{"pageNumber":"837","pageRowStart":"20900","pageSize":"25","recordCount":184617,"records":[{"id":70199757,"text":"70199757 - 2018 - Factors influencing fine sediment on stream beds in the Midwestern United States","interactions":[],"lastModifiedDate":"2018-09-27T13:59:40","indexId":"70199757","displayToPublicDate":"2018-08-02T13:59:34","publicationYear":"2018","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":"Factors influencing fine sediment on stream beds in the Midwestern United States","docAbstract":"<p><span>Fine sediment (particles &lt;2 mm in diameter) in stream beds has wide-ranging effects on hydraulics, geomorphology, and ecology and is a primary focus for stream quality management in many regions. We identify reach- and basin-scale factors associated with fine sediment in the beds of 83 stream reaches in the Midwestern United States using recursive partitioning of sand-bed and gravel-bed streams and a generalized linear model for the fraction of a stream bed covered by fine sediment. A water-surface gradient of 0.00075 is the best single determinant (80% correct classification) distinguishing sand-bed streams (lower gradient) from gravel-bed streams (higher gradient). In the higher gradient category, sand-bed streams generally had more variable monthly precipitation than gravel-bed streams. The fractional response model indicated that the proportion of a stream bed composed of fine sediment is related to high sediment supply and low transport capacity but also high gravel transport capacity. This result is consistent with both theory and observations that bed material can be transported indiscriminately with respect to particle size under high shear stress, which will drive the particle size distribution of bed material toward the distribution of supply. Management of fine sediment in Midwestern streams has been approached largely by focusing on sediment supply, which may be immutable in some places due to the landscape position or glacial history. Retention of coarse sediment is an alternative management approach to reduce the fraction of fine sediment in the beds of some Midwestern streams.</span></p>","language":"English","publisher":"ACSESS","doi":"10.2134/jeq2018.02.0060","usgsCitation":"Konrad, C.P., and Gellis, A.C., 2018, Factors influencing fine sediment on stream beds in the Midwestern United States: Journal of Environmental Quality, v. 47, no. 5, p. 1214-1222, https://doi.org/10.2134/jeq2018.02.0060.","productDescription":"9 p.","startPage":"1214","endPage":"1222","ipdsId":"IP-084623","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":468526,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2134/jeq2018.02.0060","text":"Publisher Index Page"},{"id":357839,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -98.7451171875,\n              36.59788913307022\n            ],\n            [\n              -82.28759765625,\n              36.59788913307022\n            ],\n            [\n              -82.28759765625,\n              45.36758436884978\n            ],\n            [\n              -98.7451171875,\n              45.36758436884978\n            ],\n            [\n              -98.7451171875,\n              36.59788913307022\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"47","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc02fc0e4b0fc368eb53975","contributors":{"authors":[{"text":"Konrad, Christopher P. 0000-0002-7354-547X cpkonrad@usgs.gov","orcid":"https://orcid.org/0000-0002-7354-547X","contributorId":1716,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher","email":"cpkonrad@usgs.gov","middleInitial":"P.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gellis, Allen C. 0000-0002-3449-2889 agellis@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-2889","contributorId":197684,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen","email":"agellis@usgs.gov","middleInitial":"C.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746506,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70198483,"text":"70198483 - 2018 - Isolation by distance versus landscape resistance: Understanding dominant patterns of genetic structure in Northern Spotted Owls (Strix occidentalis caurina)","interactions":[],"lastModifiedDate":"2018-08-06T12:20:57","indexId":"70198483","displayToPublicDate":"2018-08-02T12:20:39","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Isolation by distance versus landscape resistance: Understanding dominant patterns of genetic structure in Northern Spotted Owls (<i>Strix occidentalis caurina</i>)","title":"Isolation by distance versus landscape resistance: Understanding dominant patterns of genetic structure in Northern Spotted Owls (Strix occidentalis caurina)","docAbstract":"<p><span>Landscape genetics investigations examine how the availability and configuration of habitat influence genetic structure of plants and animals. We used landscape genetics to evaluate the role that forest connectivity plays in determining genetic structure of the federally-threatened Northern Spotted Owl (</span><i>Strix occidentalis caurina</i><span>) using genotypes of 339 Northern Spotted Owls obtained for 10 microsatellite loci. Spatial clustering analyses identified a distinct genetic cluster at the southern extent of the region examined. This cluster could not be linked to landscape connectivity patterns and suggested that post-Pleistocene processes were involved with its development rather than contemporary landscape configuration. We also compared matrices of pairwise inter-individual genetic distances with resistance distances derived from a circuit-theory based framework. Resistance distances were obtained for an idealized raster map that reflected continuous unimpeded dispersal habitat across the landscape along with five empirically-derived raster maps reflecting the 1870’s, 1940’s, 1986, 1994, and 2012. Resistance distances from the idealized map served as surrogates for linear geographic distances. Relative to idealized conditions, resistance distances were ~250% higher in the 1940’s and ~200% higher from 1986 onward. Resistance distances from the 1870’s were ~40% higher than idealized conditions. Inter-individual genetic distances were most highly correlated with resistance distances from the idealized map rather than any of the empirical maps. Two hypotheses explain our results. First, our results may reflect temporal lags between the onset of large-scale habitat alterations and their novel effects on genetic structure in long-lived species such as Northern Spotted Owls. Second, because Northern Spotted Owls disperse over long distances, our results may indicate that forest habitat has never been sufficiently fragmented to the point where connectivity was disrupted. The second hypothesis could indicate that forest management practices mandated by the Northwest Forest Plan succeeded with one of its primary goals. However, our results do not represent a complete portrayal of the status of Northern Spotted Owls given detection of significant population declines and bottlenecks in other studies. Future investigations based on computer simulations may help distinguish between hypotheses.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0201720","usgsCitation":"Miller, M.P., Davis, R.J., Forsman, E.D., Mullins, T.D., and Haig, S.M., 2018, Isolation by distance versus landscape resistance: Understanding dominant patterns of genetic structure in Northern Spotted Owls (Strix occidentalis caurina): PLoS ONE, v. 13, no. 8, p. 1-14, https://doi.org/10.1371/journal.pone.0201720.","productDescription":"e0201720; 14 p.","startPage":"1","endPage":"14","ipdsId":"IP-090757","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":468527,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0201720","text":"Publisher Index Page"},{"id":437802,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7J67FVW","text":"USGS data release","linkHelpText":"Microsatellite markers, habitat quality, and sample location data for Northern Spotted Owls (Strix occidentalis caurina)"},{"id":356191,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.95849609375,\n              37.80544394934271\n            ],\n            [\n              -119.4873046875,\n              37.80544394934271\n            ],\n            [\n              -119.4873046875,\n              49.03786794532644\n            ],\n            [\n              -124.95849609375,\n              49.03786794532644\n            ],\n            [\n              -124.95849609375,\n              37.80544394934271\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"13","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-02","publicationStatus":"PW","scienceBaseUri":"5b6fc3e8e4b0f5d57878e927","contributors":{"authors":[{"text":"Miller, Mark P. 0000-0003-1045-1772 mpmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-1045-1772","contributorId":1967,"corporation":false,"usgs":true,"family":"Miller","given":"Mark","email":"mpmiller@usgs.gov","middleInitial":"P.","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":true,"id":741626,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Raymond J.","contributorId":150574,"corporation":false,"usgs":false,"family":"Davis","given":"Raymond","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":741627,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Forsman, Eric D.","contributorId":96792,"corporation":false,"usgs":false,"family":"Forsman","given":"Eric","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":741628,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mullins, Thomas D. 0000-0001-8948-9604 tom_mullins@usgs.gov","orcid":"https://orcid.org/0000-0001-8948-9604","contributorId":149824,"corporation":false,"usgs":true,"family":"Mullins","given":"Thomas","email":"tom_mullins@usgs.gov","middleInitial":"D.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":741629,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haig, Susan M. 0000-0002-6616-7589 susan_haig@usgs.gov","orcid":"https://orcid.org/0000-0002-6616-7589","contributorId":719,"corporation":false,"usgs":true,"family":"Haig","given":"Susan","email":"susan_haig@usgs.gov","middleInitial":"M.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":741630,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70198376,"text":"70198376 - 2018 - Volcanic eruptions and threats to respiratory health","interactions":[],"lastModifiedDate":"2018-08-02T11:48:54","indexId":"70198376","displayToPublicDate":"2018-08-02T11:48:24","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5724,"text":"American Journal of Respiratory and Critical Care Medicine","active":true,"publicationSubtype":{"id":10}},"title":"Volcanic eruptions and threats to respiratory health","docAbstract":"In early May 2018, Kīlauea volcano became increasingly active, posing an increase in threat to respiratory health. The emission of gases such as sulfur dioxide from Kīlauea produces large amounts of respirable acid particles as the gases react with water vapor and sunlight, resulting in a visible haze called “vog”. Additionally, the lava lake at Kīlauea’s summit crater has fallen, leading to explosions of “ash” that have reached as high up as 30,000 feet above sea level. Finally, lava entering the Pacific Ocean boils sea water to dryness, creating thick clouds of “laze” that is filled with hydrochloric acid and tiny shards of glass. Depending on your location and wind direction and speed, vog, ash, and laze can reach hazardous levels of air pollution that are toxic to humans. This fact sheet serves to inform you of potential adverse health effects following exposure to these airborne products of volcanic activity. This outdoor air quality issue is relevant to other locations worldwide at risk for volcanic activity.","language":"English","publisher":"American Thoracic Society","doi":"10.1164/rccm.19712P21","usgsCitation":"Carlos, W.G., Gross, J.E., Jamil, S., Dela Cruz, C.S., Damby, D., and Tam, E.K., 2018, Volcanic eruptions and threats to respiratory health: American Journal of Respiratory and Critical Care Medicine, v. 197, no. 12, p. P21-P22, https://doi.org/10.1164/rccm.19712P21.","productDescription":"2 p.","startPage":"P21","endPage":"P22","ipdsId":"IP-098924","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":468528,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1164/rccm.19712p21","text":"Publisher Index Page"},{"id":356111,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"197","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc3e8e4b0f5d57878e929","contributors":{"authors":[{"text":"Carlos, W. Graham","contributorId":206615,"corporation":false,"usgs":false,"family":"Carlos","given":"W.","email":"","middleInitial":"Graham","affiliations":[{"id":37145,"text":"Indiana University","active":true,"usgs":false}],"preferred":false,"id":741291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gross, Jane E.","contributorId":206616,"corporation":false,"usgs":false,"family":"Gross","given":"Jane","email":"","middleInitial":"E.","affiliations":[{"id":36955,"text":"National Jewish Health","active":true,"usgs":false}],"preferred":false,"id":741292,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jamil, Shazia","contributorId":206617,"corporation":false,"usgs":false,"family":"Jamil","given":"Shazia","email":"","affiliations":[{"id":37349,"text":"Scripps Clinic and University of California San Diego School of Medicine","active":true,"usgs":false}],"preferred":false,"id":741293,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dela Cruz, Charles S.","contributorId":206618,"corporation":false,"usgs":false,"family":"Dela Cruz","given":"Charles","email":"","middleInitial":"S.","affiliations":[{"id":37350,"text":"Yale School of Medicine","active":true,"usgs":false}],"preferred":false,"id":741294,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Damby, David 0000-0002-3238-3961 ddamby@usgs.gov","orcid":"https://orcid.org/0000-0002-3238-3961","contributorId":177453,"corporation":false,"usgs":true,"family":"Damby","given":"David","email":"ddamby@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":741290,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tam, Elizabeth K.","contributorId":173742,"corporation":false,"usgs":false,"family":"Tam","given":"Elizabeth","email":"","middleInitial":"K.","affiliations":[{"id":27286,"text":"John A. Burns School of Medicine, University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":741295,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70198369,"text":"70198369 - 2018 - Riparian defoliation by the invasive green alder sawfly influences terrestrial prey subsidies to salmon streams","interactions":[],"lastModifiedDate":"2018-09-28T09:11:06","indexId":"70198369","displayToPublicDate":"2018-08-02T11:41:54","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Riparian defoliation by the invasive green alder sawfly influences terrestrial prey subsidies to salmon streams","docAbstract":"<p><span>Invasive species in riparian forests are unique as their effects can transcend ecosystem boundaries via stream‐riparian linkages. The green alder sawfly (</span><i>Monsoma pulveratum</i><span>) is an invasive wasp whose larvae are defoliating riparian thin‐leaf alder (</span><i>Alnus tenuifolia</i><span>) stands across southcentral Alaska. To test the hypothesis that riparian defoliation by this invasive sawfly negatively affects the flow of terrestrial prey resources to stream fishes, we sampled terrestrial invertebrates on riparian alder foliage, their subsidies to streams and their consumption by juvenile coho salmon (</span><i>Oncorhynchus kisutch</i><span>). Invasive sawflies altered the composition of terrestrial invertebrates on riparian alder foliage and as terrestrial prey subsidies to streams. Community analyses supported these findings revealing that invasive sawflies shifted the community structure of terrestrial invertebrates between seasons and levels of energy flow (riparian foliage, streams and fish). Invasive sawfly biomass peaked mid‐summer, altering the timing and magnitude of terrestrial prey subsidies to streams. Contrary to our hypothesis, invasive sawflies had no effect on the biomass of native taxa on riparian alder foliage, as terrestrial prey subsidies, or in juvenile coho salmon diets. Juvenile coho salmon consumed invasive sawflies when most abundant, but relied more on other prey types selecting against sawflies relative to their availability. Although we did not find effects of invasive sawflies extending to juvenile coho salmon in this study, these results could change as the distribution of invasive sawflies expands or as defoliation intensifies. Nevertheless, riparian defoliation by these invasive sawflies is likely having other ecological effects that merits further investigation.