We investigate the geometry and width of the southernmost stretch of the San Andreas Fault zone using new gravity and magnetic data along line 7 of the Salton Seismic Imaging Project. In the Salt Creek area of Durmid Hill, the San Andreas Fault coincides with a complex magnetic signature, with high-amplitude, short-wavelength magnetic anomalies superposed on a broader magnetic anomaly that is at least 5 km wide centered 2–3 km northeast of the fault. Marine magnetic data show that high-frequency magnetic anomalies extend more than 1 km west of the mapped trace of the San Andreas Fault. Modeling of magnetic data is consistent with a moderate to steep (> 50 degrees) northeast dip of the San Andreas Fault, but also suggests that the sedimentary sequence is folded west of the fault, causing the short wavelength of the anomalies west of the fault. Gravity anomalies are consistent with the previously modeled seismic velocity structure across the San Andreas Fault. Modeling of gravity data indicates a steep dip for the San Andreas Fault, but does not resolve unequivocally the direction of dip. Gravity data define a deeper basin, bounded by the Powerline and Hot Springs Faults, than imaged by the seismic experiment. This basin extends southeast of Line 7 for nearly 20 km, with linear margins parallel to the San Andreas Fault. These data suggest that the San Andreas Fault zone is wider than indicated by its mapped surface trace.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Not a drop left to drink","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2014 Desert Symposium","conferenceDate":"April 2014","language":"English","publisher":"California State University Desert Studies Center","publisherLocation":"Fullerton, CA","usgsCitation":"Langenheim, V., Athens, N.D., Scheirer, D., Fuis, G.S., Rymer, M.J., and Goldman, M.R., 2014, Width and dip of the southern San Andreas Fault at Salt Creek from modeling of geophysical data, in Not a drop left to drink, April 2014, p. 83-93.","productDescription":"11 p.","startPage":"83","endPage":"93","ipdsId":"IP-054142","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":340114,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":313214,"type":{"id":15,"text":"Index Page"},"url":"https://nsm.fullerton.edu/dsc/desert-studies-center-additional-information"}],"country":"United States","state":"California","otherGeospatial":"San Andreas Fault","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58fdbd19e4b0074928294489","contributors":{"editors":[{"text":"Reynolds, Robert E.","contributorId":113220,"corporation":false,"usgs":true,"family":"Reynolds","given":"Robert E.","affiliations":[],"preferred":false,"id":692466,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Langenheim, Victoria E. 0000-0003-2170-5213 zulanger@usgs.gov","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":151042,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria E.","email":"zulanger@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":584145,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Athens, Noah D. nathens@usgs.gov","contributorId":4866,"corporation":false,"usgs":true,"family":"Athens","given":"Noah","email":"nathens@usgs.gov","middleInitial":"D.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":584146,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scheirer, Daniel S. dscheirer@usgs.gov","contributorId":2325,"corporation":false,"usgs":true,"family":"Scheirer","given":"Daniel S.","email":"dscheirer@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":584147,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuis, Gary S. 0000-0002-3078-1544 fuis@usgs.gov","orcid":"https://orcid.org/0000-0002-3078-1544","contributorId":2639,"corporation":false,"usgs":true,"family":"Fuis","given":"Gary","email":"fuis@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":584148,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rymer, Michael J. mrymer@usgs.gov","contributorId":1522,"corporation":false,"usgs":true,"family":"Rymer","given":"Michael","email":"mrymer@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":584149,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goldman, Mark R. 0000-0002-0802-829X goldman@usgs.gov","orcid":"https://orcid.org/0000-0002-0802-829X","contributorId":1521,"corporation":false,"usgs":true,"family":"Goldman","given":"Mark","email":"goldman@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":584150,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70188031,"text":"70188031 - 2014 - Development of a generic auto-calibration package for regional ecological modeling and application in the Central Plains of the United States","interactions":[],"lastModifiedDate":"2017-05-31T15:23:13","indexId":"70188031","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1457,"text":"Ecological Informatics","active":true,"publicationSubtype":{"id":10}},"title":"Development of a generic auto-calibration package for regional ecological modeling and application in the Central Plains of the United States","docAbstract":"Process-oriented ecological models are frequently used for predicting potential impacts of global changes such as climate and land-cover changes, which can be useful for policy making. It is critical but challenging to automatically derive optimal parameter values at different scales, especially at regional scale, and validate the model performance. In this study, we developed an automatic calibration (auto-calibration) function for a well-established biogeochemical model—the General Ensemble Biogeochemical Modeling System (GEMS)-Erosion Deposition Carbon Model (EDCM)—using data assimilation technique: the Shuffled Complex Evolution algorithm and a model-inversion R package—Flexible Modeling Environment (FME). The new functionality can support multi-parameter and multi-objective auto-calibration of EDCM at the both pixel and regional levels. We also developed a post-processing procedure for GEMS to provide options to save the pixel-based or aggregated county-land cover specific parameter values for subsequent simulations. In our case study, we successfully applied the updated model (EDCM-Auto) for a single crop pixel with a corn–wheat rotation and a large ecological region (Level II)—Central USA Plains. The evaluation results indicate that EDCM-Auto is applicable at multiple scales and is capable to handle land cover changes (e.g., crop rotations). The model also performs well in capturing the spatial pattern of grain yield production for crops and net primary production (NPP) for other ecosystems across the region, which is a good example for implementing calibration and validation of ecological models with readily available survey data (grain yield) and remote sensing data (NPP) at regional and national levels. The developed platform for auto-calibration can be readily expanded to incorporate other model inversion algorithms and potential R packages, and also be applied to other ecological models.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoinf.2013.11.008","usgsCitation":"Wu, Y., Liu, S., Li, Z., Dahal, D., Young, C.J., Schmidt, G.L., Liu, J., Davis, B., Sohl, T.L., Werner, J.M., and Oeding, J., 2014, Development of a generic auto-calibration package for regional ecological modeling and application in the Central Plains of the United States: Ecological Informatics, v. 19, p. 35-46, https://doi.org/10.1016/j.ecoinf.2013.11.008.","productDescription":"12 p.","startPage":"35","endPage":"46","ipdsId":"IP-052570","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":341959,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"592fd641e4b0e9bd0ea8970f","contributors":{"authors":[{"text":"Wu, Yiping 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Devendra 0000-0001-9594-1249 ddahal@usgs.gov","orcid":"https://orcid.org/0000-0001-9594-1249","contributorId":5622,"corporation":false,"usgs":true,"family":"Dahal","given":"Devendra","email":"ddahal@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696824,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Young, Claudia J. 0000-0002-0859-7206 cyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-0859-7206","contributorId":2770,"corporation":false,"usgs":true,"family":"Young","given":"Claudia","email":"cyoung@usgs.gov","middleInitial":"J.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":696825,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schmidt, Gail L. 0000-0002-9684-8158 gschmidt@usgs.gov","orcid":"https://orcid.org/0000-0002-9684-8158","contributorId":3475,"corporation":false,"usgs":true,"family":"Schmidt","given":"Gail","email":"gschmidt@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696826,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liu, Jinxun 0000-0003-0561-8988 jxliu@usgs.gov","orcid":"https://orcid.org/0000-0003-0561-8988","contributorId":3414,"corporation":false,"usgs":true,"family":"Liu","given":"Jinxun","email":"jxliu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":696827,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Davis, Brian","contributorId":57142,"corporation":false,"usgs":true,"family":"Davis","given":"Brian","affiliations":[],"preferred":false,"id":696828,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sohl, Terry L. 0000-0002-9771-4231 sohl@usgs.gov","orcid":"https://orcid.org/0000-0002-9771-4231","contributorId":648,"corporation":false,"usgs":true,"family":"Sohl","given":"Terry","email":"sohl@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696829,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Werner, Jeremy M.","contributorId":192558,"corporation":false,"usgs":false,"family":"Werner","given":"Jeremy","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":696830,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Oeding, Jennifer joeding@usgs.gov","contributorId":4070,"corporation":false,"usgs":true,"family":"Oeding","given":"Jennifer","email":"joeding@usgs.gov","affiliations":[],"preferred":true,"id":696831,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70128306,"text":"70128306 - 2014 - 2011 Summary: Coastal wetland restoration research","interactions":[],"lastModifiedDate":"2017-04-25T10:36:08","indexId":"70128306","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"2011 Summary: Coastal wetland restoration research","docAbstract":"The Great Lakes Restoration Initiative (GLRI) projects currently taking place in Great Lakes coastal wetlands provide a unique opportunity to study ecosystem response to management actions as practitioners strive to improve wetland function and increase ecosystem services. Through a partnership between the U.S. Geological Survey – Great Lakes Science Center (GLSC), U.S. Fish and Wildlife Service (USFWS), and Ducks Unlimited, a GLRI-funded project has reestablished the hydrologic connection between an intensively managed impounded wetland (Pool 2B) and Crane Creek, a small Lake Erie tributary, by building a water-control structure that was opened in the spring of 2011. The study site is located within the USFWS Ottawa National Wildlife Refuge (ONWR) and lies within the boundaries of the U.S. Environmental Protection Agency (EPA)-designated Maumee River Area of Concern. The broad objective of the project is to evaluate how hydrologically reconnecting a previously diked wetland impacts fish, mollusks, and other biota and affects nutrient transport, nutrient cycling, water quality, flood storage, and many other abiotic conditions. The results from this project suggest large system-wide benefits from sustainable reestablishment of lake-driven hydrology in this and other similar systems.
