Single crystal (U‐Th)/He dating has been undertaken on 21 detrital zircon grains extracted from a core sample from Ocean Drilling Project (ODP) site 1073, which is located ~390 km northeast of the center of the Chesapeake Bay impact structure. Optical and electron imaging in combination with energy dispersive X‐ray microanalysis (EDS) of zircon grains from this late Eocene sediment shows clear evidence of shock metamorphism in some zircon grains, which suggests that these shocked zircon crystals are distal ejecta from the formation of the ~40 km diameter Chesapeake Bay impact structure. (U‐Th/He) dates for zircon crystals from this sediment range from 33.49 ± 0.94 to 305.1 ± 8.6 Ma (2σ), implying crystal‐to‐crystal variability in the degree of impact‐related resetting of (U‐Th)/He systematics and a range of different possible sources. The two youngest zircon grains yield an inverse‐variance weighted mean (U‐Th)/He age of 33.99 ± 0.71 Ma (2σ uncertainties n = 2; mean square weighted deviation = 2.6; probability [P] = 11%), which is interpreted to be the (U‐Th)/He age of formation of the Chesapeake Bay impact structure. This age is in agreement with K/Ar, 40Ar/39Ar, and fission track dates for tektites from the North American strewn field, which have been interpreted as associated with the Chesapeake Bay impact event.
","language":"English","publisher":"Wiley","doi":"10.1111/maps.13316","usgsCitation":"Biren, M., Wartho, J., Soest, V., Hodges, K., Cathey, H., Glass, B., Koeberl, C., Horton, J.W., and Hale, W., 2019, (U-Th)/He zircon dating of Chesapeake Bay distal impact ejecta from ODP site 1073: Meteoritics and Planetary Science, v. 54, no. 8, p. 1840-1852, https://doi.org/10.1111/maps.13316.","productDescription":"13 p.","startPage":"1840","endPage":"1852","ipdsId":"IP-101948","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":467400,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/maps.13316","text":"External Repository"},{"id":366099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.508544921875,\n 36.78289206199065\n ],\n [\n -74.827880859375,\n 36.78289206199065\n ],\n [\n -74.827880859375,\n 39.70718665682654\n ],\n [\n -77.508544921875,\n 39.70718665682654\n ],\n [\n -77.508544921875,\n 36.78289206199065\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"54","issue":"8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Biren, M.B.","contributorId":217742,"corporation":false,"usgs":false,"family":"Biren","given":"M.B.","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":767421,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wartho, J.-A.","contributorId":217743,"corporation":false,"usgs":false,"family":"Wartho","given":"J.-A.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":767422,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Soest, van","contributorId":217744,"corporation":false,"usgs":false,"family":"Soest","given":"van","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":767423,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hodges, K.V.","contributorId":217745,"corporation":false,"usgs":false,"family":"Hodges","given":"K.V.","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":767424,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cathey, H.","contributorId":217746,"corporation":false,"usgs":false,"family":"Cathey","given":"H.","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":767425,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Glass, B.P.","contributorId":217747,"corporation":false,"usgs":false,"family":"Glass","given":"B.P.","email":"","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":767426,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Koeberl, C.","contributorId":217748,"corporation":false,"usgs":false,"family":"Koeberl","given":"C.","affiliations":[{"id":39691,"text":"University of Vienna, Austria","active":true,"usgs":false}],"preferred":false,"id":767427,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Horton, J. Wright Jr. 0000-0001-6756-6365 whorton@usgs.gov","orcid":"https://orcid.org/0000-0001-6756-6365","contributorId":173694,"corporation":false,"usgs":true,"family":"Horton","given":"J.","suffix":"Jr.","email":"whorton@usgs.gov","middleInitial":"Wright","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":767420,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hale, W.","contributorId":217749,"corporation":false,"usgs":false,"family":"Hale","given":"W.","email":"","affiliations":[{"id":39692,"text":"IODP Core Repository, Bremen, Germany","active":true,"usgs":false}],"preferred":false,"id":767428,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70205918,"text":"70205918 - 2019 - High-Resolution mapping of biomass and distribution of marsh and forested wetlands in southeastern coastal Louisiana","interactions":[],"lastModifiedDate":"2019-10-10T07:22:23","indexId":"70205918","displayToPublicDate":"2019-08-01T07:21:21","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2027,"text":"International Journal of Applied Earth Observation and Geoinformation","active":true,"publicationSubtype":{"id":10}},"title":"High-Resolution mapping of biomass and distribution of marsh and forested wetlands in southeastern coastal Louisiana","docAbstract":"This study estimates herbaceous and forested wetland coverage and aboveground biomass (AGB) within the Atchafalaya and Terrebonne coastal basins representing sediment rich and sediment poor coastal regions of southern Louisiana. Louisiana coastal wetlands account for approximately one third (37%) of the estuarine wetland area in the conterminous United States, yet the spatial distribution of their extent and aboveground biomass estimates are not well defined. Despite the importance of Louisiana’s coastal wetlands, existing maps on their extent are often outdated yet repeatedly used in national greenhouse gas (GHG) inventories and within regional aboveground biomass and carbon content estimates. Sentinel-2 optical satellite data was used within an object-oriented machine learning approach to classify wetland extent, mapping the spatial distribution of the coastal wetlands at high-resolution. A total wetland extent of 2950 km2 was mapped during a period of peak biomass in September 2017, comprised of forested and herbaceous wetlands (accuracy >90%) and demonstrated considerable differences (793.7 km2) from currently available estimates of wetland area. The distribution of aboveground biomass (AGB) was mapped using class averaged values derived from field data collected during May and September 2015. Total herbaceous biomass at the study site increased by 108.9% from May (668,684.5 Mg) to September (1,396,969.2 Mg) whilst the total woody vegetation biomass (27,667,232.1 Mg) was sampled in May only. This method provides a tractable means of mapping wetland extent and biomass, in a region threatened with wetland loss under projections of increasing sea-level rise and local subsidence.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jag.2019.03.013","usgsCitation":"Nathan Thomas, Marc Simard, Castaneda-Moya, E., Byrd, K.B., Windham-Myers, L., Bevington, A., and Robert Twilley, 2019, High-Resolution mapping of biomass and distribution of marsh and forested wetlands in southeastern coastal Louisiana: International Journal of Applied Earth Observation and Geoinformation, v. 80, p. 257-267, https://doi.org/10.1016/j.jag.2019.03.013.","productDescription":"11 p.","startPage":"257","endPage":"267","ipdsId":"IP-106608","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":467401,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://research.edgehill.ac.uk/en/publications/6eb751c5-88f0-4db8-bac2-7a4c4c72320d","text":"Publisher Index Page"},{"id":368192,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.71337890625,\n 28.8831596093235\n ],\n [\n -88.83544921874999,\n 28.8831596093235\n ],\n [\n -88.83544921874999,\n 30.088107753367257\n ],\n [\n -93.71337890625,\n 30.088107753367257\n ],\n [\n -93.71337890625,\n 28.8831596093235\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"80","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nathan Thomas","contributorId":219689,"corporation":false,"usgs":false,"family":"Nathan Thomas","affiliations":[{"id":40052,"text":"NASA Goddard","active":true,"usgs":false}],"preferred":false,"id":772877,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marc Simard","contributorId":204127,"corporation":false,"usgs":false,"family":"Marc Simard","affiliations":[{"id":33580,"text":"NASA-JPL","active":true,"usgs":false}],"preferred":false,"id":772878,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Castaneda-Moya, Edward","contributorId":219690,"corporation":false,"usgs":false,"family":"Castaneda-Moya","given":"Edward","email":"","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":772879,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Byrd, Kristin B. 0000-0002-5725-7486 kbyrd@usgs.gov","orcid":"https://orcid.org/0000-0002-5725-7486","contributorId":3814,"corporation":false,"usgs":true,"family":"Byrd","given":"Kristin","email":"kbyrd@usgs.gov","middleInitial":"B.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":772876,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Windham-Myers, Lisamarie","contributorId":219691,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":772880,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bevington, Azure","contributorId":219692,"corporation":false,"usgs":false,"family":"Bevington","given":"Azure","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":772881,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Robert Twilley","contributorId":219693,"corporation":false,"usgs":false,"family":"Robert Twilley","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":772882,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70233214,"text":"70233214 - 2019 - Cross-scale interactions dictate regional lake carbon flux and productivity response to future climate","interactions":[],"lastModifiedDate":"2022-07-19T12:20:55.547259","indexId":"70233214","displayToPublicDate":"2019-08-01T07:16:12","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Cross-scale interactions dictate regional lake carbon flux and productivity response to future climate","docAbstract":"Lakes support globally important food webs through algal productivity and contribute significantly to the global carbon cycle. However, predictions of how broad-scale lake carbon flux and productivity may respond to future climate are extremely limited. Here, we used an integrated modeling framework to project changes in lake-specific and regional primary productivity and carbon fluxes under 21st century climate for thousands of lakes. We observed high uncertainty in whether lakes collectively were to increase or decrease lake CO2 emissions and carbon burial in our modeled region owing to divergence in projected regional water balance among climate models. Variation in projected air temperature influenced projected changes in lake primary productivity (but not CO2 emissions or carbon burial) as warmer air temperatures decreased productivity through reduced lake water volume. Cross-scale interactions between regional drivers and local characteristics dictated the magnitude and direction of lake-specific carbon flux and productivity responses to future climate.
