{"pageNumber":"615","pageRowStart":"15350","pageSize":"25","recordCount":165270,"records":[{"id":70210283,"text":"70210283 - 2020 - Gulls as sources of environmental contamination by colistin-resistant bacteria","interactions":[],"lastModifiedDate":"2020-05-29T15:38:31.307499","indexId":"70210283","displayToPublicDate":"2020-03-10T10:33:05","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Gulls as sources of environmental contamination by colistin-resistant bacteria","docAbstract":"In 2015, the mcr-1 gene was discovered in Escherichia coli in domestic swine in China that conferred resistance to colistin, an antibiotic of last resort used in treating multi-drug resistant bacterial infections in humans. Since then, mcr-1 was found in other human and animal populations, including wild gulls. Because gulls could disseminate the mcr-1 gene, we conducted an experiment to assess whether gulls are readily colonized with mcr-1 positive E. coli, their shedding patterns, transmission among conspecifics, and environmental deposition. Shedding of mcr-1 E. coli by small gull flocks followed a lognormal curve and gulls shed one strain >101 log10 CFU/g in their feces for 16.4 days, which persisted in the environment for 29.3 days. Because gulls are mobile and can shed antimicrobial-resistant bacteria for extended periods, gulls may facilitate transmission of mcr-1 positive E. coli to humans and livestock through fecal contamination of water, public areas and agricultural operations.","language":"English","publisher":"Nature","doi":"10.1038/s41598-020-61318-2","usgsCitation":"Franklin, A.B., Ramey, A.M., Bentler, K.T., Barret, N.L., McCurdy, L.M., Ahlstrom, C., Bonnedahl, J., Shriner, S.A., and Chandler, J.C., 2020, Gulls as sources of environmental contamination by colistin-resistant bacteria: Scientific Reports, v. 10, 4408, 10 p., https://doi.org/10.1038/s41598-020-61318-2.","productDescription":"4408, 10 p.","ipdsId":"IP-111646","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":457436,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-020-61318-2","text":"Publisher Index Page"},{"id":375147,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","noUsgsAuthors":false,"publicationDate":"2020-03-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Franklin, Alan B.","contributorId":101999,"corporation":false,"usgs":false,"family":"Franklin","given":"Alan","email":"","middleInitial":"B.","affiliations":[{"id":12434,"text":"USDA, Wildlife Services, National Wildlife Research Center","active":true,"usgs":false}],"preferred":false,"id":789942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":789943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bentler, Kevin T","contributorId":223871,"corporation":false,"usgs":false,"family":"Bentler","given":"Kevin","email":"","middleInitial":"T","affiliations":[{"id":40781,"text":"USDA/APHIS/WS, National Wildlife Research Center","active":true,"usgs":false}],"preferred":false,"id":789944,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barret, Nicole L","contributorId":224992,"corporation":false,"usgs":false,"family":"Barret","given":"Nicole","email":"","middleInitial":"L","affiliations":[{"id":41016,"text":"U.S. Department of Agriculture National Wildlife Research Center","active":true,"usgs":false}],"preferred":false,"id":789945,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCurdy, Loredana M","contributorId":224993,"corporation":false,"usgs":false,"family":"McCurdy","given":"Loredana","email":"","middleInitial":"M","affiliations":[{"id":41016,"text":"U.S. Department of Agriculture National Wildlife Research Center","active":true,"usgs":false}],"preferred":false,"id":789946,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ahlstrom, Christina 0000-0001-5414-8076","orcid":"https://orcid.org/0000-0001-5414-8076","contributorId":214540,"corporation":false,"usgs":true,"family":"Ahlstrom","given":"Christina","email":"","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":789947,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bonnedahl, Jonas","contributorId":181800,"corporation":false,"usgs":false,"family":"Bonnedahl","given":"Jonas","email":"","affiliations":[],"preferred":false,"id":789948,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shriner, Susan A.","contributorId":168690,"corporation":false,"usgs":false,"family":"Shriner","given":"Susan","email":"","middleInitial":"A.","affiliations":[{"id":13407,"text":"Colorado State Univ.","active":true,"usgs":false}],"preferred":false,"id":789949,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Chandler, Jeffrey C","contributorId":223870,"corporation":false,"usgs":false,"family":"Chandler","given":"Jeffrey","email":"","middleInitial":"C","affiliations":[{"id":40781,"text":"USDA/APHIS/WS, National Wildlife Research Center","active":true,"usgs":false}],"preferred":false,"id":789950,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70208809,"text":"sir20195127 - 2020 - An enhanced hydrologic stream network based on the NHDPlus medium resolution dataset","interactions":[],"lastModifiedDate":"2022-04-25T19:26:27.608939","indexId":"sir20195127","displayToPublicDate":"2020-03-10T10:15:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5127","displayTitle":"An Enhanced Hydrologic Stream Network Based on the NHDPlus Medium Resolution Dataset","title":"An enhanced hydrologic stream network based on the NHDPlus medium resolution dataset","docAbstract":"<p>The National Hydrography Dataset Plus, Version 2.1 (NHDPlusV2.1) is an attribute-rich digital stream network for the conterminous United States, serving as a foundational infrastructure for reporting hydrologic information at both regional and national scales. SPAtially Referenced Regressions On Watershed attributes (SPARROW) is a process-based statistical model that relies on a digital hydrologic network like NHDPlusV2.1 to establish spatial relations between quantities of monitored contaminant loads and contaminant sources, accounting for the physical characteristics along flow paths affecting contaminant transport. The U.S. Geological Survey National Water Quality Assessment project adopted and modified the medium-resolution NHDPlusV2.1 network for use as the primary framework supporting SPARROW modeling. This report describes the enhancements made to improve the routing capabilities and the value-added attributes of NHDPlusV2.1 to support modeling and other hydrologic analyses. These enhancements include corrections to inconsistencies in network/routing information, filling in missing attribute values of associated characteristics, accounting of water use affecting flow, new variables useful for interpreting network data, revised flowline attributes such as slope and flow, and incorporation of ancillary spatial data into the network. The resulting dataset containing the enhancements to the network is named E2NHDPlusV2_US. Although the enhancements described in the report were developed for use in SPARROW modeling, the enhancements are expected to be useful for a wide variety of hydrologic studies within the United States.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195127","usgsCitation":"Brakebill, J.W., Schwarz, G.E., and Wieczorek, M.E., 2020, An enhanced hydrologic stream network based on the NHDPlus medium resolution dataset: U.S. Geological Survey Scientific Investigations Report 2019–5127, 49 p., https://doi.org/10.3133/sir20195127.","productDescription":"Report: vii, 49 p.; Data Release","numberOfPages":"62","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-098180","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":372768,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P986KZEM","text":"USGS data 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            [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:gs-w_opp_nawqa_science_team@usgs.gov\" data-mce-href=\"mailto:gs-w_opp_nawqa_science_team@usgs.gov\">NAWQA Science Team</a><br><a href=\"https://www.usgs.gov/water-resources/national-water-quality-program\" data-mce-href=\"https://www.usgs.gov/water-resources/national-water-quality-program\">National Water Quality Program</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive, MS 413<br>Reston, VA 20191-0002</p>","tableOfContents":"<ul><li>Foreword</li><li>Abstract</li><li>Introduction</li><li>Material and Methods</li><li>Validation</li><li>Summary and Conclusions</li><li>References Cited</li><li>Appendix 1. Description of Addition and Removal Events Spreadsheet</li><li>Appendix 2. Description of Methods Used to Update Streamflow Estimates</li><li>Appendix 3. Description of Methods Used to Update Slope Estimates</li><li>Appendix 4. Description of Attributes in E2NHDPlusV2_us</li><li>Appendix 5. Description of Selected Ancillary Geospatial Dataset Variables Assigned to the Catchments and Flowlines of NHDPlusV2.1</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2020-03-09","noUsgsAuthors":false,"publicationDate":"2020-03-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Brakebill, John W. 0000-0001-9235-6810 jwbrakeb@usgs.gov","orcid":"https://orcid.org/0000-0001-9235-6810","contributorId":1061,"corporation":false,"usgs":true,"family":"Brakebill","given":"John","email":"jwbrakeb@usgs.gov","middleInitial":"W.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":783475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwarz, Gregory E. 0000-0002-9239-4566 gschwarz@usgs.gov","orcid":"https://orcid.org/0000-0002-9239-4566","contributorId":213621,"corporation":false,"usgs":true,"family":"Schwarz","given":"Gregory","email":"gschwarz@usgs.gov","middleInitial":"E.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":783476,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wieczorek, Michael E. 0000-0003-0999-5457 mewieczo@usgs.gov","orcid":"https://orcid.org/0000-0003-0999-5457","contributorId":178736,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael E.","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":783477,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70210922,"text":"70210922 - 2020 - Soil water availability shapes species richness in mid-latitude shrub steppe plant communities","interactions":[],"lastModifiedDate":"2020-07-03T14:18:34.759345","indexId":"70210922","displayToPublicDate":"2020-03-10T09:11:59","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2490,"text":"Journal of Vegetation Science","active":true,"publicationSubtype":{"id":10}},"title":"Soil water availability shapes species richness in mid-latitude shrub steppe plant communities","docAbstract":"<h3 id=\"jvs12874-sec-0001-title\" class=\"article-section__sub-title section1\">Questions</h3><p>Ecological communities are controlled by multiple, interacting abiotic and biotic factors that influence the distribution, abundance, and diversity of species. These processes jointly determine resource availability, resource competition, and ultimately species richness. For many terrestrial ecosystems in dryland climates, soil water availability is the most frequent limiting resource for plant species. We used field sampling coupled with process‐based soil water balance modeling to explore the relative importance of multiple macroclimatic, ecohydrological, and biotic variables on plant species and functional type richness at the landscape scale in dryland plant communities.</p><h3 id=\"jvs12874-sec-0002-title\" class=\"article-section__sub-title section1\">Location</h3><p>Dryland plant communities dominated by big sagebrush (<i>Artemisia tridentata<span>&nbsp;</span></i>) that span climatic and elevational gradients in Wyoming, USA.</p><h3 id=\"jvs12874-sec-0003-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We quantified species richness at 1,000&nbsp;m<sup>2</sup><span>&nbsp;</span>and used multiple regression to determine whether mean climatic conditions, multiple metrics of soil moisture from a soil water balance model (SOILWAT2), soil physical and chemical properties, and shrub stand structure (biotic) variables were related to species and functional type richness.</p><h3 id=\"jvs12874-sec-0004-title\" class=\"article-section__sub-title section1\">Results</h3><p>Species richness varied between 16 and 54 across sites. We found that species and functional type richness were related to both macroclimate and ecohydrology, but ecohydrology explained slightly more variation than climate. Biotic variables were always secondary to macroclimate and ecohydrology in our models. Variance partitioning revealed that large portions of variability in species (~54%), forb (~47%), and grass (~40%) richness were explained by ecohydrological variables.</p><h3 id=\"jvs12874-sec-0005-title\" class=\"article-section__sub-title section1\">Conclusions</h3><p>Our results highlight the importance of the spatial and temporal distribution of soil water for dryland plant species richness and suggest that documenting the ways in which climate, vegetation, and soil properties interact to determine soil water availability is critical for understanding biodiversity patterns in dryland plant communities. This work has relevance for other mid‐latitude, shrub‐dominated dryland plant communities where soil water availability strongly influences ecosystem structure and function.</p>","language":"English","publisher":"Wiley","doi":"10.1111/jvs.12874","usgsCitation":"Jordan, S., Palmquist, K.A., Bradford, J., and Lauenroth, W.K., 2020, Soil water availability shapes species richness in mid-latitude shrub steppe plant communities: Journal of Vegetation Science, v. 31, no. 4, p. 646-657, https://doi.org/10.1111/jvs.12874.","productDescription":"12 p.","startPage":"646","endPage":"657","ipdsId":"IP-101810","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":376122,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-110.048476,40.997555],[-110.121639,40.997101],[-110.125709,40.99655],[-110.237848,40.995427],[-110.250709,40.996089],[-110.375714,40.994947],[-110.500718,40.994746],[-110.539819,40.996346],[-110.715026,40.996347],[-110.750727,40.996847],[-111.046723,40.997959],[-111.046551,41.251716],[-111.0466,41.360692],[-111.046264,41.377731],[-111.045789,41.565571],[-111.045818,41.579845],[-111.046689,42.001567],[-111.047109,42.142497],[-111.047107,42.148971],[-111.047058,42.182672],[-111.047097,42.194773],[-111.047074,42.280787],[-111.04708,42.34942],[-111.046801,42.504946],[-111.046719,42.513118],[-111.046017,42.582723],[-111.043564,42.722624],[-111.044135,42.874924],[-111.043959,42.96445],[-111.043957,42.969482],[-111.043924,42.975063],[-111.044129,43.018702],[-111.044156,43.020052],[-111.044206,43.022614],[-111.044034,43.024581],[-111.044034,43.024844],[-111.044033,43.026411],[-111.044094,43.02927],[-111.043997,43.041415],[-111.044058,43.04464],[-111.044063,43.046302],[-111.044086,43.054819],[-111.044117,43.060309],[-111.04415,43.066172],[-111.044162,43.068222],[-111.044143,43.072364],[-111.044235,43.177121],[-111.044266,43.177236],[-111.044232,43.18444],[-111.044168,43.189244],[-111.044229,43.195579],[-111.044617,43.31572],[-111.045205,43.501136],[-111.045706,43.659112],[-111.04588,43.681033],[-111.046118,43.684902],[-111.046051,43.685812],[-111.04611,43.687848],[-111.046421,43.722059],[-111.046435,43.726545],[-111.04634,43.726957],[-111.046715,43.815832],[-111.046515,43.908376],[-111.046917,43.974978],[-111.047064,43.983467],[-111.047349,43.999921],[-111.049077,44.020072],[-111.048751,44.060403],[-111.048751,44.060838],[-111.048633,44.062903],[-111.048452,44.114831],[-111.049119,44.124923],[-111.049695,44.353626],[-111.049148,44.374925],[-111.049216,44.435811],[-111.049194,44.438058],[-111.048974,44.474072],[-111.055208,44.624927],[-111.055333,44.666263],[-111.055511,44.725343],[-111.056416,44.749928],[-111.056888,44.866658],[-111.055629,44.933578],[-111.056207,44.935901],[-111.055199,45.001321],[-111.044275,45.001345],[-110.785008,45.002952],[-110.761554,44.999934],[-110.750767,44.997948],[-110.705272,44.992324],[-110.552433,44.992237],[-110.547165,44.992459],[-110.48807,44.992361],[-110.402927,44.99381],[-110.362698,45.000593],[-110.342131,44.999053],[-110.324441,44.999156],[-110.28677,44.99685],[-110.199503,44.996188],[-110.110103,45.003905],[-110.026347,45.003665],[-110.025544,45.003602],[-109.99505,45.003174],[-109.875735,45.003275],[-109.798687,45.002188],[-109.75073,45.001605],[-109.663673,45.002536],[-109.574321,45.002631],[-109.386432,45.004887],[-109.375713,45.00461],[-109.269294,45.005283],[-109.263431,45.005345],[-109.103445,45.005904],[-109.08301,44.99961],[-109.062262,44.999623],[-108.621313,45.000408],[-108.578484,45.000484],[-108.565921,45.000578],[-108.500679,44.999691],[-108.271201,45.000251],[-108.249345,44.999458],[-108.238139,45.000206],[-108.218479,45.000541],[-108.14939,45.001062],[-108.000663,45.001223],[-107.997353,45.001565],[-107.911743,45.001292],[-107.750654,45.000778],[-107.608854,45.00086],[-107.607824,45.000929],[-107.49205,45.00148],[-107.351441,45.001407],[-107.13418,45.000109],[-107.125633,44.999388],[-107.105685,44.998734],[-107.084939,44.996599],[-107.074996,44.997004],[-107.050801,44.996424],[-106.892875,44.995947],[-106.888773,44.995885],[-106.263586,44.993788],[-106.024814,44.993688],[-105.928184,44.993647],[-105.914258,44.999986],[-105.913382,45.000941],[-105.848065,45.000396],[-105.076607,45.000347],[-105.038405,45.000345],[-105.025266,45.00029],[-105.019284,45.000329],[-105.01824,45.000437],[-104.765063,44.999183],[-104.759855,44.999066],[-104.72637,44.999518],[-104.665171,44.998618],[-104.663882,44.998869],[-104.470422,44.998453],[-104.470117,44.998453],[-104.250145,44.99822],[-104.057698,44.997431],[-104.055914,44.874986],[-104.056496,44.867034],[-104.055963,44.768236],[-104.055963,44.767962],[-104.055934,44.72372],[-104.05587,44.723422],[-104.055777,44.700466],[-104.055938,44.693881],[-104.05581,44.691343],[-104.055877,44.571016],[-104.055892,44.543341],[-104.055927,44.51773],[-104.055389,44.249983],[-104.054487,44.180381],[-104.054562,44.141081],[-104.05495,43.93809],[-104.055077,43.936535],[-104.055488,43.853477],[-104.055488,43.853476],[-104.055138,43.750421],[-104.055133,43.747105],[-104.054902,43.583852],[-104.054885,43.583512],[-104.05484,43.579368],[-104.055032,43.558603],[-104.054787,43.503328],[-104.054786,43.503072],[-104.054779,43.477815],[-104.054766,43.428914],[-104.054614,43.390949],[-104.054403,43.325914],[-104.054218,43.30437],[-104.053884,43.297047],[-104.053876,43.289801],[-104.053127,43.000585],[-104.052863,42.754569],[-104.052809,42.749966],[-104.052583,42.650062],[-104.052741,42.633982],[-104.052586,42.630917],[-104.052773,42.611766],[-104.052775,42.61159],[-104.052775,42.610813],[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 \"}}]}","volume":"31","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-05-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Jordan, Samuel E. 0000-0001-6074-3330","orcid":"https://orcid.org/0000-0001-6074-3330","contributorId":228826,"corporation":false,"usgs":false,"family":"Jordan","given":"Samuel E.","affiliations":[],"preferred":false,"id":792148,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":792149,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":792150,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":792151,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70215559,"text":"70215559 - 2020 - Probabilistic categorical groundwater salinity mapping from airborne electromagnetic data adjacent to California’s Lost Hills and Belridge oil fields","interactions":[],"lastModifiedDate":"2020-10-23T14:06:56.145727","indexId":"70215559","displayToPublicDate":"2020-03-10T09:01:37","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Probabilistic categorical groundwater salinity mapping from airborne electromagnetic data adjacent to California’s Lost Hills and Belridge oil fields","docAbstract":"<div class=\"article-section__content en main\"><p>Growing water stress has led to emerging interest in protecting fresh and brackish groundwater as a potential supplement to water supplies and raised questions about factors that could affect the future quality of fresh and brackish aquifers. Limited well infrastructure, particularly in regions where elevated salinity has led to limited historical groundwater development, hinders traditional mapping of salinity distributions through groundwater sampling. This paper presents a quantitative salinity mapping approach of the upper 300&nbsp;m using high‐resolution, regionally comprehensive resistivity models derived from Bayesian inversion of an airborne electromagnetic survey adjacent to the Lost Hills and Belridge oil fields in the southwestern San Joaquin Valley of California. Using local water quality observations as an interpretational foundation, a probabilistic approach yields maps of fresh, saline, and brackish groundwater while quantifying joint uncertainty inherited from the geophysical data and interpretational relations. Saline and fresh regions are mapped with relatively high confidence in many locations, while areas of lower confidence, particularly at depth, can be mapped as their most probable salinity category while reflecting the relative uncertainty in the interpretation. These maps identify a stratified salinity structure, where saline water commonly occurs in the surficial aquifer overlying fresher groundwater in the Tulare aquifer, separated by regional confining clay layers. Downgradient of unlined surface water diversions, recharge of imported surface water results in relatively fresh groundwater throughout the depth of investigation.</p></div>","language":"English","publisher":"Wiley","doi":"10.1029/2019WR026273","usgsCitation":"Ball, L.B., Davis, T., Minsley, B.J., Gillespie, J., and Landon, M.K., 2020, Probabilistic categorical groundwater salinity mapping from airborne electromagnetic data adjacent to California’s Lost Hills and Belridge oil fields: Water Resources Research, v. 56, no. 6, e2019WR026273, 20 p., https://doi.org/10.1029/2019WR026273.","productDescription":"e2019WR026273, 20 p.","ipdsId":"IP-111364","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":457439,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019wr026273","text":"Publisher Index Page"},{"id":437063,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90SWJAV","text":"USGS data release","linkHelpText":"Supporting groundwater salinity data used for salinity mapping adjacent to the Lost Hills and Belridge oil fields, Kern County, California"},{"id":437062,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7G44PKR","text":"USGS data release","linkHelpText":"Airborne electromagnetic and magnetic survey, southwestern San Joaquin Valley near Lost Hills, California, 2016"},{"id":379689,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.564208984375,\n              35.380092992092145\n            ],\n            [\n              -118.597412109375,\n              35.380092992092145\n            ],\n            [\n              -118.597412109375,\n              35.96022296929667\n            ],\n            [\n              -119.564208984375,\n              35.96022296929667\n            ],\n            [\n              -119.564208984375,\n              35.380092992092145\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"56","issue":"6","noUsgsAuthors":false,"publicationDate":"2020-06-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":802731,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Tracy 0000-0003-0253-6661 tadavis@usgs.gov","orcid":"https://orcid.org/0000-0003-0253-6661","contributorId":176921,"corporation":false,"usgs":true,"family":"Davis","given":"Tracy","email":"tadavis@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":802732,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Minsley, Burke J. 0000-0003-1689-1306 bminsley@usgs.gov","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":697,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"bminsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":802733,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gillespie, Janice M. 0000-0003-1667-3472","orcid":"https://orcid.org/0000-0003-1667-3472","contributorId":203915,"corporation":false,"usgs":true,"family":"Gillespie","given":"Janice M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":802734,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Landon, Matthew K. 0000-0002-5766-0494 landon@usgs.gov","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":392,"corporation":false,"usgs":true,"family":"Landon","given":"Matthew","email":"landon@usgs.gov","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":802735,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70210027,"text":"70210027 - 2020 - Landscape dominance of introduced herpetofauna on an oceanic island","interactions":[],"lastModifiedDate":"2020-05-12T12:37:02.84014","indexId":"70210027","displayToPublicDate":"2020-03-10T07:33:30","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Landscape dominance of introduced herpetofauna on an oceanic island","docAbstract":"Habitat loss and fragmentation can negatively impact native wildlife and facilitate establishment\nof introduced species. On islands, introduced species are a primary cause of\nextinction and can alter community membership through predation or competition for\nresources. Consequently, elucidating the distribution of introduced and native species can\nimprove understanding of the potential synergistic effects of land use and introduced\nspecies on native island species. The island of Saipan in the Commonwealth of the\nNorthern Mariana Islands has a long history of herpetofaunal introductions. However, the\ndistribution of native and introduced herpetofauna on Saipan is poorly understood, and\nthe effects of land use and introduced species on the native herpetofauna are largely\nunknown. In 2018, we randomly selected sites on Saipan from established island-wide\ntransects and used multiple detection methods, repeated surveys, and single-season occupancy models to account for imperfect detection and construct species distribution\nmodels. We investigated the role of biotic and abiotic factors in explaining occupancy and\ndetection of Saipan’s native and introduced herpetofauna. We recorded 2568 observations\nrepresenting 1 amphibian and 11 reptile species. Introduced species were encountered 3.8\ntimes more frequently and were 33% more broadly distributed than native species. Occupancy\nfor the native forest dwelling species Emoia caeruleocauda and Perochirus ateles\nwas positively associated with elevation and enhanced vegetation index, suggesting that\nhuman habitat modification at lower elevations may be reducing their suitable habitat.We\nfound evidence of a range contraction for the imperiled P. ateles and suggest potential\navenues for implementing targeted conservation of native herpetofauna.","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2020.e00984","collaboration":"","usgsCitation":"Hileman, E.T., Eichelberger, B.A., Liske-Clark, J., Barnhart, P.D., Reed, R., Yackel Adams, A.A., and Nafus, M.G., 2020, Landscape dominance of introduced herpetofauna on an oceanic island: Global Ecology and Conservation, v. 22, e00984, 17 p., https://doi.org/10.1016/j.gecco.2020.e00984.","productDescription":"e00984, 17 p.","ipdsId":"IP-115809","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":457441,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2020.e00984","text":"Publisher Index Page"},{"id":437064,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90IC37O","text":"USGS data release","linkHelpText":"Detection and non-detection records of Saipan's terrestrial herpetofauna, 2018"},{"id":374648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"","otherGeospatial":"Northern Mariana Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              145.37109375,\n              14.806749372133767\n            ],\n            [\n              145.931396484375,\n              14.806749372133767\n            ],\n            [\n              145.931396484375,\n              15.47485740268724\n            ],\n            [\n              145.37109375,\n              15.47485740268724\n            ],\n            [\n              145.37109375,\n              14.806749372133767\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"22","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hileman, Eric Thomas 0000-0002-7044-370X","orcid":"https://orcid.org/0000-0002-7044-370X","contributorId":224633,"corporation":false,"usgs":true,"family":"Hileman","given":"Eric","email":"","middleInitial":"Thomas","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":788861,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eichelberger, Bradley A. 0000-0002-7208-3437","orcid":"https://orcid.org/0000-0002-7208-3437","contributorId":224634,"corporation":false,"usgs":false,"family":"Eichelberger","given":"Bradley","email":"","middleInitial":"A.","affiliations":[{"id":40899,"text":"Division of Fish and Wildlife, Department of Lands and Natural Resources, Saipan, CNMI","active":true,"usgs":false}],"preferred":false,"id":788862,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liske-Clark, Jill","contributorId":216449,"corporation":false,"usgs":false,"family":"Liske-Clark","given":"Jill","email":"","affiliations":[{"id":39432,"text":"Division of Fish & Wildlife, Commonwealth of the Northern Marianas, Lower Base, Saipan Commonwealth of the Northern Mariana Islands","active":true,"usgs":false}],"preferred":false,"id":788863,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnhart, Patrick D 0000-0002-3966-9444","orcid":"https://orcid.org/0000-0002-3966-9444","contributorId":224635,"corporation":false,"usgs":true,"family":"Barnhart","given":"Patrick","email":"","middleInitial":"D","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":788864,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reed, Robert 0000-0001-8349-6168 reedr@usgs.gov","orcid":"https://orcid.org/0000-0001-8349-6168","contributorId":152301,"corporation":false,"usgs":true,"family":"Reed","given":"Robert","email":"reedr@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":788865,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yackel Adams, Amy A. 0000-0002-7044-8447 yackela@usgs.gov","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":3116,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy","email":"yackela@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":788866,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nafus, Melia G. 0000-0002-7325-3055 mnafus@usgs.gov","orcid":"https://orcid.org/0000-0002-7325-3055","contributorId":197462,"corporation":false,"usgs":true,"family":"Nafus","given":"Melia","email":"mnafus@usgs.gov","middleInitial":"G.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":788867,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70238399,"text":"70238399 - 2020 - A lacustrine paleoenvironment recorded at Vera Rubin ridge, Gale crater: Overview of the sedimentology and stratigraphy observed by the Mars Science Laboratory Curiosity rover","interactions":[],"lastModifiedDate":"2022-11-21T13:06:29.28862","indexId":"70238399","displayToPublicDate":"2020-03-10T07:04:46","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5718,"text":"Journal of Geophysical Research: Planets","onlineIssn":"2169-9100","active":true,"publicationSubtype":{"id":10}},"title":"A lacustrine paleoenvironment recorded at Vera Rubin ridge, Gale crater: Overview of the sedimentology and stratigraphy observed by the Mars Science Laboratory Curiosity rover","docAbstract":"<div class=\"article-section__content en main\"><p>For ~500 Martian solar days (sols), the Mars Science Laboratory team explored Vera Rubin ridge (VRR), a topographic feature on the northwest slope of Aeolis Mons. Here we review the sedimentary facies and stratigraphy observed during sols 1,800–2,300, covering more than 100 m of stratigraphic thickness. Curiosity's traverse includes two transects across the ridge, which enables investigation of lateral variability over a distance of ~300 m. Three informally named stratigraphic members of the Murray formation are described: Blunts Point, Pettegrove Point, and Jura, with the latter two exposed on VRR. The Blunts Point member, exposed just below the ridge, is characterized by a recessive, fine-grained facies that exhibits extensive planar lamination and is crosscut by abundant curvi-planar veins. The Pettegrove Point member is more resistant, fine-grained, thinly planar laminated, and contains a higher abundance of diagenetic concretions. Conformable above the Pettegrove Point member is the Jura member, which is also fine-grained and parallel stratified, but is marked by a distinct step in topography, which coincides with localized meter-scale inclined strata, a thinly and thickly laminated facies, and occasional crystal molds. All members record low-energy lacustrine deposition, consistent with prior observations of the Murray formation. Uncommon outcrops of low-angle stratification suggest possible subaqueous currents, and steeply inclined beds may be the result of slumping. Collectively, the rocks exposed at VRR provide additional evidence for a long-lived lacustrine environment (in excess of 10<sup>6</sup><span>&nbsp;</span>years via comparison to terrestrial records of sedimentation), which extends our understanding of the duration of habitable conditions in Gale crater.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019JE006307","usgsCitation":"Edgar, L.A., Fedo, C.M., Gupta, S., Banham, S.G., Fraeman, A.A., Grotzinger, J.P., Stack, K.M., Stein, N.T., Bennett, K.A., Rivera-Hernandez, F., Sun, V.Z., Edgett, K.S., Rubin, D.M., House, C.H., and Van Beek, J., 2020, A lacustrine paleoenvironment recorded at Vera Rubin ridge, Gale crater: Overview of the sedimentology and stratigraphy observed by the Mars Science Laboratory Curiosity rover: Journal of Geophysical Research: Planets, v. 125, no. 3, e2019JE006307, 22 p., https://doi.org/10.1029/2019JE006307.","productDescription":"e2019JE006307, 22 p.","ipdsId":"IP-114157","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":457445,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.caltech.edu/CaltechAUTHORS:20200408-130611400","text":"External Repository"},{"id":409498,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"125","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-03-18","publicationStatus":"PW","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":857387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fedo, Christopher M.","contributorId":229497,"corporation":false,"usgs":false,"family":"Fedo","given":"Christopher","email":"","middleInitial":"M.