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/eff.12407","usgsCitation":"Roon, D.A., Wipfli, M.S., and Kruse, J.J., 2018, Riparian defoliation by the invasive green alder sawfly influences terrestrial prey subsidies to salmon streams: Ecology of Freshwater Fish, v. 27, no. 4, p. 963-975, https://doi.org/10.1111/eff.12407.","productDescription":"13 p.","startPage":"963","endPage":"975","ipdsId":"IP-075675","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":356109,"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              -150.5621337890625,\n              60.35141309155354\n            ],\n            [\n              -148.941650390625,\n              60.35141309155354\n            ],\n            [\n              -148.941650390625,\n              61.380936033590665\n            ],\n            [\n              -150.5621337890625,\n              61.380936033590665\n            ],\n            [\n              -150.5621337890625,\n              60.35141309155354\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"27","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-11","publicationStatus":"PW","scienceBaseUri":"5b6fc3e9e4b0f5d57878e92b","contributors":{"authors":[{"text":"Roon, David A.","contributorId":42922,"corporation":false,"usgs":true,"family":"Roon","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":741399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":741274,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kruse, James J.","contributorId":72245,"corporation":false,"usgs":true,"family":"Kruse","given":"James","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":741400,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70198364,"text":"70198364 - 2018 - Timescales of magmatic differentiation from alkali basalt to trachyte within the Harrat Rahat volcanic field, Kingdom of Saudi Arabia","interactions":[],"lastModifiedDate":"2018-08-02T11:32:48","indexId":"70198364","displayToPublicDate":"2018-08-02T11:32:45","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1336,"text":"Contributions to Mineralogy and Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Timescales of magmatic differentiation from alkali basalt to trachyte within the Harrat Rahat volcanic field, Kingdom of Saudi Arabia","docAbstract":"<p><span>A fundamental goal of igneous petrology is to quantify the duration of time required to produce evolved magmas following influx of basalt into the crust. However, in many cases, complex field relations and/or the presence of a long-lived magmatic system make it difficult to assess how basaltic inputs relate to more evolved magmas, therefore, precluding calculation of meaningful timescales. Here, we present field relations, geochemistry,&nbsp;</span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar ages, and&nbsp;</span><sup>36</sup><span>Cl ages for volcanic rocks from the Harrat Rahat volcanic field, Saudi Arabia. These data document a systematic and repeated temporal progression from alkali basalt to trachyte for the youngest eruptives. From ~ 150 to ~ 17&nbsp;ka the following eruptive sequence occurred four times: (1) alkali basalt, (2) hawaiite, mugearite, or benmoreite, and (3) trachyte. We interpret each eruptive sequence to result from injection of basalt into the crust, and its subsequent differentiation and eruption of progressively evolved magmas. We use the interval time between successive eruptions within a given sequence to calculate the duration of time required to produce trachyte from alkali basalt. Differentiation from alkali basalt to intermediate compositions (hawaiite, mugearite, benmoreite) took ≤ 2 kyr on average. Differentiation from intermediate compositions to trachyte took a maximum of 6.6 ± 3.5 to 22.5 ± 1.6 kyr. Thus, the total duration of differentiation was ~ 9 to ~ 25 kyr. Timescales presented here are insensitive to processes evoked to drive differentiation because they are based solely on the ages and compositions of eruptive products from a system characterized by a simple, repeated differentiation sequence.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00410-018-1495-9","usgsCitation":"Stelten, M.E., Downs, D.T., Dietterich, H.R., Mahood, G.A., Calvert, A.T., Sisson, T.W., Zahran, H.M., and Shawali, J., 2018, Timescales of magmatic differentiation from alkali basalt to trachyte within the Harrat Rahat volcanic field, Kingdom of Saudi Arabia: Contributions to Mineralogy and Petrology, v. 173, p. 1-17, https://doi.org/10.1007/s00410-018-1495-9.","productDescription":"Article 68; 17 p.","startPage":"1","endPage":"17","ipdsId":"IP-096293","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":356108,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Saudi Arabia","otherGeospatial":"Harrat Rahat volcanic field","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              39.13,\n              21.27913739410871\n            ],\n            [\n              40.5615234375,\n              21.27913739410871\n            ],\n            [\n              40.5615234375,\n              24.51713945052515\n            ],\n            [\n              39.13,\n              24.51713945052515\n            ],\n            [\n              39.13,\n              21.27913739410871\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"173","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-01","publicationStatus":"PW","scienceBaseUri":"5b6fc3e9e4b0f5d57878e92d","contributors":{"authors":[{"text":"Stelten, Mark E. 0000-0002-5294-3161 mstelten@usgs.gov","orcid":"https://orcid.org/0000-0002-5294-3161","contributorId":145923,"corporation":false,"usgs":true,"family":"Stelten","given":"Mark","email":"mstelten@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":741262,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Downs, Drew T. 0000-0002-9056-1404 ddowns@usgs.gov","orcid":"https://orcid.org/0000-0002-9056-1404","contributorId":173516,"corporation":false,"usgs":true,"family":"Downs","given":"Drew","email":"ddowns@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":741263,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dietterich, Hannah R. 0000-0001-7898-4343 hdietterich@usgs.gov","orcid":"https://orcid.org/0000-0001-7898-4343","contributorId":194354,"corporation":false,"usgs":true,"family":"Dietterich","given":"Hannah","email":"hdietterich@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":741264,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mahood, Gail A. 0000-0001-9359-7640","orcid":"https://orcid.org/0000-0001-9359-7640","contributorId":206606,"corporation":false,"usgs":true,"family":"Mahood","given":"Gail","email":"","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":741265,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Calvert, Andrew T. 0000-0001-5237-2218 acalvert@usgs.gov","orcid":"https://orcid.org/0000-0001-5237-2218","contributorId":2694,"corporation":false,"usgs":true,"family":"Calvert","given":"Andrew","email":"acalvert@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":741266,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sisson, Thomas W. 0000-0003-3380-6425 tsisson@usgs.gov","orcid":"https://orcid.org/0000-0003-3380-6425","contributorId":2341,"corporation":false,"usgs":true,"family":"Sisson","given":"Thomas","email":"tsisson@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":741267,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zahran, Hani M. 0000-0002-0029-3822","orcid":"https://orcid.org/0000-0002-0029-3822","contributorId":203711,"corporation":false,"usgs":false,"family":"Zahran","given":"Hani","email":"","middleInitial":"M.","affiliations":[{"id":36695,"text":"Saudi Geological Survey","active":true,"usgs":false}],"preferred":true,"id":741268,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shawali, Jamal","contributorId":203709,"corporation":false,"usgs":false,"family":"Shawali","given":"Jamal","email":"","affiliations":[{"id":36695,"text":"Saudi Geological Survey","active":true,"usgs":false}],"preferred":false,"id":741269,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70198793,"text":"70198793 - 2018 - Improving understanding of soil organic matter dynamics by triangulating theories, measurements, and models","interactions":[],"lastModifiedDate":"2020-09-01T14:03:25.630002","indexId":"70198793","displayToPublicDate":"2018-08-01T16:48:28","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Improving understanding of soil organic matter dynamics by triangulating theories, measurements, and models","docAbstract":"Soil organic matter (SOM) turnover increasingly is conceptualized as a tension between accessibility to microorganisms and protection from decomposition via physical and chemical association with minerals in emerging soil biogeochemical theory. Yet, these components are missing from the original mathematical models of belowground carbon dynamics and remain underrepresented in more recent compartmental models that separate SOM into discrete pools with differing turnover times. Thus, a gap currently exists between the emergent understanding of SOM dynamics and our ability to improve terrestrial biogeochemical projections that rely on the existing models. In this opinion paper, we portray the SOM paradigm as a triangle composed of three nodes: conceptual theory, analytical measurement, and numerical models. In successful approaches, we contend that the nodes are connected—models capture the essential features of dominant theories while measurement tools generate data adequate to parameterize and evaluate the models—and balanced—models can inspire new theories via emergent behaviors, pushing empiricists to come up with new measurements. Many exciting advances recently pushed the boundaries on one or more nodes. However, newly integrated triangles have yet to coalesce. We conclude that our ability to incorporate mechanisms of microbial decomposition and physicochemical protection into predictions of SOM change is limited by current disconnections and imbalances among theory, measurement, and modeling. Opportunities to reintegrate the three components of the SOM paradigm exist by carefully considering their linkages and feedbacks at specific scales of observation.","language":"English","publisher":"Springer","doi":"10.1007/s10533-018-0478-2","usgsCitation":"Blankinship, J.C., Crow, S.E., Berhe, A.A., Druhan, J.L., Heckman, K.A., Keiluweit, M., Lawrence, C.R., Marin-Spiotta, E., Plante, A.F., Rasmussen, C., Schadel, C., Schmiel, J.P., Sierra, C.A., Thomson, A., Wagai, R., and Weider, W.R., 2018, Improving understanding of soil organic matter dynamics by triangulating theories, measurements, and models: Biogeochemistry, v. 140, no. 1, p. 1-13, https://doi.org/10.1007/s10533-018-0478-2.","productDescription":"13 p.","startPage":"1","endPage":"13","ipdsId":"IP-089660","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":356637,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"140","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-30","publicationStatus":"PW","scienceBaseUri":"5b98a28ae4b0702d0e842f55","contributors":{"authors":[{"text":"Blankinship, Joseph C.","contributorId":197908,"corporation":false,"usgs":false,"family":"Blankinship","given":"Joseph","email":"","middleInitial":"C.","affiliations":[{"id":34215,"text":"University of Arizona, Tucson, Arizona","active":true,"usgs":false}],"preferred":false,"id":742972,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crow, Susan E.","contributorId":197920,"corporation":false,"usgs":false,"family":"Crow","given":"Susan","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":742973,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berhe, Asmeret Asefaw","contributorId":207164,"corporation":false,"usgs":false,"family":"Berhe","given":"Asmeret","email":"","middleInitial":"Asefaw","affiliations":[{"id":16805,"text":"University of California, Merced","active":true,"usgs":false}],"preferred":false,"id":742974,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Druhan, Jennifer L.","contributorId":207165,"corporation":false,"usgs":false,"family":"Druhan","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":35161,"text":"University of Illinois, Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":742975,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heckman, Katherine A.","contributorId":207166,"corporation":false,"usgs":false,"family":"Heckman","given":"Katherine","email":"","middleInitial":"A.","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":742976,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Keiluweit, Marco","contributorId":197918,"corporation":false,"usgs":false,"family":"Keiluweit","given":"Marco","email":"","affiliations":[],"preferred":false,"id":742977,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lawrence, Corey R. 0000-0001-6143-7781","orcid":"https://orcid.org/0000-0001-6143-7781","contributorId":202390,"corporation":false,"usgs":true,"family":"Lawrence","given":"Corey","email":"","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":742971,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Marin-Spiotta, Erika","contributorId":202383,"corporation":false,"usgs":false,"family":"Marin-Spiotta","given":"Erika","email":"","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":742978,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Plante, Alain F.","contributorId":198719,"corporation":false,"usgs":false,"family":"Plante","given":"Alain","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":742979,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rasmussen, Craig","contributorId":139483,"corporation":false,"usgs":false,"family":"Rasmussen","given":"Craig","email":"","affiliations":[],"preferred":false,"id":742980,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Schadel, Christina","contributorId":202385,"corporation":false,"usgs":false,"family":"Schadel","given":"Christina","email":"","affiliations":[{"id":36405,"text":"University of Northern Arizona","active":true,"usgs":false}],"preferred":false,"id":742981,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Schmiel, Joshua P.","contributorId":202386,"corporation":false,"usgs":false,"family":"Schmiel","given":"Joshua","email":"","middleInitial":"P.","affiliations":[{"id":28103,"text":"University of California - Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":742982,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sierra, Carlos A.","contributorId":207167,"corporation":false,"usgs":false,"family":"Sierra","given":"Carlos","email":"","middleInitial":"A.","affiliations":[{"id":37469,"text":"Max Plank Institute of Biogeochemistry, Jena Germany","active":true,"usgs":false}],"preferred":false,"id":742983,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Thomson, Aaron","contributorId":207168,"corporation":false,"usgs":false,"family":"Thomson","given":"Aaron","email":"","affiliations":[{"id":37470,"text":"University of Georgia, Athens","active":true,"usgs":false}],"preferred":false,"id":742984,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Wagai, Rota","contributorId":202389,"corporation":false,"usgs":false,"family":"Wagai","given":"Rota","email":"","affiliations":[{"id":36407,"text":"Institute for Agro-Environmental Sciences","active":true,"usgs":false}],"preferred":false,"id":742985,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Weider, William R.","contributorId":207169,"corporation":false,"usgs":false,"family":"Weider","given":"William","email":"","middleInitial":"R.","affiliations":[{"id":37471,"text":"Institute for Arctic and Alpine Research, Boulder CO, USA","active":true,"usgs":false}],"preferred":false,"id":742986,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70197182,"text":"sim3407 - 2018 - Geologic map of the Hayfield quadrangle, Frederick County, Virginia","interactions":[],"lastModifiedDate":"2019-02-06T11:27:20","indexId":"sim3407","displayToPublicDate":"2018-08-01T16:45:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3407","displayTitle":"Geologic