We comprehensively sampled water chemistry, fish, birds, plants, and invertebrates in Crane Creek coastal wetlands, Pool 2A (a reference diked wetland), and Pool 2B (the reconnected wetland) in 2010 and 2011 to:
1) Characterize spatial and seasonal patterns for these parameters.
2) Examine ecosystem response to the opening of a water-control structure that allows fish passage
Our sampling efforts have yielded data that reveal striking changes in water quality, hydrology, and fish assemblages in our experimental unit (2B). Prior to the reconnection, the water chemistry in pools 2A and 2B were very similar. Afterwards, we found that the water chemistry in reconnected Pool 2B was more similar to Crane Creek (e.g., greater turbidity, higher concentration of nitrogen). Sites closest to the structure showed the most creek influence with that influence decreasing with distance from the structure, suggesting that input water from Crane Creek is not mixing fully with the pool water. We also found that water level fluctuations were much greater in the reconnected wetland due to the influence of seiches in Lake Erie. We measured the nutrient concentrations of water flowing into and out of Pool 2B during seiche events and found that the phosphorous and nitrogen concentrations generally were drastically reduced after pulsing through the reconnected wetland. Fish response to the reconnection was equally striking. High-resolution sonar revealed extensive bidirectional movement of fish through the structure on a daily and seasonal basis. There also were significant increases in both the catch per unit effort (CPUE) and the species richness of all sites in Pool 2B from 2010 to 2011. Reconnecting the diked pool to the larger Crane Creek wetland complex, and therefore Lake Erie, has opened up rich new habitat for many fish species. Thirteen species of fish not previously found in the pool entered through the structure and actively used the reconnected wetland. We also found that the wetland functions as a productive spawning ground and nursery area with notable shifts in the predominant age-class of several species of fish, especially northern pike. We observed no negative effects of reconnection on the avian or vegetative communities. All sites within the connected pool had increases in diversity and abundance in the avian community and decreases in the species richness and Floristic Quality Assessment Index values for vegetative communities. After one year of study, data suggest that maintaining a hydrologic connection between diked and coastal wetlands in Lake Erie allows fishes to use vegetated habitats regularly, reduces the concentration of nutrients in coastal waters, and maintains productive habitats for birds and other biota. It will be important to continue to monitor the status of the reconnected wetland to determine the effect of long-term connection to Crane Creek and Lake Erie. If conditions degrade, periodic management actions involving hydrologic isolation of the rehabilitated coastal wetland could be used to mimic intermediate levels of disturbance and maintain wetland vegetation.
","publisher":"Great Lakes Science Center","usgsCitation":"Kowalski, K., Wiley, M., Wilcox, D.A., Carlson Mazur, M.L., Czayka, A., Dominguez, A., Doty, S., Eggleston, M., Green, S., and Sweetman, A., 2014, 2011 Summary: Coastal wetland restoration research, 65 p.","productDescription":"65 p.","ipdsId":"IP-040652","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":340239,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295008,"type":{"id":11,"text":"Document"},"url":"https://www.fws.gov/refuge/Ottawa/what_we_do/resource_management.html"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59006065e4b0e85db3a5ddf1","contributors":{"authors":[{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":519710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wiley, Michael J.","contributorId":73942,"corporation":false,"usgs":false,"family":"Wiley","given":"Michael J.","affiliations":[{"id":6649,"text":"University of Michigan, School of Natural Resources and Environment","active":true,"usgs":false}],"preferred":false,"id":692726,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilcox, Douglas A.","contributorId":36880,"corporation":false,"usgs":true,"family":"Wilcox","given":"Douglas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":692727,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carlson Mazur, Martha L.","contributorId":95377,"corporation":false,"usgs":true,"family":"Carlson Mazur","given":"Martha","email":"","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":692728,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Czayka, Alex","contributorId":191324,"corporation":false,"usgs":false,"family":"Czayka","given":"Alex","email":"","affiliations":[],"preferred":false,"id":692729,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dominguez, Andrea","contributorId":191325,"corporation":false,"usgs":false,"family":"Dominguez","given":"Andrea","email":"","affiliations":[],"preferred":false,"id":692730,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Doty, Susan","contributorId":191326,"corporation":false,"usgs":false,"family":"Doty","given":"Susan","email":"","affiliations":[],"preferred":false,"id":692731,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Eggleston, Mike","contributorId":191327,"corporation":false,"usgs":false,"family":"Eggleston","given":"Mike","email":"","affiliations":[],"preferred":false,"id":692732,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Green, Sean","contributorId":191328,"corporation":false,"usgs":false,"family":"Green","given":"Sean","email":"","affiliations":[],"preferred":false,"id":692733,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sweetman, Amanda","contributorId":191329,"corporation":false,"usgs":false,"family":"Sweetman","given":"Amanda","email":"","affiliations":[],"preferred":false,"id":692734,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70186564,"text":"70186564 - 2014 - Self-recognition in corals facilitates deep-sea habitat engineering","interactions":[],"lastModifiedDate":"2017-04-05T16:16:26","indexId":"70186564","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","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":"Self-recognition in corals facilitates deep-sea habitat engineering","docAbstract":"The ability of coral reefs to engineer complex three-dimensional habitats is central to their success and the rich biodiversity they support. In tropical reefs, encrusting coralline algae bind together substrates and dead coral framework to make continuous reef structures, but beyond the photic zone, the cold-water coral Lophelia pertusa also forms large biogenic reefs, facilitated by skeletal fusion. Skeletal fusion in tropical corals can occur in closely related or juvenile individuals as a result of non-aggressive skeletal overgrowth or allogeneic tissue fusion, but contact reactions in many species result in mortality if there is no ‘self-recognition’ on a broad species level. This study reveals areas of ‘flawless’ skeletal fusion in Lophelia pertusa, potentially facilitated by allogeneic tissue fusion, are identified as having small aragonitic crystals or low levels of crystal organisation, and strong molecular bonding. Regardless of the mechanism, the recognition of ‘self’ between adjacent L. pertusa colonies leads to no observable mortality, facilitates ecosystem engineering and reduces aggression-related energetic expenditure in an environment where energy conservation is crucial. The potential for self-recognition at a species level, and subsequent skeletal fusion in framework-forming cold-water corals is an important first step in understanding their significance as ecological engineers in deep-seas worldwide.
","language":"English","publisher":"Nature","doi":"10.1038/srep06782","usgsCitation":"Hennige, S.J., Morrison, C.L., Form, A.U., Buscher, J., Kamenos, N.A., and Roberts, J.M., 2014, Self-recognition in corals facilitates deep-sea habitat engineering: Scientific Reports, v. 4, p. 1-7, https://doi.org/10.1038/srep06782.","productDescription":"Article 6782; 7 p.","startPage":"1","endPage":"7","ipdsId":"IP-052554","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":473433,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/srep06782","text":"Publisher Index Page"},{"id":339271,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-27","publicationStatus":"PW","scienceBaseUri":"58e60273e4b09da6799ac68b","contributors":{"authors":[{"text":"Hennige, Sebastian J","contributorId":190561,"corporation":false,"usgs":false,"family":"Hennige","given":"Sebastian","email":"","middleInitial":"J","affiliations":[],"preferred":false,"id":689593,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morrison, Cheryl L. 0000-0001-9425-691X cmorrison@usgs.gov","orcid":"https://orcid.org/0000-0001-9425-691X","contributorId":146488,"corporation":false,"usgs":true,"family":"Morrison","given":"Cheryl","email":"cmorrison@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":689592,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Form, Armin U.","contributorId":190562,"corporation":false,"usgs":false,"family":"Form","given":"Armin","email":"","middleInitial":"U.","affiliations":[],"preferred":false,"id":689594,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buscher, Janina","contributorId":190563,"corporation":false,"usgs":false,"family":"Buscher","given":"Janina","email":"","affiliations":[],"preferred":false,"id":689595,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kamenos, Nicholas A.","contributorId":190564,"corporation":false,"usgs":false,"family":"Kamenos","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":689596,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roberts, J. Murray","contributorId":190565,"corporation":false,"usgs":false,"family":"Roberts","given":"J.","email":"","middleInitial":"Murray","affiliations":[],"preferred":false,"id":689597,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70191616,"text":"70191616 - 2014 - Evaluation and prioritization of stream habitat monitoring in the Lower Columbia Salmon and Steelhead Recovery Domain as related to the habitat monitoring needs of ESA recovery plans","interactions":[],"lastModifiedDate":"2018-03-02T16:29:49","indexId":"70191616","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesNumber":"PNAMP Series 2014-003","title":"Evaluation and prioritization of stream habitat monitoring in the Lower Columbia Salmon and Steelhead Recovery Domain as related to the habitat monitoring needs of ESA recovery plans","docAbstract":"The lower Columbia River and its tributaries once supported abundant runs of salmon and steelhead; however, there are five species currently listed under the federal Endangered Species Act (ESA). The National Marine Fisheries Service has completed, and is proposing for adoption, a comprehensive ESA Recovery Plan for the Lower Columbia Evolutionarily Significant Units (ESUs) based on the recovery plans developed by Oregon and Washington. One of the primary factors attributed to the decline of these species is habitat degradation. There are numerous entities conducting status and/or trends monitoring of instream habitat in the lower Columbia River Basin, but because the programs were developed for agency specific reasons, the existing monitoring efforts are not well coordinated, and often lack the spatial coverage, certainty, or species coverage necessary to answer questions related to status and trends of the ESA listed populations. The Pacific Northwest Aquatic Monitoring Partnership’s Integrated Status and Trends Monitoring (ISTM) project was initiated to improve integration of existing and new monitoring efforts by developing recommendations for sampling frames, protocols, and data sharing. In an effort to meet the ISTM project goals, five objectives were identified: (1) identify and prioritize decisions, questions, and monitoring objectives, (2) evaluate how existing programs align with these management decisions, questions, and objectives, (3) identify the most appropriate monitoring design to inform priority management decisions, questions, and objectives, (4) use trade-off analysis to develop specific recommendations for monitoring based on outcomes of Objectives 1-3 and (5) recommend implementation and reporting mechanisms. This report summarizes the effort to address Objectives 1 and 2, detailing the commonalities among the habitat characteristics that all entities measure and monitor, and how the metrics align with the priorities listed in the comprehensive recovery plan for the Lower Columbia ESUs.
