The physical surface of the Earth is in constant change due to climate forcing and human activities. In the Midwestern United States, urban area, farmland, and dedicated energy crop (e.g., switchgrass) cultivation are predicted to expand in the coming decades, which will lead to changes in hydrological processes. This study is designed to (1) project the land use and land cover (LULC) by mid-century using the FORecasting SCEnarios of future land-use (FORE-SCE) model under the A1B greenhouse gas emission scenario (future condition) and (2) assess its potential impacts on the water cycle and water quality against the 2001 baseline condition in the Cedar River Basin using the physically based soil and water assessment tool (SWAT). We compared the baseline LULC (National Land Cover data 2001) and 2050 projection, indicating substantial expansions of urban area and pastureland (including the cultivation of bioenergy crops) and a decrease in rangeland. We then used the above two LULC maps as the input data to drive the SWAT model, keeping other input data (e.g., climate) unchanged to isolate the LULC change impacts. The modeling results indicate that quick-response surface runoff would increase significantly (about 10.5%) due to the projected urban expansion (i.e., increase in impervious areas), and the baseflow would decrease substantially (about 7.3%) because of the reduced infiltration. Although the net effect may cause an increase in water yield, the increased variability may impede its use for public supply. Additionally, the cultivation of bioenergy crops such as switchgrass in the newly added pasture lands may further reduce the soil water content and lead to an increase in nitrogen loading (about 2.5% increase) due to intensified fertilizer application. These study results will be informative to decision makers for sustainable water resource management when facing LULC change and an increasing demand for biofuel production in this area.
","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/8/2/024025","usgsCitation":"Wu, Y., Liu, S., Sohl, T.L., and Young, C., 2013, Projecting the land cover change and its environmental impacts in the Cedar River Basin in the Midwestern United States: Environmental Research Letters, v. 8, p. 1-13, https://doi.org/10.1088/1748-9326/8/2/024025.","productDescription":"Article 024025; 13 p.","startPage":"1","endPage":"13","ipdsId":"IP-045247","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474037,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/8/2/024025","text":"Publisher Index Page"},{"id":341313,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2013-05-20","publicationStatus":"PW","scienceBaseUri":"591abe3ae4b0a7fdb43c8c05","contributors":{"authors":[{"text":"Wu, Yiping ywu@usgs.gov","contributorId":987,"corporation":false,"usgs":true,"family":"Wu","given":"Yiping","email":"ywu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":695177,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Shuguang 0000-0002-6027-3479 sliu@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3479","contributorId":147403,"corporation":false,"usgs":true,"family":"Liu","given":"Shuguang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":695175,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sohl, Terry L. 0000-0002-9771-4231 sohl@usgs.gov","orcid":"https://orcid.org/0000-0002-9771-4231","contributorId":648,"corporation":false,"usgs":true,"family":"Sohl","given":"Terry","email":"sohl@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":695176,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Young, Claudia 0000-0002-0859-7206 claudia.young.ctr@usgs.gov","orcid":"https://orcid.org/0000-0002-0859-7206","contributorId":192026,"corporation":false,"usgs":true,"family":"Young","given":"Claudia","email":"claudia.young.ctr@usgs.gov","affiliations":[],"preferred":false,"id":695174,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192591,"text":"70192591 - 2013 - 100,000-year-long terrestrial record of millennial-scale linkage between eastern North American mid-latitude paleovegetation shifts and Greenland ice-core oxygen isotope trends","interactions":[],"lastModifiedDate":"2017-10-26T22:13:15","indexId":"70192591","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"100,000-year-long terrestrial record of millennial-scale linkage between eastern North American mid-latitude paleovegetation shifts and Greenland ice-core oxygen isotope trends","docAbstract":"We document frequent, rapid, strong, millennial-scale paleovegetation shifts throughout the late Pleistocene, within a 100,000+ yr interval (~ 115–15 ka) of terrestrial sediments from the mid-Atlantic Region (MAR) of North America. High-resolution analyses of fossil pollen from one core locality revealed a continuously shifting sequence of thermally dependent forest assemblages, ranging between two endmembers: subtropical oak-tupelo-bald cypress-gum forest and high boreal spruce-pine forest. Sedimentary textural evidence indicates fluvial, paludal, and loess deposition, and paleosol formation, representing sequential freshwater to subaerial environments in which this record was deposited. Its total age\"depth model, based on radiocarbon and optically stimulated luminescence ages, ranges from terrestrial oxygen isotope stages (OIS) 6 to 1. The particular core sub-interval presented here is correlative in trend and timing to that portion of the oxygen isotope sequence common among several Greenland ice cores: interstades GI2 to GI24 (≈ OIS2–5 d). This site thus provides the first evidence for an essentially complete series of \"Dansgaard\"Oeschger\" climate events in the MAR. These data reveal that the ~ 100,000 yr preceding the Late Glacial and Holocene in the MAR of North America were characterized by frequently and dynamically changing climate states, and by vegetation shifts that closely tracked the Greenland paleoclimate sequence.
","language":"English","publisher":"Cambridge University Press","doi":"10.1016/j.yqres.2013.05.003","usgsCitation":"Litwin, R.J., Smoot, J.P., Pavich, M.J., Markewich, H.W., Brook, G., and Durika, N.J., 2013, 100,000-year-long terrestrial record of millennial-scale linkage between eastern North American mid-latitude paleovegetation shifts and Greenland ice-core oxygen isotope trends: Quaternary Research, v. 80, no. 2, p. 291-315, https://doi.org/10.1016/j.yqres.2013.05.003.","productDescription":"25 p.","startPage":"291","endPage":"315","ipdsId":"IP-039550","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":347518,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-20","publicationStatus":"PW","scienceBaseUri":"5a07ef4ae4b09af898c8cd89","contributors":{"authors":[{"text":"Litwin, Ronald J. 0000-0002-8661-1296 rlitwin@usgs.gov","orcid":"https://orcid.org/0000-0002-8661-1296","contributorId":2478,"corporation":false,"usgs":true,"family":"Litwin","given":"Ronald","email":"rlitwin@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":716474,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smoot, Joseph P. 0000-0002-5064-8070 jpsmoot@usgs.gov","orcid":"https://orcid.org/0000-0002-5064-8070","contributorId":2742,"corporation":false,"usgs":true,"family":"Smoot","given":"Joseph","email":"jpsmoot@usgs.gov","middleInitial":"P.","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":716471,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pavich, Milan J. mpavich@usgs.gov","contributorId":2348,"corporation":false,"usgs":true,"family":"Pavich","given":"Milan","email":"mpavich@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":716472,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Markewich, Helaine W. 0000-0001-9656-3243 helainem@usgs.gov","orcid":"https://orcid.org/0000-0001-9656-3243","contributorId":2008,"corporation":false,"usgs":true,"family":"Markewich","given":"Helaine","email":"helainem@usgs.gov","middleInitial":"W.