20 °C) exceeded the N2O emission suppressions observed in the literature (range 0.5–960 μg g–1 biochar; median 16 μg g–1) by several orders of magnitude. Thus, the hypothesis could not be falsified that sorption of N2O to biochar is a mechanism of N2O emission suppression.
","language":"English","publisher":"ACS Publications","doi":"10.1021/es400676q","usgsCitation":"Cornelissen, G., Rutherford, D.W., Arp, H.P., Dorsch, P., Kelly, C.N., and Rostad, C.E., 2013, Sorption of pure N2O to biochars and other organic and inorganic materials under anhydrous conditions: Environmental Science & Technology, v. 47, no. 14, p. 7704-7712, https://doi.org/10.1021/es400676q.","productDescription":"9 p.","startPage":"7704","endPage":"7712","ipdsId":"IP-044029","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":328333,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"14","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-06-28","publicationStatus":"PW","scienceBaseUri":"57d13a3fe4b0571647cf8dfc","contributors":{"authors":[{"text":"Cornelissen, Gerard","contributorId":174426,"corporation":false,"usgs":false,"family":"Cornelissen","given":"Gerard","email":"","affiliations":[{"id":27452,"text":"Norwegian Geotechnical Institute","active":true,"usgs":false}],"preferred":false,"id":648262,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rutherford, David W. dwruther@usgs.gov","contributorId":1325,"corporation":false,"usgs":true,"family":"Rutherford","given":"David","email":"dwruther@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":648261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arp, Hans Peter H.","contributorId":174430,"corporation":false,"usgs":false,"family":"Arp","given":"Hans","email":"","middleInitial":"Peter H.","affiliations":[{"id":27452,"text":"Norwegian Geotechnical Institute","active":true,"usgs":false}],"preferred":false,"id":648263,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dorsch, Peter","contributorId":174431,"corporation":false,"usgs":false,"family":"Dorsch","given":"Peter","email":"","affiliations":[{"id":27456,"text":"Norwegian Univorsity of Life Sciences","active":true,"usgs":false}],"preferred":false,"id":648264,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kelly, Charlene N. cnkelly@usgs.gov","contributorId":4563,"corporation":false,"usgs":true,"family":"Kelly","given":"Charlene","email":"cnkelly@usgs.gov","middleInitial":"N.","affiliations":[],"preferred":true,"id":648260,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rostad, Colleen E. cerostad@usgs.gov","contributorId":833,"corporation":false,"usgs":true,"family":"Rostad","given":"Colleen","email":"cerostad@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":648259,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70176301,"text":"70176301 - 2013 - Biochar effect on maize yield and soil characteristics in five conservation farming sites in Zambia","interactions":[],"lastModifiedDate":"2016-09-07T15:07:26","indexId":"70176301","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":684,"text":"Agronomy Journal","active":true,"publicationSubtype":{"id":10}},"title":"Biochar effect on maize yield and soil characteristics in five conservation farming sites in Zambia","docAbstract":"Biochar addition to agricultural soils can improve soil fertility, with the added bonus of climate change mitigation through carbon sequestration. Conservation farming (CF) is precision farming, often combining minimum tillage, crop rotation and residue retention. In the present farmer-led field trials carried out in Zambia, the use of a low dosage biochar combined with CF minimum tillage was tested as a way to increase crop yields. Using CF minimum tillage allows the biochar to be applied to the area where most of the plant roots are present and mirrors the fertilizer application in CF practices. The CF practice used comprised manually hoe-dug planting 10-L sized basins, where 10%–12% of the land was tilled. Pilot trials were performed with maize cob biochar and wood biochar on five soils with variable physical/chemical characteristics. At a dosage as low as 4 tons/ha, both biochars had a strong positive effect on maize yields in the coarse white aeolian sand of Kaoma, West-Zambia, with yields of 444% ± 114% (p = 0.06) and 352% ± 139% (p = 0.1) of the fertilized reference plots for maize and wood biochar, respectively. Thus for sandy acidic soils, CF and biochar amendment can be a promising combination for increasing harvest yield. Moderate but non-significant effects on yields were observed for maize and wood biochar in a red sandy clay loam ultisol east of Lusaka, central Zambia (University of Zambia, UNZA, site) with growth of 142% ± 42% (p > 0.2) and 131% ± 62% (p > 0.2) of fertilized reference plots, respectively. For three other soils (acidic and neutral clay loams and silty clay with variable cation exchange capacity, CEC), no significant effects on maize yields were observed (p > 0.2). In laboratory trials, 5% of the two biochars were added to the soil samples in order to study the effect of the biochar on physical and chemical soil characteristics. The large increase in crop yield in Kaoma soil was tentatively explained by a combination of an increased base saturation (from <50% to 60%–100%) and cation exchange capacity (CEC; from 2–3 to 5–9 cmol/kg) and increased plant-available water (from 17% to 21%) as well as water vapor uptake (70 mg/g on maize cob biochar at 50% relative humidity).
