{"pageNumber":"670","pageRowStart":"16725","pageSize":"25","recordCount":40803,"records":[{"id":70118545,"text":"70118545 - 2013 - The interplay of evolved seawater and magmatic-hydrothermal fluids in the 3.24 Ga panorama volcanic-hosted massive sulfide hydrothermal system, North Pilbara Craton, Western Australia","interactions":[],"lastModifiedDate":"2014-07-29T10:58:53","indexId":"70118545","displayToPublicDate":"2013-01-01T10:55:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"The interplay of evolved seawater and magmatic-hydrothermal fluids in the 3.24 Ga panorama volcanic-hosted massive sulfide hydrothermal system, North Pilbara Craton, Western Australia","docAbstract":"<p>The ~3240 Ma Panorama volcanic-hosted massive sulfide (VHMS) district is unusual for its high degree of exposure and low degree of postdepositional modification. In addition to typical seafloor VHMS deposits, this district contains greisen- and vein-hosted Mo-Cu-Zn-Sn mineral occurrences that are contemporaneous with VHMS orebodies and are hosted by the Strelley granite complex, which also drove VHMS circulation. Hence the Panorama district is a natural laboratory to investigate the role of magmatic-hydrothermal fluids in VHMS hydrothermal systems.</p>\n<br/>\n<p>Regional and proximal high-temperature alteration zones in volcanic rocks underlying the VHMS deposits are dominated by chlorite-quartz ± albite assemblages, with lesser low-temperature sericite-quartz ± K-feldspar assemblages. These assemblages are typical of VHMS hydrothermal systems. In contrast, the alteration assemblages associated with granite-hosted greisens and veins include quartz-topaz-muscovite-fluorite and quartz-muscovite (sericite)-chlorite-ankerite. These vein systems generally do not extend into the overlying volcanic pile.</p>\n<br/>\n<p>Fluid inclusion and stable isotope studies suggest that the greisens were produced by high-temperature (~590°C), high-salinity (38–56 wt % NaCl equiv) fluids with high densities (>1.3 g/cm<sup>3</sup>) and high δ<sup>18</sup>O (9.3 ± 0.6‰). These fluids are compatible with the measured characteristics of magmatic fluids evolved from the Strelley granite complex. In contrast, fluids in the volcanic pile (including the VHMS ore-forming fluids) were of lower temperature (90°–270°C), lower salinity (5.0–11.2 wt % NaCl equiv), with lower densities (0.88–1.01 g/cm<sup>3</sup>) and lower δ<sup>18</sup>O (−0.8 ± 2.6‰). These fluids are compatible with evolved Paleoarchean seawater. Fluids that formed the quartz-chalcopyrite-sphalerite-cassiterite veins, which are present within the granite complex near the contact with the volcanic pile, were intermediate in temperature and isotopic composition between the greisen and volcanic pile fluids (T = 240°–315°C; δ<sup>18</sup>O = 4.3 ± 1.5‰) and are interpreted to indicate mixing between the two end-member fluids.</p>\n<br/>\n<p>Evidence of mixing between evolved seawater and magmatic-hydrothermal fluid within the granite complex, together with the lack of evidence for a magmatic component in fluids from the volcanic pile, suggest partitioning of magmatic-hydrothermal from evolved seawater hydrothermal systems in the Panorama VHMS system. This separation is interpreted to result from either the swamping of a relatively small magmatic-hydro-thermal system by evolved seawater or density contrasts precluding movement of magmatic-hydrothermal fluids into the volcanic pile.</p>\n<br/>\n<p>Variability in the salinity of fluids in the volcanic pile, combined with evidence for mixing of low- and high-salinity fluids in the massive sulfide lens, is interpreted to indicate that phase separation occurred within the Panorama hydrothermal system. Although we consider this phase separation to have most likely occurred at depth within the system, as has been documented in modern VHMS systems, the data do not allow the location of the inferred phase separation to be determined.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Economic Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society of Economic Geologists","publisherLocation":"Lancaster, PA","doi":"10.2113/econgeo.108.1.79","usgsCitation":"Drieberg, S.L., Hagemann, S.G., Huston, D.L., Landis, G., Ryan, C.G., Van Achterbergh, E., and Vennemann, T., 2013, The interplay of evolved seawater and magmatic-hydrothermal fluids in the 3.24 Ga panorama volcanic-hosted massive sulfide hydrothermal system, North Pilbara Craton, Western Australia: Economic Geology, v. 108, no. 1, p. 79-110, https://doi.org/10.2113/econgeo.108.1.79.","productDescription":"32 p.","startPage":"79","endPage":"110","numberOfPages":"32","costCenters":[],"links":[{"id":291276,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291274,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2113/econgeo.108.1.79"}],"country":"Australia","city":"Pilbara","otherGeospatial":"North Pilbara Craton","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 114.3986,-23.4846 ], [ 114.3986,-19.8759 ], [ 122.1992,-19.8759 ], [ 122.1992,-23.4846 ], [ 114.3986,-23.4846 ] ] ] } } ] }","volume":"108","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f37ee4b0bc0bec0a09e3","contributors":{"authors":[{"text":"Drieberg, Susan L.","contributorId":43689,"corporation":false,"usgs":true,"family":"Drieberg","given":"Susan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":496972,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hagemann, Steffen G.","contributorId":51225,"corporation":false,"usgs":true,"family":"Hagemann","given":"Steffen","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":496973,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huston, David L.","contributorId":67139,"corporation":false,"usgs":true,"family":"Huston","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":496975,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Landis, Gary","contributorId":94232,"corporation":false,"usgs":true,"family":"Landis","given":"Gary","affiliations":[],"preferred":false,"id":496976,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ryan, Chris G.","contributorId":21080,"corporation":false,"usgs":true,"family":"Ryan","given":"Chris","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":496971,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Van Achterbergh, Esme","contributorId":11134,"corporation":false,"usgs":true,"family":"Van Achterbergh","given":"Esme","email":"","affiliations":[],"preferred":false,"id":496970,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vennemann, Torsten","contributorId":53311,"corporation":false,"usgs":true,"family":"Vennemann","given":"Torsten","affiliations":[],"preferred":false,"id":496974,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70103364,"text":"70103364 - 2013 - Tectonic evolution and Cretaceous gold metallogenesis of southwestern Alaska","interactions":[],"lastModifiedDate":"2020-12-29T12:38:33.016222","indexId":"70103364","displayToPublicDate":"2013-01-01T10:55:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3408,"text":"Society of Economic Geologists Special Publication","active":true,"publicationSubtype":{"id":10}},"title":"Tectonic evolution and Cretaceous gold metallogenesis of southwestern Alaska","docAbstract":"<p>Cretaceous gold metallogenesis in southwestern Alaska comprises three distinct episodes related to the accretionary evolution of northwestern North America. The oldest mineralizing event is characterized by 112 Ma Cu-Au-Bi-Te porphyry-type(?) veining in the zoned Bonanza and adjacent plutons that intruded rocks of the Nyac terrane. Tectonic reconstructions and limited geological and geochemical data suggest that Cu-Au mineralization in the Nyac district may be related to terminal subduction during accretion of the Togiak-Koyukuk arc. The subsequent 100 to 89 Ma metallogenic event is a product of subduction-related magmatism immediately following accretion of the Peninsular-Alexander-Wrangellia superterrane and includes formation of the giant Pebble porphyry Cu-Au-Mo deposit. Pebble underwent a complex history of highly oxidized magmatism that is isotopically linked to enriched lithosphere or metasomatized mantle sources. Pebble and other porphyryrelated plutons were emplaced as a consequence of changes in plate motion and onset of dextral transpression along the continental margin to the southeast of their present-day locations.</p><p>The final 75 to 65 Ma metallogenic event is regionally the most extensive. It followed a ~15-m.y.-long magmatic lull and is related to enigmatic subduction-related magmatism in the western part of the Alaska Range and the Kuskokwim basin. This event resulted in the formation of porphyry, reduced pluton-related, orogenic, and possible epithermal Au deposits. In the better-studied relatively low-relief areas of the Kuskokwim basin, many of the mineralized systems are spatially associated with ilmenite-series monzonite to quartz monzonite composite plutons that have isotopic signatures consistent with derivation from crustally contaminated mantle sources. These pluton-hosted Au deposits comprise low-sulfide stockworks, sheeted veins, and/or breccias in the cupolas of moderately differentiated intrusions that contain high Au; anomalous As, Bi, Sb, and/or Te; and have variable, but not uneconomic, Cu concentrations. In addition, Au, Sb, and/or Hg deposits hosted by competent NE-trending granite porphyry dike-sill complexes or along faults in flysch are widespread in the Kuskokwim basin. These deposits, including the giant Donlin Creek Au deposit, formed at shallow crustal levels and are classified here as epizonal orogenic Au deposits and related Hg and Sb lodes. Mesozonal orogenic Au deposits were formed along the margins of the uplifting Willow Creek pluton that is now exposed along the southern side of the Talkeetna Mountains batholith. Recent discoveries in the rugged Alaska Range comprise less well-studied porphyry Au-Cu (Whistler, Island Mountain), epithermal(?) Au (Terra), and reduced pluton-hosted Au deposits (Estelle).</p><p>The cause of the broad latest Cretaceous magmatism associated with the final metallogenic event is enigmatic, but indicates widespread high heat flow possibly related to flat-slab subduction, lithospheric mantle delamination, or escape tectonics. Plutonism postdated regional folding and coincided with periods of movement along regional faults and formation of the NE-trending structural fabric. Magmatism resulted from initiation of transpressional faulting in more landward positions during oblique subduction of the Kula plate. Crustal contamination of mantle melts, either near their source or during ascent through the thick flysch of the Kuskokwim basin, produced low oxidation state magmas and controlled much of the metallogeny, particularly for those deposits that display similarities to both reduced porphyry Au-Cu deposits and, to a lesser degree, reduced intrusion-related Au systems. High heat flow also induced crustal melting and metamorphic devolatilization to form orogenic Au deposits. A transition to extension at ~60 Ma recorded elsewhere in Alaska temporally corresponds to termination of gold deposit formation in southwestern Alaska. The multiple periods of gold metallogenesis in southwestern Alaska offer a wide variety of targets for exploration within discrete parts of the region.</p>","language":"English","publisher":"Society of Economic Geologists","doi":"10.5382/SP.17.05","usgsCitation":"Graham, G.E., Goldfarb, R.J., Miller, M.L., Gibler, K., and Roberts, M., 2013, Tectonic evolution and Cretaceous gold metallogenesis of southwestern Alaska: Society of Economic Geologists Special Publication, v. 17, p. 169-200, https://doi.org/10.5382/SP.17.05.","productDescription":"32 p.","startPage":"169","endPage":"200","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-048968","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":381713,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5368b301e4b059f7e8288392","contributors":{"authors":[{"text":"Graham, Garth E. 0000-0003-0657-0365 ggraham@usgs.gov","orcid":"https://orcid.org/0000-0003-0657-0365","contributorId":1031,"corporation":false,"usgs":true,"family":"Graham","given":"Garth","email":"ggraham@usgs.gov","middleInitial":"E.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":493261,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goldfarb, Richard J. goldfarb@usgs.gov","contributorId":1205,"corporation":false,"usgs":true,"family":"Goldfarb","given":"Richard","email":"goldfarb@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":493262,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Marti L. 0000-0003-0285-4942 mlmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-0285-4942","contributorId":561,"corporation":false,"usgs":true,"family":"Miller","given":"Marti","email":"mlmiller@usgs.gov","middleInitial":"L.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":577032,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gibler, Kati","contributorId":52488,"corporation":false,"usgs":true,"family":"Gibler","given":"Kati","email":"","affiliations":[],"preferred":false,"id":493263,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roberts, Mike","contributorId":149136,"corporation":false,"usgs":false,"family":"Roberts","given":"Mike","email":"","affiliations":[],"preferred":false,"id":493264,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70048592,"text":"70048592 - 2013 - Pacific island landbird monitoring annual report, National Park of American Samoa, Ta‘u and Tutuila units, 2011","interactions":[],"lastModifiedDate":"2016-08-08T08:55:33","indexId":"70048592","displayToPublicDate":"2013-01-01T10:51:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":272,"text":"National Park Service Natural Resource Technical Report","active":false,"publicationSubtype":{"id":4}},"seriesNumber":"NPS/PACN/NRTR—2013/666","title":"Pacific island landbird monitoring annual report, National Park of American Samoa, Ta‘u and Tutuila units, 2011","docAbstract":"<p>The National Park of American Samoa (NPSA) was surveyed for landbirds and habitat characteristics from June through August, 2011. This information provides the first data in the time-series of landbird monitoring for long-term trends in forest bird distribution, density, and abundance within the NPSA. The NPSA survey area was comprised of the terrestrial portions of the Ta&lsquo;u and Tutuila Units. Each Unit was surveyed using point-transect distance sampling to estimate bird abundance. Sampling was conducted using a split-panel design where legacy transects are visited during each sampling occasion and newly, randomly located transects are visited only during one sampling occasion. This design optimizes trend detection while allowing for measuring and correcting for estimator bias.