","language":"English","publisher":"Pacific Northwest Aquatic Monitoring Partnership","usgsCitation":"Puls, A.L., Anlauf Dunn, K., and Graham Hudson, B., 2014, Evaluation and prioritization of stream habitat monitoring in the Lower Columbia Salmon and Steelhead Recovery Domain as related to the habitat monitoring needs of ESA recovery plans, 42 p.","productDescription":"42 p.","ipdsId":"IP-050765","costCenters":[{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true}],"links":[{"id":352198,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":352197,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.pnamp.org/sites/default/files/pnamp_2014-003_istm_habitat_report_final.pdf"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeee10e4b0da30c1bfc757","contributors":{"authors":[{"text":"Puls, Amy L. apuls@usgs.gov","contributorId":3202,"corporation":false,"usgs":true,"family":"Puls","given":"Amy","email":"apuls@usgs.gov","middleInitial":"L.","affiliations":[{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":712870,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anlauf Dunn, Kara","contributorId":197198,"corporation":false,"usgs":false,"family":"Anlauf Dunn","given":"Kara","email":"","affiliations":[],"preferred":false,"id":712871,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graham Hudson, Bernadette","contributorId":197199,"corporation":false,"usgs":false,"family":"Graham Hudson","given":"Bernadette","email":"","affiliations":[],"preferred":false,"id":712872,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70189372,"text":"70189372 - 2014 - Equations for calculating hydrogeochemical reactions of minerals and gases such as CO2 at high pressures and temperatures","interactions":[],"lastModifiedDate":"2017-07-12T09:20:32","indexId":"70189372","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Equations for calculating hydrogeochemical reactions of minerals and gases such as CO2 at high pressures and temperatures","title":"Equations for calculating hydrogeochemical reactions of minerals and gases such as CO2 at high pressures and temperatures","docAbstract":"Calculating the solubility of gases and minerals at the high pressures of carbon capture and storage in geological reservoirs requires an accurate description of the molar volumes of aqueous species and the fugacity coefficients of gases. Existing methods for calculating the molar volumes of aqueous species are limited to a specific concentration matrix (often seawater), have been fit for a limited temperature (below 60 °C) or pressure range, apply only at infinite dilution, or are defined for salts instead of individual ions. A more general and reliable calculation of apparent molar volumes of single ions is presented, based on a modified Redlich–Rosenfeld equation. The modifications consist of (1) using the Born equation to calculate the temperature dependence of the intrinsic volumes, following Helgeson–Kirkham–Flowers (HKF), but with Bradley and Pitzer’s expression for the dielectric permittivity of water, (2) using the pressure dependence of the extended Debye–Hückel equation to constrain the limiting slope of the molar volume with ionic strength, and (3) adopting the convention that the proton has zero volume at all ionic strengths, temperatures and pressures. The modifications substantially reduce the number of fitting parameters, while maintaining or even extending the range of temperature and pressure over which molar volumes can be accurately estimated. The coefficients in the HKF-modified-Redlich–Rosenfeld equation were fitted by least-squares on measured solution densities.
The limiting volume and attraction factor in the Van der Waals equation of state can be estimated with the Peng–Robinson approach from the critical temperature, pressure, and acentric factor of a gas. The Van der Waals equation can then be used to determine the fugacity coefficients for pure gases and gases in a mixture, and the solubility of the gas can be calculated from the fugacity, the molar volume in aqueous solution, and the equilibrium constant. The coefficients for the Peng–Robinson equations are readily available in the literature.
The required equations have been implemented in PHREEQC, version 3, and the parameters for calculating the partial molar volumes and fugacity coefficients have been added to the databases that are distributed with PHREEQC. The ease of use and power of the formulation are illustrated by calculating the solubility of CO2 at high pressures and temperatures, and comparing with well-known examples from the geochemical literature. The equations and parameterizations are suitable for wide application in hydrogeochemical systems, especially in the field of carbon capture and storage.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2013.10.003","usgsCitation":"Appelo, C., Parkhurst, D.L., and Post, V., 2014, Equations for calculating hydrogeochemical reactions of minerals and gases such as CO2 at high pressures and temperatures: Geochimica et Cosmochimica Acta, v. 125, p. 49-67, https://doi.org/10.1016/j.gca.2013.10.003.","productDescription":"19 p.","startPage":"49","endPage":"67","ipdsId":"IP-041823","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343643,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"125","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59673544e4b0d1f9f05dd7e1","contributors":{"authors":[{"text":"Appelo, C.A.J.","contributorId":106539,"corporation":false,"usgs":true,"family":"Appelo","given":"C.A.J.","email":"","affiliations":[],"preferred":false,"id":704412,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parkhurst, David L. 0000-0003-3348-1544 dlpark@usgs.gov","orcid":"https://orcid.org/0000-0003-3348-1544","contributorId":1088,"corporation":false,"usgs":true,"family":"Parkhurst","given":"David","email":"dlpark@usgs.gov","middleInitial":"L.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":704411,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Post, V.E.A.","contributorId":56078,"corporation":false,"usgs":true,"family":"Post","given":"V.E.A.","email":"","affiliations":[],"preferred":false,"id":704445,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70189086,"text":"70189086 - 2014 - Science applications of a multispectral microscopic imager for the astrobiological exploration of Mars","interactions":[],"lastModifiedDate":"2017-06-29T15:13:47","indexId":"70189086","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":912,"text":"Astrobiology","active":true,"publicationSubtype":{"id":10}},"title":"Science applications of a multispectral microscopic imager for the astrobiological exploration of Mars","docAbstract":"Future astrobiological missions to Mars are likely to emphasize the use of rovers with in situ petrologic capabilities for selecting the best samples at a site for in situ analysis with onboard lab instruments or for caching for potential return to Earth. Such observations are central to an understanding of the potential for past habitable conditions at a site and for identifying samples most likely to harbor fossil biosignatures. The Multispectral Microscopic Imager (MMI) provides multispectral reflectance images of geological samples at the microscale, where each image pixel is composed of a visible/shortwave infrared spectrum ranging from 0.46 to 1.73 μm. This spectral range enables the discrimination of a wide variety of rock-forming minerals, especially Fe-bearing phases, and the detection of hydrated minerals. The MMI advances beyond the capabilities of current microimagers on Mars by extending the spectral range into the infrared and increasing the number of spectral bands. The design employs multispectral light-emitting diodes and an uncooled indium gallium arsenide focal plane array to achieve a very low mass and high reliability. To better understand and demonstrate the capabilities of the MMI for future surface missions to Mars, we analyzed samples from Mars-relevant analog environments with the MMI. Results indicate that the MMI images faithfully resolve the fine-scale microtextural features of samples and provide important information to help constrain mineral composition. The use of spectral endmember mapping reveals the distribution of Fe-bearing minerals (including silicates and oxides) with high fidelity, along with the presence of hydrated minerals. MMI-based petrogenetic interpretations compare favorably with laboratory-based analyses, revealing the value of the MMI for future in situ rover-mediated astrobiological exploration of Mars.