Understanding the drivers and timescales over which groundwater quality changes informs groundwater management, use, and protection. To better understand timescales of water-quality change over short (daily to monthly) and long (seasonal to decadal) timescales, the U.S. Geological Survey’s National Water-Quality Assessment (NAWQA) Enhanced Trends Network (ETN) program instrumented and sampled three wells in the Edwards aquifer in south-central Texas. The wells were instrumented to provide high-frequency continuous (subhourly) water-quality data (temperature, pH, specific conductance, and dissolved oxygen), which were augmented by the collection of discrete samples (about 6 per year) for a range of geochemical constituents (including selected isotopes and age tracers). ETN data (2013–2017) are considered with data from additional sites for the same time period, and also historical records (over more than 80 years) of climatic and hydrologic conditions. During the four-year study, hydrologic conditions transitioned from very dry to very wet. Sites in the updip/unconfined part of the aquifer showed notable changes in water level and geochemistry (1) in response to rainfall/recharge events, and (2) over the multiyear dry/wet cycle. Sites in the downdip/confined part of the aquifer showed changes in water level/spring discharge over similar timescales, although the response is more muted. Geochemistry at the downdip/confined sites, however, varied slowly and minimally, indicating that the geochemical response of the deeper aquifer is decoupled from recent hydrologic responses. Changes at the updip/unconfined sites reflect mixing with recent recharge, whereas the downdip/confined sites were dominated by mineral-solution reactions resulting from longer (decadal) residence times. Mean groundwater ages interpreted from measured age tracers and lumped parameter models range from 7 to >700 years (where mixed with premodern downdip water) but were mostly modern. The aquifer is characterized by updip-to-downdip trends in geochemistry with respect to water-rock interaction and groundwater age. Fourier spectral analysis of historical records indicate hydrologic variability has occurred at dominant periods of 30 and 15 years; in conjunction with age tracers, these results provide insight into timescales at which the aquifer’s public supply is vulnerable to changes in the water quality of recharge.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.hydroa.2019.100041","usgsCitation":"Musgrove, M., Solder, J.E., Opsahl, S.P., and Wilson, J.T., 2019, Timescales of water-quality change in a karst aquifer, south-central Texas: Journal of Hydrology X, v. 4, 100041, 16 p., https://doi.org/10.1016/j.hydroa.2019.100041.","productDescription":"100041, 16 p.","ipdsId":"IP-105452 ","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":467403,"rank":4,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.hydroa.2019.100041","text":"Publisher Index Page"},{"id":437377,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9247J56","text":"USGS data release","linkHelpText":"Data for timescales of water-quality change in a karst aquifer, south-central 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\"}}]}","volume":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Musgrove, MaryLynn 0000-0003-1607-3864 mmusgrov@usgs.gov","orcid":"https://orcid.org/0000-0003-1607-3864","contributorId":197013,"corporation":false,"usgs":true,"family":"Musgrove","given":"MaryLynn","email":"mmusgrov@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":772054,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Solder, John E. 0000-0002-0660-3326 jsolder@usgs.gov","orcid":"https://orcid.org/0000-0002-0660-3326","contributorId":171916,"corporation":false,"usgs":true,"family":"Solder","given":"John","email":"jsolder@usgs.gov","middleInitial":"E.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772058,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Opsahl, Stephen P. 0000-0002-4774-0415 sopsahl@usgs.gov","orcid":"https://orcid.org/0000-0002-4774-0415","contributorId":4713,"corporation":false,"usgs":true,"family":"Opsahl","given":"Stephen","email":"sopsahl@usgs.gov","middleInitial":"P.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772056,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, Jennifer T. 0000-0003-4481-6354 jenwilso@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-6354","contributorId":1782,"corporation":false,"usgs":true,"family":"Wilson","given":"Jennifer","email":"jenwilso@usgs.gov","middleInitial":"T.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772057,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70205232,"text":"70205232 - 2019 - Semantically supported linked data mapping","interactions":[],"lastModifiedDate":"2019-11-05T06:50:25","indexId":"70205232","displayToPublicDate":"2019-07-31T14:24:42","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Semantically supported linked data mapping","docAbstract":"Semantic technology based on the Resource Description Framework (RDF) modeling environment has introduced new data management capabilities that can lead to innovative cartographic techniques. This report describes research toward more semantically expressive linked geospatial data mapping, topics of research, and an avenue for further international collaboration.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2019 US national report (US National Committee for the International Cartographic Association)","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"International Cartography Association","usgsCitation":"Varanka, D.E., 2019, Semantically supported linked data mapping, 4 p.","productDescription":"4 p.","ipdsId":"IP-108631","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":368839,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368946,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://cartogis.org/usnc-ica/us-national-report/"}],"publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Varanka, Dalia E. 0000-0003-2857-9600 dvaranka@usgs.gov","orcid":"https://orcid.org/0000-0003-2857-9600","contributorId":1296,"corporation":false,"usgs":true,"family":"Varanka","given":"Dalia","email":"dvaranka@usgs.gov","middleInitial":"E.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true},{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"preferred":true,"id":774378,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70204412,"text":"sir20195042 - 2019 - Lithostratigraphic, geophysical, and hydrogeologic observations from a boring drilled to bedrock in glacial sediments near Nantucket Sound in East Falmouth, Massachusetts","interactions":[],"lastModifiedDate":"2019-08-01T07:11:08","indexId":"sir20195042","displayToPublicDate":"2019-07-31T14:15:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5042","displayTitle":"Lithostratigraphic, Geophysical, and Hydrogeologic Observations From a Boring Drilled to Bedrock in Glacial Sediments Near Nantucket Sound in East Falmouth, Massachusetts","title":"Lithostratigraphic, geophysical, and hydrogeologic observations from a boring drilled to bedrock in glacial sediments near Nantucket Sound in East Falmouth, Massachusetts","docAbstract":"In spring 2016, a 310-foot-deep boring (named MA–FSW 750) was drilled by the U.S. Geological Survey near Nantucket Sound in East Falmouth, Massachusetts, to investigate the hydrogeology of the southern coast of western Cape Cod. Few borings that are drilled to bedrock exist in the area, and the study area was selected to fill a gap between comprehensive geologic datasets inland to the north and marine geophysical data from beneath Nantucket Sound to the south. A permanent monitoring well (MA–FSW 750–0100) was installed in the boring upon the completion of the drilling and core collection. Observations from sediment cores and surface and borehole geophysical measurements were used to delineate three zones relevant to understanding groundwater flow at the study location. Shallow sands and gravels (0–107 feet [ft] below land surface [bls]) underlain by silt-rich fine and very fine sand (107–175 ft bls) form a zone of high permeability underlain by a zone of relatively lower permeability, referred to as the “shallow high-permeability” and “low-permeability” zones, respectively. A sharp lithological contact separating the shallow high-permeability and low-permeability zones may affect vertical flow of groundwater. Fine to coarse sand with intervals of clay and silt from 175 to 300 ft bls represent a deep zone of relatively high permeability, referred to as the “deep high-permeability” zone. A compacted, nonsorted unit (identified as basal till) and the bedrock surface were encountered at 300 and 305 ft bls, respectively. Hydraulic conductivity estimates from nuclear magnetic resonance logs and sediment grain-size distribution analyses indicated that the shallow high-permeability zone contributes substantially to the capacity of the aquifer to transmit groundwater at the study location. Results from geophysical surveys indicate a gradual transition from fresh to saline groundwater in the interval from 105 to 160 ft bls. Freshwater at the study site is present in the saturated unconsolidated sediments only in the 75 ft between 30 ft (the water table) and 105 ft bls in the shallow high-permeability zone. Sediments shallower than 175 ft bls closely resemble the downward fining post-Wisconsinan age deltaic and lacustrine deposits present in many parts of western Cape Cod; sediments deeper than 175 ft appear to be the product of earlier depositional processes more local to the southern coast of western Cape Cod. This study highlights how high-resolution observations of cored material coupled with a multitool geophysical approach can characterize a single boring to help better understand regional glacial history and hydrogeology.