","language":"English","publisher":"MDPI","doi":"10.3390/agronomy3020256","usgsCitation":"Cornelissen, G., Martinsen, V., Shitumbanuma, V., Alling, V., Breedveld, G.D., Rutherford, D.W., Sparrevik, M., Hale, S.E., Obia, A., and Mulder, J., 2013, Biochar effect on maize yield and soil characteristics in five conservation farming sites in Zambia: Agronomy Journal, v. 3, no. 2, p. 256-274, https://doi.org/10.3390/agronomy3020256.","productDescription":"19 p.","startPage":"256","endPage":"274","ipdsId":"IP-042187","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":474024,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/agronomy3020256","text":"Publisher Index Page"},{"id":328332,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Zambia","volume":"3","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-04-11","publicationStatus":"PW","scienceBaseUri":"57d13a2fe4b0571647cf8d24","contributors":{"authors":[{"text":"Cornelissen, Gerard","contributorId":174426,"corporation":false,"usgs":false,"family":"Cornelissen","given":"Gerard","email":"","affiliations":[{"id":27452,"text":"Norwegian Geotechnical Institute","active":true,"usgs":false}],"preferred":false,"id":648276,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martinsen, Vegard","contributorId":174427,"corporation":false,"usgs":false,"family":"Martinsen","given":"Vegard","email":"","affiliations":[{"id":27453,"text":"Norwegian Univ of Life Sciences","active":true,"usgs":false}],"preferred":false,"id":648268,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shitumbanuma, Victor","contributorId":174433,"corporation":false,"usgs":false,"family":"Shitumbanuma","given":"Victor","email":"","affiliations":[],"preferred":false,"id":648269,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alling, Vanja","contributorId":174434,"corporation":false,"usgs":false,"family":"Alling","given":"Vanja","email":"","affiliations":[],"preferred":false,"id":648270,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Breedveld, Gijs D.","contributorId":174435,"corporation":false,"usgs":false,"family":"Breedveld","given":"Gijs","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":648271,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rutherford, David W. dwruther@usgs.gov","contributorId":1325,"corporation":false,"usgs":true,"family":"Rutherford","given":"David","email":"dwruther@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":648255,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sparrevik, Magnus","contributorId":174436,"corporation":false,"usgs":false,"family":"Sparrevik","given":"Magnus","email":"","affiliations":[],"preferred":false,"id":648272,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hale, Sarah E.","contributorId":174437,"corporation":false,"usgs":false,"family":"Hale","given":"Sarah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":648273,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Obia, Alfred","contributorId":174438,"corporation":false,"usgs":false,"family":"Obia","given":"Alfred","email":"","affiliations":[],"preferred":false,"id":648274,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mulder, Jan","contributorId":174439,"corporation":false,"usgs":false,"family":"Mulder","given":"Jan","email":"","affiliations":[],"preferred":false,"id":648275,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70173624,"text":"70173624 - 2013 - Lakes without Landsat? Implications of scale and an alternative approach to regional remote lake monitoring using MODIS 250 m imagery","interactions":[],"lastModifiedDate":"2021-04-02T16:42:48.793655","indexId":"70173624","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2592,"text":"Lake and Reservoir Management","active":true,"publicationSubtype":{"id":10}},"title":"Lakes without Landsat? Implications of scale and an alternative approach to regional remote lake monitoring using MODIS 250 m imagery","docAbstract":"We evaluated use of MODIS 250 m imagery for remote lake monitoring in Maine. Despite limited spectral resolution (visible red and near infrared bands), the twice daily image capture has a potential advantage over conventionally used, often cloudy Landsat imagery (16 day interval) when short time windows are of interest. We analyzed 364 eligible (≥100 ha) Maine lakes during late summer (Aug–early Sep) 2000–2011. The red band was strongly correlated with natural log-transformed Secchi depth (SD), and the addition of ancillary lake and watershed variables explained some variability in ln(SD) (R2 = 0.68–0.85; 9 models). Weak spectral resolution and variable lake conditions limited accurate lake monitoring to relatively productive periods in late summer, as indicated by inconsistent, sometimes weak regressions during June and July when lakes were clearer and less stable (R2 = 0.19–0.74; 8 models). Additionally, SD estimates derived from 2 sets of concurrent MODIS and Landsat imagery generally did not agree unless Landsat imagery (30 m) was resampled to 250 m, likely owing to various factors related to scale. Average MODIS estimates exceeded those of Landsat by 0.35 and 0.49 m on the 2 dates. Overall, MODIS 250 m imagery are potentially useful for remote lake monitoring during productive periods when Landsat data are unavailable; however, analyses must occur when algal communities are stable and well-developed, are biased toward large lakes, may overestimate SD, and accuracy may be unreliable without non-spectral lake predictors.