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":857388,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":857389,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Banham, Steve G.","contributorId":203783,"corporation":false,"usgs":false,"family":"Banham","given":"Steve","email":"","middleInitial":"G.","affiliations":[{"id":24608,"text":"Imperial College London","active":true,"usgs":false}],"preferred":false,"id":857390,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fraeman, Abigail A.","contributorId":200404,"corporation":false,"usgs":false,"family":"Fraeman","given":"Abigail","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":857391,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grotzinger, John P.","contributorId":181502,"corporation":false,"usgs":false,"family":"Grotzinger","given":"John","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":857392,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stack, Kathryn M. 0000-0003-3444-6695","orcid":"https://orcid.org/0000-0003-3444-6695","contributorId":146791,"corporation":false,"usgs":false,"family":"Stack","given":"Kathryn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":857393,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stein, Nathan T.","contributorId":203792,"corporation":false,"usgs":false,"family":"Stein","given":"Nathan","email":"","middleInitial":"T.","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":857394,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bennett, Kristen A. 0000-0001-8105-7129","orcid":"https://orcid.org/0000-0001-8105-7129","contributorId":237068,"corporation":false,"usgs":true,"family":"Bennett","given":"Kristen","email":"","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":857395,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rivera-Hernandez, Frances","contributorId":270378,"corporation":false,"usgs":false,"family":"Rivera-Hernandez","given":"Frances","affiliations":[{"id":39657,"text":"Dartmouth College","active":true,"usgs":false}],"preferred":false,"id":857396,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sun, Vivian Z. 0000-0003-1480-7369","orcid":"https://orcid.org/0000-0003-1480-7369","contributorId":237064,"corporation":false,"usgs":false,"family":"Sun","given":"Vivian","email":"","middleInitial":"Z.","affiliations":[{"id":36392,"text":"Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":857397,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Edgett, Kenneth S.","contributorId":203786,"corporation":false,"usgs":false,"family":"Edgett","given":"Kenneth","email":"","middleInitial":"S.","affiliations":[{"id":36716,"text":"Malin Space Science Systems","active":true,"usgs":false}],"preferred":false,"id":857398,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Rubin, David M.","contributorId":206587,"corporation":false,"usgs":false,"family":"Rubin","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":32898,"text":"U.C. Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":857399,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"House, Christopher H","contributorId":229504,"corporation":false,"usgs":false,"family":"House","given":"Christopher","email":"","middleInitial":"H","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":857400,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Van Beek, Jason K.","contributorId":167696,"corporation":false,"usgs":false,"family":"Van Beek","given":"Jason K.","affiliations":[{"id":24734,"text":"Malin Space Science Systems, San Diego","active":true,"usgs":false}],"preferred":false,"id":857401,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70209132,"text":"70209132 - 2020 - Spatial conservation planning under uncertainty using modern portfolio theory and nash bargaining solution","interactions":[],"lastModifiedDate":"2020-03-19T07:07:03","indexId":"70209132","displayToPublicDate":"2020-03-10T07:04:18","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Spatial conservation planning under uncertainty using modern portfolio theory and nash bargaining solution","docAbstract":"In recent years, researchers from interdisciplinary teams involving ecologists, economists and operations re- searchers collaborated to provide decision support tools to address the challenges of preserving biodiversity  by optimizing the design of reserves. The goal of this paper is to further advance this area of research and provide new solutions to solve complex Spatial Conservation Planning (SCP) problems under uncertainty that consider risk preferences of decision makers. Our approach employs modern portfolio theory to address uncertainties in SCP problems, and involves two conflicting objectives: maximizing return and minimizing  risk. We apply concepts from game theory such as  the  Nash  bargaining  solution  to  directly  compute  a desirable Pareto-optimal solution for the proposed bi-objective optimization formulation in natural resource management problems. We demonstrate with numerical examples that by directly computing a Nash bar- gaining  solution,  a  Binary  Quadratically  Constrained  Quadratic  Program  (BQCQP)  can  be  solved.  We show that our approach (implementable with commercial solvers such as CPLEX) can effectively solve the proposed BQCQP for much larger problems than previous approaches published in the ecological literature. Optimal solutions for problems with less than 400 parcels can be computed within a minute. Near optimal solutions (within at most 0.2% gap from an optimal solution) for high-dimensional problems involving up to 800 parcels can be computed within 8 hours on a standard computer.  We  have presented a new approach to solve SCP optimization problems while considering uncertainty and risk tolerance of decision makers. Our new approach expands considerably the applicability of such SCP optimization methods to address real conservation problems.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2020.109016","usgsCitation":"Sierra-Altamiranda, A., Charkhgard, H., Eaton, M., Martin, J., Yurek, S., and Udell, B.J., 2020, Spatial conservation planning under uncertainty using modern portfolio theory and nash bargaining solution: Ecological Modelling, v. 423, 109016, 17 p., https://doi.org/10.1016/j.ecolmodel.2020.109016.","productDescription":"109016, 17 p.","ipdsId":"IP-112883","costCenters":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"links":[{"id":457446,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2020.109016","text":"Publisher Index Page"},{"id":373358,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"423","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sierra-Altamiranda, Alvaro 0000-0002-8348-2820","orcid":"https://orcid.org/0000-0002-8348-2820","contributorId":223439,"corporation":false,"usgs":false,"family":"Sierra-Altamiranda","given":"Alvaro","email":"","affiliations":[{"id":40714,"text":"Department of Industrial and Management Systems Engineering, University of South Florida","active":true,"usgs":false}],"preferred":false,"id":785051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Charkhgard, Hadi","contributorId":216710,"corporation":false,"usgs":false,"family":"Charkhgard","given":"Hadi","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":785052,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eaton, Mitchell J. 0000-0001-7324-6333","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":216712,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":785050,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Julien 0000-0002-7375-129X","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":216718,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":785053,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yurek, Simeon 0000-0002-6209-7915","orcid":"https://orcid.org/0000-0002-6209-7915","contributorId":216713,"corporation":false,"usgs":true,"family":"Yurek","given":"Simeon","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":785054,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Udell, Bradley J. 0000-0001-5225-4959","orcid":"https://orcid.org/0000-0001-5225-4959","contributorId":223440,"corporation":false,"usgs":false,"family":"Udell","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":40715,"text":"Wildlife Ecology and Conservation Department, University of Florida, Gainesville, FL","active":true,"usgs":false}],"preferred":false,"id":785055,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70209822,"text":"70209822 - 2020 - Dust deposited on snow cover in the San Juan Mountains, Colorado, 2011-2016: Compositional variability bearing on snow-melt effects","interactions":[],"lastModifiedDate":"2020-04-30T11:28:31.936528","indexId":"70209822","displayToPublicDate":"2020-03-10T06:21:58","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2308,"text":"Journal of Geological Research","active":true,"publicationSubtype":{"id":10}},"title":"Dust deposited on snow cover in the San Juan Mountains, Colorado, 2011-2016: Compositional variability bearing on snow-melt effects","docAbstract":"Light-absorbing particles in atmospheric dust deposited on snow cover (dust-on-snow, DOS) diminish albedo and accelerate the timing and rate of snow melt. Identification of these particles and their effects are relevant to snow-radiation modeling and thus water-resource management. Laboratory-measured reflectance of DOS samples from the San Juan Mountains (USA) were compared with DOS mass loading, particle sizes, iron mineralogy, carbonaceous matter type and content, and chemical compositions. Samples were collected each spring for water years 2011-2016, when individual dust layers had merged into one (all layers merged) at the snow surface. Average reflectance values of the six samples were 0.2153 (sd, 0.0331) across the visible wavelength region (0.4-0.7 µm) and 0.3570 (sd, 0.0498) over the full-measurement range (0.4-2.50 µm). Reflectance values correlated inversely to concentrations of ferric oxide, organic carbon (1.4-10 wt. %), magnetite (0.05-0.13 wt. %), and silt (PM63-3.9; median grain sizes averaged 21.4 µm) but lacked correspondence to total iron and PM10 contents.  Measurements of reflectance and Mössbauer spectra and magnetic properties indicated that microcrystalline hematite and nano-size goethite were primarily responsible for diminished visible reflectance. Positive correlations between organic carbon and metals attributed to fossil-fuel combustion, with observations from electron microscopy, indicated that some carbonaceous matter occurred as black carbon. Magnetite was a surrogate for related light-absorbing minerals, dark rock particles, and contaminants.  Similar analyses of DOS from other areas would help evaluate the influences of varied dust sources, wind-storm patterns, and anthropogenic inputs on snow melt and water resources in and beyond the Colorado River basin.","language":"English","publisher":"Wiley","doi":"10.1029/2019JD032210","collaboration":"","usgsCitation":"Reynolds, R.L., Goldstein, H.L., Moskowitz, B.M., Kokaly, R.F., Munson, S.M., Solheid, P., Breit, G.N., Lawrence, C.R., and Derry, J., 2020, Dust deposited on snow cover in the San Juan Mountains, Colorado, 2011-2016: Compositional variability bearing on snow-melt effects: Journal of Geological Research, v. 125, no. 7, e2019JD032210, 24 p., https://doi.org/10.1029/2019JD032210.","productDescription":"e2019JD032210, 24 p.","ipdsId":"IP-114213","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":457449,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019jd032210","text":"Publisher Index Page"},{"id":437065,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RGQ9KX","text":"USGS data release","linkHelpText":"Data for Dust deposited on snow cover in the San Juan Mountains, Colorado, 2011-2016: Compositional variability bearing on snow-melt effects"},{"id":374391,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"San Juan Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -108.5888671875,\n              37.020098201368114\n            ],\n            [\n              -105.908203125,\n              37.020098201368114\n            ],\n    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hgoldstein@usgs.gov","orcid":"https://orcid.org/0000-0002-6092-8818","contributorId":807,"corporation":false,"usgs":true,"family":"Goldstein","given":"Harland","email":"hgoldstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":788164,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moskowitz, Bruce M.","contributorId":191599,"corporation":false,"usgs":false,"family":"Moskowitz","given":"Bruce","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":788165,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kokaly, Raymond F. 0000-0003-0276-7101","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":205165,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond","email":"","middleInitial":"F.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":788166,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":788167,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Solheid, Peat","contributorId":224401,"corporation":false,"usgs":false,"family":"Solheid","given":"Peat","email":"","affiliations":[{"id":40874,"text":"Institute for Rock Magnetism, Department of Earth and Environmental Sciences, University of Minnesota, Minneapolis","active":true,"usgs":false}],"preferred":false,"id":788168,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Breit, George N. 0000-0003-2188-6798 gbreit@usgs.gov","orcid":"https://orcid.org/0000-0003-2188-6798","contributorId":1480,"corporation":false,"usgs":true,"family":"Breit","given":"George","email":"gbreit@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":788169,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lawrence, Corey R. 0000-0001-6143-7781","orcid":"https://orcid.org/0000-0001-6143-7781","contributorId":202390,"corporation":false,"usgs":true,"family":"Lawrence","given":"Corey","email":"","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":788170,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Derry, Jeff","contributorId":224402,"corporation":false,"usgs":false,"family":"Derry","given":"Jeff","email":"","affiliations":[{"id":40875,"text":"Center for Snow and Avalanche Studies","active":true,"usgs":false}],"preferred":false,"id":788171,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70209155,"text":"70209155 - 2020 - Potential impacts of future urbanization and sea level rise on Florida’s natural resources","interactions":[],"lastModifiedDate":"2020-06-19T16:30:41.923138","indexId":"70209155","displayToPublicDate":"2020-03-09T19:03:40","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Potential impacts of future urbanization and sea level rise on Florida’s natural resources","docAbstract":"As urban development continues to encroach into natural systems, these ecosystems experience increasing degradation to their form and function. Losses in biodiversity and ecosystem function are further compounded by changing climatic conditions. The State of Florida is known for its biodiversity but has experienced declines in species populations and habitats because of urbanization and sea level rise. These declines are particularly challenging in an economy that benefits from a multibillion-dollar income from natural resources tourism. In this study, we assessed the potential future impacts of urbanization and sea level rise on a suite of conservation targets that have been set for the State. We developed six scenarios of all combinations of intermediate and high sea level rise paired with two types of urbanization (sprawling and compact) in both 2040 and 2070 to examine the potential future threats to conservation targets in High Pine and Scrub, Coastal Uplands, and Freshwater Aquatics ecosystems. Our results show projected decreases in extent and area of these priority ecosystems into the future. Florida's current trend in urbanization practices are projected to have a greater impact on conservation targets than if sprawl reduction practices are implemented. Coastal Uplands are projected to experience the greatest loss in area, at up to 47%. Conservation-focused urban planning and climate adaptation strategies can help protect Florida's natural resources with benefits to Florida's tourism economy as well as critical ecosystem functions and services such as coastal flood protection and storm surge risk reduction.","language":"English","publisher":"Fish and Wildlife Service","doi":"10.3996/092019-JFWM-076","usgsCitation":"Romanach, S., Benscoter, A., and Haider, S., 2020, Potential impacts of future urbanization and sea level rise on Florida’s natural resources: Journal of Fish and Wildlife Management, v. 11, no. 1, p. 174-184, https://doi.org/10.3996/092019-JFWM-076.","productDescription":"11 p.","startPage":"174","endPage":"184","ipdsId":"IP-109029","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":457451,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/092019-jfwm-076","text":"Publisher Index 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Center","active":true,"usgs":true}],"preferred":true,"id":785155,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haider, Saira M. 0000-0001-9306-3454","orcid":"https://orcid.org/0000-0001-9306-3454","contributorId":206253,"corporation":false,"usgs":true,"family":"Haider","given":"Saira","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":785156,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70208979,"text":"70208979 - 2020 - Coupling of Indo-Pacific climate variability over the last millennium","interactions":[],"lastModifiedDate":"2020-04-06T23:21:11.759548","indexId":"70208979","displayToPublicDate":"2020-03-09T18:28:05","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"Coupling of Indo-Pacific climate variability over the last millennium","docAbstract":"The Indian Ocean Dipole (IOD) impacts climate and rainfall