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":716470,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brook, George","contributorId":198579,"corporation":false,"usgs":false,"family":"Brook","given":"George","email":"","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":716475,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Durika, Nancy J. 0000-0001-7448-8908 ndurika@usgs.gov","orcid":"https://orcid.org/0000-0001-7448-8908","contributorId":4439,"corporation":false,"usgs":true,"family":"Durika","given":"Nancy","email":"ndurika@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":596,"text":"U.S. Geological Survey National Center","active":false,"usgs":true}],"preferred":true,"id":716473,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70189191,"text":"70189191 - 2013 - Transport and fate of microbial pathogens in agricultural settings","interactions":[],"lastModifiedDate":"2017-07-06T13:32:37","indexId":"70189191","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1345,"text":"Critical Reviews in Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Transport and fate of microbial pathogens in agricultural settings","docAbstract":"An understanding of the transport and survival of microbial pathogens (pathogens hereafter) in agricultural settings is needed to assess the risk of pathogen contamination to water and food resources, and to develop control strategies and treatment options. However, many knowledge gaps still remain in predicting the fate and transport of pathogens in runoff water, and then through the shallow vadose zone and groundwater. A number of transport pathways, processes, factors, and mathematical models often are needed to describe pathogen fate in agricultural settings. The level of complexity is dramatically enhanced by soil heterogeneity, as well as by temporal variability in temperature, water inputs, and pathogen sources. There is substantial variability in pathogen migration pathways, leading to changes in the dominant processes that control pathogen transport over different spatial and temporal scales. For example, intense rainfall events can generate runoff and preferential flow that can rapidly transport pathogens. Pathogens that survive for extended periods of time have a greatly enhanced probability of remaining viable when subjected to such rapid-transport events. Conversely, in dry seasons, pathogen transport depends more strongly on retention at diverse environmental surfaces controlled by a multitude of coupled physical, chemical, and microbiological factors. These interactions are incompletely characterized, leading to a lack of consensus on the proper mathematical framework to model pathogen transport even at the column scale. In addition, little is known about how to quantify transport and survival parameters at the scale of agricultural fields or watersheds. This review summarizes current conceptual and quantitative models for pathogen transport and fate in agricultural settings over a wide range of spatial and temporal scales. The authors also discuss the benefits that can be realized by improved modeling, and potential treatments to mitigate the risk of waterborne disease transmission.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10643389.2012.710449","usgsCitation":"Bradford, S.A., Morales, V.L., Zhang, W., Harvey, R.W., Packman, A.I., Mohanram, A., and Welty, C., 2013, Transport and fate of microbial pathogens in agricultural settings: Critical Reviews in Environmental Science and Technology, v. 43, no. 8, p. 775-893, https://doi.org/10.1080/10643389.2012.710449.","productDescription":"119 p.","startPage":"775","endPage":"893","ipdsId":"IP-035837","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343420,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595f4c44e4b0d1f9f057e370","contributors":{"authors":[{"text":"Bradford, Scott A.","contributorId":194257,"corporation":false,"usgs":false,"family":"Bradford","given":"Scott","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":703735,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morales, Veronica L.","contributorId":168667,"corporation":false,"usgs":false,"family":"Morales","given":"Veronica","email":"","middleInitial":"L.","affiliations":[{"id":25347,"text":"Abertay University, Dundee, UK","active":true,"usgs":false}],"preferred":false,"id":703736,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Wei","contributorId":168668,"corporation":false,"usgs":false,"family":"Zhang","given":"Wei","email":"","affiliations":[{"id":25348,"text":"Michigan State University, East Lansing","active":true,"usgs":false}],"preferred":false,"id":703737,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harvey, Ronald W. 0000-0002-2791-8503 rwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2791-8503","contributorId":564,"corporation":false,"usgs":true,"family":"Harvey","given":"Ronald","email":"rwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703425,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Packman, Aaron I.","contributorId":124517,"corporation":false,"usgs":false,"family":"Packman","given":"Aaron","email":"","middleInitial":"I.","affiliations":[{"id":5041,"text":"Department of Civil and Environmental Engineering, Northwestern University, Evanston, Illinois, USA","active":true,"usgs":false}],"preferred":false,"id":703738,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mohanram, Arvind","contributorId":194201,"corporation":false,"usgs":false,"family":"Mohanram","given":"Arvind","email":"","affiliations":[],"preferred":false,"id":703739,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Welty, Claire","contributorId":39416,"corporation":false,"usgs":true,"family":"Welty","given":"Claire","email":"","affiliations":[],"preferred":false,"id":703740,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70156864,"text":"70156864 - 2013 - Water quality status and trends in the United States","interactions":[],"lastModifiedDate":"2021-10-28T15:39:06.997563","indexId":"70156864","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Water quality status and trends in the United States","docAbstract":"Information about water quality is vital to ensure long-term availability and sustainability of water that is safe for drinking and recreation and suitable for industry, irrigation, fish, and wildlife. Protecting and enhancing water quality is a national priority, requiring information on water-quality status and trends, progress toward clean water standards, continuing problems, and emerging challenges. In this brief review, we discuss U.S. Geological Survey assessments of nutrient pollution, pesticides, mixtures of organic wastewater compounds (known as emerging contaminants), sediment-bound contaminants (like lead and DDT), and mercury, among other contaminants. Additionally, aspects of land use and current and emerging challenges associated with climate change are presented. Climate change must be considered, as water managers continue their efforts to maintain sufficient water of good quality for humans and for the ecosystem.
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Much of the attention has been on discovering universal scaling laws that emerge from simple physical and geometric processes. However, there are regular patterns of departures both from those scaling laws and from continuous distributions of attributes of systems. Those departures often demonstrate the development of self-organized interactions between living systems and physical processes over narrower ranges of scale.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of environmetrics","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"John Wiley & Sons, Ltd","publisherLocation":"Chichester, UK","doi":"10.1002/9780470057339.vac061.pub2","usgsCitation":"Allen, C.R., Holling, C.S., and Garmestani, A.S., 2013, Cross-scale morphology, chap. of Encyclopedia of environmetrics, v. 2, https://doi.org/10.1002/9780470057339.vac061.pub2.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-039688","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":309462,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","edition":"2nd","noUsgsAuthors":false,"publicationDate":"2013-01-15","publicationStatus":"PW","scienceBaseUri":"56349513e4b048076347fc75","contributors":{"editors":[{"text":"El-Shaarawi, Abdel H.","contributorId":114059,"corporation":false,"usgs":true,"family":"El-Shaarawi","given":"Abdel","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":576305,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Piegorsch, Walter W.","contributorId":112670,"corporation":false,"usgs":true,"family":"Piegorsch","given":"Walter","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":576306,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":576302,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holling, Crawford S.","contributorId":20511,"corporation":false,"usgs":true,"family":"Holling","given":"Crawford","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":576303,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garmestani, Ahjond S.","contributorId":77285,"corporation":false,"usgs":true,"family":"Garmestani","given":"Ahjond","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":576304,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70156807,"text":"70156807 - 2013 - Global climate change impacts on coastal ecosystems in the Gulf of Mexico: Considerations for integrated coastal management","interactions":[],"lastModifiedDate":"2022-11-08T17:44:55.184766","indexId":"70156807","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Global climate change impacts on coastal ecosystems in the Gulf of Mexico: Considerations for integrated coastal management","docAbstract":"Global climate change is important in considerations of integrated coastal management in the Gulf of Mexico. This is true for a number of reasons. Climate in the Gulf spans the range from tropical to the lower part of the temperate zone. Thus, as climate warms, the tropical temperate interface, which is currently mostly offshore in the Gulf of Mexico, will increasingly move over the coastal zone of the northern and eastern parts of the Gulf. Currently, this interface is located in South Florida and around the US-Mexico border in the Texas-Tamaulipas region. Maintaining healthy coastal ecosystems is important because they will be more resistant to climate change.
