{"pageNumber":"361","pageRowStart":"9000","pageSize":"25","recordCount":68867,"records":[{"id":70192041,"text":"70192041 - 2018 - Research note: Mapping spatial patterns in sewer age, material, and proximity to surface waterways to infer sewer leakage hotspots","interactions":[],"lastModifiedDate":"2017-12-11T13:31:28","indexId":"70192041","displayToPublicDate":"2017-10-24T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2603,"text":"Landscape and Urban Planning","active":true,"publicationSubtype":{"id":10}},"title":"Research note: Mapping spatial patterns in sewer age, material, and proximity to surface waterways to infer sewer leakage hotspots","docAbstract":"<p><span>Identifying areas where deteriorating sewer infrastructure is in close proximity to surface waterways is needed to map likely connections between sewers and streams. We present a method to estimate sewer installation year and deterioration status using historical maps of the sewer network, parcel-scale property assessment data, and pipe material. Areas where streams were likely buried into the sewer system were mapped by intersecting the historical stream network derived from a 10-m resolution digital elevation model with sewer pipe locations. Potential sewer leakage hotspots were mapped by identifying where aging sewer pipes are in close proximity (50-m) to surface waterways. Results from Pittsburgh, Pennsylvania (USA), indicated 41% of the historical stream length was lost or buried and the potential interface between sewers and streams is great. The co-location of aging sewer infrastructure (&gt;75</span><span>&nbsp;</span><span>years old) near stream channels suggests that 42% of existing streams are located in areas with a high potential for sewer leakage if sewer infrastructure fails. Mapping the sewer-stream interface provides an approach to better understand areas were failing sewers may contribute a disproportional amount of nutrients and other pathogens to surface waterways.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.landurbplan.2017.04.011","usgsCitation":"Hopkins, K.G., and Bain, D., 2018, Research note: Mapping spatial patterns in sewer age, material, and proximity to surface waterways to infer sewer leakage hotspots: Landscape and Urban Planning, v. 170, p. 320-324, https://doi.org/10.1016/j.landurbplan.2017.04.011.","productDescription":"5 p.","startPage":"320","endPage":"324","ipdsId":"IP-077253","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":469179,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.landurbplan.2017.04.011","text":"Publisher Index Page"},{"id":347268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","county":" Allegheny County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-80.1496,40.6758],[-80.1059,40.6754],[-80.058,40.6755],[-79.9931,40.674],[-79.9901,40.675],[-79.9858,40.6742],[-79.964,40.6728],[-79.9149,40.6737],[-79.9021,40.6731],[-79.8797,40.6726],[-79.8652,40.6728],[-79.8512,40.6726],[-79.8427,40.6724],[-79.8293,40.6712],[-79.8136,40.6724],[-79.8003,40.6722],[-79.7978,40.6723],[-79.7499,40.6699],[-79.7238,40.6691],[-79.708,40.6684],[-79.6995,40.6686],[-79.6929,40.6696],[-79.6929,40.6687],[-79.6935,40.6682],[-79.6946,40.6668],[-79.6957,40.6632],[-79.6957,40.6618],[-79.6944,40.6591],[-79.6931,40.6569],[-79.6925,40.656],[-79.6912,40.6537],[-79.6905,40.6524],[-79.6899,40.6501],[-79.6892,40.6488],[-79.6891,40.6451],[-79.6897,40.6438],[-79.6908,40.6406],[-79.6919,40.6378],[-79.6925,40.6374],[-79.696,40.6337],[-79.6966,40.6328],[-79.6972,40.6319],[-79.6978,40.6309],[-79.6995,40.6291],[-79.7061,40.6254],[-79.709,40.6235],[-79.7114,40.6221],[-79.7132,40.6202],[-79.7149,40.6175],[-79.7155,40.6166],[-79.7166,40.6147],[-79.7178,40.6129],[-79.7237,40.6073],[-79.732,40.6036],[-79.7332,40.6031],[-79.7344,40.6026],[-79.7356,40.6021],[-79.7368,40.6017],[-79.7458,40.5997],[-79.7476,40.5992],[-79.75,40.5987],[-79.7512,40.5982],[-79.7614,40.5944],[-79.7638,40.593],[-79.7644,40.5926],[-79.7656,40.5916],[-79.7662,40.5912],[-79.7708,40.5861],[-79.7714,40.5852],[-79.7725,40.5824],[-79.7731,40.5806],[-79.7737,40.5793],[-79.7736,40.5783],[-79.7741,40.5751],[-79.774,40.5702],[-79.7739,40.5693],[-79.7732,40.567],[-79.7726,40.5652],[-79.77,40.5603],[-79.7687,40.558],[-79.7648,40.5499],[-79.7607,40.5513],[-79.7522,40.5515],[-79.7413,40.5503],[-79.7406,40.5503],[-79.7376,40.5495],[-79.7352,40.5486],[-79.7345,40.5482],[-79.7302,40.546],[-79.7216,40.5411],[-79.7067,40.5296],[-79.7061,40.5287],[-79.7055,40.5278],[-79.7046,40.5201],[-79.7022,40.5002],[-79.7021,40.4789],[-79.7029,40.4653],[-79.7041,40.4439],[-79.7041,40.4262],[-79.7183,40.4156],[-79.7273,40.4131],[-79.7314,40.4103],[-79.7325,40.4058],[-79.7372,40.4002],[-79.7389,40.397],[-79.7437,40.3965],[-79.7455,40.3956],[-79.7495,40.391],[-79.7543,40.3886],[-79.7598,40.3903],[-79.7628,40.3912],[-79.7628,40.3889],[-79.765,40.3848],[-79.7662,40.3829],[-79.7704,40.3824],[-79.7744,40.3578],[-79.7856,40.31],[-79.7871,40.3009],[-79.7876,40.2977],[-79.7858,40.2969],[-79.7852,40.2964],[-79.7765,40.2898],[-79.7759,40.2889],[-79.7752,40.2871],[-79.7752,40.2862],[-79.7763,40.2848],[-79.7775,40.2839],[-79.7781,40.2834],[-79.7787,40.2829],[-79.7799,40.2825],[-79.7811,40.282],[-79.7823,40.282],[-79.7889,40.2823],[-79.7919,40.2822],[-79.7925,40.2822],[-79.7943,40.2817],[-79.7966,40.279],[-79.7966,40.2772],[-79.7965,40.2758],[-79.7927,40.2695],[-79.7902,40.2668],[-79.7896,40.2659],[-79.7884,40.2646],[-79.7883,40.2619],[-79.7888,40.2601],[-79.7894,40.2596],[-79.7917,40.2578],[-79.7923,40.2573],[-79.7987,40.2477],[-79.8009,40.244],[-79.8068,40.2384],[-79.8054,40.233],[-79.7993,40.2304],[-79.7848,40.2284],[-79.7991,40.2227],[-79.8187,40.216],[-79.8402,40.2083],[-79.864,40.1997],[-79.8711,40.1973],[-79.8765,40.1972],[-79.8867,40.1961],[-79.8903,40.196],[-79.8951,40.1955],[-79.9091,40.1984],[-79.9164,40.201],[-79.9201,40.2032],[-79.9359,40.2088],[-79.9414,40.21],[-79.9585,40.2165],[-79.9646,40.2205],[-79.9678,40.2249],[-79.9709,40.229],[-79.9704,40.2317],[-79.9699,40.2344],[-79.9617,40.2396],[-79.9521,40.2411],[-79.9455,40.2417],[-79.9335,40.2438],[-79.9269,40.2453],[-79.924,40.2476],[-79.9157,40.2532],[-79.9377,40.2605],[-79.9706,40.2703],[-79.9992,40.2788],[-80.0339,40.2894],[-80.0406,40.2911],[-80.0736,40.3018],[-80.0802,40.303],[-80.0985,40.3085],[-80.1815,40.3344],[-80.1965,40.3464],[-80.2295,40.3733],[-80.2469,40.387],[-80.2769,40.4131],[-80.315,40.4445],[-80.3587,40.4798],[-80.3417,40.4929],[-80.3323,40.4999],[-80.2976,40.5252],[-80.2811,40.5365],[-80.2682,40.5454],[-80.2576,40.5529],[-80.2505,40.558],[-80.234,40.5692],[-80.2287,40.573],[-80.2264,40.5758],[-80.2205,40.5818],[-80.2176,40.5837],[-80.2152,40.5837],[-80.211,40.5847],[-80.2104,40.5856],[-80.2093,40.5879],[-80.2057,40.5907],[-80.201,40.594],[-80.1963,40.5968],[-80.1909,40.5997],[-80.1886,40.6011],[-80.1856,40.603],[-80.1839,40.6066],[-80.1822,40.6089],[-80.1786,40.6104],[-80.1738,40.61],[-80.1659,40.6093],[-80.1641,40.6097],[-80.1635,40.6107],[-80.1605,40.6116],[-80.1545,40.6122],[-80.1527,40.6136],[-80.1503,40.6146],[-80.1461,40.616],[-80.1486,40.6496],[-80.1494,40.6704],[-80.1496,40.6758]]]},\"properties\":{\"name\":\"Allegheny\",\"state\":\"PA\"}}]}","volume":"170","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f0511fe4b0220bbd9a1d6c","contributors":{"authors":[{"text":"Hopkins, Kristina G. 0000-0003-1699-9384 khopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1699-9384","contributorId":195604,"corporation":false,"usgs":true,"family":"Hopkins","given":"Kristina","email":"khopkins@usgs.gov","middleInitial":"G.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":713958,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bain, Daniel J.","contributorId":29276,"corporation":false,"usgs":true,"family":"Bain","given":"Daniel J.","affiliations":[],"preferred":false,"id":713959,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192227,"text":"70192227 - 2018 - Coherence between coastal and river flooding along the California coast","interactions":[],"lastModifiedDate":"2018-03-12T13:23:26","indexId":"70192227","displayToPublicDate":"2017-10-24T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Coherence between coastal and river flooding along the California coast","docAbstract":"<p><span>Water levels around river mouths are intrinsically determined by sea level and river discharge. If storm-associated coastal water-level anomalies coincide with extreme river discharge, landscapes near river mouths will be flooded by the hydrodynamic interactions of these two water masses. Unfortunately, the temporal relationships between ocean and river water masses are not well understood. The coherence between extreme river discharge and coastal water levels at six California river mouths across different climatic and geographic regions was examined. Data from river gauges, wave buoys, and tide gauges from 2007 to 2014 were integrated to investigate the relationships between extreme river discharge and coastal water levels near the mouths of the Eel, Russian, San Lorenzo, Ventura, Arroyo Trabuco, and San Diego rivers. Results indicate that mean and extreme coastal water levels during extreme river discharge are significantly higher compared with background conditions. Elevated coastal water levels result from the combination of nontidal residuals (NTRs) and wave setups. Mean and extreme (&gt;99th percentile of observations) NTRs are 3–20 cm and ∼30 cm higher during extreme river discharge conditions, respectively. Mean and extreme wave setups are up to 40 cm and ∼20–90 cm higher during extreme river discharge than typical conditions, respectively. These water-level anomalies were generally greatest for the northern rivers and least for the southern rivers. Time-series comparisons suggest that increases in NTRs are largely coherent with extreme river discharge, owing to the low atmospheric pressure systems associated with storms. The potential flooding risks of the concurrent timing of these water masses are tempered by the mixed, semidiurnal tides of the region that have amplitudes of 2–2.5 m. In summary, flooding hazard assessments for floodplains near California river mouths for current or future conditions with sea-level rise should include the temporal coherence of fluvial and oceanic water levels.</span></p>","language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/JCOASTRES-D-16-00226.1","usgsCitation":"Odigie, K.O., and Warrick, J.A., 2018, Coherence between coastal and river flooding along the California coast: Journal of Coastal Research, v. 34, no. 2, p. 308-317, https://doi.org/10.2112/JCOASTRES-D-16-00226.1.","productDescription":"10 p.","startPage":"308","endPage":"317","ipdsId":"IP-084158","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469178,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/5065674c","text":"External Repository"},{"id":347226,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","volume":"34","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f0511fe4b0220bbd9a1d66","contributors":{"authors":[{"text":"Odigie, Kingsley O.","contributorId":198037,"corporation":false,"usgs":false,"family":"Odigie","given":"Kingsley","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":714880,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":167736,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan","email":"jwarrick@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":714879,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192138,"text":"70192138 - 2018 - Groundwater development stress: Global-scale indices compared to regional modeling","interactions":[],"lastModifiedDate":"2018-09-12T16:08:09","indexId":"70192138","displayToPublicDate":"2017-10-23T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater development stress: Global-scale indices compared to regional modeling","docAbstract":"<p><span>The increased availability of global datasets and technologies such as global hydrologic models and the Gravity Recovery and Climate Experiment (GRACE) satellites have resulted in a growing number of global-scale assessments of water availability using simple indices of water stress. Developed initially for surface water, such indices are increasingly used to evaluate global groundwater resources. We compare indices of groundwater development stress for three major agricultural areas of the United States to information available from regional water budgets developed from detailed groundwater modeling. These comparisons illustrate the potential value of regional-scale analyses to supplement global hydrological models and GRACE analyses of groundwater depletion. Regional-scale analyses allow assessments of water stress that better account for scale effects, the dynamics of groundwater flow systems, the complexities of irrigated agricultural systems, and the laws, regulations, engineering, and socioeconomic factors that govern groundwater use. Strategic use of regional-scale models with global-scale analyses would greatly enhance knowledge of the global groundwater depletion problem.