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195042","collaboration":"Prepared in cooperation with the Cape Cod Commission","usgsCitation":"Hull, R.B, Johnson, C.D., Stone, B.D., LeBlanc, D.R., McCobb, T.D., Phillips, S.N., Pappas, K.L., and Lane, J.W., 2019, Lithostratigraphic, geophysical, and hydrogeologic observations from a boring drilled to bedrock in glacial sediments near Nantucket sound in East Falmouth, Massachusetts: U.S. Geological Survey Scientific Investigations Report 2019–5042, 27 p., https://doi.org/10.3133/sir20195042.","productDescription":"Report: 27 p.; Data Releases","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-088627","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":365906,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7P26X0Z ","text":"USGS data release","description":"USGS data release","linkHelpText":"Geophysical data"},{"id":365905,"rank":3,"type":{"id":30,"text":"Data Release"},"url":" https://doi.org/10.5066/F7W66JPM","text":"USGS data release","description":"USGS data release","linkHelpText":"Lithostratigraphic and hydraulic data"},{"id":437379,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7W66JPM","text":"USGS data release","linkHelpText":"Lithostratigrapic, Geophysical, and Hydrogeologic Observations from a Deep Boring in Glacial Sediments on Davis Neck near Nantucket Sound, East Falmouth, Western Cape Cod, Massachusetts"},{"id":365822,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5042/coverthb.jpg"},{"id":365823,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5042/sir20195042.pdf","text":"Report","size":"3.40 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5042"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Nantucket Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.69290161132811,\n 41.22824901518529\n ],\n [\n -69.90875244140625,\n 41.22824901518529\n ],\n [\n -69.90875244140625,\n 41.60312076451184\n ],\n [\n -70.69290161132811,\n 41.60312076451184\n ],\n [\n -70.69290161132811,\n 41.22824901518529\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New England Water Science Center
U.S. Geological Survey
331 Commerce Road, Suite 2
Pembroke, NH 03275
The topography of Puerto Rico and the U.S. Virgin Islands (USVI) is characterized by steep terrain and short distances to the sea. This means that freshwater runs off the islands quickly, coming into contact with seawater in coastal estuaries. The physical characteristics of estuaries change as the tides rise and fall, creating a wide range of habitats that support diverse plants and wildlife, including economically and culturally important native species such as cetí and land crabs, as well as game fishes such as snook and tarpon. These ecosystems are already heavily threatened by human activities such as urbanization, increased sedimentation, and pollution. Changing climate conditions, such as more frequent and severe drought, pose an additional stressor. Because rivers in Puerto Rico and temporary streams (known locally as “ghuts”) in the USVI feed the coastal estuaries of the U.S. Caribbean, changes to streamflow can impact estuaries and the wildlife they support. For example, during prolonged periods of low flow, withdrawals from the Espiritu Santo River, which feeds into the Espiritu Santo estuary in northeast Puerto Rico, can reach 100% of instream flow and the river can run dry (Benstead et al., 1999). This reduction in the amount of freshwater entering the estuary can increase salinity levels, altering habitat conditions and leading to declines in the richness and abundance of freshwater species (Smith et al., 2008).
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"U.S. Caribbean drought workshop","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"U.S. Caribbean Drought Workshop","conferenceDate":"May 30-31, 2018","conferenceLocation":"Rio Piedras, PR","language":"English","publisher":"U.S. Geological Survey","usgsCitation":"Murry, B., Garcia-Bermudez, M., Crausbay, S., and Malpeli, K., 2019, Drought in the U.S. Caribbean:Impacts to Coastal Estuary Ecosystems, in U.S. Caribbean drought workshop, Rio Piedras, PR, May 30-31, 2018, 2 p.","productDescription":"2 p.","ipdsId":"IP-110656","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"links":[{"id":367394,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":367393,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.usgs.gov/ecosystems/climate-adaptation-science-centers/drought-impacts-coastal-estuary-ecosystems-us"}],"country":"United States","state":"Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.24731445312499,\n 17.84283252904802\n ],\n [\n -65.577392578125,\n 17.84283252904802\n ],\n [\n -65.577392578125,\n 18.531700307384043\n ],\n [\n -67.24731445312499,\n 18.531700307384043\n ],\n [\n -67.24731445312499,\n 17.84283252904802\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Murry, Brent","contributorId":217756,"corporation":false,"usgs":false,"family":"Murry","given":"Brent","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":767449,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garcia-Bermudez, Miguel","contributorId":217757,"corporation":false,"usgs":false,"family":"Garcia-Bermudez","given":"Miguel","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":767450,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crausbay, Shelley","contributorId":217758,"corporation":false,"usgs":false,"family":"Crausbay","given":"Shelley","affiliations":[{"id":13470,"text":"Conservation Science Partners","active":true,"usgs":false}],"preferred":false,"id":767451,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Malpeli, Kate 0000-0003-0780-918X","orcid":"https://orcid.org/0000-0003-0780-918X","contributorId":217755,"corporation":false,"usgs":true,"family":"Malpeli","given":"Kate","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":767448,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70227899,"text":"70227899 - 2019 - Occurrence, Abundance, and Associations of Topeka Shiners (Notropis topeka) in Restored and Unrestored Oxbows in Iowa and Minnesota, USA","interactions":[],"lastModifiedDate":"2022-02-03T12:00:01.602579","indexId":"70227899","displayToPublicDate":"2019-07-31T12:58:10","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":862,"text":"Aquatic Conservation: Marine and Freshwater Ecosystems","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Occurrence, Abundance, and Associations of Topeka Shiners (Notropis topeka) in Restored and Unrestored Oxbows in Iowa and Minnesota, USA","title":"Occurrence, Abundance, and Associations of Topeka Shiners (Notropis topeka) in Restored and Unrestored Oxbows in Iowa and Minnesota, USA","docAbstract":"Pallid Sturgeon Scaphirhynchus albus are endemic to the Missouri and Mississippi river basins and are rare throughout their range. The species was listed as federally endangered with little to no evidence of natural recruitment. Since population augmentation was initiated as a recovery objective in the early 1990s, thousands of hatchery-origin Pallid Sturgeon have been stocked in the lower Missouri River (Gavins Point Dam [river kilometer 1,305.1] to the confluence of the Mississippi River [river kilometer 0.0]). Efforts to discriminate natural reproduction and recruitment of wild-origin Pallid Sturgeon from hatchery-origin fish has been hampered by tag loss in hatchery-origin sturgeon, inconsistent documentation of hatchery parental crosses, and the failure to collect tissue samples for genotyping all broodstock. However, the recent reconstruction of missing parental genotypes from known hatchery-origin progeny and from cryopreserved milt made it possible to examine Pallid Sturgeon recruitment. Therefore, our objectives were to 1) determine the likelihood that unmarked Pallid Sturgeon captured from the lower Missouri River were the result of natural recruitment and 2) examine the length distribution of wild- and hatchery-origin fish to determine if a difference exists by origin and examine the life-stage distribution. Genetic analysis showed that from 2003 to 2015, 358 “presumptive wild-origin” Pallid Sturgeon were captured in the lower Missouri River and the comparison between the length distributions of wild- and hatchery-origin fish did not provide any additional clarification into potential wild-origin fish. Low recruitment may be due to a small breeding population, high mortality of early life stages, hybridization with Shovelnose Sturgeon Scaphirhynchus platorynchus, or transport of drifting free embryos or larvae into inhospitable habitats. Determining what factors are limiting recruitment is the important next step for the recovery of Pallid Sturgeon in the lower Missouri River.