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10402381.2013.778926","usgsCitation":"Ian M. McCullough, Loftin, C., and Sader, S.A., 2013, Lakes without Landsat? Implications of scale and an alternative approach to regional remote lake monitoring using MODIS 250 m imagery: Lake and Reservoir Management, v. 29, no. 2, p. 89-98, https://doi.org/10.1080/10402381.2013.778926.","productDescription":"10 p.","startPage":"89","endPage":"98","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-039304","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323412,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70198366,"text":"70198366 - 2013 - Current status, issues and applications of GIS to inland fisheries","interactions":[],"lastModifiedDate":"2018-09-01T23:09:56","indexId":"70198366","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesNumber":"T552","chapter":"9","title":"Current status, issues and applications of GIS to inland fisheries","docAbstract":"This chapter is concerned with GIS applications made to inland fisheries. These include fisheries in freshwater rivers, lakes and reservoirs. Although these GIS applications have increased rapidly since the late 1980s, this area of fish production receives less attention than either aquaculture or marine fisheries. This is probably because inland fisheries are often practised in remote areas, at a semi-subsistence level, or are recreational in many developed countries, and data on most aspects of the fisheries are scattered, fragmented and frequently unsuited for use as inputs to GIS. The GIS-based inland fisheries work has concentrated on mapping the distribution and abundance of fish species and mapping and modelling habitats in rivers, reservoirs and lakes, and relating the two. Much of the material included in the chapter on inland fisheries comes from either Fisher and Rahel (2004) or from the series of symposium proceedings published by the Fishery-Aquatic GIS Research Group (Nishida and Caton, 2010).
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Advances in geographic information systems and remote sensing for fisheries and aquaculture: Summary version (FAO Fisheries and Aquaculture Technical Paper 552)","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","publisher":"Food and Agriculture Organizaiton of the United Nations","publisherLocation":"Rome, Italy","issn":"2070-7010","isbn":"9789251073919","usgsCitation":"Fisher, W., 2013, Current status, issues and applications of GIS to inland fisheries, chap. 9 of Advances in geographic information systems and remote sensing for fisheries and aquaculture: Summary version (FAO Fisheries and Aquaculture Technical Paper 552), p. 59-64.","productDescription":"6 p.","startPage":"59","endPage":"64","ipdsId":"IP-033397","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":357017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":357016,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fao.org/publications/card/en/c/50c7a0ee-1879-5306-94bb-e602f382fee8"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98af08e4b0702d0e843f59","contributors":{"editors":[{"text":"Meaden, Geoffery J.","contributorId":50763,"corporation":false,"usgs":false,"family":"Meaden","given":"Geoffery","email":"","middleInitial":"J.","affiliations":[{"id":25526,"text":"FAO","active":true,"usgs":false}],"preferred":false,"id":744022,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Aguilar-Manjarrez, Jose","contributorId":115575,"corporation":false,"usgs":false,"family":"Aguilar-Manjarrez","given":"Jose","email":"","affiliations":[{"id":25526,"text":"FAO","active":true,"usgs":false}],"preferred":false,"id":744023,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Fisher, William wfisher@usgs.gov","contributorId":206607,"corporation":false,"usgs":true,"family":"Fisher","given":"William","email":"wfisher@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":741272,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70180163,"text":"70180163 - 2013 - On the identification of a Pliocene time slice for data–model comparison","interactions":[],"lastModifiedDate":"2017-01-25T10:27:28","indexId":"70180163","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3047,"text":"Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences","active":true,"publicationSubtype":{"id":10}},"title":"On the identification of a Pliocene time slice for data–model comparison","docAbstract":"The characteristics of the mid-Pliocene warm period (mPWP: 3.264–3.025 Ma BP) have been examined using geological proxies and climate models. While there is agreement between models and data, details of regional climate differ. Uncertainties in prescribed forcings and in proxy data limit the utility of the interval to understand the dynamics of a warmer than present climate or evaluate models. This uncertainty comes, in part, from the reconstruction of a time slab rather than a time slice, where forcings required by climate models can be more adequately constrained. Here, we describe the rationale and approach for identifying a time slice(s) for Pliocene environmental reconstruction. A time slice centred on 3.205 Ma BP (3.204–3.207 Ma BP) has been identified as a priority for investigation. It is a warm interval characterized by a negative benthic oxygen isotope excursion (0.21–0.23‰) centred on marine isotope stage KM5c (KM5.3). It occurred during a period of orbital forcing that was very similar to present day. Climate model simulations indicate that proxy temperature estimates are unlikely to be significantly affected by orbital forcing for at least a precession cycle centred on the time slice, with the North Atlantic potentially being an important exception.