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12578","usgsCitation":"Alley, W., Clark, B.R., Ely, M., and Faunt, C., 2018, Groundwater development stress: Global-scale indices compared to regional modeling: Groundwater, v. 56, no. 2, p. 266-275, https://doi.org/10.1111/gwat.12578.","productDescription":"10 p.","startPage":"266","endPage":"275","ipdsId":"IP-088279","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":347137,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-15","publicationStatus":"PW","scienceBaseUri":"59eeffa2e4b0220bbd988f5a","contributors":{"authors":[{"text":"Alley, William 0000-0001-7286-3938 walley@usgs.gov","orcid":"https://orcid.org/0000-0001-7286-3938","contributorId":140175,"corporation":false,"usgs":true,"family":"Alley","given":"William","email":"walley@usgs.gov","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":714370,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Brian R. 0000-0001-6611-3807 brclark@usgs.gov","orcid":"https://orcid.org/0000-0001-6611-3807","contributorId":1502,"corporation":false,"usgs":true,"family":"Clark","given":"Brian","email":"brclark@usgs.gov","middleInitial":"R.","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":true,"id":714371,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ely, Matt 0000-0003-3190-2907 mely@usgs.gov","orcid":"https://orcid.org/0000-0003-3190-2907","contributorId":1641,"corporation":false,"usgs":true,"family":"Ely","given":"Matt","email":"mely@usgs.gov","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":714373,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Faunt, Claudia C. 0000-0001-5659-7529 ccfaunt@usgs.gov","orcid":"https://orcid.org/0000-0001-5659-7529","contributorId":150147,"corporation":false,"usgs":true,"family":"Faunt","given":"Claudia C.","email":"ccfaunt@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":714372,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70191342,"text":"70191342 - 2018 - Variation in fish mercury concentrations in streams of the Adirondack region, New York: A simplified screening approach using chemical metrics","interactions":[],"lastModifiedDate":"2017-10-05T15:51:07","indexId":"70191342","displayToPublicDate":"2017-10-05T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Variation in fish mercury concentrations in streams of the Adirondack region, New York: A simplified screening approach using chemical metrics","docAbstract":"<p><span>Simple screening approaches for the neurotoxicant methylmercury (MeHg) in aquatic ecosystems may be helpful in risk assessments of natural resources. We explored the development of such an approach in the Adirondack Mountains of New York, USA, a region with high levels of MeHg bioaccumulation. Thirty-six perennial streams broadly representative of 1st and 2nd order streams in the region were sampled during summer low flow&nbsp;and analyzed for several solutes and for Hg concentrations in fish. Several landscape and chemical metrics that are typically strongly related to MeHg concentrations in aquatic biota were explored for strength of association with fish Hg concentrations. Data analyses were based on site mean length-normalized and standardized Hg concentrations (assumed to be dominantly MeHg) in whole juvenile and adult Brook Trout&nbsp;</span><span>Salvelinus<i><span> fontinalis</span></i></span><span>, Creek Chub<span>&nbsp;</span></span><i>Semotilus atromaculatus</i><span>, Blacknose Dace<span>&nbsp;</span></span><i>Rhinichthys atratulus</i><span>, and Central Mudminnow<span>&nbsp;</span></span><i>Umbra limi</i><span>, as well as on multi-species z-scores. Surprisingly, none of the landscape metrics was related significantly to regional variation in fish Hg concentrations or to z-scores across the study streams. In contrast, several chemical metrics including dissolved organic carbon (DOC) concentrations,<span> sulfate</span><span>&nbsp;</span>concentrations (SO</span><sub>4</sub><sup>2−</sup><span>), pH, ultra-violet absorbance (UV</span><sub>254</sub><span>), and specific ultra-violet absorbance were significantly related to regional variation in fish Hg concentrations. A cluster analysis based on DOC, SO</span><sub>4</sub><sup>2−</sup><span>, and pH identified three distinct groups of streams: (1) high DOC, acidic streams, (2) moderate DOC, slightly acidic streams, and (3) low DOC circum-neutral streams with relatively high SO</span><sub>4</sub><sup>2−</sup><span>. Preliminary analysis indicated no significant difference in fish Hg z-scores between the moderate and high DOC groups, so these were combined for further analysis. The resulting two groups showed strong differences (p</span><span>&nbsp;</span><span>&lt;</span><span>&nbsp;</span><span>0.001) in DOC and SO</span><sub>4</sub><sup>2−</sup><span>concentrations as well as in pH and UV</span><sub>254</sub><span><span>&nbsp;</span>values. Median fish z-scores were significantly higher (p</span><span>&nbsp;</span><span>=</span><span>&nbsp;</span><span>0.002) in the group of streams with higher DOC and UV</span><sub>254</sub><span><span>&nbsp;</span>and lower pH and SO</span><sub>4</sub><sup>2−</sup><span>. Screening values of DOC &gt;6.9</span><span>&nbsp;</span><span>mg/L, SO</span><sub>4</sub><sup>2−</sup><span><span>&nbsp;</span>&lt;2.8</span><span>&nbsp;</span><span>mg/L, pH &lt;6.6, and UV</span><sub>254</sub><span>&gt;0.31</span><span>&nbsp;</span><span>cm</span><sup>−1</sup><span><span>&nbsp;</span>were tested as thresholds to identify Adirondack stream sites likely to have higher fish Hg concentrations. By applying a combined threshold of exceedance for either pH or UV</span><sub>254</sub><span>, sites with fish Hg concentrations that exceeded a wildlife guideline of 100</span><span>&nbsp;</span><span>ng/g were correctly identified about 75% of the time among the 36 study streams. An estimate of Hg risk applied to a data set of 391 streams based on DOC concentrations showed that about 28% were likely to pose high risk to wildlife; most of these streams were located in the western Adirondacks.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2017.09.031","usgsCitation":"Burns, D.A., and Riva-Murray, K., 2018, Variation in fish mercury concentrations in streams of the Adirondack region, New York: A simplified screening approach using chemical metrics: Ecological Indicators, v. 84, p. 648-661, https://doi.org/10.1016/j.ecolind.2017.09.031.","productDescription":"14 p.","startPage":"648","endPage":"661","ipdsId":"IP-086048","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":469187,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2017.09.031","text":"Publisher Index Page"},{"id":346436,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.4376220703125,\n              42.99661231842139\n            ],\n            [\n              -73.3172607421875,\n              42.99661231842139\n            ],\n            [\n              -73.3172607421875,\n              44.89090425391711\n            ],\n            [\n              -75.4376220703125,\n              44.89090425391711\n            ],\n            [\n              -75.4376220703125,\n              42.99661231842139\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"84","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59d74496e4b05fe04cc7e2d4","contributors":{"authors":[{"text":"Burns, Douglas A. 0000-0001-6516-2869 daburns@usgs.gov","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":1237,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas","email":"daburns@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712011,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Riva-Murray, Karen krmurray@usgs.gov","contributorId":168654,"corporation":false,"usgs":true,"family":"Riva-Murray","given":"Karen","email":"krmurray@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":712012,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70195045,"text":"70195045 - 2018 - Conversion of wet glass to melt at lower seismogenic zone conditions: Implications for pseudotachylyte creep","interactions":[],"lastModifiedDate":"2018-03-29T16:50:36","indexId":"70195045","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Conversion of wet glass to melt at lower seismogenic zone conditions: Implications for pseudotachylyte creep","docAbstract":"<p><span>Coseismic frictional melting and the production of quenched glass called pseudotachylyte is a recurring process during earthquakes. To investigate how glassy materials affect the postseismic strength and stability of faults, obsidian gouges were sheared under dry and wet conditions from 200°C to 300°C at ~150&nbsp;MPa effective normal stress. Dry glass exhibited a brittle rheology at all conditions tested, exhibiting friction values and microstructures consistent with siliciclastic materials. Likewise, wet glass at 200°C exhibited a brittle rheology. In contrast, wet gouges at 300°C transitioned from brittle sliding to linear‐viscous (Newtonian) flow at strain rates &lt;3&nbsp;×&nbsp;10</span><sup>−4</sup><span>&nbsp;s</span><sup>−1</sup><span>, indicating melt‐like behavior. The viscosity ranged from 2&nbsp;×&nbsp;10</span><sup>11</sup><span><span>&nbsp;</span>to 7.8&nbsp;×&nbsp;10</span><sup>11</sup><span>&nbsp;Pa‐s. Microstructures show that viscous gouges were fully welded with rod‐shaped microlites rotated into the flow direction. Fourier transform infrared spectroscopy along with electron backscatter imaging demonstrate that hydration of the glass by diffusion of pore water was the dominant process reducing the viscosity and promoting viscous flow. As much as 5&nbsp;wt % water diffused into the glass. These results may provide insight into postseismic‐slip behaviors and challenge some interpretations of fault kinematics based on studies assuming that pseudotachylyte formation and flow is solely coseismic.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017GL075344","usgsCitation":"Proctor, B., Lockner, D.A., Lowenstern, J.B., and Beeler, N.M., 2018, Conversion of wet glass to melt at lower seismogenic zone conditions: Implications for pseudotachylyte creep: Geophysical Research Letters, v. 44, no. 20, p. 10248-10255, https://doi.org/10.1002/2017GL075344.","productDescription":"8 p.","startPage":"10248","endPage":"10255","ipdsId":"IP-088516","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":469188,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017gl075344","text":"Publisher Index Page"},{"id":352977,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"20","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-21","publicationStatus":"PW","scienceBaseUri":"5afee76fe4b0da30c1bfc29c","contributors":{"authors":[{"text":"Proctor, Brooks P. 0000-0002-4878-8728 bproctor@usgs.gov","orcid":"https://orcid.org/0000-0002-4878-8728","contributorId":178527,"corporation":false,"usgs":true,"family":"Proctor","given":"Brooks P.","email":"bproctor@usgs.gov","affiliations":[],"preferred":true,"id":732085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lockner, David A. 0000-0001-8630-6833 dlockner@usgs.gov","orcid":"https://orcid.org/0000-0001-8630-6833","contributorId":567,"corporation":false,"usgs":true,"family":"Lockner","given":"David","email":"dlockner@usgs.gov","middleInitial":"A.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":732086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":732087,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beeler, Nicholas M. 0000-0002-3397-8481 nbeeler@usgs.gov","orcid":"https://orcid.org/0000-0002-3397-8481","contributorId":2682,"corporation":false,"usgs":true,"family":"Beeler","given":"Nicholas","email":"nbeeler@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":732088,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193052,"text":"70193052 - 2018 - International Limnogeology Congress (ILIC6), Reno USA, special issue on new limnogeological research focused on pre-Holocene lake systems","interactions":[],"lastModifiedDate":"2018-01-10T19:39:17","indexId":"70193052","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2411,"text":"Journal of Paleolimnology","active":true,"publicationSubtype":{"id":10}},"title":"International Limnogeology Congress (ILIC6), Reno USA, special issue on new limnogeological research focused on pre-Holocene lake systems","docAbstract":"<p>No abstract available.<br></p>","language":"English","publisher":"Springer","doi":"10.1007/s10933-017-9990-y","usgsCitation":"Rosen, M.R., and Starratt, S.W., 2018, International Limnogeology Congress (ILIC6), Reno USA, special issue on new limnogeological research focused on pre-Holocene lake systems: Journal of Paleolimnology, v. 59, no. 1, p. 1-4, https://doi.org/10.1007/s10933-017-9990-y.","productDescription":"4 p.","startPage":"1","endPage":"4","ipdsId":"IP-086291","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"links":[{"id":347712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-17","publicationStatus":"PW","scienceBaseUri":"59f83a32e4b063d5d30980bb","contributors":{"authors":[{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":717758,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Starratt, Scott W. 0000-0001-9405-1746 sstarrat@usgs.gov","orcid":"https://orcid.org/0000-0001-9405-1746","contributorId":2891,"corporation":false,"usgs":true,"family":"Starratt","given":"Scott","email":"sstarrat@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":717759,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70191177,"text":"70191177 - 2018 - Evaluation of bias associated with capture maps derived from nonlinear groundwater flow models","interactions":[],"lastModifiedDate":"2025-01-29T15:52:18.355099","indexId":"70191177","displayToPublicDate":"2017-09-28T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of bias associated with capture maps derived from nonlinear groundwater flow models","docAbstract":"<p><span>The impact of groundwater withdrawal on surface water is a concern of water users and water managers, particularly in the arid western United States. Capture maps are useful tools to spatially assess the impact of groundwater pumping on water sources (e.g., streamflow depletion) and are being used more frequently for conjunctive management of surface water and groundwater. Capture maps have been derived using linear groundwater flow models and rely on the principle of superposition to demonstrate the effects of pumping in various locations on resources of interest. However, nonlinear models are often necessary to simulate head-dependent boundary conditions and unconfined aquifers. Capture maps developed using nonlinear models with the principle of superposition may over- or underestimate capture magnitude and spatial extent. This paper presents new methods for generating capture difference maps, which assess spatial effects of model nonlinearity on capture fraction sensitivity to pumping rate, and for calculating the bias associated with capture maps. The sensitivity of capture map bias to selected parameters related to model design and conceptualization for the arid western United States is explored. This study finds that the simulation of stream continuity, pumping rates, stream incision, well proximity to capture sources, aquifer hydraulic conductivity, and groundwater evapotranspiration extinction depth substantially affect capture map bias. Capture difference maps demonstrate that regions with large capture fraction differences are indicative of greater potential capture map bias. Understanding both spatial and temporal bias in capture maps derived from nonlinear groundwater flow models improves their utility and defensibility as conjunctive-use management tools.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12597","usgsCitation":"Nadler, C.A., Allander, K.K., Pohll, G., Morway, E.D., Naranjo, R.C., and Huntington, J., 2018, Evaluation of bias associated with capture maps derived from nonlinear groundwater flow models: Groundwater, v. 56, no. 3, p. 458-469, https://doi.org/10.1111/gwat.12597.","productDescription":"12 p.","startPage":"458","endPage":"469","ipdsId":"IP-083048","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":346162,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":381594,"rank":2,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/ja/70191177/70191177.pdf","text":"USGS open-access version of article","size":"1 MB","linkFileType":{"id":1,"text":"pdf"}}],"volume":"56","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-21","publicationStatus":"PW","scienceBaseUri":"59ce0a23e4b05fe04cc020e7","contributors":{"authors":[{"text":"Nadler, Cara A. 0000-0002-8711-7249 cnadler@usgs.gov","orcid":"https://orcid.org/0000-0002-8711-7249","contributorId":196757,"corporation":false,"usgs":true,"family":"Nadler","given":"Cara","email":"cnadler@usgs.gov","middleInitial":"A.