across the world, and most\nseverely in nations surrounding the Indian Ocean1-4. The frequency and intensity of positive\nIOD events increased during the 20th Century5 and may continue to intensify in a warming\nworld6; however, confidence in future IOD changes is limited by known biases in model\nrepresentations of the IOD7 and the lack of information on natural IOD variability prior to\nanthropogenic climate change. Here we use precisely dated and highly resolved coral records\nfrom the eastern equatorial Indian Ocean, where the signature of IOD variability is optimised,\nto produce a semi-continuous reconstruction of IOD variability that covers five centuries of\nthe last millennium. Our reconstruction demonstrates that extreme positive IOD events were\nrare prior to 1960. However, the strongest event on record (1997) is not unprecedented as at\nleast one event that was approximately 27% to 42% larger occurred naturally during the 17th\nCentury. We further show that a persistent, tight coupling existed between variability of the\nIOD and the El Niño-Southern Oscillation during the last millennium. Indo-Pacific coupling was\ncharacterised by weak interannual variability prior to ~1590 CE which likely altered\nteleconnection patterns, and anomalously strong variability during the 17th Century that was\nassociated with societal upheaval in tropical Asia. A tendency for clustering of positive IOD\nevents is evident in our reconstruction, which together with the identification of extreme IOD\nvariability and persistent tropical Indo-Pacific climate coupling may have implications for\nimproving seasonal and decadal prediction schemes and managing the climate risks of future\nIOD variability.","language":"English","publisher":"Nature ","doi":"10.1038/s41586-020-2084-4","usgsCitation":"Abram, N.J., Wright, N.M., Ellis, B., Dixon, B.C., Wurtzel, J.B., England, M.H., Ummenhofer, C.C., Philibosian, B.E., Cahyarini, S.Y., Yu, T., Shen, C., Cheng, H., Edwards, R.L., and Heslop, D., 2020, Coupling of Indo-Pacific climate variability over the last millennium: Nature, v. 579, p. 385-392, https://doi.org/10.1038/s41586-020-2084-4.","productDescription":"8 p.","startPage":"385","endPage":"392","ipdsId":"IP-107432","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":467295,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://openresearch-repository.anu.edu.au/bitstream/1885/218995/3/01_Abram_Coupling_of_Indo-Pacific_2020.pdf.jpg","text":"External Repository"},{"id":373037,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              71.015625,\n              -31.653381399663985\n            ],\n            [\n              155.390625,\n              -31.653381399663985\n            ],\n            [\n              155.390625,\n              24.84656534821976\n            ],\n            [\n              71.015625,\n              24.84656534821976\n            ],\n            [\n              71.015625,\n              -31.653381399663985\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"579","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2020-03-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Abram, Nerilie J.","contributorId":195006,"corporation":false,"usgs":false,"family":"Abram","given":"Nerilie","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":784263,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, Nicky M. 0000-0002-5600-3193","orcid":"https://orcid.org/0000-0002-5600-3193","contributorId":223135,"corporation":false,"usgs":false,"family":"Wright","given":"Nicky","email":"","middleInitial":"M.","affiliations":[{"id":16807,"text":"Australian National University","active":true,"usgs":false}],"preferred":false,"id":784264,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellis, Bethany 0000-0002-4662-1115","orcid":"https://orcid.org/0000-0002-4662-1115","contributorId":223136,"corporation":false,"usgs":false,"family":"Ellis","given":"Bethany","email":"","affiliations":[{"id":16807,"text":"Australian National University","active":true,"usgs":false}],"preferred":false,"id":784265,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dixon, Bronwyn C.","contributorId":195017,"corporation":false,"usgs":false,"family":"Dixon","given":"Bronwyn","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":784266,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wurtzel, Jennifer B. 0000-0002-5285-4492","orcid":"https://orcid.org/0000-0002-5285-4492","contributorId":223137,"corporation":false,"usgs":false,"family":"Wurtzel","given":"Jennifer","email":"","middleInitial":"B.","affiliations":[{"id":16807,"text":"Australian National University","active":true,"usgs":false}],"preferred":false,"id":784267,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"England, Matthew H. 0000-0001-9696-2930","orcid":"https://orcid.org/0000-0001-9696-2930","contributorId":223138,"corporation":false,"usgs":false,"family":"England","given":"Matthew","email":"","middleInitial":"H.","affiliations":[{"id":27304,"text":"University of New South Wales","active":true,"usgs":false}],"preferred":false,"id":784268,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ummenhofer, Caroline C. 0000-0002-9163-3967","orcid":"https://orcid.org/0000-0002-9163-3967","contributorId":223139,"corporation":false,"usgs":false,"family":"Ummenhofer","given":"Caroline","email":"","middleInitial":"C.","affiliations":[{"id":40678,"text":"University of New South Wales; Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":784269,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Philibosian, Belle E. 0000-0003-3138-4716","orcid":"https://orcid.org/0000-0003-3138-4716","contributorId":206110,"corporation":false,"usgs":true,"family":"Philibosian","given":"Belle","email":"","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":784262,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cahyarini, Sri Yudawati 0000-0001-8378-0716","orcid":"https://orcid.org/0000-0001-8378-0716","contributorId":223140,"corporation":false,"usgs":false,"family":"Cahyarini","given":"Sri","email":"","middleInitial":"Yudawati","affiliations":[{"id":40679,"text":"Research Center for Geotechnology, Indonesian Institute of Sciences (LIPI)","active":true,"usgs":false}],"preferred":false,"id":784270,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Yu, Tsai-Luen","contributorId":223141,"corporation":false,"usgs":false,"family":"Yu","given":"Tsai-Luen","email":"","affiliations":[{"id":30216,"text":"National Taiwan University","active":true,"usgs":false}],"preferred":false,"id":784271,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Shen, Chuan-Chou","contributorId":193424,"corporation":false,"usgs":false,"family":"Shen","given":"Chuan-Chou","email":"","affiliations":[{"id":27347,"text":"High-precision Mass Spectrometry and Environment Change Laboratory (HISPEC), Department of Geosciences, National Taiwan University","active":true,"usgs":false}],"preferred":false,"id":784272,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Cheng, Hai 0000-0002-5305-9458","orcid":"https://orcid.org/0000-0002-5305-9458","contributorId":223142,"corporation":false,"usgs":false,"family":"Cheng","given":"Hai","email":"","affiliations":[{"id":40680,"text":"Xi'an Jiaotong University","active":true,"usgs":false}],"preferred":false,"id":784273,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Edwards, R. Lawrence 0000-0002-7027-5881","orcid":"https://orcid.org/0000-0002-7027-5881","contributorId":223143,"corporation":false,"usgs":false,"family":"Edwards","given":"R.","email":"","middleInitial":"Lawrence","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":784274,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Heslop, David 0000-0001-8245-0555","orcid":"https://orcid.org/0000-0001-8245-0555","contributorId":223144,"corporation":false,"usgs":false,"family":"Heslop","given":"David","email":"","affiliations":[{"id":16807,"text":"Australian National University","active":true,"usgs":false}],"preferred":false,"id":784275,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70209115,"text":"70209115 - 2020 - Post-release monitoring of a stranded and rehabilitated short-finned pilot whale (Globicephala macrorhynchus) reveals current-assisted travel","interactions":[],"lastModifiedDate":"2020-03-17T15:59:21","indexId":"70209115","displayToPublicDate":"2020-03-09T15:56:22","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":869,"text":"Aquatic Mammals","active":true,"publicationSubtype":{"id":10}},"title":"Post-release monitoring of a stranded and rehabilitated short-finned pilot whale (Globicephala macrorhynchus) reveals current-assisted travel","docAbstract":"A subadult female short-finned pilot whale (Globicephala macrorhynchus), stranded on the northeastern Gulf of Mexico coast of Florida in June 2017, was rehabilitated for 38 days and then monitored with a satellite-linked, time-depth recording tag for 32 days after being released off the West Florida Shelf.  The individual, “Gale,” appeared to regularly use ocean currents to facilitate a southeastward movement around Florida, and then a northward movement along the continental shelf break to the waters off Cape Hatteras, North Carolina.  Indeed, 57% of her travel along the coast of Florida was at speeds consistent with the surface speed and direction of the Gulf Stream.  Overall, current-assisted travel contributed to a 19% increase in distance traveled (4,152 km), and to an average rate of travel (130 km·day-1) that was higher than previously reported for Globicephala spp.  Gale’s dive behavior was typical of other short-finned pilot whale observations, with average dive depths (243 ± 136 m, max = 712 m) and durations (7.9 ± 2.2 min, max = 16.0 min) within the range of reported values for Globicephala spp.  Gale also occupied habitats known to be used by pilot whales, and her movements and behaviors were consistent with those observed in other short-finned pilot whales in the Gulf of Mexico and northwestern Atlantic Ocean.  The information presented here contributes to a better understanding of short-finned pilot whales, and to the assessment of rehabilitation and release protocols.","language":"English","publisher":"Aquatic Mammals ","doi":"10.1578/AM.46.2.2020.200","usgsCitation":"Tyson Moore, R.B., Douglas, D., Nollens, H.H., and Wells, R.S., 2020, Post-release monitoring of a stranded and rehabilitated short-finned pilot whale (Globicephala macrorhynchus) reveals current-assisted travel: Aquatic Mammals, v. 46, no. 2, p. 200-214, https://doi.org/10.1578/AM.46.2.2020.200.","productDescription":"14 p.","startPage":"200","endPage":"214","ipdsId":"IP-106503","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":373327,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Georgia, North Carolina, South Carolina","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.978515625,\n              30.372875188118016\n            ],\n            [\n              -86.044921875,\n              26.352497858154024\n            ],\n            [\n              -80.33203125,\n              23.96617587126503\n            ],\n            [\n              -78.486328125,\n              25.562265014427492\n            ],\n            [\n              -75.322265625,\n              28.536274512989916\n            ],\n            [\n              -74.00390625,\n              33.063924198120645\n            ],\n            [\n              -75.234375,\n              36.24427318493909\n            ],\n            [\n              -76.9921875,\n              35.17380831799959\n            ],\n            [\n              -82.001953125,\n              32.24997445586331\n            ],\n            [\n              -87.978515625,\n              30.372875188118016\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"46","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2020-03-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Tyson Moore, Reny B","contributorId":223405,"corporation":false,"usgs":false,"family":"Tyson Moore","given":"Reny","email":"","middleInitial":"B","affiliations":[{"id":37712,"text":"Chicago Zoological Society’s Sarasota Dolphin Research Program","active":true,"usgs":false}],"preferred":false,"id":784970,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":150115,"corporation":false,"usgs":true,"family":"Douglas","given":"David C.","email":"ddouglas@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":784969,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nollens, Hendrik H.","contributorId":223406,"corporation":false,"usgs":false,"family":"Nollens","given":"Hendrik","email":"","middleInitial":"H.","affiliations":[{"id":40712,"text":"SeaWorld of California","active":true,"usgs":false}],"preferred":false,"id":784971,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wells, Randall S.","contributorId":208091,"corporation":false,"usgs":false,"family":"Wells","given":"Randall","email":"","middleInitial":"S.","affiliations":[{"id":37712,"text":"Chicago Zoological Society’s Sarasota Dolphin Research Program","active":true,"usgs":false}],"preferred":false,"id":784972,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70211211,"text":"70211211 - 2020 - Life-history plasticity and water-use trade-offs associated with drought resistance in a clade of California jewelflowers","interactions":[],"lastModifiedDate":"2020-07-20T12:53:35.734273","indexId":"70211211","displayToPublicDate":"2020-03-09T13:50:15","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5500,"text":"The American Naturalist","onlineIssn":"1537-5323","printIssn":" 0003-014","active":true,"publicationSubtype":{"id":10}},"title":"Life-history plasticity and water-use trade-offs associated with drought resistance in a clade of California jewelflowers","docAbstract":"<p><span>Water limitation is a primary driver of plant geographic distributions and individual plant fitness. Drought resistance is the ability to survive and reproduce despite limited water, and numerous studies have explored its physiological basis in plants. However, it is unclear how drought resistance and trade-offs associated with drought resistance evolve within plant clades. We quantified the relationship between water availability and fitness for 13 short-lived plant taxa in the&nbsp;</span><i>Streptanthus</i><span>&nbsp;clade that vary in their phenology and the availability of water in the environments where they occur. We derived two parameters from these relationships: plant fitness when water is not limiting and the water inflection point (WIF), the watering level at which additional water is most efficiently turned into fitness. We used phylogenetic comparative methods to explore trade-offs related to drought resistance and trait plasticity and the degree to which water relationship parameters are conserved. Taxa from drier climates produced fruits at the lowest water levels, had a lower WIF, flowered earlier, had shorter life spans, had greater plastic water-use efficiency (WUE), and had lower fitness at nonlimiting water. In contrast, later-flowering&nbsp;</span><i>Streptanthus</i><span>&nbsp;taxa from less xeric climates experienced high fitness at nonlimiting water but had no fitness at the lowest water levels. Across the clade, we found a trade-off between drought resistance and fitness at high water, though a single ruderal species was an outlier in this relationship. Our results suggest that drought escape trades off with maximal fitness under nonlimiting water, and both are tied to phenology. We also found that variation in trait plasticity determines how different plant species produce fitness over a water gradient.</span></p>","language":"English","publisher":"University of Chicago Press","doi":"10.1086/707371","usgsCitation":"Pearse, I.S., Aguilar, J., and Strauss, S., 2020, Life-history plasticity and water-use trade-offs associated with drought resistance in a clade of California jewelflowers: The American Naturalist, v. 195, p. 691-704, https://doi.org/10.1086/707371.","productDescription":"14 p.","startPage":"691","endPage":"704","ipdsId":"IP-106442","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":376486,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70206443,"text":"sir20195126 - 2020 - Quantification of trace element loading in the upper Tenmile Creek drainage basin near Rimini, Montana, September 2011","interactions":[],"lastModifiedDate":"2022-04-25T19:23:41.910347","indexId":"sir20195126","displayToPublicDate":"2020-03-09T11:14:43","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5126","displayTitle":"Quantification of Trace-Element Loading in the Upper Tenmile Creek Drainage Basin near Rimini, Montana, September 2011","title":"Quantification of trace element loading in the upper Tenmile Creek drainage basin near Rimini, Montana, September 2011","docAbstract":"<p>The principle sources of trace elements entering upper Tenmile Creek, Montana, during September 2011, four trace metals and the metalloid arsenic, were identified and quantified by combining and analyzing streamflow data determined from tracer injection with trace-element concentrations and related water-quality data determined from synoptic sampling. The study reach was along upper Tenmile Creek, beginning downstream from the city of Helena’s diversion and extending 5,020 feet downstream. Results from the 2011 study, completed by the U.S. Geological Survey in cooperation with the Montana Department of Environmental Quality, were compared to results from a similar study conducted in 1998 to assess the effectiveness of mine reclamation and remediation work to reduce trace-element loading to upper Tenmile Creek, which has been ongoing throughout the drainage basin.