{"pageNumber":"878","pageRowStart":"21925","pageSize":"25","recordCount":165505,"records":[{"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":70190667,"text":"70190667 - 2018 - Green tree frog (Hyla cinerea) and ground squirrel (Xerospermophilus spilosoma) mortality attributed to inland brevetoxin transportation at Padre Island National Seashore, Texas, 2015","interactions":[],"lastModifiedDate":"2019-09-25T09:15:27","indexId":"70190667","displayToPublicDate":"2017-09-12T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Green tree frog (<i>Hyla cinerea</i>) and ground squirrel (<i>Xerospermophilus spilosoma</i>) mortality attributed to inland brevetoxin transportation at Padre Island National Seashore, Texas, 2015","title":"Green tree frog (Hyla cinerea) and ground squirrel (Xerospermophilus spilosoma) mortality attributed to inland brevetoxin transportation at Padre Island National Seashore, Texas, 2015","docAbstract":"<p><span>On 16 September 2015, a red tide (</span><i>Karenia brevis</i><span>) bloom impacted coastal areas of Padre Island National Seashore Park. Two days later and about 0.9 km inland, 30–40 adult green tree frogs (</span><i>Hyla cinerea</i><span>) were found dead after displaying tremors, weakness, labored breathing, and other signs of neurologic impairment. A rainstorm, accompanied by high winds, rough surf, and high tides, which could have aerosolized brevetoxin, occurred on the morning of the mortality event. Frog carcasses were healthy but contained significant brevetoxin in tissues. Tissue brevetoxin was also found in two dead or dying spotted ground squirrels (</span><i>Xerospermophilus spilosoma</i><span>) and a coyote (</span><i>Canis latrans</i><span>). Rainwater collected from the location of the mortality event contained brevetoxin. Mortality of green tree frog and ground squirrel mortality has not been previously attributed to brevetoxin exposure and such mortality suggested that inland toxin transport, possibly through aerosols, rainfall, or insects, may have important implications for coastal species.</span></p>","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2017-01-018","usgsCitation":"Buttke, D.E., Walker, A., Huang, I., Flewelling, L., Lankton, J.S., Ballmann, A.E., Clapp, T., Lindsay, J., and Zimba, P.V., 2018, Green tree frog (Hyla cinerea) and ground squirrel (Xerospermophilus spilosoma) mortality attributed to inland brevetoxin transportation at Padre Island National Seashore, Texas, 2015: Journal of Wildlife Diseases, v. 51, no. 4, p. 142-146, https://doi.org/10.7589/2017-01-018.","productDescription":"5 p.","startPage":"142","endPage":"146","ipdsId":"IP-083314","costCenters":[{"id":456,"text":"National Wildlife Health 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PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59b8f21ae4b08b1644e0aebf","contributors":{"authors":[{"text":"Buttke, Danielle E.","contributorId":196326,"corporation":false,"usgs":false,"family":"Buttke","given":"Danielle","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":710079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walker, Alicia","contributorId":196327,"corporation":false,"usgs":false,"family":"Walker","given":"Alicia","email":"","affiliations":[],"preferred":false,"id":710080,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huang, I-Shuo","contributorId":196328,"corporation":false,"usgs":false,"family":"Huang","given":"I-Shuo","email":"","affiliations":[],"preferred":false,"id":710081,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flewelling, 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,{"id":70190523,"text":"70190523 - 2018 - Long-term trends in restoration and associated land treatments in the southwestern United States","interactions":[],"lastModifiedDate":"2018-03-05T15:49:29","indexId":"70190523","displayToPublicDate":"2017-09-06T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Long-term trends in restoration and associated land treatments in the southwestern United States","docAbstract":"<p><span>Restoration treatments, such as revegetation with seeding or invasive species removal, have been applied on U.S. public lands for decades. Temporal trends in these management actions have not been extensively summarized previously, particularly in the southwestern United States where invasive plant species, drought, and fire have altered dryland ecosystems. We assessed long-term (1940–2010) trends in restoration using approximately 4,000 vegetation treatments conducted on Bureau of Land Management lands across the southwestern United States. We found that since 1940, the proportions of seeding and vegetation/soil manipulation (e.g. vegetation removal or plowing) treatments have declined, while the proportions of prescribed burn and invasive species treatments have increased. Treatments in pinyon-juniper and big sagebrush communities declined in comparison to treatments in desert scrub, creosote bush, and riparian woodland communities. Restoration-focused treatment objectives increased relative to resource extraction objectives. Species richness and proportion of native species used in seeding treatments also increased. Inflation-adjusted costs per area rose 750% for vegetation/soil manipulation, 600% for seeding, and 400% for prescribed burn treatments in the decades from 1981 to 2010. Seeding treatments were implemented in warmer and drier years when compared to the climate conditions of the entire study period and warmer and wetter years relative to several years before and after the treatment. These results suggest that treatments over a 70-year period on public lands in the southwestern United States are shifting toward restoration practices that are increasingly large, expensive, and related to fire and invasive species control.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/rec.12574","usgsCitation":"Copeland, S., Munson, S.M., Pilliod, D., Welty, J., Bradford, J.B., and Butterfield, B.J., 2018, Long-term trends in restoration and associated land treatments in the southwestern United States: Restoration Ecology, v. 26, no. 2, p. 311-322, https://doi.org/10.1111/rec.12574.","productDescription":"12 p.","startPage":"311","endPage":"322","ipdsId":"IP-083606","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":469190,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.12574","text":"Publisher Index Page"},{"id":345527,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.037109375,\n              28.998531814051795\n            ],\n            [\n              -100.6787109375,\n              28.998531814051795\n            ],\n            [\n              -100.6787109375,\n              41.04621681452063\n            ],\n            [\n              -118.037109375,\n              41.04621681452063\n            ],\n            [\n              -118.037109375,\n              28.998531814051795\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"26","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-27","publicationStatus":"PW","scienceBaseUri":"59b10930e4b020cdf7d8d9c4","contributors":{"authors":[{"text":"Copeland, Stella M.","contributorId":196218,"corporation":false,"usgs":false,"family":"Copeland","given":"Stella M.","affiliations":[{"id":37009,"text":"USDA Agricultural Research Service","active":true,"usgs":false}],"preferred":false,"id":709627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":709629,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":196219,"corporation":false,"usgs":false,"family":"Pilliod","given":"David S.","affiliations":[],"preferred":false,"id":709630,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Welty, Justin L. 0000-0001-7829-7324","orcid":"https://orcid.org/0000-0001-7829-7324","contributorId":196220,"corporation":false,"usgs":false,"family":"Welty","given":"Justin L.","affiliations":[],"preferred":false,"id":709631,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":709626,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Butterfield, Bradley J. 0000-0003-0974-9811","orcid":"https://orcid.org/0000-0003-0974-9811","contributorId":167009,"corporation":false,"usgs":false,"family":"Butterfield","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":24591,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":709628,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70190548,"text":"70190548 - 2018 - Fine-scale habitat preference of green sturgeon (Acipenser medirostris) within three spawning