","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/022018-JFWM-013","usgsCitation":"Steffensen, K.D., Chojnacki, K., Kalie, J.A., Bartron, M.L., Heist, E.J., Winders, K.R., Loecker, N.C., Doyle, W.J., and Welker, T.L., 2019, Evidence of limited recruitment of Pallid Sturgeon in the Lower Missouri River: Journal of Fish and Wildlife Management, v. 10, no. 2, p. 336-34, https://doi.org/10.3996/022018-JFWM-013.","productDescription":"10 p.","startPage":"336","endPage":"34","ipdsId":"IP-088692","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":467404,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/022018-jfwm-013","text":"Publisher Index Page"},{"id":370112,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Kansas, Missouri, Nebraska, South Dakota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -102.26074218749999,\n 37.71859032558816\n ],\n [\n -89.5166015625,\n 37.71859032558816\n ],\n [\n -89.5166015625,\n 45.61403741135093\n ],\n [\n -102.26074218749999,\n 45.61403741135093\n ],\n [\n -102.26074218749999,\n 37.71859032558816\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Steffensen, Kirk D.","contributorId":196924,"corporation":false,"usgs":false,"family":"Steffensen","given":"Kirk","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":776952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chojnacki, Kimberly 0000-0001-6091-3977 kchojnacki@usgs.gov","orcid":"https://orcid.org/0000-0001-6091-3977","contributorId":221080,"corporation":false,"usgs":true,"family":"Chojnacki","given":"Kimberly","email":"kchojnacki@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":776951,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kalie, Jeffery A.","contributorId":221081,"corporation":false,"usgs":false,"family":"Kalie","given":"Jeffery","email":"","middleInitial":"A.","affiliations":[{"id":40316,"text":"U.S. Fish and Wildlife Service, Northeast Fishery Center Conservation Genetics Lab","active":true,"usgs":false}],"preferred":false,"id":776953,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bartron, Meredith L.","contributorId":149109,"corporation":false,"usgs":false,"family":"Bartron","given":"Meredith","email":"","middleInitial":"L.","affiliations":[{"id":26874,"text":"USFWS, Lamar, PA","active":true,"usgs":false},{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":776954,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heist, Edward J.","contributorId":221082,"corporation":false,"usgs":false,"family":"Heist","given":"Edward","email":"","middleInitial":"J.","affiliations":[{"id":40317,"text":"Southern Illinois University, Fisheries and Illinois Aquaculture Center","active":true,"usgs":false}],"preferred":false,"id":776955,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Winders, Kyle R.","contributorId":221083,"corporation":false,"usgs":false,"family":"Winders","given":"Kyle","email":"","middleInitial":"R.","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":776956,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Loecker, Nathan C.","contributorId":221084,"corporation":false,"usgs":false,"family":"Loecker","given":"Nathan","email":"","middleInitial":"C.","affiliations":[{"id":37104,"text":"South Dakota Department of Game, Fish and Parks","active":true,"usgs":false}],"preferred":false,"id":776957,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Doyle, Wyatt J.","contributorId":221085,"corporation":false,"usgs":false,"family":"Doyle","given":"Wyatt","email":"","middleInitial":"J.","affiliations":[{"id":40318,"text":"U.S. Fish and Wildlife Service, Columbia Fish and Wildlife Conservation Office","active":true,"usgs":false}],"preferred":false,"id":776958,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Welker, Timothy L.","contributorId":140976,"corporation":false,"usgs":false,"family":"Welker","given":"Timothy","email":"","middleInitial":"L.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":776959,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70203750,"text":"sir20195052 - 2019 - Hydrogeologic framework and delineation of transient areas contributing recharge and zones of contribution to selected wells in the upper Santa Fe Group aquifer, southeastern Albuquerque, New Mexico, 1900–2050","interactions":[],"lastModifiedDate":"2019-08-01T07:18:46","indexId":"sir20195052","displayToPublicDate":"2019-07-31T11:28:41","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5052","displayTitle":"Hydrogeologic Framework and Delineation of Transient Areas Contributing Recharge and Zones of Contribution to Selected Wells in the Upper Santa Fe Group Aquifer, Southeastern Albuquerque, New Mexico, 1900–2050","title":"Hydrogeologic framework and delineation of transient areas contributing recharge and zones of contribution to selected wells in the upper Santa Fe Group aquifer, southeastern Albuquerque, New Mexico, 1900–2050","docAbstract":"The Santa Fe Group aquifer is an important source of water to communities within the Middle Rio Grande Basin, including the Albuquerque-Rio Rancho metropolitan area and Kirtland Air Force Base, New Mexico. In November 1999, Kirtland Air Force Base personnel observed fuel-stained soils at the Bulk Fuels Facility on the base. Subsequent pressure tests identified pipeline leaks. Fuels stored at the Bulk Fuels Facility have included aviation gasoline, jet propellant 4, and jet propellant 8. The fuels migrated about 480 feet down to the water table. Ethylene dibromide, the constituent making up the most extensive part of the plume and a component of leaded aviation gasoline, has formed a plume that, in December 2016, was 400 to 1,300 feet wide, extended about 5,800 feet northeast from the Bulk Fuels Facility, and was about 3,700 feet from the nearest downgradient water-supply well.
Prior to widespread development of groundwater resources in southeastern Albuquerque, groundwater near the present-day location of the Bulk Fuels Facility flowed to the southwest. Groundwater began flowing northeast in about 1980 towards a large area of lowered water levels caused by groundwater pumping.
In 2013 and 2014 the Albuquerque Bernalillo County Water Utility Authority, the U.S. Air Force, and the U.S. Geological Survey began a cooperative study to characterize the geology and hydrology of the Santa Fe Group aquifer in the vicinity of the ethylene dibromide plume and to develop a local-scale groundwater flow model to delineate areas contributing recharge and zones of contribution to selected water-supply wells.
For this study, a previously developed Middle Rio Grande Basin regional groundwater-flow model was updated, and a smaller local-scale model was developed. Advective groundwater-flow paths were delineated and visualized with the MODPATH particle-tracking program.
Of 11 wells included in the historical pumping analysis of areas contributing recharge, only wells K-3, K-7, and RC-4 derived a portion of their water from simulated recharge sources within the local-scale model. None of the areas contributing recharge overlap the Bulk Fuels Facility area or the ethylene dibromide plume footprint as delineated using December 2016 ethylene dibromide data.
For the historical pumping analysis of zones of contribution, particles for the 11 selected wells generally moved southwest from the north and east boundaries of the local-scale model, moved past their target well, but reversed direction and moved back towards their target well after 1980 when groundwater flow changed to the northeast. Of the 11 wells, only BR-5, RC-5, and VH-2 had 1980–2013 particle pathlines that overlap the December 2016 ethylene dibromide plume footprint, and wells BR-5 and VH-2 have 1980–2013 particle pathlines that overlap the Bulk Fuels Facility area. Particles that were north of the Bulk Fuels Facility when groundwater flow reversed direction would not have the opportunity to interact with the ethylene dibromide plume. Wells BR-5, K-15, and VH-2 did have particles southwest of the Bulk Fuels Facility in 1980. Particles traveling to BR-5 and K-15 passed under or very near the Bulk Fuels Facility area in the 1980–2013 period, but none of the pathlines were shallow enough to interact with ethylene dibromide at the Bulk Fuels Facility. A few particles traveling to VH-2 passed through the Bulk Fuels Facility area at shallow enough depths to interact with ethylene dibromide at the Bulk Fuels Facility in the 1980–2013 period. Ethylene dibromide has not been detected in water samples collected in 2012 through 2015 from the VH-2 well.
Of 10 water-supply wells near the ethylene dibromide plume included in the future pumping analysis of areas contributing recharge, only wells K-3, RC-3, and RC-4 had areas contributing recharge within the local-scale model. The areas contributing recharge for wells RC-3 and RC-4 do not overlap the Bulk Fuels Facility area or the December 2016 ethylene dibromide plume footprint, but K-3 derives part of its recharge prior to 1980 and during 1980–2015 from within the area of the December 2016 plume footprint.