</p>\n<p>A total of 2,516 birds was detected from 13 species in both Units. All species were either endemic or indigenous to the islands of American Samoa. Numbers of detections ranged from 7 to 1,111. Nearly every species detected was broadly distributed in the predominantly native forests of NPSA. Sufficient detections were made of seven species, allowing for density estimation. Densities of species were higher in the Tutuila Unit; with the exception of the Wattled Honeyeater (<i>Foulehaio carunculata</i>), which was the most abundant species in both Units. The species occurred at nearly every station sampled and had densities much higher than the Samoan Starling (<i>Aplonis atrifusca</i>), Polynesian Starling (<i>Aplonis tabuensis</i>), and Collared Kingfisher (<i>Halcyon chloris</i>) which occurred in modest densities. The remaining species detected occurred at less than 20% of stations sampled and we were only able to determine the number of birds per station and percent occurrence. The White-rumped Swiftlet (<i>Aerodramus spodiopygius</i>) and Cardinal Honeyeater (<i>Myzomela cardinalis</i>) were detected in small numbers, but both species can be difficult to detect in closed canopy forests. The Purple Swamphen (<i>Porphyrio porphyrio</i>) and Banded Rail (<i>Gallirallus philippensis</i>) were most often detected in areas close to villages and agroforestry plantations. The Blue-crowned Lorikeet (<i>Vini australis</i>) and Fiji Shrikebill (<i>Clytorhynchus vitiensis</i>) only occur in the Manu&lsquo;a Island Group. The former was detected in most survey areas and the latter was patchily distributed in the Ta&lsquo;u Unit. The Many-colored Fruit-dove (<i>Ptilinopus perousii</i>), a species of concern, was detected in very small numbers in both Units. The Spotless Crake (<i>Porzana tabuensi</i>), which is extirpated on Tutuila Island, has been incidentally detected in small numbers on Ta&lsquo;u Island. However, the species was neither seen nor heard during this survey and remains a species of concern.</p>\n<p>NPSA canopy and understory composition was predominantly native, and trees formed a dense closed canopy at nearly 90% of the stations sampled. More than half of the tree heights in both units were taller than 5 m and the majority of slopes were steeper than 20 degrees. There were no clear dominant tree species in the mixed native forests. The most common tree species documented included <i>Syzygium</i> spp., <i>Dysoxylum</i> spp., <i>Ficus</i> spp., <i>Hibiscus tiliaceus</i> and <i>Rhus taitensis</i> (among others). There were significant differences in the distribution of bird densities between legacy and random transects. Determining differences in detection probabilities cannot be definitively assessed from a single survey. We recommend both panels be sampled in the future until bias in density and abundance can be evaluated, or if sampling may be reduced.</p>","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Judge, S.W., Camp, R., Vaivai, V., and Hart, P., 2013, Pacific island landbird monitoring annual report, National Park of American Samoa, Ta‘u and Tutuila units, 2011: National Park Service Natural Resource Technical Report NPS/PACN/NRTR—2013/666, xv, 85 p.","productDescription":"xv, 85 p.","startPage":"1","endPage":"85","numberOfPages":"106","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037067","costCenters":[],"links":[{"id":279169,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279168,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/App/Reference/Profile/2192630"}],"country":"United States","otherGeospatial":"American Samoa;National Park Of American Samoa","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -170.8903,-14.42 ], [ -170.8903,-14.1396 ], [ -169.3821,-14.1396 ], [ -169.3821,-14.42 ], [ -170.8903,-14.42 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"528c96b5e4b0c629af44ddd4","contributors":{"authors":[{"text":"Judge, Seth W.","contributorId":8718,"corporation":false,"usgs":true,"family":"Judge","given":"Seth","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":485154,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Camp, Richard J.","contributorId":27392,"corporation":false,"usgs":true,"family":"Camp","given":"Richard J.","affiliations":[],"preferred":false,"id":485155,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vaivai, Visa","contributorId":96992,"corporation":false,"usgs":true,"family":"Vaivai","given":"Visa","email":"","affiliations":[],"preferred":false,"id":485157,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hart, Patrick J.","contributorId":79750,"corporation":false,"usgs":true,"family":"Hart","given":"Patrick J.","affiliations":[],"preferred":false,"id":485156,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70005804,"text":"70005804 - 2013 - The effect of complex fault rupture on the distribution of landslides triggered by the 12 January 2010, Haiti earthquake","interactions":[],"lastModifiedDate":"2014-01-14T10:50:56","indexId":"70005804","displayToPublicDate":"2013-01-01T10:46:37","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"The effect of complex fault rupture on the distribution of landslides triggered by the 12 January 2010, Haiti earthquake","docAbstract":"The M<sub>W</sub> 7.0, 12 January 2010, Haiti earthquake triggered more than 7,000 landslides in the mountainous terrain south of Port-au-Prince over an area that extends approximately 50 km to the east and west from the epicenter and to the southern coast. Most of the triggered landslides were rock and soil slides from 25°–65° slopes within heavily fractured limestone and deeply weathered basalt and basaltic breccia. Landslide volumes ranged from tens of cubic meters to several thousand cubic meters. Rock slides in limestone typically were 2–5 m thick; slides within soils and weathered basalt typically were less than 1 m thick. Twenty to thirty larger landslides having volumes greater than 10,000 m<sup>3</sup> were triggered by the earthquake; these included block slides and rotational slumps in limestone bedrock. Only a few landslides larger than 5,000 m<sup>3</sup> occurred in the weathered basalt. The distribution of landslides is asymmetric with respect to the fault source and epicenter. Relatively few landslides were triggered north of the fault source on the hanging wall. The densest landslide concentrations lie south of the fault source and the Enriquillo-Plantain-Garden fault zone on the footwall. Numerous landslides also occurred along the south coast west of Jacmél. This asymmetric distribution of landsliding with respect to the fault source is unusual given the modeled displacement of the fault source as mainly thrust motion to the south on a plane dipping to the north at approximately 55°; landslide concentrations in other documented thrust earthquakes generally have been greatest on the hanging wall. This apparent inconsistency of the landslide distribution with respect to the fault model remains poorly understood given the lack of any strong-motion instruments within Haiti during the earthquake.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Landslide Science and Practice: Volume 5: Complex Environment","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Springer Berlin Heidelberg","publisherLocation":"Berlin, Heidelberg","doi":"10.1007/978-3-642-31427-8_20","usgsCitation":"Harp, E.L., Jibson, R.W., and Dart, R.L., 2013, The effect of complex fault rupture on the distribution of landslides triggered by the 12 January 2010, Haiti earthquake, chap. <i>of</i> Landslide Science and Practice: Volume 5: Complex Environment, v. 5, p. 157-161, https://doi.org/10.1007/978-3-642-31427-8_20.","productDescription":"5 p.","startPage":"157","endPage":"161","numberOfPages":"5","ipdsId":"IP-032427","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":280974,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280973,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/978-3-642-31427-8_20"}],"country":"Haiti","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.6575,17.9099 ], [ -74.6575,20.2181 ], [ -71.6221,20.2181 ], [ -71.6221,17.9099 ], [ -74.6575,17.9099 ] ] ] } } ] }","volume":"5","noUsgsAuthors":false,"publicationDate":"2013-02-06","publicationStatus":"PW","scienceBaseUri":"53cd77c1e4b0b2908510bb0b","contributors":{"editors":[{"text":"Margottini, Claudio","contributorId":112876,"corporation":false,"usgs":true,"family":"Margottini","given":"Claudio","affiliations":[],"preferred":false,"id":508283,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Canuti, Paolo","contributorId":114064,"corporation":false,"usgs":true,"family":"Canuti","given":"Paolo","email":"","affiliations":[],"preferred":false,"id":508285,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Sassa, Kyoji","contributorId":113023,"corporation":false,"usgs":true,"family":"Sassa","given":"Kyoji","email":"","affiliations":[],"preferred":false,"id":508284,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Harp, Edwin L. harp@usgs.gov","contributorId":1290,"corporation":false,"usgs":true,"family":"Harp","given":"Edwin","email":"harp@usgs.gov","middleInitial":"L.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":353270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jibson, Randall W. 0000-0003-3399-0875 jibson@usgs.gov","orcid":"https://orcid.org/0000-0003-3399-0875","contributorId":2985,"corporation":false,"usgs":true,"family":"Jibson","given":"Randall","email":"jibson@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":353271,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dart, Richard L. dart@usgs.gov","contributorId":1209,"corporation":false,"usgs":true,"family":"Dart","given":"Richard","email":"dart@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":353269,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70125301,"text":"70125301 - 2013 - Loess and its geomorphic, stratigraphic and paleoclimatic significance in the Quaternary","interactions":[],"lastModifiedDate":"2017-06-30T15:12:22","indexId":"70125301","displayToPublicDate":"2013-01-01T10:36:18","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Loess and its geomorphic, stratigraphic and paleoclimatic significance in the Quaternary","docAbstract":"Loess is aeolian silt visible in the field as a sedimentary body. It covers a significant portion of the land surface of the Earth. Loess thickness, particle size, and carbonate content decrease downwind from sources, useful trends for paleowinds. Many loess sections consist of relatively thick deposits of mostly unaltered sediment with intercalated paleosols. Paleosols represent periods of landscape stability when loess deposition slowed significantly. Loess in most regions was deposited during glacial periods and paleosols formed during interglacial periods. Loess has the potential to record the timing and environment of glacial–interglacial cycles of the Quaternary on many continents.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Reference Module in Earth Systems and Environmental Sciences: Treatise on Geomorphology","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Society of Civil Engineers","doi":"10.1016/B978-0-12-374739-6.00302-X","usgsCitation":"Muhs, D.R., 2013, Loess and its geomorphic, stratigraphic and paleoclimatic significance in the Quaternary, chap. <i>of</i> Reference Module in Earth Systems and Environmental Sciences: Treatise on Geomorphology, v. 11, p. 149-183, https://doi.org/10.1016/B978-0-12-374739-6.00302-X.","productDescription":"35 p.","startPage":"149","endPage":"183","numberOfPages":"35","ipdsId":"IP-024558","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":293915,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293914,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/B978-0-12-374739-6.00302-X"}],"volume":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54195145e4b091c7ffc8e75d","contributors":{"authors":[{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":1857,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel","email":"dmuhs@usgs.gov","middleInitial":"R.