locations in the Sacramento River, California","interactions":[],"lastModifiedDate":"2018-04-27T16:53:57","indexId":"70190548","displayToPublicDate":"2017-09-06T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Fine-scale habitat preference of green sturgeon (<i>Acipenser medirostris</i>) within three spawning locations in the Sacramento River, California","title":"Fine-scale habitat preference of green sturgeon (Acipenser medirostris) within three spawning locations in the Sacramento River, California","docAbstract":"Vast sections of the Sacramento River have been listed as critical habitat by the National Marine Fisheries Service for green sturgeon spawning (<i>Acipenser medirostris</i>), yet spawning is known to occur at only a few specific locations. This study reveals the range of physical habitat variables selected by adult green sturgeon during their spawning period. We integrated fine-scale fish positions, physical habitat characteristics, discharge, bathymetry, and simulated velocity and depth using a 2-dimensional hydraulic model (FaSTMECH). The objective was to create habitat suitability curves for depth, velocity, and substrate type within three known spawning locations over two years. An overall cumulative habitat suitability score was calculated that averaged the depth, velocity, and substrate scores over all fish, sites, and years. A weighted usable area (WUA) index was calculated throughout the sampling periods for each of the three sites. Cumulative results indicate that the microhabitat characteristics most preferred by green sturgeon in these three spawning locations were velocities between 1.0-1.1 m/s, depths of 8-9 m, and gravel and sand substrate. This study provides guidance for those who may in the future want to increase spawning habitat for green sturgeon within the Sacramento River.","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2017-0072","usgsCitation":"Wyman, M.T., Thomas, M.J., McDonald, R.R., Hearn, A.R., Batt, R.D., Chapman, E.D., Kinzel, P.J., Minear, J.T., Mora, E.A., Nelson, J.M., Pagel, M.D., and Klimley, A.P., 2018, Fine-scale habitat preference of green sturgeon (Acipenser medirostris) within three spawning locations in the Sacramento River, California: Canadian Journal of Fisheries and Aquatic Sciences, v. 75, no. 5, p. 779-791, https://doi.org/10.1139/cjfas-2017-0072.","productDescription":"13 p.","startPage":"779","endPage":"791","ipdsId":"IP-080132","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":501354,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/69177","text":"External Repository"},{"id":345523,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.24899291992188,\n              40.027614437486655\n            ],\n            [\n              -122.08694458007812,\n              40.027614437486655\n            ],\n            [\n              -122.08694458007812,\n              40.35282369083777\n            ],\n            [\n              -122.24899291992188,\n              40.35282369083777\n            ],\n            [\n              -122.24899291992188,\n              40.027614437486655\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"75","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59b1092de4b020cdf7d8d9ad","contributors":{"authors":[{"text":"Wyman, Megan T.","contributorId":196239,"corporation":false,"usgs":false,"family":"Wyman","given":"Megan","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":709736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, Michael J.","contributorId":196240,"corporation":false,"usgs":false,"family":"Thomas","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":709737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDonald, Richard R. 0000-0002-0703-0638 rmcd@usgs.gov","orcid":"https://orcid.org/0000-0002-0703-0638","contributorId":2428,"corporation":false,"usgs":true,"family":"McDonald","given":"Richard","email":"rmcd@usgs.gov","middleInitial":"R.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":709735,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hearn, Alexander R.","contributorId":196241,"corporation":false,"usgs":false,"family":"Hearn","given":"Alexander","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":709738,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Batt, Ryan D.","contributorId":196242,"corporation":false,"usgs":false,"family":"Batt","given":"Ryan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":709739,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chapman, Eric D.","contributorId":34377,"corporation":false,"usgs":true,"family":"Chapman","given":"Eric","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":709740,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":709741,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Minear, J. Tobey","contributorId":196246,"corporation":false,"usgs":false,"family":"Minear","given":"J.","email":"","middleInitial":"Tobey","affiliations":[],"preferred":false,"id":709745,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mora, Ethan A.","contributorId":196244,"corporation":false,"usgs":false,"family":"Mora","given":"Ethan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":709742,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nelson, Jonathan M. 0000-0002-7632-8526 jmn@usgs.gov","orcid":"https://orcid.org/0000-0002-7632-8526","contributorId":2812,"corporation":false,"usgs":true,"family":"Nelson","given":"Jonathan","email":"jmn@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":709744,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Pagel, Matthew D.","contributorId":196247,"corporation":false,"usgs":false,"family":"Pagel","given":"Matthew","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":709746,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Klimley, A. Peter","contributorId":196245,"corporation":false,"usgs":false,"family":"Klimley","given":"A.","email":"","middleInitial":"Peter","affiliations":[],"preferred":false,"id":709743,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"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":70191887,"text":"70191887 - 2018 - Increasing rock-avalanche size and mobility in Glacier Bay National Park and Preserve, Alaska detected from 1984 to 2016 Landsat imagery","interactions":[],"lastModifiedDate":"2018-03-05T15:48:21","indexId":"70191887","displayToPublicDate":"2017-08-31T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2604,"text":"Landslides","active":true,"publicationSubtype":{"id":10}},"title":"Increasing rock-avalanche size and mobility in Glacier Bay National Park and Preserve, Alaska detected from 1984 to 2016 Landsat imagery","docAbstract":"<p><span>In the USA, climate change is expected to have an adverse impact on slope stability in Alaska. However, to date, there has been limited work done in Alaska to assess if changes in slope stability are occurring. To address this issue, we used 30-m Landsat imagery acquired from 1984 to 2016 to establish an inventory of 24 rock avalanches in a 5000-km</span><sup>2</sup><span><span>&nbsp;</span>area of Glacier Bay National Park and Preserve in southeast Alaska. A search of available earthquake catalogs revealed that none of the avalanches were triggered by earthquakes. Analyses of rock-avalanche magnitude, mobility, and frequency reveal a cluster of large (areas ranging from 5.5 to 22.2&nbsp;km</span><sup>2</sup><span>), highly mobile (height/length&nbsp;&lt;&nbsp;0.3) rock avalanches that occurred from June 2012 through June 2016 (near the end of the 33-year period of record). These rock avalanches began about 2&nbsp; years after the long-term trend in mean annual maximum air temperature may have exceeded 0&nbsp;°C. Possibly more important, most of these rock avalanches occurred during a multiple-year period of record-breaking warm winter and spring air temperatures. These observations suggested to us that rock avalanches in the study area may be becoming larger because of rock-permafrost degradation. However, other factors, such as accumulating elastic strain, glacial thinning, and increased precipitation, may also play an important role in preconditioning slopes for failure during periods of warm temperatures.