","language":"English","publisher":"Mary Ann Liebert, Inc.","doi":"10.1089/ast.2013.1079","usgsCitation":"Nunez, J., Farmer, J., Sellar, R.G., Swayze, G.A., and Blaney, D.L., 2014, Science applications of a multispectral microscopic imager for the astrobiological exploration of Mars: Astrobiology, v. 14, no. 2, p. 132-169, https://doi.org/10.1089/ast.2013.1079.","productDescription":"38 p.","startPage":"132","endPage":"169","ipdsId":"IP-043167","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":473307,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3929460","text":"External Repository"},{"id":343169,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595611c2e4b0d1f9f05067b5","contributors":{"authors":[{"text":"Nunez, Jorge","contributorId":193980,"corporation":false,"usgs":false,"family":"Nunez","given":"Jorge","affiliations":[],"preferred":false,"id":702809,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farmer, Jack","contributorId":193981,"corporation":false,"usgs":false,"family":"Farmer","given":"Jack","affiliations":[],"preferred":false,"id":702810,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sellar, R. Glenn","contributorId":193982,"corporation":false,"usgs":false,"family":"Sellar","given":"R.","email":"","middleInitial":"Glenn","affiliations":[],"preferred":false,"id":702811,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swayze, Gregg A. 0000-0002-1814-7823 gswayze@usgs.gov","orcid":"https://orcid.org/0000-0002-1814-7823","contributorId":518,"corporation":false,"usgs":true,"family":"Swayze","given":"Gregg","email":"gswayze@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":702808,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blaney, Diana L.","contributorId":170055,"corporation":false,"usgs":false,"family":"Blaney","given":"Diana","email":"","middleInitial":"L.","affiliations":[{"id":25664,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California","active":true,"usgs":false}],"preferred":false,"id":702812,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70156788,"text":"70156788 - 2014 - Forest ecosystem reorganization underway in the Southwestern US: A preview of widespread forest changes in the Anthropocene","interactions":[],"lastModifiedDate":"2018-02-20T13:39:35","indexId":"70156788","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":62,"text":"Proceedings","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"RMRS-P-71","title":"Forest ecosystem reorganization underway in the Southwestern US: A preview of widespread forest changes in the Anthropocene","docAbstract":"No abstract available.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Forest conservation and management in the Anthropocene: Conference proceedings","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"U.S. Department of Agriculture: Rocky Mountain Research Station","usgsCitation":"Allen, C.D., 2014, Forest ecosystem reorganization underway in the Southwestern US: A preview of widespread forest changes in the Anthropocene: Proceedings RMRS-P-71, 20 p.","productDescription":"20 p.","startPage":"103","endPage":"122","ipdsId":"IP-058454","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":351829,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350429,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fs.usda.gov/treesearch/pubs/46127"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeee23e4b0da30c1bfc760","contributors":{"editors":[{"text":"Sample, V. Alaric","contributorId":33637,"corporation":false,"usgs":false,"family":"Sample","given":"V.","email":"","middleInitial":"Alaric","affiliations":[{"id":35996,"text":"Pinchot Institute for Conservation, Washington, DC","active":true,"usgs":false}],"preferred":false,"id":725488,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Bixler, R. Patrick","contributorId":98327,"corporation":false,"usgs":false,"family":"Bixler","given":"R.","email":"","middleInitial":"Patrick","affiliations":[{"id":35996,"text":"Pinchot Institute for Conservation, Washington, DC","active":true,"usgs":false}],"preferred":false,"id":725489,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":570547,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70141751,"text":"70141751 - 2014 - Stratigraphy, structure and regional correlation of eastern Blue Ridge sequences in southern Virginia and northwestern North Carolina: an interim report from new USGS mapping","interactions":[],"lastModifiedDate":"2015-03-06T10:12:29","indexId":"70141751","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1724,"text":"GSA Field Guides","active":true,"publicationSubtype":{"id":10}},"title":"Stratigraphy, structure and regional correlation of eastern Blue Ridge sequences in southern Virginia and northwestern North Carolina: an interim report from new USGS mapping","docAbstract":"Examination of key outcrops in the eastern Blue Ridge in southern Virginia and northwestern North Carolina is used to evaluate existing stratigraphic and structural models. Recent detailed mapping along the Blue Ridge Parkway and the eastern flank of the Mount Rogers massif provides the opportunity to (1) evaluate legacy data and interpretations and (2) formulate new ideas for regional correlation of eastern Blue Ridge geology.
\nLynchburg Group rocks in central Virginia (metagraywacke, quartzite, graphitic schist, amphibolite, and ultramafic rocks) carry southward along strike where they transition with other units. Wills Ridge Formation consists of graphitic schist, metagraywacke, and metaconglomerate, and marks the western boundary of the eastern Blue Ridge. The Ashe Formation consists of conglomeratic metagraywacke in southern Virginia, and mica gneiss, mica schist, and ultramafic rocks in North Carolina. The overlying Alligator Back Formation shows characteristic compositional pin-striped layers in mica gneiss, schist, and amphibolite.
\nThe contact between eastern Blue Ridge stratified rocks above Mesoproterozoic basement rocks is mostly faulted (Gossan Lead and Red Valley). The Callaway fault juxtaposes Ashe and Lynchburg rocks above Wills Ridge Formation. Alligator Back Formation rocks overlie Ashe and Lynchburg rocks along the Rock Castle Creek fault, which juxtaposes rocks of different metamorphism. The fault separates major structural domains: rocks with one penetrative foliation in the footwall, and pin-striped recrystallized compositional layering, superposed penetrative foliations, and cleavage characterize the hanging wall. These relationships are ambiguous along strike to the southwest, where the Ashe and Alligator Back formations are recrystallized at higher metamorphic grades.
","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/2014.0035(07)","usgsCitation":"Carter, M.W., and Merschat, A.J., 2014, Stratigraphy, structure and regional correlation of eastern Blue Ridge sequences in southern Virginia and northwestern North Carolina: an interim report from new USGS mapping: GSA Field Guides, v. 35, p. 215-241, https://doi.org/10.1130/2014.0035(07).","productDescription":"27 p.","startPage":"215","endPage":"241","numberOfPages":"27","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054099","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":298319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.4581298828125,\n 36.45000844447082\n ],\n [\n -81.4581298828125,\n 37.13842453422676\n ],\n [\n -80.08209228515625,\n 37.13842453422676\n ],\n [\n -80.08209228515625,\n 36.45000844447082\n ],\n [\n -81.4581298828125,\n 36.45000844447082\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"35","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-04-01","publicationStatus":"PW","scienceBaseUri":"54faddbce4b02419550db6e2","contributors":{"authors":[{"text":"Carter, Mark W. 0000-0003-0460-7638 mcarter@usgs.gov","orcid":"https://orcid.org/0000-0003-0460-7638","contributorId":4808,"corporation":false,"usgs":true,"family":"Carter","given":"Mark","email":"mcarter@usgs.gov","middleInitial":"W.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":540998,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Merschat, Arthur J. 0000-0002-9314-4067 amerschat@usgs.gov","orcid":"https://orcid.org/0000-0002-9314-4067","contributorId":4556,"corporation":false,"usgs":true,"family":"Merschat","given":"Arthur","email":"amerschat@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":540999,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70189782,"text":"70189782 - 2014 - CyberShake-derived ground-motion prediction models for the Los Angeles region with application to earthquake early warning","interactions":[],"lastModifiedDate":"2017-07-26T11:02:38","indexId":"70189782","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"CyberShake-derived ground-motion prediction models for the Los Angeles region with application to earthquake early warning","docAbstract":"Real-time applications such as earthquake early warning (EEW) typically use empirical ground-motion prediction equations (GMPEs) along with event magnitude and source-to-site distances to estimate expected shaking levels. In this simplified approach, effects due to finite-fault geometry, directivity and site and basin response are often generalized, which may lead to a significant under- or overestimation of shaking from large earthquakes (M > 6.5) in some locations. For enhanced site-specific ground-motion predictions considering 3-D wave-propagation effects, we develop support vector regression (SVR) models from the SCEC CyberShake low-frequency (<0.5 Hz) and broad-band (0–10 Hz) data sets. CyberShake encompasses 3-D wave-propagation simulations of >415 000 finite-fault rupture scenarios (6.5 ≤ M ≤ 8.5) for southern California defined in UCERF 2.0. We use CyberShake to demonstrate the application of synthetic waveform data to EEW as a ‘proof of concept’, being aware that these simulations are not yet fully validated and might not appropriately sample the range of rupture uncertainty. Our regression models predict the maximum and the temporal evolution of instrumental intensity (MMI) at 71 selected test sites using only the hypocentre, magnitude and rupture ratio, which characterizes uni- and bilateral rupture propagation. Our regression approach is completely data-driven (where here the CyberShake simulations are considered data) and does not enforce pre-defined functional forms or dependencies among input parameters. The models were established from a subset (∼20 per cent) of CyberShake simulations, but can explain MMI values of all >400 k rupture scenarios with a standard deviation of about 0.4 intensity units. We apply our models to determine threshold magnitudes (and warning times) for various active faults in southern California that earthquakes need to exceed to cause at least ‘moderate’, ‘strong’ or ‘very strong’ shaking in the Los Angeles (LA) basin. These thresholds are used to construct a simple and robust EEW algorithm: to declare a warning, the algorithm only needs to locate the earthquake and to verify that the corresponding magnitude threshold is exceeded. The models predict that a relatively moderate M6.5–7 earthquake along the Palos Verdes, Newport-Inglewood/Rose Canyon, Elsinore or San Jacinto faults with a rupture propagating towards LA could cause ‘very strong’ to ‘severe’ shaking in the LA basin; however, warning times for these events could exceed 30 s.