</p><p>Main-stem concentrations of most trace elements analyzed were generally greater in 1998 than in 2011. However, the State of Montana human-health criteria for total-recoverable cadmium and arsenic were exceeded in parts of upper Tenmile Creek, and concentrations of cadmium and zinc exceeded the acute aquatic-life criteria at all main-stem sites during both studies. Total-recoverable copper concentrations observed in 2011 exceeded the chronic aquatic-life criterion upstream from the Lee Mountain adit, whereas, in 1998, all sites exceeded the acute aquatic-life criteria.</p><p>Direct comparison of loads from the 1998 and 2011 tracer studies were complicated by the differences in hydrologic conditions. Streamflow in 1998 was about 10 percent of the 2011 streamflow. The Lee Mountain Mine and Susie Lode adit were identified as major contributors of trace elements to upper Tenmile Creek in both studies. However, trace-element loading from the Lee Mountain Mine area was substantially reduced between 1998 and 2011. Total-recoverable loads of all trace elements showed substantial loss in 1998 but increased in 2011 downstream from the Susie Lode adit to the end of the study reach. This reach was one of the primary sources of trace-element loading to upper Tenmile Creek in 2011. This difference indicated that the streambed may act as a sink or a source for trace elements, depending on hydrologic conditions.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195126","collaboration":"Prepared in cooperation with the Montana Department of Environmental Quality","usgsCitation":"Cleasby, T., and Eldridge, S.L.C., 2020, Quantification of trace element loading in the upper Tenmile Creek drainage basin near Rimini, Montana, September 2011: U.S. Geological Survey Scientific Investigations Report 2019–5126, 40 p., https://doi.org/10.3133/sir20195126.","productDescription":"Report: vii, 40 p.; Dataset","numberOfPages":"52","onlineOnly":"Y","ipdsId":"IP-043897","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":399607,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109755.htm"},{"id":372808,"rank":3,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"National Water Information System database","linkHelpText":"– USGS water data for the Nation"},{"id":372807,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5126/sir20195126.pdf","text":"Report","size":"6.00 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5126"},{"id":372806,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5126/coverthb.jpg"}],"country":"United States","state":"Montana","county":"Lewis and Clark County","city":"Rimini","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.2533,\n              46.4808\n            ],\n            [\n              -112.2444,\n              46.4808\n            ],\n            [\n              -112.2444,\n              46.5008\n            ],\n            [\n              -112.2533,\n              46.5008\n            ],\n            [\n              -112.2533,\n              46.4808\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/wy-mt-water\" href=\"https://www.usgs.gov/centers/wy-mt-water\">Wyoming-Montana Water Science Center</a><br>U.S. Geological Survey<br>3162 Bozeman Avenue<br>Helena, MT 59601<br></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Quality Assurance/Quality Control</li><li>Quantification of Trace-Element Loading</li><li>Summary and Conclusions</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2020-03-09","noUsgsAuthors":false,"publicationDate":"2020-03-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Cleasby, Tom 0000-0003-0694-1541 tcleasby@usgs.gov","orcid":"https://orcid.org/0000-0003-0694-1541","contributorId":1137,"corporation":false,"usgs":true,"family":"Cleasby","given":"Tom","email":"tcleasby@usgs.gov","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":false,"id":774563,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell Eldridge, Sara L. 0000-0001-8838-8940 seldridge@usgs.gov","orcid":"https://orcid.org/0000-0001-8838-8940","contributorId":4981,"corporation":false,"usgs":true,"family":"Caldwell Eldridge","given":"Sara","email":"seldridge@usgs.gov","middleInitial":"L.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":774564,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70212483,"text":"70212483 - 2020 - A modeling workflow that balances automation and human intervention to inform invasive plant management decisions at multiple spatial scales","interactions":[],"lastModifiedDate":"2020-08-17T14:59:53.151452","indexId":"70212483","displayToPublicDate":"2020-03-09T09:55:09","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"A modeling workflow that balances automation and human intervention to inform invasive plant management decisions at multiple spatial scales","docAbstract":"<div class=\"abstract toc-section\"><p>Predictions of habitat suitability for invasive plant species can guide risk assessments at regional and national scales and inform early detection and rapid-response strategies at local scales. We present a general approach to invasive species modeling and mapping that meets objectives at multiple scales. Our methodology is designed to balance trade-offs between developing highly customized models for few species versus fitting non-specific and generic models for numerous species. We developed a national library of environmental variables known to physiologically limit plant distributions and relied on human input based on natural history knowledge to further narrow the variable set for each species before developing habitat suitability models. To ensure efficiency, we used largely automated modeling approaches and human input only at key junctures. We explore and present uncertainty by using two alternative sources of background samples, including five statistical algorithms, and constructing model ensembles. We demonstrate the use and efficiency of the Software for Assisted Habitat Modeling [SAHM 2.1.2], a package in VisTrails, which performs the majority of the modeling analyses. Our workflow includes solicitation of expert feedback on model outputs such as spatial prediction results and variable response curves, and iterative improvement based on new data availability and directed field validation of initial model results. We highlight the utility of the models for decision-making at regional and local scales with case studies of two plant species that invade natural areas: fountain grass (<i>Pennisetum setaceum</i>) and goutweed (<i>Aegopodium podagraria</i>). By balancing model automation with human intervention, we can efficiently provide land managers with mapped predicted distributions for multiple invasive species to inform decisions across spatial scales.</p></div>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0229253","usgsCitation":"Young, N.E., Jarnevich, C.S., Sofaer, H., Pearse, I.S., Sullivan, J., Engelstad, P., and Stohlgren, T.J., 2020, A modeling workflow that balances automation and human intervention to inform invasive plant management decisions at multiple spatial scales: PLoS ONE, v. 15, no. 3, e0229253, 21 p., https://doi.org/10.1371/journal.pone.0229253.","productDescription":"e0229253, 21 p.","ipdsId":"IP-115209","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":457457,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0229253","text":"Publisher Index Page"},{"id":437068,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9V54H5K","text":"USGS data release","linkHelpText":"INHABIT species potential distribution across the contiguous United States (ver. 3.0, February 2023)"},{"id":437067,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92476V6","text":"USGS data release","linkHelpText":"INHABIT species potential distribution across the contiguous United States"},{"id":437066,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PI7VEY","text":"USGS data release","linkHelpText":"Data for modeling fountain grass and bishop's goutweed in the contiguous US"},{"id":377572,"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      \"geometry\": {\n        \"type\": 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    ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","volume":"15","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-03-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Young, Nicholas E.","contributorId":189060,"corporation":false,"usgs":false,"family":"Young","given":"Nicholas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":796485,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":796486,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sofaer, Helen 0000-0002-9450-5223","orcid":"https://orcid.org/0000-0002-9450-5223","contributorId":216681,"corporation":false,"usgs":true,"family":"Sofaer","given":"Helen","email":"","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":796487,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearse, Ian S. 0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":216680,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":796488,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sullivan, Julia","contributorId":238757,"corporation":false,"usgs":false,"family":"Sullivan","given":"Julia","email":"","affiliations":[{"id":47756,"text":"Student contractor to the U.S. Geological Survey Fort Collins Science Center","active":true,"usgs":false}],"preferred":false,"id":796489,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Engelstad, Peder","contributorId":238758,"corporation":false,"usgs":false,"family":"Engelstad","given":"Peder","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":796490,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stohlgren, Thomas J.","contributorId":213895,"corporation":false,"usgs":false,"family":"Stohlgren","given":"Thomas","email":"","middleInitial":"J.","affiliations":[{"id":38925,"text":"Natural Resource Ecology Laboratory, Colorado State University, Fort Collins","active":true,"usgs":false}],"preferred":false,"id":796491,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70208134,"text":"ofr20201003 - 2020 - Predicting barrier island habitats and oyster and seagrass habitat suitability for various restoration measures and future conditions for Dauphin Island, Alabama","interactions":[],"lastModifiedDate":"2022-04-21T20:32:11.498263","indexId":"ofr20201003","displayToPublicDate":"2020-03-09T09:04:23","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1003","displayTitle":"Predicting Barrier Island Habitats and Oyster and Seagrass Habitat Suitability for Various Restoration Measures and Future Conditions for Dauphin Island, Alabama","title":"Predicting barrier island habitats and oyster and seagrass habitat suitability for various restoration measures and future conditions for Dauphin Island, Alabama","docAbstract":"<p>Barrier islands, such as Dauphin Island, Alabama, provide numerous invaluable ecosystem services including storm damage reduction and erosion control to the mainland, habitat for fish and wildlife, carbon sequestration in marshes, water catchment and purification, recreation, and tourism. These islands are dynamic environments that are gradually shaped by currents, waves, and tides under quiescent conditions yet can evolve in the time scale of hours to days during hurricanes and other extreme storms. The ecosystems associated with these islands also face numerous other hazards, including accelerated sea-level rise, oil spills, and anthropogenic stressors.</p><p>Hurricane Katrina in 2005 and the Deepwater Horizon oil spill in 2010 are two major events that have affected habitats and natural resources on Dauphin Island, Ala. The latter event prompted a cooperative effort between the U.S. Geological Survey and the U.S. Army Corps of Engineers to investigate viable, sustainable restoration measures that reduce degradation and enhance the natural resources of Dauphin Island, Ala. In collaboration with the State of Alabama and the National Fish and Wildlife Foundation, the overarching goal of the Alabama Barrier Island Restoration Feasibility Assessment project was to document baseline conditions and forecast potential conditions under varying sea-level change and storm scenarios for a no-action alternative along with a variety of restoration measures including beach and dune restoration, marsh and back-barrier restoration, and placement of sand in the littoral zone. The modeling component of this project used decadal hydrodynamic geomorphic, water quality, and habitat modeling to better understand how the various restoration measures may influence the habitat composition, sustainability, and resiliency of Dauphin Island under potential future conditions, benchmarked against the no-action case.</p><p>The report covers the habitat modeling efforts associated with the Alabama Barrier Island Restoration Feasibility Assessment project. For various potential future island configurations for Dauphin Island, we predicted coverage of habitat types (for example, beach, dune, intertidal marsh, and woody vegetation) using a spatially explicit habitat model based on landscape-position information (for example, elevation and distance from shore) extracted from the hydrodynamic geomorphic outputs. Similarly, we forecasted habitat suitability for oysters and seagrass using habitat suitability index models. Another component of the Alabama Barrier Island Restoration Feasibility Assessment project, presented separately, integrates these habitat model results into a structured decision-making framework that accounts for competing objectives. Collectively, this information provides insights to natural resource managers and planners on how a restoration measure may maintain or impede natural coastal processes and provide information critical for making future-focused decisions regarding barrier island restoration.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201003","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers and in collaboration with the State of Alabama and the National Fish and Wildlife Foundation","usgsCitation":"Enwright, N.M., Wang, H., Dalyander, P.S., and Godsey, E., eds., 2020, Predicting barrier island habitats and oyster and seagrass habitat suitability for various restoration measures and future conditions for Dauphin Island, Alabama: U.S. Geological Survey Open-File Report 2020–1003, 99 p.,  https://doi.org/10.3133/ofr20201003.","productDescription":"Report: x, 99 p.; 3 Data Releases","numberOfPages":"114","onlineOnly":"Y","ipdsId":"IP-113342","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":372971,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1003/ofr20201003.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020–1003"},{"id":372973,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9O30XMZ","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Oyster habitat suitability modeling for the Alabama Barrier Island restoration assessment at Dauphin Island"},{"id":399449,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109756.htm"},{"id":372974,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9B32VTE","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Seagrass habitat suitability modeling for the Alabama Barrier Island restoration assessment at Dauphin Island"},{"id":372972,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PK0EH0","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Landscape position-based habitat modeling for the Alabama Barrier Island feasibility assessment at Dauphin Island"},{"id":372970,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1003/coverthb.jpg"}],"country":"United States","state":"Alabama","otherGeospatial":"Dauphin Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.341064453125,\n              30.166500980766052\n            ],\n            [\n              -88.0389404296875,\n              30.166500980766052\n            ],\n            [\n              -88.0389404296875,\n              30.311245603935003\n            ],\n            [\n              -88.341064453125,\n              30.311245603935003\n            ],\n            [\n              -88.341064453125,\n              30.166500980766052\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/wetland-and-aquatic-research-center-warc\" data-mce-href=\"https://www.usgs.gov/centers/wetland-and-aquatic-research-center-warc\">Wetland and Aquatic Research Center</a> <br>U.S. Geological Survey <br>700 Cajundome Blvd. <br>Lafayette, LA 70506</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Executive Summary</li><li>Chapter A. Landscape-Position-Based Habitat Modeling for the Alabama Barrier Island Restoration Feasibility Assessment at Dauphin Island</li><li>Chapter B. Oyster Habitat Suitability Modeling for the Alabama Barrier Island Restoration Feasibility Assessment at Dauphin Island</li><li>Chapter C. Seagrass Habitat Suitability Modeling for the Alabama Barrier Island Restoration Feasibility Assessment at Dauphin Island</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2020-03-09","noUsgsAuthors":false,"publicationDate":"2020-03-09","publicationStatus":"PW","contributors":{"editors":[{"text":"Enwright, Nicholas  M. 0000-0002-7887-3261","orcid":"https://orcid.org/0000-0002-7887-3261","contributorId":202150,"corporation":false,"usgs":true,"family":"Enwright","given":"Nicholas  M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":784073,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Wang, Hongqing 0000-0002-2977-7732","orcid":"https://orcid.org/0000-0002-2977-7732","contributorId":215073,"corporation":false,"usgs":false,"family":"Wang","given":"Hongqing","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":784074,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Dalyander, P. Soupy 0000-0001-9583-0872 sdalyander@usgs.gov","orcid":"https://orcid.org/0000-0001-9583-0872","contributorId":141015,"corporation":false,"usgs":true,"family":"Dalyander","given":"P.","email":"sdalyander@usgs.gov","middleInitial":"Soupy","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":784075,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Godsey, Elizabeth 0000-0003-4621-7857","orcid":"https://orcid.org/0000-0003-4621-7857","contributorId":222094,"corporation":false,"usgs":false,"family":"Godsey","given":"Elizabeth","email":"","affiliations":[{"id":34200,"text":"Army Corp of Engineers","active":true,"usgs":false}],"preferred":false,"id":784076,"contributorType":{"id":2,"text":"Editors"},"rank":4}]}}