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10346-017-0879-7","usgsCitation":"Coe, J.A., Bessette-Kirton, E., and Geertsema, M., 2018, Increasing rock-avalanche size and mobility in Glacier Bay National Park and Preserve, Alaska detected from 1984 to 2016 Landsat imagery: Landslides, v. 15, no. 3, p. 393-407, https://doi.org/10.1007/s10346-017-0879-7.","productDescription":"15 p.","startPage":"393","endPage":"407","ipdsId":"IP-088763","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":469192,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10346-017-0879-7","text":"Publisher Index Page"},{"id":346920,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Glacier Bay National Park and Preserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -137.076416015625,\n              59.07444815466584\n            ],\n            [\n              -137.28515624999997,\n              59.012284446745966\n            ],\n            [\n              -137.4554443359375,\n              58.91599192355906\n            ],\n            [\n              -137.515869140625,\n              58.91031927906603\n            ],\n            [\n              -138.0267333984375,\n              58.87910308023475\n            ],\n            [\n              -138.01025390625,\n              58.77389612171181\n            ],\n            [\n              -137.8070068359375,\n              58.60547223430314\n            ],\n            [\n              -137.30712890625,\n              58.43335765926364\n            ],\n            [\n              -136.6644287109375,\n              58.16780532399956\n            ],\n            [\n              -136.5380859375,\n              58.208344086647706\n            ],\n            [\n              -136.4007568359375,\n              58.28350775348904\n            ],\n            [\n              -136.1865234375,\n              58.306602995027966\n            ],\n            [\n              -136.0052490234375,\n              58.35563036280964\n            ],\n            [\n              -136.07391357421875,\n              58.51234832198017\n            ],\n            [\n              -136.29638671875,\n              58.69406761967911\n            ],\n            [\n              -136.4227294921875,\n              58.79382463666851\n            ],\n            [\n              -136.6094970703125,\n              58.87058467868075\n            ],\n            [\n              -136.7962646484375,\n              58.89897119532359\n            ],\n            [\n              -136.9061279296875,\n              58.91315571775059\n            ],\n            [\n              -136.9281005859375,\n              58.96417180405949\n            ],\n            [\n              -137.076416015625,\n              59.07444815466584\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"15","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-31","publicationStatus":"PW","scienceBaseUri":"59e86834e4b05fe04cd4d1ea","contributors":{"authors":[{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":713543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bessette-Kirton, Erin 0000-0002-2797-0694 ebessette-kirton@usgs.gov","orcid":"https://orcid.org/0000-0002-2797-0694","contributorId":177153,"corporation":false,"usgs":true,"family":"Bessette-Kirton","given":"Erin","email":"ebessette-kirton@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":713544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Geertsema, Marten","contributorId":197464,"corporation":false,"usgs":false,"family":"Geertsema","given":"Marten","email":"","affiliations":[],"preferred":false,"id":713545,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70190445,"text":"70190445 - 2018 - Northern tamarisk beetle (Diorhabda carinulata) and tamarisk (Tamarix spp.) interactions in the Colorado River basin","interactions":[],"lastModifiedDate":"2018-03-05T15:50:35","indexId":"70190445","displayToPublicDate":"2017-08-31T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Northern tamarisk beetle (<i>Diorhabda carinulata</i>) and tamarisk (<i>Tamarix spp.</i>) interactions in the Colorado River basin","title":"Northern tamarisk beetle (Diorhabda carinulata) and tamarisk (Tamarix spp.) interactions in the Colorado River basin","docAbstract":"Northern tamarisk beetles (Diorhabda carinulata) were released in the Upper Colorado River Basin in the United States in\r\n2004–2007 to defoliate introduced tamarisk shrubs (Tamarix spp.) in the region’s riparian zones. The primary purpose was\r\nto control the invasive shrub and reduce evapotranspiration (ET) by tamarisk in an attempt to increase stream flows. We\r\nevaluated beetle–tamarisk interactions with MODIS and Landsat imagery on 13 river systems, with vegetation indices used\r\nas indicators of the extent of defoliation and ET. Beetles are widespread and exhibit a pattern of colonize–defoliate–emigrate,\r\nso that riparian zones contain a mosaic of completely defoliated, partially defoliated, and refoliated tamarisk stands. Based\r\non satellite data and ET algorithms, mean ET before beetle release (2000–2006) was 416 mm/year compared to postrelease\r\n(2007–2015) ET of 355 mm/year (p<0.05) for a net reduction of 61 mm/year. This is lower than initial literature projections\r\nthat ET would be reduced by 300–460 mm/year. Reasons for the lower-than-expected ET reductions are because baseline ET\r\nrates are lower than initially projected, and percentage ET reduction is low because tamarisk stands tend to regrow new leaves\r\nafter defoliation and other plants help maintain canopy cover. Overall reductions in tamarisk green foliage during the study\r\nare 21%. However, ET in the Upper Basin has shown a steady decline since 2007 and equilibrium has not yet been reached.\r\nDefoliation is now proceeding from the Upper Basin into the Lower Basin at a rate of 40 km/year, much faster than initially\r\nprojected.","language":"English","publisher":"Wiley","doi":"10.1111/rec.12575","usgsCitation":"Nagler, P.L., Nguyen, U., Bateman, H.L., Jarchow, C., Glenn, E., Waugh, W.J., and van Riper, C., 2018, Northern tamarisk beetle (Diorhabda carinulata) and tamarisk (Tamarix spp.) interactions in the Colorado River basin: Restoration Ecology, v. 26, no. 2, p. 348-359, https://doi.org/10.1111/rec.12575.","productDescription":"12 p.","startPage":"348","endPage":"359","ipdsId":"IP-079583","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":345398,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Colorado River ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.78515624999999,\n              33.94335994657882\n            ],\n            [\n              -107.68798828125,\n              33.94335994657882\n            ],\n            [\n              -107.68798828125,\n              39.436192999314095\n            ],\n            [\n              -114.78515624999999,\n              39.436192999314095\n            ],\n            [\n              -114.78515624999999,\n              33.94335994657882\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"26","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-25","publicationStatus":"PW","scienceBaseUri":"59a9203ee4b07e1a023ccd95","contributors":{"authors":[{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":709185,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nguyen, Uyen","contributorId":71863,"corporation":false,"usgs":false,"family":"Nguyen","given":"Uyen","email":"","affiliations":[{"id":13060,"text":"Department of Soil, Water and Environmental Science, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":709186,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bateman, Heather L.","contributorId":72294,"corporation":false,"usgs":true,"family":"Bateman","given":"Heather","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":709187,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jarchow, Christopher 0000-0002-0424-4104 cjarchow@usgs.gov","orcid":"https://orcid.org/0000-0002-0424-4104","contributorId":196069,"corporation":false,"usgs":true,"family":"Jarchow","given":"Christopher","email":"cjarchow@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":709188,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Glenn, Edward P.","contributorId":56542,"corporation":false,"usgs":false,"family":"Glenn","given":"Edward P.","affiliations":[{"id":13060,"text":"Department of Soil, Water and Environmental Science, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":709189,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Waugh, William J.","contributorId":196107,"corporation":false,"usgs":false,"family":"Waugh","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":709190,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"van