","language":"English","publisher":"The Royal Society Publishing","doi":"10.1098/rsta.2012.0515","usgsCitation":"Haywood, A.M., Dolan, A.M., Pickering, S.J., Dowsett, H.J., McClymont, E.L., Prescott, C.L., Salzmann, U., Hill, D.J., Hunter, S.J., Lunt, D.J., Pope, J.O., and Valdes, P.J., 2013, On the identification of a Pliocene time slice for data–model comparison: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, v. 371, no. 2001, p. 1-21, https://doi.org/10.1098/rsta.2012.0515.","productDescription":"21 p.","startPage":"1","endPage":"21","ipdsId":"IP-039635","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":474145,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rsta.2012.0515","text":"Publisher Index Page"},{"id":333885,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"371","issue":"2001","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-10-28","publicationStatus":"PW","scienceBaseUri":"5889c79be4b0ba3b075e05df","contributors":{"authors":[{"text":"Haywood, Alan M.","contributorId":86663,"corporation":false,"usgs":true,"family":"Haywood","given":"Alan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":660569,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dolan, Aisling M.","contributorId":30117,"corporation":false,"usgs":true,"family":"Dolan","given":"Aisling","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":660570,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pickering, Steven J.","contributorId":147378,"corporation":false,"usgs":false,"family":"Pickering","given":"Steven","email":"","middleInitial":"J.","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":660571,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dowsett, Harry J. 0000-0003-1983-7524 hdowsett@usgs.gov","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":949,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry","email":"hdowsett@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":660572,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McClymont, Erin L.","contributorId":178700,"corporation":false,"usgs":false,"family":"McClymont","given":"Erin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":660573,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Prescott, Caroline L.","contributorId":178703,"corporation":false,"usgs":false,"family":"Prescott","given":"Caroline","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":660574,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Salzmann, Ulrich","contributorId":173101,"corporation":false,"usgs":false,"family":"Salzmann","given":"Ulrich","email":"","affiliations":[{"id":18103,"text":"Northumbria University, Newcastle Upon Tyne, UK","active":true,"usgs":false}],"preferred":false,"id":660575,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hill, Daniel J.","contributorId":80993,"corporation":false,"usgs":true,"family":"Hill","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":660576,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hunter, Stephen J.","contributorId":55711,"corporation":false,"usgs":true,"family":"Hunter","given":"Stephen","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":660577,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lunt, Daniel J.","contributorId":101168,"corporation":false,"usgs":true,"family":"Lunt","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":660586,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Pope, James O.","contributorId":173148,"corporation":false,"usgs":false,"family":"Pope","given":"James","email":"","middleInitial":"O.","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":660587,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Valdes, Paul J.","contributorId":6354,"corporation":false,"usgs":true,"family":"Valdes","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":660588,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70178489,"text":"70178489 - 2013 - Integrated hydrologic modeling of a transboundary aquifer system —Lower Rio Grande","interactions":[],"lastModifiedDate":"2017-01-20T10:47:07","indexId":"70178489","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Integrated hydrologic modeling of a transboundary aquifer system —Lower Rio Grande","docAbstract":"For more than 30 years the agreements developed for the aquifer systems of the lower Rio Grande and related river compacts of the Rio Grande River have evolved into a complex setting of transboundary conjunctive use. The conjunctive use now includes many facets of water rights, water use, and emerging demands between the states of New Mexico and Texas, the United States and Mexico, and various water-supply agencies. The analysis of the complex relations between irrigation and streamflow supplyand-demand components and the effects of surface-water and groundwater use requires an integrated hydrologic model to track all of the use and movement of water. MODFLOW with the Farm Process (MFFMP) provides the integrated approach needed to assess the stream-aquifer interactions that are dynamically affected by irrigation demands on streamflow allotments that are supplemented with groundwater pumpage. As a first step to the ongoing full implementation of MF-FMP by the USGS, the existing model (LRG_2007) was modified to include some FMP features, demonstrating the ability to simulate the existing streamflow-diversion relations known as the D2 and D3 curves, departure of downstream deliveries from these curves during low allocation years and with increasing efficiency upstream, and the dynamic relation between surface-water conveyance and estimates of pumpage and recharge. This new MF-FMP modeling framework can now internally analyze complex relations within the Lower Rio Grande Hydrologic Model (LRGHM_2011) that previous techniques had limited ability to assess.