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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":404,"text":"NGTOC Rolla","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","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":70156522,"text":"70156522 - 2013 - Interactions among hydrogeomorphology, vegetation, and nutrient biogeochemistry in floodplain ecosystems","interactions":[],"lastModifiedDate":"2020-10-16T14:53:06.263227","indexId":"70156522","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"subseriesTitle":"Treatise on Geomorphology","title":"Interactions among hydrogeomorphology, vegetation, and nutrient biogeochemistry in floodplain ecosystems","docAbstract":"Hydrogeomorphic, vegetative, and biogeochemical processes interact in floodplains resulting in great complexity that provides opportunities to better understand linkages among physical and biological processes in ecosystems. Floodplains and their associated river systems are structured by four-dimensional gradients of hydrogeomorphology: longitudinal, lateral, vertical, and temporal components. These four dimensions create dynamic hydrologic and geomorphologic mosaics that have a large imprint on the vegetation and nutrient biogeochemistry of floodplains. Plant physiology, population dynamics, community structure, and productivity are all very responsive to floodplain hydrogeomorphology. The strength of this relationship between vegetation and hydrogeomorphology is evident in the use of vegetation as an indicator of hydrogeomorphic processes. However, vegetation also influences hydrogeomorphology by modifying hydraulics and sediment entrainment and deposition that typically stabilize geomorphic patterns. Nitrogen and phosphorus biogeochemistry commonly influence plant productivity and community composition, although productivity is not limited by nutrient availability in all floodplains. Conversely, vegetation influences nutrient biogeochemistry through direct uptake and storage as well as production of organic matter that regulates microbial biogeochemical processes. The biogeochemistries of nitrogen and phosphorus cycling are very sensitive to spatial and temporal variation in hydrogeomorphology, in particular floodplain wetness and sedimentation. The least-studied interaction is the direct effect of biogeochemistry on hydrogeomorphology, but the control of nutrient availability over organic matter decomposition and thus soil permeability and elevation is likely important. Biogeochemistry also has the more documented but indirect control of hydrogeomorphology through regulation of plant biomass. In summary, the defining characteristics of floodplain ecosystems are determined by the many interactions among physical and biological processes. Conservation and restoration of the valuable ecosystem services that floodplains provide depend on improved understanding and predictive models of interactive system controls and behavior.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Treatise on geomorphology","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elselvier","doi":"10.1016/B978-0-12-374739-6.00338-9","usgsCitation":"Noe, G.B., 2013, Interactions among hydrogeomorphology, vegetation, and nutrient biogeochemistry in floodplain ecosystems, chap. of Treatise on geomorphology, v. 12, p. 307-321, https://doi.org/10.1016/B978-0-12-374739-6.00338-9.","productDescription":"15 p.","startPage":"307","endPage":"321","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":307238,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55dc402fe4b0518e354d110b","contributors":{"editors":[{"text":"Shroder, John F.","contributorId":113549,"corporation":false,"usgs":true,"family":"Shroder","given":"John F.","affiliations":[],"preferred":false,"id":569384,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Noe, G. B.","contributorId":146903,"corporation":false,"usgs":true,"family":"Noe","given":"G.","email":"","middleInitial":"B.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":569382,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70154975,"text":"70154975 - 2013 - Valley plugs, land use, and phytogeomorphic response: Chapter 14","interactions":[],"lastModifiedDate":"2015-07-22T11:31:24","indexId":"70154975","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"14","title":"Valley plugs, land use, and phytogeomorphic response: Chapter 14","docAbstract":"Anthropogenic alteration of fluvial systems can disrupt functional processes that provide valuable ecosystem services. Channelization alters fluvial parameters and the connectivity of river channels to their floodplains which is critical for productivity, nutrient cycling, flood control, and biodiversity. The effects of channelization can be exacerbated by local geology and land-use activities, resulting in dramatic geomorphic readjustments including the formation of valley plugs. Considerable variation in the response of abiotic processes, including surface hydrology, subsurface hydrology, and sedimentation dynamics, to channelization and the formation of valley plugs. Altered abiotic processes associated with these geomorphic features and readjustments influence biotic processes including species composition, abundance, and successional processes. Considerable interest exists for restoring altered fluvial systems and their floodplains because of their social and ecological importance. Understanding abiotic and biotic responses of channelization and valley-plug formation within the context of the watershed is essential to successful restoration. This chapter focuses on the primary causes of valley-plug formation, resulting fluvial-geomorphic responses, vegetation responses, and restoration and research needs for these systems.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Treatise on Geomorphology: Ecogeomorphology","language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-374739-6.00330-4","usgsCitation":"Pierce, A.R., and King, S.L., 2013, Valley plugs, land use, and phytogeomorphic response: Chapter 14, chap. 14 of Treatise on Geomorphology: Ecogeomorphology, v. 12, p. 221-235, https://doi.org/10.1016/B978-0-12-374739-6.00330-4.","productDescription":"15 p.","startPage":"221","endPage":"235","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-025579","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305892,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55b0beafe4b09a3b01b530ab","contributors":{"editors":[{"text":"Shroder, John F.","contributorId":145788,"corporation":false,"usgs":false,"family":"Shroder","given":"John","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":565302,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Pierce, Aaron R.","contributorId":94421,"corporation":false,"usgs":false,"family":"Pierce","given":"Aaron","email":"","middleInitial":"R.","affiliations":[{"id":33463,"text":"Nicholls State University, Thibodaux, LA","active":true,"usgs":false}],"preferred":false,"id":565301,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564454,"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":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","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}]}} ,{"id":70182180,"text":"70182180 - 2013 - Wildfire and aspect effects on hydrologic states after the 2010 Fourmile Canyon Fire","interactions":[],"lastModifiedDate":"2017-02-20T11:40:17","indexId":"70182180","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3674,"text":"Vadose Zone Journal","active":true,"publicationSubtype":{"id":10}},"title":"Wildfire and aspect effects on hydrologic states after the 2010 Fourmile Canyon Fire","docAbstract":"Wildfire can change how soils take in, store, and release water. This study examined differences in how burned and unburned plots on north versus south-facing slope aspects respond to rainfall. The largest wildfire impacts were litter/duff combustion on burned north-facing slopes versus soil-water retention reduction on burned south-facing slopes.
Wildfire is one of the most significant disturbances in mountainous landscapes, affecting water supply and ecologic function and setting the stage for natural hazards such as flash floods. The impacts of wildfire can affect the entire hydrologic cycle. Measurements of soil-water content and matric potential in the near surface (top 30 cm) captured the hydrologic state in both burned and unburned hillslopes during the first spring through fall period (1 June–1 Oct. 2011) after the 2010 Fourmile Canyon Fire near Boulder, CO. This time span included different hydrologic periods characterized by cyclonic frontal storms (low-intensity, long duration), convective storms (high-intensity, short duration), and dry periods. In mountainous environments, aspect can also control hydrologic states, so north- vs. south-facing slopes were compared. Wildfire tended to homogenize soil-water contents across aspects and with depth in the soil, yet it also may have introduced an aspect control on matric potential that was not observed in unburned soils. Post-wildfire changes in hydrologic state were observed in south-facing soils, probably reflecting decreased soil-water retention after wildfire. North-facing soils were impacted the most, in terms of hydrologic state, by the loss of water storage in the combusted litter–duff layer and forest canopy, which had provided a large “hydrologic buffering” capacity when unburned. Unsaturated zone measurements showed increased variability in hydrologic states and more rapid state transitions in wildfire-impacted soils. A simple, qualitative analysis suggested that the range of unsaturated-zone processes along the gravity–capillarity–adsorption continuum was expanded by wildfire for a given soil. The small number of experimental plots in this study suggests that further work is needed before these conclusions can be generalized to other geographic areas.
","language":"English","publisher":"Soil Science Society of America","doi":"10.2136/vzj2012.0089","usgsCitation":"Ebel, B.A., 2013, Wildfire and aspect effects on hydrologic states after the 2010 Fourmile Canyon Fire: Vadose Zone Journal, v. 12, no. 1, https://doi.org/10.2136/vzj2012.0089.","ipdsId":"IP-038010","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":335829,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-02-04","publicationStatus":"PW","scienceBaseUri":"58ac0e31e4b0ce4410e7d60a","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":669908,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70188335,"text":"70188335 - 2013 - Establishing an operational waterhole monitoring system using satellite data and hydrologic modelling: Application in the pastoral regions of East Africa","interactions":[],"lastModifiedDate":"2017-06-06T13:38:58","indexId":"70188335","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5413,"text":"Pastoralism: Research, Policy and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Establishing an operational waterhole monitoring system using satellite data and hydrologic modelling: Application in the pastoral regions of East Africa","docAbstract":"Timely information on the availability of water and forage is important for the sustainable development of pastoral regions. The lack of such information increases the dependence of pastoral communities on perennial sources, which often leads to competition and conflicts. The provision of timely information is a challenging task, especially due to the scarcity or non-existence of conventional station-based hydrometeorological networks in the remote pastoral regions. A multi-source water balance modelling approach driven by satellite data was used to operationally monitor daily water level fluctuations across the pastoral regions of northern Kenya and southern Ethiopia. Advanced Spaceborne Thermal Emission and Reflection Radiometer data were used for mapping and estimating the surface area of the waterholes. Satellite-based rainfall, modelled run-off and evapotranspiration data were used to model daily water level fluctuations. Mapping of waterholes was achieved with 97% accuracy. Validation of modelled water levels with field-installed gauge data demonstrated the ability of the model to capture the seasonal patterns and variations. Validation results indicate that the model explained 60% of the observed variability in water levels, with an average root-mean-squared error of 22%. Up-to-date information on rainfall, evaporation, scaled water depth and condition of the waterholes is made available daily in near-real time via the Internet (http://watermon.tamu.edu). Such information can be used by non-governmental organizations, governmental organizations and other stakeholders for early warning and decision making. This study demonstrated an integrated approach for establishing an operational waterhole monitoring system using multi-source satellite data and hydrologic modelling.