Riper, Charles III 0000-0003-1084-5843 charles_van_riper@usgs.gov","orcid":"https://orcid.org/0000-0003-1084-5843","contributorId":169488,"corporation":false,"usgs":true,"family":"van Riper","given":"Charles","suffix":"III","email":"charles_van_riper@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":709191,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"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":70190198,"text":"70190198 - 2018 - Weather-centric rangeland revegetation planning","interactions":[],"lastModifiedDate":"2017-12-12T12:31:33","indexId":"70190198","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}},"title":"Weather-centric rangeland revegetation planning","docAbstract":"Invasive annual weeds negatively impact ecosystem services and pose a major conservation threat on semiarid rangelands throughout the western United States. Rehabilitation of these rangelands is challenging due to interannual climate and subseasonal weather variability that impacts seed germination, seedling survival and establishment, annual weed dynamics, wildfire frequency, and soil stability. Rehabilitation and restoration outcomes could be improved by adopting a weather-centric approach that uses the full spectrum of available site-specific weather information from historical observations, seasonal climate forecasts, and climate-change projections. Climate data can be used retrospectively to interpret success or failure of past seedings by describing seasonal and longer-term patterns of environmental variability subsequent to planting. A more detailed evaluation of weather impacts on site conditions may yield more flexible adaptive-management strategies for rangeland restoration and rehabilitation, as well as provide estimates of transition probabilities between desirable and undesirable vegetation states. Skillful seasonal climate forecasts could greatly improve the cost efficiency of management treatments by limiting revegetation activities to time periods where forecasts suggest higher probabilities of successful seedling establishment. Climate-change projections are key to the application of current environmental models for development of mitigation and adaptation strategies and for management practices that require a multidecadal planning horizon. Adoption of new weather technology will require collaboration between land managers and revegetation specialists and modifications to the way we currently plan and conduct rangeland rehabilitation and restoration in the Intermountain West.","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2017.07.003","usgsCitation":"Hardegree, S.P., Abatzoglou, J.T., Brunson, M.W., Germino, M., Hegewisch, K.C., Moffet, C.A., Pilliod, D.S., Roundy, B.A., Boehm, A.R., and Meredith, G.R., 2018, Weather-centric rangeland revegetation planning: Rangeland Ecology and Management, v. 71, no. 1, p. 1-11, https://doi.org/10.1016/j.rama.2017.07.003.","productDescription":"11 p.","startPage":"1","endPage":"11","ipdsId":"IP-081305","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":498721,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10150/671080","text":"External Repository"},{"id":344996,"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":"599bf122e4b0b589267ed339","contributors":{"authors":[{"text":"Hardegree, Stuart P.","contributorId":195696,"corporation":false,"usgs":false,"family":"Hardegree","given":"Stuart","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":707927,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abatzoglou, John T.","contributorId":191729,"corporation":false,"usgs":false,"family":"Abatzoglou","given":"John","email":"","middleInitial":"T.","affiliations":[{"id":33345,"text":" University of Idaho","active":true,"usgs":false}],"preferred":false,"id":707928,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brunson, Mark W.","contributorId":195697,"corporation":false,"usgs":false,"family":"Brunson","given":"Mark","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":707929,"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":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":707925,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hegewisch, Katherine C.","contributorId":195698,"corporation":false,"usgs":false,"family":"Hegewisch","given":"Katherine","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":707930,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moffet, Corey A.","contributorId":195699,"corporation":false,"usgs":false,"family":"Moffet","given":"Corey","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":707931,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pilliod, David S. 0000-0003-4207-3518 dpilliod@usgs.gov","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":149254,"corporation":false,"usgs":true,"family":"Pilliod","given":"David","email":"dpilliod@usgs.gov","middleInitial":"S.","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":707926,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Roundy, Bruce A.","contributorId":178261,"corporation":false,"usgs":false,"family":"Roundy","given":"Bruce","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":707932,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Boehm, Alex R.","contributorId":195700,"corporation":false,"usgs":false,"family":"Boehm","given":"Alex","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":707933,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Meredith, Gwendwr R.","contributorId":195701,"corporation":false,"usgs":false,"family":"Meredith","given":"Gwendwr","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":707934,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"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":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":707935,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70190162,"text":"70190162 - 2018 - Fishing activities","interactions":[],"lastModifiedDate":"2021-01-07T19:01:52.884265","indexId":"70190162","displayToPublicDate":"2017-08-16T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Fishing activities","docAbstract":"Unlike the major anthropogenic changes that terrestrial and coastal habitats underwent during the last centuries such as deforestation, river engineering, agricultural practices or urbanism, those occurring underwater are veiled from our eyes and have continued nearly unnoticed. Only recent advances in remote sensing and deep marine sampling technologies have revealed the extent and magnitude of the anthropogenic impacts to the seafloor. In particular, bottom trawling, a fishing technique consisting of dragging a net and fishing gear over the seafloor to capture bottom-dwelling living resources has gained attention among the scientific community, policy makers and the general public due to its destructive effects on the seabed. Trawling gear produces acute impacts on biota and the physical substratum of the seafloor by disrupting the sediment column structure, overturning boulders, resuspending sediments and imprinting deep scars on muddy bottoms. Also, the repetitive passage of trawling gear over the same areas creates long-lasting, cumulative impacts that modify the cohesiveness and texture of sediments. It can be asserted nowadays that due to its recurrence, mobility and wide geographical extent, industrial trawling has become a major force driving seafloor change and affecting not only its physical integrity on short spatial scales but also imprinting measurable modifications to the geomorphology of entire continental margins.