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"MODFLOW and more 2013--Translating science into practice","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Colorado School of Mines, Integrated Groundwater Modeling Center","publisherLocation":"Golden, CO","usgsCitation":"Hanson, R.T., Schmid, W., Knight, J.E., and Maddock, T., 2013, Integrated hydrologic modeling of a transboundary aquifer system —Lower Rio Grande, in MODFLOW and more 2013--Translating science into practice, p. 57-61.","productDescription":"5 p.","startPage":"57","endPage":"61","ipdsId":"IP-042752","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":333539,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58833023e4b0d0023163779a","contributors":{"authors":[{"text":"Hanson, Randall T. 0000-0002-9819-7141 rthanson@usgs.gov","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":801,"corporation":false,"usgs":true,"family":"Hanson","given":"Randall","email":"rthanson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654190,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmid, Wolfgang","contributorId":140408,"corporation":false,"usgs":false,"family":"Schmid","given":"Wolfgang","email":"","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":654192,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knight, Jacob E. 0000-0003-0271-9011 jknight@usgs.gov","orcid":"https://orcid.org/0000-0003-0271-9011","contributorId":5143,"corporation":false,"usgs":true,"family":"Knight","given":"Jacob","email":"jknight@usgs.gov","middleInitial":"E.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654189,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maddock, Thomas III","contributorId":32983,"corporation":false,"usgs":true,"family":"Maddock","given":"Thomas","suffix":"III","affiliations":[],"preferred":false,"id":654191,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70176401,"text":"70176401 - 2013 - Sediment transport due to extreme events: The Hudson River estuary after tropical storms Irene and Lee","interactions":[],"lastModifiedDate":"2016-09-13T09:29:59","indexId":"70176401","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Sediment transport due to extreme events: The Hudson River estuary after tropical storms Irene and Lee","docAbstract":"Tropical Storms Irene and Lee in 2011 produced intense precipitation and flooding in the U.S. Northeast, \nincluding the Hudson River watershed. Sediment input to the Hudson River was approximately 2.7 megaton, about \n5 times the long-term annual average. Rather than the common assumption that sediment is predominantly trapped \nin the estuary, observations and model results indicate that approximately two thirds of the new sediment \nremained trapped in the tidal freshwater river more than 1 month after the storms and only about one fifth of \nthe new sediment reached the saline estuary. High sediment concentrations were observed in the estuary, but \nthe model results suggest that this was predominantly due to remobilization of bed sediment. Spatially localized \ndeposits of new and remobilized sediment were consistent with longer term depositional records. The results \nindicate that tidal rivers can intercept (at least temporarily) delivery of terrigenous sediment to the marine \nenvironment during major flow events.","language":"English","publisher":"AGU Publications","doi":"10.1002/2013GL057906","usgsCitation":"Ralston, D., Warner, J., Geyer, W., and Wall, G.R., 2013, Sediment transport due to extreme events: The Hudson River estuary after tropical storms Irene and Lee: Geophysical Research Letters, v. 40, no. 20, p. 5451-5455, https://doi.org/10.1002/2013GL057906.","productDescription":"5 p.","startPage":"5451","endPage":"5455","ipdsId":"IP-051406","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":474055,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013gl057906","text":"Publisher Index Page"},{"id":328586,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"20","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2013-10-18","publicationStatus":"PW","scienceBaseUri":"57d92342e4b090824ffa1b30","contributors":{"authors":[{"text":"Ralston, David K.","contributorId":75796,"corporation":false,"usgs":true,"family":"Ralston","given":"David K.","affiliations":[],"preferred":false,"id":648606,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Geyer, W. Rockwell","contributorId":51588,"corporation":false,"usgs":true,"family":"Geyer","given":"W. Rockwell","affiliations":[],"preferred":false,"id":648607,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wall, Gary R. grwall@usgs.gov","contributorId":915,"corporation":false,"usgs":true,"family":"Wall","given":"Gary","email":"grwall@usgs.gov","middleInitial":"R.