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":true,"id":501191,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70039019,"text":"70039019 - 2013 - Using habitat suitability models to target invasive plant species surveys","interactions":[],"lastModifiedDate":"2014-01-15T10:37:19","indexId":"70039019","displayToPublicDate":"2013-01-01T10:30:01","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Using habitat suitability models to target invasive plant species surveys","docAbstract":"Managers need new tools for detecting the movement and spread of nonnative, invasive species. Habitat suitability models are a popular tool for mapping the potential distribution of current invaders, but the ability of these models to prioritize monitoring efforts has not been tested in the field. We tested the utility of an iterative sampling design (i.e., models based on field observations used to guide subsequent field data collection to improve the model), hypothesizing that model performance would increase when new data were gathered from targeted sampling using criteria based on the initial model results. We also tested the ability of habitat suitability models to predict the spread of invasive species, hypothesizing that models would accurately predict occurrences in the field, and that the use of targeted sampling would detect more species with less sampling effort than a nontargeted approach. We tested these hypotheses on two species at the state scale (<i>Centaurea stoebe</i> and <i>Pastinaca sativa</i>) in Wisconsin (USA), and one genus at the regional scale (<i>Tamarix</i>) in the western United States. These initial data were merged with environmental data at 30-m<sup>2</sup> resolution for Wisconsin and 1-km<sup>2</sup> resolution for the western United States to produce our first iteration models. We stratified these initial models to target field sampling and compared our models and success at detecting our species of interest to other surveys being conducted during the same field season (i.e., nontargeted sampling). Although more data did not always improve our models based on correct classification rate (CCR), sensitivity, specificity, kappa, or area under the curve (AUC), our models generated from targeted sampling data always performed better than models generated from nontargeted data. For Wisconsin species, the model described actual locations in the field fairly well (kappa = 0.51, 0.19, P < 0.01), and targeted sampling did detect more species than nontargeted sampling with less sampling effort (χ<sup>2</sup>) = 47.42, P < 0.01). From these findings, we conclude that habitat suitability models can be highly useful tools for guiding invasive species monitoring, and we support the use of an iterative sampling design for guiding such efforts.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","publisherLocation":"Tempe, AZ","doi":"10.1890/12-0465.1","usgsCitation":"Crall, A.W., Jarnevich, C.S., Panke, B., Young, N., Renz, M., and Morisette, J., 2013, Using habitat suitability models to target invasive plant species surveys: Ecological Applications, v. 23, no. 1, p. 60-72, https://doi.org/10.1890/12-0465.1.","productDescription":"13 p.","startPage":"60","endPage":"72","numberOfPages":"13","ipdsId":"IP-039050","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":281074,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281073,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/12-0465.1"}],"country":"United States","state":"Wisconsin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.88,25.85 ], [ -124.88,49.04 ], [ -86.76,49.04 ], [ -86.76,25.85 ], [ -124.88,25.85 ] ] ] } } ] }","volume":"23","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7acae4b0b2908510db58","contributors":{"authors":[{"text":"Crall, Alycia W.","contributorId":60123,"corporation":false,"usgs":true,"family":"Crall","given":"Alycia","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":465451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":465448,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Panke, Brendon","contributorId":22244,"corporation":false,"usgs":true,"family":"Panke","given":"Brendon","email":"","affiliations":[],"preferred":false,"id":465449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Young, Nick","contributorId":28489,"corporation":false,"usgs":true,"family":"Young","given":"Nick","email":"","affiliations":[],"preferred":false,"id":465450,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Renz, Mark","contributorId":89440,"corporation":false,"usgs":true,"family":"Renz","given":"Mark","affiliations":[],"preferred":false,"id":465452,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morisette, Jeffrey","contributorId":100739,"corporation":false,"usgs":true,"family":"Morisette","given":"Jeffrey","affiliations":[],"preferred":false,"id":465453,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70129208,"text":"70129208 - 2013 - Geochemical monitoring for potential environmental impacts of geologic sequestration of CO<sub>2</sub>","interactions":[],"lastModifiedDate":"2017-06-30T15:13:30","indexId":"70129208","displayToPublicDate":"2013-01-01T10:26:41","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3281,"text":"Reviews in Mineralogy and Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical monitoring for potential environmental impacts of geologic sequestration of CO<sub>2</sub>","docAbstract":"<p>Carbon dioxide sequestration is now considered an important component of the portfolio of options for reducing greenhouse gas emissions to stabilize their atmospheric levels at values that would limit global temperature increases to the target of 2 °C by the end of the century (Pacala and Socolow 2004; IPCC 2005, 2007; Benson and Cook 2005; Benson and Cole 2008; IEA 2012; Romanak et al. 2013). Increased anthropogenic emissions of CO2 have raised its atmospheric concentrations from about 280 ppmv during pre-industrial times to ~400 ppmv today, and based on several defined scenarios, CO2 concentrations are projected to increase to values as high as 1100 ppmv by 2100 (White et al. 2003; IPCC 2005, 2007; EIA 2012; Global CCS Institute 2012). An atmospheric CO2 concentration of 450 ppmv is generally the accepted level that is needed to limit global temperature increases to the target of 2 °C by the end of the century. This temperature limit likely would moderate the adverse effects related to climate change that could include sea-level rise from the melting of alpine glaciers and continental ice sheets and from the ocean warming; increased frequency and intensity of wildfires, floods, droughts, and tropical storms; and changes in the amount, timing, and distribution of rain, snow, and runoff (IPCC 2007; Sundquist et al. 2009; IEA 2012). Rising atmospheric CO2 concentrations are also increasing the amount of CO2 dissolved in ocean water lowering its pH from 8.1 to 8.0, with potentially disruptive effects on coral reefs, plankton and marine ecosystems (Adams and Caldeira 2008; Schrag 2009; Sundquist et al. 2009). Sedimentary basins in general and deep saline aquifers in particular are being investigated as possible repositories for the large volumes of anthropogenic CO2 that must be sequestered to mitigate global warming and related climate changes (Hitchon 1996; Benson and Cole 2008; Verma and Warwick 2011).</p>","language":"English","publisher":"Mineralogical Society of America","publisherLocation":"Washington, D.C.","doi":"10.2138/rmg.2013.77.11","usgsCitation":"Kharaka, Y.K., Cole, D.R., Thordsen, J., Gans, K.D., and Thomas, R.B., 2013, Geochemical monitoring for potential environmental impacts of geologic sequestration of CO<sub>2</sub>: Reviews in Mineralogy and Geochemistry, v. 77, no. 1, p. 399-430, https://doi.org/10.2138/rmg.2013.77.11.","productDescription":"32 p.","startPage":"399","endPage":"430","numberOfPages":"32","ipdsId":"IP-051042","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":295531,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295478,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2138/rmg.2013.77.11"}],"volume":"77","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-11-07","publicationStatus":"PW","scienceBaseUri":"544775afe4b0f888a81b831a","contributors":{"authors":[{"text":"Kharaka, Yousif K. 0000-0001-9861-8260 ykharaka@usgs.gov","orcid":"https://orcid.org/0000-0001-9861-8260","contributorId":1928,"corporation":false,"usgs":true,"family":"Kharaka","given":"Yousif","email":"ykharaka@usgs.gov","middleInitial":"K.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":503542,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cole, David R.","contributorId":79044,"corporation":false,"usgs":true,"family":"Cole","given":"David","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":503546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thordsen, James J. jthordsn@usgs.gov","contributorId":3329,"corporation":false,"usgs":true,"family":"Thordsen","given":"James J.","email":"jthordsn@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":503543,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gans, Kathleen D. 0000-0002-7545-9655 kgans@usgs.gov","orcid":"https://orcid.org/0000-0002-7545-9655","contributorId":5403,"corporation":false,"usgs":true,"family":"Gans","given":"Kathleen","email":"kgans@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":503545,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thomas, Randal B. burt_thomas@usgs.gov","contributorId":5073,"corporation":false,"usgs":true,"family":"Thomas","given":"Randal","email":"burt_thomas@usgs.gov","middleInitial":"B.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":503544,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70121488,"text":"70121488 - 2013 - Potential effects of sea-level rise on coastal wetlands in southeastern Louisiana","interactions":[],"lastModifiedDate":"2014-08-22T10:22:26","indexId":"70121488","displayToPublicDate":"2013-01-01T10:19:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Potential effects of sea-level rise on coastal wetlands in southeastern Louisiana","docAbstract":"<p>Coastal Louisiana wetlands contain about 37% of the estuarine herbaceous marshes in the conterminous United States. The long-term stability of coastal wetlands is often a function of a wetland's ability to maintain elevation equilibrium with mean sea level through processes such as primary production and sediment accretion. However, Louisiana has sustained more coastal wetland loss than all other states in the continental United States combined due to a combination of natural and anthropogenic factors, including sea-level rise. This study investigates the potential impact of current and accelerating sea-level rise rates on key coastal wetland habitats in southeastern Louisiana using the Sea Level Affecting Marshes Model (SLAMM). Model calibration was conducted using a 1956–2007 observation period and hindcasting results predicted 35% versus observed 39% total marsh loss. Multiple sea-level-rise scenarios were then simulated for the period of 2007–2100. Results indicate a range of potential wetland losses by 2100, from an additional 2,188.97 km<sup>2</sup> (218,897 ha, 9% of the 2007 wetland area) under the lowest sea-level-rise scenario (0.34 m), to a potential loss of 5,875.27 km<sup>2</sup> (587,527 ha, 24% of the 2007 wetland area) in the highest sea-level-rise scenario (1.9 m). Model results suggest that one area of particular concern is the potential vulnerability of the region's baldcypress-water tupelo (<i>Taxodium distichum-Nyssa aquatica</i>) swamp habitat, much of which is projected to become permanently flooded (affecting regeneration) under all modeled scenarios for sea-level rise. These findings will aid in the development of ecosystem management plans that support the processes and conditions that result in sustainable coastal ecosystems.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Coastal Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/SI63-0017.1","usgsCitation":"Glick, P., Clough, J., Polaczyk, A., Couvillion, B.R., and Nunley, B., 2013, Potential effects of sea-level rise on coastal wetlands in southeastern Louisiana: Journal of Coastal Research, p. 211-233, https://doi.org/10.2112/SI63-0017.1.","productDescription":"23 p.","startPage":"211","endPage":"233","numberOfPages":"23","ipdsId":"IP-035358","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":292846,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":292843,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2112/SI63-0017.1"}],"country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.0768,28.9254 ], [ -92.0768,30.4599 ], [ -88.8162,30.4599 ], [ -88.8162,28.9254 ], [ -92.0768,28.9254 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f8597ee4b03f038c5c189c","contributors":{"authors":[{"text":"Glick, Patty","contributorId":47283,"corporation":false,"usgs":true,"family":"Glick","given":"Patty","affiliations":[],"preferred":false,"id":499120,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clough, Jonathan","contributorId":86488,"corporation":false,"usgs":true,"family":"Clough","given":"Jonathan","affiliations":[],"preferred":false,"id":499122,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Polaczyk, Amy","contributorId":51214,"corporation":false,"usgs":true,"family":"Polaczyk","given":"Amy","email":"","affiliations":[],"preferred":false,"id":499121,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Couvillion, Brady R. 0000-0001-5323-1687 couvillionb@usgs.gov","orcid":"https://orcid.org/0000-0001-5323-1687","contributorId":3829,"corporation":false,"usgs":true,"family":"Couvillion","given":"Brady","email":"couvillionb@usgs.gov","middleInitial":"R.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":499119,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nunley, Brad","contributorId":96197,"corporation":false,"usgs":true,"family":"Nunley","given":"Brad","email":"","affiliations":[],"preferred":false,"id":499123,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70048595,"text":"70048595 - 2013 - Pacific Island landbird monitoring annual report, Haleakalā National Park, 2012","interactions":[],"lastModifiedDate":"2014-06-20T14:14:19","indexId":"70048595","displayToPublicDate":"2013-01-01T10:16:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":272,"text":"National Park Service Natural Resource Technical Report","active":false,"publicationSubtype":{"id":4}},"seriesNumber":"NPS/PACN/NRTR—2013/740","title":"Pacific Island landbird monitoring annual report, Haleakalā National Park, 2012","docAbstract":"<p>Haleakalā National Park (HALE) was surveyed for landbirds and habitat characteristics from March 20 through July 26, 2012. This information provides data in the time-series of landbird monitoring for long-term trends in forest bird distribution, density, and abundance. The Kīpahulu District of eastern Haleakalā Volcano was surveyed using point-transect distance sampling to estimate bird abundance. We surveyed 160 stations and detected a total of 2,830 birds from 12 species. Half of the species were native and half were non-native. Numbers of detections per species ranged from 1 to 849. There were sufficient detections of seven species to allow density estimation. Āpapane (<i>Himatione sanguinea</i>) was the most widely distributed and abundant native species detected in the survey. ‘Alauahio (<i>Paroreomyza montana newtoni</i>), Maui ‘Amakihi (<i>Hemignathus virens wilsoni</i>), and I‘iwi (<i>Vestiaria coccinea</i>) were widespread and occurred in relatively modest densities. Only eight Kiwikiu (<i>Pseudonestor xanthophrys</i>) and 20 ‘Ākohekohe (<i>Palmeria dolei</i>) were detected and were restricted to high elevation wet forest. We estimated an abundance of 495 ± 261individuals of Kiwikiu in a 2,036 ha inference area which likely includes the entire suitable habitat for this species in HALE. For ‘Ākohekohe, we estimated an abundance of 1,150 ± 389 individuals in the 1,458 ha inference area. There was a strong representation of non-native landbirds in the survey area. The Japanese White-eye (<i>Zosterops japonicus</i>), Japanese Bush-warbler (<i>Cettia diphone</i>), and Red-billed Leiothrix (<i>Leiothrix lutea</i>) accounted for nearly half of all landbird detections. Each species was common in predominantly native forests.