The analysis of the future pumping scenarios indicated that wells BR-5, K-3, K-16, RC-5, and VH-2 have pathlines for 1980–2015 and wells K-16 and VH-2 have pathlines for 2015–50 that when projected in plan view pass through the December 2016 plume footprint. Of these five wells, only K-3 and RC-5 have pathlines for 1980–2015 that are above an elevation of 4,800 feet and could interact with the ethylene dibromide plume if ethylene dibromide was present when the particles were present.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195052","collaboration":"Prepared in cooperation with the Albuquerque Bernalillo County Water Utility Authority and the U.S. Air Force","usgsCitation":"Myers, N.C., and Friesz, P.J., 2019, Hydrogeologic framework and delineation of transient areas contributing recharge and zones of contribution to selected wells in the upper Santa Fe Group aquifer, southeastern Albuquerque, New Mexico, 1900–2050: U.S. Geological Survey Scientific Investigations Report 2019–5052, 73 p., https://doi.org/10.3133/sir20195052.","productDescription":"Report: viii, 73 p.; Data Release","numberOfPages":"86","onlineOnly":"Y","ipdsId":"IP-080008","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":365539,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5052/sir20195052.pdf","text":"Report","size":"38.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5052"},{"id":365538,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5052/coverthb.jpg"},{"id":365540,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F79P303S","text":"USGS data release ","description":"USGS Data Release","linkHelpText":"MODFLOW–LGR2 groundwater-flow model used to delineate transient areas contributing recharge and zones of contribution to selected wells in the upper Santa Fe Group aquifer, southeastern Albuquerque, New Mexico"}],"country":"United States","state":"New Mexico","county":"Bernalillo County","city":"Albuquerque","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-106.242,35.2147],[-106.2387,35.0549],[-106.2386,35.0408],[-106.2373,34.9568],[-106.1453,34.9547],[-106.1446,34.872],[-106.3328,34.8712],[-106.3569,34.8702],[-106.409,34.8687],[-106.4097,34.8914],[-106.417,34.8945],[-106.4221,34.9013],[-106.6755,34.9065],[-106.6838,34.9006],[-106.6917,34.901],[-106.6922,34.896],[-106.7139,34.8772],[-106.7127,34.8713],[-107.0181,34.8727],[-107.0227,34.8817],[-107.0641,34.9618],[-107.104,35.0395],[-107.1068,35.0454],[-107.1769,35.1809],[-107.1972,35.2197],[-107.1628,35.2192],[-107.1623,35.2192],[-107.1578,35.2192],[-107.1262,35.2186],[-107.1105,35.2188],[-107.0936,35.2189],[-107.0801,35.2186],[-107.0761,35.2186],[-107.0345,35.2185],[-106.9416,35.217],[-106.9337,35.2171],[-106.8808,35.2171],[-106.8622,35.2172],[-106.5955,35.2184],[-106.5645,35.2186],[-106.4964,35.2184],[-106.479,35.2176],[-106.4531,35.2172],[-106.3822,35.2175],[-106.3765,35.2175],[-106.242,35.2147]]]},\"properties\":{\"name\":\"Bernalillo\",\"state\":\"NM\"}}]}","contact":"Director, New Mexico Water Science Center
U.S. Geological Survey
6700 Edith Blvd. NE, Suite B
Albuquerque, NM 87113
Improved understanding of the origin of produced volatiles from conventional reservoirs and unconventional source rocks is critical for petroleum exploration and production. A series of hydrous heating experiments using two immature Type II siliciclastic source rocks, Pennsylvanian Turner Mine shale (TMS) and Devonian New Albany Shale (NAS), at 130 °C over one to two years were conducted to assess gas generation at low temperature. Elemental sulfur (ES) was added to the NAS samples to evaluate the role of sulfur on thermochemical sulfate reduction (TSR). The produced volatile composition was investigated in situ using Raman spectroscopy at the end of the heating experiments. Results show that the two source rocks yield different types and concentrations of volatiles. Only CH4 and CO2 were detected following hydrous heating of the TMS source rock in contrast to CH4, C2H6, C3H8, and CO2 which were observed in experiments using NAS. Variations in the produced volatiles are likely the result of compositional differences within the respective source rock organic matter. Experiments involving ES show strong H2S signals that are likely due to the formation of H2S from the reaction of ES with water at 130 °C. H2S signals correlate with a greater relative concentration of CH4 and CO2 compared to experiments where ES was not added, on a time-normalized basis. The correlation between the presence of H2S and an increase in CH4 and CO2 concentration could indicate the occurrence of TSR. Here we propose that H2S in siliciclastic shale can be generated in the presence of ES at low temperatures via both disproportionation of ES into H2S and SO42–, and TSR. Our findings from this study provide experimental evidence that may aid efforts to interpret the origin of H2S in low-temperature sedimentary basins.
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\"}}]}","volume":"137","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Alrowaie, M.A.","contributorId":217903,"corporation":false,"usgs":false,"family":"Alrowaie","given":"M.A.","email":"","affiliations":[{"id":37145,"text":"Indiana University","active":true,"usgs":false}],"preferred":false,"id":767776,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jubb, Aaron M. 0000-0001-6875-1079","orcid":"https://orcid.org/0000-0001-6875-1079","contributorId":201978,"corporation":false,"usgs":true,"family":"Jubb","given":"Aaron M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":767775,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schimmelmann, A.","contributorId":217904,"corporation":false,"usgs":false,"family":"Schimmelmann","given":"A.","affiliations":[{"id":37145,"text":"Indiana University","active":true,"usgs":false}],"preferred":false,"id":767777,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mastalerz, M.","contributorId":217905,"corporation":false,"usgs":false,"family":"Mastalerz","given":"M.","affiliations":[{"id":33640,"text":"Indiana Geological Survey","active":true,"usgs":false}],"preferred":false,"id":767778,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pratt, L.M.","contributorId":217906,"corporation":false,"usgs":false,"family":"Pratt","given":"L.M.","email":"","affiliations":[{"id":37145,"text":"Indiana University","active":true,"usgs":false}],"preferred":false,"id":767779,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70215401,"text":"70215401 - 2019 - Preface—Evaluating the response of critical zone processes to human impacts with sediment source fingerprinting","interactions":[],"lastModifiedDate":"2020-10-18T15:04:05.341997","indexId":"70215401","displayToPublicDate":"2019-07-31T09:58:39","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2457,"text":"Journal of Soils and Sediments","active":true,"publicationSubtype":{"id":10}},"title":"Preface—Evaluating the response of critical zone processes to human impacts with sediment source fingerprinting","docAbstract":"1) Background: Critical Zone Processes in the Anthropocene\n\nThe Earth’s Critical Zone encompasses a suite of interconnected processes in the near-surface lithosphere, pedosphere, biosphere, atmosphere, and hydrosphere (Brantley et al., 2007; Lin, 2010) (Fig. 1). Processes and interactions both within and between these various Critical Zone components supports life-sustaining ecosystem services and resources that establish the foundation for humanity (NRC, 2001). This includes the formation production of fertile soils, flourishing vegetation, productive rivers, lakes and oceans, and our life-sustaining atmosphere (Gaillardet, 2014; Guo and Lin, 2016).\n\nRapid population growth, land use intensification, and global environmental change are disturbing many of these fundamental Critical Zone processes. More than half of the Earth’s terrestrial surface is now impacted by anthropogenic activities (e.g., clearing, grazing, plowing, mining, and logging) (Hooke et al., 2012; Richter and Mobley, 2009). These changes are so widespread and pervasive that the great acceleration of socioeconomic development that occurred around 1950 (Fig. 2) has been recommended to delineate the dawn of the Anthropocene (Waters et al., 2016). Although the utility of adopting and delineating the Anthropocene as the current epoch is subject to debate (Crutzen, 2002; Ruddiman et al., 2015; Smith and Zeder, 2013), the concept effectively highlights both the nature and the extent of our global impact on Earth’s Critical Zone. \n\nSoil forming processes and ecosystem services provided by the pedosphere are central to the Critical Zone (Banwart et al., 2011; Lin, 2010). Many of these processes have been disturbed by the agricultural intensification that coincided with the great acceleration resulting in unsustainable land use practices now outpacing soil formation processes (Brantley et al., 2007). As agricultural landscapes now cover an area equivalent to what was scoured during the last glacial maximum (Amundson et al., 2007), the broad-scale intensification of anthropogenic activities has resulted in significant on- and off-site impacts. On-site, soil loss has resulted in decreases in soil fertility and agricultural yields (Ladha et al., 2009) threatening the ability to feed the world’s growing population (Brantley et al., 2007). Off-site, the excess delivery of particulate matter downstream is degrading riverine, lacustrine, and estuarine ecosystems (Bilotta and Brazier, 2008; Clark, 1985; Owens et al., 2005).