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":711434,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allander, Kip K. 0000-0002-3317-298X kalland@usgs.gov","orcid":"https://orcid.org/0000-0002-3317-298X","contributorId":2290,"corporation":false,"usgs":true,"family":"Allander","given":"Kip","email":"kalland@usgs.gov","middleInitial":"K.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":711435,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pohll, Greg","contributorId":196758,"corporation":false,"usgs":false,"family":"Pohll","given":"Greg","email":"","affiliations":[],"preferred":false,"id":711437,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morway, Eric D. 0000-0002-8553-6140 emorway@usgs.gov","orcid":"https://orcid.org/0000-0002-8553-6140","contributorId":4320,"corporation":false,"usgs":true,"family":"Morway","given":"Eric","email":"emorway@usgs.gov","middleInitial":"D.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":711438,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Naranjo, Ramon C. 0000-0003-4469-6831 rnaranjo@usgs.gov","orcid":"https://orcid.org/0000-0003-4469-6831","contributorId":3391,"corporation":false,"usgs":true,"family":"Naranjo","given":"Ramon","email":"rnaranjo@usgs.gov","middleInitial":"C.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":711439,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Huntington, Justin 0000-0002-2699-0108","orcid":"https://orcid.org/0000-0002-2699-0108","contributorId":178785,"corporation":false,"usgs":false,"family":"Huntington","given":"Justin","affiliations":[],"preferred":false,"id":711436,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70191120,"text":"70191120 - 2018 - Soil base saturation combines with Beech Bark Disease to influence composition and structure of Sugar Maple-Beech forests in an acid rain-impacted region","interactions":[],"lastModifiedDate":"2018-06-04T16:21:37","indexId":"70191120","displayToPublicDate":"2017-09-27T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Soil base saturation combines with Beech Bark Disease to influence composition and structure of Sugar Maple-Beech forests in an acid rain-impacted region","docAbstract":"Sugar maple, an abundant and highly valued tree species in eastern North America, has experienced decline from soil calcium (Ca) depletion by acidic deposition, while beech, which often coexists with sugar maple, has been afflicted with beech bark disease (BBD) over the same period. To investigate how variations in soil base saturation combine with effects of BBD in influencing stand composition and structure, measurements of soils, canopy, subcanopy, and seedlings were taken in 21 watersheds in the Adirondack region of NY (USA), where sugar maple and beech were the predominant canopy species and base saturation of the upper B horizon ranged from 4.4 to 67%. The base saturation value corresponding to the threshold for Al mobilization (16.8%) helped to define the species composition of canopy trees and seedlings. Canopy vigor and diameter at breast height (DBH) were positively correlated (P < 0.05) with base saturation for sugar maple, but unrelated for beech. However, beech occupied lower canopy positions than sugar maple, and as base saturation increased, the average canopy position of beech decreased relative to sugar maple (P < 0.10). In low-base saturation soils, soil-Ca depletion and BBD may have created opportunities for gap-exploiting species such as red maple and black cherry, whereas in high-base saturation soils, sugar maple dominated the canopy. Where soils were beginning to recover from acidic deposition effects, sugar maple DBH and basal area increased progressively from 2000 to 2015, whereas for beech, average DBH did not change and basal area did not increase after 2010.","language":"English","publisher":"Springer","doi":"10.1007/s10021-017-0186-0","usgsCitation":"Lawrence, G.B., McDonnell, T.C., Sullivan, T.J., Dovciak, M., Bailey, S.W., Antidormi, M.R., and Zarfos, M.R., 2018, Soil base saturation combines with Beech Bark Disease to influence composition and structure of Sugar Maple-Beech forests in an acid rain-impacted region: Ecosystems, v. 21, no. 4, p. 795-810, https://doi.org/10.1007/s10021-017-0186-0.","productDescription":"16 p.","startPage":"795","endPage":"810","ipdsId":"IP-081770","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":346122,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","volume":"21","issue":"4","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-18","publicationStatus":"PW","scienceBaseUri":"59ccb8a4e4b017cf314383d4","contributors":{"authors":[{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":711284,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDonnell, Todd C. 0000-0002-5231-105X","orcid":"https://orcid.org/0000-0002-5231-105X","contributorId":196721,"corporation":false,"usgs":false,"family":"McDonnell","given":"Todd","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":711285,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sullivan, Timothy J.","contributorId":77812,"corporation":false,"usgs":true,"family":"Sullivan","given":"Timothy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":711286,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dovciak, Martin","contributorId":196723,"corporation":false,"usgs":false,"family":"Dovciak","given":"Martin","email":"","affiliations":[],"preferred":false,"id":711287,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bailey, Scott W. 0000-0002-9160-156X","orcid":"https://orcid.org/0000-0002-9160-156X","contributorId":178217,"corporation":false,"usgs":false,"family":"Bailey","given":"Scott","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":711288,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Antidormi, Michael R. 0000-0002-3967-1173 mantidormi@usgs.gov","orcid":"https://orcid.org/0000-0002-3967-1173","contributorId":150722,"corporation":false,"usgs":true,"family":"Antidormi","given":"Michael","email":"mantidormi@usgs.gov","middleInitial":"R.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":711289,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zarfos, Michael R. 0000-0002-2902-4773","orcid":"https://orcid.org/0000-0002-2902-4773","contributorId":196724,"corporation":false,"usgs":false,"family":"Zarfos","given":"Michael","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":711290,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70190745,"text":"70190745 - 2018 - Improving predictions of tropical forest response to climate change through integration of field studies and ecosystem modeling","interactions":[],"lastModifiedDate":"2018-02-12T15:44:26","indexId":"70190745","displayToPublicDate":"2017-09-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Improving predictions of tropical forest response to climate change through integration of field studies and ecosystem modeling","docAbstract":"<p><span>Tropical forests play a critical role in carbon and water cycles at a global scale. Rapid climate change is anticipated in tropical regions over the coming decades and, under a warmer and drier climate, tropical forests are likely to be net sources of carbon rather than sinks. However, our understanding of tropical forest response and feedback to climate change is very limited. Efforts to model climate change impacts on carbon fluxes in tropical forests have not reached a consensus. Here we use the Ecosystem Demography model (ED2) to predict carbon fluxes of a Puerto Rican tropical forest under realistic climate change scenarios. We parameterized ED2 with species-specific tree physiological data using the Predictive Ecosystem Analyzer workflow and projected the fate of this ecosystem under five future climate scenarios. The model successfully captured inter-annual variability in the dynamics of this tropical forest. Model predictions closely followed observed values across a wide range of metrics including above-ground biomass, tree diameter growth, tree size class distributions, and leaf area index. Under a future warming and drying climate scenario, the model predicted reductions in carbon storage and tree growth, together with large shifts in forest community composition and structure. Such rapid changes in climate led the forest to transition from a sink to a source of carbon. Growth respiration and root allocation parameters were responsible for the highest fraction of predictive uncertainty in modeled biomass, highlighting the need to target these processes in future data collection. Our study is the first effort to rely on Bayesian model calibration and synthesis to elucidate the key physiological parameters that drive uncertainty in tropical forests responses to climatic change. We propose a new path forward for model-data synthesis that can substantially reduce uncertainty in our ability to model tropical forest responses to future climate.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13863","usgsCitation":"Feng, X., Uriarte, M., Gonzalez, G., Reed, S.C., Thompson, J., Zimmerman, J.K., and Murphy, L., 2018, Improving predictions of tropical forest response to climate change through integration of field studies and ecosystem modeling: Global Change Biology, v. 24, no. 1, p. e213-e232, https://doi.org/10.1111/gcb.13863.","productDescription":"20 p.","startPage":"e213","endPage":"e232","ipdsId":"IP-086186","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":487993,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.13863","text":"Publisher Index Page"},{"id":345704,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-21","publicationStatus":"PW","scienceBaseUri":"59ba43b6e4b091459a5629a3","contributors":{"authors":[{"text":"Feng, Xiaohui","contributorId":196416,"corporation":false,"usgs":false,"family":"Feng","given":"Xiaohui","email":"","affiliations":[],"preferred":false,"id":710300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Uriarte, Maria","contributorId":196417,"corporation":false,"usgs":false,"family":"Uriarte","given":"Maria","email":"","affiliations":[],"preferred":false,"id":710301,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gonzalez, Grizelle","contributorId":191117,"corporation":false,"usgs":false,"family":"Gonzalez","given":"Grizelle","email":"","affiliations":[],"preferred":false,"id":710302,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":710299,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thompson, Jill","contributorId":201454,"corporation":false,"usgs":false,"family":"Thompson","given":"Jill","email":"","affiliations":[],"preferred":false,"id":710303,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zimmerman, Jess K.","contributorId":196419,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Jess","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":710304,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Murphy, Lora","contributorId":196420,"corporation":false,"usgs":false,"family":"Murphy","given":"Lora","email":"","affiliations":[],"preferred":false,"id":710305,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70190510,"text":"70190510 - 2018 - Climate variability and vadose zone controls on damping of transient recharge","interactions":[],"lastModifiedDate":"2018-06-19T09:55:21","indexId":"70190510","displayToPublicDate":"2017-09-05T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Climate variability and vadose zone controls on damping of transient recharge","docAbstract":"<p><span>Increasing demand on groundwater resources motivates understanding of the controls on recharge dynamics so model predictions under current and future climate may improve. Here we address questions about the nonlinear behavior of flux variability in the vadose zone that may explain previously reported teleconnections between global-scale climate variability and fluctuations in groundwater levels. We use hundreds of HYDRUS-1D simulations in a sensitivity analysis approach to evaluate the damping depth of transient recharge over a range of periodic boundary conditions and vadose zone geometries and hydraulic parameters that are representative of aquifer systems of the conterminous United States (U.S). Although the models were parameterized based on U.S. aquifers, findings from this study are applicable elsewhere that have mean recharge rates between 3.65 and 730 mm yr</span><sup>–1</sup><span>. We find that mean infiltration flux, period of time varying infiltration, and hydraulic conductivity are statistically significant predictors of damping depth. The resulting framework explains why some periodic infiltration fluxes associated with climate variability dampen with depth in the vadose zone, resulting in steady-state recharge, while other periodic surface fluxes do not dampen with depth, resulting in transient recharge. We find that transient recharge in response to the climate variability patterns could be detected at the depths of water levels in most U.S. aquifers. Our findings indicate that the damping behavior of transient infiltration fluxes is linear across soil layers for a range of texture combinations. The implications are that relatively simple, homogeneous models of the vadose zone may provide reasonable estimates of the damping depth of climate-varying transient recharge in some complex, layered vadose zone profiles.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2017.08.028","usgsCitation":"Corona, C.R., Gurdak, J.J., Dickinson, J.E., Ferre, T., and Maurer, E.P., 2018, Climate variability and vadose zone controls on damping of transient recharge: Journal of Hydrology, v. 561, p. 1094-1104, https://doi.org/10.1016/j.jhydrol.2017.08.028.","productDescription":"11 p.","startPage":"1094","endPage":"1104","ipdsId":"IP-087076","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":469191,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2017.08.028","text":"Publisher Index Page"},{"id":345462,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"561","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59afb79ae4b0e9bde1351123","contributors":{"authors":[{"text":"Corona, Claudia R.","contributorId":196165,"corporation":false,"usgs":false,"family":"Corona","given":"Claudia","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":709517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gurdak, Jason J.","contributorId":196166,"corporation":false,"usgs":false,"family":"Gurdak","given":"Jason","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":709518,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dickinson, Jesse E. 0000-0002-0048-0839 jdickins@usgs.gov","orcid":"https://orcid.org/0000-0002-0048-0839","contributorId":152545,"corporation":false,"usgs":true,"family":"Dickinson","given":"Jesse","email":"jdickins@usgs.gov","middleInitial":"E.