</p>\n<br/>\n<p>Vegetation and topographic characteristics were recorded on 160 landbird monitoring stations. HALE canopy and understory composition was predominantly native, especially at elevations above 1,100 m. Much of the forest canopy was comprised of `ohi`a (<i>Metrosideros polymorpha</i>) interspersed with mature olapa (<i>Cheirodendron platyphyllum</i>). This canopy class occurred at 92.5% of the stations surveyed. More than three-quarters (77.5%) of the monitoring stations had a dense canopy with most crowns interlocking (> 60% cover). More than half (52%) of the stations surveyed had trees taller than 10 m, while almost a third (31%) had trees 5-10 m. Only 17% of the stations had a canopy shorter than 5 m. The native shrubs <i>Vaccinium calycinum</i>, <i>Broussaisia arguta</i>, and <i>Leptecophylla tameiameae</i> were the most common understory plants recorded, occurring at more than 30% of the stations sampled. Native mosses and ferns were also common at stations, occurring at more than 90% of the stations sampled. The invasive <i>Psidium cattleainum</i>, <i>Clidemia hirta</i>, and <i>Hedychium gardnerianum</i> occurred at approximately 14% of the stations sampled, predominantly at elevations below 1,100 m.</p>","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Judge, S.W., Camp, R., and Hart, P., 2013, Pacific Island landbird monitoring annual report, Haleakalā National Park, 2012: National Park Service Natural Resource Technical Report NPS/PACN/NRTR—2013/740, ix, 82 p.","productDescription":"ix, 82 p.","numberOfPages":"96","ipdsId":"IP-044651","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":279162,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279174,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/App/Reference/Profile/2195246"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Haleakala National Park;Maui","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -156.275743,20.586349 ], [ -156.275743,20.795098 ], [ -156.020951,20.795098 ], [ -156.020951,20.586349 ], [ -156.275743,20.586349 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"528c96b5e4b0c629af44ddd1","contributors":{"authors":[{"text":"Judge, Seth W.","contributorId":8718,"corporation":false,"usgs":true,"family":"Judge","given":"Seth","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":485169,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Camp, Richard J.","contributorId":27392,"corporation":false,"usgs":true,"family":"Camp","given":"Richard J.","affiliations":[],"preferred":false,"id":485170,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hart, Patrick J.","contributorId":79750,"corporation":false,"usgs":true,"family":"Hart","given":"Patrick J.","affiliations":[],"preferred":false,"id":485171,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70113284,"text":"70113284 - 2013 - SPARROW models used to understand nutrient sources in the Mississippi/Atchafalaya River Basin","interactions":[],"lastModifiedDate":"2018-02-06T12:25:58","indexId":"70113284","displayToPublicDate":"2013-01-01T10:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"SPARROW models used to understand nutrient sources in the Mississippi/Atchafalaya River Basin","docAbstract":"Nitrogen (N) and phosphorus (P) loading from the Mississippi/Atchafalaya River Basin (MARB) has been linked to hypoxia in the Gulf of Mexico. To describe where and from what sources those loads originate, SPAtially Referenced Regression On Watershed attributes (SPARROW) models were constructed for the MARB using geospatial datasets for 2002, including inputs from wastewater treatment plants (WWTPs), and calibration sites throughout the MARB. Previous studies found that highest N and P yields were from the north-central part of the MARB (Corn Belt). Based on the MARB SPARROW models, highest N yields were still from the Corn Belt but centered over Iowa and Indiana, and highest P yields were widely distributed throughout the center of the MARB. Similar to that found in other studies, agricultural inputs were found to be the largest N and P sources throughout most of the MARB: farm fertilizers were the largest N source, whereas farm fertilizers, manure, and urban inputs were dominant P sources. The MARB models enable individual N and P sources to be defined at scales ranging from SPARROW catchments (∼50 km<sup>2</sup>) to the entire area of the MARB. Inputs of P from WWTPs and urban areas were more important than found in most other studies. Information from this study will help to reduce nutrient loading from the MARB by providing managers with a description of where each of the sources of N and P are most important, thus providing a basis for prioritizing management actions and ultimately reducing the extent of Gulf hypoxia.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Quality","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Agronomy","doi":"10.2134/jeq2013.02.0066","usgsCitation":"Robertson, D.M., and Saad, D.A., 2013, SPARROW models used to understand nutrient sources in the Mississippi/Atchafalaya River Basin: Journal of Environmental Quality, v. 42, no. 5, p. 1422-1440, https://doi.org/10.2134/jeq2013.02.0066.","productDescription":"19 p.","startPage":"1422","endPage":"1440","numberOfPages":"19","ipdsId":"IP-043684","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":474009,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2134/jeq2013.02.0066","text":"Publisher Index Page"},{"id":288956,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288911,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2134/jeq2013.02.0066"}],"country":"United States","otherGeospatial":"Mississippi/atchafalaya River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.05,29.63 ], [ -116.05,49.0 ], [ -76.27,49.0 ], [ -76.27,29.63 ], [ -116.05,29.63 ] ] ] } } ] }","volume":"42","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-09-01","publicationStatus":"PW","scienceBaseUri":"53ae7818e4b0abf75cf2c9cc","contributors":{"authors":[{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495040,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saad, David A. dasaad@usgs.gov","contributorId":121,"corporation":false,"usgs":true,"family":"Saad","given":"David","email":"dasaad@usgs.gov","middleInitial":"A.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495041,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70114667,"text":"70114667 - 2013 - The influence of precipitation, vegetation and soil properties on the ecohydrology of sagebrush steppe rangelands on the INL site","interactions":[],"lastModifiedDate":"2014-07-03T09:55:45","indexId":"70114667","displayToPublicDate":"2013-01-01T09:52:42","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"The influence of precipitation, vegetation and soil properties on the ecohydrology of sagebrush steppe rangelands on the INL site","docAbstract":"<p>The INL Site and other landscapes having sagebrush steppe vegetation are experiencing a simultaneous change in climate and floristics that result from increases in exotic species. Determining the separate and combined/interactive effects of climate and vegetation change is important for assessing future changes on the landscape and for hydrologic processes.</p>\n<br/>\n<p>This research uses the 72 experimental plots established and initially maintained for many years as the “Protective Cap Biobarrier Experiment” by Dr. Jay Anderson and the Stoller ESER program, and the experiment is also now referred to as the “INL Site Ecohydrology Study.” We are evaluating long-term impacts of different plant communities commonly found throughout Idaho subject to different precipitation regimes and to different soil depths. Treatments of amount and timing of precipitation (irrigation), soil depth, and either native/perennial or exotic grass vegetation allow researchers to investigate how vegetation, precipitation and soil interact to influence soil hydrology and ecosystem biogeochemistry. This information will be used to improve a variety of models, as well as provide data for these models.</p>","language":"English","publisher":"National Laboratory Site Enviromental Surveillance, Education, and Research Program","publisherLocation":"Broomfield, CO","usgsCitation":"Germino, M., 2013, The influence of precipitation, vegetation and soil properties on the ecohydrology of sagebrush steppe rangelands on the INL site, 1 p.","productDescription":"1 p.","numberOfPages":"1","ipdsId":"IP-053875","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":289094,"type":{"id":15,"text":"Index Page"},"url":"https://www.gsseser.com/LandManagement/ecohydrology2012.html"},{"id":289416,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b67b84e4b014fc094d5477","contributors":{"authors":[{"text":"Germino, Matthew J.","contributorId":50029,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[],"preferred":false,"id":495400,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70125649,"text":"70125649 - 2013 - Variable intertidal temperature explains why disease endangers black abalone","interactions":[],"lastModifiedDate":"2014-09-18T09:54:26","indexId":"70125649","displayToPublicDate":"2013-01-01T09:52:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Variable intertidal temperature explains why disease endangers black abalone","docAbstract":"Epidemiological theory suggests that pathogens will not cause host extinctions because agents of disease should fade out when the host population is driven below a threshold density. Nevertheless, infectious diseases have threatened species with extinction on local scales by maintaining high incidence and the ability to spread efficiently even as host populations decline. Intertidal black abalone (Haliotis cracherodii), but not other abalone species, went extinct locally throughout much of southern California following the emergence of a Rickettsiales-like pathogen in the mid-1980s. The rickettsial disease, a condition known as withering syndrome (WS), and associated mortality occur at elevated water temperatures. We measured abalone body temperatures in the field and experimentally manipulated intertidal environmental conditions in the laboratory, testing the influence of mean temperature and daily temperature variability on key epizootiological processes of WS. Daily temperature variability increased the susceptibility of black abalone to infection, but disease expression occurred only at warm water temperatures and was independent of temperature variability. These results imply that high thermal variation of the marine intertidal zone allows the pathogen to readily infect black abalone, but infected individuals remain asymptomatic until water temperatures periodically exceed thresholds modulating WS. Mass mortalities can therefore occur before pathogen transmission is limited by density-dependent factors.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.1890/11-2257.1","usgsCitation":"Ben-Horin, T., Lenihan, H.S., and Lafferty, K.D., 2013, Variable intertidal temperature explains why disease endangers black abalone: Ecology, v. 94, no. 1, p. 161-168, https://doi.org/10.1890/11-2257.1.","productDescription":"8 p.","startPage":"161","endPage":"168","numberOfPages":"8","ipdsId":"IP-038449","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":294105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294035,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/11-2257.1"}],"volume":"94","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"541bf463e4b0e96537ddf91f","contributors":{"authors":[{"text":"Ben-Horin, Tal","contributorId":58137,"corporation":false,"usgs":false,"family":"Ben-Horin","given":"Tal","email":"","affiliations":[],"preferred":false,"id":501538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lenihan, Hunter S.","contributorId":94227,"corporation":false,"usgs":true,"family":"Lenihan","given":"Hunter","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":501539,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501537,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70125273,"text":"70125273 - 2013 - A natural resource condition assessment for Sequoia and Kings Canyon National Parks: Appendix 22: climatic change","interactions":[],"lastModifiedDate":"2014-09-25T09:56:39","indexId":"70125273","displayToPublicDate":"2013-01-01T09:52:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/SEKI/NRR--2013/665.22","title":"A natural resource condition assessment for Sequoia and Kings Canyon National Parks: Appendix 22: climatic change","docAbstract":"<p>Climate is a master controller of the structure, composition, and function of biotic communities, \naffecting them both directly, through physiological effects, and indirectly, by mediating biotic \ninteractions and by influencing disturbance regimes. Sequoia and Kings Canyon National Park’s \n(SEKI’s) dramatic elevational changes in biotic communities -- from warm mediterranean to \ncold alpine -- are but one manifestation of climate’s overarching importance in shaping SEKI’s \nlandscape. </p>\n<br>\n<p>Yet humans are now altering the global climate, with measurable effects on ecosystems (IPCC \n2007). Over the last few decades across the western United States, human-induced climatic \nchanges have likely contributed to observed declines in fraction of precipitation falling as snow \nand snowpack water content (Mote et al. 2005, Knowles et al. 2006), advance in spring \nsnowmelt (Stewart et al. 2005, Barnett et al. 2008), and consequent increase in area burned in \nwildfires (Westerling et al. 2006). In the Sierra Nevada, warming temperatures have likely \ncontributed to observed glacial recession (Basagic 2008), uphill migration of small mammals \n(Moritz et al. 2008), and increasing tree mortality rates (van Mantgem and Stephenson 2007, van \nMantgem et al. 2009). More substantial changes can be expected for the future (e.g., IPCC \n2007).