Map of the Hayfield Quadrangle, Frederick County, Virginia","title":"Geologic map of the Hayfield quadrangle, Frederick County, Virginia","docAbstract":"<p>The Hayfield 7.5-minute quadrangle is located within the Valley and Ridge physiographic province of northern Virginia. The quadrangle includes the topographical lowland area of the northern Great Valley to the southeast, the narrow ridge of Little North Mountain along the western edge of the Great Valley, and the broad region of elongated valleys and ridges west of Little North Mountain. The most prominent physiographic feature within the quadrangle is Great North Mountain, which extends across the northwestern portion of the quadrangle. All exposed bedrock units are Paleozoic sedimentary rocks ranging from Middle Cambrian to Late Devonian, approximately 513 to 359 Ma. The clastic and carbonate sedimentary strata in the quadrangle reflect nearshore and offshore marine and deltaic depositional environments. The deposits indicate minor sea level transgression and regression cycles along a passive continental margin during the Late Cambrian to Middle Ordovician, and major sea level changes resulting from tectonic uplift during the Late Ordovician Taconian orogeny and the Middle to Late Devonian Acadian orogeny. Compressive forces caused by the continental collision during the Paleozoic Alleghanian orogeny resulted in folding and faulting of the sedimentary rock strata, with northwestward tectonic transport. The North Mountain fault zone, spanning across the southeastern part of the quadrangle, forms the western border of the Great Valley in northern Virginia and is a series of northeast-trending thrust faults with multiple splays that separate the Silurian and Devonian shales, siltstones, and sandstones from the Cambrian and Ordovician carbonate rocks and shales. Topographic ridges in the quadrangle are primarily held up by sandstones and orthoquartzites that are relatively resistant to erosion. Surficial materials include unconsolidated alluvium, colluvium, debris flow, and terrace deposits that are assumed to be of Quaternary age. Alluvium was mapped along the larger streams; locally, some low alluvial terraces exist but have not been broken out within this unit. Debris flow deposits were mapped where recognized in the lidar-derived topographic imagery on the flanks of Great North Mountain. Colluvium (not mapped separately) covers most of the steeper slopes and fills the bottoms of many of the mountain hollows, and is composed mainly of sandstone boulders and cobbles, and fragments of chert.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3407","usgsCitation":"Doctor, D.H., and Parker, R.A., 2018, Geologic map of the Hayfield quadrangle, Frederick County, Virginia: U.S. Geological Survey Scientific Investigations Map 3407, scale 1:24,000, https://doi.org/10.3133/sim3407.","productDescription":"Sheet: 51.92 x 39.43 inches; Geodatabase; Metadata; Spatial Data; Readme","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-086133","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":355995,"rank":4,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sim/3407/sim3407_geodatabase.zip","text":"Geodatabase","size":"139 MB","linkFileType":{"id":6,"text":"zip"}},{"id":354353,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3407/sim3407.pdf","size":"40.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3407"},{"id":355996,"rank":5,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sim/3407/sim3407_shapefiles.zip","text":"Shapefiles","size":"1.09 MB","linkFileType":{"id":6,"text":"zip"}},{"id":355997,"rank":6,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3407/sim3407_readme.txt","text":"Readme","size":"1.94 KB","linkFileType":{"id":2,"text":"txt"}},{"id":354354,"rank":3,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3407/sim3407_metadata.zip","text":"Metadata","size":"202 KB","linkFileType":{"id":6,"text":"zip"}},{"id":354352,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3407/coverthb.jpg"},{"id":361043,"rank":7,"type":{"id":12,"text":"Errata"},"url":"https://pubs.usgs.gov/sim/3407/errata.txt","text":"SIM 3407","size":"1 KB","linkFileType":{"id":2,"text":"txt"}}],"country":"United States","state":"Virginia","county":"Frederick County","otherGeospatial":"Hayfield Quadrangle","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.25,\n              39.125\n            ],\n            [\n              -78.375,\n              39.125\n            ],\n            [\n              -78.375,\n              39.25\n            ],\n            [\n              -78.25,\n              39.25\n            ],\n            [\n              -78.25,\n              39.125\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://geology.er.usgs.gov/egpsc/\" data-mce-href=\"https://geology.er.usgs.gov/egpsc/\">Eastern Geology and Paleoclimate Science Center</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive, MS 926A<br>Reston, VA 20192</p>","tableOfContents":"<ul><li>Description of Map Units</li><li>Explanation of Map Units</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2018-08-01","noUsgsAuthors":false,"publicationDate":"2018-08-01","publicationStatus":"PW","scienceBaseUri":"5b6fc3e9e4b0f5d57878e92f","contributors":{"authors":[{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":735927,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parker, Ronald A.","contributorId":205044,"corporation":false,"usgs":false,"family":"Parker","given":"Ronald","email":"","middleInitial":"A.","affiliations":[{"id":37024,"text":"unaffiliated, formerly with the USGS","active":true,"usgs":false}],"preferred":false,"id":735928,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70199225,"text":"70199225 - 2018 - Metal reactivity in laboratory burned wood from a watershed affected by wildfires","interactions":[],"lastModifiedDate":"2018-09-11T16:36:52","indexId":"70199225","displayToPublicDate":"2018-08-01T16:36:47","publicationYear":"2018","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":"Metal reactivity in laboratory burned wood from a watershed affected by wildfires","docAbstract":"<p><span>We investigated interfacial processes affecting metal mobility by wood ash under laboratory-controlled conditions using aqueous chemistry, microscopy, and spectroscopy. The Valles Caldera National Preserve in New Mexico experiences catastrophic wildfires of devastating effects. Wood samples of Ponderosa Pine, Colorado Blue Spruce, and Quaking Aspen collected from this site were exposed to temperatures of 60, 350, and 550 °C. The 350 °C Pine ash had the highest content of Cu (4997 ± 262 mg kg</span><sup>–1</sup><span>), Cr (543 ± 124 mg kg</span><sup>–1</sup><span>), and labile dissolved organic carbon (DOC, 11.3 ± 0.28 mg L</span><sup>–1</sup><span>). Sorption experiments were conducted by reacting 350 °C Pine, Spruce, and Aspen ashes separately with 10 μM Cu(II) and Cr(VI) solutions. Up to a 94% decrease in Cu(II) concentration was observed in solution while Cr(VI) concentration showed a limited decrease (up to 13%) after 180 min of reaction. X-ray photoelectron spectroscopy (XPS) analyses detected increased association of Cu(II) on the near surface region of the reacted 350 °C Pine ash from the sorption experiments compared to the unreacted ash. The results suggest that dissolution and sorption processes should be considered to better understand the potential effects of metals transported by wood ash on water quality that have important implications for postfire recovery and response strategies.</span></p>","language":"English","publisher":"ACS","doi":"10.1021/acs.est.8b00530","usgsCitation":"Rahman, A., El Hayek, E., Blake, J.M., Bixby, R.J., Ali, A., Spilde, M., Otieno, A.A., Miltenberger, K., Ridgeway, C., Artyushkova, K., Atudorei, V., and Ceratto, J.M., 2018, Metal reactivity in laboratory burned wood from a watershed affected by wildfires: Environmental Science & Technology, v. 52, no. 15, p. 8115-8123, https://doi.org/10.1021/acs.est.8b00530.","productDescription":"9 p.","startPage":"8115","endPage":"8123","ipdsId":"IP-094540","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":357233,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"15","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-18","publicationStatus":"PW","scienceBaseUri":"5b98a28ae4b0702d0e842f57","contributors":{"authors":[{"text":"Rahman, Asifur","contributorId":207796,"corporation":false,"usgs":false,"family":"Rahman","given":"Asifur","email":"","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":744753,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"El Hayek, Eliane","contributorId":207797,"corporation":false,"usgs":false,"family":"El Hayek","given":"Eliane","email":"","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":744754,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blake, Johanna M. 0000-0003-4667-0096 jmtblake@usgs.gov","orcid":"https://orcid.org/0000-0003-4667-0096","contributorId":169698,"corporation":false,"usgs":true,"family":"Blake","given":"Johanna","email":"jmtblake@usgs.gov","middleInitial":"M.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":744752,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bixby, Rebecca J.","contributorId":147389,"corporation":false,"usgs":false,"family":"Bixby","given":"Rebecca","email":"","middleInitial":"J.","affiliations":[{"id":16834,"text":"Dept. of Biology and Museum of Southwestern Biology, Univ of NM","active":true,"usgs":false}],"preferred":false,"id":744755,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ali, Abdul-Mehdi","contributorId":207798,"corporation":false,"usgs":false,"family":"Ali","given":"Abdul-Mehdi","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":744756,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Spilde, Michael","contributorId":207799,"corporation":false,"usgs":false,"family":"Spilde","given":"Michael","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":744757,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Otieno, Amanda A.","contributorId":207800,"corporation":false,"usgs":false,"family":"Otieno","given":"Amanda","email":"","middleInitial":"A.","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":744758,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Miltenberger, Keely","contributorId":207801,"corporation":false,"usgs":false,"family":"Miltenberger","given":"Keely","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":744759,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ridgeway, Cyrena","contributorId":207802,"corporation":false,"usgs":false,"family":"Ridgeway","given":"Cyrena","email":"","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":744760,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Artyushkova, Kateryna","contributorId":207803,"corporation":false,"usgs":false,"family":"Artyushkova","given":"Kateryna","email":"","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":744761,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Atudorei, Viorel","contributorId":207804,"corporation":false,"usgs":false,"family":"Atudorei","given":"Viorel","email":"","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":744762,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ceratto, Jose M.","contributorId":207805,"corporation":false,"usgs":false,"family":"Ceratto","given":"Jose","email":"","middleInitial":"M.","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":744763,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70198763,"text":"70198763 - 2018 - Evidence for exposure to selenium by breeding interior snowy plovers (Charadrius nivosus) in saline systems of the Southern Great Plains","interactions":[],"lastModifiedDate":"2018-08-24T11:50:21","indexId":"70198763","displayToPublicDate":"2018-08-01T16:08:42","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Evidence for exposure to selenium by breeding interior snowy plovers <i>(Charadrius nivosus)</i> in saline systems of the Southern Great Plains","title":"Evidence for exposure to selenium by breeding interior snowy plovers (Charadrius nivosus) in saline systems of the Southern Great Plains","docAbstract":"<p><span>Interior snowy plover (</span><i class=\"EmphasisTypeItalic \">Charadrius nivosus</i><span>) population declines and deteriorating conditions throughout the Southern Great Plains (SGP) of Texas, New Mexico, and Oklahoma may be linked to environmental contaminants. Concentrations of V, As, Cd, Pb, and Se were quantified in breeding snowy plover blood, feathers (5th primary; P5), and potential prey (tiger beetles [</span><i class=\"EmphasisTypeItalic \">Cicindela circumpicta</i><span>&nbsp;and&nbsp;</span><i class=\"EmphasisTypeItalic \">C. togata</i><span>]). Se was (a) most commonly detected relative to other quantified elements and (b) frequently quantified at levels exceeding background or toxicity thresholds. Of samples greater than instrumentation detection limits, 98% of snowy plover blood and 22% of feather samples were greater than Se toxicity thresholds of 1 ppm ww for blood and 5 ppm dw for feathers (blood quantifiable range: 0.83–15.12 ppm; feathers quantifiable range: 1.90–27.47 ppm). Almost all tiger beetle Se concentrations were below reported invertebrate thresholds of 30 ppm dw (quantifiable range: 0.54–45.84 ppm). Snowy plover blood Se concentrations were related to sex, individual body condition, and local tiger beetle Se concentrations, while plover P5 Se concentrations were related to state, sex, and presence of body molt. Tiger beetle Se concentrations were related to individual study sites in Texas. These results provide some of the first evidence of Se exposure risk for interior snowy plovers nesting in saline lake and alkali flat environments of the SGP. Future efforts should focus upon specific Se uptake pathways during breeding and nonbreeding seasons, as snowy plovers breeding in the SGP appear to be exposed to Se throughout their annual cycle.