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":648608,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70190743,"text":"70190743 - 2013 - Seed harvesting is influenced by associational effects in mixed seed neighbourhoods, not just by seed density","interactions":[],"lastModifiedDate":"2017-09-13T15:38:44","indexId":"70190743","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1711,"text":"Functional Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Seed harvesting is influenced by associational effects in mixed seed neighbourhoods, not just by seed density","docAbstract":"- Rodents frequently forage in a density-dependent manner, increasing harvesting in patches with greater seed densities. Although seldom considered, seed harvesting may also depend on the species identities of other individuals in the seed neighbourhood. When the seed harvest of a focal species increases in association with another seed species, the focal species suffers from Associational Susceptibility. In contrast, if seeds of the focal species are harvested less when in association with a second species, the focal species benefits from Associational Resistance.
- To evaluate density dependence and associational effects among seeds in mixtures, we conducted seed removal experiments using a completely additive design patterned after a two-species competition experiment using seeds of either Achnatherum hymenoides(Indian ricegrass), Leymus cinereus (basin wildrye) or Pseudoroegneria spicata (bluebunch wheatgrass), all native perennial grasses, combined with seeds of Bromus tectorum(cheatgrass), a non-native annual grass. The experiment involved placing five fixed quantities of the native seeds mixed with five fixed quantities of B. tectorum seeds in a factorial design, resulting in 35 seed mixture combinations. The seed-eating rodent community at our study sites, in order of abundance, is composed of Peromyscus maniculatus (North American deer mouse), Dipodomys ordii (Ord's kangaroo rat) and Perognathus parvus (Great Basin pocket mouse).
- Native seed harvesting was density dependent, with a greater proportion of seeds being harvested as density increased. In the mixed density model, the presence of B. tectorumdid not affect harvest of any of the native species' seeds when analysed individually. However, when all three native species were analysed together, increasing quantities of B. tectorum resulted in reduced harvest of native seeds, demonstrating weak but significant Associational Resistance. In contrast, harvest of B. tectorum seeds increased when in combination with any of the native seed species individually, indicating relatively strong Associational Susceptibility.
- These results demonstrate that seed harvest is determined not just by seed density, but also by the local seed neighbourhood and suggest that associational effects between native seeds and B. tectorum can occur in field conditions. The ecological implications of seed selection and associational effects on plant populations in natural and managed systems are also discussed.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2435.12091","usgsCitation":"Ostoja, S., Schupp, E.W., Durham, S., and Klinger, R.C., 2013, Seed harvesting is influenced by associational effects in mixed seed neighbourhoods, not just by seed density: Functional Ecology, v. 27, no. 3, p. 775-785, https://doi.org/10.1111/1365-2435.12091.","productDescription":"11 p.","startPage":"775","endPage":"785","ipdsId":"IP-010017","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":474045,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2435.12091","text":"Publisher Index Page"},{"id":345705,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2013-04-09","publicationStatus":"PW","scienceBaseUri":"59ba43b9e4b091459a5629c1","contributors":{"authors":[{"text":"Ostoja, Steven M.","contributorId":193514,"corporation":false,"usgs":false,"family":"Ostoja","given":"Steven M.","affiliations":[],"preferred":false,"id":710296,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schupp, Eugene W.","contributorId":7824,"corporation":false,"usgs":true,"family":"Schupp","given":"Eugene","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":710297,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Durham, Susan","contributorId":69698,"corporation":false,"usgs":true,"family":"Durham","given":"Susan","email":"","affiliations":[],"preferred":false,"id":710298,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klinger, Robert C. 0000-0003-3193-3199 rcklinger@usgs.gov","orcid":"https://orcid.org/0000-0003-3193-3199","contributorId":5395,"corporation":false,"usgs":true,"family":"Klinger","given":"Robert","email":"rcklinger@usgs.gov","middleInitial":"C.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":710295,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70189935,"text":"70189935 - 2013 - Rethinking infiltration in wildfire-affected soils","interactions":[],"lastModifiedDate":"2017-08-01T08:25:29","indexId":"70189935","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Rethinking infiltration in wildfire-affected soils","docAbstract":"Wildfires frequently result in natural hazards such as flash floods (Yates et al., 2001) and debris flows (Cannon et al., 2001a,b; Gabet and Sternberg, 2008). One of the principal causes of the increased risk of post-wildfire hydrologically driven hazards is reduced in filtration rates (e.g. Scott and van Wyk, 1990; Cerdà, 1998; Robichaud, 2000; Martin and Moody, 2001). Beyond the reduction in peak infiltration rate, there is mounting evidence that the fundamental physics of infiltration in wild fire-affected soils is different from unburned soils (e.g. Imeson et al., 1992; Moody et al., 2009; Moody and Ebel, 2012).