","language":"English","publisher":"Springer","doi":"10.1186/2041-7136-3-20","usgsCitation":"Senay, G., Velpuri, N.M., Alemu, H., Pervez, S., Asante, K.O., Karuki, G., Taa, A., and Angerer, J., 2013, Establishing an operational waterhole monitoring system using satellite data and hydrologic modelling: Application in the pastoral regions of East Africa: Pastoralism: Research, Policy and Practice, v. 3, p. 1-16, https://doi.org/10.1186/2041-7136-3-20.","productDescription":"Article 20; 16 p.","startPage":"1","endPage":"16","ipdsId":"IP-049147","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474022,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/2041-7136-3-20","text":"Publisher Index Page"},{"id":342154,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Africa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 33,\n -0\n ],\n [\n 42.0556640625,\n -0\n ],\n [\n 42.0556640625,\n 9\n ],\n [\n 33,\n 9\n ],\n [\n 33,\n -0\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"3","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5937bf30e4b0f6c2d0d9c7a0","contributors":{"authors":[{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":152206,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel B.","email":"senay@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":697260,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Velpuri, Naga Manohar 0000-0002-6370-1926 nvelpuri@usgs.gov","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":166813,"corporation":false,"usgs":true,"family":"Velpuri","given":"Naga","email":"nvelpuri@usgs.gov","middleInitial":"Manohar","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":697261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alemu, Henok","contributorId":124527,"corporation":false,"usgs":false,"family":"Alemu","given":"Henok","email":"","affiliations":[{"id":5087,"text":"Geographic Information Science Center of Excellence (GIScCE), South Dakota State University, Brookings, USA","active":true,"usgs":false}],"preferred":false,"id":697262,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pervez, Shahriar Md 0000-0003-3417-1871 shahriar.pervez.ctr@usgs.gov","orcid":"https://orcid.org/0000-0003-3417-1871","contributorId":192362,"corporation":false,"usgs":true,"family":"Pervez","given":"Shahriar Md","email":"shahriar.pervez.ctr@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":697263,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Asante, Kwabena O 0000-0001-5408-1852","orcid":"https://orcid.org/0000-0001-5408-1852","contributorId":192649,"corporation":false,"usgs":true,"family":"Asante","given":"Kwabena","email":"","middleInitial":"O","affiliations":[],"preferred":true,"id":697264,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Karuki, Gatarwa","contributorId":192650,"corporation":false,"usgs":false,"family":"Karuki","given":"Gatarwa","email":"","affiliations":[],"preferred":false,"id":697265,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Taa, Asefa","contributorId":192651,"corporation":false,"usgs":false,"family":"Taa","given":"Asefa","email":"","affiliations":[],"preferred":false,"id":697266,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Angerer, Jay","contributorId":172794,"corporation":false,"usgs":false,"family":"Angerer","given":"Jay","email":"","affiliations":[],"preferred":false,"id":697267,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"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":70041785,"text":"70041785 - 2013 - Mobile Bay","interactions":[],"lastModifiedDate":"2022-12-21T16:15:21.87051","indexId":"70041785","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"chapter":"K","title":"Mobile Bay","docAbstract":"Mobile Bay is the largest bay found in Alabama’s coastal area (Handley et al., 2007). It was named an Estuary of National Significance in 1995 under the U.S. Environmental Protection Agency’s (EPA) National Estuary Program (NEP), and its Comprehensive Conservation Management Plan was completed in 2002. Mobile Bay is 1,070 km2 (413 miles2) in area and 51 km (32 miles) long, making it the sixth largest estuary in the continental United States (Mobile Bay NEP, 2008). Its ecosystem provides habitat for more than 300 species of birds, 310 species of fish, 68 species of reptiles, 57 species of mammals, 40 species of amphibians, and 15 species of shrimp (Mobile Bay NEP, 1997). Mobile Bay lies between the Mississippi and Atlantic Flyways (Mobile Bay NEP, 2003). Commercial and residential development and industrial use is heavy in the Mobile Bay area. Although local growth and industrial markets support the Mobile Bay area economy, the resulting environmental damage to the very ecosystem upon which they depend remains a threat to the environment, economy, and population.
The Mobile Bay ecosystem boasts high biological diversity and productivity and supports many freshwater and saltwater species of recreational and commercial importance. The great diversity of Mobile Bay reflects the diversity of Alabama, which is home to the largest number of different plant and animal species of all states east of the Mississippi River (Stein, 2002), and is bolstered by the unique climate and geographic conditions surrounding the bay. Freshwater inflow from the Mobile-Tensaw River Delta, ranging from 60,000 to 3,700,000 gallons per second (Wallace, 1996), mixes with saltwater from the Gulf of Mexico, which enters Mobile Bay via wind and tides (Burgan and Engle, 2006). Because of the unique conditions surrounding Mobile Bay, including shallow waters, a dynamic climate, and artificial hydrologic modifications—such as the construction of the Mobile Bay Causeway in the 1920s, which serves as an unintentional barrier between Delta waters north of the Causeway and saline waters south of the Causeway, the salinity of Mobile Bay is highly variable. Mobile Bay receives an average of 165 cm (65 inches) of rain per year from tropical storms, summer thunderstorms, and winter cold fronts (Stout et al., 1998).
The climate and geography that have made Mobile Bay so rich in resources have also contributed to the threats surrounding its ecosystem. The extensive amount of rain in Mobile Bay creates large amounts of runoff, polluting the waters with fertilizers, chemicals, sediment, oil, trash, and sewage (Mobile Bay NEP, 1997). Tourism, ecotourism, recreational and commercial fishing, recreational boating, shipping, and chemical, pulp, and paper production are significant industries in Mobile Bay and the surrounding areas. Despite the approximate \\$3 billion and 55,000 jobs these industries bring into the community (Alabama Tourism Department, 2010), the growth, development, and environmental stress they create are major threats to the Mobile Bay ecosystem.
Among the nation’s states, Alabama ranks fifth in number of different species (144 endemic species), second in number of extinctions that have already occurred (90 extinct species) and fourth in number of species at risk for extinction (14.8% at risk out of 4,533 total species; Stein, 2002). Twenty-one of these threatened and endangered species are found in Mobile Bay, whose brackish waters provide a nursery area for many species of vertebrates and invertebrates. Some of these species include the Alabama sturgeon, Gulf sturgeon, heavy pigtoe mussel, inflated heel-splitter mussel, West Indian manatee, Alabama beach mouse, Perdido beach mouse, Alabama red-bellied turtle, gopher tortoise, Kemp’s ridley sea turtle, green sea turtle, loggerhead sea turtle, eastern indigo snake, flatwoods salamander, piping plover, red-cockaded woodpecker, and wood stork. Habitat loss underlies the decline of some bird species in Mobile Bay, and large mammals such as the red wolf, Florida panther, and Florida black bear are no longer found in the area. However, some rare species, such as the swallow-tailed kite, sandhill crane, and gopher tortoise can still be found (Duke and Kruczynski, 1992). The value of wetlands in Mobile Bay and the rest of the Gulf of Mexico is still being investigated. Although various monetary valuations of wetlands exist, critics remark that undervaluation of wetlands is inevitable (Mobile Bay NEP, 2008) and that estimates often do not place appropriate value on ecological services (Mitsch and Gosselink, 2000). Additionally, many estimates account only for anthropogenic values. One estimate concludes that one acre of wetlands performs \\$3,000 worth of water purification each year (Mobile Bay NEP, 1997). With more than 76,890 hectares (190,000 acres) of wetlands in the Mobile Bay area, that equates to a value exceeding one-half billion dollars every year. Tourism, fishing, boating, production, and shipping are significant industries in the Mobile Bay area. More than 90% of fish landed in recreational and commercial fishing in the bay depend on bay habitat, including wetlands, for life requirements (Mobile Bay NEP, 1997). The Port of Mobile is Alabama’s only ocean-ship port (Mobile Bay NEP, 2008). Baldwin County, on the eastern side of the bay, experienced a population increase of 75% from 1990 to 2007, with an 89% increase in housing units (Mobile Bay NEP, 2008). Development and industry support the Mobile Bay economy, but they depend on the continued health, sustainability, and production of the water and living resources of the Mobile Bay ecosystem. Wetland loss, along with other forms of environmental degradation, remains a threat to the Mobile Bay ecosystem and Mobile Bay’s socioeconomic foundation.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Emergent wetlands status and trends in the northern Gulf of Mexico: 1950-2010","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"conferenceTitle":"2013 Gulf of Mexico Alliance (GOMA) All Hands Meeting","conferenceDate":"June 25-27, 2013","conferenceLocation":"Tampa, FL","language":"English","publisher":"U.S. Geological Survey and U.S. Environmental Protection Agency","usgsCitation":"Handley, L.R., Spear, K.A., Jones, S., and Thatcher, C.A., 2013, Mobile Bay, 22 p.","productDescription":"22 p.","ipdsId":"IP-037809","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":344098,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":344097,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://gom.usgs.gov/web/Site/EmWetStatusTrends"}],"country":"United States","state":"Alabama","otherGeospatial":"Mobile Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.85,\n 30.5\n ],\n [\n -87.85,\n 30.9\n ],\n [\n -88.15,\n 30.9\n ],\n [\n -88.15,\n 30.7\n ],\n [\n -88.24,\n 30.7\n ],\n [\n -88.24,\n 30.3\n ],\n [\n -88.24,\n 30.25\n ],\n [\n -88.15,\n 30.25\n ],\n [\n -88.15,\n 30.1\n ],\n [\n -87.76,\n 30.1\n ],\n [\n -87.76,\n 30.5\n ],\n [\n -87.85,\n 30.5\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59706fdee4b0d1f9f065ab03","contributors":{"authors":[{"text":"Handley, Lawrence R. handleyl@usgs.gov","contributorId":3459,"corporation":false,"usgs":true,"family":"Handley","given":"Lawrence","email":"handleyl@usgs.gov","middleInitial":"R.