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":709516,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ferre, T.P.A.","contributorId":196167,"corporation":false,"usgs":false,"family":"Ferre","given":"T.P.A.","email":"","affiliations":[],"preferred":false,"id":709519,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maurer, Edwin P.","contributorId":196168,"corporation":false,"usgs":false,"family":"Maurer","given":"Edwin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":709520,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70190480,"text":"70190480 - 2018 - A detailed risk assessment of shale gas development on headwater streams in the Pennsylvania portion of the Upper Susquehanna River Basin, U.S.A.","interactions":[],"lastModifiedDate":"2017-09-01T10:07:51","indexId":"70190480","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"A detailed risk assessment of shale gas development on headwater streams in the Pennsylvania portion of the Upper Susquehanna River Basin, U.S.A.","docAbstract":"<p><span>The development of unconventional oil and gas (UOG) involves infrastructure development (well pads, roads and pipelines), well drilling and stimulation (hydraulic fracturing), and production; all of which have the potential to affect stream ecosystems. Here, we developed a fine-scaled (1:24,000) catchment-level disturbance intensity index (DII) that included 17 measures of UOG capturing all steps in the development process (infrastructure, water withdrawals, probabilistic spills) that could affect headwater streams (&lt;</span><span>&nbsp;</span><span>200</span><span>&nbsp;</span><span>km</span><sup>2</sup><span><span>&nbsp;</span>in upstream catchment) in the Upper Susquehanna River Basin in Pennsylvania, U.S.A. The DII ranged from 0 (no UOG disturbance) to 100 (the catchment with the highest UOG disturbance in the study area) and it was most sensitive to removal of pipeline cover, road cover and well pad cover metrics. We related this DII to three measures of high quality streams: Pennsylvania State Exceptional Value (EV) streams, Class A brook trout streams and Eastern Brook Trout Joint Venture brook trout patches. Overall only 3.8% of all catchments and 2.7% of EV stream length, 1.9% of Class A streams and 1.2% of patches were classified as having medium to high level DII scores (&gt;</span><span>&nbsp;</span><span>50). Well density, often used as a proxy for development, only correlated strongly with well pad coverage and produced materials, and therefore may miss potential effects associated with roads and pipelines, water withdrawals and spills. When analyzed with a future development scenario, 91.1% of EV stream length, 68.7% of Class A streams and 80.0% of patches were in catchments with a moderate to high probability of development. Our method incorporated the cumulative effects of UOG on streams and can be used to identify catchments and reaches at risk to existing stressors or future development.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2017.07.247","usgsCitation":"Maloney, K.O., Young, J.A., Faulkner, S., Hailegiorgis, A., Slonecker, E., and Milheim, L., 2018, A detailed risk assessment of shale gas development on headwater streams in the Pennsylvania portion of the Upper Susquehanna River Basin, U.S.A.: Science of the Total Environment, v. 610-611, p. 154-166, https://doi.org/10.1016/j.scitotenv.2017.07.247.","productDescription":"13 p.","startPage":"154","endPage":"166","ipdsId":"IP-087579","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":461145,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2017.07.247","text":"Publisher Index Page"},{"id":438087,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7Z036NF","text":"USGS data release","linkHelpText":"Shale gas data used in development of the Disturbance Intensity Index for the Pennsylvania portion of the Upper Susquehanna River basin in Maloney et al. 2018."},{"id":345411,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Upper Susquehanna River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.046630859375,\n              40.53050177574321\n            ],\n            [\n              -75.047607421875,\n              40.53050177574321\n            ],\n            [\n              -75.047607421875,\n              42.00848901572399\n            ],\n            [\n              -79.046630859375,\n              42.00848901572399\n            ],\n            [\n              -79.046630859375,\n              40.53050177574321\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"610-611","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59aa71d8e4b0e9bde130cfe4","contributors":{"authors":[{"text":"Maloney, Kelly O. 0000-0003-2304-0745 kmaloney@usgs.gov","orcid":"https://orcid.org/0000-0003-2304-0745","contributorId":4636,"corporation":false,"usgs":true,"family":"Maloney","given":"Kelly","email":"kmaloney@usgs.gov","middleInitial":"O.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":709393,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, John A. 0000-0002-4500-3673 jyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-3673","contributorId":3777,"corporation":false,"usgs":true,"family":"Young","given":"John","email":"jyoung@usgs.gov","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":709394,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faulkner, Stephen 0000-0001-5295-1383 faulkners@usgs.gov","orcid":"https://orcid.org/0000-0001-5295-1383","contributorId":146152,"corporation":false,"usgs":true,"family":"Faulkner","given":"Stephen","email":"faulkners@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":709395,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hailegiorgis, Atesmachew","contributorId":196129,"corporation":false,"usgs":false,"family":"Hailegiorgis","given":"Atesmachew","email":"","affiliations":[],"preferred":false,"id":709396,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Slonecker, E. Terrence","contributorId":20677,"corporation":false,"usgs":true,"family":"Slonecker","given":"E. Terrence","affiliations":[],"preferred":false,"id":709398,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Milheim, Lesley lmilheim@usgs.gov","contributorId":168592,"corporation":false,"usgs":true,"family":"Milheim","given":"Lesley","email":"lmilheim@usgs.gov","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":709397,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70190326,"text":"70190326 - 2018 - Range estimates and habitat use of invasive Silver Carp (Hypophthalmichthys molitrix): Evidence of sedentary and mobile individuals","interactions":[],"lastModifiedDate":"2017-11-29T16:35:37","indexId":"70190326","displayToPublicDate":"2017-08-27T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Range estimates and habitat use of invasive Silver Carp (<i>Hypophthalmichthys molitrix</i>): Evidence of sedentary and mobile individuals","title":"Range estimates and habitat use of invasive Silver Carp (Hypophthalmichthys molitrix): Evidence of sedentary and mobile individuals","docAbstract":"<p>Unregulated rivers provide unobstructed corridors for the dispersal of both native and invasive species. We sought to evaluate range size and habitat use of an invasive species (Silver Carp, <i class=\"EmphasisTypeItalic \">Hypophthalmichthys molitrix</i>) in an unimpounded river reach (Wabash River, IN), to provide insights into the dispersal of invasive species and their potential overlap with native species. We hypothesized that range size would increase with fish length, be similar among sexes, and vary annually while habitats used would be deeper, warmer, lower velocity, and of finer substrate. Silver Carp habitat use supported our hypotheses but range size did not vary with sex or length. 75% home range varied annually, suggesting that core areas occupied by individuals may change relative to climate-based factors (e.g., water levels), whereas broader estimates of range size remained constant&nbsp;across years. Ranges were often centered on landscape features such as tributaries and backwaters. Results of this study indicate habitat and landscape features as potential areas where Silver Carp impacts on native ecosystems may be the greatest. Observed distribution of range sizes indicates the presence of sedentary and mobile individuals within the population. Mobile individuals may be of particular importance as they drive the spread of the invasive species into new habitats.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10750-017-3296-y","usgsCitation":"Prechtel, A.R., Coulter, A.A., Etchison, L., Jackson, P., and Goforth, R.R., 2018, Range estimates and habitat use of invasive Silver Carp (Hypophthalmichthys molitrix): Evidence of sedentary and mobile individuals: Hydrobiologia, v. 805, no. 1, p. 203-218, https://doi.org/10.1007/s10750-017-3296-y.","productDescription":"16 p.","startPage":"203","endPage":"218","ipdsId":"IP-075368","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":345176,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"805","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-11","publicationStatus":"PW","scienceBaseUri":"59a3da2de4b077f00567321b","contributors":{"authors":[{"text":"Prechtel, Austin R.","contributorId":195853,"corporation":false,"usgs":false,"family":"Prechtel","given":"Austin","email":"","middleInitial":"R.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":708460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coulter, Alison A.","contributorId":90992,"corporation":false,"usgs":false,"family":"Coulter","given":"Alison","email":"","middleInitial":"A.","affiliations":[{"id":26877,"text":"Southern Illinois University, Carbondale, IL","active":true,"usgs":false},{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":708461,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Etchison, Luke","contributorId":195854,"corporation":false,"usgs":false,"family":"Etchison","given":"Luke","email":"","affiliations":[{"id":13322,"text":"Ball State University","active":true,"usgs":false}],"preferred":false,"id":708462,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jackson, P. Ryan pjackson@usgs.gov","contributorId":2960,"corporation":false,"usgs":true,"family":"Jackson","given":"P. Ryan","email":"pjackson@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":708459,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goforth, Reuben R.","contributorId":195855,"corporation":false,"usgs":false,"family":"Goforth","given":"Reuben","email":"","middleInitial":"R.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":708463,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70190199,"text":"70190199 - 2018 - Spectrophotometry of Artemisia tridentata to quantitatively determine subspecies","interactions":[],"lastModifiedDate":"2017-12-12T12:29:34","indexId":"70190199","displayToPublicDate":"2017-08-21T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Spectrophotometry of <i>Artemisia tridentata</i> to quantitatively determine subspecies","title":"Spectrophotometry of Artemisia tridentata to quantitatively determine subspecies","docAbstract":"Ecological restoration is predicated on our abilities to discern plant taxa. Taxonomic identification is a first step in ensuring that plants are appropriately adapted to the site. An example of the need to identify taxonomic differences comes from big sagebrush (Artemisia tridentata). This species is composed of three predominant subspecies occupying distinct environmental niches, but overlap and hybridization are common in ecotones. Restoration of A. tridentata largely occurs using wildland collected seed, but there is uncertainty in the identification of subspecies or mix of subspecies from seed collections. Laboratory techniques that can determine subspecies composition would be desirable to ensure that subspecies match the restoration site environment. In this study, we use spectrophotometry to quantify chemical differences in the water-soluble compound, coumarin. Ultraviolet (UV) absorbance of A. tridentata subsp. vaseyana showed distinct differences among A.t. tridentata and wyomingensis. No UV absorbance differences were detected between A.t. tridentata and wyomingensis. Analyses of samples from > 600 plants growing in two common gardens showed that UV absorbance was unaffected by environment. Moreover, plant tissues (leaves and seed chaff) explained only a small amount of the variance. UV fluorescence of water-eluted plant tissue has been used for many years to indicate A.t. vaseyana; however, interpretation has been subjective. Use of spectrophotometry to acquire UV absorbance provides empirical results that can be used in seed testing laboratories using the seed chaff present with the seed to certify A. tridentata subspecies composition. On the basis of our methods, UV absorbance values < 2.7 would indicate A.t. vaseyana and values > 3.1 would indicate either A.t. tridentata or wyomingensis. UV absorbance values between 2.7 and 3.1 would indicate a mixture of A.t. vaseyana and the other two subspecies.","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2017.07.004","usgsCitation":"Richardson, B., Boyd, A., Tobiasson, T., and Germino, M., 2018, Spectrophotometry of Artemisia tridentata to quantitatively determine subspecies: Rangeland Ecology and Management, v. 71, no. 1, p. 87-90, https://doi.org/10.1016/j.rama.2017.07.004.","productDescription":"4 p.","startPage":"87","endPage":"90","ipdsId":"IP-085212","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":498720,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10150/671079","text":"External Repository"},{"id":344994,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"71","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599bf122e4b0b589267ed337","contributors":{"authors":[{"text":"Richardson, Bryce 