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Submarine geomorphology","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-57852-1_25","usgsCitation":"Oberle, F.K., Puig, P., and Martin, J., 2018, Fishing activities, chap. <i>of</i> Submarine geomorphology, p. 503-534, https://doi.org/10.1007/978-3-319-57852-1_25.","productDescription":"32 p.","startPage":"503","endPage":"534","ipdsId":"IP-081296","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":344882,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-19","publicationStatus":"PW","scienceBaseUri":"599559b5e4b0fe2b9fea6c2c","contributors":{"editors":[{"text":"Micallef, Aaron","contributorId":175297,"corporation":false,"usgs":false,"family":"Micallef","given":"Aaron","email":"","affiliations":[],"preferred":false,"id":707838,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Krastel, Sebastian","contributorId":175295,"corporation":false,"usgs":false,"family":"Krastel","given":"Sebastian","email":"","affiliations":[],"preferred":false,"id":707839,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Savini, Alessandra","contributorId":195671,"corporation":false,"usgs":false,"family":"Savini","given":"Alessandra","email":"","affiliations":[],"preferred":false,"id":707840,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Oberle, Ferdinand K. J. 0000-0001-8871-3619 foberle@usgs.gov","orcid":"https://orcid.org/0000-0001-8871-3619","contributorId":195642,"corporation":false,"usgs":true,"family":"Oberle","given":"Ferdinand","email":"foberle@usgs.gov","middleInitial":"K. J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":707754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Puig, Pere","contributorId":195643,"corporation":false,"usgs":false,"family":"Puig","given":"Pere","email":"","affiliations":[],"preferred":false,"id":707755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Jacobo","contributorId":195644,"corporation":false,"usgs":false,"family":"Martin","given":"Jacobo","email":"","affiliations":[],"preferred":false,"id":707756,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70190158,"text":"70190158 - 2018 - Corresponding long-term shifts in stream temperature and invasive fish migration","interactions":[],"lastModifiedDate":"2018-04-27T16:54:47","indexId":"70190158","displayToPublicDate":"2017-08-14T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Corresponding long-term shifts in stream temperature and invasive fish migration","docAbstract":"<p><span>By investigating historic trapping records of invasive sea lamprey (<i>Petromyzon mari</i>nus) throughout tributaries to the Laurentian Great Lakes, we found that upstream spawning migration timing was highly correlated with stream temperatures over large spatial and temporal scales. Furthermore, several streams in our study exceeded a critical spring thermal threshold (i.e., 15°C) and experienced peak spawning migration up to 30 days earlier since the 1980s, whereas others were relatively unchanged. Streams exhibiting warming trends and earlier migration were spatially clustered and generally found on the leeward side of the Great Lakes where the lakes most affect local climate. These findings highlight that all streams are not equally impacted by climate change and represent, to our knowledge, the first observation linking long-term changes in stream temperatures to shifts in migration timing of an invasive fish. Earlier sea lamprey migration in Great Lakes tributaries may improve young of the year growth and survival, but not limit their spatial distribution, making sea lamprey control more challenging.</span></p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2017-0195","usgsCitation":"McCann, E.L., Johnson, N., and Pangle, K., 2018, Corresponding long-term shifts in stream temperature and invasive fish migration: Canadian Journal of Fisheries and Aquatic Sciences, v. 75, no. 5, p. 772-778, https://doi.org/10.1139/cjfas-2017-0195.","productDescription":"7 p.","startPage":"772","endPage":"778","ipdsId":"IP-088972","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":469193,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/81153","text":"External 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Kevin","contributorId":195637,"corporation":false,"usgs":false,"family":"Pangle","given":"Kevin","affiliations":[],"preferred":false,"id":707740,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"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":6670,"text":"Lawrence Berkeley National Laboratory, Berkeley, CA","active":true,"usgs":false},{"id":16805,"text":"University of California, Merced","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":70195497,"text":"70195497 - 2018 - Temporal variation of tectonic tremor activity in southern Taiwan around the 2010 ML6.4 Jiashian Earthquake","interactions":[],"lastModifiedDate":"2018-02-20T10:20:49","indexId":"70195497","displayToPublicDate":"2017-07-31T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Temporal variation of tectonic tremor activity in southern Taiwan around the 2010 ML6.4 Jiashian Earthquake","docAbstract":"Deep tectonic tremor, which is extremely sensitive to small stress variations, could be used to\nmonitor fault-zone processes during large earthquake cycles and aseismic processes before\nlarge earthquakes. In this study, we develop an algorithm for the automatic detection and\nlocation of tectonic tremor beneath the southern Central Range of Taiwan and examine the\nspatio-temporal relationship between tremor and the 4 March 2010 ML6.4 Jiashian\nearthquake, located about 20 km from active tremor sources. We find that tremor in this\nregion has a relatively short duration, short recurrence time, and no consistent correlation\nwith surface GPS data. We find a short-term increase in the tremor rate 19 days before the\nJiashian mainshock, and around the time when the tremor rate began to rise, one GPS station\nrecorded a flip in its direction of motion. We hypothesize that tremor is driven by a slow-slip\nevent that preceded the occurrence of the shallower Jiashian mainshock, even though the\ninferred slip is too small to be observed by all GPS stations. Our study shows that tectonic\ntremor may reflect stress variation during the pre-nucleation process of a nearby earthquake.","language":"English","publisher":"Wiley","doi":"10.1002/2016JB013925","usgsCitation":"Chao, K., Peng, Z., Hsu, Y., Obara, K., Ching, K., Wu, C., Pu, H., Leu, P., and Wech, A., 2018, Temporal variation of tectonic tremor activity in southern Taiwan around the 2010 ML6.4 Jiashian Earthquake: Journal of Geophysical Research B: Solid Earth, v. 122, no. 7, p. 5417-5434, https://doi.org/10.1002/2016JB013925.","productDescription":"18 p.","startPage":"5417","endPage":"5434","ipdsId":"IP-082546","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":469195,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016jb013925","text":"Publisher Index 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University","active":true,"usgs":false}],"preferred":false,"id":728910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peng, Zhigang","contributorId":69432,"corporation":false,"usgs":true,"family":"Peng","given":"Zhigang","affiliations":[],"preferred":false,"id":728911,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hsu, Ya-Ju","contributorId":202563,"corporation":false,"usgs":false,"family":"Hsu","given":"Ya-Ju","email":"","affiliations":[{"id":36479,"text":"Academia Sinica, Taipei, Taiwan","active":true,"usgs":false}],"preferred":false,"id":728912,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Obara, Kazushige","contributorId":202564,"corporation":false,"usgs":false,"family":"Obara","given":"Kazushige","email":"","affiliations":[{"id":7267,"text":"University of Tokyo","active":true,"usgs":false}],"preferred":false,"id":728913,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ching, Kuo-En","contributorId":202565,"corporation":false,"usgs":false,"family":"Ching","given":"Kuo-En","email":"","affiliations":[{"id":36480,"text":"National Cheng Kung University","active":true,"usgs":false}],"preferred":false,"id":728914,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wu, Chunquan","contributorId":46871,"corporation":false,"usgs":true,"family":"Wu","given":"Chunquan","email":"","affiliations":[],"preferred":false,"id":728915,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pu, Hsin-Chieh","contributorId":202567,"corporation":false,"usgs":false,"family":"Pu","given":"Hsin-Chieh","email":"","affiliations":[{"id":36481,"text":"Central Weather Bureau, Taipei, Taiwan","active":true,"usgs":false}],"preferred":false,"id":728916,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Leu, Peih-Lin","contributorId":202568,"corporation":false,"usgs":false,"family":"Leu","given":"Peih-Lin","email":"","affiliations":[{"id":36481,"text":"Central Weather Bureau, Taipei, Taiwan","active":true,"usgs":false}],"preferred":false,"id":728917,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wech, Aaron 0000-0003-4983-1991","orcid":"https://orcid.org/0000-0003-4983-1991","contributorId":202561,"corporation":false,"usgs":true,"family":"Wech","given":"Aaron","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":728909,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"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":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":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":70189567,"text":"70189567 - 2018 - An empirical perspective for understanding climate change impacts in Switzerland","interactions":[],"lastModifiedDate":"2018-01-05T14:35:56","indexId":"70189567","displayToPublicDate":"2017-07-17T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3242,"text":"Regional Environmental Change","active":true,"publicationSubtype":{"id":10}},"title":"An empirical perspective for understanding climate change impacts in Switzerland","docAbstract":"<p><span>Planning for the future requires a detailed understanding of how climate change affects a wide range of systems at spatial scales that are relevant to humans. Understanding of climate change impacts can be gained from observational and reconstruction approaches and from numerical models that apply existing knowledge to climate change scenarios. Although modeling approaches are prominent in climate change assessments, observations and reconstructions provide insights that cannot be derived from simulations alone, especially at local to regional scales where climate adaptation policies are implemented. Here, we review the wealth of understanding that emerged from observations and reconstructions of ongoing and past climate change impacts in Switzerland, with wider applicability in Europe. We draw examples from hydrological, alpine, forest, and agricultural systems, which are of paramount societal importance, and are projected to undergo important changes by the end of this century. For each system, we review existing model-based projections, present what is known from observations, and discuss how empirical evidence may help improve future projections. A particular focus is given to better understanding thresholds, tipping points and feedbacks that may operate on different time scales. Observational approaches provide the grounding in evidence that is needed to develop local to regional climate adaptation strategies. Our review demonstrates that observational approaches should ideally have a synergistic relationship with modeling in identifying inconsistencies in projections as well as avenues for improvement. They are critical for uncovering unexpected relationships between climate and agricultural, natural, and hydrological systems that will be important to society in the future.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10113-017-1182-9","usgsCitation":"Henne, P., Bigalke, M., Buntgen, U., Colombaroli, D., Conedera, M., Feller, U., Frank, D., Fuhrer, J., Grosjean, M., Heiri, O., Luterbacher, J., Mestrot, A., Rigling, A., Rossler, O., Rohr, C., Rutishauser, T., Schwikowski, M., Stampfli, A., Szidat, S., Theurillat, J., Weingartner, R., Wilcke, W., and Tinner, W., 2018, An empirical perspective for understanding climate change impacts in Switzerland: Regional Environmental Change, v. 18, no. 1, p. 205-221, https://doi.org/10.1007/s10113-017-1182-9.","productDescription":"17 p.","startPage":"205","endPage":"221","ipdsId":"IP-077272","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science 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0000-0002-6793-6159","orcid":"https://orcid.org/0000-0002-6793-6159","contributorId":194724,"corporation":false,"usgs":false,"family":"Bigalke","given":"Moritz","email":"","affiliations":[],"preferred":false,"id":705212,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buntgen, Ulf 0000-0002-3821-0818","orcid":"https://orcid.org/0000-0002-3821-0818","contributorId":194725,"corporation":false,"usgs":false,"family":"Buntgen","given":"Ulf","email":"","affiliations":[],"preferred":false,"id":705213,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Colombaroli, Daniele 0000-0002-9632-2009","orcid":"https://orcid.org/0000-0002-9632-2009","contributorId":194726,"corporation":false,"usgs":false,"family":"Colombaroli","given":"Daniele","email":"","affiliations":[],"preferred":false,"id":705214,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conedera, Marco 0000-0003-3980-2142","orcid":"https://orcid.org/0000-0003-3980-2142","contributorId":194727,"corporation":false,"usgs":false,"family":"Conedera","given":"Marco","email":"","affiliations":[],"preferred":false,"id":705215,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Feller, Urs 0000-0001-7858-5721","orcid":"https://orcid.org/0000-0001-7858-5721","contributorId":194728,"corporation":false,"usgs":false,"family":"Feller","given":"Urs","email":"","affiliations":[],"preferred":false,"id":705216,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Frank, David","contributorId":194729,"corporation":false,"usgs":false,"family":"Frank","given":"David","affiliations":[],"preferred":false,"id":705217,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fuhrer, Jurg","contributorId":194730,"corporation":false,"usgs":false,"family":"Fuhrer","given":"Jurg","email":"","affiliations":[],"preferred":false,"id":705218,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Grosjean, Martin 0000-0002-3553-8842","orcid":"https://orcid.org/0000-0002-3553-8842","contributorId":150380,"corporation":false,"usgs":false,"family":"Grosjean","given":"Martin","email":"","affiliations":[],"preferred":false,"id":705219,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Heiri, Oliver 0000-0002-3957-5835","orcid":"https://orcid.org/0000-0002-3957-5835","contributorId":194731,"corporation":false,"usgs":false,"family":"Heiri","given":"Oliver","email":"","affiliations":[],"preferred":false,"id":705220,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Luterbacher, Jurg","contributorId":194732,"corporation":false,"usgs":false,"family":"Luterbacher","given":"Jurg","email":"","affiliations":[],"preferred":false,"id":705221,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mestrot, Adrien","contributorId":194733,"corporation":false,"usgs":false,"family":"Mestrot","given":"Adrien","email":"","affiliations":[],"preferred":false,"id":705222,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Rigling, Andreas","contributorId":194734,"corporation":false,"usgs":false,"family":"Rigling","given":"Andreas","email":"","affiliations":[],"preferred":false,"id":705223,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Rossler, Ole 0000-0003-2308-0907","orcid":"https://orcid.org/0000-0003-2308-0907","contributorId":194735,"corporation":false,"usgs":false,"family":"Rossler","given":"Ole","email":"","affiliations":[],"preferred":false,"id":705224,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Rohr, Christian 0000-0003-0283-6584","orcid":"https://orcid.org/0000-0003-0283-6584","contributorId":194736,"corporation":false,"usgs":false,"family":"Rohr","given":"Christian","email":"","affiliations":[],"preferred":false,"id":705225,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Rutishauser, This 0000-0003-0561-2164","orcid":"https://orcid.org/0000-0003-0561-2164","contributorId":194737,"corporation":false,"usgs":false,"family":"Rutishauser","given":"This","email":"","affiliations":[],"preferred":false,"id":705226,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Schwikowski, Margit 0000-0002-0856-5183","orcid":"https://orcid.org/0000-0002-0856-5183","contributorId":194738,"corporation":false,"usgs":false,"family":"Schwikowski","given":"Margit","email":"","affiliations":[],"preferred":false,"id":705227,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Stampfli, Andreas","contributorId":194739,"corporation":false,"usgs":false,"family":"Stampfli","given":"Andreas","email":"","affiliations":[],"preferred":false,"id":705228,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Szidat, Sonke","contributorId":194740,"corporation":false,"usgs":false,"family":"Szidat","given":"Sonke","email":"","affiliations":[],"preferred":false,"id":705229,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Theurillat, Jean-Paul","contributorId":194741,"corporation":false,"usgs":false,"family":"Theurillat","given":"Jean-Paul","email":"","affiliations":[],"preferred":false,"id":705230,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Weingartner, Rolf 0000-0001-9876-1104","orcid":"https://orcid.org/0000-0001-9876-1104","contributorId":194742,"corporation":false,"usgs":false,"family":"Weingartner","given":"Rolf","email":"","affiliations":[],"preferred":false,"id":705231,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Wilcke, Wolfgan 0000-0002-6031-4613","orcid":"https://orcid.org/0000-0002-6031-4613","contributorId":194743,"corporation":false,"usgs":false,"family":"Wilcke","given":"Wolfgan","email":"","affiliations":[],"preferred":false,"id":705232,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Tinner, Willy 0000-0001-7352-0144","orcid":"https://orcid.org/0000-0001-7352-0144","contributorId":169167,"corporation":false,"usgs":false,"family":"Tinner","given":"Willy","email":"","affiliations":[{"id":25430,"text":"University of Bern","active":true,"usgs":false}],"preferred":false,"id":705233,"contributorType":{"id":1,"text":"Authors"},"rank":23}]}}