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/gji/ggu198","usgsCitation":"Bose, M., Graves, R., Gill, D., Callaghan, S., and Maechling, P.J., 2014, CyberShake-derived ground-motion prediction models for the Los Angeles region with application to earthquake early warning: Geophysical Journal International, v. 198, no. 3, p. 1438-1457, https://doi.org/10.1093/gji/ggu198.","productDescription":"20 p.","startPage":"1438","endPage":"1457","ipdsId":"IP-054646","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":473293,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1093/gji/ggu198","text":"External Repository"},{"id":344321,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Los Angeles","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119,\n 33\n ],\n [\n -117,\n 33\n ],\n [\n -117,\n 35\n ],\n [\n -119,\n 35\n ],\n [\n -119,\n 33\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"198","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-07-03","publicationStatus":"PW","scienceBaseUri":"5979aa58e4b0ec1a488b8c3f","contributors":{"authors":[{"text":"Bose, Maren","contributorId":195135,"corporation":false,"usgs":false,"family":"Bose","given":"Maren","affiliations":[],"preferred":false,"id":706331,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graves, Robert 0000-0001-9758-453X rwgraves@usgs.gov","orcid":"https://orcid.org/0000-0001-9758-453X","contributorId":140738,"corporation":false,"usgs":true,"family":"Graves","given":"Robert","email":"rwgraves@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":706330,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gill, David","contributorId":195159,"corporation":false,"usgs":false,"family":"Gill","given":"David","email":"","affiliations":[],"preferred":false,"id":706332,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Callaghan, Scott","contributorId":195136,"corporation":false,"usgs":false,"family":"Callaghan","given":"Scott","email":"","affiliations":[],"preferred":false,"id":706333,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maechling, Phillip J.","contributorId":117072,"corporation":false,"usgs":false,"family":"Maechling","given":"Phillip","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":706334,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70168394,"text":"70168394 - 2014 - Quantifying spatial scaling patterns and their local and regional correlates in headwater streams: Implications for resilience","interactions":[],"lastModifiedDate":"2016-02-15T15:52:45","indexId":"70168394","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1468,"text":"Ecology and Society","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying spatial scaling patterns and their local and regional correlates in headwater streams: Implications for resilience","docAbstract":"The distribution of functional traits within and across spatiotemporal scales has been used to quantify and infer the relative resilience across ecosystems. We use explicit spatial modeling to evaluate within- and cross-scale redundancy in headwater streams, an ecosystem type with a hierarchical and dendritic network structure. We assessed the cross-scale distribution of functional feeding groups of benthic invertebrates in Swedish headwater streams during two seasons. We evaluated functional metrics, i.e., Shannon diversity, richness, and evenness, and the degree of redundancy within and across modeled spatial scales for individual feeding groups. We also estimated the correlates of environmental versus spatial factors of both functional composition and the taxonomic composition of functional groups for each spatial scale identified. Measures of functional diversity and within-scale redundancy of functions were similar during both seasons, but both within- and cross-scale redundancy were low. This apparent low redundancy was partly attributable to a few dominant taxa explaining the spatial models. However, rare taxa with stochastic spatial distributions might provide additional information and should therefore be considered explicitly for complementing future resilience assessments. Otherwise, resilience may be underestimated. Finally, both environmental and spatial factors correlated with the scale-specific functional and taxonomic composition. This finding suggests that resilience in stream networks emerges as a function of not only local conditions but also regional factors such as habitat connectivity and invertebrate dispersal.
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To further exacerbate matters, the perceptions associated with the mechanisms of species decline are often viewed myopically rather than across the entire species range. We used over 80 years of fish presence data collected from the Great Plains and associated ecoregions of the United States, to investigate the relative influence of changing environmental factors on the historic and current truncated distributions of the Arkansas River shiner Notropis girardi. Arkansas River shiner represent a threatened reproductive ecotype considered especially well adapted to the harsh environmental extremes of the Great Plains. Historic (n = 163 records) and current (n = 47 records) species distribution models were constructed using a vector-based approach in MaxEnt by splitting the available data at a time when Arkansas River shiner dramatically declined. Discharge and stream order were significant predictors in both models; however, the shape of the relationship between the predictors and species presence varied between time periods. Drift distance (river fragment length available for ichthyoplankton downstream drift before meeting a barrier) was a more important predictor in the current model and indicated river segments 375–780 km had the highest probability of species presence. Performance for the historic and current models was high (area under the curve; AUC > 0.95); however, forecasting and backcasting to alternative time periods suggested less predictive power. Our results identify fragments that could be considered refuges for endemic plains fish species and we highlight significant environmental factors (e.g., discharge) that could be manipulated to aid recovery.
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The San Francisco Bay area is home to millions of people, and the bay teems with both resident and migratory wildlife, plants, and fish. Fresh water mixes with salt water in the bay, which is subject both to riverine and marine (tides, waves, influx of salt water) influences. To understand this environment, the USGS, along with its partners, has been monitoring the bay’s waters continuously since 1988. Several water-quality variables are of particular importance to State and Federal resource managers and are monitored at key locations throughout the bay. Salinity, which indicates the relative mixing of fresh and ocean waters in the bay, is derived from specific conductance measurements. Water temperature, along with salinity, affects the density of water, which causes gravity driven circulation patterns and stratification in the water column. Turbidity is measured using light-scattering from suspended solids in water, and is used as a surrogate for suspended-sediment concentration (SSC). Suspended sediment often carries adsorbed contaminants; attenuates sunlight in the water column; deposits on tidal marsh and intertidal mudflats, which can help sustain these habitats as sea level rises; and deposits in ports and shipping channels, which can necessitate dredging. Dissolved oxygen, which is essential to a healthy ecosystem, is a fundamental indicator of water quality, and its concentration is affected by water temperature, salinity, ecosystem metabolism, tidal currents, and wind. Tidal currents in the bay reverse four times a day, and wind direction and intensity typically change on a daily cycle: consequently, salinity, water temperature, suspendedsediment concentration, and dissolvedoxygen concentration vary spatially and temporally throughout the bay, and continuous measurements are needed to observe these changes. The purpose of this fact sheet is to inform the public and resource managers of the availability of these water-quality data.\r\n","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143090","usgsCitation":"Buchanan, P.A., Downing-Kunz, M.A., Schoellhamer, D., Shellenbarger, G., and Weidich, K., 2014, Continuous water-quality and suspended-sediment transport monitoring in the San Francisco Bay, California, water years 2011–13: U.S. Geological Survey Fact Sheet 2014-3090, 4 p., https://doi.org/10.3133/fs20143090.","productDescription":"4 p.","ipdsId":"IP-050934","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":294438,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3090/"},{"id":347671,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":347670,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3090/pdf/fs2014-3090.pdf"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.01391601562499,\n 37.29153547292737\n ],\n [\n -121.33300781249999,\n 37.29153547292737\n ],\n [\n -121.33300781249999,\n 38.35027253825765\n ],\n [\n -123.01391601562499,\n 38.35027253825765\n ],\n [\n -123.01391601562499,\n 37.29153547292737\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5423cf09e4b037b608f9d3b9","contributors":{"authors":[{"text":"Buchanan, Paul A. 0000-0002-4796-4734 buchanan@usgs.gov","orcid":"https://orcid.org/0000-0002-4796-4734","contributorId":1018,"corporation":false,"usgs":true,"family":"Buchanan","given":"Paul","email":"buchanan@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":519347,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Downing-Kunz, Maureen A. 0000-0002-4879-0318 mdowning-kunz@usgs.gov","orcid":"https://orcid.org/0000-0002-4879-0318","contributorId":3690,"corporation":false,"usgs":true,"family":"Downing-Kunz","given":"Maureen","email":"mdowning-kunz@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":519349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":519346,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shellenbarger, Gregory gshellen@usgs.gov","contributorId":1133,"corporation":false,"usgs":true,"family":"Shellenbarger","given":"Gregory","email":"gshellen@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":519348,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weidich, Kurt kweidich@usgs.gov","contributorId":5922,"corporation":false,"usgs":true,"family":"Weidich","given":"Kurt","email":"kweidich@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":519350,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70150413,"text":"70150413 - 2014 - Environmental variables measured at multiple spatial scales exert uneven influence on fish assemblages of floodplain lakes","interactions":[],"lastModifiedDate":"2015-06-24T14:29:49","indexId":"70150413","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Environmental variables measured at multiple spatial scales exert uneven influence on fish assemblages of floodplain lakes","docAbstract":"We examined the interaction between environmental variables measured at three different scales (i.e., landscape, lake, and in-lake) and fish assemblage descriptors across a range of over 50 floodplain lakes in the Mississippi Alluvial Valley of Mississippi and Arkansas. Our goal was to identify important local- and landscape-level determinants of fish assemblage structure. Relationships between fish assemblage structure and variables measured at broader scales (i.e., landscape-level and lake-level) were hypothesized to be stronger than relationships with variables measured at finer scales (i.e., in-lake variables). Results suggest that fish assemblage structure in floodplain lakes was influenced by variables operating on three different scales. However, and contrary to expectations, canonical correlations between in-lake environmental characteristics and fish assemblage structure were generally stronger than correlations between landscape-level and lake-level variables and fish assemblage structure, suggesting a hierarchy of influence. From a resource management perspective, our study suggests that landscape-level and lake-level variables may be manipulated for conservation or restoration purposes, and in-lake variables and fish assemblage structure may be used to monitor the success of such efforts.