Understanding post-wildfire hydrology is critical given the increasing wildfire incidence in the western USA (Westerling et al., 2006) and elsewhere in the world (Kasischke and Turetsky, 2006; Holz and Veblen, 2011; Pausas and Fernández-Muñoz, 2012). Wildfire is a disturbance event with global distribution (Bowman et al., 2009; Krawchuk et al., 2009; Pechony and Shindell, 2010; Moritz et al., 2012), and with increasing populations moving into fire-prone areas, understanding post-wildfire infiltration is of increasing importance for predicting post-wildfire consequences. Runoff is generally controlled by the infiltration-excess mechanism in fire-affected soils (e.g. Mayor et al., 2007; Onda et al., 2008; Kinner and Moody, 2010). It is essential that the fire community have conceptual models, physical equations and tools (i.e. numerical models) to predict infiltration and thus excess rainfall (after Horton, 1933), which can provide estimates of peak discharge, start of runoff, time to peak and total runoff for hydroclimatic scenarios after wildfires. Reductions in saturated hydraulic conductivity Ksat [LT-1] are common for fire-affected soils, and the relatively low values observed explain the elevated flash flood hazards (e.g. Ksat of 1–100 mm h-1 , Robichaud, 2000; Yates et al., 2000; Martin and Moody, 2001; Robichaud et al., 2007; Moody et al., 2009; Neary, 2011; Nyman et al., 2011).
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.9696","usgsCitation":"Ebel, B.A., and Moody, J.A., 2013, Rethinking infiltration in wildfire-affected soils: Hydrological Processes, v. 27, no. 10, p. 1510-1514, https://doi.org/10.1002/hyp.9696.","productDescription":"5 p.","startPage":"1510","endPage":"1514","ipdsId":"IP-042674","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344488,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"10","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-01-21","publicationStatus":"PW","scienceBaseUri":"59819316e4b0e2f5d463b7a7","contributors":{"authors":[{"text":"Ebel, Brian A. 0000-0002-5413-3963 bebel@usgs.gov","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":2557,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian","email":"bebel@usgs.gov","middleInitial":"A.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":707008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moody, John A. 0000-0003-2609-364X jamoody@usgs.gov","orcid":"https://orcid.org/0000-0003-2609-364X","contributorId":771,"corporation":false,"usgs":true,"family":"Moody","given":"John","email":"jamoody@usgs.gov","middleInitial":"A.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":707009,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70189568,"text":"70189568 - 2013 - Enhanced transfer of terrestrially derived carbon to the atmosphere in a flooding event","interactions":[],"lastModifiedDate":"2017-07-17T15:02:31","indexId":"70189568","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Enhanced transfer of terrestrially derived carbon to the atmosphere in a flooding event","docAbstract":"Rising CO2 concentration in the atmosphere, global climate change, and the sustainability of the Earth's biosphere are great societal concerns for the 21st century. Global climate change has, in part, resulted in a higher frequency of flooding events, which allow for greater exchange between soil/plant litter and aquatic carbon pools. Here we demonstrate that the summer 2011 flood in the Mississippi River basin, caused by extreme precipitation events, resulted in a “flushing” of terrestrially derived dissolved organic carbon (TDOC) to the northern Gulf of Mexico. Data from the lower Atchafalaya and Mississippi rivers showed that the DOC flux to the northern Gulf of Mexico during this flood was significantly higher than in previous years. We also show that consumption of radiocarbon-modern TDOC by bacteria in floodwaters in the lower Atchafalaya River and along the adjacent shelf contributed to northern Gulf shelf waters changing from a net sink to a net source of CO2 to the atmosphere in June and August 2011. This work shows that enhanced flooding, which may or may not be caused by climate change, can result in rapid losses of stored carbon in soils to the atmosphere via processes in aquatic ecosystems.