0000-0001-9521-4367","orcid":"https://orcid.org/0000-0001-9521-4367","contributorId":195702,"corporation":false,"usgs":false,"family":"Richardson","given":"Bryce","email":"","affiliations":[],"preferred":false,"id":707936,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boyd, Alicia","contributorId":195703,"corporation":false,"usgs":false,"family":"Boyd","given":"Alicia","email":"","affiliations":[],"preferred":false,"id":707937,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tobiasson, Tanner","contributorId":195704,"corporation":false,"usgs":false,"family":"Tobiasson","given":"Tanner","email":"","affiliations":[],"preferred":false,"id":707938,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Germino, Matthew J. 0000-0001-6326-7579 mgermino@usgs.gov","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":152582,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","email":"mgermino@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":707935,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70190164,"text":"70190164 - 2018 - Seed origin and warming constrain lodgepole pine recruitment, slowing the pace of population range shifts","interactions":[],"lastModifiedDate":"2018-01-05T14:33:36","indexId":"70190164","displayToPublicDate":"2017-08-14T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Seed origin and warming constrain lodgepole pine recruitment, slowing the pace of population range shifts","docAbstract":"<p><span>Understanding how climate warming will affect the demographic rates of different ecotypes is critical to predicting shifts in species distributions. Here we present results from a common garden, climate change experiment in which we measured seedling recruitment of lodgepole pine, a widespread North American conifer that is also planted globally. Seeds from a low-elevation provenance had greater recruitment to their third year (by 323%) than seeds from a high-elevation provenance across sites within and above its native elevation range and across climate manipulations. Heating reduced (by 49%) recruitment to the third year of both low- and high-elevation seed sources across the elevation gradient, while watering alleviated some of the negative effects of heating (108% increase in watered plots). Demographic models based on recruitment data from the climate manipulations and long-term observations of adult populations revealed that heating could effectively halt modeled upslope range expansion except when combined with watering. Simulating fire and rapid post-fire forest recovery at lower elevations accelerated lodgepole pine expansion into the alpine, but did not alter final abundance rankings among climate scenarios. Regardless of climate scenario, greater recruitment of low-elevation seeds compensated for longer dispersal distances to treeline, assuming colonization was allowed to proceed over multiple centuries. Our results show that ecotypes from lower elevations within a species’ range could enhance recruitment and facilitate upslope range shifts with climate change.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13840","usgsCitation":"Conlisk, E., Castanha, C., Germino, M., Veblen, T., Smith, J.M., Moyes, A.B., and Kueppers, L.M., 2018, Seed origin and warming constrain lodgepole pine recruitment, slowing the pace of population range shifts: Global Change Biology, v. 24, no. 1, p. 197-211, https://doi.org/10.1111/gcb.13840.","startPage":"197","endPage":"211","ipdsId":"IP-083284","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":469194,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/gcb.13840","text":"External Repository"},{"id":344851,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-25","publicationStatus":"PW","scienceBaseUri":"59b76ec1e4b08b1644ddfac4","contributors":{"authors":[{"text":"Conlisk, Erin","contributorId":149404,"corporation":false,"usgs":false,"family":"Conlisk","given":"Erin","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":707771,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Castanha, Cristina","contributorId":177737,"corporation":false,"usgs":false,"family":"Castanha","given":"Cristina","email":"","affiliations":[{"id":16805,"text":"University of California, Merced","active":true,"usgs":false},{"id":6670,"text":"Lawrence Berkeley National Laboratory, Berkeley, CA","active":true,"usgs":false}],"preferred":false,"id":707772,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Germino, Matthew J. 0000-0001-6326-7579 mgermino@usgs.gov","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":152582,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","email":"mgermino@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":707770,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Veblen, Thomas T.","contributorId":71112,"corporation":false,"usgs":true,"family":"Veblen","given":"Thomas T.","affiliations":[],"preferred":false,"id":707773,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Jeremy M.","contributorId":182002,"corporation":false,"usgs":false,"family":"Smith","given":"Jeremy","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":707774,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moyes, Andrew B.","contributorId":177738,"corporation":false,"usgs":false,"family":"Moyes","given":"Andrew","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":707775,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kueppers, Lara M.","contributorId":177736,"corporation":false,"usgs":false,"family":"Kueppers","given":"Lara","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":707776,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70189768,"text":"70189768 - 2018 - Growth strategies and threshold responses to water deficit modulate effects of warming on tree seedlings from forest to alpine","interactions":[],"lastModifiedDate":"2018-02-14T14:30:46","indexId":"70189768","displayToPublicDate":"2017-07-21T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Growth strategies and threshold responses to water deficit modulate effects of warming on tree seedlings from forest to alpine","docAbstract":"<p>1.Predictions of upslope range shifts for tree species with warming are based on assumptions of moisture stress at lower elevation limits and low temperature stress at high elevation limits. However, recent studies have shown that warming can reduce tree seedling establishment across the entire gradient from subalpine forest to alpine via moisture limitation. Warming effects also vary with species, potentially resulting in community shifts in high elevation forests. </p><p>2.We examined the growth and physiology underlying effects of warming on seedling demographic patterns. We evaluated dry mass (DM), root length, allocation above- and belowground, and relative growth rate (RGR) of whole seedlings, and their ability to avoid or endure water stress via water-use efficiency and resisting turgor loss, for Pinus flexilis, Picea engelmannii and Pinus contorta seeded below, at, and above treeline in experimentally warmed, watered, and control plots in the Rocky Mountains, USA. We expected that growth and allocation responses to warming would relate to moisture status and that variation in drought tolerance traits would explain species differences in survival rates. </p><p>3.Across treatments and elevations, seedlings of all species had weak turgor-loss resistance, and growth was marginal with negative RGR in the first growth phase (-0.01 to -0.04 g/g/d). Growth was correlated with soil moisture, particularly in the relatively small-seeded P. contorta and P. engelmannii. P. flexilis, known to have the highest survivorship, attained the greatest DM and longest root but was also the slowest growing and most water-use-efficient. This was likely due to its greater reliance on seed reserves. Seedlings developed 15% less total DM, 25% less root DM, and 11% shorter roots in heated compared to unheated plots. Higher temperatures slightly increased DM, root length and RGR where soils were wettest, but more strongly decreased these variables under drier conditions.</p><p> 4.Synthesis: The surprising heat-inhibition of tree seedling establishment at the cold edge of forests appears to have a physiological basis: newly germinated seedlings have poor moisture stress tolerance, which appears related to marginal initial growth and heavy reliance on seed reserves. Variation in these attributes among tree species at treeline helps explain their different climate responses.</p>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2745.12837","usgsCitation":"Lazarus, B.E., Castanha, C., Germino, M., Kueppers, L.M., and Moyes, A.B., 2018, Growth strategies and threshold responses to water deficit modulate effects of warming on tree seedlings from forest to alpine: Journal of Ecology, v. 106, p. 571-585, https://doi.org/10.1111/1365-2745.12837.","productDescription":"15 p.","startPage":"571","endPage":"585","ipdsId":"IP-078453","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":469196,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2745.12837","text":"Publisher Index Page"},{"id":344266,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"106","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-18","publicationStatus":"PW","scienceBaseUri":"5977074ce4b0ec1a48889f40","contributors":{"authors":[{"text":"Lazarus, Brynne E. 0000-0002-6352-486X blazarus@usgs.gov","orcid":"https://orcid.org/0000-0002-6352-486X","contributorId":4901,"corporation":false,"usgs":true,"family":"Lazarus","given":"Brynne","email":"blazarus@usgs.gov","middleInitial":"E.","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":706279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Castanha, Cristina","contributorId":177737,"corporation":false,"usgs":false,"family":"Castanha","given":"Cristina","email":"","affiliations":[{"id":16805,"text":"University of California, Merced","active":true,"usgs":false},{"id":6670,"text":"Lawrence Berkeley National Laboratory, Berkeley, CA","active":true,"usgs":false}],"preferred":false,"id":706280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Germino, Matthew J. 0000-0001-6326-7579 mgermino@usgs.gov","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":152582,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","email":"mgermino@usgs.gov","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":706278,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kueppers, Lara M.","contributorId":177736,"corporation":false,"usgs":false,"family":"Kueppers","given":"Lara","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":706281,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moyes, Andrew B.","contributorId":177738,"corporation":false,"usgs":false,"family":"Moyes","given":"Andrew","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":706282,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70190589,"text":"70190589 - 2018 - The influence of data characteristics on detecting wetland/stream surface-water connections in the Delmarva Peninsula, Maryland and Delaware","interactions":[],"lastModifiedDate":"2018-03-29T12:51:13","indexId":"70190589","displayToPublicDate":"2017-06-30T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3751,"text":"Wetlands Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"The influence of data characteristics on detecting wetland/stream surface-water connections in the Delmarva Peninsula, Maryland and Delaware","docAbstract":"<p><span>The dependence of downstream waters on upstream ecosystems necessitates an improved understanding of watershed-scale hydrological interactions including connections between wetlands and streams. An evaluation of such connections is challenging when, (1) accurate and complete datasets of wetland and stream locations are often not available and (2) natural variability in surface-water extent influences the frequency and duration of wetland/stream connectivity. The Upper Choptank River watershed on the Delmarva Peninsula in eastern Maryland and Delaware is dominated by a high density of small, forested wetlands. In this analysis, wetland/stream surface water connections were quantified using multiple wetland and stream datasets, including headwater streams and depressions mapped from a lidar-derived digital elevation model. Surface-water extent was mapped across the watershed for spring 2015 using Landsat-8, Radarsat-2 and Worldview-3 imagery. The frequency of wetland/stream connections increased as a more complete and accurate stream dataset was used and surface-water extent was included, in particular when the spatial resolution of the imagery was finer (i.e.,&nbsp;&lt;10&nbsp;m). Depending on the datasets used, 12–60% of wetlands by count (21–93% of wetlands by area) experienced surface-water interactions with streams during spring 2015. This translated into a range of 50–94% of the watershed contributing direct surface water runoff to streamflow. This finding suggests that our interpretation of the frequency and duration of wetland/stream connections will be influenced not only by the spatial and temporal characteristics of wetlands, streams and potential flowpaths, but also by the completeness, accuracy and resolution of input datasets.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11273-017-9554-y","usgsCitation":"Vanderhoof, M.K., Distler, H., Lang, M.W., and Alexander, L.C., 2018, The influence of data characteristics on detecting wetland/stream surface-water connections in the Delmarva Peninsula, Maryland and Delaware: Wetlands Ecology and Management, v. 26, no. 1, p. 63-86, https://doi.org/10.1007/s11273-017-9554-y.","productDescription":"24 p.","startPage":"63","endPage":"86","ipdsId":"IP-084257","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":469198,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9534041","text":"External Repository"},{"id":438088,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F70C4T8F","text":"USGS data release","linkHelpText":"Data Release for the influence of data characteristics on detecting wetland/stream surface-water connections in the Delmarva Peninsula, Maryland and Delaware"},{"id":352120,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland","otherGeospatial":"Delmarva Peninsula","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.1,\n              38.5\n            ],\n            [\n              -76.1,\n              39.1\n            ],\n            [\n              -75.5,\n              39.1\n            ],\n            [\n              -75.5,\n              38.5\n            ],\n            [\n              -76.1,\n              38.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"26","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-08","publicationStatus":"PW","scienceBaseUri":"5afee787e4b0da30c1bfc2b6","contributors":{"authors":[{"text":"Vanderhoof, Melanie K. 0000-0002-0101-5533 mvanderhoof@usgs.gov","orcid":"https://orcid.org/0000-0002-0101-5533","contributorId":168395,"corporation":false,"usgs":true,"family":"Vanderhoof","given":"Melanie","email":"mvanderhoof@usgs.gov","middleInitial":"K.