,{"id":70228339,"text":"70228339 - 2020 - Estimating population abundance with a mixture of physical capture and passive PIT tag antenna detection data","interactions":[],"lastModifiedDate":"2022-02-09T18:32:50.128954","indexId":"70228339","displayToPublicDate":"2020-03-07T12:29:10","publicationYear":"2020","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":"Estimating population abundance with a mixture of physical capture and passive PIT tag antenna detection data","docAbstract":"<p><span>The inclusion of passive interrogation antenna (PIA) detection data has promise to increase precision of population abundance estimates (</span><span id=\"ieq1\"><span class=\"inline-graphic\"><img src=\"https://cdnsciencepub.com/cms/10.1139/cjfas-2019-0326/asset/images/cjfas-2019-0326ieq1.gif\" alt=\"\" data-mce-src=\"https://cdnsciencepub.com/cms/10.1139/cjfas-2019-0326/asset/images/cjfas-2019-0326ieq1.gif\"></span></span><span>). However, encounter probabilities are often higher for PIAs than for physical capture. If the difference is not accounted for,&nbsp;</span><span id=\"ieq2\"><span class=\"inline-graphic\"><img src=\"https://cdnsciencepub.com/cms/10.1139/cjfas-2019-0326/asset/images/cjfas-2019-0326ieq2.gif\" alt=\"\" data-mce-src=\"https://cdnsciencepub.com/cms/10.1139/cjfas-2019-0326/asset/images/cjfas-2019-0326ieq2.gif\"></span></span><span>&nbsp;may be biased. Using simulations, we estimated the magnitude of bias resulting from mixed capture and detection probabilities and evaluated potential solutions for removing the bias for closed capture models. Mixing physical capture and PIA detections (</span><i>p</i><sub>det</sub><span>) resulted in negative biases in&nbsp;</span><span id=\"ieq3\"><span class=\"inline-graphic\"><img src=\"https://cdnsciencepub.com/cms/10.1139/cjfas-2019-0326/asset/images/cjfas-2019-0326ieq3.gif\" alt=\"\" data-mce-src=\"https://cdnsciencepub.com/cms/10.1139/cjfas-2019-0326/asset/images/cjfas-2019-0326ieq3.gif\"></span></span><span>. However, using an individual covariate to model differences removed bias and improved precision. From a case study of fish making spawning migrations across a stream-wide PIA (</span><i>p</i><sub>det</sub><span>&nbsp;≤ 0.9), the coefficient of variation (CV) of&nbsp;</span><span id=\"ieq4\"><span class=\"inline-graphic\"><img src=\"https://cdnsciencepub.com/cms/10.1139/cjfas-2019-0326/asset/images/cjfas-2019-0326ieq4.gif\" alt=\"\" data-mce-src=\"https://cdnsciencepub.com/cms/10.1139/cjfas-2019-0326/asset/images/cjfas-2019-0326ieq4.gif\"></span></span><span>&nbsp;declined 39%–82% when PIA data were included, and there was a dramatic reduction in time to detect a significant change in&nbsp;</span><span id=\"ieq5\"><span class=\"inline-graphic\"><img src=\"https://cdnsciencepub.com/cms/10.1139/cjfas-2019-0326/asset/images/cjfas-2019-0326ieq5.gif\" alt=\"\" data-mce-src=\"https://cdnsciencepub.com/cms/10.1139/cjfas-2019-0326/asset/images/cjfas-2019-0326ieq5.gif\"></span></span><span>. For a second case study, with modest&nbsp;</span><i>p</i><sub>det</sub><span>&nbsp;(≤0.2) using smaller PIAs, CV (</span><span id=\"ieq6\"><span class=\"inline-graphic\"><img src=\"https://cdnsciencepub.com/cms/10.1139/cjfas-2019-0326/asset/images/cjfas-2019-0326ieq6.gif\" alt=\"\" data-mce-src=\"https://cdnsciencepub.com/cms/10.1139/cjfas-2019-0326/asset/images/cjfas-2019-0326ieq6.gif\"></span></span><span>) declined 4%–18%. Our method is applicable for estimating abundance for any situation where data are collected with methods having different capture–detection probabilities.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2019-0326","usgsCitation":"Conner, M.M., Budy, P., Wilkison, R.A., Mills, M., Speas, D., Mackinnon, P.D., and Mark C. Mckinstry, 2020, Estimating population abundance with a mixture of physical capture and passive PIT tag antenna detection data: Canadian Journal of Fisheries and Aquatic Sciences, v. 77, no. 7, p. 1163-1171, https://doi.org/10.1139/cjfas-2019-0326.","productDescription":"9 p.","startPage":"1163","endPage":"1171","ipdsId":"IP-110596","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":489135,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjfas-2019-0326","text":"Publisher Index Page"},{"id":395707,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"77","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Conner, Mary M.","contributorId":275216,"corporation":false,"usgs":false,"family":"Conner","given":"Mary","email":"","middleInitial":"M.","affiliations":[{"id":28050,"text":"USU","active":true,"usgs":false}],"preferred":false,"id":833837,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Budy, Phaedra E. 0000-0002-9918-1678","orcid":"https://orcid.org/0000-0002-9918-1678","contributorId":228930,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":833836,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilkison, Richard A.","contributorId":275217,"corporation":false,"usgs":false,"family":"Wilkison","given":"Richard","email":"","middleInitial":"A.","affiliations":[{"id":56749,"text":"ipc","active":true,"usgs":false}],"preferred":false,"id":833838,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mills, Michael","contributorId":275218,"corporation":false,"usgs":false,"family":"Mills","given":"Michael","email":"","affiliations":[{"id":56750,"text":"uwc","active":true,"usgs":false}],"preferred":false,"id":833839,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Speas, David","contributorId":275219,"corporation":false,"usgs":false,"family":"Speas","given":"David","email":"","affiliations":[{"id":56751,"text":"ubr","active":true,"usgs":false}],"preferred":false,"id":833840,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mackinnon, Peter D.","contributorId":275220,"corporation":false,"usgs":false,"family":"Mackinnon","given":"Peter","email":"","middleInitial":"D.","affiliations":[{"id":28050,"text":"USU","active":true,"usgs":false}],"preferred":false,"id":833841,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mark C. Mckinstry","contributorId":275221,"corporation":false,"usgs":false,"family":"Mark C. Mckinstry","affiliations":[{"id":56751,"text":"ubr","active":true,"usgs":false}],"preferred":false,"id":833842,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70209001,"text":"70209001 - 2020 - Assessing population-level consequences of anthropogenic stressors for terrestrial wildlife","interactions":[],"lastModifiedDate":"2020-03-10T19:28:47","indexId":"70209001","displayToPublicDate":"2020-03-06T19:21:58","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Assessing population-level consequences of anthropogenic stressors for terrestrial wildlife","docAbstract":"Human activity influences wildlife. However, the ecological and conservation significances of these influences are difficult to predict and depend on their population‐level consequences. This difficulty arises partly because of information gaps, and partly because the data on stressors are usually collected in a count‐based manner (e.g., number of dead animals) that is difficult to translate into rate‐based estimates important to infer population‐level consequences (e.g., changes in mortality or population growth rates). However, ongoing methodological developments can provide information to make this transition. Here, we synthesize tools from multiple fields of study to propose an overarching, spatially explicit framework to assess population‐level consequences of anthropogenic stressors on terrestrial wildlife. A key component of this process is using ecological information from affected animals to upscale from count‐based field data on individuals to rate‐based demographic inference. The five steps to this framework are (1) framing the problem to identify species, populations, and assessment parameters; (2) field‐based measurement of the effect of the stressor on individuals; (3) characterizing the location and size of the populations of interest; (4) demographic modeling for those populations; and (5) assessing the significance of stressor‐induced changes in demographic rates. The tools required for each of these steps are well developed, and some have been used in conjunction with each other, but the entire group has not previously been unified together as we do in this framework. We detail these steps and then illustrate their application for two species affected by different anthropogenic stressors. In our examples, we use stable hydrogen isotope data to infer a catchment area describing the geographic origins of affected individuals, as the basis to estimate population size for that area. These examples reveal unexpectedly greater potential risks from stressors for the more common and widely distributed species. This work illustrates key strengths of the framework but also important areas for subsequent theoretical and technical development to make it still more broadly applicable.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.3046","usgsCitation":"Katzner, T., Braham, M.A., Conkling, T., Diffendorfer, J., Duerr, A.E., Loss, S., Nelson, D.M., Vander Zanden, H.B., and Yee, J.L., 2020, Assessing population-level consequences of anthropogenic stressors for terrestrial wildlife: Ecosphere, v. 11, no. 3, e03046, 23 p., https://doi.org/10.1002/ecs2.3046.","productDescription":"e03046, 23 p.","ipdsId":"IP-108403","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":457460,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3046","text":"Publisher Index Page"},{"id":373085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Guatemala, Haiti, Honduras, Jamaica, Mexico, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -71.89453125,\n              17.97873309555617\n            ],\n            [\n              -75.76171875,\n              21.779905342529645\n            ],\n            [\n              -81.5625,\n              30.751277776257812\n            ],\n            [\n              -74.53125,\n              35.17380831799959\n            ],\n            [\n              -71.3671875,\n              39.90973623453719\n            ],\n            [\n              -58.35937499999999,\n              45.460130637921004\n            ],\n       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James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":784472,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duerr, Adam E.","contributorId":190590,"corporation":false,"usgs":false,"family":"Duerr","given":"Adam","email":"","middleInitial":"E.","affiliations":[{"id":16210,"text":"Division of Forestry and Natural Resources, West Virginia University","active":true,"usgs":false}],"preferred":false,"id":784473,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Loss, Scott R.","contributorId":140471,"corporation":false,"usgs":false,"family":"Loss","given":"Scott R.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":784474,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nelson, David M.","contributorId":175098,"corporation":false,"usgs":false,"family":"Nelson","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":13479,"text":"University of Maryland Center for Environmental Science, Appalachian Laboratory,  301 Braddock Road, Frostburg, Maryland","active":true,"usgs":false}],"preferred":false,"id":784476,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vander Zanden, Hannah B.","contributorId":138885,"corporation":false,"usgs":false,"family":"Vander Zanden","given":"Hannah","email":"","middleInitial":"B.","affiliations":[{"id":12562,"text":"Department of Geology and Geophysics, University of Utah; Archie Carr Center for Sea Turtle Research, University of Florida","active":true,"usgs":false}],"preferred":false,"id":784475,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yee, Julie L. 0000-0003-1782-157X julie_yee@usgs.gov","orcid":"https://orcid.org/0000-0003-1782-157X","contributorId":3246,"corporation":false,"usgs":true,"family":"Yee","given":"Julie","email":"julie_yee@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":784477,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70209050,"text":"70209050 - 2020 - Climate change can drive marine diseases","interactions":[],"lastModifiedDate":"2020-06-02T23:49:13.289424","indexId":"70209050","displayToPublicDate":"2020-03-06T18:46:46","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"5","title":"Climate change can drive marine diseases","docAbstract":"<p><span>As an ultimate driver of marine ecosystem processes, climate change is expected to influence proximate disease drivers in marine systems. The observable effects of climate change, including changes in temperature, hypoxia, CO</span><sub>2</sub><span>&nbsp;accumulation, precipitation, and storm and cyclone frequencies and intensities, may directly act as proximate drivers of marine disease, especially in poikilotherms. These climate-driven changes are expected to result in the active and passive movement of pathogens and hosts into previously naïve geographical areas, thereby disrupting the long-evolved, stable host–pathogen relationships. Additionally, large-scale ecological changes stemming from climate change are expected to impact pathogen virulence and host susceptibilities. These real and anticipated changes present evolving challenges for resource managers who are charged with managing stochastic marine diseases in a constantly changing environment.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Marine disease ecology","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Oxford University Press","doi":"10.1093/oso/9780198821632.003.0005","usgsCitation":"Burge, C.A., and Hershberger, P., 2020, Climate change can drive marine diseases, chap. 5 <i>of</i> Marine disease ecology, p. 83-94, https://doi.org/10.1093/oso/9780198821632.003.0005.","productDescription":"12 p.","startPage":"83","endPage":"94","ipdsId":"IP-105723","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":375277,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2020-05-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Burge, Colleen A","contributorId":223231,"corporation":false,"usgs":false,"family":"Burge","given":"Colleen","email":"","middleInitial":"A","affiliations":[{"id":40689,"text":"Burge Lab of Aquatic Animal Health, Institute of Marine and Environmental Technology","active":true,"usgs":false}],"preferred":false,"id":784629,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hershberger, Paul 0000-0002-2261-7760 phershberger@usgs.gov","orcid":"https://orcid.org/0000-0002-2261-7760","contributorId":150816,"corporation":false,"usgs":true,"family":"Hershberger","given":"Paul","email":"phershberger@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":784630,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70227752,"text":"70227752 - 2020 - A socio-environmental geodatabase for integrative research in the transboundary Rio Grande/Río Bravo basin","interactions":[],"lastModifiedDate":"2022-04-15T16:17:24.763904","indexId":"70227752","displayToPublicDate":"2020-03-06T11:02:45","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":9366,"text":"CCAST Case Study on Actionable Science","active":true,"publicationSubtype":{"id":1}},"title":"A socio-environmental geodatabase for integrative research in the transboundary Rio Grande/Río Bravo basin","docAbstract":"<p dir=\"ltr\"><span>Management of water resources in the transboundary Rio Grande/Río Bravo Basin (the Basin) presents challenges for state and Federal entities in the United States and Mexico making management decisions on shared water resources. Damming, channelization, water availability, and allocation are governed by water rights and water-sharing agreements. Data and information sharing are important aspects of transboundary cooperation, but differences in format, content, spatial and temporal resolution, and language hinder collaboration. In addition, data on the kinds and geographic distribution of water governance and management institutions across the Basin have not been consistently documented. Existing data disparities parallel the hydrological and social fragmentation of the Basin.