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":743021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spear, Kathryn A. 0000-0001-8942-2856 speark@usgs.gov","orcid":"https://orcid.org/0000-0001-8942-2856","contributorId":1949,"corporation":false,"usgs":true,"family":"Spear","given":"Kathryn","email":"speark@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":705778,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Stephen","contributorId":118160,"corporation":false,"usgs":true,"family":"Jones","given":"Stephen","email":"","affiliations":[],"preferred":false,"id":705779,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thatcher, Cindy A. 0000-0003-0331-071X thatcherc@usgs.gov","orcid":"https://orcid.org/0000-0003-0331-071X","contributorId":2868,"corporation":false,"usgs":true,"family":"Thatcher","given":"Cindy","email":"thatcherc@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":423,"text":"National Geospatial Program","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":705780,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189045,"text":"70189045 - 2013 - Geophysical constraints on Rio Grande rift structure and stratigraphy from magnetotelluric models and borehole resistivity logs, northern New Mexico","interactions":[],"lastModifiedDate":"2017-06-29T14:14:26","indexId":"70189045","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Geophysical constraints on Rio Grande rift structure and stratigraphy from magnetotelluric models and borehole resistivity logs, northern New Mexico","docAbstract":"Two- and three-dimensional electrical resistivity models derived from the magnetotelluric method were interpreted to provide more accurate hydrogeologic parameters for the Albuquerque and Española Basins. Analysis and interpretation of the resistivity models are aided by regional borehole resistivity data. Examination of the magnetotelluric response of hypothetical stratigraphic cases using resistivity characterizations from the borehole data elucidates two scenarios where the magnetotelluric method provides the strongest constraints. In the first scenario, the magnetotelluric method constrains the thickness of extensive volcanic cover, the underlying thickness of coarser-grained facies of buried Santa Fe Group sediments, and the depth to Precambrian basement or overlying Pennsylvanian limestones. In the second scenario, in the absence of volcanic cover, the magnetotelluric method constrains the thickness of coarser-grained facies of buried Santa Fe Group sediments and the depth to Precambrian basement or overlying Pennsylvanian limestones. Magnetotelluric surveys provide additional constraints on the relative positions of basement rocks and the thicknesses of Paleozoic, Mesozoic, and Tertiary sedimentary rocks in the region of the Albuquerque and Española Basins. The northern extent of a basement high beneath the Cerros del Rio volcanic field is delineated. Our results also reveal that the largest offset of the Hubbell Spring fault zone is located 5 km west of the exposed scarp. By correlating our resistivity models with surface geology and the deeper stratigraphic horizons using deep well log data, we are able to identify which of the resistivity variations in the upper 2 km belong to the upper Santa Fe Group sediment
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"New perspectives on Rio Grande Rift Basins: From tectonics to groundwater","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2013.2494(13)","usgsCitation":"Rodriguez, B.D., and Sawyer, D.A., 2013, Geophysical constraints on Rio Grande rift structure and stratigraphy from magnetotelluric models and borehole resistivity logs, northern New Mexico, chap. of New perspectives on Rio Grande Rift Basins: From tectonics to groundwater, v. 494, p. 323-344, https://doi.org/10.1130/2013.2494(13).","productDescription":"22 p.","startPage":"323","endPage":"344","ipdsId":"IP-025934","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":343142,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107,\n 34.6\n ],\n [\n -106,\n 34.6\n ],\n [\n -106,\n 36\n ],\n [\n -107,\n 36\n ],\n [\n -107,\n 34.6\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"494","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595611c4e4b0d1f9f05067cd","contributors":{"editors":[{"text":"Hudson, Mark R. 0000-0003-0338-6079 mhudson@usgs.gov","orcid":"https://orcid.org/0000-0003-0338-6079","contributorId":1236,"corporation":false,"usgs":true,"family":"Hudson","given":"Mark R.","email":"mhudson@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":702731,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Grauch, V. J. S. 0000-0002-0761-3489 tien@usgs.gov","orcid":"https://orcid.org/0000-0002-0761-3489","contributorId":886,"corporation":false,"usgs":true,"family":"Grauch","given":"V.","email":"tien@usgs.gov","middleInitial":"J. S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702732,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Rodriguez, Brian D. 0000-0002-2263-611X brod@usgs.gov","orcid":"https://orcid.org/0000-0002-2263-611X","contributorId":836,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Brian","email":"brod@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sawyer, David A. dsawyer@usgs.gov","contributorId":1262,"corporation":false,"usgs":true,"family":"Sawyer","given":"David","email":"dsawyer@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":702730,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70041357,"text":"70041357 - 2013 - Spatial and temporal variations in landscape evolution: historic and longer-term sediment flux through global catchments","interactions":[],"lastModifiedDate":"2013-11-14T11:53:24","indexId":"70041357","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3566,"text":"The Journal of Geology","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal variations in landscape evolution: historic and longer-term sediment flux through global catchments","docAbstract":"Sediment generation and transport through terrestrial catchments influence soil distribution, geochemical cycling of particulate and dissolved loads, and the character of the stratigraphic record of Earth history. To assess the spatiotemporal variation in landscape evolution, we compare global compilations of stream gauge–derived () and cosmogenic radionuclide (CRN)–derived (predominantly 10Be; ) denudation of catchments (mm/yr) and sediment load of rivers (Mt/yr). Stream gauges measure suspended sediment loads of rivers during several to tens of years, whereas CRNs provide catchment-integrated denudation rates at 102–105-yr time scales. Stream gauge–derived and CRN-derived sediment loads in close proximity to one another (<500 km) exhibit broad similarity ( stream gauge samples; CRN samples). Nearly two-thirds of CRN-derived sediment loads exceed historic loads measured at the same locations (). Excessive longer-term sediment loads likely are a result of longer-term recurrence of large-magnitude sediment-transport events. Nearly 80% of sediment loads measured at approximately the same locations exhibit stream gauge loads that are within an order of magnitude of CRN loads, likely as a result of the buffering capacity of large flood plains. Catchments in which space for deposition exceeds sediment supply have greater buffering capacity. Superior locations in which to evaluate anthropogenic influences on landscape evolution might be buffered catchments, in which temporary storage of sediment in flood plains can provide stream gauge–based sediment loads and denudation rates that are applicable over longer periods than the durations of gauge measurements. The buffering capacity of catchments also has implications for interpreting the stratigraphic record; delayed sediment transfer might complicate the stratigraphic record of external forcings and catchment modification.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"The Journal of Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The University of Chicago Press","doi":"10.1086/668680","usgsCitation":"Covault, J.A., Craddock, W.H., Romans, B.W., Fildani, A., and Gosai, M., 2013, Spatial and temporal variations in landscape evolution: historic and longer-term sediment flux through global catchments: The Journal of Geology, v. 121, no. 1, p. 35-56, https://doi.org/10.1086/668680.","productDescription":"22 p.","startPage":"35","endPage":"56","numberOfPages":"22","ipdsId":"IP-033166","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":279078,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279077,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1086/668680"}],"volume":"121","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"528607a5e4b00926c21865ba","contributors":{"authors":[{"text":"Covault, Jacob A.","contributorId":35951,"corporation":false,"usgs":true,"family":"Covault","given":"Jacob","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":469607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Craddock, William H. 0000-0002-4181-4735 wcraddock@usgs.gov","orcid":"https://orcid.org/0000-0002-4181-4735","contributorId":3411,"corporation":false,"usgs":true,"family":"Craddock","given":"William","email":"wcraddock@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":469605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Romans, Brian W.","contributorId":40426,"corporation":false,"usgs":true,"family":"Romans","given":"Brian","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":469608,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fildani, Andrea","contributorId":45993,"corporation":false,"usgs":true,"family":"Fildani","given":"Andrea","affiliations":[],"preferred":false,"id":469609,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gosai, Mayur","contributorId":15510,"corporation":false,"usgs":true,"family":"Gosai","given":"Mayur","affiliations":[],"preferred":false,"id":469606,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70004773,"text":"70004773 - 2013 - Limiting the immediate and subsequent hazards associated with wildfires","interactions":[],"lastModifiedDate":"2015-03-20T13:26:05","indexId":"70004773","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Limiting the immediate and subsequent hazards associated with wildfires","docAbstract":"Wildfire is a unique natural hazard because it poses immediate threats to life and property as well as creating conditions that can lead to subsequent debris flows. In recent years, the immediate destructive force of wildfires has been decreased through better understanding of fire behavior. Lightning detection networks now identify the number and locations of this common ignition source. Measurements of wind speed, temperature, slope, fuel types and fire boundaries are routinely incorporated into models for fire spread, permitting real-time adjustments to fire-fighting strategies, thus increasing fire-fighting effectiveness.