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10646-018-1952-2","usgsCitation":"Ashbaugh, H., Conway, W.C., Haukos, D.A., Collins, D.P., Comer, C.E., and French, A.D., 2018, Evidence for exposure to selenium by breeding interior snowy plovers (Charadrius nivosus) in saline systems of the Southern Great Plains: Ecotoxicology, v. 27, no. 6, p. 703-718, https://doi.org/10.1007/s10646-018-1952-2.","productDescription":"16 p.","startPage":"703","endPage":"718","ipdsId":"IP-097857","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":356631,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico, Oklahoma, Texas","otherGeospatial":"Southern Great Plains","volume":"27","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-29","publicationStatus":"PW","scienceBaseUri":"5b98a28ae4b0702d0e842f59","contributors":{"authors":[{"text":"Ashbaugh, H.M.","contributorId":207185,"corporation":false,"usgs":false,"family":"Ashbaugh","given":"H.M.","email":"","affiliations":[],"preferred":false,"id":743092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Warren C.","contributorId":51550,"corporation":false,"usgs":true,"family":"Conway","given":"Warren","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":743091,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":742888,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collins, D. P.","contributorId":207149,"corporation":false,"usgs":false,"family":"Collins","given":"D.","email":"","middleInitial":"P.","affiliations":[{"id":37461,"text":"fws","active":true,"usgs":false}],"preferred":false,"id":742890,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Comer, C. E.","contributorId":207150,"corporation":false,"usgs":false,"family":"Comer","given":"C.","email":"","middleInitial":"E.","affiliations":[{"id":37462,"text":"AS univeristy","active":true,"usgs":false}],"preferred":false,"id":742891,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"French, A. D.","contributorId":207151,"corporation":false,"usgs":false,"family":"French","given":"A.","email":"","middleInitial":"D.","affiliations":[{"id":37463,"text":"TTU","active":true,"usgs":false}],"preferred":false,"id":742892,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70203666,"text":"70203666 - 2018 - A critical time for mercury science to inform global policy","interactions":[],"lastModifiedDate":"2019-05-30T16:09:35","indexId":"70203666","displayToPublicDate":"2018-08-01T16:03:55","publicationYear":"2018","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":"A critical time for mercury science to inform global policy","docAbstract":"<div class=\"article_abstract\"><div class=\"container container_scaled-down\"><div class=\"row\"><div class=\"col-xs-12\"><div id=\"abstractBox\" class=\"article_abstract-content hlFld-Abstract\"><p class=\"articleBody_abstractText\">Mercury is a global pollutant released into the biosphere by varied human activities including coal combustion, mining, artisanal gold mining, cement production, and chemical production. Once released to air, land and water, the addition of carbon atoms to mercury by bacteria results in the production of methylmercury, the toxic form that bioaccumulates in aquatic and terrestrial food chains resulting in elevated exposure to humans and wildlife. Global recognition of the mercury contamination problem has resulted in the Minamata Convention on Mercury, which came into force in 2017. The treaty aims to protect human health and the environment from human-generated releases of mercury curtailing its movement and transformations in the biosphere. Coincident with the treaty’s coming into force, the 13th International Conference of Mercury as a Global Pollutant (ICMGP-13) was held in Providence, Rhode Island USA. At ICMGP-13, cutting edge research was summarized and presented to address questions relating to global and regional sources and cycling of mercury, how that mercury is methylated, the effects of mercury exposure on humans and wildlife, and the science needed for successful implementation of the Minamata Convention. Human activities have the potential to enhance mercury methylation by remobilizing previously released mercury, and increasing methylation efficiency. This synthesis concluded that many of the most important factors influencing the fate and effects of mercury and its more toxic form, methylmercury, stem from environmental changes that are much broader in scope than mercury releases alone. Alterations of mercury cycling, methylmercury bioavailability and trophic transfer due to climate and land use changes remain critical uncertainties in effective implementation of the Minamata Convention. In the face of these uncertainties, important policy and management actions are needed over the short-term to support the control of mercury releases to land, water and air. These include adequate monitoring and communication on risk from exposure to various forms of inorganic mercury as well as methylmercury from fish and rice consumption. Successful management of global and local mercury pollution will require integration of mercury research and policy in a changing world.</p></div></div></div></div></div>","language":"English","publisher":"ACS","doi":"10.1021/acs.est.8b02286","usgsCitation":"Chen, C.Y., Driscoll, C.T., Eagles-Smith, C.A., Eckley, C.S., Gay, D.A., Hsu-Kim, H., Keane, S.E., Kirk, J.L., Mason, R., Obrist, D., Selin, H., Selin, N., and Thompson, M.R., 2018, A critical time for mercury science to inform global policy: Environmental Science & Technology, v. 52, no. 17, p. 9556-9561, https://doi.org/10.1021/acs.est.8b02286.","productDescription":"6 p.","startPage":"9556","endPage":"9561","ipdsId":"IP-096261","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"links":[{"id":468529,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.8b02286","text":"Publisher Index Page"},{"id":364266,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"17","noUsgsAuthors":false,"publicationDate":"2018-08-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Chen, Celia Y.","contributorId":145630,"corporation":false,"usgs":false,"family":"Chen","given":"Celia","email":"","middleInitial":"Y.","affiliations":[{"id":16179,"text":"Dartmouth College, Hanover NH","active":true,"usgs":false}],"preferred":false,"id":763491,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Driscoll, Charles T.","contributorId":167460,"corporation":false,"usgs":false,"family":"Driscoll","given":"Charles","email":"","middleInitial":"T.","affiliations":[{"id":5082,"text":"Syracuse University","active":true,"usgs":false}],"preferred":false,"id":763492,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":763493,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eckley, Chris S.","contributorId":167256,"corporation":false,"usgs":false,"family":"Eckley","given":"Chris","email":"","middleInitial":"S.","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":763494,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gay, David A.","contributorId":177963,"corporation":false,"usgs":false,"family":"Gay","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":763495,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hsu-Kim, Heileen","contributorId":49041,"corporation":false,"usgs":false,"family":"Hsu-Kim","given":"Heileen","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":763496,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Keane, S. E.","contributorId":56336,"corporation":false,"usgs":false,"family":"Keane","given":"S.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":763497,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kirk, Jane L.","contributorId":215947,"corporation":false,"usgs":false,"family":"Kirk","given":"Jane","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":763498,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mason, Robert","contributorId":92360,"corporation":false,"usgs":true,"family":"Mason","given":"Robert","email":"","affiliations":[],"preferred":false,"id":763499,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Obrist, Daniel","contributorId":172155,"corporation":false,"usgs":false,"family":"Obrist","given":"Daniel","email":"","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":763500,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Selin, Henrik","contributorId":215948,"corporation":false,"usgs":false,"family":"Selin","given":"Henrik","email":"","affiliations":[],"preferred":false,"id":763501,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Selin, Noelle","contributorId":215949,"corporation":false,"usgs":false,"family":"Selin","given":"Noelle","email":"","affiliations":[],"preferred":false,"id":763502,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Thompson, Marcella R.","contributorId":215950,"corporation":false,"usgs":false,"family":"Thompson","given":"Marcella","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":763503,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70202403,"text":"70202403 - 2018 - A new high-resolution map of world mountains and an online tool for visualizing and comparing characterizations of global mountain distributions","interactions":[],"lastModifiedDate":"2019-02-27T15:59:02","indexId":"70202403","displayToPublicDate":"2018-08-01T15:58:32","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2790,"text":"Mountain Research and Development","active":true,"publicationSubtype":{"id":10}},"title":"A new high-resolution map of world mountains and an online tool for visualizing and comparing characterizations of global mountain distributions","docAbstract":"<p><span>Answers to the seemingly straightforward questions “what is a mountain?” and “where are the mountains of the world?” are in fact quite complex, and there have been few attempts to map the mountains of the earth in a consistent and rigorous fashion. However, knowing exactly where mountain ecosystems are distributed on the planet is a precursor to conserving them, as called for in Sustainable Development Goals 6 and 15 of the United Nations 2030 Agenda for Sustainable Development. In this article we first compare 3 characterizations of global mountain distributions, including a new, high-resolution (250 m) map of global mountains derived from terrain characteristics. We show how differences in conceptual definition, methodology, and spatial resolution of source data can result in differences in the extent and location of lands classed as mountains. For example, the new 250-m resource documents a larger global mountain extent than previous characterizations, although it excludes plateaus, hilly forelands, and other landforms that are often considered part of mountain areas. We then introduce the Global Mountain Explorer, a new web-based application specifically developed for exploration, visualization, and comparison of these maps. This new open-access tool is an intuitive and versatile resource suitable for a broad range of users and applications.</span></p>","language":"English","publisher":"International Mountain Society","doi":"10.1659/MRD-JOURNAL-D-17-00107.1","usgsCitation":"Sayre, R., Frye, C., Karagulle, D., Krauer, J., Breyer, S., Aniello, P., Wright, D.J., Payne, D., Adler, C., Warner, H., Van Sistine, D.P., and Cress, J.J., 2018, A new high-resolution map of world mountains and an online tool for visualizing and comparing characterizations of global mountain distributions: Mountain Research and Development, v. 38, no. 3, p. 240-249, https://doi.org/10.1659/MRD-JOURNAL-D-17-00107.1.","productDescription":"10 p.","startPage":"240","endPage":"249","ipdsId":"IP-092425","costCenters":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"links":[{"id":468530,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1659/mrd-journal-d-17-00107.1","text":"Publisher Index Page"},{"id":437803,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9O035QJ","text":"USGS data release","linkHelpText":"Global Mountains K3"},{"id":361596,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sayre, Roger 0000-0001-6703-7105","orcid":"https://orcid.org/0000-0001-6703-7105","contributorId":213674,"corporation":false,"usgs":true,"family":"Sayre","given":"Roger","affiliations":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":758260,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frye, Charlie","contributorId":213675,"corporation":false,"usgs":false,"family":"Frye","given":"Charlie","email":"","affiliations":[{"id":38832,"text":"Esri","active":true,"usgs":false}],"preferred":false,"id":758261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karagulle, Deniz","contributorId":213676,"corporation":false,"usgs":false,"family":"Karagulle","given":"Deniz","email":"","affiliations":[{"id":38832,"text":"Esri","active":true,"usgs":false}],"preferred":false,"id":758262,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krauer, Jurg","contributorId":213667,"corporation":false,"usgs":false,"family":"Krauer","given":"Jurg","email":"","affiliations":[{"id":25430,"text":"University of Bern","active":true,"usgs":false}],"preferred":false,"id":758263,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Breyer, Sean","contributorId":213678,"corporation":false,"usgs":false,"family":"Breyer","given":"Sean","affiliations":[{"id":38832,"text":"Esri","active":true,"usgs":false}],"preferred":false,"id":758264,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Aniello, Peter","contributorId":191633,"corporation":false,"usgs":false,"family":"Aniello","given":"Peter","affiliations":[{"id":18946,"text":"Environmental Systems Research Institute, Inc. (ESRI), Redlands, CA","active":true,"usgs":false}],"preferred":false,"id":758265,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wright, Dawn J.","contributorId":191639,"corporation":false,"usgs":false,"family":"Wright","given":"Dawn","email":"","middleInitial":"J.","affiliations":[{"id":18946,"text":"Environmental Systems Research Institute, Inc. (ESRI), Redlands, CA","active":true,"usgs":false}],"preferred":false,"id":758266,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Payne, Davnah","contributorId":213668,"corporation":false,"usgs":false,"family":"Payne","given":"Davnah","email":"","affiliations":[{"id":38838,"text":"Global Mountain Biodiversity Assessment","active":true,"usgs":false}],"preferred":false,"id":758267,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Adler, Carolina","contributorId":213658,"corporation":false,"usgs":false,"family":"Adler","given":"Carolina","email":"","affiliations":[{"id":24848,"text":"Mountain Research Initiative","active":true,"usgs":false}],"preferred":false,"id":758268,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Warner, Harumi hwarner@usgs.gov","contributorId":213680,"corporation":false,"usgs":true,"family":"Warner","given":"Harumi","email":"hwarner@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":758269,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Van Sistine, D. Paco 0000-0003-1166-2547","orcid":"https://orcid.org/0000-0003-1166-2547","contributorId":213647,"corporation":false,"usgs":true,"family":"Van Sistine","given":"D.","email":"","middleInitial":"Paco","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":758270,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Cress, Jill Janene 0000-0002-3148-8374","orcid":"https://orcid.org/0000-0002-3148-8374","contributorId":213682,"corporation":false,"usgs":true,"family":"Cress","given":"Jill","email":"","middleInitial":"Janene","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":758271,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70202402,"text":"70202402 - 2018 - Monitoring mountains in a changing world: New horizons for the Global Network for Observations and Information on Mountain Environments (GEO-GNOME)","interactions":[],"lastModifiedDate":"2019-02-27T15:53:23","indexId":"70202402","displayToPublicDate":"2018-08-01T15:53:14","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2790,"text":"Mountain Research and Development","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring mountains in a changing world: New horizons for the Global Network for Observations and Information on Mountain Environments (GEO-GNOME)","docAbstract":"<p><span>Mountains are globally distributed environments that provide significant societal benefits, a function that is increasingly compromised by climatic change, environmental stress, political and socioeconomic transformations, and unsustainable use of natural resources. Gaps in our understanding of these processes and their interactions limit our capacity to inform decisions, where both generalities of mountain regions (eg climate processes) and specificities (eg context-specific manifestations of climate risks) matter. The Global Network for Observations and Information on Mountain Environments (GEO-GNOME), a Group on Earth Observations initiative, aims to fill these gaps through accessible Earth Observation (EO) as well as in-situ data and information on global change drivers, conditions, and trends. A workshop convened by the Mountain Research Initiative (MRI) revised GEO-GNOME's work plan, galvanizing a network that promotes relevant monitoring of global change in mountains and is responsive to the integrated knowledge needs of policy, research, and management.