</span></p><p><span>Seeking to underscore the interdependence between social and environmental processes in the Basin, anthropologists and modelers collaborated to develop a socio-environmental geodatabase. This geodatabase is a first step in modeling the social components of decision making and their connectivity to environmental processes across the Basin. The geodatabase is available in an open-access domain and contains geospatial data related to water and land governance, hydrology, water use and hydraulic infrastructure, socioeconomics, and the biophysical environment necessary to advance the understanding of basin dynamics. Having these data documented and compiled in a central location serves as a resource to help decision makers better understand upstream and downstream social-environmental characteristics. This knowledge is useful for developing sustainable water management policies in a region where water resources are increasingly under pressure from climatic, environmental, and human-related changes.</span></p>","language":"English","publisher":"Collaborative Conservation and Adaptation Strategy Toolbox (CCAST)","usgsCitation":"Villa, J., 2020, A socio-environmental geodatabase for integrative research in the transboundary Rio Grande/Río Bravo basin: CCAST Case Study on Actionable Science, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-123961","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":398832,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":395033,"type":{"id":15,"text":"Index Page"},"url":"https://arcg.is/0bava9"}],"country":"Mexico, United States","state":"Chihuahua, New Mexico, Texas","otherGeospatial":"Rio Grande/Río Bravo basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -107.12493896484374,\n              31.421631960419596\n            ],\n            [\n              -105.90545654296875,\n              31.421631960419596\n            ],\n            [\n              -105.90545654296875,\n              32.58384932565662\n            ],\n            [\n              -107.12493896484374,\n              32.58384932565662\n            ],\n            [\n              -107.12493896484374,\n              31.421631960419596\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Villa, Jennifer 0000-0002-4774-7166","orcid":"https://orcid.org/0000-0002-4774-7166","contributorId":245824,"corporation":false,"usgs":true,"family":"Villa","given":"Jennifer","email":"","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":832043,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70209737,"text":"70209737 - 2020 - An analysis of the factors that control fault zone architecture and the importance of fault orientation relative to regional stress","interactions":[],"lastModifiedDate":"2020-09-10T19:49:15.238944","indexId":"70209737","displayToPublicDate":"2020-03-06T10:05:24","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"An analysis of the factors that control fault zone architecture and the importance of fault orientation relative to regional stress","docAbstract":"<p><span>The moment magnitude 7.2 El Mayor−Cucapah (EMC) earthquake of 2010 in northern Baja California, Mexico produced a cascading rupture that propagated through a geometrically diverse network of intersecting faults. These faults have been exhumed from depths of 6−10 km since the late Miocene based on low-temperature thermochronology, synkinematic alteration, and deformational fabrics. Coseismic slip of 1−6 m of the EMC event was accommodated by fault zones that displayed the full spectrum of architectural styles, from simple narrow fault zones (&lt;100 m in width) that have a single high-strain core, to complex wide fault zones (&gt;100 m in width) that have multiple anastomosing high-strain cores. As fault zone complexity and width increase the full spectrum of observed widths (20−200 m), coseismic slip becomes more broadly distributed on a greater number of scarps that form wider arrays. Thus, the infinitesimal slip of the surface rupture of a single earthquake strongly replicates many of the fabric elements that were developed during the long-term history of slip on the faults at deeper levels of the seismogenic crust. We find that factors such as protolith, normal stress, and displacement, which control gouge production in laboratory experiments, also affect the architectural complexity of natural faults. Fault zones developed in phyllosilicate-rich metasedimentary gneiss are generally wider and more complex than those developed in quartzo-feldspathic granitoid rocks. We hypothesize that the overall weakness and low strength contrast of faults developed in phyllosilicate rich host rocks leads to strain hardening and formation of broad, multi-stranded fault zones. Fault orientation also strongly affects fault zone complexity, which we find to increase with decreasing fault dip. We attribute this to the higher resolved normal stresses on gently dipping faults assuming a uniform stress field compatible with this extensional tectonic setting. The conditions that permit slip on misoriented surfaces with high normal stress should also produce failure of more optimally oriented slip systems in the fault zone, promoting complex branching and development of multiple high-strain cores. Overall, we find that fault zone architecture need not be strongly affected by differences in the amount of cumulative slip and instead is more strongly controlled by protolith and relative normal stress.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/B35308.1","usgsCitation":"Fletcher, J., Teran, O., Rockwell, T., Oskin, M.E., Hudnut, K.W., Spelz, R., Lacan, P., Dorsey, M., Ostermijer, G., Mitchell, T.M., Akciz, S., Hernandez-Flores, A.P., Hinojosa-Corona, A., Pena-Villa, I., and Lynch, D.K., 2020, An analysis of the factors that control fault zone architecture and the importance of fault orientation relative to regional stress: GSA Bulletin, v. 132, no. 9-10, p. 2084-2104, https://doi.org/10.1130/B35308.1.","productDescription":"21 p.","startPage":"2084","endPage":"2104","ipdsId":"IP-104624","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":457466,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/b35308.1","text":"Publisher Index Page"},{"id":374221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","state":"Baja California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.68603515624999,\n              31.348945815579977\n            ],\n            [\n              -114.78515624999999,\n              31.348945815579977\n            ],\n            [\n              -114.78515624999999,\n              32.26855544621476\n            ],\n            [\n              -115.68603515624999,\n              32.26855544621476\n            ],\n            [\n              -115.68603515624999,\n              31.348945815579977\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"132","issue":"9-10","noUsgsAuthors":false,"publicationDate":"2020-03-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Fletcher, John","contributorId":224315,"corporation":false,"usgs":false,"family":"Fletcher","given":"John","affiliations":[{"id":36253,"text":"CICESE","active":true,"usgs":false}],"preferred":false,"id":787741,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Teran, Orlando","contributorId":173905,"corporation":false,"usgs":false,"family":"Teran","given":"Orlando","affiliations":[{"id":17735,"text":"CICESE, Mexico","active":true,"usgs":false}],"preferred":false,"id":787742,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rockwell, Tom 0000-0001-5319-6447","orcid":"https://orcid.org/0000-0001-5319-6447","contributorId":224316,"corporation":false,"usgs":false,"family":"Rockwell","given":"Tom","email":"","affiliations":[{"id":5088,"text":"SDSU","active":true,"usgs":false}],"preferred":false,"id":787743,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oskin, Michael E.","contributorId":191806,"corporation":false,"usgs":false,"family":"Oskin","given":"Michael","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":787744,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hudnut, Kenneth W. 0000-0002-3168-4797 hudnut@usgs.gov","orcid":"https://orcid.org/0000-0002-3168-4797","contributorId":2550,"corporation":false,"usgs":true,"family":"Hudnut","given":"Kenneth","email":"hudnut@usgs.gov","middleInitial":"W.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":787745,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Spelz, Ronald","contributorId":173906,"corporation":false,"usgs":false,"family":"Spelz","given":"Ronald","email":"","affiliations":[{"id":27319,"text":"UABC","active":true,"usgs":false}],"preferred":false,"id":787746,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lacan, Pierre","contributorId":224317,"corporation":false,"usgs":false,"family":"Lacan","given":"Pierre","email":"","affiliations":[{"id":16152,"text":"UNAM","active":true,"usgs":false}],"preferred":false,"id":787747,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dorsey, Mathew","contributorId":224318,"corporation":false,"usgs":false,"family":"Dorsey","given":"Mathew","email":"","affiliations":[{"id":5088,"text":"SDSU","active":true,"usgs":false}],"preferred":false,"id":787748,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ostermijer, Giles","contributorId":224319,"corporation":false,"usgs":false,"family":"Ostermijer","given":"Giles","email":"","affiliations":[{"id":40858,"text":"Univ. College, London","active":true,"usgs":false}],"preferred":false,"id":787749,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mitchell, Thomas M.","contributorId":102774,"corporation":false,"usgs":false,"family":"Mitchell","given":"Thomas","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":787750,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Akciz, Sinan","contributorId":173907,"corporation":false,"usgs":false,"family":"Akciz","given":"Sinan","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":787751,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hernandez-Flores, Ana Paula","contributorId":173908,"corporation":false,"usgs":false,"family":"Hernandez-Flores","given":"Ana","email":"","middleInitial":"Paula","affiliations":[{"id":17735,"text":"CICESE, Mexico","active":true,"usgs":false}],"preferred":false,"id":787752,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hinojosa-Corona, Alejandro","contributorId":224327,"corporation":false,"usgs":false,"family":"Hinojosa-Corona","given":"Alejandro","email":"","affiliations":[],"preferred":false,"id":787753,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Pena-Villa, Ivan","contributorId":224322,"corporation":false,"usgs":false,"family":"Pena-Villa","given":"Ivan","email":"","affiliations":[{"id":36253,"text":"CICESE","active":true,"usgs":false}],"preferred":false,"id":787755,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Lynch, David K.","contributorId":88600,"corporation":false,"usgs":true,"family":"Lynch","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":787756,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70212501,"text":"70212501 - 2020 - Evidence for late Quaternary deformation along Crowley's Ridge, New Madrid seismic zone","interactions":[],"lastModifiedDate":"2020-08-18T14:24:18.557686","indexId":"70212501","displayToPublicDate":"2020-03-06T09:19:20","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for late Quaternary deformation along Crowley's Ridge, New Madrid seismic zone","docAbstract":"<p><span>The New Madrid seismic zone has been the source of multiple major (M ~7.0–7.5) earthquakes in the past 2 ka, yet the surface expression of recent deformation remains ambiguous. Crowleys Ridge, a linear ridge trending north‐south for 300+ km through the Mississippi Embayment, has been interpreted as either a fault‐bounded uplift or a nontectonic erosional remnant. New and previously published seismic reflection and shallow resistivity data show discontinuities at the ridge margins in Plio‐Pleistocene strata, yet the timing of most recent faulting and the lateral extent of these faults remain unknown. To assess Pleistocene‐to‐recent tectonic activity of Crowleys Ridge, we perform landscape‐scale geomorphic analyses, such as relief, slope, hypsometry, and drainage basin shape, on a 10‐m digital elevation model (DEM). North‐to‐south variations in geomorphic indices indicate Pleistocene‐to‐recent tectonic uplift of the southern ridge. Moreover, mapping on a &lt;1‐m lidar‐derived DEM reveals scarps on late Pleistocene geomorphic surfaces. The scarps are primarily located along the southern ridge, trend parallel to the ridge margin discontinuously for 0.1–1 km, and vertically offset &lt;56 ka surfaces 0.4 m with up to 6 m of tilting. These landscape‐scale patterns and scarps, integrated with discontinuities in the seismic reflection and resistivity data, provide evidence of low‐rate (&lt;0.2 mm/year) late Quaternary tectonic activity along the southern segment of Crowleys Ridge. The interpretations agree with recent tectonic models suggesting southern Crowleys Ridge is a compressional step over in a right‐lateral fault system within the Reelfoot Rift.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019TC005746","usgsCitation":"Thompson Jobe, J., Gold, R.D., Briggs, R.W., Williams, R., Stephenson, W.J., Delano, J.E., Shah, A.K., and Minsley, B.J., 2020, Evidence for late Quaternary deformation along Crowley's Ridge, New Madrid seismic zone: Tectonics, v. 39, e2019TC005746, 30 p., https://doi.org/10.1029/2019TC005746.","productDescription":"e2019TC005746, 30 p.","ipdsId":"IP-114068","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":437069,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TFRP5D","text":"USGS data release","linkHelpText":"Digital datasets documenting subsurface data locations, topographic metrics, fault scarp mapping, and revised fault network for Crowley's Ridge, New Madrid Seismic Zone"},{"id":377600,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Illinois, Kentucky, Missouri, Tennessee","otherGeospatial":"Crowley's Ridge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.724853515625,\n              34.551811369170494\n            ],\n            [\n              -87.989501953125,\n              34.551811369170494\n            ],\n            [\n              -87.989501953125,\n              37.57070524233116\n            ],\n            [\n              -91.724853515625,\n              37.57070524233116\n            ],\n            [\n              -91.724853515625,\n          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0000-0001-8699-0786 wstephens@usgs.gov","orcid":"https://orcid.org/0000-0001-8699-0786","contributorId":695,"corporation":false,"usgs":true,"family":"Stephenson","given":"William","email":"wstephens@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":796604,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Delano, Jaime E. 0000-0003-2601-2600","orcid":"https://orcid.org/0000-0003-2601-2600","contributorId":210604,"corporation":false,"usgs":true,"family":"Delano","given":"Jaime","email":"","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":796605,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shah, Anjana K. 0000-0002-3198-081X ashah@usgs.gov","orcid":"https://orcid.org/0000-0002-3198-081X","contributorId":2297,"corporation":false,"usgs":true,"family":"Shah","given":"Anjana","email":"ashah@usgs.gov","middleInitial":"K.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":796606,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Minsley, Burke J. 0000-0003-1689-1306 bminsley@usgs.gov","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":697,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"bminsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":796607,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70209816,"text":"70209816 - 2020 - Parasites in marine food webs","interactions":[],"lastModifiedDate":"2020-06-04T17:36:38.254087","indexId":"70209816","displayToPublicDate":"2020-03-06T08:54:24","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"2","title":"Parasites in marine food webs","docAbstract":"<p><span>Parasites have important and unique impacts on marine food webs. By infecting taxa across all trophic levels, parasites affect both bottom-up and top-down processes in marine systems. When host densities are high enough, parasites can regulate or even decimate their populations, causing regime shifts in marine systems. As consumers and resources, parasites are enmeshed in food webs in ways that are different from free-living species. Their unique lifestyle renders parasites more susceptible to perturbations than their free-living hosts. As a result, parasites serve as useful indicators of ecosystem integrity. A theory for how food webs affect parasites will help us better understand why a particular infectious disease has become problematic, give insight into how restoration might reduce a costly marine disease, or let us use parasites as indicators to follow changes in food-web complexity.