</p>\n<br>\n<p>Given the central importance of climate and climatic changes, we sought to describe long-term \ntrends in temperature and precipitation at SEKI. Time and budget constraints limited us to \nanalyses of mean annual temperature and mean annual precipitation, using readily-available data. \nIf funds become available in the future, further analyses will be needed to analyze trends by \nseason, trends in daily minimum and maximum temperatures, and so on.</p>\n<br>\n<p>We chose to analyze data from individual weather stations rather than use interpolated climatic \ndata from sources such as PRISM (http://www.prism.oregonstate.edu/). In topographically \ncomplex mountainous regions with few weather stations, like SEKI, the addition or subtraction \nof even a single weather station through time has the potential to significantly bias trends in \ninterpolated data. In particular, this analysis was motivated by our questioning of some PRISM \nresults presented in Appendix 1 (Landscape Context) that compared temperature averages \nbetween two 30-year periods of the 20th Century. Figures 6 and 11 of Appendix 1 indicate that \nrecent (1971-2000) temperatures in northern Kings Canyon National Park averaged some 2° C \ncooler than those of 1911-1940. This would represent a truly profound and persistent cooling, \nand seems to be at odds both with the glacial retreats observed in the area over the century \n(Basagic 2008), and with the reported PRISM warming of nearly 2° C just to the west of the \ncooling (see Figs. 6 and 11 in Appendix 1). We suspect that the extreme localized Kings Canyon \ncooling reported by PRISM is an artifact of sparsely-distributed weather stations in the region \nbeing added and discontinued over the span of the 20th Century. For example, data from the \nWestern Regional Climate Center (http://www.wrcc.dri.edu/coopmap/) suggest that for the \nperiod 1911 through 1924 PRISM must interpolate northern Kings Canyon temperatures based \non a few low-elevation stations -- separated by hundreds of kilometers -- in Nevada and \nCalifornia’s San Joaquin Valley. In contrast, by 1970 PRISM interpolations will be dominated \nby closer, higher-elevation stations (see this report). The single weather station closest to \nnorthern Kings Canyon that has a temperature record at least partly spanning Appendix 1’s two\n30-year time periods -- the Independence station, with a relatively continuous temperature record \nstarting in 1925 -- shows a modest warming, not a cooling, between 1925-1940 and 1971-2000, \nfurther casting doubt on the Kings Canyon cooling shown in Figs. 6 and 11 of Appendix 1. If \nfunds become available, it will be useful to more formally analyze potential PRISM biases in \nlong-term SEKI climatic trends. Until then, the analyses of individual weather station records \npresented here (effectively an analysis of source data that PRISM uses) are meant to provide a \nrobust summary of climatic changes in SEKI.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"A natural resource condition assessment for Sequoia and Kings Canyon National Parks","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Das, A., and Stephenson, N.L., 2013, A natural resource condition assessment for Sequoia and Kings Canyon National Parks: Appendix 22: climatic change: Natural Resource Report NPS/SEKI/NRR--2013/665.22, v, 28 p.","productDescription":"v, 28 p.","numberOfPages":"36","ipdsId":"IP-039290","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":294467,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294466,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/App/Reference/Profile/2195963"}],"country":"United States","state":"California","otherGeospatial":"Kings Canyon National Park;Sequoia National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.983208,36.118448 ], [ -118.983208,37.237613 ], [ -118.020777,37.237613 ], [ -118.020777,36.118448 ], [ -118.983208,36.118448 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54252e99e4b0e641df8a6e1c","contributors":{"authors":[{"text":"Das, Adrian J. 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":3842,"corporation":false,"usgs":true,"family":"Das","given":"Adrian J.","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501081,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70121475,"text":"70121475 - 2013 - Monitoring vegetation response to episodic disturbance events by using multitemporal vegetation indices","interactions":[],"lastModifiedDate":"2019-07-01T11:46:55","indexId":"70121475","displayToPublicDate":"2013-01-01T09:51:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring vegetation response to episodic disturbance events by using multitemporal vegetation indices","docAbstract":"<p><span>Normalized Difference Vegetation Index (NDVI) derived from MODerate-resolution Imaging Spectroradiometer (MODIS) satellite imagery and land/water assessments from Landsat Thematic Mapper (TM) imagery were used to quantify the extent and severity of damage and subsequent recovery after Hurricanes Katrina and Rita of 2005 within the vegetation communities of Louisiana's coastal wetlands. Field data on species composition and total live cover were collected from 232 unique plots during multiple time periods to corroborate changes in NDVI values over time. Aprehurricane 5-year baseline time series clearly identified NDVI values by habitat type, suggesting the sensitivity of NDVI to assess and monitor phenological changes in coastal wetland habitats. Monthly data from March 2005 to November 2006 were compared to the baseline average to create a departure from average statistic. Departures suggest that over 33% (4,714 km</span><sup>2</sup><span>) of the prestorm, coastal wetlands experienced a substantial decline in the density and vigor of vegetation by October 2005 (poststorm), mostly in the east and west regions, where landfalls of Hurricanes Katrina and Rita occurred. The percentage of area of persistent vegetation damage due to long-lasting formation of new open water was 91.8% in the east and 81.0% and 29.0% in the central and west regions, respectively. Although below average NDVI values were observed in most marsh communities through November 2006, recovery of vegetation was evident. Results indicated that impacts and recovery from large episodic disturbance events that influence multiple habitat types can be accurately determined using NDVI, especially when integrated with assessments of physical landscape changes and field verifications.</span></p>","language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/SI63-011.1","usgsCitation":"Steyer, G.D., Couvillion, B.R., and Barras, J., 2013, Monitoring vegetation response to episodic disturbance events by using multitemporal vegetation indices: Journal of Coastal Research, no. 63, p. 118-130, https://doi.org/10.2112/SI63-011.1.","productDescription":"13 p.","startPage":"118","endPage":"130","numberOfPages":"13","ipdsId":"IP-035355","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":292831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.0434,28.9254 ], [ -94.0434,30.5829 ], [ -88.8162,30.5829 ], [ -88.8162,28.9254 ], [ -94.0434,28.9254 ] ] ] } } ] }","issue":"63","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f85975e4b03f038c5c1872","contributors":{"authors":[{"text":"Steyer, Gregory D. 0000-0001-7231-0110 steyerg@usgs.gov","orcid":"https://orcid.org/0000-0001-7231-0110","contributorId":2856,"corporation":false,"usgs":true,"family":"Steyer","given":"Gregory","email":"steyerg@usgs.gov","middleInitial":"D.","affiliations":[{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":499102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Couvillion, Brady R. 0000-0001-5323-1687 couvillionb@usgs.gov","orcid":"https://orcid.org/0000-0001-5323-1687","contributorId":3829,"corporation":false,"usgs":true,"family":"Couvillion","given":"Brady","email":"couvillionb@usgs.gov","middleInitial":"R.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":499101,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barras, John A. jbarras@usgs.gov","contributorId":2425,"corporation":false,"usgs":true,"family":"Barras","given":"John A.","email":"jbarras@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":499103,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70113269,"text":"70113269 - 2013 - Reply to discussion: \"Nutrient inputs to the Laurentian Great Lakes by source and watershed estimated using SPARROW watershed models\" by R. Peter Richards, Ibrahim Alameddine, J. David Allan, David B. Baker, Nathan S. Bosch, Remegio Confesor, Joseph V. DePinto, David M. Dolan, Jeffrey M. Reutter, and Donald Scavia","interactions":[],"lastModifiedDate":"2018-02-06T12:26:08","indexId":"70113269","displayToPublicDate":"2013-01-01T09:50:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Reply to discussion: \"Nutrient inputs to the Laurentian Great Lakes by source and watershed estimated using SPARROW watershed models\" by R. Peter Richards, Ibrahim Alameddine, J. David Allan, David B. Baker, Nathan S. Bosch, Remegio Confesor, Joseph V. DePinto, David M. Dolan, Jeffrey M. Reutter, and Donald Scavia","docAbstract":"No abstract available.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the American Water Resources Association","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/jawr.12060","usgsCitation":"Robertson, D.M., and Saad, D.A., 2013, Reply to discussion: \"Nutrient inputs to the Laurentian Great Lakes by source and watershed estimated using SPARROW watershed models\" by R. Peter Richards, Ibrahim Alameddine, J. David Allan, David B. Baker, Nathan S. Bosch, Remegio Confesor, Joseph V. DePinto, David M. Dolan, Jeffrey M. Reutter, and Donald Scavia: Journal of the American Water Resources Association, v. 49, no. 3, p. 725-734, https://doi.org/10.1111/jawr.12060.","productDescription":"10 p.","startPage":"725","endPage":"734","numberOfPages":"10","ipdsId":"IP-043685","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":288908,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/jawr.12060"},{"id":288954,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-05-13","publicationStatus":"PW","scienceBaseUri":"53ae7813e4b0abf75cf2c913","chorus":{"doi":"10.1111/jawr.12060","url":"http://dx.doi.org/10.1111/jawr.12060","publisher":"Wiley-Blackwell","authors":"Robertson Dale M., Saad David A.","journalName":"JAWRA Journal of the American Water Resources Association","publicationDate":"5/13/2013","auditedOn":"11/15/2016"},"contributors":{"authors":[{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495033,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saad, David A. dasaad@usgs.gov","contributorId":121,"corporation":false,"usgs":true,"family":"Saad","given":"David","email":"dasaad@usgs.gov","middleInitial":"A.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495034,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70102297,"text":"70102297 - 2013 - Strong species-environment feedback shapes plant community assembly along environmental gradients","interactions":[],"lastModifiedDate":"2014-04-22T09:57:32","indexId":"70102297","displayToPublicDate":"2013-01-01T09:49:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Strong species-environment feedback shapes plant community assembly along environmental gradients","docAbstract":"An aim of community ecology is to understand the patterns of competing species assembly along environmental gradients. All species interact with their environments. However, theories of community assembly have seldom taken into account the effects of species that are able to engineer the environment. In this modeling study, we integrate the species' engineering trait together with processes of immigration and local dispersal into a theory of community assembly. We quantify the species' engineering trait as the degree to which it can move the local environment away from its baseline state towards the optimum state of the species (species-environment feedback). We find that, in the presence of immigration from a regional pool, strong feedback can increase local species richness; however, in the absence of continual immigration, species richness is a declining function of the strength of species-environment feedback. This shift from a negative effect of engineering strength on species richness to a positive effect, as immigration rate increases, is clearer when there is spatial heterogeneity in the form of a gradient in environmental conditions than when the environment is homogeneous or it is randomly heterogeneous. Increasing the scale over which local dispersal occurs can facilitate species richness when there is no species-environment feedback or when the feedback is weak. However, increases in the spatial scale of dispersal can reduce species richness when the species-environment feedback is strong. These results expand the theoretical basis for understanding the effects of the strength of species-environment feedback on community assembly.