</span></p>","language":"English","publisher":"International Mountain Society","doi":"10.1659/MRD-JOURNAL-D-8-00065.1","usgsCitation":"Adler, C., Palazzi, E., Kulonen, A., Balsiger, J., Colangeli, G., Cripe, D., Forsythe, N., Goss-Durant, G., Guigoz, Y., Krauer, J., Payne, D., Pepin, N., Peralvo, M., Romero, J., Sayre, R., Shahgedanova, M., Weingartner, R., and Zebisch, M., 2018, Monitoring mountains in a changing world: New horizons for the Global Network for Observations and Information on Mountain Environments (GEO-GNOME): Mountain Research and Development, v. 38, no. 3, p. 265-269, https://doi.org/10.1659/MRD-JOURNAL-D-8-00065.1.","productDescription":"5 p.","startPage":"265","endPage":"269","ipdsId":"IP-099352","costCenters":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"links":[{"id":468531,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1659/mrd-journal-d-8-00065.1","text":"Publisher Index Page"},{"id":361595,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Adler, Carolina","contributorId":213658,"corporation":false,"usgs":false,"family":"Adler","given":"Carolina","email":"","affiliations":[{"id":24848,"text":"Mountain Research Initiative","active":true,"usgs":false}],"preferred":false,"id":758243,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palazzi, Elisa","contributorId":213659,"corporation":false,"usgs":false,"family":"Palazzi","given":"Elisa","email":"","affiliations":[{"id":38835,"text":"Institute of Atmospheric Sciences and Climate (ISAC) & National Research Council (CNR)","active":true,"usgs":false}],"preferred":false,"id":758244,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kulonen, Aino","contributorId":213660,"corporation":false,"usgs":false,"family":"Kulonen","given":"Aino","email":"","affiliations":[{"id":24848,"text":"Mountain Research Initiative","active":true,"usgs":false}],"preferred":false,"id":758245,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Balsiger, Jorg","contributorId":213661,"corporation":false,"usgs":false,"family":"Balsiger","given":"Jorg","email":"","affiliations":[{"id":25472,"text":"University of Geneva","active":true,"usgs":false}],"preferred":false,"id":758246,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Colangeli, 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,{"id":70201749,"text":"70201749 - 2018 - Landscape genetics identifies streams and drainage infrastructure as dispersal corridors for an endangered wetland bird","interactions":[],"lastModifiedDate":"2019-01-28T15:46:28","indexId":"70201749","displayToPublicDate":"2018-08-01T15:46:22","publicationYear":"2018","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":"Landscape genetics identifies streams and drainage infrastructure as dispersal corridors for an endangered wetland bird","docAbstract":"<p><span>Anthropogenic alterations to landscape structure and composition can have significant impacts on biodiversity, potentially leading to species extinctions. Population‐level impacts of landscape change are mediated by animal behaviors, in particular dispersal behavior. Little is known about the dispersal habits of rails (Rallidae) due to their cryptic behavior and tendency to occupy densely vegetated habitats. The effects of landscape structure on the movement behavior of waterbirds in general are poorly studied due to their reputation for having high dispersal abilities. We used a landscape genetic approach to test hypotheses of landscape effects on dispersal behavior of the Hawaiian gallinule (</span><i>Gallinula galeata sandvicensis</i><span>), an endangered subspecies endemic to the Hawaiian Islands. We created a suite of alternative resistance surfaces representing biologically plausible a priori hypotheses of how gallinules might navigate the landscape matrix and ranked these surfaces by their ability to explain observed patterns in genetic distance among 12 populations on the island of O`ahu. We modeled effective distance among wetland locations on all surfaces using both cumulative least‐cost‐path and resistance‐distance approaches and evaluated relative model performance using Mantel tests, a causal modeling approach, and the mixed‐model maximum‐likelihood population‐effects framework. Across all genetic markers, simulation methods, and model comparison metrics, surfaces that treated linear water features like streams, ditches, and canals as corridors for gallinule movement outperformed all other models. This is the first landscape genetic study on the movement behavior of any waterbird species to our knowledge. Our results indicate that lotic water features, including drainage infrastructure previously thought to be of minimal habitat value, contribute to habitat connectivity in this listed subspecies.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.4296","usgsCitation":"van Rees, C.B., Reed, J.M., Wilson, R.E., Underwood, J.G., and Sonsthagen, S.A., 2018, Landscape genetics identifies streams and drainage infrastructure as dispersal corridors for an endangered wetland bird: Ecology and Evolution, v. 8, no. 16, p. 8328-8343, https://doi.org/10.1002/ece3.4296.","productDescription":"16 p.","startPage":"8328","endPage":"8343","ipdsId":"IP-093331","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":468532,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.4296","text":"Publisher Index Page"},{"id":360770,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai`i","otherGeospatial":"O`ahu","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -158.31024169921875,\n              21.215140254089395\n            ],\n            [\n              -157.6263427734375,\n              21.215140254089395\n            ],\n            [\n              -157.6263427734375,\n              21.746744749939243\n            ],\n            [\n              -158.31024169921875,\n              21.746744749939243\n            ],\n            [\n              -158.31024169921875,\n              21.215140254089395\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","issue":"16","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-24","publicationStatus":"PW","scienceBaseUri":"5c5022c5e4b0708288f7e823","contributors":{"authors":[{"text":"van Rees, Charles B.","contributorId":198604,"corporation":false,"usgs":false,"family":"van Rees","given":"Charles","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":755178,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, J. Michael","contributorId":198605,"corporation":false,"usgs":false,"family":"Reed","given":"J.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":755179,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Robert E. 0000-0003-1800-0183 rewilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1800-0183","contributorId":5718,"corporation":false,"usgs":true,"family":"Wilson","given":"Robert","email":"rewilson@usgs.gov","middleInitial":"E.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":755180,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Underwood, Jared G.","contributorId":198606,"corporation":false,"usgs":false,"family":"Underwood","given":"Jared","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":755181,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":755177,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70197902,"text":"sir20185086 - 2018 - Tritium deposition in precipitation in the United States, 1953–2012","interactions":[],"lastModifiedDate":"2018-08-02T14:52:55","indexId":"sir20185086","displayToPublicDate":"2018-08-01T15:32:10","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5086","title":"Tritium deposition in precipitation in the United States, 1953–2012","docAbstract":"<p>Tritium is a radioactive isotope of hydrogen (half-life is equal to 12.32 years). Since it is part of the water molecule, tritium can be used to track and date groundwater and surface water when the history of tritium in precipitation and recharge is known. To facilitate that effort, tritium concentrations in precipitation were reconstructed from measurements and correlations for 10 precipitation stations in the continental United States. Using these data, and other data sets and correlations, estimates of tritium concentrations in precipitation from 1953 through 2012 and total tritium deposition from 1953 through 1983 were derived for 2 degrees latitude by 5 degrees longitude quadrangles of the continental United States. For August 1953 through December 1987 correlations were derived from the data of the Ottawa, Canada, station; for estimates after 1987, the Vienna, Austria, station was used. For quadrangles where no precipitation station records are available from measurements or correlations, concentrations were interpolated. The International Atomic Energy Agency has proposed that a correlation with the Vienna, Austria, station, which has been in operation since 1960, be used instead of the Ottawa, Canada, station for the period after 1987. Linear correlations calculated for all stations with the Vienna data are reported. Correlations also have been calculated for each latitude-longitude quadrangle using the estimated concentrations and the measured Vienna data for 1960–87. Because the Vienna, Austria, station is on a different continent, and not subject to the same seasonal weather patterns that affect North American stations, a correlation was obtained for each month individually. This reflects the fact that the North American stations were strongly affected by the input of low-tritium moisture from the south during the summer. The correlated station values were then used with measured Vienna data to obtain estimates of tritium concentrations in precipitation for the period 1988–2012 at each precipitation station and latitude-longitude quadrangles. This approach has two major advantages: (1) it blends the Ottawa correlation with the Vienna correlation to cover the period 1953 to present, and (2) it yields correlation coefficients for each quadrangle that can be used in future years when more data become available from the Vienna, Austria, station. The data, the estimated tritium concentrations derived from the correlations, and the correlation coefficients are provided as spreadsheets and associated comma delimited files in a data release that accompanies this report.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185086","usgsCitation":"Michel, R.L., Jurgens, B.C., and Young, M.B., 2018, Tritium deposition in precipitation in the United States, 1953–2012: U.S. Geological Survey Scientific Investigations Report 2018–5086, 11 p., https://doi.org/10.3133/sir20185086.","productDescription":"Report: iv, 11 p.; Data release","numberOfPages":"19","onlineOnly":"Y","ipdsId":"IP-094821","costCenters":[{"id":154,"text":"California Water Science 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 \"}}]}\n\n\n","contact":"<div><a href=\"mailto:dc_ca@usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"mailto:dc_ca@usgs.gov\">Director</a>,</div><div><a href=\"https://ca.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://ca.water.usgs.gov\">California Water Science Center</a><br data-mce-bogus=\"1\"></div><div><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br data-mce-bogus=\"1\"></div><div>6000 J Street, Placer Hall</div><div>Sacramento, California 95819</div>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Tritium Correlations</li><li>Tritium Deposition</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2018-08-01","noUsgsAuthors":false,"publicationDate":"2018-08-01","publicationStatus":"PW","scienceBaseUri":"5b6fc3eae4b0f5d57878e931","contributors":{"authors":[{"text":"Michel, Robert L. rlmichel@usgs.gov","contributorId":823,"corporation":false,"usgs":true,"family":"Michel","given":"Robert","email":"rlmichel@usgs.gov","middleInitial":"L.","affiliations":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"preferred":true,"id":739006,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jurgens, Bryant C. 0000-0002-1572-113X bjurgens@usgs.gov","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":127839,"corporation":false,"usgs":true,"family":"Jurgens","given":"Bryant C.","email":"bjurgens@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":739005,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, Megan B. 0000-0002-0229-4108 mbyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-0229-4108","contributorId":3315,"corporation":false,"usgs":true,"family":"Young","given":"Megan","email":"mbyoung@usgs.gov","middleInitial":"B.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":739007,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70199027,"text":"70199027 - 2018 - Review and development of ASABE Engineering Practice 621: “Guidelines for calibrating, validating, and evaluating hydrologic and water quality models”","interactions":[],"lastModifiedDate":"2018-08-29T15:19:23","indexId":"70199027","displayToPublicDate":"2018-08-01T15:19:19","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3619,"text":"Transactions of the ASABE","active":true,"publicationSubtype":{"id":10}},"title":"Review and development of ASABE Engineering Practice 621: “Guidelines for calibrating, validating, and evaluating hydrologic and water quality models”","docAbstract":"<p><span>In 2010, the Natural Resources and Environmental Systems Hydrology Committee (NRES-21) of ASABE initiated a long-term process to develop guidelines to improve modeling practice through better understanding of the calibration, validation, and evaluation process across applications and more effective interpretation and communication of model performance. This effort generated a compilation of 23 articles with model-specific descriptions and guidance (2012), a position paper outlining guidance for evaluating, interpreting, and communicating performance of hydrologic and water quality models considering intended use (2014), and a compilation of ten articles addressing key topics related to model calibration and validation (2015). In 2016, the first draft of ASABE Engineering Practice 621 (EP621), “Guidelines for Calibrating, Validating, and Evaluating Hydrologic and Water Quality (H/WQ) Models,” was developed, subsequently revised, and ultimately approved by the ASABE Standards Committee in 2017. EP621 provides guidelines, not prescriptive requirements, and as such recommends “good” modeling practices to enhance calibration, validation, evaluation, and communication of H/WQ models through establishment of consistent terminology; model selection; compilation and processing of input data and calibration, validation, and evaluation data; determination of model performance measures; model parameterization and calibration; re-examination of input and calibration data and/or consideration of model refinement; re-evaluation of model performance; and documentation of modeling process and results. EP621 can be obtained from the ASABE Technical Library at https://elibrary.asabe.org/abstract.asp?aid=47804. The objectives of this technical note are to review the process and rationale used to develop EP621 and to briefly summarize its major components.</span></p>","language":"English","publisher":"American Society of Agricultural and Biological Engineers (ASABE)","doi":"10.13031/trans.12806","usgsCitation":"Harmel, R.D., Baffaut, C., and Douglas-Mankin, K.R., 2018, Review and development of ASABE Engineering Practice 621: “Guidelines for calibrating, validating, and evaluating hydrologic and water quality models”: Transactions of the ASABE, v. 61, no. 4, p. 1393-1401, https://doi.org/10.13031/trans.12806.","productDescription":"9 p.","startPage":"1393","endPage":"1401","ipdsId":"IP-094716","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":356927,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"61","issue":"4","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a28ae4b0702d0e842f5b","contributors":{"authors":[{"text":"Harmel, R. Daren","contributorId":207419,"corporation":false,"usgs":false,"family":"Harmel","given":"R.","email":"","middleInitial":"Daren","affiliations":[{"id":37536,"text":"USDA-ARS Center for Agricultural Resources Research","active":true,"usgs":false}],"preferred":false,"id":743817,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baffaut, Claire","contributorId":207420,"corporation":false,"usgs":false,"family":"Baffaut","given":"Claire","email":"","affiliations":[{"id":37537,"text":"USDA-ARS Cropping Systems and Water Quality Research Unit","active":true,"usgs":false}],"preferred":false,"id":743818,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Douglas-Mankin, Kyle R. 0000-0002-3155-3666","orcid":"https://orcid.org/0000-0002-3155-3666","contributorId":203927,"corporation":false,"usgs":true,"family":"Douglas-Mankin","given":"Kyle","email":"","middleInitial":"R.