\nSimilarly, our capability to limit impacts from post-fire debris flows is improving. Empirical models for estimating the probability of debris-flow occurrence, the volume of such an event, and mapping the inundated area, linked with improved definitions of the rainfall conditions that trigger debris flows, can be used to provide critical information for post-fire hazard mitigation and emergency-response planning.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Landslide Science and Practice: Volume 4: Global Environmental Change","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","publisherLocation":"Berlin, Germany","doi":"10.1007/978-3-642-31337-0_26","usgsCitation":"DeGraff, J.V., Cannon, S.H., and Parise, M., 2013, Limiting the immediate and subsequent hazards associated with wildfires, chap. of Landslide Science and Practice: Volume 4: Global Environmental Change, v. 4, p. 199-209, https://doi.org/10.1007/978-3-642-31337-0_26.","productDescription":"11 p.","startPage":"199","endPage":"209","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-030664","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":274265,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","noUsgsAuthors":false,"publicationDate":"2013-02-02","publicationStatus":"PW","scienceBaseUri":"51cbff55e4b052f2a453986f","contributors":{"authors":[{"text":"DeGraff, Jerome V.","contributorId":85709,"corporation":false,"usgs":true,"family":"DeGraff","given":"Jerome","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":351313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cannon, Susan H. cannon@usgs.gov","contributorId":1019,"corporation":false,"usgs":true,"family":"Cannon","given":"Susan","email":"cannon@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":351312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parise, Mario","contributorId":94689,"corporation":false,"usgs":true,"family":"Parise","given":"Mario","email":"","affiliations":[],"preferred":false,"id":351314,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70135100,"text":"70135100 - 2013 - Genetic structure of the Common Eider in the western Aleutian Islands prior to fox eradication","interactions":[],"lastModifiedDate":"2018-08-20T18:09:48","indexId":"70135100","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Genetic structure of the Common Eider in the western Aleutian Islands prior to fox eradication","docAbstract":"Since the late 18th century bird populations residing in the Aleutian Archipelago have been greatly reduced by introduced arctic foxes (Alopex lagopus). We analyzed data from microsatellite, nuclear intron, and mitochondrial (mtDNA) loci to examine the spatial genetic structure, demography, and gene flow among four Aleutian Island populations of the Common Eider (Somateria mollissima) much reduced by introduced foxes. In mtDNA, we found high levels of genetic structure within and between island groups (ΦST = 0.643), but we found no population subdivision in microsatellites or nuclear introns. Differences in genetic structure between the mitochondrial and nuclear genomes are consistent with the Common Eider's breeding and winter biology, as females are highly philopatric and males disperse. Nevertheless, significant differences between islands in the mtDNA of males and marginal significance (P =0.07) in the Z-linked locus Smo 1 suggest that males may also have some level of fidelity to island groups. Severe reduction of populations by the fox, coupled with females' high philopatry, may have left the genetic signature of a bottleneck effect, resulting in the high levels of genetic differentiation observed in mtDNA (ΦST = 0.460–0.807) between islands only 440 km apart. Reestablishment of the Common Eider following the fox's eradication was likely through recruitment from within the islands and bolstered by dispersal from neighboring islands, as suggested by the lack of genetic structure and asymmetry in gene flow between Attu and the other Near Islands.
","language":"English","publisher":"Cooper Ornithological Society","doi":"10.1525/cond.2012.110054","usgsCitation":"Sonsthagen, S.A., Talbot, S.L., Wilson, R.E., Petersen, M.R., Williams, J., Byrd, G.V., and McCracken, K.G., 2013, Genetic structure of the Common Eider in the western Aleutian Islands prior to fox eradication: The Condor, v. 115, no. 1, p. 28-39, https://doi.org/10.1525/cond.2012.110054.","productDescription":"12 p.","startPage":"28","endPage":"39","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-029200","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":474019,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/cond.2012.110054","text":"Publisher Index Page"},{"id":296594,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia, United States","otherGeospatial":"Aleutian Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -185.5810546875,\n 52.74959372674114\n ],\n [\n -159.4775390625,\n 57.302789656350086\n ],\n [\n -157.58789062499997,\n 55.801280971180454\n ],\n [\n -178.5498046875,\n 49.92293545449574\n ],\n [\n -185.5810546875,\n 52.74959372674114\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"115","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54897cb9e4b027aeab781296","contributors":{"authors":[{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":526828,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":526946,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Robert E. 0000-0003-1800-0183 rewilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1800-0183","contributorId":5718,"corporation":false,"usgs":true,"family":"Wilson","given":"Robert","email":"rewilson@usgs.gov","middleInitial":"E.","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":526947,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Petersen, Margaret R. 0000-0001-6082-3189 mrpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-6082-3189","contributorId":167729,"corporation":false,"usgs":true,"family":"Petersen","given":"Margaret","email":"mrpetersen@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":526948,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williams, Jeffrey C.","contributorId":41333,"corporation":false,"usgs":false,"family":"Williams","given":"Jeffrey C.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":526949,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Byrd, G. Vernon","contributorId":88416,"corporation":false,"usgs":false,"family":"Byrd","given":"G.","email":"","middleInitial":"Vernon","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":526950,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McCracken, Kevin G.","contributorId":72309,"corporation":false,"usgs":false,"family":"McCracken","given":"Kevin","email":"","middleInitial":"G.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":526951,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70134558,"text":"70134558 - 2013 - Migration patterns of Western High Arctic (Grey-belly) Brant Branta bernicla","interactions":[],"lastModifiedDate":"2018-03-30T09:25:43","indexId":"70134558","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3764,"text":"Wildfowl","onlineIssn":"2052-6458","printIssn":"0954-6324","active":true,"publicationSubtype":{"id":10}},"title":"Migration patterns of Western High Arctic (Grey-belly) Brant Branta bernicla","docAbstract":"This study describes the seasonal migration patterns of Western High Arctic Brant (WHA, or Grey-belly Brent Geese), Branta bernicla, an admixed population that breeds in the Canadian High Arctic and winters along the Pacific coast of North America. Adult WHA Brant were captured in family groups on Melville Island (75°23’N, 110°50’W) in 2002 and 2005 and marked with satellite platform transmitting terminal (PTT) transmitters or very high frequency (VHF) transmitters. During autumn migration, all PTT-tagged Brant followed a coastal route around Alaska and staged for variable lengths of time at the following sites on the north and west coasts of Alaska: Kasegaluk Lagoon (69°56’N, 162°40’W), Ikpek Lagoon (65°55’N, 167°03’W), and Izembek Lagoon (55°19’N, 162°50’W). Izembek Lagoon was the most important staging area in terms of length of stay (two months on average) and the majority (67–93%) of PTT and VHF detections occurred in Moffet Bay (55°24’N, 162°34’W). After departing Izembek Lagoon, the PTT-tagged geese followed a c. 2,900 km trans-oceanic route to overwinter in the southern part of the Salish Sea (i.e. from north Puget Sound, Washington to south Strait of Georgia, British Columbia; centred at c. 48°45’N, 122°40’W). Most (c. 45%) PTT detections in the southern Salish Sea occurred in Samish Bay (48°36’N, 122°30’W) followed by Padilla Bay (48°30’N, 122°31’W; c. 26%). Brant migrated north from the Salish Sea along the coast to southeast Alaska and then followed either an interior route across the Yukon or a coastal route around Alaska. The “interior” birds staged for c. four days at Liverpool Bay (69°20’N, 133°55’W) in the Northwest Territories before flying on to Melville Island. They also departed the Salish Sea two weeks later than the coastal migrants and arrived at Melville Island two weeks earlier. This study and previous research suggest that WHA Brant use similar migration routes each year and are faithful to their breeding, staging, and wintering grounds. Because WHA Brant constitute one of the smallest breeding stocks in the world (8,000–11,000 individuals), concentrate in only a few areas, and are likely highly site-faithful, they are susceptible to a range of threats such as excessive harvesting, habitat loss and/or degradation, and petroleum spills.