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology and Evolution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/ece3.784","usgsCitation":"Jiang, J., and DeAngelis, D., 2013, Strong species-environment feedback shapes plant community assembly along environmental gradients: Ecology and Evolution, v. 3, no. 12, p. 4119-4128, https://doi.org/10.1002/ece3.784.","productDescription":"10 p.","startPage":"4119","endPage":"4128","ipdsId":"IP-044975","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":474010,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.784","text":"Publisher Index Page"},{"id":286485,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286482,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/ece3.784"}],"volume":"3","issue":"12","noUsgsAuthors":false,"publicationDate":"2013-09-20","publicationStatus":"PW","scienceBaseUri":"53578f71e4b0938066bc81f5","contributors":{"authors":[{"text":"Jiang, Jiang","contributorId":46838,"corporation":false,"usgs":true,"family":"Jiang","given":"Jiang","affiliations":[],"preferred":false,"id":492916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":88015,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald L.","affiliations":[],"preferred":false,"id":492917,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70118254,"text":"70118254 - 2013 - Empirical estimates to reduce modeling uncertainties of soil organic carbon in permafrost regions: a review of recent progress and remaining challenges","interactions":[],"lastModifiedDate":"2017-11-02T15:38:33","indexId":"70118254","displayToPublicDate":"2013-01-01T09:46:51","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Empirical estimates to reduce modeling uncertainties of soil organic carbon in permafrost regions: a review of recent progress and remaining challenges","docAbstract":"The vast amount of organic carbon (OC) stored in soils of the northern circumpolar permafrost region is a potentially vulnerable component of the global carbon cycle. However, estimates of the quantity, decomposability, and combustibility of OC contained in permafrost-region soils remain highly uncertain, thereby limiting our ability to predict the release of greenhouse gases due to permafrost thawing. Substantial differences exist between empirical and modeling estimates of the quantity and distribution of permafrost-region soil OC, which contribute to large uncertainties in predictions of carbon–climate feedbacks under future warming. Here, we identify research challenges that constrain current assessments of the distribution and potential decomposability of soil OC stocks in the northern permafrost region and suggest priorities for future empirical and modeling studies to address these challenges.","language":"English","publisher":"Institute of Physics Publishing","doi":"10.1088/1748-9326/8/3/035020","usgsCitation":"Mishra, U., Jastrow, J., Matamala, R., Hugelius, G., Koven, C., Harden, J.W., Ping, S., Michaelson, G., Fan, Z., Miller, R., McGuire, A., Tarnocai, C., Kuhry, P., Riley, W., Schaefer, K., Schuur, E., Jorgenson, M., and Hinzman, L., 2013, Empirical estimates to reduce modeling uncertainties of soil organic carbon in permafrost regions: a review of recent progress and remaining challenges: Environmental Research Letters, v. 8, no. 3, 9 p., https://doi.org/10.1088/1748-9326/8/3/035020.","productDescription":"9 p.","numberOfPages":"10","ipdsId":"IP-049150","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":474011,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/8/3/035020","text":"Publisher Index Page"},{"id":291103,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291102,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1088/1748-9326/8/3/035020"}],"volume":"8","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-07-18","publicationStatus":"PW","scienceBaseUri":"57f7f38ee4b0bc0bec0a0a44","contributors":{"authors":[{"text":"Mishra, U.","contributorId":99906,"corporation":false,"usgs":true,"family":"Mishra","given":"U.","email":"","affiliations":[],"preferred":false,"id":496601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jastrow, J.D.","contributorId":89730,"corporation":false,"usgs":true,"family":"Jastrow","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":496598,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Matamala, R.","contributorId":106417,"corporation":false,"usgs":true,"family":"Matamala","given":"R.","affiliations":[],"preferred":false,"id":496602,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hugelius, G.","contributorId":27338,"corporation":false,"usgs":true,"family":"Hugelius","given":"G.","affiliations":[],"preferred":false,"id":496589,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Koven, C.D.","contributorId":34017,"corporation":false,"usgs":true,"family":"Koven","given":"C.D.","affiliations":[],"preferred":false,"id":496592,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harden, Jennifer W. 0000-0002-6570-8259 jharden@usgs.gov","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":1971,"corporation":false,"usgs":true,"family":"Harden","given":"Jennifer","email":"jharden@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":496593,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ping, S.L.","contributorId":13161,"corporation":false,"usgs":true,"family":"Ping","given":"S.L.","email":"","affiliations":[],"preferred":false,"id":496586,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Michaelson, G.J.","contributorId":94985,"corporation":false,"usgs":true,"family":"Michaelson","given":"G.J.","affiliations":[],"preferred":false,"id":496600,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fan, Z.","contributorId":31211,"corporation":false,"usgs":true,"family":"Fan","given":"Z.","email":"","affiliations":[],"preferred":false,"id":496591,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Miller, R.M.","contributorId":30555,"corporation":false,"usgs":true,"family":"Miller","given":"R.M.","email":"","affiliations":[],"preferred":false,"id":496590,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McGuire, A. D.","contributorId":16552,"corporation":false,"usgs":true,"family":"McGuire","given":"A. D.","affiliations":[],"preferred":false,"id":496587,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Tarnocai, C.","contributorId":67391,"corporation":false,"usgs":true,"family":"Tarnocai","given":"C.","affiliations":[],"preferred":false,"id":496596,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kuhry, P.","contributorId":57277,"corporation":false,"usgs":false,"family":"Kuhry","given":"P.","affiliations":[],"preferred":false,"id":496594,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Riley, W.J.","contributorId":76618,"corporation":false,"usgs":true,"family":"Riley","given":"W.J.","email":"","affiliations":[],"preferred":false,"id":496597,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Schaefer, K.","contributorId":64127,"corporation":false,"usgs":true,"family":"Schaefer","given":"K.","email":"","affiliations":[],"preferred":false,"id":496595,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Schuur, E.A.G.","contributorId":106679,"corporation":false,"usgs":true,"family":"Schuur","given":"E.A.G.","affiliations":[],"preferred":false,"id":496603,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Jorgenson, M.T.","contributorId":26889,"corporation":false,"usgs":true,"family":"Jorgenson","given":"M.T.","affiliations":[],"preferred":false,"id":496588,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Hinzman, L. D.","contributorId":90083,"corporation":false,"usgs":false,"family":"Hinzman","given":"L. D.","affiliations":[],"preferred":false,"id":496599,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70137783,"text":"70137783 - 2013 - Influence of estuarine processes on spatiotemporal variation in bioavailable selenium","interactions":[],"lastModifiedDate":"2015-01-14T09:37:27","indexId":"70137783","displayToPublicDate":"2013-01-01T09:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Influence of estuarine processes on spatiotemporal variation in bioavailable selenium","docAbstract":"<p>Dynamic processes (physical, chemical and biological) challenge our ability to quantify and manage the ecological risk of chemical contaminants in estuarine environments. Selenium (Se) bioavailability (defined by bioaccumulation), stable isotopes and molar carbon-tonitrogen ratios in the benthic clam Potamocorbula amurensis, an important food source for predators, were determined monthly for 17 yr in northern San Francisco Bay. Se concentrations in the clams ranged from a low of 2 to a high of 22 &mu;g g<sup>-1</sup> over space and time. Little of that variability was stochastic, however. Statistical analyses and preliminary hydrodynamic modeling showed that a constant mid-estuarine input of Se, which was dispersed up- and down-estuary by tidal currents, explained the general spatial patterns in accumulated Se among stations. Regression of Se bioavailability against river inflows suggested that processes driven by inflows were the primary driver of seasonal variability. River inflow also appeared to explain interannual variability but within the range of Se enrichment established at each station by source inputs. Evaluation of risks from Se contamination in estuaries requires the consideration of spatial and temporal variability on multiple scales and of the processes that drive that variability.</p>","language":"English","publisher":"Inter-Research","publisherLocation":"Oldendorf, Germany","doi":"10.3354/meps10503","usgsCitation":"Stewart, A.R., Luoma, S.N., Elrick, K.A., Carter, J.L., and van der Wegen, M., 2013, Influence of estuarine processes on spatiotemporal variation in bioavailable selenium: Marine Ecology Progress Series, v. 492, p. 41-56, https://doi.org/10.3354/meps10503.","productDescription":"16 p.","startPage":"41","endPage":"56","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049865","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":474013,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps10503","text":"Publisher Index Page"},{"id":297222,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297144,"type":{"id":15,"text":"Index Page"},"url":"https://www.int-res.com/articles/meps_oa/m492p041.pdf"}],"volume":"492","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2bd5e4b08de9379b3508","contributors":{"authors":[{"text":"Stewart, A. Robin 0000-0003-2918-546X arstewar@usgs.gov","orcid":"https://orcid.org/0000-0003-2918-546X","contributorId":1482,"corporation":false,"usgs":true,"family":"Stewart","given":"A.","email":"arstewar@usgs.gov","middleInitial":"Robin","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":40553,"text":"WMA - Office of the Chief Operating Officer","active":true,"usgs":true}],"preferred":true,"id":538093,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luoma, Samuel N. 0000-0001-5443-5091 snluoma@usgs.gov","orcid":"https://orcid.org/0000-0001-5443-5091","contributorId":2287,"corporation":false,"usgs":true,"family":"Luoma","given":"Samuel","email":"snluoma@usgs.gov","middleInitial":"N.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":538094,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elrick, Kent A.","contributorId":78415,"corporation":false,"usgs":true,"family":"Elrick","given":"Kent","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":538097,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carter, James L. 0000-0002-0104-9776 jlcarter@usgs.gov","orcid":"https://orcid.org/0000-0002-0104-9776","contributorId":3278,"corporation":false,"usgs":true,"family":"Carter","given":"James","email":"jlcarter@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":538096,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"van der Wegen, Mick","contributorId":76455,"corporation":false,"usgs":true,"family":"van der Wegen","given":"Mick","affiliations":[],"preferred":false,"id":538095,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70124603,"text":"70124603 - 2013 - Flying with the wind: Scale dependency of speed and direction measurements in modelling wind support in avian flight","interactions":[],"lastModifiedDate":"2017-08-30T10:29:43","indexId":"70124603","displayToPublicDate":"2013-01-01T09:38:23","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Flying with the wind: Scale dependency of speed and direction measurements in modelling wind support in avian flight","docAbstract":"<p><strong>Background</strong>: Understanding how environmental conditions, especially wind, influence birds' flight speeds is a prerequisite for understanding many important aspects of bird flight, including optimal migration strategies, navigation, and compensation for wind drift. Recent developments in tracking technology and the increased availability of data on large-scale weather patterns have made it possible to use path annotation to link the location of animals to environmental conditions such as wind speed and direction. However, there are various measures available for describing not only wind conditions but also the bird's flight direction and ground speed, and it is unclear which is best for determining the amount of wind support (the length of the wind vector in a bird’s flight direction) and the influence of cross-winds (the length of the wind vector perpendicular to a bird’s direction) throughout a bird's journey.</p><p><strong>Results</strong>: We compared relationships between cross-wind, wind support and bird movements, using path annotation derived from two different global weather reanalysis datasets and three different measures of direction and speed calculation for 288 individuals of nine bird species. Wind was a strong predictor of bird ground speed, explaining 10-66% of the variance, depending on species. Models using data from different weather sources gave qualitatively similar results; however, determining flight direction and speed from successive locations, even at short (15 min intervals), was inferior to using instantaneous GPS-based measures of speed and direction. Use of successive location data significantly underestimated the birds' ground and airspeed, and also resulted in mistaken associations between cross-winds, wind support, and their interactive effects, in relation to the birds' onward flight.