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":709917,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Distler, Hayley 0000-0001-5006-1360 hdistler@usgs.gov","orcid":"https://orcid.org/0000-0001-5006-1360","contributorId":179359,"corporation":false,"usgs":true,"family":"Distler","given":"Hayley","email":"hdistler@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":709918,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lang, Megan W.","contributorId":196284,"corporation":false,"usgs":false,"family":"Lang","given":"Megan","email":"","middleInitial":"W.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":709919,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alexander, Laurie C.","contributorId":196285,"corporation":false,"usgs":false,"family":"Alexander","given":"Laurie","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":709920,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70189902,"text":"70189902 - 2018 - Shaler: in situ analysis of a fluvial sedimentary deposit on Mars","interactions":[],"lastModifiedDate":"2021-08-12T15:05:49.756748","indexId":"70189902","displayToPublicDate":"2017-06-21T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3369,"text":"Sedimentology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Shaler: <i>in situ</i> analysis of a fluvial sedimentary deposit on Mars","title":"Shaler: in situ analysis of a fluvial sedimentary deposit on Mars","docAbstract":"<p><span>This paper characterizes the detailed sedimentology of a fluvial sandbody on Mars for the first time and interprets its depositional processes and palaeoenvironmental setting. Despite numerous orbital observations of fluvial landforms on the surface of Mars, ground-based characterization of the sedimentology of such fluvial deposits has not previously been possible. Results from the NASA Mars Science Laboratory&nbsp;</span><i>Curiosity</i><span>&nbsp;rover provide an opportunity to reconstruct at fine scale the sedimentary architecture and palaeomorphology of a fluvial environment on Mars. This work describes the grain size, texture and sedimentary facies of the Shaler outcrop, reconstructs the bedding architecture, and analyses cross-stratification to determine palaeocurrents. On the basis of bedset geometry and inclination, grain-size distribution and bedform migration direction, this study concludes that the Shaler outcrop probably records the accretion of a fluvial barform. The majority of the outcrop consists of large-scale trough cross-bedding of coarse sand and granules. Palaeocurrent analyses and bedform reconstruction indicate that the beds were deposited by bedforms that migrated towards the north-east, across the surface of a bar that migrated south-east. Stacked cosets of dune cross-bedding suggest aggradation of multiple bedforms, which provides evidence for short periods of sustained flow during Shaler deposition. However, local evidence for aeolian reworking and the presence of potential desiccation cracks within the outcrop suggest that fluvial deposition may have been intermittent. The uppermost strata at Shaler are distinct in terms of texture and chemistry and are inferred to record deposition from a different sediment dispersal system with a contrasting provenance. The outcrop as a whole is a testament to the availability of liquid water on the surface of Mars in its early history.</span></p>","language":"English","publisher":"International Association of Sedimentologists","doi":"10.1111/sed.12370","usgsCitation":"Edgar, L.A., Gupta, S., Rubin, D.M., Lewis, K.W., Kocurek, G.A., Anderson, R.B., Bell, J., Dromart, G., Edgett, K., Grotzinger, J.P., Hardgrove, C., Kah, L.C., LeVeille, R.A., Malin, M.C., Mangold, N., Milliken, R.E., Minitti, M., Palucis, M.C., Rice, M., Rowland, S.K., Schieber, J., Stack, K.M., Sumner, D.Y., Wiens, R.C., Williams, R.M., and Williams, A.J., 2018, Shaler: in situ analysis of a fluvial sedimentary deposit on Mars: Sedimentology, v. 65, no. 1, p. 96-122, https://doi.org/10.1111/sed.12370.","productDescription":"27 p.","startPage":"96","endPage":"122","ipdsId":"IP-079732","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":469199,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/sed.12370","text":"Publisher Index Page"},{"id":344494,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"65","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-21","publicationStatus":"PW","scienceBaseUri":"59819315e4b0e2f5d463b799","contributors":{"authors":[{"text":"Edgar, Lauren A. 0000-0001-7512-7813 ledgar@usgs.gov","orcid":"https://orcid.org/0000-0001-7512-7813","contributorId":167501,"corporation":false,"usgs":true,"family":"Edgar","given":"Lauren","email":"ledgar@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":706690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gupta, Sanjeev","contributorId":172302,"corporation":false,"usgs":false,"family":"Gupta","given":"Sanjeev","email":"","affiliations":[{"id":24608,"text":"Imperial College London","active":true,"usgs":false}],"preferred":false,"id":706691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rubin, David M. 0000-0003-1169-1452 drubin@usgs.gov","orcid":"https://orcid.org/0000-0003-1169-1452","contributorId":3159,"corporation":false,"usgs":true,"family":"Rubin","given":"David","email":"drubin@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":706692,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lewis, Kevin W.","contributorId":42337,"corporation":false,"usgs":true,"family":"Lewis","given":"Kevin","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":706693,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kocurek, Gary A.","contributorId":195297,"corporation":false,"usgs":false,"family":"Kocurek","given":"Gary","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":706694,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anderson, Ryan B. 0000-0003-4465-2871 rbanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-4465-2871","contributorId":170054,"corporation":false,"usgs":true,"family":"Anderson","given":"Ryan","email":"rbanderson@usgs.gov","middleInitial":"B.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":706695,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bell, James F.  III","contributorId":195298,"corporation":false,"usgs":false,"family":"Bell","given":"James F. ","suffix":"III","affiliations":[{"id":34032,"text":"School of Earth and Space Exploration, Arizona State University, Tempe, AZ 85287","active":true,"usgs":false}],"preferred":false,"id":706696,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dromart, Gilles","contributorId":172300,"corporation":false,"usgs":false,"family":"Dromart","given":"Gilles","email":"","affiliations":[{"id":25661,"text":"Laboratoire de Géologie de Lyon, Ecole Normale Supérieure de Lyon and Université Claude Bernard Lyon","active":true,"usgs":false}],"preferred":false,"id":706697,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Edgett, Kenneth S.","contributorId":12736,"corporation":false,"usgs":true,"family":"Edgett","given":"Kenneth S.","affiliations":[],"preferred":false,"id":706698,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Grotzinger, John P.","contributorId":58011,"corporation":false,"usgs":false,"family":"Grotzinger","given":"John","email":"","middleInitial":"P.","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":706699,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hardgrove, Craig","contributorId":13546,"corporation":false,"usgs":false,"family":"Hardgrove","given":"Craig","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":706700,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kah, Linda C.","contributorId":181497,"corporation":false,"usgs":false,"family":"Kah","given":"Linda","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":706701,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"LeVeille, Richard A.","contributorId":141177,"corporation":false,"usgs":false,"family":"LeVeille","given":"Richard","email":"","middleInitial":"A.","affiliations":[{"id":13705,"text":"Freeport McMoRan Copper & Gold Inc.","active":true,"usgs":false}],"preferred":false,"id":706702,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Malin, Michael C.","contributorId":195300,"corporation":false,"usgs":false,"family":"Malin","given":"Michael","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":706703,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Mangold, Nicholas","contributorId":195301,"corporation":false,"usgs":false,"family":"Mangold","given":"Nicholas","email":"","affiliations":[],"preferred":false,"id":706704,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Milliken, Ralph E.","contributorId":189151,"corporation":false,"usgs":false,"family":"Milliken","given":"Ralph","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":706705,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Minitti, Michelle","contributorId":195302,"corporation":false,"usgs":false,"family":"Minitti","given":"Michelle","affiliations":[],"preferred":false,"id":706706,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Palucis, Marisa C.","contributorId":172311,"corporation":false,"usgs":false,"family":"Palucis","given":"Marisa","email":"","middleInitial":"C.","affiliations":[{"id":13243,"text":"University of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":706707,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Rice, Melissa","contributorId":172306,"corporation":false,"usgs":false,"family":"Rice","given":"Melissa","affiliations":[{"id":12723,"text":"Western Washington 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Y.","contributorId":88997,"corporation":false,"usgs":true,"family":"Sumner","given":"Dawn","email":"","middleInitial":"Y.","affiliations":[],"preferred":false,"id":706712,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Wiens, Roger C.","contributorId":140330,"corporation":false,"usgs":false,"family":"Wiens","given":"Roger","email":"","middleInitial":"C.","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":706713,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Williams, Rebecca M.E.","contributorId":34020,"corporation":false,"usgs":true,"family":"Williams","given":"Rebecca","email":"","middleInitial":"M.E.","affiliations":[],"preferred":false,"id":706714,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Williams, Amy J.","contributorId":138805,"corporation":false,"usgs":false,"family":"Williams","given":"Amy","email":"","middleInitial":"J.","affiliations":[{"id":12532,"text":"Univ. of California, Davis","active":true,"usgs":false}],"preferred":false,"id":706715,"contributorType":{"id":1,"text":"Authors"},"rank":26}]}}
,{"id":70188573,"text":"70188573 - 2018 - Repeated drought alters resistance of seed bank regeneration in baldcypress swamps of North America","interactions":[],"lastModifiedDate":"2018-02-14T14:32:23","indexId":"70188573","displayToPublicDate":"2017-06-15T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Repeated drought alters resistance of seed bank regeneration in baldcypress swamps of North America","docAbstract":"<p><span>Recurring drying and wetting events are likely to increase in frequency and intensity in predicted future droughts in the central USA and alter the regeneration potential of species. We explored the resistance of seed banks to successive droughts in 53 sites across the nine locations in baldcypress swamps in the southeastern USA. Along the Mississippi River Alluvial Valley and northern Gulf of Mexico, we investigated the capacity of seed banks to retain viable seeds after successive periods of drying and wetting in a greenhouse study. Mean differences in species richness and seed density were compared to examine the interactions of successive droughts, geographical location and water regime. The results showed that both species richness and total density of germinating seedlings decreased over repeated drought trials. These responses were more pronounced in geographical areas with higher annual mean temperature. In seed banks across the southeastern swamp region, most species were exhausted after Trial 2 or 3, except for semiaquatic species in Illinois and Tennessee, and aquatic species in Texas. Distinct geographical trends in seed bank resistance to drought demonstrate that climate-induced drying of baldcypress swamps could influence the regeneration of species differently across their ranges. Despite the health of adult individuals, lack of regeneration may push ecosystems into a relict status. Seed bank depletion by germination without replenishment may be a major conservation threat in a future with recurring droughts far less severe than megadrought. Nevertheless, the protection of moist refugia might aid conservation.