,{"id":70189664,"text":"70189664 - 2018 - Reclamation after oil and gas development does not speed up succession or plant community recovery in big sagebrush ecosystems in Wyoming","interactions":[],"lastModifiedDate":"2018-01-10T19:11:19","indexId":"70189664","displayToPublicDate":"2017-07-16T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Reclamation after oil and gas development does not speed up succession or plant community recovery in big sagebrush ecosystems in Wyoming","docAbstract":"Article for intended outlet: Restoration Ecology. Abstract: Reclamation is an application of treatment(s) following a disturbance to promote succession and accelerate the return of target conditions. Previous studies have framed reclamation in the context of succession by studying its effectiveness in re-establishing late-successional plant communities. Re-establishment of these plant communities is especially important and potentially challenging in regions such as drylands and shrub steppe ecosystems where succession proceeds slowly.  Dryland shrub steppe ecosystems are frequently associated with areas rich in fossil-fuel energy sources, and as such the need for effective reclamation after disturbance from fossil-fuel-related energy development is great. Past research in this field has focused primarily on coal mines; few researchers have studied reclamation after oil and gas development. To address this research gap and to better understand the effect of reclamation on rates of succession in dryland shrub steppe ecosystems, we sampled oil and gas wellpads and adjacent undisturbed big sagebrush plant communities in Wyoming, USA and quantified the extent of recovery for major functional groups on reclaimed and unreclaimed (recovered via natural succession) wellpads relative to the undisturbed plant community. Reclamation increased the rate of recovery for all forb and grass species as a group and for perennial grasses, but did not affect other functional groups. Rather, analyses comparing recovery to environmental variables and time since wellpad abandonment showed that recovery of other groups were affected primarily by soil texture and time since wellpad abandonment. This is consistent with studies in other ecosystems where reclamation has been implemented, suggesting that reclamation may not help re-establish late-successional plant communities more quickly than they would re-establish naturally.","language":"English","publisher":"Society for Ecological Restoration","doi":"10.1111/rec.12543","usgsCitation":"Rottler, C.M., Burke, I.C., Palmquist, K.A., Bradford, J.B., and Lauenroth, W.K., 2018, Reclamation after oil and gas development does not speed up succession or plant community recovery in big sagebrush ecosystems in Wyoming: Restoration Ecology, v. 26, no. 1, p. 114-123, https://doi.org/10.1111/rec.12543.","productDescription":"10 p. 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 \"}}]}","volume":"26","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-16","publicationStatus":"PW","scienceBaseUri":"59706fb3e4b0d1f9f065a87a","contributors":{"authors":[{"text":"Rottler, Caitlin M.","contributorId":138853,"corporation":false,"usgs":false,"family":"Rottler","given":"Caitlin","email":"","middleInitial":"M.","affiliations":[{"id":12546,"text":"Univ of Wyoming, Department of Botany, 1000 E. University Ave., Laramie, WY 82071; Univ of WY, Program in Ecology, 1000 E. University Ave., Laramie, WY 82071 USA","active":true,"usgs":false}],"preferred":false,"id":705669,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burke, Ingrid C.","contributorId":127653,"corporation":false,"usgs":false,"family":"Burke","given":"Ingrid","email":"","middleInitial":"C.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":705670,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Palmquist, Kyle A.","contributorId":169517,"corporation":false,"usgs":false,"family":"Palmquist","given":"Kyle","email":"","middleInitial":"A.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":705671,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":705668,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lauenroth, William K.","contributorId":80982,"corporation":false,"usgs":false,"family":"Lauenroth","given":"William","email":"","middleInitial":"K.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":705672,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70189255,"text":"70189255 - 2018 - Used-habitat calibration plots: A new procedure for validating species distribution, resource selection, and step-selection models","interactions":[],"lastModifiedDate":"2018-04-27T16:55:34","indexId":"70189255","displayToPublicDate":"2017-07-06T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"Used-habitat calibration plots: A new procedure for validating species distribution, resource selection, and step-selection models","docAbstract":"<p><span>“Species distribution modeling” was recently ranked as one of the top five “research fronts” in ecology and the environmental sciences by ISI's Essential Science Indicators (Renner and Warton 2013), reflecting the importance of predicting how species distributions will respond to anthropogenic change. Unfortunately, species distribution models (SDMs) often perform poorly when applied to novel environments. Compounding on this problem is the shortage of methods for evaluating SDMs (hence, we may be getting our predictions wrong and not even know it). Traditional methods for validating SDMs quantify a model's ability to classify locations as used or unused. Instead, we propose to focus on how well SDMs can predict the characteristics of used locations. This subtle shift in viewpoint leads to a more natural and informative evaluation and validation of models across the entire spectrum of SDMs. Through a series of examples, we show how simple graphical methods can help with three fundamental challenges of habitat modeling: identifying missing covariates, non-linearity, and multicollinearity. Identifying habitat characteristics that are not well-predicted by the model can provide insights into variables affecting the distribution of species, suggest appropriate model modifications, and ultimately improve the reliability and generality of conservation and management recommendations.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ecog.03123","usgsCitation":"Fieberg, J.R., Forester, J.D., Street, G.M., Johnson, D.H., ArchMiller, A.A., and Matthiopoulos, J., 2018, Used-habitat calibration plots: A new procedure for validating species distribution, resource selection, and step-selection models: Ecography, v. 41, no. 5, p. 737-752, https://doi.org/10.1111/ecog.03123.","productDescription":"16 p.","startPage":"737","endPage":"752","ipdsId":"IP-078796","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":461147,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ecog.03123","text":"Publisher Index Page"},{"id":343437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"5","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-21","publicationStatus":"PW","scienceBaseUri":"595f4c33e4b0d1f9f057e2db","contributors":{"authors":[{"text":"Fieberg, John R. 0000-0002-3180-7021","orcid":"https://orcid.org/0000-0002-3180-7021","contributorId":194333,"corporation":false,"usgs":false,"family":"Fieberg","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":703757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Forester, James D.","contributorId":194334,"corporation":false,"usgs":false,"family":"Forester","given":"James","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":703758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Street, Garrett M.","contributorId":194335,"corporation":false,"usgs":false,"family":"Street","given":"Garrett","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":703759,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Douglas H. 0000-0002-7778-6641 