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":743816,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70198515,"text":"70198515 - 2018 - Limits to ponderosa pine regeneration following large high-severity forest fires in the United States Southwest","interactions":[],"lastModifiedDate":"2019-10-28T09:29:07","indexId":"70198515","displayToPublicDate":"2018-08-01T14:57:53","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Limits to ponderosa pine regeneration following large high-severity forest fires in the United States Southwest","docAbstract":"<p>High-severity fires in dry conifer forests of the United States Southwest have created large (&gt;1000 ha) treeless areas that are unprecedented in the regional historical record. These fires have reset extensive portions of Southwestern ponderosa pine (Pinus ponderosa Lawson &amp; C. Lawson var. scopulorum Engelm.) forest landscapes. At least two recovery options following high-severity fire are emerging. One option is for post-fire successional pathways to move toward a return to the pre-fire forest type. Alternatively, an area may transition to persistent non-forested ecosystems. We studied regeneration patterns of ponderosa pine following eight fires in Arizona and New Mexico, USA, that burned in dry conifer forests dominated by ponderosa pine during a recent 18-year regional drought period, 1996 to 2013. Our a priori hypotheses were: 1) the most xeric areas within these severely burned dry conifer forests are least likely to regenerate to the pre-fire forest type due to persistent post-fire moisture stress; and 2) areas farther away from conifer seed sources have a lower likelihood of regeneration, even if these areas are climatically favorable for post-fire ponderosa pine establishment. We evaluated our hypotheses using empirical data and generalized linear mixed-effects models. We found that low-elevation, xeric sites are more limiting to conifer regeneration than higher-elevation mesic sites. Areas &gt;150 m from a seed source are much less likely to have ponderosa pine regeneration. Spatial interpolations of modeled post-fire regeneration of ponderosa pine across the study landscapes indicate expansive areas with low likelihood of pine regeneration following high-severity fire. We discuss multiple post-fire successional pathways following high-severity fire, including potentially stable transitions to non-forest vegetation types that may represent long-term type conversions. These findings regarding landscape changes in Southwest forests in response to fires and post-fire regeneration patterns during early-stage climate warming contribute to the development of better-informed ecosystem management strategies for forest adaptation or mitigation under projected hotter droughts in this region.</p>","language":"English","publisher":"Association for Fire Ecology","doi":"10.4996/fireecology.140114316","usgsCitation":"Haffey, C., Sisk, T.D., Allen, C.D., Thode, A.E., and Margolis, E.Q., 2018, Limits to ponderosa pine regeneration following large high-severity forest fires in the United States Southwest: Fire Ecology, v. 14, no. 1, p. 143-163, https://doi.org/10.4996/fireecology.140114316.","productDescription":"21 p.","startPage":"143","endPage":"163","ipdsId":"IP-095323","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":468533,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4996/fireecology.140114316","text":"Publisher Index Page"},{"id":356211,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, New Mexico","volume":"14","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-01","publicationStatus":"PW","scienceBaseUri":"5b6fc3eae4b0f5d57878e933","contributors":{"authors":[{"text":"Haffey, Collin","contributorId":206779,"corporation":false,"usgs":false,"family":"Haffey","given":"Collin","email":"","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":741747,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sisk, Thomas D.","contributorId":206780,"corporation":false,"usgs":false,"family":"Sisk","given":"Thomas","email":"","middleInitial":"D.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":741749,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":741748,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thode, Andrea E.","contributorId":189574,"corporation":false,"usgs":false,"family":"Thode","given":"Andrea","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":741750,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Margolis, Ellis Q. 0000-0002-0595-9005 emargolis@usgs.gov","orcid":"https://orcid.org/0000-0002-0595-9005","contributorId":173538,"corporation":false,"usgs":true,"family":"Margolis","given":"Ellis","email":"emargolis@usgs.gov","middleInitial":"Q.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":741746,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70198428,"text":"70198428 - 2018 - The influence of nutrients from carcasses of sea lamprey (Petromyzon marinus) on larval growth and spawner abundance","interactions":[],"lastModifiedDate":"2018-08-06T14:45:51","indexId":"70198428","displayToPublicDate":"2018-08-01T14:45:43","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1663,"text":"Fishery Bulletin","printIssn":"0090-0656","active":true,"publicationSubtype":{"id":10}},"title":"The influence of nutrients from carcasses of sea lamprey (Petromyzon marinus) on larval growth and spawner abundance","docAbstract":"<p>Migrations of anadromous sea lamprey (Petromyzon marinus) from marine ecosystems serve as vectors of nutrients into freshwater food webs. Larval sea lamprey reside in streams for 6–8 years as deposit feeders before metamorphosing into juveniles and migrating to the ocean. Previous work has shown that carcass nutrients, which result from the death of adult lamprey after spawning, increase stream productivity and are consumed by larvae. This may increase larval growth rates and enhance earlier metamorphosis. We examined the sensitivity of life-history parameters and influence of nutrients from carcasses of sea lamprey on the age and growth of larval conspecifics with a deterministic stock-recruitment model. We hypothesized that variability in growth among larval populations is productivity mediated and we compared modeled populations in which larvae receive added growth benefits from carcass nutrients with populations that do not. The results of our simulation indicate that increases in larval growth and lower age at metamorphosis over time lead to an increase in spawner abundance. Increased growth rates may also improve fitness and bolster subsequent spawning stocks. Our research characterized 2 potential ecosystem states, one in which larval sea lamprey benefit from adult conspecifics and another in which the larvae do not.</p>","language":"English","publisher":"National Marine Fisheries Service","doi":"10.7755/FB.116.2.3","usgsCitation":"Weaver, D.M., Coghlan, S.M., and Zydlewski, J.D., 2018, The influence of nutrients from carcasses of sea lamprey (Petromyzon marinus) on larval growth and spawner abundance: Fishery Bulletin, v. 116, no. 2, p. 142-152, https://doi.org/10.7755/FB.116.2.3.","productDescription":"11 p.","startPage":"142","endPage":"152","ipdsId":"IP-087199","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468534,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7755/fb.116.2.3","text":"Publisher Index Page"},{"id":356206,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"116","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-02","publicationStatus":"PW","scienceBaseUri":"5b6fc3ebe4b0f5d57878e935","contributors":{"authors":[{"text":"Weaver, Daniel M.","contributorId":145786,"corporation":false,"usgs":false,"family":"Weaver","given":"Daniel","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":741751,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coghlan, Stephen M. Jr.","contributorId":169678,"corporation":false,"usgs":false,"family":"Coghlan","given":"Stephen","suffix":"Jr.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":741752,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":741397,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70198930,"text":"70198930 - 2018 - Patterns of longer-term climate change effects on CO2 efflux from biocrusted soils differ from those observed in the short term","interactions":[],"lastModifiedDate":"2018-08-27T14:28:10","indexId":"70198930","displayToPublicDate":"2018-08-01T14:28:04","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Patterns of longer-term climate change effects on CO<sub>2</sub> efflux from biocrusted soils differ from those observed in the short term","title":"Patterns of longer-term climate change effects on CO2 efflux from biocrusted soils differ from those observed in the short term","docAbstract":"<p><span>Biological soil crusts (biocrusts) are predicted to be sensitive to the increased temperature and altered precipitation associated with climate change. We assessed the effects of these factors on soil carbon dioxide (CO</span><sub>2</sub><span>) balance in biocrusted soils using a sequence of manipulations over a 9-year period. We warmed biocrusted soils by 2 and, later, by 4</span><span>°C to better capture updated forecasts of future temperature at a site on the Colorado Plateau, USA. We also watered soils to alter monsoon-season precipitation amount and frequency and had plots that received both warming and altered precipitation treatments. Within treatment plots, we used 20 automated flux chambers to monitor net soil exchange (NSE) of CO</span><sub>2</sub><span>&nbsp;hourly, first in 2006–2007 and then again in 2013–2014, for a total of 39&nbsp;months. Net CO</span><sub>2</sub><span>&nbsp;efflux from biocrusted soils in the warming treatment increased a year after the experiment began (2006–2007). However, after 9&nbsp;years and even greater warming (4</span><span>°C), results were more mixed, with a reversal of the increase in 2013 (i.e., controls showed higher net CO</span><sub>2</sub><span>&nbsp;efflux than treatment plots) and with similarly high rates in all treatments during 2014, a wet year. Over the longer term, we saw evidence of reduced photosynthetic capacity of the biocrusts in response to both the temperature and altered precipitation treatments. Patterns in biocrusted soil CO</span><sub>2</sub><span>&nbsp;exchange under experimentally altered climate suggest that (1)&nbsp;warming stimulation of CO</span><sub>2</sub><span>&nbsp;efflux was diminished later in the experiment, even in the face of greater warming; and (2)&nbsp;treatment effects on CO</span><sub>2</sub><span>&nbsp;flux patterns were likely driven by changes in biocrust species composition and by changes in root respiration due to vascular plant responses.</span></p>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/bg-15-4561-2018","usgsCitation":"Darrouzet-Nardi, A., Reed, S.C., Grote, E.E., and Belnap, J., 2018, Patterns of longer-term climate change effects on CO2 efflux from biocrusted soils differ from those observed in the short term: Biogeosciences, v. 15, p. 4561-4573, https://doi.org/10.5194/bg-15-4561-2018.","productDescription":"13 p.","startPage":"4561","endPage":"4573","ipdsId":"IP-095373","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":460871,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-15-4561-2018","text":"Publisher Index Page"},{"id":356800,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-26","publicationStatus":"PW","scienceBaseUri":"5b98a28ae4b0702d0e842f5d","contributors":{"authors":[{"text":"Darrouzet-Nardi, Anthony adarrouzet-nardi@usgs.gov","contributorId":207292,"corporation":false,"usgs":false,"family":"Darrouzet-Nardi","given":"Anthony","email":"adarrouzet-nardi@usgs.gov","affiliations":[],"preferred":false,"id":743460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743459,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grote, Edmund E. 0000-0002-9103-9482 ed_grote@usgs.gov","orcid":"https://orcid.org/0000-0002-9103-9482","contributorId":4271,"corporation":false,"usgs":true,"family":"Grote","given":"Edmund","email":"ed_grote@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743461,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743462,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70199377,"text":"70199377 - 2018 - Drivers and mechanisms of tree mortality in moist tropical forests","interactions":[],"lastModifiedDate":"2018-09-17T14:15:50","indexId":"70199377","displayToPublicDate":"2018-08-01T14:15:38","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2863,"text":"New Phytologist","active":true,"publicationSubtype":{"id":10}},"title":"Drivers and mechanisms of tree mortality in moist tropical forests","docAbstract":"<p><span>Tree mortality rates appear to be increasing in moist tropical forests (MTFs) with significant carbon cycle consequences. Here, we review the state of knowledge regarding MTF tree mortality, create a conceptual framework with testable hypotheses regarding the drivers, mechanisms and interactions that may underlie increasing MTF mortality rates, and identify the next steps for improved understanding and reduced prediction. Increasing mortality rates are associated with rising temperature and vapor pressure deficit, liana abundance, drought, wind events, fire and, possibly, CO</span><sub>2</sub><span>&nbsp;fertilization‐induced increases in stand thinning or acceleration of trees reaching larger, more vulnerable heights. The majority of these mortality drivers may kill trees in part through carbon starvation and hydraulic failure. The relative importance of each driver is unknown. High species diversity may buffer MTFs against large‐scale mortality events, but recent and expected trends in mortality drivers give reason for concern regarding increasing mortality within MTFs. Models of tropical tree mortality are advancing the representation of hydraulics, carbon and demography, but require more empirical knowledge regarding the most common drivers and their subsequent mechanisms. We outline critical datasets and model developments required to test hypotheses regarding the underlying causes of increasing MTF mortality rates, and improve prediction of future mortality under climate change.</span></p>","language":"English","publisher":"New Phytologist Trust","doi":"10.1111/nph.15027","usgsCitation":"McDowell, N.G., Allen, C.D., Anderson‐Teixeira, K., Brando, P.M., Brienen, R., Chambers, J., Christoffersen, B., Davies, S.J., Doughty, C., Duque, A., Espirito-Santo, F., Fisher, R.A., Fontes, C.G., Galbraith, D., Goodsman, D., Grossiord, C., Hartmann, H., Holm, J., Johnson, D., Kassim, A.R., Keller, M., Koven, C., Kueppers, L., Kumagai, T., Malhi, Y., McMahon, S.M., Mencuccini, M., Meir, P., Moorcroft, P.R., Muller-Landau, H.C., Phillips, O.L., Powell, T.M., Sierra, C.A., Sperry, J., Warren, J., Xu, C., and Xu, X., 2018, Drivers and mechanisms of tree mortality in moist tropical forests: New Phytologist, v. 219, no. 3, p. 851-869, https://doi.org/10.1111/nph.15027.","productDescription":"19 p.","startPage":"851","endPage":"869","ipdsId":"IP-092340","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":468535,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/nph.15027","text":"Publisher Index Page"},{"id":357405,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"219","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-16","publicationStatus":"PW","scienceBaseUri":"5bc02fc1e4b0fc368eb53977","contributors":{"authors":[{"text":"McDowell, Nate G.","contributorId":207743,"corporation":false,"usgs":false,"family":"McDowell","given":"Nate","email":"","middleInitial":"G.","affiliations":[{"id":37622,"text":"Earth Systems Science Division, Pacific Northwest National Laboratory","active":true,"usgs":false}],"preferred":false,"id":745098,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":745099,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson‐Teixeira, Kristina","contributorId":207899,"corporation":false,"usgs":false,"family":"Anderson‐Teixeira","given":"Kristina","affiliations":[{"id":37654,"text":"Center for Tropical Forest Science-Forest Global Earth Observatory, Smithsonian Tropical Research Institute, Washington DC, USA","active":true,"usgs":false}],"preferred":false,"id":745101,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brando, Paulo M.","contributorId":167252,"corporation":false,"usgs":false,"family":"Brando","given":"Paulo","email":"","middleInitial":"M.","affiliations":[{"id":24662,"text":"IPAM, Brazil and Stanford Univ.","active":true,"usgs":false}],"preferred":false,"id":745102,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brienen, Roel","contributorId":207925,"corporation":false,"usgs":false,"family":"Brienen","given":"Roel","affiliations":[],"preferred":false,"id":745225,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chambers, Jeff","contributorId":207926,"corporation":false,"usgs":false,"family":"Chambers","given":"Jeff","email":"","affiliations":[],"preferred":false,"id":745226,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Christoffersen, Brad","contributorId":207927,"corporation":false,"usgs":false,"family":"Christoffersen","given":"Brad","email":"","affiliations":[],"preferred":false,"id":745227,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Davies, Stuart