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10021-017-0143-y","usgsCitation":"Lei, T., and Middleton, B.A., 2018, Repeated drought alters resistance of seed bank regeneration in baldcypress swamps of North America: Ecosystems, v. 21, no. 1, p. 190-201, https://doi.org/10.1007/s10021-017-0143-y.","productDescription":"12 p.","startPage":"190","endPage":"201","ipdsId":"IP-068945","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":342571,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Florida, Illinois, Louisiana, Mississippi, Tennessee, Texas ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.56982421875,\n              28.38173504322308\n            ],\n            [\n              -82.30957031249999,\n              28.38173504322308\n            ],\n            [\n              -82.30957031249999,\n              38.71980474264237\n            ],\n            [\n              -96.56982421875,\n              38.71980474264237\n            ],\n            [\n              -96.56982421875,\n              28.38173504322308\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"21","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-12","publicationStatus":"PW","scienceBaseUri":"59439c91e4b062508e31a979","contributors":{"authors":[{"text":"Lei, Ting","contributorId":192991,"corporation":false,"usgs":false,"family":"Lei","given":"Ting","affiliations":[],"preferred":false,"id":698399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Middleton, Beth A. 0000-0002-1220-2326 middletonb@usgs.gov","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":2029,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","email":"middletonb@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":698398,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70188383,"text":"70188383 - 2018 - Depletion mapping and constrained optimization to support managing groundwater extraction","interactions":[],"lastModifiedDate":"2018-02-05T15:41:34","indexId":"70188383","displayToPublicDate":"2017-06-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Depletion mapping and constrained optimization to support managing groundwater extraction","docAbstract":"<p><span>Groundwater models often serve as management tools to evaluate competing water uses including ecosystems, irrigated agriculture, industry, municipal supply, and others. Depletion potential mapping—showing the model-calculated potential impacts that wells have on stream baseflow—can form the basis for multiple potential management approaches in an oversubscribed basin. Specific management approaches can include scenarios proposed by stakeholders, systematic changes in well pumping based on depletion potential, and formal constrained optimization, which can be used to quantify the tradeoff between water use and stream baseflow. Variables such as the maximum amount of reduction allowed in each well and various groupings of wells using, for example, K-means clustering considering spatial proximity and depletion potential are considered. These approaches provide a potential starting point and guidance for resource managers and stakeholders to make decisions about groundwater management in a basin, spreading responsibility in different ways. We illustrate these approaches in the Little Plover River basin in central Wisconsin, United States—home to a rich agricultural tradition, with farmland and urban areas both in close proximity to a groundwater-dependent trout stream. Groundwater withdrawals have reduced baseflow supplying the Little Plover River below a legally established minimum. The techniques in this work were developed in response to engaged stakeholders with various interests and goals for the basin. They sought to develop a collaborative management plan at a watershed scale that restores the flow rate in the river in a manner that incorporates principles of shared governance and results in effective and minimally disruptive changes in groundwater extraction practices.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12536","usgsCitation":"Fienen, M., Bradbury, K.R., Kniffin, M., and Barlow, P.M., 2018, Depletion mapping and constrained optimization to support managing groundwater extraction: Groundwater, v. 56, no. 1, p. 18-31, https://doi.org/10.1111/gwat.12536.","productDescription":"14 p.","startPage":"18","endPage":"31","ipdsId":"IP-084972","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":342269,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-06","publicationStatus":"PW","scienceBaseUri":"593910a7e4b0764e6c5e883e","contributors":{"authors":[{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":177065,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","email":"mnfienen@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":697478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradbury, Kenneth R.","contributorId":192713,"corporation":false,"usgs":false,"family":"Bradbury","given":"Kenneth","email":"","middleInitial":"R.","affiliations":[{"id":33612,"text":"Wisconsin Geological and Natural History Survey, University of Wisconsin Extension, Madison, WI","active":true,"usgs":false}],"preferred":false,"id":697479,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kniffin, Maribeth","contributorId":190743,"corporation":false,"usgs":false,"family":"Kniffin","given":"Maribeth","email":"","affiliations":[{"id":13562,"text":"University of Wisconsin, Madison","active":true,"usgs":false}],"preferred":false,"id":697480,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barlow, Paul M. 0000-0003-4247-6456 pbarlow@usgs.gov","orcid":"https://orcid.org/0000-0003-4247-6456","contributorId":1200,"corporation":false,"usgs":true,"family":"Barlow","given":"Paul","email":"pbarlow@usgs.gov","middleInitial":"M.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":697481,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70187603,"text":"gip176 - 2018 - Groundwater and streamflow information program Kansas Cooperative Water Science since 1895","interactions":[],"lastModifiedDate":"2021-05-26T11:42:14.849368","indexId":"gip176","displayToPublicDate":"2017-05-10T13:15:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"176","displayTitle":"Groundwater and Streamflow Information Program Kansas Cooperative Water Science since 1895","title":"Groundwater and streamflow information program Kansas Cooperative Water Science since 1895","docAbstract":"<p><span>The U.S. Geological Survey, in cooperation with State, local, and other Federal agencies, operates a network of streamgages throughout the State of Kansas. Data provided by this network are used to forecast floods, operate reservoirs, develop water policy, administer regulation of water, and perform interpretive analyses of streamflow. 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 \"}}]}","edition":"Version 1.0: May 10, 2017; Version 1.1: October 19, 2017; Version 1.2: October 26, 2018; Version 1.3: October 15, 2019; Version 2.0: May 25, 2021","contact":"<p><a href=\"mailto: dc_ks@usgs.gov\" data-mce-href=\"mailto: dc_ks@usgs.gov\">Director</a>,&nbsp;<a href=\"https://ks.water.usgs.gov\" data-mce-href=\"https://ks.water.usgs.gov\">Kansas Water Science Center</a><br>U.S. Geological Survey<br>1217 Biltmore Drive<br>Lawrence, KS 66049</p>","tableOfContents":"<ul><li>Groundwater and Streamflow Information Program, Kansas Cooperative Water Science since 1895</li><li>Groundwater and Streamflow Information Program</li><li>Program Strengths</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2017-05-10","revisedDate":"2021-05-25","noUsgsAuthors":false,"publicationDate":"2017-05-10","publicationStatus":"PW","scienceBaseUri":"591426b9e4b0e541a03e95fc","contributors":{"authors":[{"text":"Painter, Colin C. 0000-0002-9469-5987 cpainter@usgs.gov","orcid":"https://orcid.org/0000-0002-9469-5987","contributorId":5597,"corporation":false,"usgs":true,"family":"Painter","given":"Colin","email":"cpainter@usgs.gov","middleInitial":"C.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":694707,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kramer, Ariele R. 0000-0002-7075-3310 akramer@usgs.gov","orcid":"https://orcid.org/0000-0002-7075-3310","contributorId":185245,"corporation":false,"usgs":true,"family":"Kramer","given":"Ariele","email":"akramer@usgs.gov","middleInitial":"R.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":694708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelly, Brian P. 0000-0001-6378-2837 bkelly@usgs.gov","orcid":"https://orcid.org/0000-0001-6378-2837","contributorId":897,"corporation":false,"usgs":true,"family":"Kelly","given":"Brian","email":"bkelly@usgs.gov","middleInitial":"P.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":694709,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Chantelle 0000-0001-6415-7320","orcid":"https://orcid.org/0000-0001-6415-7320","contributorId":225019,"corporation":false,"usgs":true,"family":"Davis","given":"Chantelle","email":"","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":816436,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70187567,"text":"70187567 - 2018 - Microhabitat and biology of <i>Sphaerium striatinum</i> in a central New York stream","interactions":[],"lastModifiedDate":"2018-02-22T12:40:23","indexId":"70187567","displayToPublicDate":"2017-05-09T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Microhabitat and biology of <i>Sphaerium striatinum</i> in a central New York stream","docAbstract":"<p><span>In many lotic systems, drastic declines in freshwater bivalve populations, including fingernail clams (Sphaeriidae), have created concerns about biodiversity and future ecosystem services. We examined the local occurrence of the historically common fingernail clam, </span><i class=\"EmphasisTypeItalic \">Sphaerium striatinum</i><span>, in a central New York stream. We sampled the density of sphaeriids and measured the associated habitat variables (substrate, depth, water flow) to test within-stream multivariate benthic microhabitat association. Size distribution, density, and diel feeding periodicity were measured as focal aspects of fingernail clam biology and ecology. </span><i class=\"EmphasisTypeItalic \">S. striatinum</i><span> tended to be found in microhabitats that had harder substrates and faster flow. The Labrador Creek fingernail clam local population had positive indicators (size distribution, density). There was significant diel periodicity in feeding behavior. The clams fed most actively during the 0400–0800&nbsp;h periods. This kind of behavioral periodicity can indicate a significant ecological interaction between predators and bivalve prey. Increased understanding of the behavioral ecology of small native freshwater bivalves in an unimpacted headwater stream is a fundamental building block for development of overall ecological conservation goals for freshwater bivalves and their lotic habitats.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10750-017-3177-4","usgsCitation":"Dittman, D.E., Johnson, J.H., and Nack, C.C., 2018, Microhabitat and biology of <i>Sphaerium striatinum</i> in a central New York stream: Hydrobiologia, v. 810, no. 1, p. 367-374, https://doi.org/10.1007/s10750-017-3177-4.","productDescription":"8 p.","startPage":"367","endPage":"374","ipdsId":"IP-077198","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":461153,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10750-017-3177-4","text":"Publisher Index Page"},{"id":340990,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","volume":"810","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-26","publicationStatus":"PW","scienceBaseUri":"5912d536e4b0e541a03d4519","contributors":{"authors":[{"text":"Dittman, Dawn E. 0000-0002-0711-3732 ddittman@usgs.gov","orcid":"https://orcid.org/0000-0002-0711-3732","contributorId":2762,"corporation":false,"usgs":true,"family":"Dittman","given":"Dawn","email":"ddittman@usgs.gov","middleInitial":"E.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":694589,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, James H. 0000-0002-5619-3871 jhjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5619-3871","contributorId":389,"corporation":false,"usgs":true,"family":"Johnson","given":"James","email":"jhjohnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":694590,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nack, Christopher C.","contributorId":66137,"corporation":false,"usgs":true,"family":"Nack","given":"Christopher","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":694591,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70187553,"text":"gip175 - 2018 - Science programs in Kansas","interactions":[],"lastModifiedDate":"2022-12-12T21:29:09.674835","indexId":"gip175","displayToPublicDate":"2017-05-08T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"175","displayTitle":"Science Programs in Kansas","title":"Science programs in Kansas","docAbstract":"<p>The U.S. Geological Survey (USGS) is a non-regulatory Earth science agency within the Department of the Interior that provides impartial scientific information to describe and understand the health of our ecosystems and environment; minimize loss of life and property from natural disasters; manage water, biological, energy, and mineral resources; and enhance and protect our quality of life. The USGS cooperates with Federal, State, tribal, and local agencies in Kansas to deliver long-term data in real-time and interpretive reports describing what those data mean to the public and resource management agencies. USGS science programs in Kansas provide real-time groundwater monitoring at more than&nbsp;19 locations; streamflow monitoring at more than 216 locations; water-quality and trends in the Little Arkansas and Kansas Rivers; inflows and outflows of sediment to/from reservoirs and in streams; harmful algal bloom research in the Kansas River, Milford Lake, and Cheney Reservoir; water-quantity and water-quality effects of artificial groundwater recharge for the <i>Equus</i> Beds Aquifer Storage and Recovery project near Wichita, Kansas; compilation of Kansas municipal and irrigation water-use data statewide; the occurrence, effects, and movement of environmental pesticides, antibiotics, algal toxins, and taste-and-odor compounds; and funding to the Kansas Water Resources Research Institute to further research and education through Kansas universities.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip175","usgsCitation":"Kramer, 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 \"}}]}","edition":"Version 1.0: May 8, 2017; Version 1.1: October 19, 2017; Version 1.2: October 26, 2018; Version 1.3: October 15, 2019; Version 1.4: December 12, 2022","contact":"<p><a href=\"mailto: dc_ks@usgs.gov\" data-mce-href=\"mailto: dc_ks@usgs.gov\">Director</a>,&nbsp;<a href=\"https://ks.water.usgs.gov\" data-mce-href=\"https://ks.water.usgs.gov\">Kansas Water Science Center</a><br>U.S. Geological Survey<br>1217 Biltmore Drive<br>Lawrence, KS 66049</p>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2017-05-08","revisedDate":"2022-12-12","noUsgsAuthors":false,"publicationDate":"2017-05-08","publicationStatus":"PW","scienceBaseUri":"591183aee4b0e541a03c1a42","contributors":{"authors":[{"text":"Kramer, Ariele R. 0000-0002-7075-3310 akramer@usgs.gov","orcid":"https://orcid.org/0000-0002-7075-3310","contributorId":185245,"corporation":false,"usgs":true,"family":"Kramer","given":"Ariele","email":"akramer@usgs.gov","middleInitial":"R.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":694544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelly, Brian P. 0000-0001-6378-2837 bkelly@usgs.gov","orcid":"https://orcid.org/0000-0001-6378-2837","contributorId":897,"corporation":false,"usgs":true,"family":"Kelly","given":"Brian","email":"bkelly@usgs.gov","middleInitial":"P.