","language":"English","publisher":"AGU","doi":"10.1029/2012GL054145","usgsCitation":"Bianchi, T.S., Garcia-Tigreros, F., Yvon-Lewis, S.A., Shields, M., Mills, H.J., Butman, D., Osburn, C., Raymond, P.A., Shank, G.C., DiMarco, S.F., Walker, N., Kiel Reese, B., Mullins-Perry, R., Quigg, A., Aiken, G.R., and Grossman, E.L., 2013, Enhanced transfer of terrestrially derived carbon to the atmosphere in a flooding event: Geophysical Research Letters, v. 40, no. 1, p. 116-122, https://doi.org/10.1029/2012GL054145.","productDescription":"7 p.","startPage":"116","endPage":"122","ipdsId":"IP-040374","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-01-08","publicationStatus":"PW","scienceBaseUri":"596dcca5e4b0d1f9f0627574","contributors":{"authors":[{"text":"Bianchi, Thomas S.","contributorId":150225,"corporation":false,"usgs":false,"family":"Bianchi","given":"Thomas","email":"","middleInitial":"S.","affiliations":[{"id":17943,"text":"Univ of Florida","active":true,"usgs":false}],"preferred":false,"id":705234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garcia-Tigreros, Fenix 0000-0001-8694-9046","orcid":"https://orcid.org/0000-0001-8694-9046","contributorId":194744,"corporation":false,"usgs":false,"family":"Garcia-Tigreros","given":"Fenix","email":"","affiliations":[],"preferred":false,"id":705235,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yvon-Lewis, Shari A.","contributorId":119588,"corporation":false,"usgs":true,"family":"Yvon-Lewis","given":"Shari","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":705236,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shields, Michael","contributorId":150228,"corporation":false,"usgs":false,"family":"Shields","given":"Michael","email":"","affiliations":[{"id":17943,"text":"Univ of Florida","active":true,"usgs":false}],"preferred":false,"id":705237,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mills, Heath J.","contributorId":194745,"corporation":false,"usgs":false,"family":"Mills","given":"Heath","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":705238,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Butman, David 0000-0003-3520-7426 dbutman@usgs.gov","orcid":"https://orcid.org/0000-0003-3520-7426","contributorId":174187,"corporation":false,"usgs":true,"family":"Butman","given":"David","email":"dbutman@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":705239,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Osburn, Christopher","contributorId":194746,"corporation":false,"usgs":false,"family":"Osburn","given":"Christopher","affiliations":[],"preferred":false,"id":705240,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Raymond, Peter A.","contributorId":172876,"corporation":false,"usgs":false,"family":"Raymond","given":"Peter","email":"","middleInitial":"A.","affiliations":[{"id":17883,"text":"Yale School of Forestry and Environmental Studies, New Haven, CT","active":true,"usgs":false}],"preferred":false,"id":705241,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shank, G. Christopher","contributorId":194747,"corporation":false,"usgs":false,"family":"Shank","given":"G.","email":"","middleInitial":"Christopher","affiliations":[],"preferred":false,"id":705242,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"DiMarco, Steven F.","contributorId":15435,"corporation":false,"usgs":true,"family":"DiMarco","given":"Steven","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":705243,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Walker, Nan","contributorId":194748,"corporation":false,"usgs":false,"family":"Walker","given":"Nan","email":"","affiliations":[],"preferred":false,"id":705244,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kiel Reese, Brandi","contributorId":194749,"corporation":false,"usgs":false,"family":"Kiel Reese","given":"Brandi","email":"","affiliations":[],"preferred":false,"id":705245,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Mullins-Perry, Ruth","contributorId":194750,"corporation":false,"usgs":false,"family":"Mullins-Perry","given":"Ruth","email":"","affiliations":[],"preferred":false,"id":705246,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Quigg, Antonietta","contributorId":194751,"corporation":false,"usgs":false,"family":"Quigg","given":"Antonietta","email":"","affiliations":[],"preferred":false,"id":705247,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":705248,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Grossman, Ethan L.","contributorId":189344,"corporation":false,"usgs":false,"family":"Grossman","given":"Ethan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":705249,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
]}