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These failures generated local tsunamis, such as at Whittier, where they inundated the town within 4 min of the beginning of shaking. Run-up was up to 32 m, with 13 casualties. We collected new multibeam bathymetry and high-resolution sparker seismic data in Passage Canal, and we examined bathymetry changes before and after the earthquake. The data reveal the debris flow deposit from the 1964 landslides, which covers the western 5 km of the fjord bottom. Individual blocks in the flow are up to 145-m wide and 25-m tall. Bathymetry changes show the mass transfer deposits originated from the fjord head and Whittier Creek deltas and had a volume of about 42 million m3. The 1964 deposit has an average thickness of ∼5.4 m. Beyond the debris flow, the failures likely deposited a ∼4.6-m thick megaturbidite in a distal basin. We have studied the 1964 submarine landslides in three fjords. All involved failure of the fjord-head delta. All failures eroded basin-floor sediments and incorporated them as they travelled. All the failures deposited blocks, but their size and travel distances varied greatly. We find a correlation between maximum block size and maximum tsunami run-up regardless of the volume of the slides. Lastly, the fjord’s margins were influenced by increased supply of glacial sediments during the little ice age, which along with a long interseismic interval (∼900 years) may have caused the 1964 earthquake to produce particularly numerous and large submarine landslides.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Submarine mass movements and their consequences, Advances in Natural and Technological Hazards Research Vol. 37 ","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-00972-8_32","usgsCitation":"Haeussler, P.J., Parsons, T.E., Finlayson, D.P., Hart, P.J., Chaytor, J., Ryan, H.F., Lee, H., Labay, K., Peterson, A., and Liberty, L., 2014, New imaging of submarine landslides from the 1964 earthquake near Whittier, Alaska, and a comparison to failures in other Alaskan fjords, chap. of Submarine mass movements and their consequences, Advances in Natural and Technological Hazards Research Vol. 37 , v. 37, p. 361-370, https://doi.org/10.1007/978-3-319-00972-8_32.","productDescription":"10 p.","startPage":"361","endPage":"370","ipdsId":"IP-052752","costCenters":[{"id":119,"text":"Alaska Science Center Geology 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Birds","interactions":[],"lastModifiedDate":"2017-10-24T15:16:28","indexId":"70175548","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Fifty-fifth supplement to the American Ornithologists' Union Check-list of North American Birds","docAbstract":"This is the 14th supplement since publication of the 7th edition of the Check-list of North American Birds (American Ornithologists' Union [AOU] 1998). It summarizes decisions made between May 15, 2013, and May 15, 2014, by the AOU's Committee on Classification and Nomenclature - North and Middle America. The Committee has continued to operate in the manner outlined in the 42nd Supplement (AOU 2000).
","language":"English","publisher":"American Ornithological Society","doi":"10.1642/AUK-14-124.1","usgsCitation":"Chesser, R., Banks, R.C., Cicero, C., Dunn, J.L., Kratter, A.W., Lovette, I.J., Navarro-Siguenza, A.G., Rasmussen, P.C., Remsen, J., Rising, J.D., Stotz, D.F., and Winker, K., 2014, Fifty-fifth supplement to the American Ornithologists' Union Check-list of North American Birds: The Auk, v. 131, no. 4, p. CSi-CSxv, https://doi.org/10.1642/AUK-14-124.1.","productDescription":"15 p.","startPage":"CSi","endPage":"CSxv","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057404","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":473294,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1642/auk-14-124.1","text":"Publisher Index Page"},{"id":326584,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"131","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57b43944e4b03bcb01039fb8","contributors":{"authors":[{"text":"Chesser, R. Terry 0000-0003-4389-7092 tchesser@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-7092","contributorId":894,"corporation":false,"usgs":true,"family":"Chesser","given":"R. Terry","email":"tchesser@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":645637,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Banks, Richard C.","contributorId":102933,"corporation":false,"usgs":true,"family":"Banks","given":"Richard","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":645638,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cicero, Carla","contributorId":145565,"corporation":false,"usgs":false,"family":"Cicero","given":"Carla","email":"","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":645639,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunn, Jon L.","contributorId":145566,"corporation":false,"usgs":false,"family":"Dunn","given":"Jon","email":"","middleInitial":"L.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":645640,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kratter, Andrew W.","contributorId":145567,"corporation":false,"usgs":false,"family":"Kratter","given":"Andrew","email":"","middleInitial":"W.","affiliations":[{"id":16151,"text":"Univ Fla","active":true,"usgs":false}],"preferred":false,"id":645641,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lovette, Irby J.","contributorId":145573,"corporation":false,"usgs":false,"family":"Lovette","given":"Irby","email":"","middleInitial":"J.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":645642,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Navarro-Siguenza, Adolfo G.","contributorId":145568,"corporation":false,"usgs":false,"family":"Navarro-Siguenza","given":"Adolfo","email":"","middleInitial":"G.","affiliations":[{"id":16152,"text":"UNAM","active":true,"usgs":false}],"preferred":false,"id":645643,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rasmussen, Pamela C.","contributorId":145569,"corporation":false,"usgs":false,"family":"Rasmussen","given":"Pamela","email":"","middleInitial":"C.","affiliations":[{"id":16153,"text":"Mich St Univ","active":true,"usgs":false}],"preferred":false,"id":645644,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Remsen, J.V. Jr.","contributorId":82258,"corporation":false,"usgs":true,"family":"Remsen","given":"J.V.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":645645,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rising, James D.","contributorId":145571,"corporation":false,"usgs":false,"family":"Rising","given":"James","email":"","middleInitial":"D.","affiliations":[{"id":16155,"text":"Univ Toronto","active":true,"usgs":false}],"preferred":false,"id":645646,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Stotz, Douglas F.","contributorId":145572,"corporation":false,"usgs":false,"family":"Stotz","given":"Douglas","email":"","middleInitial":"F.","affiliations":[{"id":16156,"text":"FMNH","active":true,"usgs":false}],"preferred":false,"id":645647,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Winker, Kevin","contributorId":140814,"corporation":false,"usgs":false,"family":"Winker","given":"Kevin","email":"","affiliations":[{"id":13586,"text":"University of Alaska Museum, University of Alaska Fairbanks, Fairbanks, Alaska, USA","active":true,"usgs":false}],"preferred":false,"id":645648,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70196789,"text":"70196789 - 2014 - Observations from borehole dilution logging experiments in fractured crystalline rock under variable hydraulic conditions","interactions":[],"lastModifiedDate":"2018-05-07T13:17:03","indexId":"70196789","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Observations from borehole dilution logging experiments in fractured crystalline rock under variable hydraulic conditions","docAbstract":"Identifying hydraulically active fractures in low permeability, crystalline-bedrock aquifers requires a variety of geophysical and hydrogeophysical borehole tools and approaches. One such approach is Single Borehole Dilution Tests (SBDT), which in some low flow cases have been shown to provide greater resolution of borehole flow than other logging procedures, such as vertical differential Heat Pulse Flowmeter (HPFM) logging. Because the tools used in SBDT collect continuous profiles of water quality or dye changes, they can identify horizontal flow zones and vertical flow. We used SBDT with a food grade blue dye as a tracer and dual photometer-nephelometer measurements to identify low flow zones.
SBDT were conducted at seven wells with open boreholes (exceeding 300 ft). At most of the wells HPFM logs were also collected. The seven wells are set in low-permeability, fractured granite and gneiss rocks underlying a former tetrachloroeythylene (PCE) source area at the Savage Municipal Well Superfund site in Milford, NH. Time series SBDT logs were collected at each of the seven wells under three distinct hydraulic conditions: (1) ambient conditions prior to a pump test at an adjacent well, (2) mid test, after 2-3 days of the start of the pump test, and (3) at the end of the test, after 8-9 days of the pump test. None of the SBDT were conducted under pumping conditions in the logged well. For each condition, wells were initially passively spiked with blue dye once and subsequent time series measurements were made.