douglas_h_johnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":1387,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas","email":"douglas_h_johnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":703756,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"ArchMiller, Althea A.","contributorId":194336,"corporation":false,"usgs":false,"family":"ArchMiller","given":"Althea","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":703760,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Matthiopoulos, Jason","contributorId":194337,"corporation":false,"usgs":false,"family":"Matthiopoulos","given":"Jason","email":"","affiliations":[],"preferred":false,"id":703761,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70193826,"text":"70193826 - 2018 - Evaluating stocking efficacy in an ecosystem undergoing oligotrophication","interactions":[],"lastModifiedDate":"2018-06-04T16:20:14","indexId":"70193826","displayToPublicDate":"2017-07-01T00:00:00","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":"Evaluating stocking efficacy in an ecosystem undergoing oligotrophication","docAbstract":"<p>Oligotrophication has negatively affected fisheries production in many freshwater ecosystems and could conceivably reduce the efficacy of stockings used to enhance fisheries. In Lake Michigan, offshore oligotrophication has occurred since the 1970s, owing to reductions in total phosphorus (TP) inputs and nearshore sequestration of TP by nonindigenous dreissenid mussels. We evaluated simultaneous effects of stock enhancement and oligotrophication on salmonine species (Chinook salmon <i class=\"EmphasisTypeItalic \">Oncorhynchus tshawytscha</i>, lake trout <i class=\"EmphasisTypeItalic \">Salvelinus namaycush</i>, and steelhead <i class=\"EmphasisTypeItalic \">O. mykiss</i>) that support valuable recreational fisheries. We employed a novel application of an Ecopath with Ecosim model by conducting a full factorial simulation experiment. Our design included multiple levels of salmonine stocking, consumption by invasive quagga mussels (<i class=\"EmphasisTypeItalic \">Dreissena bugensis</i>), and TP that were informed by manager interests. Under all levels of TP and quagga mussel consumption, our results showed that stock enhancement could still increase salmonine biomass, but positive responses were stronger for lake trout and steelhead than Chinook salmon. Simulations showed that quagga mussel consumption has deleterious effects on pelagic-oriented prey fishes and Chinook salmon, which feed almost exclusively on the pelagic-oriented alewife (<i class=\"EmphasisTypeItalic \">Alosa pseudoharengus</i>). In summary, results from our simulation experiment suggested that lake trout and steelhead are better suited to the current ecosystem than Chinook salmon, and therefore, stock enhancement provides the highest gains for these two species. Furthermore, simulated biomass of all recreational salmonine species increased with increasing TP, indicating the need for managers to consider how potential future oligotrophication will limit the carrying capacity of salmonine biomass in Lake Michigan </p>","language":"English","publisher":"Springer","doi":"10.1007/s10021-017-0173-5","usgsCitation":"Kao, Y., Rogers, M.W., and Bunnell, D., 2018, Evaluating stocking efficacy in an ecosystem undergoing oligotrophication: Ecosystems, v. 21, no. 4, p. 600-618, https://doi.org/10.1007/s10021-017-0173-5.","productDescription":"19 p.","startPage":"600","endPage":"618","ipdsId":"IP-087701","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":348246,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Michigan","volume":"21","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-25","publicationStatus":"PW","scienceBaseUri":"5a07e8b7e4b09af898c8cb99","contributors":{"authors":[{"text":"Kao, Yu-Chun 0000-0001-5552-909X ykao@usgs.gov","orcid":"https://orcid.org/0000-0001-5552-909X","contributorId":192240,"corporation":false,"usgs":true,"family":"Kao","given":"Yu-Chun","email":"ykao@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":720650,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogers, Mark W. 0000-0001-7205-5623 mwrogers@usgs.gov","orcid":"https://orcid.org/0000-0001-7205-5623","contributorId":4590,"corporation":false,"usgs":true,"family":"Rogers","given":"Mark","email":"mwrogers@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":720651,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bunnell, David B. 0000-0003-3521-7747 dbunnell@usgs.gov","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":3139,"corporation":false,"usgs":true,"family":"Bunnell","given":"David B.","email":"dbunnell@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":720652,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"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":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","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.  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","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 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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":70249244,"text":"70249244 - 2018 - Defining and classifying migratory habitats as sources and sinks: The migratory pathway approach","interactions":[],"lastModifiedDate":"2023-10-03T11:54:03.817211","indexId":"70249244","displayToPublicDate":"2017-06-08T06:51:09","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Defining and classifying migratory habitats as sources and sinks: The migratory pathway approach","docAbstract":"<ol class=\"\"><li>Understanding and conserving migratory species requires a method for characterizing the seasonal flow of animals among habitats. Source-sink theory describes the metapopulation dynamics of species by classifying habitats as population sources (i.e. net contributors) or sinks (i.e. net substractors). Migratory species may have non-breeding habitats important to the species (e.g. overwintering or stopover habitats) that traditional source-sink theory would classify as sinks because these habitats produce no individuals. Conversely, existing migratory network models can evaluate the relative contribution of non-breeding nodes, but these models make an equilibrium assumption that is difficult to meet when examining real migratory populations.</li><li>We extend a pathway-based metric allowing breeding habitats, non-breeding habitats and migratory pathways connecting these habitats to be classified as sources or sinks. Rather than being based on whether place- or season-specific births exceed deaths, our approach quantifies the total demographic contribution from a node or migratory pathway over a flexibly defined yet limited time period across an organism's life cycle. As such, it provides a snapshot of a migratory system and therefore does not require assumptions associated with equilibrium dynamics.</li><li>We first develop a generalizable mathematical notation and then demonstrate how the metric may be used with two case studies: the common loon (<i>Gavia immer</i>) and Yellowstone cutthroat trout (<i>Oncorhynchus clarkii bouvieri</i>). These examples highlight how stressors can impact stopover and wintering habitats (loons) and habitat management targeting migratory pathways can improve population status (trout).</li><li><i>Synthesis and applications</i>. Each of the two case studies presented describes how effects at one location are felt by populations in another through the seasonal flow of individuals. The contribution metric we present should be helpful in allocating regulatory and management attention to times and locations most critical to migratory species persistence.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.12952","usgsCitation":"Erickson, R.A., Diffendorfer, J., Norris, R., Bieri, J., Earl, J., Federico, P., Fryxell, J., Long, K., Mattsson, B., Sample, C., Wiederholt, R., and Thogmartin, W.E., 2018, Defining and classifying migratory habitats as sources and sinks: The migratory pathway approach: Journal of Applied Ecology, v. 55, no. 1, p. 108-117, https://doi.org/10.1111/1365-2664.12952.","productDescription":"10 p.","startPage":"108","endPage":"117","ipdsId":"IP-078226","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":469200,"rank":1,"type":{"id":40,"text":"Open Access 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,{"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}]}}
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