","language":"English","publisher":"Wildfowl and Wetlands Trust","usgsCitation":"Boyd, W.S., Ward, D.H., Kraege, D.K., and Gerick, A.A., 2013, Migration patterns of Western High Arctic (Grey-belly) Brant Branta bernicla: Wildfowl, v. 3, p. 3-25.","productDescription":"23 p.","startPage":"3","endPage":"25","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050931","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":296414,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":296413,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://wildfowl.wwt.org.uk/index.php/wildfowl/article/view/2508"}],"country":"Canada, United States","volume":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54803429e4b0ac64d148dcee","contributors":{"authors":[{"text":"Boyd, W. Sean","contributorId":11048,"corporation":false,"usgs":true,"family":"Boyd","given":"W.","email":"","middleInitial":"Sean","affiliations":[],"preferred":false,"id":526266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ward, David H. 0000-0002-5242-2526 dward@usgs.gov","orcid":"https://orcid.org/0000-0002-5242-2526","contributorId":3247,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dward@usgs.gov","middleInitial":"H.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":526170,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kraege, Donald K.","contributorId":19738,"corporation":false,"usgs":false,"family":"Kraege","given":"Donald","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":526267,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gerick, Alyssa A.","contributorId":127674,"corporation":false,"usgs":false,"family":"Gerick","given":"Alyssa","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":526268,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70195369,"text":"70195369 - 2013 - An evaluation of automated GIS tools for delineating karst sinkholes and closed depressions from 1-meter LIDAR-derived digital elevation data","interactions":[],"lastModifiedDate":"2018-02-12T12:41:08","indexId":"70195369","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"An evaluation of automated GIS tools for delineating karst sinkholes and closed depressions from 1-meter LIDAR-derived digital elevation data","docAbstract":"LiDAR (Light Detection and Ranging) surveys of karst terrains provide high-resolution digital elevation models (DEMs) that are particularly useful for mapping sinkholes. In this study, we used automated processing tools within ArcGIS (v. 10.0) operating on a 1.0 m resolution LiDAR DEM in order to delineate sinkholes and closed depressions in the Boyce 7.5 minute quadrangle located in the northern Shenandoah Valley of Virginia. The results derived from the use of the automated tools were then compared with depressions manually delineated by a geologist. Manual delineation of closed depressions was conducted using a combination of 1.0 m DEM hillshade, slopeshade, aerial imagery, and Topographic Position Index (TPI) rasters. The most effective means of visualizing depressions in the GIS was using an overlay of the partially transparent TPI raster atop the slopeshade raster at 1.0 m resolution. Manually identified depressions were subsequently checked using aerial imagery to screen for false positives, and targeted ground-truthing was undertaken in the field. The automated tools that were utilized include the routines in ArcHydro Tools (v. 2.0) for prescreening, evaluating, and selecting sinks and depressions as well as thresholding, grouping, and assessing depressions from the TPI raster. Results showed that the automated delineation of sinks and depressions within the ArcHydro tools was highly dependent upon pre-conditioning of the DEM to produce \"hydrologically correct\" surface flow routes. Using stream vectors obtained from the National Hydrologic Dataset alone to condition the flow routing was not sufficient to produce a suitable drainage network, and numerous artificial depressions were generated where roads, railways, or other manmade structures acted as flow barriers in the elevation model. Additional conditioning of the DEM with drainage paths across these barriers was required prior to automated 2delineation of sinks and depressions. In regions where the DEM had been properly conditioned, the tools for automated delineation performed reasonably well as compared to the manually delineated depressions, but generally overestimated the number of depressions thus necessitating manual filtering of the final results. Results from the TPI thresholding analysis were not dependent on DEM pre-conditioning, but the ability to extract meaningful depressions depended on careful assessment of analysis scale and TPI thresholding.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Sinkholes and the Engineering and Environmental Impacts of Karst: Proceedings of the Thirteenth Multidisciplinary Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"National Cave and Karst Research Insititute","doi":"10.5038/9780979542275.1156","usgsCitation":"Doctor, D.H., and Young, J.A., 2013, An evaluation of automated GIS tools for delineating karst sinkholes and closed depressions from 1-meter LIDAR-derived digital elevation data, in Sinkholes and the Engineering and Environmental Impacts of Karst: Proceedings of the Thirteenth Multidisciplinary Conference, p. 449-458, https://doi.org/10.5038/9780979542275.1156.","productDescription":"9 p.","startPage":"449","endPage":"458","ipdsId":"IP-044120","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":488751,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.usf.edu/sinkhole_2013/Proceedings/Mapping_Management/8","text":"External Repository"},{"id":351475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afef06de4b0da30c1bfc7e6","contributors":{"authors":[{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","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":728192,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, John A. 0000-0002-4500-3673 jyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-3673","contributorId":3777,"corporation":false,"usgs":true,"family":"Young","given":"John","email":"jyoung@usgs.gov","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":728193,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70135130,"text":"70135130 - 2013 - Phylogeography, post-glacial gene flow, and population history of North American goshawks (Accipeter gentilis)","interactions":[],"lastModifiedDate":"2026-02-03T16:52:04.783422","indexId":"70135130","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Phylogeography, post-glacial gene flow, and population history of North American goshawks (Accipeter gentilis)","docAbstract":"Climate cycling during the Quaternary played a critical role in the diversification of avian lineages in North America, greatly influencing the genetic characteristics of contemporary populations. To test the hypothesis that North American Northern Goshawks (Accipitergentilis) were historically isolated within multiple Late Pleistocene refugia, we assessed diversity and population genetic structure as well as migration rates and signatures of historical demography using mitochondrial control-region data. On the basis of sampling from 24 locales, we found that Northern Goshawks were genetically structured across a large portion of their North American range. Long-term population stability, combined with strong genetic differentiation, suggests that Northern Goshawks were historically isolated within at least three refugial populations representing two regions: the Pacific (CascadesSierra-Vancouver Island) and the Southwest (Colorado Plateau and Jemez Mountains). By contrast, populations experiencing significant growth were located in the Southeast Alaska-British Columbia, Arizona Sky Islands, Rocky Mountains, Great Lakes, and Appalachian bioregions. In the case of Southeast Alaska-British Columbia, Arizona Sky Islands, and Rocky Mountains, Northern Goshawks likely colonized these regions from surrounding refugia. The near fixation for several endemic haplotypes in the Arizona Sky Island Northern Goshawks (A. g apache) suggests long-term isolation subsequent to colonization. Likewise, Great Lakes and Appalachian Northern Goshawks differed significantly in haplotype frequencies from most Western Northern Goshawks, which suggests that they, too, experienced long-term isolation prior to a more recent recolonization of eastern U.S. forests.