</p><p><strong>Conclusions</strong>: Wind has strong effects on bird flight, and combining GPS technology with path annotation of weather variables allows us to quantify these effects for understanding flight behaviour. The potentially strong influence of scaling effects must be considered and implemented in developing sampling regimes and data analysis.</p>","language":"English","publisher":"BioMed Central","doi":"10.1186/2051-3933-1-4","usgsCitation":"Safi, K., Kranstauber, B., Weinzierl, R.P., Griffin, L., Reese, E.C., Cabot, D., Cruz, S., Proaño, C., Takekawa, J.Y., Newman, S.H., Waldenstrom, J., Bengtsson, D., Kays, R., Wikelski, M., and Bohrer, G., 2013, Flying with the wind: Scale dependency of speed and direction measurements in modelling wind support in avian flight: Movement Ecology, v. 1, no. 4, 13 p., https://doi.org/10.1186/2051-3933-1-4.","productDescription":"13 p.","numberOfPages":"13","onlineOnly":"Y","ipdsId":"IP-046325","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":474015,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/2051-3933-1-4","text":"Publisher Index Page"},{"id":293800,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-07-03","publicationStatus":"PW","scienceBaseUri":"54140b1fe4b082fed288b912","contributors":{"authors":[{"text":"Safi, Kamran","contributorId":83036,"corporation":false,"usgs":true,"family":"Safi","given":"Kamran","affiliations":[],"preferred":false,"id":519464,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kranstauber, Bart","contributorId":66610,"corporation":false,"usgs":true,"family":"Kranstauber","given":"Bart","affiliations":[],"preferred":false,"id":519461,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weinzierl, Rolf P.","contributorId":74687,"corporation":false,"usgs":true,"family":"Weinzierl","given":"Rolf","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":519462,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Griffin, Larry","contributorId":108038,"corporation":false,"usgs":true,"family":"Griffin","given":"Larry","email":"","affiliations":[],"preferred":false,"id":519467,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reese, Eileen C.","contributorId":30157,"corporation":false,"usgs":true,"family":"Reese","given":"Eileen","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":519457,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cabot, David","contributorId":13160,"corporation":false,"usgs":true,"family":"Cabot","given":"David","email":"","affiliations":[],"preferred":false,"id":519454,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cruz, Sebastian","contributorId":26987,"corporation":false,"usgs":true,"family":"Cruz","given":"Sebastian","affiliations":[],"preferred":false,"id":519455,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Proaño, Carolina","contributorId":28180,"corporation":false,"usgs":true,"family":"Proaño","given":"Carolina","affiliations":[],"preferred":false,"id":519456,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":519453,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Newman, Scott H.","contributorId":101372,"corporation":false,"usgs":true,"family":"Newman","given":"Scott","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":519466,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Waldenstrom, Jonas","contributorId":42891,"corporation":false,"usgs":true,"family":"Waldenstrom","given":"Jonas","email":"","affiliations":[],"preferred":false,"id":519458,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Bengtsson, Daniel","contributorId":56168,"corporation":false,"usgs":true,"family":"Bengtsson","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":519459,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kays, Roland","contributorId":83815,"corporation":false,"usgs":true,"family":"Kays","given":"Roland","affiliations":[],"preferred":false,"id":519465,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wikelski, Martin","contributorId":76451,"corporation":false,"usgs":true,"family":"Wikelski","given":"Martin","affiliations":[],"preferred":false,"id":519463,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Bohrer, Gil","contributorId":66569,"corporation":false,"usgs":true,"family":"Bohrer","given":"Gil","affiliations":[],"preferred":false,"id":519460,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70118248,"text":"70118248 - 2013 - Permafrost and organic layer interactions over a climate gradient in a discontinuous permafrost zone","interactions":[],"lastModifiedDate":"2018-03-29T14:00:29","indexId":"70118248","displayToPublicDate":"2013-01-01T09:32:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Permafrost and organic layer interactions over a climate gradient in a discontinuous permafrost zone","docAbstract":"<p><span>Permafrost is tightly coupled to the organic soil layer, an interaction that mediates permafrost degradation in response to regional warming. We analyzed changes in permafrost occurrence and organic layer thickness (OLT) using more than 3000 soil pedons across a mean annual temperature (MAT) gradient. Cause and effect relationships between permafrost probability (PF), OLT, and other topographic factors were investigated using structural equation modeling in a multi-group analysis. Groups were defined by slope, soil texture type, and shallow (&lt;28&nbsp;cm) versus deep organic (≥28&nbsp;cm) layers. The probability of observing permafrost sharply increased by 0.32 for every 10-cm OLT increase in shallow OLT soils (OLTs) due to an insulation effect, but PF decreased in deep OLT soils (OLTd) by 0.06 for every 10-cm increase. Across the MAT gradient, PF in sandy soils varied little, but PF in loamy and silty soils decreased substantially from cooler to warmer temperatures. The change in OLT was more heterogeneous across soil texture types—in some there was no change while in others OLTs soils thinned and/or OLTd soils thickened at warmer locations. Furthermore, when soil organic carbon was estimated using a relationship with thickness, the average increase in carbon in OLTd soils was almost four times greater compared to the average decrease in carbon in OLTs soils across all soil types. If soils follow a trajectory of warming that mimics the spatial gradients found today, then heterogeneities of permafrost degradation and organic layer thinning and thickening should be considered in the regional carbon balance.</span></p>","language":"English","publisher":"Institute of Physics Publishing","publisherLocation":"London, England","doi":"10.1088/1748-9326/8/3/035028","usgsCitation":"Johnson, K.D., Harden, J.W., McGuire, A., Clark, M., Yuan, F., and Finley, A., 2013, Permafrost and organic layer interactions over a climate gradient in a discontinuous permafrost zone: Environmental Research Letters, v. 8, no. 3, 12 p., https://doi.org/10.1088/1748-9326/8/3/035028.","productDescription":"12 p.","ipdsId":"IP-049439","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":474016,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/8/3/035028","text":"Publisher Index Page"},{"id":291095,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-08-13","publicationStatus":"PW","scienceBaseUri":"57f7f38ee4b0bc0bec0a0a4a","contributors":{"authors":[{"text":"Johnson, Kristofer D.","contributorId":81027,"corporation":false,"usgs":true,"family":"Johnson","given":"Kristofer","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":496573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harden, Jennifer W. 0000-0002-6570-8259 jharden@usgs.gov","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":1971,"corporation":false,"usgs":true,"family":"Harden","given":"Jennifer","email":"jharden@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":496569,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, A. David","contributorId":18494,"corporation":false,"usgs":true,"family":"McGuire","given":"A. David","affiliations":[],"preferred":false,"id":496570,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clark, Mark","contributorId":25879,"corporation":false,"usgs":true,"family":"Clark","given":"Mark","affiliations":[],"preferred":false,"id":496571,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yuan, Fengming","contributorId":81819,"corporation":false,"usgs":true,"family":"Yuan","given":"Fengming","email":"","affiliations":[],"preferred":false,"id":496574,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Finley, Andrew O.","contributorId":70666,"corporation":false,"usgs":true,"family":"Finley","given":"Andrew O.","affiliations":[],"preferred":false,"id":496572,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70048567,"text":"70048567 - 2013 - Effects of mercury deposition and coniferous forests on the mercury contamination of fish in the south central United States","interactions":[],"lastModifiedDate":"2013-10-24T09:35:11","indexId":"70048567","displayToPublicDate":"2013-01-01T09:21:00","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":"Effects of mercury deposition and coniferous forests on the mercury contamination of fish in the south central United States","docAbstract":"Mercury (Hg) is a toxic metal that is found in aquatic food webs and is hazardous to human and wildlife health. We examined the relationship between Hg deposition, land coverage by coniferous and deciduous forests, and average Hg concentrations in largemouth bass (Micropterus salmoides)-equivalent fish (LMBE) in 14 ecoregions located within all or part of six states in the South Central U.S. In 11 ecoregions, the average Hg concentrations in 35.6-cm total length LMBE were above 300 ng/g, the threshold concentration of Hg recommended by the U.S. Environmental Protection Agency for the issuance of fish consumption advisories. Percent land coverage by coniferous forests within ecoregions had a significant linear relationship with average Hg concentrations in LMBE while percent land coverage by deciduous forests did not. Eighty percent of the variance in average Hg concentrations in LMBE between ecoregions could be accounted for by estimated Hg deposition after adjusting for the effects of coniferous forests. Here we show for the first time that fish from ecoregions with high atmospheric Hg pollution and coniferous forest coverage pose a significant hazard to human health. Our study suggests that models that use Hg deposition to predict Hg concentrations in fish could be improved by including the effects of coniferous forests on Hg deposition.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Chemical Society","doi":"10.1021/es303734n","usgsCitation":"Drenner, R.W., Chumchal, M.M., Jones, C.M., Lehmann, C.M., Gay, D., and Donato, D.I., 2013, Effects of mercury deposition and coniferous forests on the mercury contamination of fish in the south central United States: Environmental Science & Technology, v. 47, no. 3, p. 1274-1279, https://doi.org/10.1021/es303734n.","productDescription":"6 p.","startPage":"1274","endPage":"1279","numberOfPages":"6","ipdsId":"IP-040449","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":278352,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278351,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es303734n"}],"country":"United States","state":"Arkansas;Louisiana;Mississippi;Oklahoma;Tennessee;Texas","otherGeospatial":"Arkansas Valley;Boston Mountains;Central Great Plainsl Cross Timbers;East Central Texas Plains;Mississippi Alluvial Plain;Mississippi Valley Loess Plains;Ozark Highlands;Ouachita Mountains;South Central Plains;Southeastern Plains;Southern Coastal Plain;Texas Blackland Prairies;Western Gulf Coastal Plain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.8,25.84 ], [ -100.8,36.96 ], [ -86.92,36.96 ], [ -86.92,25.84 ], [ -100.8,25.84 ] ] ] } } ] }","volume":"47","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"526a416fe4b0c0d229f9f66e","contributors":{"authors":[{"text":"Drenner, Ray W.","contributorId":46407,"corporation":false,"usgs":true,"family":"Drenner","given":"Ray","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":485100,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chumchal, Matthew M.","contributorId":84659,"corporation":false,"usgs":true,"family":"Chumchal","given":"Matthew","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":485102,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Christina M.","contributorId":104389,"corporation":false,"usgs":true,"family":"Jones","given":"Christina","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":485104,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lehmann, Christopher M.B.","contributorId":84859,"corporation":false,"usgs":true,"family":"Lehmann","given":"Christopher","email":"","middleInitial":"M.B.","affiliations":[],"preferred":false,"id":485103,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gay, David A.","contributorId":68022,"corporation":false,"usgs":true,"family":"Gay","given":"David A.","affiliations":[],"preferred":false,"id":485101,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Donato, David I. 0000-0002-5412-0249 didonato@usgs.gov","orcid":"https://orcid.org/0000-0002-5412-0249","contributorId":2234,"corporation":false,"usgs":true,"family":"Donato","given":"David","email":"didonato@usgs.gov","middleInitial":"I.