J.","contributorId":197819,"corporation":false,"usgs":false,"family":"Davies","given":"Stuart","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":745228,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Doughty, Chris","contributorId":207928,"corporation":false,"usgs":false,"family":"Doughty","given":"Chris","email":"","affiliations":[],"preferred":false,"id":745229,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Duque, Alvaro","contributorId":207929,"corporation":false,"usgs":false,"family":"Duque","given":"Alvaro","email":"","affiliations":[],"preferred":false,"id":745230,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Espirito-Santo, Fernando","contributorId":207930,"corporation":false,"usgs":false,"family":"Espirito-Santo","given":"Fernando","email":"","affiliations":[],"preferred":false,"id":745231,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Fisher, Rosie A.","contributorId":147090,"corporation":false,"usgs":false,"family":"Fisher","given":"Rosie","email":"","middleInitial":"A.","affiliations":[{"id":16785,"text":"National Center for Atmospheric Research, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":745232,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Fontes, Clarissa G.","contributorId":207931,"corporation":false,"usgs":false,"family":"Fontes","given":"Clarissa","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":745233,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Galbraith, David","contributorId":19479,"corporation":false,"usgs":true,"family":"Galbraith","given":"David","affiliations":[],"preferred":false,"id":745234,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Goodsman, Devin","contributorId":207932,"corporation":false,"usgs":false,"family":"Goodsman","given":"Devin","email":"","affiliations":[],"preferred":false,"id":745235,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Grossiord, Charlotte","contributorId":207749,"corporation":false,"usgs":false,"family":"Grossiord","given":"Charlotte","email":"","affiliations":[{"id":37625,"text":"Earth and Environmental Sciences Division, Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":745236,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Hartmann, Henrik","contributorId":181974,"corporation":false,"usgs":false,"family":"Hartmann","given":"Henrik","email":"","affiliations":[],"preferred":false,"id":745237,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Holm, Jennifer","contributorId":207933,"corporation":false,"usgs":false,"family":"Holm","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":745238,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Johnson, Daniel J.","contributorId":71970,"corporation":false,"usgs":true,"family":"Johnson","given":"Daniel J.","affiliations":[],"preferred":false,"id":745239,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Kassim, Abd. Rahman","contributorId":207934,"corporation":false,"usgs":false,"family":"Kassim","given":"Abd.","email":"","middleInitial":"Rahman","affiliations":[],"preferred":false,"id":745240,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Keller, Michael","contributorId":42681,"corporation":false,"usgs":true,"family":"Keller","given":"Michael","email":"","affiliations":[],"preferred":false,"id":745253,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Koven, Charles","contributorId":51143,"corporation":false,"usgs":true,"family":"Koven","given":"Charles","affiliations":[],"preferred":false,"id":745254,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Kueppers, Lara","contributorId":149403,"corporation":false,"usgs":false,"family":"Kueppers","given":"Lara","affiliations":[],"preferred":false,"id":745255,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Kumagai, Tomo’omi","contributorId":207935,"corporation":false,"usgs":false,"family":"Kumagai","given":"Tomo’omi","email":"","affiliations":[],"preferred":false,"id":745256,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Malhi, Yadvinder","contributorId":207936,"corporation":false,"usgs":false,"family":"Malhi","given":"Yadvinder","email":"","affiliations":[],"preferred":false,"id":745257,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"McMahon, Sean M. 0000-0001-8302-6908","orcid":"https://orcid.org/0000-0001-8302-6908","contributorId":197833,"corporation":false,"usgs":false,"family":"McMahon","given":"Sean","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":745258,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Mencuccini, Maurizio","contributorId":199454,"corporation":false,"usgs":false,"family":"Mencuccini","given":"Maurizio","email":"","affiliations":[],"preferred":false,"id":745259,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Meir, Patrick","contributorId":207937,"corporation":false,"usgs":false,"family":"Meir","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":745260,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Moorcroft, Paul R.","contributorId":198134,"corporation":false,"usgs":false,"family":"Moorcroft","given":"Paul","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":745261,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Muller-Landau, Helene C.","contributorId":207938,"corporation":false,"usgs":false,"family":"Muller-Landau","given":"Helene","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":745262,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Phillips, Oliver L.","contributorId":41960,"corporation":false,"usgs":true,"family":"Phillips","given":"Oliver","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":745263,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Powell, Thomas M.","contributorId":173317,"corporation":false,"usgs":false,"family":"Powell","given":"Thomas","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":745264,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Sierra, Carlos A.","contributorId":207167,"corporation":false,"usgs":false,"family":"Sierra","given":"Carlos","email":"","middleInitial":"A.","affiliations":[{"id":37469,"text":"Max Plank Institute of Biogeochemistry, Jena Germany","active":true,"usgs":false}],"preferred":false,"id":745265,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Sperry, John","contributorId":174383,"corporation":false,"usgs":false,"family":"Sperry","given":"John","affiliations":[],"preferred":false,"id":745266,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Warren, Jeff","contributorId":207943,"corporation":false,"usgs":false,"family":"Warren","given":"Jeff","email":"","affiliations":[],"preferred":false,"id":745267,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Xu, Chonggang","contributorId":207944,"corporation":false,"usgs":false,"family":"Xu","given":"Chonggang","email":"","affiliations":[],"preferred":false,"id":745268,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Xu, Xiangtao","contributorId":207945,"corporation":false,"usgs":false,"family":"Xu","given":"Xiangtao","email":"","affiliations":[],"preferred":false,"id":745269,"contributorType":{"id":1,"text":"Authors"},"rank":37}]}}
,{"id":70198677,"text":"70198677 - 2018 - Influencia de factores ambientales y biométricos en la capacidad de nado del barbo ibérico (Luciobarbus bocagei Steindachner, 1864), un ciprínido potamódromo endémico de la Península Ibérica","interactions":[],"lastModifiedDate":"2018-08-15T13:58:06","indexId":"70198677","displayToPublicDate":"2018-08-01T13:57:34","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2619,"text":"Limnetica","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Influencia de factores ambientales y biométricos en la capacidad de nado del barbo ibérico (<i>Luciobarbus bocagei</i> Steindachner, 1864), un ciprínido potamódromo endémico de la Península Ibérica","title":"Influencia de factores ambientales y biométricos en la capacidad de nado del barbo ibérico (Luciobarbus bocagei Steindachner, 1864), un ciprínido potamódromo endémico de la Península Ibérica","docAbstract":"<p>El presente trabajo analiza la capacidad voluntaria de nado del barbo ibérico (<i>Luciobarbus bocagei</i> Steindachner, 1864) en un canal abierto durante su época de migración, relacionándola con factores ambientales y biométricos. La temperatura del agua, la velocidad de flujo y la longitud del pez fueron los factores de mayor importancia que condicionaron la velocidad de nado de los barbos y su tiempo de fatiga. Dentro del rango de valores estudiado, el barbo ibérico pudo mantener velocidades de nado en sprint (&gt; 15 BL/s) durante 3-10 s, y de 17-117 s en el modo de natación prolongada (7-15 BL/s). Los resultados aportados pueden ser empleados como una herramienta útil para la gestión de sus poblaciones, principalmente para el diseño de pasos para peces.</p><p>This paper analyzes the volitional swimming capacity of the Iberian barbel (<i>Luciobarbus bocagei</i> Steindachner, 1864) in an open flume during its migration period, in relation to environmental and biometric factors. Water temperature, flow velocity and fish length were the most important factors which affected the swimming speed of barbels and their fatigue time. Within the range of values studied, the Iberian barbel was able to maintain sprint swim speeds (&gt; 15 BL/s) for 3-10 s, and 17-117 s in prolonged swim mode (7-15 BL/s). The results can be used as a tool for the management of barbel populations, mainly in the design of fishways.</p>","language":"Spanish","publisher":"Asociación Ibérica de Limnología","doi":"10.23818/limn.37.21","usgsCitation":"Ruiz-Legazpi, J., Sanz-Ronda, F., Bravo-Cordoba, F., Fuentes-Perez, J., and Castro-Santos, T.R., 2018, Influencia de factores ambientales y biométricos en la capacidad de nado del barbo ibérico (Luciobarbus bocagei Steindachner, 1864), un ciprínido potamódromo endémico de la Península Ibérica: Limnetica, v. 37, no. 2, p. 251-265, https://doi.org/10.23818/limn.37.21.","productDescription":"15 p.","startPage":"251","endPage":"265","ipdsId":"IP-091479","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":468536,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.23818/limn.37.21","text":"Publisher Index Page"},{"id":356518,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-15","publicationStatus":"PW","scienceBaseUri":"5b98a294e4b0702d0e842f63","contributors":{"authors":[{"text":"Ruiz-Legazpi, Jorge","contributorId":207045,"corporation":false,"usgs":false,"family":"Ruiz-Legazpi","given":"Jorge","email":"","affiliations":[{"id":37437,"text":"Universidad de Valladolid","active":true,"usgs":false}],"preferred":false,"id":742527,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sanz-Ronda, F.J.","contributorId":207046,"corporation":false,"usgs":false,"family":"Sanz-Ronda","given":"F.J.","email":"","affiliations":[{"id":37437,"text":"Universidad de Valladolid","active":true,"usgs":false}],"preferred":false,"id":742528,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bravo-Cordoba, F.J.","contributorId":168520,"corporation":false,"usgs":false,"family":"Bravo-Cordoba","given":"F.J.","affiliations":[{"id":25320,"text":"Universidad de Valladolid, Palencia, Spain","active":true,"usgs":false}],"preferred":false,"id":742529,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuentes-Perez, J.F.","contributorId":168521,"corporation":false,"usgs":false,"family":"Fuentes-Perez","given":"J.F.","email":"","affiliations":[{"id":25320,"text":"Universidad de Valladolid, Palencia, Spain","active":true,"usgs":false}],"preferred":false,"id":742530,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Castro-Santos, Theodore R. 0000-0003-2575-9120 tcastrosantos@usgs.gov","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":3321,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","email":"tcastrosantos@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":742526,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70200453,"text":"70200453 - 2018 - Climate change and future wildfire in the western USA: An ecological approach to nonstationarity","interactions":[],"lastModifiedDate":"2018-10-18T13:51:09","indexId":"70200453","displayToPublicDate":"2018-08-01T13:50:42","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5053,"text":"Earth's Future","active":true,"publicationSubtype":{"id":10}},"title":"Climate change and future wildfire in the western USA: An ecological approach to nonstationarity","docAbstract":"<p><span>We developed ecologically based climate‐fire projections for the western United States. Using a finer ecological classification and fire‐relevant climate predictors, we created statistical models linking climate and wildfire area burned for ecosections, which are geographic delineations based on biophysical variables. The results indicate a gradient from purely fuel‐limited (antecedent positive water balance anomalies or negative energy balance anomalies) to purely flammability‐limited (negative water balance anomalies or positive energy balance anomalies) fire regimes across ecosections. Although there are other influences (such as human ignitions and management) on fire occurrence and area burned, seasonal climate significantly explains interannual fire area burned. Differences in the role of climate across ecosections are not random, and the relative dominance of climate predictors allows objective classification of ecosection climate‐fire relationships. Expected future trends in area burned range from massive increases, primarily in flammability limited systems near the middle of the water balance deficit distribution, to substantial decreases, in fuel‐limited nonforested systems. We predict increasing area burned in most flammability‐limited systems but predict decreasing area burned in primarily fuel‐limited systems with a flammability‐limited (“hybrid”) component. Compared to 2030–2059 (2040s), projected area burned for 2070–2099 (2080s) increases much more in the flammability and flammability‐dominated hybrid systems than those with equal control and continues to decrease in fuel‐limited hybrid systems. Exceedance probabilities for historical 95th percentile fire years are larger in exclusively flammability‐limited ecosections than in those with fuel controls. Filtering the projected results using a fire‐rotation constraint minimizes overprojection due to static vegetation assumptions, making projections more conservative.</span></p>","language":"English","publisher":"AGU","doi":"10.1029/2018EF000878","usgsCitation":"Littell, J.S., McKenzie, D., Wan, H.Y., and Cushman, S.A., 2018, Climate change and future wildfire in the western USA: An ecological approach to nonstationarity: Earth's Future, v. 6, no. 8, p. 1097-1111, https://doi.org/10.1029/2018EF000878.","productDescription":"15 p.","startPage":"1097","endPage":"1111","ipdsId":"IP-097140","costCenters":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"links":[{"id":468537,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018ef000878","text":"Publisher Index Page"},{"id":358539,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"6","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-18","publicationStatus":"PW","scienceBaseUri":"5c10a970e4b034bf6a7e51ca","contributors":{"authors":[{"text":"Littell, Jeremy S. 0000-0002-5302-8280 jlittell@usgs.gov","orcid":"https://orcid.org/0000-0002-5302-8280","contributorId":4428,"corporation":false,"usgs":true,"family":"Littell","given":"Jeremy","email":"jlittell@usgs.gov","middleInitial":"S.