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":694543,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70186327,"text":"70186327 - 2018 - Shallow bedrock limits groundwater seepage-based headwater climate refugia","interactions":[],"lastModifiedDate":"2018-02-14T14:34:38","indexId":"70186327","displayToPublicDate":"2017-04-04T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5362,"text":"Limnologica - Ecology and Management of Inland Waters","active":true,"publicationSubtype":{"id":10}},"title":"Shallow bedrock limits groundwater seepage-based headwater climate refugia","docAbstract":"<p><span>Groundwater/surface-water exchanges in streams are inexorably linked to adjacent aquifer dynamics. As surface-water temperatures continue to increase with climate warming, refugia created by groundwater connectivity is expected to enable cold water fish species to survive. The shallow alluvial aquifers that source groundwater seepage to headwater streams, however, may also be sensitive to seasonal and long-term air temperature dynamics. Depth to bedrock can directly influence shallow aquifer flow and thermal sensitivity, but is typically ill-defined along the stream corridor in steep mountain catchments. We employ rapid, cost-effective passive seismic measurements to evaluate the variable thickness of the shallow colluvial and alluvial aquifer sediments along a headwater stream supporting cold water-dependent brook trout (</span><i>Salvelinus fontinalis</i><span>) in Shenandoah National Park, VA, USA. Using a mean depth to bedrock of 2.6&nbsp;m, numerical models predicted strong sensitivity of shallow aquifer temperature to the downward propagation of surface heat. The annual temperature dynamics (annual signal amplitude attenuation and phase shift) of potential seepage sourced from the shallow modeled aquifer were compared to several years of paired observed stream and air temperature records. Annual stream water temperature patterns were found to lag local air temperature by ∼8–19 d along the stream corridor, indicating that thermal exchange between the stream and shallow groundwater is spatially variable. Locations with greater annual signal phase lag were also associated with locally increased amplitude attenuation, further suggestion of year-round buffering of channel water temperature by groundwater seepage. Numerical models of shallow groundwater temperature that incorporate regional expected climate warming trends indicate that the summer cooling capacity of this groundwater seepage will be reduced over time, and lower-elevation stream sections may no longer serve as larger-scale climate refugia for cold water fish species, even with strong groundwater discharge.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.limno.2017.02.005","usgsCitation":"Briggs, M.A., Lane, J.W., Snyder, C.D., White, E.A., Johnson, Z., Nelms, D.L., and Hitt, N.P., 2018, Shallow bedrock limits groundwater seepage-based headwater climate refugia: Limnologica - Ecology and Management of Inland Waters, v. 68, p. 142-156, https://doi.org/10.1016/j.limno.2017.02.005.","productDescription":"15 p.","startPage":"142","endPage":"156","ipdsId":"IP-081517","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"links":[{"id":469205,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.limno.2017.02.005","text":"Publisher Index Page"},{"id":438092,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9IJMGIB","text":"USGS data release","linkHelpText":"Passive seismic data collected along headwater stream corridors in Shenandoah National Park in 2016 - 2020"},{"id":438091,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7JW8C04","text":"USGS data release","linkHelpText":"Seismic data for study of shallow mountain bedrock limits seepage-based headwater climate refugia, Shenandoah National Park, Virginia"},{"id":438090,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7TD9VFS","text":"USGS data release","linkHelpText":"Temperature data for study of shallow mountain bedrock limits seepage-based headwater climate refugia, Shenandoah National Park, Virginia"},{"id":339122,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"68","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e4b0b0e4b09da679997770","contributors":{"authors":[{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":688331,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lane, John W. Jr. 0000-0002-3558-243X jwlane@usgs.gov","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":189168,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":false,"id":688332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Snyder, Craig D. 0000-0002-3448-597X csnyder@usgs.gov","orcid":"https://orcid.org/0000-0002-3448-597X","contributorId":2568,"corporation":false,"usgs":true,"family":"Snyder","given":"Craig","email":"csnyder@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":688335,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"White, Eric A. 0000-0002-7782-146X eawhite@usgs.gov","orcid":"https://orcid.org/0000-0002-7782-146X","contributorId":1737,"corporation":false,"usgs":false,"family":"White","given":"Eric","email":"eawhite@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":688333,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Zachary 0000-0002-0149-5223 zjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-0149-5223","contributorId":190399,"corporation":false,"usgs":true,"family":"Johnson","given":"Zachary","email":"zjohnson@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":688336,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nelms, David L. 0000-0001-5747-642X dlnelms@usgs.gov","orcid":"https://orcid.org/0000-0001-5747-642X","contributorId":1892,"corporation":false,"usgs":true,"family":"Nelms","given":"David","email":"dlnelms@usgs.gov","middleInitial":"L.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true},{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":688334,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hitt, Nathaniel P. 0000-0002-1046-4568 nhitt@usgs.gov","orcid":"https://orcid.org/0000-0002-1046-4568","contributorId":4435,"corporation":false,"usgs":true,"family":"Hitt","given":"Nathaniel","email":"nhitt@usgs.gov","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":688337,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70179769,"text":"70179769 - 2018 - High-resolution climate of the past ∼7300 years of coastal northernmost California: Results from diatoms, silicoflagellates, and pollen","interactions":[],"lastModifiedDate":"2018-04-27T16:57:19","indexId":"70179769","displayToPublicDate":"2017-01-18T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3217,"text":"Quaternary International","active":true,"publicationSubtype":{"id":10}},"title":"High-resolution climate of the past ∼7300 years of coastal northernmost California: Results from diatoms, silicoflagellates, and pollen","docAbstract":"<p>Piston core TN062-O550, collected about 33&nbsp;km offshore of Eureka, California, contains a high-resolution record of the climate and oceanography of coastal northernmost California during the past ∼7.34&nbsp;kyr. Chronology established by nine AMS ages on a combination of planktic foraminifers, bivalve shell fragments, and wood yields a mean sedimentation rate of 103&nbsp;cm&nbsp;kyr<sup>−1</sup>. Marine proxies (diatoms and silicoflagellates) and pollen transported by the nearby Eel River reveal a stepwise development of both modern offshore surface water oceanography and coastal arboreal ecosystems. Beginning at ∼5.4&nbsp;cal ka the relative abundance of coastal redwood pollen, a proxy for coastal fog, displays a two fold increase suggesting enhanced coastal upwelling. A decline in the relative contribution of subtropical diatoms at ∼5.0&nbsp;cal ka implies cooling of sea surface temperatures (SSTs). At ∼3.6&nbsp;cal ka an increase in the relative abundance of alder and oak at the expense of coastal redwood likely signals intensified riverine transport of pollen from inland environments. Cooler offshore SSTs and increased precipitation characterize the interval between ∼3.6 and 2.8&nbsp;cal ka. A rapid, stepwise change in coastal climatology and oceanography occurs between ∼2.8 and 2.6&nbsp;cal ka that suggests an enhanced expression of modern Pacific Decadal Oscillation-like (PDO) cycles. A three-fold increase in the relative abundance of the subtropical diatom <i>Fragilariopsis doliolus</i> at 2.8&nbsp;cal ka appears to mark an abrupt warming of winter SSTs. Soon afterwards at 2.6&nbsp;cal ka, a two fold increase in the relative abundance of coastal redwood pollen is suggestive of an abrupt intensification of spring upwelling. After ∼2.8&nbsp;cal ka a sequence of cool-warm, PDO-like cycles occurs wherein cool cycles are characterized by relative abundance increases in coastal redwood pollen and decreased contributions of subtropical diatoms, whereas opposite proxy trends distinguish warm cycles.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quaint.2016.10.039","usgsCitation":"Barron, J.A., Bukry, D., Heusser, L.E., Addison, J.A., and Alexander, C.R., 2018, High-resolution climate of the past ∼7300 years of coastal northernmost California: Results from diatoms, silicoflagellates, and pollen: Quaternary International, v. 469, no. B, p. 109-119, https://doi.org/10.1016/j.quaint.2016.10.039.","productDescription":"11 p.","startPage":"109","endPage":"119","ipdsId":"IP-072222","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":469207,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quaint.2016.10.039","text":"Publisher Index Page"},{"id":333326,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"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              -125,\n              40\n            ],\n            [\n              -125,\n              42\n            ],\n            [\n              -123,\n              42\n            ],\n            [\n              -123,\n              40\n            ],\n            [\n              -125,\n              40\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"469","issue":"B","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58808d3ce4b01dfadfff1529","contributors":{"authors":[{"text":"Barron, John A. 0000-0002-9309-1145 jbarron@usgs.gov","orcid":"https://orcid.org/0000-0002-9309-1145","contributorId":2222,"corporation":false,"usgs":true,"family":"Barron","given":"John","email":"jbarron@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":658624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bukry, David 0000-0003-4540-890X dbukry@usgs.gov","orcid":"https://orcid.org/0000-0003-4540-890X","contributorId":3550,"corporation":false,"usgs":true,"family":"Bukry","given":"David","email":"dbukry@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":658625,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heusser, Linda E.","contributorId":178365,"corporation":false,"usgs":false,"family":"Heusser","given":"Linda","email":"","middleInitial":"E.","affiliations":[{"id":28041,"text":"Lamont-Doherty Earth Observatory, Columbia University","active":true,"usgs":false}],"preferred":false,"id":658626,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Addison, Jason A. 0000-0003-2416-9743 jaddison@usgs.gov","orcid":"https://orcid.org/0000-0003-2416-9743","contributorId":4192,"corporation":false,"usgs":true,"family":"Addison","given":"Jason","email":"jaddison@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":658627,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Alexander, Clark R. Jr.","contributorId":178366,"corporation":false,"usgs":false,"family":"Alexander","given":"Clark","suffix":"Jr.","email":"","middleInitial":"R.","affiliations":[{"id":28042,"text":"Skidaway Institute of Oceanography, Savannah, GA 31411","active":true,"usgs":false}],"preferred":false,"id":658628,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70179329,"text":"70179329 - 2018 - Bioenergetic evaluation of diel vertical migration by bull trout (Salvelinus confluentus) in a thermally stratified reservoir","interactions":[],"lastModifiedDate":"2017-12-11T14:00:18","indexId":"70179329","displayToPublicDate":"2016-12-29T00:00:00","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}},"displayTitle":"Bioenergetic evaluation of diel vertical migration by bull trout (<i>Salvelinus confluentus</i>) in a thermally stratified reservoir","title":"Bioenergetic evaluation of diel vertical migration by bull trout (Salvelinus confluentus) in a thermally stratified reservoir","docAbstract":"<p><span>Many species living in deeper lentic ecosystems exhibit daily movements that cycle through the water column, generally referred to as diel vertical migration (DVM). In this study, we applied bioenergetics modelling to evaluate growth as a hypothesis to explain DVM by bull trout (</span><i>Salvelinus confluentus</i><span>) in a thermally stratified reservoir (Ross Lake, WA, USA) during the peak of thermal stratification in July and August. Bioenergetics model parameters were derived from observed vertical distributions of temperature, prey and bull trout. Field sampling confirmed that bull trout prey almost exclusively on recently introduced redside shiner (</span><i>Richardsonius balteatus</i><span>). Model predictions revealed that deeper (&gt;25&nbsp;m) DVMs commonly exhibited by bull trout during peak thermal stratification cannot be explained by maximising growth. Survival, another common explanation for DVM, may have influenced bull trout depth use, but observations suggest there may be additional drivers of DVM. We propose these deeper summertime excursions may be partly explained by an alternative hypothesis: the importance of colder water for gametogenesis. In Ross Lake, reliance of bull trout on warm water prey (redside shiner) for consumption and growth poses a potential trade-off with the need for colder water for gametogenesis.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/eff.12321","usgsCitation":"Eckmann, M., Dunham, J.B., Connor, E.J., and Welch, C.A., 2018, Bioenergetic evaluation of diel vertical migration by bull trout (Salvelinus confluentus) in a thermally stratified reservoir: Ecology of Freshwater Fish, v. 27, no. 1, p. 30-43, https://doi.org/10.1111/eff.12321.","startPage":"30","endPage":"43","ipdsId":"IP-062351","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":332614,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Ross Lake, North Cascades National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n 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Center","active":true,"usgs":true}],"preferred":true,"id":656804,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Connor, Edward J.","contributorId":177723,"corporation":false,"usgs":false,"family":"Connor","given":"Edward","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":656827,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Welch, Carmen A.","contributorId":177724,"corporation":false,"usgs":false,"family":"Welch","given":"Carmen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":656828,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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