","language":"English","publisher":"American Ornithological Society","doi":"10.1525/auk.2013.12120","usgsCitation":"Bayard De Volo, S., Reynolds, R.T., Sonsthagen, S.A., Talbot, S.L., and Antolin, M.F., 2013, Phylogeography, post-glacial gene flow, and population history of North American goshawks (Accipeter gentilis): The Auk, v. 130, no. 2, p. 342-354, https://doi.org/10.1525/auk.2013.12120.","productDescription":"13 p.","startPage":"342","endPage":"354","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044035","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":296573,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":474041,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/auk.2013.12120","text":"Publisher Index Page"}],"country":"United States","volume":"130","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54897cbfe4b027aeab78129d","contributors":{"authors":[{"text":"Bayard De Volo, Shelley","contributorId":127814,"corporation":false,"usgs":false,"family":"Bayard De Volo","given":"Shelley","email":"","affiliations":[{"id":6998,"text":"Department of Biology, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":526915,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reynolds, Richard T. 0000-0002-5193-786X","orcid":"https://orcid.org/0000-0002-5193-786X","contributorId":105393,"corporation":false,"usgs":false,"family":"Reynolds","given":"Richard","middleInitial":"T.","affiliations":[{"id":6679,"text":"US Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":526916,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":526861,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":526862,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Antolin, Michael F.","contributorId":85469,"corporation":false,"usgs":false,"family":"Antolin","given":"Michael","email":"","middleInitial":"F.","affiliations":[{"id":6998,"text":"Department of Biology, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":526917,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70128318,"text":"70128318 - 2013 - Landsat Data Continuity Mission, now Landsat-8: six months on-orbit","interactions":[],"lastModifiedDate":"2017-04-21T16:07:17","indexId":"70128318","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Landsat Data Continuity Mission, now Landsat-8: six months on-orbit","docAbstract":"The Landsat Data Continuity Mission (LDCM) with two pushbroom Earth-imaging sensors, the Operational Land Imager (OLI) and the Thermal InfraRed Sensor (TIRS), was launched on February 11, 2013. Its on-orbit check out period or commissioning phase lasted about 90 days. During this phase the spacecraft and its instruments were activated, operationally tested and their performance verified. In addition, during this period, the spacecraft was temporarily placed in an intermediary orbit where it drifted relative to the Landsat-7 spacecraft, providing near simultaneous imaging for about 3 days, allowing data comparison and cross calibration. After this tandem-imaging period, LDCM was raised to its final altitude and placed in the position formerly occupied by Landsat-5, i.e., 8 days out of phase with Landsat-7, with about a 10:10 AM equatorial crossing time. At the end of commissioning, the satellite was transferred to the United States Geological Survey (USGS), officially renamed Landsat-8 and declared operational. Data were made available to the public beginning May 31, 2013. The performance of the satellite and two instruments has generally been excellent as evidenced in the quality of the distributed data products. © (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"SPIE 8866, Earth Observing Systems","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Earth Observing Systems XVIII","conferenceDate":"August 25, 2013","conferenceLocation":"San Diego, CA","language":"English","publisher":"SPIE","doi":"10.1117/12.2025290","usgsCitation":"Markham, B.L., Storey, J.C., and Irons, J.R., 2013, Landsat Data Continuity Mission, now Landsat-8: six months on-orbit, in SPIE 8866, Earth Observing Systems, v. 88661B, San Diego, CA, August 25, 2013, https://doi.org/10.1117/12.2025290.","ipdsId":"IP-050323","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":340100,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"88661B","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58fb1a50e4b0c3010a8087dd","contributors":{"authors":[{"text":"Markham, Brian L.","contributorId":90482,"corporation":false,"usgs":false,"family":"Markham","given":"Brian","email":"","middleInitial":"L.","affiliations":[{"id":12721,"text":"NASA GSFC SSAI","active":true,"usgs":false}],"preferred":false,"id":519713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storey, James C. 0000-0002-6664-7232 storey@usgs.gov","orcid":"https://orcid.org/0000-0002-6664-7232","contributorId":5333,"corporation":false,"usgs":true,"family":"Storey","given":"James","email":"storey@usgs.gov","middleInitial":"C.","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":519711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Irons, James R.","contributorId":59284,"corporation":false,"usgs":false,"family":"Irons","given":"James","email":"","middleInitial":"R.","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":519712,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"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":70178599,"text":"70178599 - 2013 - Riparian restoration in the context of Tamarix control in the western United States: Chapter 23","interactions":[],"lastModifiedDate":"2016-11-30T14:28:53","indexId":"70178599","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Riparian restoration in the context of Tamarix control in the western United States: Chapter 23","docAbstract":"This chapter focuses on the restoration of riparian systems in the context of Tamarix control—that is, Tamarix-dominated sites are converted to a replacement vegetation type that achieves specific management goals and helps return parts of the system to a desired and more natural state or dynamic. It reviews research related to restoring native riparian vegetation following tamarix control or removal. The chapter begins with an overview of objective setting and the planning of tamarix control and proceeds by emphasizing the importance of considering site-specific factors and of context in selecting and prioritizing sites for restoration. In particular, it considers valley and bottomland geomorphology, along with river flow regime and associated fluvial disturbance, surface water and groundwater availability, and soil salinity and texture. The chapter concludes with a discussion of costs and benefits associated with active, passive, and combined ecological restoration approaches, as well as the key issues to consider in carrying out restoration projects at a range of scales.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/acprof:osobl/9780199898206.003.0023","usgsCitation":"Shafroth, P.B., Merritt, D.M., Briggs, M.K., Beauchamp, V., Lair, K.D., Scott, M.L., and Sher, A., 2013, Riparian restoration in the context of Tamarix control in the western United States: Chapter 23, p. 404-425, https://doi.org/10.1093/acprof:osobl/9780199898206.003.0023.","productDescription":"22 p.","startPage":"404","endPage":"425","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":331329,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"583ff351e4b04fc80e43726c","contributors":{"editors":[{"text":"Sher, Anna","contributorId":112677,"corporation":false,"usgs":true,"family":"Sher","given":"Anna","affiliations":[],"preferred":false,"id":654516,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Quigley, Martin F.","contributorId":112538,"corporation":false,"usgs":true,"family":"Quigley","given":"Martin","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":654517,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Shafroth, Patrick B. 0000-0002-6064-871X shafrothp@usgs.gov","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":2000,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick","email":"shafrothp@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":654509,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Merritt, David M.","contributorId":95976,"corporation":false,"usgs":true,"family":"Merritt","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":654510,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Mark K.","contributorId":177076,"corporation":false,"usgs":false,"family":"Briggs","given":"Mark","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":654511,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beauchamp, Vanessa B.","contributorId":76544,"corporation":false,"usgs":true,"family":"Beauchamp","given":"Vanessa B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":654512,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lair, Kenneth D.","contributorId":177077,"corporation":false,"usgs":false,"family":"Lair","given":"Kenneth","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":654513,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scott, Michael L. scottm@usgs.gov","contributorId":1169,"corporation":false,"usgs":true,"family":"Scott","given":"Michael","email":"scottm@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":654514,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sher, Anna","contributorId":112677,"corporation":false,"usgs":true,"family":"Sher","given":"Anna","affiliations":[],"preferred":false,"id":654515,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70176402,"text":"70176402 - 2013 - Gas hydrate formation rates from dissolved-phase methane in porous laboratory specimens","interactions":[],"lastModifiedDate":"2016-09-13T09:25:42","indexId":"70176402","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":"Gas hydrate formation rates from dissolved-phase methane in porous laboratory specimens","docAbstract":"Marine sands highly saturated with gas hydrates are potential energy resources, likely forming from methane dissolved in pore water. Laboratory fabrication of gas hydrate-bearing sands formed from dissolved-phase methane usually requires 1–2 months to attain the high hydrate saturations characteristic of naturally occurring energy resource targets. A series of gas hydrate formation tests, in which methane-supersaturated water circulates through 100, 240, and 200,000 cm3 vessels containing glass beads or unconsolidated sand, show that the rate-limiting step is dissolving gaseous-phase methane into the circulating water to form methane-supersaturated fluid. This implies that laboratory and natural hydrate formation rates are primarily limited by methane availability. Developing effective techniques for dissolving gaseous methane into water will increase formation rates above our observed (1 ± 0.5) × 10−7 mol of methane consumed for hydrate formation per minute per cubic centimeter of pore space, which corresponds to a hydrate saturation increase of 2 ± 1% per day, regardless of specimen size.
","language":"English","publisher":"AGU Publications","doi":"10.1002/grl.50809","usgsCitation":"Waite, W., and Spangenberg, E., 2013, Gas hydrate formation rates from dissolved-phase methane in porous laboratory specimens: Geophysical Research Letters, v. 40, no. 16, p. 4310-4315, https://doi.org/10.1002/grl.50809.","productDescription":"6 p.","startPage":"4310","endPage":"4315","ipdsId":"IP-050964","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":474038,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/grl.50809","text":"Publisher Index Page"},{"id":328585,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"16","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2013-08-19","publicationStatus":"PW","scienceBaseUri":"57d92339e4b090824ffa1a84","contributors":{"authors":[{"text":"Waite, William F. 0000-0002-9436-4109 wwaite@usgs.gov","orcid":"https://orcid.org/0000-0002-9436-4109","contributorId":625,"corporation":false,"usgs":true,"family":"Waite","given":"William F.","email":"wwaite@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648609,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spangenberg, E.K.","contributorId":71513,"corporation":false,"usgs":true,"family":"Spangenberg","given":"E.K.","email":"","affiliations":[],"preferred":false,"id":648610,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}