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":748942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKenzie, Donald","contributorId":181509,"corporation":false,"usgs":false,"family":"McKenzie","given":"Donald","affiliations":[],"preferred":false,"id":748943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wan, Ho Yi","contributorId":209843,"corporation":false,"usgs":false,"family":"Wan","given":"Ho","email":"","middleInitial":"Yi","affiliations":[{"id":38007,"text":"3Northern Arizona University,  School of Earth Sciences and Environmental Sustainability","active":true,"usgs":false}],"preferred":false,"id":748944,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cushman, Samuel A.","contributorId":209844,"corporation":false,"usgs":false,"family":"Cushman","given":"Samuel","email":"","middleInitial":"A.","affiliations":[{"id":38008,"text":"US Department of Agriculture Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":748945,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70199411,"text":"70199411 - 2018 - Applying recreation ecology science to sustainably manage camping impacts:  A classification of camping management strategies","interactions":[],"lastModifiedDate":"2018-09-17T13:49:45","indexId":"70199411","displayToPublicDate":"2018-08-01T13:49:29","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2082,"text":"International Journal of Wilderness","active":true,"publicationSubtype":{"id":10}},"title":"Applying recreation ecology science to sustainably manage camping impacts:  A classification of camping management strategies","docAbstract":"<p><span>Wilderness and other protected natural areas such as national forests, parks, and refuges are managed to provide high-quality recreational opportunities while preserving natural resource conditions. In managing recreation visitation, land managers could allow visitors to create their own infrastructure of trails and campsites, or they could choose to apply an impact management strategy to provide an infrastructure that includes sustainably designed trails and campsites. Recreation ecology studies have repeatedly demonstrated that informal “visitor-created” trails and campsites are generally not sustainably designed or located (Cole 1981, 1982a, 2013; Marion 2016; Wimpey and Marion 2011). For example, informal trails frequently occur in flat terrain where trail widening and muddiness can be chronic problems, or are fall-aligned (perpendicular to contour lines) in sloping terrain, where they are considerably more vulnerable to soil loss and widening (Marion et al. 2016; Marion and Wimpey 2017). Similarly, visitors are highly attracted to flat terrain near water for camping, where they frequently create substantial numbers of large and unnecessary campsites at densities that threaten visitor solitude, experiential qualities, and natural resources.</span></p>","language":"English","publisher":"WILD Foundation","usgsCitation":"Marion, J.L., Arredondo, J., Wimpey, J., and Meadema, F., 2018, Applying recreation ecology science to sustainably manage camping impacts:  A classification of camping management strategies: International Journal of Wilderness, v. 24, no. 2, p. 1-12.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-098660","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":357399,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":357377,"type":{"id":15,"text":"Index Page"},"url":"https://ijw.org/2018-applying-recreation-ecology-science-to-sustainably-manage-camping-impacts/"}],"volume":"24","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc02fc1e4b0fc368eb53979","contributors":{"authors":[{"text":"Marion, Jeffrey L. 0000-0003-2226-689X jeff_marion@usgs.gov","orcid":"https://orcid.org/0000-0003-2226-689X","contributorId":3614,"corporation":false,"usgs":true,"family":"Marion","given":"Jeffrey","email":"jeff_marion@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":745165,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arredondo, Johanna","contributorId":192143,"corporation":false,"usgs":false,"family":"Arredondo","given":"Johanna","affiliations":[],"preferred":false,"id":745166,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wimpey, Jeremy","contributorId":189354,"corporation":false,"usgs":false,"family":"Wimpey","given":"Jeremy","affiliations":[],"preferred":false,"id":745167,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meadema, Fletcher","contributorId":207912,"corporation":false,"usgs":false,"family":"Meadema","given":"Fletcher","affiliations":[{"id":37662,"text":"Virginia Tech Master's student","active":true,"usgs":false}],"preferred":false,"id":745168,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70199940,"text":"70199940 - 2018 - Assessing and communicating the impacts of climate change on the Southern California coast","interactions":[],"lastModifiedDate":"2018-10-18T10:19:23","indexId":"70199940","displayToPublicDate":"2018-08-01T13:48:53","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesNumber":"CCCA4-CNRA-2018-013","title":"Assessing and communicating the impacts of climate change on the Southern California coast","docAbstract":"<p>Over the course of this and the next century, the combination of rising sea levels, severe storms, and coastal erosion will threaten the sustainability of coastal communities, development, and ecosystems as we currently know them. To clearly identify coastal vulnerabilities and develop appropriate adaptation strategies for projected increased levels of coastal flooding and erosion, coastal managers need user-friendly planning tools based on the best available climate and coastal science. In anticipation of these climate change impacts, many communities are in the early stages of climate change adaptation planning but lack the scientific information and tools to adequately address the potential impacts. In collaboration with leading scientists worldwide, the USGS designed the Coastal Storm Modeling System (CoSMoS) to assess the coastal impacts of climate change for the California coast, including the combination of sea level rise, storms, and coastal change. In this project, we directly address the needs of coastal resource managers in Southern California by integrating a vast range of global climate change projections and translate that information using sophisticated physical process models into planning-scale physical, ecological, and economic exposure, shoreline change, and impact assessments, all delivered in two simple, user-friendly, online tools. Our results show that by the end of the 21st century, over 250,000 residents and nearly $40 billion in building value across Southern California could be exposed to coastal flooding from storms, sea level rise, and coastal change. Results for the other major population center in California (the greater San Francisco Bay Area) are also available but not explicitly discussed in this report. Together, CoSMoS has now assessed the exposure of 95% of the 26 million coastal residents of the State (17 million in Southern California).</p>","language":"English","publisher":"California Natural Resources Agency","usgsCitation":"Erikson, L.H., Barnard, P., O'Neill, A., Limber, P., Vitousek, S., Finzi Hart, J., Hayden, M., Jones, J.M., Wood, N.J., Fitzgibbon, M., Foxgrover, A.C., and Lovering, J., 2018, Assessing and communicating the impacts of climate change on the Southern California coast, vi, 65 p.","productDescription":"vi, 65 p.","numberOfPages":"76","ipdsId":"IP-099673","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":358490,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":358489,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.climateassessment.ca.gov/techreports/docs/20180827-Ocean_CCCA4-CNRA-2018-013.pdf"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.7781982421875,\n              32.537551746769\n            ],\n            [\n              -117.02636718749999,\n              32.537551746769\n            ],\n            [\n              -117.02636718749999,\n              34.67387626588273\n            ],\n            [\n              -120.7781982421875,\n              34.67387626588273\n            ],\n            [\n              -120.7781982421875,\n              32.537551746769\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a970e4b034bf6a7e51cc","contributors":{"authors":[{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":747393,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":747394,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O'Neill, Andrea C. 0000-0003-1656-4372 aoneill@usgs.gov","orcid":"https://orcid.org/0000-0003-1656-4372","contributorId":5351,"corporation":false,"usgs":true,"family":"O'Neill","given":"Andrea C.","email":"aoneill@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":747395,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Limber, Patrick 0000-0002-8207-3750","orcid":"https://orcid.org/0000-0002-8207-3750","contributorId":208487,"corporation":false,"usgs":false,"family":"Limber","given":"Patrick","affiliations":[{"id":37804,"text":"University of South Carolina","active":true,"usgs":false}],"preferred":false,"id":747396,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vitousek, Sean","contributorId":190192,"corporation":false,"usgs":false,"family":"Vitousek","given":"Sean","affiliations":[],"preferred":false,"id":747397,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Finzi Hart, Juliette 0000-0003-3179-2699","orcid":"https://orcid.org/0000-0003-3179-2699","contributorId":206104,"corporation":false,"usgs":true,"family":"Finzi Hart","given":"Juliette","email":"","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":747398,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hayden, Maya","contributorId":206106,"corporation":false,"usgs":false,"family":"Hayden","given":"Maya","affiliations":[{"id":37247,"text":"Point Blue Conservation","active":true,"usgs":false}],"preferred":false,"id":747399,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jones, Jeanne M. 0000-0001-7549-9270 jmjones@usgs.gov","orcid":"https://orcid.org/0000-0001-7549-9270","contributorId":4676,"corporation":false,"usgs":true,"family":"Jones","given":"Jeanne","email":"jmjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":747400,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wood, Nathan J. 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":3347,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","middleInitial":"J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":747401,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Fitzgibbon, Michael","contributorId":206105,"corporation":false,"usgs":false,"family":"Fitzgibbon","given":"Michael","email":"","affiliations":[{"id":37247,"text":"Point Blue Conservation","active":true,"usgs":false}],"preferred":false,"id":747402,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Foxgrover, Amy C. 0000-0003-0638-5776 afoxgrover@usgs.gov","orcid":"https://orcid.org/0000-0003-0638-5776","contributorId":3261,"corporation":false,"usgs":true,"family":"Foxgrover","given":"Amy","email":"afoxgrover@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":747403,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lovering, Jessica 0000-0002-0705-9633","orcid":"https://orcid.org/0000-0002-0705-9633","contributorId":204726,"corporation":false,"usgs":true,"family":"Lovering","given":"Jessica","email":"","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":747404,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70198914,"text":"70198914 - 2018 - National Park Service and the USA National Phenology Network","interactions":[],"lastModifiedDate":"2018-08-30T13:41:09","indexId":"70198914","displayToPublicDate":"2018-08-01T13:41:04","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"National Park Service and the USA National Phenology Network","docAbstract":"Understanding the seasonal cycles of plants and animals, how\nthey are changing, and how they can inform management,\noperations, and interpretation is critical to the mission of the\nNational Park Service (NPS): to preserve unimpaired the natural\nand cultural resources and values of the National Park System\nfor the enjoyment, education, and inspiration of this and future\ngenerations.","language":"English","publisher":"USA National Phenology Network","usgsCitation":"Weltzin, J., Crimmins, T.M., Posthumus, E.E., and Rosemartin, A., 2018, National Park Service and the USA National Phenology Network, 2 p.","productDescription":"2 p.","ipdsId":"IP-095356","costCenters":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"links":[{"id":356963,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":356744,"type":{"id":11,"text":"Document"},"url":"https://usanpn.org/files/shared/nps-2018.pdf"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a294e4b0702d0e842f65","contributors":{"authors":[{"text":"Weltzin, Jake 0000-0001-8641-6645 jweltzin@usgs.gov","orcid":"https://orcid.org/0000-0001-8641-6645","contributorId":196323,"corporation":false,"usgs":true,"family":"Weltzin","given":"Jake","email":"jweltzin@usgs.gov","affiliations":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":743398,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crimmins, Theresa M.","contributorId":178236,"corporation":false,"usgs":false,"family":"Crimmins","given":"Theresa","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":743399,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Posthumus, Erin E. 0000-0003-3855-2380","orcid":"https://orcid.org/0000-0003-3855-2380","contributorId":204418,"corporation":false,"usgs":false,"family":"Posthumus","given":"Erin","email":"","middleInitial":"E.","affiliations":[{"id":40537,"text":"USA National Phenology Network, National Coordinating Office; University of Arizona, School of Natural Resources and the Environment","active":true,"usgs":false}],"preferred":false,"id":743400,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosemartin, Alyssa","contributorId":175226,"corporation":false,"usgs":false,"family":"Rosemartin","given":"Alyssa","affiliations":[],"preferred":false,"id":743401,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70198632,"text":"70198632 - 2018 - Gas emissions, tars, and secondary minerals at the Ruth Mullins and Tiptop coal mine fires","interactions":[],"lastModifiedDate":"2018-08-14T13:33:07","indexId":"70198632","displayToPublicDate":"2018-08-01T13:33:02","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Gas emissions, tars, and secondary minerals at the Ruth Mullins and Tiptop coal mine fires","docAbstract":"<p><span>Both the Tiptop and Ruth Mullins&nbsp;coal&nbsp;fires, Kentucky, were reinvestigated in 2009 and 2010. The Tiptop fire was not as active in 2009 and may have been on the path to&nbsp;burning&nbsp;out at the time of the 2009 visit. The Ruth Mullins&nbsp;coal mine&nbsp;fire, Perry County, Kentucky, has been the subject of several field investigations, including November 2009–February 2010 investigations in which we measured gas emissions, collected minerals and tars, and characterized the nature of the fire. Vents exhibiting the greatest gas flux (&gt;100,000 mg/s/m</span><sup>2</sup><span>) are those with the largest amount of condensate minerals and tars. Vents with moderate gas flux (10,000–100,000 mg/s/m</span><sup>2</sup><span>) are less likely to contain condensate minerals, but are collocated with tars, and vents with the lowest flux (&lt;10,000 mg/s/m</span><sup>2</sup><span>) generally lack both minerals and tars. Aliphatic hydrocarbons present in the gases include C1-C9 compounds, and aromatics include BTEX compounds. Diffuse-CO</span><sub>2</sub><span>emissions are concentrated along the&nbsp;fracture zones&nbsp;overlying&nbsp;abandoned mine&nbsp;works. The area of peak diffuse flux corresponds to the trend of the collapsed portal that forms vent 5. The greatest vent emissions were also recorded at vent 5. The snow-melt zone mapped in January 2010 overlies the areas of peak diffuse-CO</span><sub>2</sub><span>&nbsp;emissions measured in November; together they delineate the zone of active combustion. Comparison of&nbsp;greenhouse gas emissions&nbsp;from the two sources shows that vent emissions exceed diffuse emissions. The highly fractured, quartz-cemented roof rock funnels the majority of emissions toward the vents. Significant decreases are seen in estimates of yearly&nbsp;greenhouse&nbsp;emissions based on data gathered from November 2009 to February 2010, with estimates from November significantly exceeding any previously published estimates. For example, September 2009 estimates from vent 3 alone indicated that 19 ± 7.5 T CO</span><sub>2</sub><span>/yr were emitted while the November 2009 estimates were 1800 ± 690 T/yr.&nbsp;Barometric pressure&nbsp;was lower in November than September. This implies that there are many factors influencing the seasonal variations in fire emissions and that more frequent monitoring will be necessary to derive accurate estimates of coal fires' contribution to the&nbsp;carbon budget.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2018.06.012","usgsCitation":"O’Keefe, J.M., Neace, E.R., Hammond, M.L., Hower, J., Engle, M.A., East, J.A., Geboy, N., Olea, R.A., Henke, K., Copley, G.C., Lemley, E.W., Hatch Nally, R.S., Hansen, A.E., Richardson, A.R., Satterwhite, A.B., Stracher, G.B., Radke, L.F., Smeltzer, C., Romanek, C., Blake, D.R., Schroeder, P.A., Emsbo-Mattingly, S.D., and Stout, S.A., 2018, Gas emissions, tars, and secondary minerals at the Ruth Mullins and Tiptop coal mine fires: International Journal of Coal Geology, v. 195, p. 304-316, https://doi.org/10.1016/j.coal.2018.06.012.","productDescription":"13 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