\nThe challenge, as noted by Brantley et al., (2007), is that despite our society having over 10,000 years of experience working with soils, our conceptual and quantitative models remain inadequate at predicting Critical Zone dynamics under current conditions. Notwithstanding growing pressure for improved environmental management, we still have a limited capacity to predict changes in the Critical Zone in response to anthropogenic activities owing to the multiple spatial and temporal scales at which these complex processes and feedbacks are manifest. As river basin systems are impacted by many of these processes, a deep understanding of soil-sediment continuum dynamics may provide a valuable framework for evaluating the disturbance response of Critical Zone processes. Understanding these processes may also provide land and resource managers with the information necessary to manage both the on-site and off-site effects of accelerated soil erosion.","language":"English","publisher":"Springer","doi":"10.1007/s11368-019-02409-0","usgsCitation":"Laceby, J.P., Gellis, A.C., Koiter, A.J., Blake, W.H., and Evrard, O., 2019, Preface—Evaluating the response of critical zone processes to human impacts with sediment source fingerprinting: Journal of Soils and Sediments, v. 19, p. 3245-3254, https://doi.org/10.1007/s11368-019-02409-0.","productDescription":"10 p.","startPage":"3245","endPage":"3254","ipdsId":"IP-109272","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":467405,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11368-019-02409-0","text":"Publisher Index Page"},{"id":379500,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","noUsgsAuthors":false,"publicationDate":"2019-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Laceby, J. Patrick","contributorId":243321,"corporation":false,"usgs":false,"family":"Laceby","given":"J.","email":"","middleInitial":"Patrick","affiliations":[{"id":48685,"text":"Environmental Monitoring and Science Division, Alberta Environment and Parks, 3115 – 12 Street NE Calgary, Alberta, Canada","active":true,"usgs":false}],"preferred":false,"id":802032,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gellis, Allen C. 0000-0002-3449-2889 agellis@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-2889","contributorId":197684,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen","email":"agellis@usgs.gov","middleInitial":"C.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":802037,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koiter, Alexander J.","contributorId":243322,"corporation":false,"usgs":false,"family":"Koiter","given":"Alexander","email":"","middleInitial":"J.","affiliations":[{"id":48686,"text":"Department of Geography and Environment, Brandon University, 270 18th St, Brandon, MB R7A 6A9, Canada","active":true,"usgs":false}],"preferred":false,"id":802038,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blake, Will H.","contributorId":243323,"corporation":false,"usgs":false,"family":"Blake","given":"Will","email":"","middleInitial":"H.","affiliations":[{"id":48687,"text":"School of Geography, Earth and Environmental Sciences, Plymouth University, Plymouth, PL4 8AA, UK","active":true,"usgs":false}],"preferred":false,"id":802039,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Evrard, Olivier","contributorId":243324,"corporation":false,"usgs":false,"family":"Evrard","given":"Olivier","email":"","affiliations":[{"id":48688,"text":"Laboratoire des Sciences du Climat et de l’Environnement, LSCE/IPSL, UMR 8212 (CEA-CNRS-UVSQ), Université Paris-Saclay, F-91191Gif-sur-Yvette Cedex, France","active":true,"usgs":false}],"preferred":false,"id":802040,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70200916,"text":"70200916 - 2019 - Right-lateral fault motion along the slope-basin transition, Gulf of Santa Catalina, southern California","interactions":[],"lastModifiedDate":"2019-12-05T09:44:43","indexId":"70200916","displayToPublicDate":"2019-07-31T09:43:45","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Right-lateral fault motion along the slope-basin transition, Gulf of Santa Catalina, southern California","docAbstract":"An active fault system carrying a significant component of right-lateral strike-slip motion extends for ~60 km along the slope–basin transition, ~10 to 20 km offshore of the southern California coast from La Jolla to Dana Point. From south to north, this fault system includes the Carlsbad, San Onofre, and San Mateo fault zones. High-resolution single channel minisparker and chirp seismic reflection data gathered from 2006 to 2011 reveal complex and variable fault zones that are generally characterized by nearly vertical to steeply east-dipping faults with a reverse slip component. The Carlsbad fault zone shows evidence of reverse motion followed by normal separation and probably also includes a component of strike-slip offset. The San Onofre fault zone shows clear evidence of right-lateral slip, offsetting submarine gullies near the base of the slope by approximately 60 m. North of these offset gullies, the base of the slope bends about 30° to the west, following the trend of the San Mateo fault zone, but strands of the San Onofre fault zone trend obliquely up slope, appearing to merge with the Newport–Inglewood fault zone at the shelf edge. These San Onofre fault strands consist of several en echelon left-stepping segments separated by “pop-up” structures, which imply a significant component of right-lateral offset that may serve to transfer right-lateral slip from faults along the base of the slope to the Newport–Inglewood fault zone. Using approximate base Quaternary and base Holocene reflections, segments of the Carlsbad and San Onofre fault zones appear to have experienced right-lateral motion in the Holocene, whereas deformation along the San Mateo fault zone appears to represent a period of mostly pre-Quaternary transpression.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"From the Mountains to the Abyss: The California Borderland as an Archive of Southern California Geologic Evolution","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Society for Sedimentary Geology","usgsCitation":"Conrad, J., Brothers, D., Coble, K., Holly F. Ryan, Dartnell, P., and Sliter, R., 2019, Right-lateral fault motion along the slope-basin transition, Gulf of Santa Catalina, southern California, chap. of From the Mountains to the Abyss: The California Borderland as an Archive of Southern California Geologic Evolution, v. 110, 17 p.","productDescription":"17 p.","ipdsId":"IP-093176","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":369969,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":359434,"type":{"id":15,"text":"Index Page"},"url":"https://sedimentary-geology-store.com/catalog/book/mountains-abyss-california-borderland-archive-southern-california-geologic-evolution"}],"country":"United States","state":"California","otherGeospatial":"Gulf of Santa Catalina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.79791259765625,\n 32.55144352864431\n ],\n [\n -117.04010009765625,\n 32.55144352864431\n ],\n [\n -117.04010009765625,\n 33.46810795527896\n ],\n [\n -118.79791259765625,\n 33.46810795527896\n ],\n [\n -118.79791259765625,\n 32.55144352864431\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"110","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Cochran, Susan 0000-0002-2442-8787 scochran@usgs.gov","orcid":"https://orcid.org/0000-0002-2442-8787","contributorId":210619,"corporation":false,"usgs":true,"family":"Cochran","given":"Susan","email":"scochran@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":751276,"contributorType":{"id":2,"text":"Editors"},"rank":7}],"authors":[{"text":"Conrad, James 0000-0001-6655-694X jconrad@usgs.gov","orcid":"https://orcid.org/0000-0001-6655-694X","contributorId":210620,"corporation":false,"usgs":true,"family":"Conrad","given":"James","email":"jconrad@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":751270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brothers, Daniel","contributorId":210621,"corporation":false,"usgs":true,"family":"Brothers","given":"Daniel","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":751271,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coble, Katherine","contributorId":210622,"corporation":false,"usgs":true,"family":"Coble","given":"Katherine","email":"","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":751272,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holly F. Ryan","contributorId":210623,"corporation":false,"usgs":false,"family":"Holly F. Ryan","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":751273,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dartnell, Peter 0000-0002-9554-729X pdartnell@usgs.gov","orcid":"https://orcid.org/0000-0002-9554-729X","contributorId":210624,"corporation":false,"usgs":true,"family":"Dartnell","given":"Peter","email":"pdartnell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":751274,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sliter, Ray 0000-0003-0337-3454 rsliter@usgs.gov","orcid":"https://orcid.org/0000-0003-0337-3454","contributorId":210625,"corporation":false,"usgs":true,"family":"Sliter","given":"Ray","email":"rsliter@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":751275,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70204623,"text":"70204623 - 2019 - Remote sensing as the foundation for high-resolution United States landscape projections – The Land Change Monitoring, assessment, and projection (LCMAP) initiative","interactions":[],"lastModifiedDate":"2019-08-07T09:37:29","indexId":"70204623","displayToPublicDate":"2019-07-31T09:35:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"Remote sensing as the foundation for high-resolution United States landscape projections – The Land Change Monitoring, assessment, and projection (LCMAP) initiative","docAbstract":"The Land Change Monitoring, Assessment, and Projection (LCMAP) initiative uses temporally dense Landsat data and time series analyses to characterize landscape change in the United States from 1985 to present. LCMAP will be used to explain how past, present, and future landscape change affects society and natural systems. Here, we describe a modeling framework for producing high-resolution (spatial and thematic) landscape projections at a national scale, using a unique parcel-based modeling framework. The methodology was tested by modeling 11 land use scenarios and 3 climate realizations for the U.S. Great Plains. Results demonstrate 1) an ability to balance competing land-use demands from quite variable, complex scenarios, 2) urban growth that matches theoretical future patterns, 3) the value of remote sensing data sources for model parameterization and for deriving landscape parcels, and 4) a pragmatic approach that facilitates the development of high thematic- and spatial-resolution projections at a national scale.