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":485099,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70095678,"text":"70095678 - 2013 - The magnetic tides of Honolulu","interactions":[],"lastModifiedDate":"2014-03-10T09:26:40","indexId":"70095678","displayToPublicDate":"2013-01-01T09:20:00","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"The magnetic tides of Honolulu","docAbstract":"We review the phenomenon of time-stationary, periodic quiet-time geomagnetic tides. These are generated by the ionospheric and oceanic dynamos, and, to a lesser-extent, by the quiet-time magnetosphere, and they are affected by currents induced in the Earth's electrically conducting interior. We examine historical time series of hourly magnetic-vector measurements made at the Honolulu observatory. We construct high-resolution, frequency-domain Lomb-periodogram and maximum-entropy power spectra that reveal a panorama of stationary harmonics across periods from 0.1 to 10000.0-d, including harmonics that result from amplitude and phase modulation. We identify solar-diurnal tides and their annual and solar-cycle sideband modulations, lunar semi-diurnal tides and their solar-diurnal sidebands, and tides due to precession of lunar eccentricity and nodes. We provide evidence that a method intended for separating the ionospheric and oceanic dynamo signals by midnight subsampling of observatory data time series is prone to frequency-domain aliasing. The tidal signals we summarize in this review can be used to test our fundamental understanding of the dynamics of the quiet-time ionosphere and magnetosphere, induction in the ocean and in the electrically conducting interior of the Earth, and they are useful for defining a quiet-time baseline against which magnetospheric-storm intensity is measured.","largerWorkTitle":"Progress in EM Induction Studies of Crust and Mantle From Land, Sea, Air, and Space lll Posters","language":"English","publisher":"American Geophysical Union","usgsCitation":"Love, J.J., and Rigler, E.J., 2013, The magnetic tides of Honolulu, <i>in</i> Progress in EM Induction Studies of Crust and Mantle From Land, Sea, Air, and Space lll Posters.","ipdsId":"IP-055292","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":283503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":283502,"type":{"id":1,"text":"Abstract"},"url":"https://abstractsearch.agu.org/meetings/2013/FM/sections/GP/sessions/GP23A/abstracts/GP23A-0983.html"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7830e4b0b2908510bfb4","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":491338,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rigler, Erin Joshua","contributorId":85502,"corporation":false,"usgs":true,"family":"Rigler","given":"Erin","email":"","middleInitial":"Joshua","affiliations":[],"preferred":false,"id":491339,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70128270,"text":"70128270 - 2013 - Contaminants in stream sediments from seven United States metropolitan areas: part I: distribution in relation to urbanization","interactions":[],"lastModifiedDate":"2014-10-07T08:59:46","indexId":"70128270","displayToPublicDate":"2013-01-01T08:58:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Contaminants in stream sediments from seven United States metropolitan areas: part I: distribution in relation to urbanization","docAbstract":"Organic contaminants and trace elements were measured in bed sediments collected from streams in seven metropolitan study areas across the United States to assess concentrations in relation to urbanization. Polycyclic aromatic hydrocarbons, polychlorinated biphenyls, organochlorine pesticides, the pyrethroid insecticide bifenthrin, and several trace elements were significantly related to urbanization across study areas. Most contaminants (except bifenthrin, chromium, nickel) were significantly related to the total organic carbon (TOC) content of the sediments. Regression models explained 45–80 % of the variability in individual contaminant concentrations using degree of urbanization, sediment-TOC, and study-area indicator variables (which represent the combined influence of unknown factors, such as chemical use or release, that are not captured by available explanatory variables). The significance of one or more study-area indicator variables in all models indicates marked differences in contaminant levels among some study areas, even after accounting for the nationally modeled effects of urbanization and sediment-TOC. Mean probable effect concentration quotients (PECQs) were significantly related to urbanization. Trace elements were the major contributors to mean PECQs at undeveloped sites, whereas organic contaminants, especially bifenthrin, were the major contributors at highly urban sites. Pyrethroids, where detected, accounted for the largest share of the mean PECQ. Part 2 of this series (Kemble et al. 2012) evaluates sediment toxicity to amphipods and midge in relation to sediment chemistry.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Archives of Environmental Contamination and Toxicology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"New York, NY","doi":"10.1007/s00244-012-9813-0","usgsCitation":"Nowell, L.H., Moran, P.W., Gilliom, R.J., Calhoun, D.L., Ingersoll, C.G., Kemble, N.E., Kuivila, K., and Phillips, P., 2013, Contaminants in stream sediments from seven United States metropolitan areas: part I: distribution in relation to urbanization: Archives of Environmental Contamination and Toxicology, v. 64, no. 1, p. 32-51, https://doi.org/10.1007/s00244-012-9813-0.","productDescription":"20 p.","startPage":"32","endPage":"51","numberOfPages":"20","ipdsId":"IP-018523","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":294970,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294959,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00244-012-9813-0"},{"id":294960,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007%2Fs00244-012-9813-0"}],"volume":"64","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-11-06","publicationStatus":"PW","scienceBaseUri":"543500a1e4b0a4f4b46a2380","contributors":{"authors":[{"text":"Nowell, Lisa H. 0000-0001-5417-7264 lhnowell@usgs.gov","orcid":"https://orcid.org/0000-0001-5417-7264","contributorId":490,"corporation":false,"usgs":true,"family":"Nowell","given":"Lisa","email":"lhnowell@usgs.gov","middleInitial":"H.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":502785,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moran, Patrick W. 0000-0002-2002-3539 pwmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-2002-3539","contributorId":489,"corporation":false,"usgs":true,"family":"Moran","given":"Patrick","email":"pwmoran@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":502784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gilliom, Robert J. rgilliom@usgs.gov","contributorId":488,"corporation":false,"usgs":true,"family":"Gilliom","given":"Robert","email":"rgilliom@usgs.gov","middleInitial":"J.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":502783,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Calhoun, Daniel L. 0000-0003-2371-6936 dcalhoun@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-6936","contributorId":1455,"corporation":false,"usgs":true,"family":"Calhoun","given":"Daniel","email":"dcalhoun@usgs.gov","middleInitial":"L.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":502788,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":502789,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kemble, Nile E. 0000-0002-3608-0538 nkemble@usgs.gov","orcid":"https://orcid.org/0000-0002-3608-0538","contributorId":2626,"corporation":false,"usgs":true,"family":"Kemble","given":"Nile","email":"nkemble@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":502790,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kuivila, Kathryn  0000-0001-7940-489X kkuivila@usgs.gov","orcid":"https://orcid.org/0000-0001-7940-489X","contributorId":1367,"corporation":false,"usgs":true,"family":"Kuivila","given":"Kathryn ","email":"kkuivila@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":502787,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Phillips, Patrick J. pjphilli@usgs.gov","contributorId":856,"corporation":false,"usgs":true,"family":"Phillips","given":"Patrick J.","email":"pjphilli@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":502786,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70124005,"text":"70124005 - 2013 - Summary, synthesis, and significance","interactions":[],"lastModifiedDate":"2023-01-02T15:12:54.882312","indexId":"70124005","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"6","title":"Summary, synthesis, and significance","docAbstract":"<p>The initial habitat suitability model estimates pre‐European suitable habitat of the Mohave ground squirrel (MGS, <i>Xerospermophilus mohavensis</i>) covering 19,023 km<sup>2</sup>. Impact scenarios predicted that between 10 percent and 16 percent of suitable habitat has been lost to historical human disturbances, and up to an additional 10 percent may be affected by renewable energy development in the near future. These figures are the result of analyses conducted solely on public lands. State and private lands in the region also have pending proposals for renewable energy on 260 km<sup>2</sup>, and an additional 3,500 km<sup>2</sup> may be available for renewable energy. The sum of potential habitat disturbance on public, State, and private lands could equal up to a quarter of historic suitable habitat from pre‐European settlement levels.&nbsp;&nbsp;</p><p>While the analyses conducted here consider direct impacts from the footprint of renewable energy and associated transmission corridors, there are many indirect sources of environmental disturbance related to renewable energy development (Lovich and Ennen 2011). Some of those potentially important to the MGS include: increased fugitive dust and the release of chemicals such as dust suppressants, insulating fluids, and herbicides throughout the operational life of facilities, auditory interference from the sound and vibrations of turbines, increases in predators and invasive species that further alter system processes, and changes in surface flow of water that also influence vegetation that is important in these habitats. However, there is little research in the broader context of these topics for the Mojave Desert ecosystem, and less, if any, about the MGS.&nbsp;&nbsp;</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Habitat modeling, landscape genetics, and habitat connectivity for the Mohave ground squirrel to guide renewable energy development, CEC‐500‐2014‐003","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"language":"English","publisher":"University of Nevada, Reno","usgsCitation":"Esque, T., Nussear, K.E., Inman, R.D., Matocq, M.D., Weisberg, P.J., Dilts, T.E., and Leitner, P., 2013, Summary, synthesis, and significance, chap. 6 <i>of</i> Habitat modeling, landscape genetics, and habitat connectivity for the Mohave ground squirrel to guide renewable energy development, CEC‐500‐2014‐003, p. 132-136.","productDescription":"5 p.","startPage":"132","endPage":"136","ipdsId":"IP-049718","costCenters":[{"id":651,"text":"Western Ecological Research 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,{"id":70137540,"text":"70137540 - 2013 - Future distribution of tundra refugia in northern Alaska","interactions":[],"lastModifiedDate":"2018-08-20T18:11:16","indexId":"70137540","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"Future distribution of tundra refugia in northern Alaska","docAbstract":"<p>Climate change in the Arctic is a growing concern for natural resource conservation and management as a result of accelerated warming and associated shifts in the distribution and abundance of northern species. We introduce a predictive framework for assessing the future extent of Arctic tundra and boreal biomes in northern Alaska. We use geo-referenced museum specimens to predict the velocity of distributional change into the next century and compare predicted tundra refugial areas with current land-use. The reliability of predicted distributions, including differences between fundamental and realized niches, for two groups of species is strengthened by fossils and genetic signatures of demographic shifts. Evolutionary responses to environmental change through the late Quaternary are generally consistent with past distribution models. Predicted future refugia overlap managed areas and indicate potential hotspots for tundra diversity. To effectively assess future refugia, variable responses among closely related species to climate change warrants careful consideration of both evolutionary and ecological histories.</p>","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/nclimate1926","usgsCitation":"Hope, A.G., Waltari, E., Payer, D.C., Cook, J.A., and Talbot, S.L., 2013, Future distribution of tundra refugia in northern Alaska: Nature Climate Change, v. 3, p. 931-938, https://doi.org/10.1038/nclimate1926.","productDescription":"8 p.","startPage":"931","endPage":"938","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043843","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":297110,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -174.55078125,\n              66.5482634621744\n            ],\n            [\n              -174.55078125,\n              71.30079291637452\n            ],\n            [\n              -140.9765625,\n              71.30079291637452\n            ],\n            [\n              -140.9765625,\n              66.5482634621744\n            ],\n            [\n              -174.55078125,\n              66.5482634621744\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2013-07-07","publicationStatus":"PW","scienceBaseUri":"54dd2ba4e4b08de9379b344c","contributors":{"authors":[{"text":"Hope, Andrew G. 0000-0003-3814-2891 ahope@usgs.gov","orcid":"https://orcid.org/0000-0003-3814-2891","contributorId":4309,"corporation":false,"usgs":true,"family":"Hope","given":"Andrew","email":"ahope@usgs.gov","middleInitial":"G.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":537884,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waltari, Eric","contributorId":105946,"corporation":false,"usgs":false,"family":"Waltari","given":"Eric","affiliations":[],"preferred":false,"id":537965,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Payer, David C.","contributorId":7495,"corporation":false,"usgs":false,"family":"Payer","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":537966,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cook, Joseph A.","contributorId":8323,"corporation":false,"usgs":false,"family":"Cook","given":"Joseph","email":"","middleInitial":"A.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":537967,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":537885,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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