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Marine disease ecology","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Oxford University Press","doi":"10.1093/oso/9780198821632.003.0002","usgsCitation":"McLaughlin, J.P., Morton, D.N., and Lafferty, K.D., 2020, Parasites in marine food webs, chap. 2 <i>of</i> Marine disease ecology, p. 45-60, https://doi.org/10.1093/oso/9780198821632.003.0002.","productDescription":"16 p.","startPage":"45","endPage":"60","ipdsId":"IP-097848","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":375353,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2020-05-21","publicationStatus":"PW","contributors":{"authors":[{"text":"McLaughlin, John P. 0000-0002-8756-2123","orcid":"https://orcid.org/0000-0002-8756-2123","contributorId":203516,"corporation":false,"usgs":false,"family":"McLaughlin","given":"John","email":"","middleInitial":"P.","affiliations":[{"id":36524,"text":"University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":788144,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morton, Dana N.","contributorId":224397,"corporation":false,"usgs":false,"family":"Morton","given":"Dana","email":"","middleInitial":"N.","affiliations":[{"id":37180,"text":"UC Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":788145,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":788146,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70212831,"text":"70212831 - 2020 - Soil biogeochemical responses of a tropical forest to warming and hurricane disturbance","interactions":[],"lastModifiedDate":"2020-08-31T13:42:02.129691","indexId":"70212831","displayToPublicDate":"2020-03-06T08:40:51","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"6","title":"Soil biogeochemical responses of a tropical forest to warming and hurricane disturbance","docAbstract":"Tropical forests represent <15% of Earths terrestrial surface yet support >50% of the planets species and play a disproportionately large role in determining climate due to the vast amounts of carbon they store and exchange with the atmosphere. Currently, disturbance patterns in tropical ecosystems are changing due to factors such as increased land use pressure and an occurrence of hurricanes. At the same time, these regions are expected to experience unprecedented warming before 2100. Despite the importance of these ecosystems for forecasting the global consequences of multiple stressors, our understanding of how projected changes in climate and disturbance will affect the biogeochemical cycling of tropical forests remains in its infancy. Until now, no studies to our knowledge have evaluated forest recovery following hurricane disturbance within the context of concurrent climatic change. Here, we present soil biogeochemical results from a tropical forest field warming experiment in Puerto Rico where, a year after experimental warming began, Hurricanes Irma and Mara greatly altered the forest, allowing a unique opportunity to explore the interacting effects of hurricane disturbance and warming. We tracked post-hurricane forest recovery for a year without warming to assess legacy effects of prior warming on the disturbance response, and then reinitiated warming treatments to further evaluate interactions between forest recovery and warmer temperatures. The data showed that warming affected multiple aspects of soil biogeochemical cycling even in the first year of treatment, with particularly large positive effects on soil microbial biomass pools (e.g., increases of 54, 43, and 46% relative to the control plots were observed for microbial biomass carbon, nitrogen, and phosphorus, respectively after 6 months of warming). We also observed significant effects of the hurricanes on soil biogeochemical cycling, as well as interactive controls of warming and disturbance. Taken together, our results showed dynamic soil responses that suggest the future of biogeochemical cycling in this tropical wet forest will be strongly shaped by the directional effects of warming and the episodic effects of hurricanes.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Advances in Ecological Research","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Science Direct","doi":"10.1016/bs.aecr.2020.01.007","usgsCitation":"Reed, S., Reibold, R.H., Cavaleri, M.A., Alonso-Rodriguez, A.M., Berberich, M.E., and Wood, T.E., 2020, Soil biogeochemical responses of a tropical forest to warming and hurricane disturbance, chap. 6 <i>of</i> Advances in Ecological Research, v. 62, p. 225-252, https://doi.org/10.1016/bs.aecr.2020.01.007.","productDescription":"28 p.","startPage":"225","endPage":"252","ipdsId":"IP-115219","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":378009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -67.2747802734375,\n              17.90556881196468\n            ],\n            [\n              -65.58563232421875,\n              17.90556881196468\n            ],\n            [\n              -65.58563232421875,\n              18.534304453676864\n            ],\n            [\n              -67.2747802734375,\n              18.534304453676864\n            ],\n            [\n              -67.2747802734375,\n              17.90556881196468\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"62","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":205372,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":797592,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reibold, Robin H. 0000-0002-3323-487X","orcid":"https://orcid.org/0000-0002-3323-487X","contributorId":207499,"corporation":false,"usgs":true,"family":"Reibold","given":"Robin","email":"","middleInitial":"H.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":797593,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cavaleri, Molly A.","contributorId":206282,"corporation":false,"usgs":false,"family":"Cavaleri","given":"Molly","email":"","middleInitial":"A.","affiliations":[{"id":34284,"text":"School of Forest Resources and Environmental Science, Michigan Technological University","active":true,"usgs":false}],"preferred":false,"id":797594,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alonso-Rodriguez, Aura M.","contributorId":206281,"corporation":false,"usgs":false,"family":"Alonso-Rodriguez","given":"Aura","email":"","middleInitial":"M.","affiliations":[{"id":37300,"text":"International Institute of Tropical Forestry, USDA Forest Service, Sabana Field Research Station, Luquillo, Puerto Rico","active":true,"usgs":false}],"preferred":false,"id":797595,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Berberich, Megan E.","contributorId":239684,"corporation":false,"usgs":false,"family":"Berberich","given":"Megan","email":"","middleInitial":"E.","affiliations":[{"id":47972,"text":"U.S. Forest Service, International Institute of Tropical forestry, 1201 Calle Ceiba, Jardín Botánico Sur, San Juan, PR 00926, USA","active":true,"usgs":false}],"preferred":false,"id":797596,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wood, Tana E.","contributorId":202372,"corporation":false,"usgs":false,"family":"Wood","given":"Tana","email":"","middleInitial":"E.","affiliations":[{"id":36399,"text":"International Institute of Tropical Forestry, USDA Forest Service, Rio Piedras, PR","active":true,"usgs":false}],"preferred":false,"id":797597,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70208975,"text":"70208975 - 2020 - Storm impacts on phytoplankton community dynamics in lakes","interactions":[],"lastModifiedDate":"2020-09-01T13:54:15.589491","indexId":"70208975","displayToPublicDate":"2020-03-05T18:33:35","publicationYear":"2020","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":"Storm impacts on phytoplankton community dynamics in lakes","docAbstract":"In many regions across the globe, extreme weather events such as storms have increased in frequency, intensity, and duration due to climate change. Ecological theory predicts that such extreme events should have large impacts on ecosystem structure and function. High winds and precipitation associated with storms can affect lakes via short‐term runoff events from watersheds and physical mixing of the water column. In addition, lakes connected to rivers and streams will also experience flushing due to high flow rates. Although we have a well‐developed understanding of how wind and precipitation events can alter lake physical processes and some aspects of biogeochemical cycling, our mechanistic understanding of the emergent responses of phytoplankton communities is poor. Here we provide a comprehensive synthesis that identifies how storms interact with lake and watershed attributes and their antecedent conditions to generate changes in lake physical and chemical environments. Such changes can restructure phytoplankton communities and their dynamics, as well as result in altered ecological function (e.g., carbon, nutrient and energy cycling) in the short‐ and long‐term. We summarize the current understanding of storm‐induced phytoplankton dynamics, identify knowledge gaps with a systematic review of the literature, and suggest future research directions across a gradient of lake types and environmental conditions.","language":"English","publisher":"Wiley","doi":"10.1111/gcb.15033","usgsCitation":"Stockwell, J.D., Doubek, J.P., Adrian, R., Anneville, O., Carey, C.C., Carvalho, L., Frassl, M.A., Domis, L.N., Grossart, H., Dur, G., Ibelings, B.W., Lajeunesse, M.J., Lewandowska, A.M., Llames, M.E., Matsuzaki, S.S., Nodine, E., Noges, P., Patil, V.P., Pomati, F., Rinke, K., Rudstam, L.G., Rusak, J.A., Salmaso, N., Seltmann, C.T., Straile, D., Thackeray, S.J., Thiery, W., Urrutia-Cordero, P., Venail, P., Verburg, P., Woolway, R., Zohary, T., Andersen, M., Bhattacharya, R., Hejzlar, J., Janatian, N., Kpodonu, A.T., Williamson, T.J., and Wilson, H., 2020, Storm impacts on phytoplankton community dynamics in lakes: Global Change Biology, v. 26, no. 5, p. 2756-2784, https://doi.org/10.1111/gcb.15033.","productDescription":"29 p.","startPage":"2756","endPage":"2784","ipdsId":"IP-110107","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":457484,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.15033","text":"Publisher Index Page"},{"id":373036,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2020-03-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Stockwell, Jason D. 0000-0003-3393-6799","orcid":"https://orcid.org/0000-0003-3393-6799","contributorId":61004,"corporation":false,"usgs":false,"family":"Stockwell","given":"Jason","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":784246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doubek, Jonathan P.","contributorId":223151,"corporation":false,"usgs":false,"family":"Doubek","given":"Jonathan","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":784291,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adrian, Rita 0000-0002-6318-7189","orcid":"https://orcid.org/0000-0002-6318-7189","contributorId":166831,"corporation":false,"usgs":false,"family":"Adrian","given":"Rita","email":"","affiliations":[{"id":24542,"text":"Department of Ecosystem Research, Leibniz Institute of Freshwater Ecology and Inland Fisheries, Müggelseedamm 301, D- 12587 Berlin, Germany","active":true,"usgs":false}],"preferred":false,"id":784292,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anneville, Orlane","contributorId":166833,"corporation":false,"usgs":false,"family":"Anneville","given":"Orlane","email":"","affiliations":[{"id":24544,"text":"National Institute for Agricultural Research (INRA), UMR Centre Alpin de Recherche sur les Réseaux Trophiques des Ecosystèmes Limniques (CARRTEL), 74200 Thonon-Les-Bains, France","active":true,"usgs":false}],"preferred":false,"id":784293,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Carey, Cayelan C.","contributorId":130969,"corporation":false,"usgs":false,"family":"Carey","given":"Cayelan","email":"","middleInitial":"C.","affiliations":[{"id":7185,"text":"Department of Biological Sciences, Virginia Tech, Blacksburg, VA, USA","active":true,"usgs":false}],"preferred":false,"id":784294,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Carvalho, Laurence","contributorId":197238,"corporation":false,"usgs":false,"family":"Carvalho","given":"Laurence","email":"","affiliations":[],"preferred":false,"id":784295,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Frassl, Marieke A.","contributorId":223153,"corporation":false,"usgs":false,"family":"Frassl","given":"Marieke","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":784298,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Domis, Lisette N. De Senerpont","contributorId":71448,"corporation":false,"usgs":true,"family":"Domis","given":"Lisette","email":"","middleInitial":"N. De Senerpont","affiliations":[],"preferred":false,"id":784296,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Dur, Gael","contributorId":223152,"corporation":false,"usgs":false,"family":"Dur","given":"Gael","email":"","affiliations":[],"preferred":false,"id":784297,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ibelings, Bas W","contributorId":130973,"corporation":false,"usgs":false,"family":"Ibelings","given":"Bas","email":"","middleInitial":"W","affiliations":[{"id":7189,"text":"Institut F.A. 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,{"id":70223324,"text":"70223324 - 2020 - Geodetic measurements of slow slip events southeast of Parkﬁeld, CA","interactions":[],"lastModifiedDate":"2021-08-23T23:00:40.643575","indexId":"70223324","displayToPublicDate":"2020-03-05T17:54:56","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Geodetic measurements of slow slip events southeast of Parkﬁeld, CA","docAbstract":"<p><span>Tremor and low-frequency earthquakes are presumed to be indicative of surrounding slow, aseismic slip that is often below geodetic detection thresholds. This study uses data from borehole seismometers and long-baseline laser strainmeters to observe both the seismic and geodetic signatures of episodic tremor and slip on the Parkfield region of the San Andreas Fault near Cholame, CA. The observed occurrence rates of both the tremors and co-located families of low-frequency earthquakes are not steady but instead exhibit quasiperiodic bursts of increased activity. We show that these periods of elevated seismic activity correlate with statistically significant stacked strain signals consisting of 44 slow-slip events. Modeled individual slow-slip events and their total summed moment, which are constrained by seismic signals and stacked strain, respectively, indicate that the individual moment magnitudes of these events range from&nbsp;</span><img class=\"section_image\" src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/d234dc98-bafb-4857-b071-66f198957b70/jgrb54084-math-0001.png\" alt=\"urn:x-wiley:jgrb:media:jgrb54084:jgrb54084-math-0001\" data-mce-src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/d234dc98-bafb-4857-b071-66f198957b70/jgrb54084-math-0001.png\"><span>&nbsp;4.6–5.2. We find that the measured geodetic signal likely precedes the seismic signal by several hours, consistent with the aseismic slip preceding and driving the observed seismic tremor activity. We confirm that strike-slip faults, in addition to subduction zones, are capable of producing episodic tremor and slip.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019JB019059","usgsCitation":"Delbridge, B.G., Carmichael, J.D., Nadeau, R., Shelly, D.R., and Burgmann, R., 2020, Geodetic measurements of slow slip events southeast of Parkﬁeld, CA: Journal of Geophysical Research, v. 125, no. 5, e2019JB019059, 20 p., https://doi.org/10.1029/2019JB019059.","productDescription":"e2019JB019059, 20 p.","ipdsId":"IP-117218","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":457485,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1630866","text":"External Repository"},{"id":388397,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"California","otherGeospatial":"Parkfield slow-slip region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.640625,\n              35.15584570226544\n            ],\n            [\n              -118.27880859374999,\n              35.15584570226544\n            ],\n            [\n              -118.27880859374999,\n              36.66841891894786\n            ],\n            [\n              -121.640625,\n              36.66841891894786\n            ],\n            [\n              -121.640625,\n              35.15584570226544\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"125","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Delbridge, Brent G. 0000-0003-2808-8772","orcid":"https://orcid.org/0000-0003-2808-8772","contributorId":192986,"corporation":false,"usgs":false,"family":"Delbridge","given":"Brent","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":821739,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carmichael, Joshua D. 0000-0001-5752-5738","orcid":"https://orcid.org/0000-0001-5752-5738","contributorId":264608,"corporation":false,"usgs":false,"family":"Carmichael","given":"Joshua","email":"","middleInitial":"D.","affiliations":[{"id":54513,"text":"EES-17 (Geophysics), Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":821740,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nadeau, Robert M. 0000-0003-1255-0643","orcid":"https://orcid.org/0000-0003-1255-0643","contributorId":264609,"corporation":false,"usgs":false,"family":"Nadeau","given":"Robert M.","affiliations":[{"id":54514,"text":"Berkeley Seismological Laboratory, University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":821741,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shelly, David R. 0000-0003-2783-5158 dshelly@usgs.gov","orcid":"https://orcid.org/0000-0003-2783-5158","contributorId":206750,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":821742,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burgmann, Roland 0000-0002-3560-044X","orcid":"https://orcid.org/0000-0002-3560-044X","contributorId":264610,"corporation":false,"usgs":false,"family":"Burgmann","given":"Roland","email":"","affiliations":[{"id":54514,"text":"Berkeley Seismological Laboratory, University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":821743,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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