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dynamics","interactions":[],"lastModifiedDate":"2020-07-27T14:32:40.30044","indexId":"70211319","displayToPublicDate":"2019-07-31T09:23:13","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"22","title":"Agri-tourism and rural outdoor recreation in the US: A framework for understanding economic and employment dynamics","docAbstract":"Agri-tourism and rural outdoor recreation are positioned at an important intersection between agricultural, natural resource, economic development and rural issues. This chapter summarizes some of the important dynamics of these sectors, including the role of land use, regional drivers, motivations for farmers and travelers, and economic impacts. As a means to illustrate several key points, highlights of several case studies, papers and reports about rural outdoor and agricultural tourism are summarized. 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slag and its potential to remove phosphate and neutralize acid","docAbstract":"Iron and steel slags from legacy and modern operations in the Chicago-Gary area of Illinois and Indiana, USA, are predominantly composed of Ca (10 - 44 wt. % CaO), Fe, (0.3 - 28 wt. % FeO), and Si (10 - 44 wt. % SiO2), with generally lesser amounts of Al (< 1 15 wt. % Al2O3), Mg (2 11 wt. % MgO), and Mn (0.3 9 wt. % MnO). Mineralogy is dominated by CaMgAl silicates, FeCa oxides, Ca-carbonates, and high temperature SiO2 phases. Chromium and Mn concentrations in most samples may be environmentally significant based on comparison with generic soil contaminant guidelines. However, simulated weathering tests suggest these elements are present in generally insoluble phases making use in water treatment applications possible; generation of high pH and alkaline solutions may be an issue. As for water treatment applications, batch and flow-through experiments document effective removal of phosphate from synthetic solutions for nearly all slag samples. Air-cooled fine fractions (< 10 mm) of modern slag were most effective; other types, including modern granulated, modern air-cooled coarse fractions (> 10 mm), and legacy slag removed phosphate, but to a lesser degree. An additional water treatment application is the use of slag to neutralize acidic waters. Most slag samples are extremely alkaline and have high net neutralization potentials (NNP) (400 830 kg CaCO3/t), with the highest approximately equivalent to 80% the neutralization potential of calcite. Overall, phosphate removal capacity and NNP correlate positively with total Ca content and the dissolution of Ca minerals facilitates secondary Ca phosphate formation and consumes acid during hydrolysis. Utilizing locally available slag to treat waste or agricultural waters in this region may be a higher value alternative than use in construction, potentially offsetting restoration costs to degraded legacy areas and decreasing steel manufacturers current waste footprint.","language":"English","publisher":"MDPI","doi":"10.3390/min9080468","usgsCitation":"Piatak, N.M., Seal,, R., Hoppe, D.A., Green, C.J., and Buszka, P.M., 2019, Geochemical characterization of iron and steel slag and its potential to remove phosphate and neutralize acid: Minerals, v. 9, no. 8, 468, 26 p., https://doi.org/10.3390/min9080468.","productDescription":"468, 26 p.","ipdsId":"IP-109123","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":467407,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/min9080468","text":"Publisher Index Page"},{"id":376012,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":385609,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9X7SPIK","text":"USGS Data Release","description":"USGS Data Release","linkHelpText":"Geochemical characterization, acid neutralization potential, and phosphate removal capacity of modern and legacy iron and steel slag from the Chicago-Gary area of Illinois and Indiana, USA"}],"volume":"9","issue":"8","noUsgsAuthors":false,"publicationDate":"2019-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Piatak, Nadine M. 0000-0002-1973-8537 npiatak@usgs.gov","orcid":"https://orcid.org/0000-0002-1973-8537","contributorId":193010,"corporation":false,"usgs":true,"family":"Piatak","given":"Nadine","email":"npiatak@usgs.gov","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":791755,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seal,, Robert R. II 0000-0003-0901-2529 rseal@usgs.gov","orcid":"https://orcid.org/0000-0003-0901-2529","contributorId":141204,"corporation":false,"usgs":true,"family":"Seal,","given":"Robert R.","suffix":"II","email":"rseal@usgs.gov","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":791756,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoppe, Darryl Andre 0000-0003-3369-5577","orcid":"https://orcid.org/0000-0003-3369-5577","contributorId":225586,"corporation":false,"usgs":true,"family":"Hoppe","given":"Darryl","email":"","middleInitial":"Andre","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":791757,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Green, Carlin J. 0000-0002-6557-6268 cjgreen@usgs.gov","orcid":"https://orcid.org/0000-0002-6557-6268","contributorId":193013,"corporation":false,"usgs":true,"family":"Green","given":"Carlin","email":"cjgreen@usgs.gov","middleInitial":"J.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":791758,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buszka, Paul M. 0000-0001-8218-826X pmbuszka@usgs.gov","orcid":"https://orcid.org/0000-0001-8218-826X","contributorId":1786,"corporation":false,"usgs":true,"family":"Buszka","given":"Paul","email":"pmbuszka@usgs.gov","middleInitial":"M.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791759,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203774,"text":"fs20193034 - 2019 - U.S. Geological Survey response to chronic wasting disease","interactions":[],"lastModifiedDate":"2019-08-01T07:27:53","indexId":"fs20193034","displayToPublicDate":"2019-07-30T15:15:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-3034","displayTitle":"U.S. Geological Survey Response to Chronic Wasting Disease","title":"U.S. Geological Survey response to chronic wasting disease","docAbstract":"The U.S. Geological Survey (USGS) is focused on the development of early detection and effective response tools that promote an adaptive management approach to chronic wasting disease (CWD). USGS scientists across the United States are working to understand the biology of CWD, assess and predict the spread and persistence in wildlife and the environment, and develop tools for early detection and control.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193034","usgsCitation":"Hopkins, M.C., and Soileau, S.C., 2019, U.S. Geological Survey response to chronic wasting disease: U.S. Geological Survey Fact Sheet 2019–3034, 4 p., https://doi.org/10.3133/fs20193034.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-107455","costCenters":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":366033,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3034/coverthb.jpg"},{"id":366000,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3034/fs20193034.pdf","text":"Report","size":"2.83 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019-3034"}],"contact":"Associate Director, Ecosystems
U.S. Geological Survey
12201 Sunrise Valley Drive
Mail Stop 300
Reston, VA 20192
Nutrients, specifically nitrogen and phosphorus, are necessary for healthy aquatic communities to thrive, but if nutrient concentrations are too high, water quality can be degraded and natural aquatic communities may be destroyed. Nutrients consistently have been listed nationally as one of the top five causes of stream and river impairments, and agriculture consistently has been identified as the leading known source. The Mississippi River watershed was identified as a top priority for nutrient reductions because of the predominant agricultural land use, the associated harmful effects of nutrient loading on local water bodies, and the resulting annual midsummer northern Gulf of Mexico hypoxic “dead” zone. In 2010, the Natural Resources Conservation Service started the Mississippi River Basin Healthy Watersheds Initiative, which offers financial and technical assistance for voluntary conservation practices on agricultural lands. The intention is to reduce nutrient and sediment export to waterways within the Mississippi River watershed. The U.S. Geological Survey Missouri Water Science Center and the Missouri Department of Natural Resources began a cooperative study in 2010 to compare temporal changes in total nitrogen and total phosphorus concentrations in the Lower Grand River.
Despite increases in conservation practice funding from the Mississippi River Basin Healthy Watersheds Initiative during 2011–15 for the Lower Grand River, decreases in flow-normalized total nitrogen and total phosphorus concentrations during this same period at the Grand River site were less than at the other long-term Missouri River tributary sites that did not receive additional funding. The flow-normalized total nitrogen and total phosphorus concentrations at the three long-term Missouri River tributary sites were related to the amount of agricultural land use within their watersheds and livestock manure may be a substantial source of stream nitrogen. Monthly total nitrogen and total phosphorus concentrations within the Lower Grand River increased with increased streamflow, indicating that the major sources of nitrogen and phosphorus are runoff or nutrients that are stored in soils within the streambank that mobilize during higher streamflows. Programs such as the Mississippi River Basin Healthy Watersheds Initiative are intended to encourage voluntary agricultural conservation practices to enhance soil health and reduce nutrient export to streams.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193038","collaboration":"Prepared in cooperation with Missouri Department of Natural Resources","usgsCitation":"Krempa, H.M., 2019, Nutrients in northern Missouri streams: U.S. Geological Survey Fact Sheet 2019–3038, 4 p., https://doi.org/10.3133/fs20193038.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","ipdsId":"IP-091415","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":366037,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3038/fs20193038.pdf","text":"Report","size":"861 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019–3038"},{"id":366036,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3038/coverthb2.jpg"}],"country":"United States","state":"Missouri","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.2,\n 39.2\n ],\n [\n -92.5,\n 39.2\n ],\n [\n -92.5,\n 41.5\n ],\n [\n -95.2,\n 41.5\n ],\n [\n -95.2,\n 39.2\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Midwest Water Science Center
U.S. Geological Survey
1400 Independence Road
Rolla, MO 65401
Gradients of fire severity in dry conifer forests can be associated with variation in understory floristic composition. Recent work in dry conifer forests in California, USA, has suggested that more severely burned stands contain more thermophilic taxa (those associated with warmer and drier conditions), and that forest disturbance may therefore accelerate floristic shifts already underway due to climate change. However, it remains unknown how rapidly thermophilic taxa shifts occur following disturbance, how long such shifts are likely to persist, and how different thermophilic post‐disturbance communities are from pre‐disturbance communities.
Colorado Front Range, USA.
We investigated these questions using a unique 15‐year vegetation plot dataset that captures pre‐ and post‐fire understory community composition across a gradient of fire severity in dry conifer forests, classifying taxa using the biogeographic affinity concept.
Thermophilization (defined here as a decrease in the ratio of cool‐mesic taxa to warm‐xeric taxa, based on biogeographic affinity of paleobotanical lineages) was observed as early as one year post‐fire for all fire severity classes, but was stronger at sites that burned at higher severity. The ratio of cool‐mesic to warm‐xeric taxa recovered to pre‐fire levels within 10 years in stands that burned at low severity, but not in stands that burned at moderate or high severity. The process of thermophilization after high‐severity fire appears to be driven primarily by the gain of warm‐xeric taxa that were absent before the fire, but losses of cool‐mesic taxa, which did not return during the duration of the study, also played a role.