Measurement accuracy and precision of the photometer tool is important in SBDT when attempting to detect low rates of borehole flow. Tests indicate that under ambient conditions, none of the wells had detectable flow as measured with HPFM logging. With SBDT, 4 of the 7 showed the presence of some very low flow. None of 5 (2 of the 7 wells initially logged with HPFM under ambient conditions were not re-logged) wells logged with the HPFM during the pump test had detectable flow. However, 3 of the 5 wells showed the patterns of very low flow with SBDT during the pump test including pumping induced changes of inflow and outflow patterns at one well.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Symposium on the application of geophysics to engineering and environmental problems 2014","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.4133/SAGEEP.27-034","usgsCitation":"Harte, P.T., Anderson, J.A., and Williams, J., 2014, Observations from borehole dilution logging experiments in fractured crystalline rock under variable hydraulic conditions, in Symposium on the application of geophysics to engineering and environmental problems 2014, p. 65-78, https://doi.org/10.4133/SAGEEP.27-034.","productDescription":"14 p.","startPage":"65","endPage":"78","ipdsId":"IP-052596","costCenters":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"links":[{"id":353977,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2014-08-25","publicationStatus":"PW","scienceBaseUri":"5afeee0fe4b0da30c1bfc749","contributors":{"authors":[{"text":"Harte, Philip T. 0000-0002-7718-1204 ptharte@usgs.gov","orcid":"https://orcid.org/0000-0002-7718-1204","contributorId":1008,"corporation":false,"usgs":true,"family":"Harte","given":"Philip","email":"ptharte@usgs.gov","middleInitial":"T.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":734415,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, J. Alton 0000-0001-8426-2507 aanders@usgs.gov","orcid":"https://orcid.org/0000-0001-8426-2507","contributorId":139789,"corporation":false,"usgs":true,"family":"Anderson","given":"J.","email":"aanders@usgs.gov","middleInitial":"Alton","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":734416,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, John H. 0000-0002-6054-6908 jhwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-6054-6908","contributorId":1553,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"jhwillia@usgs.gov","middleInitial":"H.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":734417,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70175378,"text":"70175378 - 2014 - Summary of preliminary step-trend analysis from the Interagency Whitebark Pine Long-termMonitoring Program—2004-2013","interactions":[],"lastModifiedDate":"2016-10-13T13:50:38","indexId":"70175378","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":52,"text":"Natural Resource Data Series","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/GRYN/NRDS—2014/600","title":"Summary of preliminary step-trend analysis from the Interagency Whitebark Pine Long-termMonitoring Program—2004-2013","docAbstract":"In mixed and dominant stands, whitebark pine (Pinus albicaulis) occurs in over two million acres within the six national forests and two national parks that comprise the Greater Yellowstone Ecosystem (GYE). Currently, whitebark pine, an ecologically important species, is impacted by multiple ecological disturbances; white pine blister rust (Cronartium ribicola), mountain pine beetle (Dendroctonus ponderosae), wildfire, and climate change all pose significant threats to the persistence of whitebark pine populations. Substantial declines in whitebark pine populations have been documented throughout its range.
Under the auspices of the Greater Yellowstone Coordinating Committee (GYCC), several agencies began a collaborative, long-term monitoring program to track and document the status of whitebark pine across the GYE. This alliance resulted in the formation of the Greater Yellowstone Whitebark Pine Monitoring Working Group (GYWPMWG), which consists of representatives from the U.S. Forest Service (USFS), National Park Service (NPS), U.S. Geological Survey (USGS), and Montana State University (MSU). This groundbased monitoring program was initiated in 2004 and follows a peer-reviewed protocol (GYWPMWG 2011). The program is led by the Greater Yellowstone Inventory and Monitoring Network (GRYN) of the National Park Service in coordination with multiple agencies. More information about this monitoring effort is available at: http://science. nature.nps.gov/im/units/gryn/monitor/whitebark_pine.cfm.
The purpose of this report is to provide a draft summary of the first step-trend analysis for the interagency, long-term monitoring of whitebark pine health to the Interagency Grizzly Bear Study Team (IGBST) as part of a synthesis of the state of whitebark pine in the GYE. Due to the various stages of the analyses and reporting, this is the most efficient way to provide these results to the IGBST.
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In 1979–1980, high nesting densities of 3 species of hawks in the genus Buteo—Ferruginous Hawk (Buteo regalis), Red-tailed Hawk (B. jamaicensis), and Swainson's Hawk (B. swainsoni)—were documented on the Zumwalt Prairie and surrounding agricultural areas (34,361 ha) in northeastern Oregon, USA. This area has been managed primarily as livestock summer range since it was homesteaded. Unlike in other prairie remnants, land management on the Zumwalt Prairie was consistent over the past several decades; thus, we predicted that territory occupancy of these 3 species would be stable. We also predicted that territory occupancy would be positively related to local availability of nesting structures within territories. We evaluated these hypotheses using a historical dataset, current survey and habitat data, and occupancy models. In support of our predictions, territory occupancy of all 3 species has not changed over the study period of ∼25 yr, which suggests that local range-management practices are not negatively affecting these taxa. Probability of Ferruginous Hawk occupancy increased with increasing area of aspen, an important nest structure for this species in grasslands. Probability of Swainson's Hawk occupancy increased with increasing area of large shrubs, and probability of Red-tailed Hawk occupancy was weakly associated with area of conifers. In the study area, large shrubs and conifers are commonly used as nesting structures by Swainson's Hawks and Red-tailed Hawks, respectively. Availability of these woody species is changing (increases in conifers and large shrubs, and decline in aspen) throughout the west, and these changes may result in declines in Ferruginous Hawk occupancy and increases in Swainson's Hawk and Red-tailed Hawk occupancy in the future.
","language":"English","publisher":"Cooper Ornithological Society","doi":"10.1650/CONDOR-12-174.1","usgsCitation":"Kennedy, P.L., Bartuszevige, A.M., Houle, M., Humphrey, A.B., Dugger, K.M., and Williams, J., 2014, Stable occupancy by breeding hawks (Buteo spp.) over 25 years on a privately managed bunchgrass prairie in northeastern Oregon, USA: The Condor, v. 116, no. 3, p. 435-445, https://doi.org/10.1650/CONDOR-12-174.1.","productDescription":"11 p.","startPage":"435","endPage":"445","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042226","costCenters":[{"id":517,"text":"Oregon Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":325089,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"116","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"579dd03be4b0589fa1cbde45","contributors":{"authors":[{"text":"Kennedy, Patricia L.","contributorId":172826,"corporation":false,"usgs":false,"family":"Kennedy","given":"Patricia","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":642201,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartuszevige, Anne M.","contributorId":172827,"corporation":false,"usgs":false,"family":"Bartuszevige","given":"Anne","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":642202,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Houle, Marcy","contributorId":172828,"corporation":false,"usgs":false,"family":"Houle","given":"Marcy","email":"","affiliations":[],"preferred":false,"id":642203,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Humphrey, Ann B.","contributorId":172829,"corporation":false,"usgs":false,"family":"Humphrey","given":"Ann","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":642204,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dugger, Katie M. 0000-0002-4148-246X","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":36037,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"","middleInitial":"M.","affiliations":[{"id":517,"text":"Oregon Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":518124,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Williams, John","contributorId":23842,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"","affiliations":[],"preferred":false,"id":642205,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70111082,"text":"70111082 - 2014 - Hydrologic alteration affects aquatic plant assemblages in an arid-land river","interactions":[],"lastModifiedDate":"2016-07-12T09:45:53","indexId":"70111082","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3451,"text":"Southwestern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic alteration affects aquatic plant assemblages in an arid-land river","docAbstract":"We evaluated the effects of long-term flow alteration on primary-producer assemblages. In 1962, Flaming Gorge Dam was constructed on the Green River. The Yampa River has remained an unregulated hydrologically variable river that joins the Green River 100 km downstream from Flaming Gorge Dam. In the 1960s before dam construction only sparse occurrences of two macroalgae, Cladophora and Chara, and no submerged vascular plants were recorded in the Green and Yampa rivers. In 2009–2010, aquatic plants were abundant and widespread in the Green River from the dam downstream to the confluence with the Yampa River. The assemblage consisted of six vascular species, Elodea canadensis, Myriophyllum sibiricum, Nasturtium officinale,Potamogeton crispus, Potamogeton pectinatus, and Ranunculus aquatilis, the macroalgae Chara and Cladophora, and the bryophyte, Amblystegium riparium. In the Green River downstream from the Yampa River, and in the Yampa River, only sparse patches of Chara and Cladophora growing in the splash zone on boulders were collected. We attribute the observed changes in the Green River to an increase in water transparency and a reduction in suspended and bed-load sediment and high flow disturbances. The lack of hydrophyte colonization downstream from the confluence with the Yampa River has implications for understanding tributary amelioration of dam effects and for designing more natural flow-regime schedules downstream from large dams.