Decreases in canopy cover appear to be a main contributor to understory thermophilization. Fine‐scale heterogeneity in post‐fire forest structure is likely an important driver of floristic diversity, creating the microclimatic variation necessary to maintain floristic refugia for species mal‐adapted to increasingly warm and dry conditions.
","language":"English","publisher":"Wiley","doi":"10.1111/jvs.12796","usgsCitation":"Stevens, J., Miller, J., and Fornwalt, P.J., 2019, Fire severity and changing composition of forest understory plant communities: Journal of Vegetation Science, v. 30, p. 1099-1109, https://doi.org/10.1111/jvs.12796.","productDescription":"11 p.","startPage":"1099","endPage":"1109","ipdsId":"IP-104215","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":380474,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.68435668945312,\n 39.10875135935859\n ],\n [\n -105.30532836914062,\n 39.10875135935859\n ],\n [\n -105.30532836914062,\n 39.35659979720227\n ],\n [\n -105.68435668945312,\n 39.35659979720227\n ],\n [\n -105.68435668945312,\n 39.10875135935859\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30","noUsgsAuthors":false,"publicationDate":"2019-09-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Stevens, Jens 0000-0002-2234-1960","orcid":"https://orcid.org/0000-0002-2234-1960","contributorId":222191,"corporation":false,"usgs":true,"family":"Stevens","given":"Jens","email":"","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":804777,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Jesse","contributorId":147734,"corporation":false,"usgs":false,"family":"Miller","given":"Jesse","email":"","affiliations":[{"id":16916,"text":"Dept. of Zoology, University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":804778,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fornwalt, Paula J.","contributorId":196676,"corporation":false,"usgs":false,"family":"Fornwalt","given":"Paula","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":804779,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70205899,"text":"70205899 - 2019 - Reduced soil macropores and forest cover reduce warm-season baseflow below ecological thresholds in the upper Delaware River Basin","interactions":[],"lastModifiedDate":"2019-10-09T12:58:42","indexId":"70205899","displayToPublicDate":"2019-07-30T12:53:41","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Reduced soil macropores and forest cover reduce warm-season baseflow below ecological thresholds in the upper Delaware River Basin","docAbstract":"We examined the impacts of changes in land cover and soil conditions on the flow regime of the upper Delaware River Basin using the Water Availability Tool for Environmental Resources (WATER). We simulated flows for two periods, circa 1600 and 1940, at three sites using the same temperature and precipitation conditions: the East Branch (EB), West Branch (WB), and mainstem Delaware River at Callicoon, NY. The 1600 period represented pristine forest and soils. The 1940 period included reduced forest cover, increased agriculture, and degraded soils with reduced soil macropore fractions. A model-sensitivity test examined the impact of soil macropore and land cover change separately. We assessed changes in flow regimes between the 1600 and 1940 periods using a variety of flow statistics, including established ecological limits of hydrologic alteration (ELOHA) thresholds. Reduced forest soil macropore fraction significantly reduced summer and fall base flows. The 1940 period had significantly lower Q50 flows (50% exceedance) than the 1600 period, as well as summer and fall Q90 and Q75-90 flows below the ELOHA thresholds. The 1- to 7-day minimum flows were also lower for the 1940 period, by 17% on the mainstem. 1940 flows were 6% more likely than the 1600 period to fall below the low-flow threshold for federally endangered dwarf wedgemussel (Alasmidonta heterodon) habitat. In contrast, the 1940 period had higher flows than the 1600 period from late fall to early winter.","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12777","usgsCitation":"Endreny, T.A., Kwon, P.Y., Williamson, T.N., and Evans, R., 2019, Reduced soil macropores and forest cover reduce warm-season baseflow below ecological thresholds in the upper Delaware River Basin: Journal of the American Water Resources Association, v. 55, no. 5, p. 1268-1287, https://doi.org/10.1111/1752-1688.12777.","productDescription":"20 p.","startPage":"1268","endPage":"1287","ipdsId":"IP-091449","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":368171,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York, Pennsylvania","otherGeospatial":"Upper Delaware River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.5966796875,\n 40.9964840143779\n ],\n [\n -74.3389892578125,\n 40.9964840143779\n ],\n [\n -74.3389892578125,\n 42.85583308674893\n ],\n [\n -76.5966796875,\n 42.85583308674893\n ],\n [\n -76.5966796875,\n 40.9964840143779\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"55","issue":"5","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Endreny, Theodore A.","contributorId":195489,"corporation":false,"usgs":false,"family":"Endreny","given":"Theodore","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":772809,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kwon, Peter Yong Seuk","contributorId":219658,"corporation":false,"usgs":false,"family":"Kwon","given":"Peter","email":"","middleInitial":"Yong Seuk","affiliations":[{"id":34139,"text":"Anchor QEA","active":true,"usgs":false}],"preferred":false,"id":772810,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williamson, Tanja N. 0000-0002-7639-8495 tnwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-7639-8495","contributorId":198329,"corporation":false,"usgs":true,"family":"Williamson","given":"Tanja","email":"tnwillia@usgs.gov","middleInitial":"N.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772808,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Evans, Richard","contributorId":216306,"corporation":false,"usgs":false,"family":"Evans","given":"Richard","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":772811,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70204576,"text":"70204576 - 2019 - Characterizing crop water use dynamics in the Central Valley of California using landsat-derived evapotranspiration","interactions":[],"lastModifiedDate":"2019-08-07T08:59:41","indexId":"70204576","displayToPublicDate":"2019-07-30T12:20:01","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing crop water use dynamics in the Central Valley of California using landsat-derived evapotranspiration","docAbstract":"Understanding how different crops use water over time is essential for planning and managing water allocation, water rights, and agricultural production. The main objective of this paper is to characterize the spatiotemporal dynamics of crop water use in the Central Valley of California using Landsat-based annual actual evapotranspiration (ETa) from 2008 to 2018 derived from the Operational Simplified Surface Energy Balance (SSEBop) model. Crop water use for 10 crops is characterized at multiple scales. The Mann–Kendall trend analysis revealed a significant increase in area cultivated with almonds and their water use, with an annual rate of change of 16,327 ha in area and 13,488 ha-m in water use. Conversely, alfalfa showed a significant decline with 12,429 ha in area and 13,901 ha-m in water use per year during the same period. A pixel-based Mann–Kendall trend analysis showed the changing crop type and water use at the level of individual fields for all of Kern County in the Central Valley. This study demonstrates the useful application of historical Landsat ET to produce relevant water management information. Similar studies can be conducted at regional and global scales to understand and quantify the relationships between land cover change and its impact on water use.","language":"English","publisher":"MDPI","doi":"10.3390/rs11151782","usgsCitation":"Schauer, M., and Senay, G., 2019, Characterizing crop water use dynamics in the Central Valley of California using landsat-derived evapotranspiration: Remote Sensing, v. 15, no. 11, 22 p., https://doi.org/10.3390/rs11151782.","productDescription":"22 p.","ipdsId":"IP-085933","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":467408,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs11151782","text":"Publisher Index Page"},{"id":366308,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"15","issue":"11","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Schauer, Matthew 0000-0002-4198-3379","orcid":"https://orcid.org/0000-0002-4198-3379","contributorId":216909,"corporation":false,"usgs":true,"family":"Schauer","given":"Matthew","email":"","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":767618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, Gabriel 0000-0002-8810-8539","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":216910,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":767617,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70204757,"text":"70204757 - 2019 - Toward sustainable environmental quality: Priority research questions for North America","interactions":[],"lastModifiedDate":"2019-08-15T11:00:39","indexId":"70204757","displayToPublicDate":"2019-07-30T10:55:32","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Toward sustainable environmental quality: Priority research questions for North America","docAbstract":"Anticipating, identifying, and prioritizing strategic needs represent essential activities by research organizations. Decided benefits emerge when these pursuits engage globally important environment and health goals, including the United Nations Sustainable Development Goals. To this end, horizon scanning efforts can facilitate identification of specific research needs to address grand challenges. We report and discuss 40 priority research questions following engagement of scientists and engineers in North America. These timely questions identify the importance of stimulating innovation and developing new methods, tools, and concepts in environmental chemistry and toxicology to improve assessment and management of chemical contaminants and other diverse environmental stressors. Grand challenges to achieving sustainable management of the environment are becoming increasingly complex and structured by global megatrends, which collectively challenge existing sustainable environmental quality efforts. Transdisciplinary, systems‐based approaches will be required to define and avoid adverse biological effects across temporal and spatial gradients. Similarly, coordinated research activities among organizations within and among countries are necessary to address the priority research needs reported here. Acquiring answers to these 40 research questions will not be trivial, but doing so promises to advance sustainable environmental quality in the 21st century.