","language":"English","publisher":"Southwestern Association of Naturalists","doi":"10.1894/JEM-04.1","usgsCitation":"Vinson, M., Hestmark, B., and Barkworth, M.E., 2014, Hydrologic alteration affects aquatic plant assemblages in an arid-land river: Southwestern Naturalist, v. 59, no. 4, p. 480-488, https://doi.org/10.1894/JEM-04.1.","productDescription":"9 p.","startPage":"480","endPage":"488","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050860","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":325080,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"579dcff7e4b0589fa1cbd9d3","contributors":{"authors":[{"text":"Vinson, Mark R. 0000-0001-5256-9539 mvinson@usgs.gov","orcid":"https://orcid.org/0000-0001-5256-9539","contributorId":3800,"corporation":false,"usgs":true,"family":"Vinson","given":"Mark","email":"mvinson@usgs.gov","middleInitial":"R.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":518901,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hestmark, Bennett","contributorId":172823,"corporation":false,"usgs":false,"family":"Hestmark","given":"Bennett","email":"","affiliations":[],"preferred":false,"id":642192,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barkworth, Mary E.","contributorId":172824,"corporation":false,"usgs":false,"family":"Barkworth","given":"Mary","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":642193,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70137757,"text":"70137757 - 2014 - Mount Rainier National Park","interactions":[],"lastModifiedDate":"2017-11-22T15:53:48","indexId":"70137757","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Mount Rainier National Park","docAbstract":"Natural Resource Condition Assessments (NRCAs) evaluate current conditions for a subset of natural resources and resource indicators in national parks. NRCAs also report on trends in resource condition (when possible), identify critical data gaps, and characterize a general level of confidence for study findings. The resources and indicators emphasized in a given project depend on the park’s resource setting, status of resource stewardship planning and science in identifying high-priority indicators, and availability of data and expertise to assess current conditions for a variety of potential study resources and indicators. Although the primary objective of NRCAs is to report on current conditions relative to logical forms of reference conditions and values, NRCAs also report on trends, when appropriate (i.e., when the underlying data and methods support such reporting), as well as influences on resource conditions. These influences may include past activities or conditions that provide a helpful context for understanding current conditions and present-day threats and stressors that are best interpreted at park, watershed, or landscape scales (though NRCAs do not report on condition status for land areas and natural resources beyond park boundaries). Intensive cause-andeffect analyses of threats and stressors, and development of detailed treatment options, are outside the scope of NRCAs. It is also important to note that NRCAs do not address resources that lack sufficient data for assessment. For Mount Rainier National Park, this includes most invertebrate species and many other animal species that are subject to significant stressors from climate change and other anthropogenic sources such as air pollutants and recreational use. In addition, we did not include an analysis of the physical hydrology associated with streams (such as riverine landforms, erosion and aggradation which is significant in MORA streams), due to a loss of staff expertise from the USGS-BRD staff conducting the work, and human disturbance landcover issues such as the effects of roads, trails, and other anthropogenic developments due to lack of funds.
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Stream water temperatures have been identified as a primary mechanism driving reductions in fitness during winter. However, groundwater inputs can moderate water temperature and may reduce winter severity. Additionally, seasonal reductions in prey availability may contribute to decreased growth and survival, although few studies have examined food webs supporting salmonids under winter conditions. This study employed diet, stable isotope, and mark-recapture techniques to examine winter (November through March) feeding, growth, and condition of brown troutSalmo trutta in a groundwater-dominated stream (Badger Creek, Minnesota, USA). Growth was greater for fish ≤ 150 mm (mean = 4.1 mg g−1 day−1) than for those 151–276 mm (mean = 1.0 mg g−1 day−1) during the winter season. Overall condition from early winter to late winter did not vary for fish ≤150 mm (mean relative weight (Wr) = 89.5) and increased for those 151–276 mm (mean Wr = 85.8 early and 89.4 late). Although composition varied both temporally and by individual, brown trout diets were dominated by aquatic invertebrates, primarily Amphipods, Dipterans, and Trichopterans. Stable isotope analysis supported the observations of the dominant prey taxa in stomach contents and indicated the winter food web was supported by a combination of allochthonous inputs and aquatic macrophytes. Brown trout in Badger Creek likely benefited from the thermal regime and increased prey abundance present in this groundwater-dominated stream during winter.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02705060.2013.847868","usgsCitation":"French, W.E., Vondracek, B.C., Ferrington, L.C., Finlay, J.C., and Dieterman, D.J., 2014, Winter feeding, growth and condition of brown trout Salmo trutta in a groundwater-dominated stream: Journal of Freshwater Ecology, v. 29, no. 2, p. 187-200, https://doi.org/10.1080/02705060.2013.847868.","productDescription":"14 p.","startPage":"187","endPage":"200","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043406","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":487004,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2013.847868","text":"Publisher Index Page"},{"id":323822,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Badger Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.5589427947998,\n 43.73600333614323\n ],\n [\n -91.56477928161621,\n 43.73321257390393\n ],\n [\n -91.57087326049805,\n 43.731289973148016\n ],\n [\n -91.57233238220215,\n 43.727010414404404\n ],\n [\n -91.56821250915527,\n 43.71925681186759\n ],\n [\n -91.56400680541992,\n 43.69785166192964\n ],\n [\n -91.54924392700195,\n 43.6847566291653\n ],\n [\n -91.54778480529785,\n 43.68041167388636\n ],\n [\n -91.53533935546875,\n 43.69325941673532\n ],\n [\n -91.52933120727538,\n 43.70672486904217\n ],\n [\n -91.56057357788086,\n 43.7275066107992\n ],\n [\n -91.55362129211424,\n 43.73637542794859\n ],\n [\n -91.55396461486815,\n 43.737305647346446\n ],\n [\n -91.5589427947998,\n 43.73600333614323\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"29","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-10-23","publicationStatus":"PW","scienceBaseUri":"5763cdbbe4b07657d19ba7a2","contributors":{"authors":[{"text":"French, William E.","contributorId":97355,"corporation":false,"usgs":true,"family":"French","given":"William","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":639446,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vondracek, Bruce C. bcv@usgs.gov","contributorId":904,"corporation":false,"usgs":true,"family":"Vondracek","given":"Bruce","email":"bcv@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637176,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ferrington, Leonard C. Jr.","contributorId":172049,"corporation":false,"usgs":false,"family":"Ferrington","given":"Leonard","suffix":"Jr.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":639447,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Finlay, Jacques C.","contributorId":19695,"corporation":false,"usgs":true,"family":"Finlay","given":"Jacques","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":639448,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dieterman, Douglas J.","contributorId":147846,"corporation":false,"usgs":false,"family":"Dieterman","given":"Douglas","email":"","middleInitial":"J.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":639449,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70055517,"text":"70055517 - 2014 - Shale hydrocarbon reservoirs: Some influences of tectonics and paleogeography during deposition","interactions":[],"lastModifiedDate":"2022-12-12T17:40:09.690694","indexId":"70055517","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"2","title":"Shale hydrocarbon reservoirs: Some influences of tectonics and paleogeography during deposition","docAbstract":"Continuous hydrocarbon accumulations in shale reservoirs appear to be characterized by common paleotectonic and paleogeographic histories and are limited to specific intervals of geologic time. In addition, most North American self-sourced shale correlates with geologic time periods of calcitic seas and greenhouse conditions and with evolutionary turnover of marine metazoans. More knowledge about the relations among these controls on deposition is needed, but conceptual modeling suggests that integrating tectonic histories, paleogeographic reconstructions, and eustatic curves may be a useful means by which to better understand shale plays already in development stages and potentially identify new organic-carbon-rich shale targets suitable for continuous resource development.
\nUpwelling and anoxic waters are commonly cited to explain the accumulation and preservation, respectively, of marine organic carbon. In addition, and perhaps alternatively, the broad correlation of self-sourced shale with macroevolutionary trends in land plants and marine metazoans suggests that reduced consumption of organic matter by benthos during periods of high terrestrial and marine organic productivity was responsible.
\nFundamental to any of the processes that acted during deposition, however, was active tectonism. Basin type can often distinguish self-sourced shale plays from other types of hydrocarbon source rocks. The deposition of North American self-sourced shale was associated with the assembly and subsequent fragmentation of Pangea. Flooded foreland basins along collisional margins were the predominant depositional settings during the Paleozoic, whereas deposition in semirestricted basins was responsible along the rifted passive margin of the U.S. Gulf Coast during the Mesozoic. Tectonism during deposition of self-sourced shale, such as the Upper Jurassic Haynesville Formation, confined (re)cycling of organic materials to relatively closed systems, which promoted uncommonly thick accumulations of organic matter.
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